hep-eppsu-software.bib

@article{10.1145/2934664,
  author     = {Zaharia, Matei and Xin, Reynold S. and Wendell, Patrick and Das, Tathagata and Armbrust, Michael and Dave, Ankur and Meng, Xiangrui and Rosen, Josh and Venkataraman, Shivaram and Franklin, Michael J. and Ghodsi, Ali and Gonzalez, Joseph and Shenker, Scott and Stoica, Ion},
  title      = {Apache Spark: a unified engine for big data processing},
  year       = {2016},
  issue_date = {November 2016},
  publisher  = {Association for Computing Machinery},
  address    = {New York, NY, USA},
  volume     = {59},
  number     = {11},
  issn       = {0001-0782},
  url        = {https://doi.org/10.1145/2934664},
  doi        = {10.1145/2934664},
  abstract   = {This open source computing framework unifies streaming, batch, and interactive big data workloads to unlock new applications.},
  journal    = {Commun. ACM},
  month      = oct,
  pages      = {56–65},
  numpages   = {10}
}

@article{10.21468/SciPostPhys.16.5.130,
  title     = {{Event generators for high-energy physics experiments}},
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               and J. Isaacson and F. Kling and S. Mrenna and J. Reuter and S. Alioli
               and J. R. Andersen and C. Andreopoulos and A. M. Ankowski and E. C.
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               Denner and F. A. Dreyer and S. Dytman and B. K. El-Menoufi and T. Engel
               and S. Ferrario Ravasio and D. Figueroa and L. Flower and J. R. Forshaw
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  publisher = {SciPost},
  doi       = {10.21468/SciPostPhys.16.5.130},
  url       = {https://scipost.org/10.21468/SciPostPhys.16.5.130}
}

@article{10.21468/SciPostPhys.8.2.026,
  title     = {{Robust Independent Validation of Experiment and Theory: Rivet version 3}},
  author    = {Christian Bierlich and Andy Buckley and Jonathan Butterworth and Christian Holm Christensen and Louie Corpe and David Grellscheid and Jan Fiete Grosse-Oetringhaus and Christian Gutschow and Przemyslaw Karczmarczyk and Jochen Klein and Leif Lonnblad and Christopher Samuel Pollard and Peter Richardson and Holger Schulz and Frank Siegert},
  journal   = {SciPost Phys.},
  volume    = {8},
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  year      = {2020},
  publisher = {SciPost},
  doi       = {10.21468/SciPostPhys.8.2.026},
  url       = {https://scipost.org/10.21468/SciPostPhys.8.2.026}
}

@article{10.3389/fdata.2025.1497622,
  author  = {Reinsvold Hall, Allison  and Skidmore, Nicole  and Benelli, Gabriele  and Carlson, Ben  and David, Claire  and Davies, Jonathan  and Deconinck, Wouter  and DeMuth, David  and Elmer, Peter  and Garg, Rocky Bala  and Hageböck, Stephan  and Lieret, Killian  and Lukashenko, Valeriia  and Malik, Sudhir  and Morris, Andy  and Schellman, Heidi  and Stewart, Graeme A.  and Veatch, Jason  and Hernandez Villanueva, Michel },
  title   = {Training and onboarding initiatives in high energy physics experiments},
  journal = {Frontiers in Big Data},
  volume  = {8},
  year    = {2025},
  url     = {https://www.frontiersin.org/journals/big-data/articles/10.3389/fdata.2025.1497622},
  doi     = {10.3389/fdata.2025.1497622},
  issn    = {2624-909X}
}

@article{1610988,
  author   = {Allison, J. and Amako, K. and Apostolakis, J. and Araujo, H. and Arce Dubois, P. and Asai, M. and Barrand, G. and Capra, R. and Chauvie, S. and Chytracek, R. and Cirrone, G.A.P. and Cooperman, G. and Cosmo, G. and Cuttone, G. and Daquino, G.G. and Donszelmann, M. and Dressel, M. and Folger, G. and Foppiano, F. and Generowicz, J. and Grichine, V. and Guatelli, S. and Gumplinger, P. and Heikkinen, A. and Hrivnacova, I. and Howard, A. and Incerti, S. and Ivanchenko, V. and Johnson, T. and Jones, F. and Koi, T. and Kokoulin, R. and Kossov, M. and Kurashige, H. and Lara, V. and Larsson, S. and Lei, F. and Link, O. and Longo, F. and Maire, M. and Mantero, A. and Mascialino, B. and McLaren, I. and Mendez Lorenzo, P. and Minamimoto, K. and Murakami, K. and Nieminen, P. and Pandola, L. and Parlati, S. and Peralta, L. and Perl, J. and Pfeiffer, A. and Pia, M.G. and Ribon, A. and Rodrigues, P. and Russo, G. and Sadilov, S. and Santin, G. and Sasaki, T. and Smith, D. and Starkov, N. and Tanaka, S. and Tcherniaev, E. and Tome, B. and Trindade, A. and Truscott, P. and Urban, L. and Verderi, M. and Walkden, A. and Wellisch, J.P. and Williams, D.C. and Wright, D. and Yoshida, H.},
  journal  = {IEEE Transactions on Nuclear Science},
  title    = {Geant4 developments and applications},
  year     = {2006},
  volume   = {53},
  number   = {1},
  pages    = {270-278},
  keywords = {Object oriented modeling;Physics;Production;Kernel;Application software;Large Hadron Collider;Software tools;Medical simulation;Astrophysics;Protection;Electromagnetic interactions;hadronic interactions;object-oriented technology;particle interactions;physics validation;simulation},
  doi      = {10.1109/TNS.2006.869826}
}

@article{Aaij2020Allen,
  author  = {Aaij, R.  and  Albrecht, J.  and  Belous, M.  and  Billoir, P.  and  Boettcher, T.  and  Brea Rodríguez, A.  and  vom Bruch, D.  and  Cámpora Pérez, D. H.  and  Casais Vidal, A.  and  Craik, D. C.  and  Fernandez Declara, P.  and  Funke, L.  and  Gligorov, V. V.  and  Jashal, B.  and  Kazeev, N.  and  Martínez Santos, D.  and  Pisani, F.  and  Pliushchenko, D.  and  Popov, S.  and  Quagliani, R.  and  Rangel, M.  and  Reiss, F.  and  Sánchez Mayordomo, C.  and  Schwemmer, R.  and  Sokoloff, M.  and  Stevens, H.  and  Ustyuzhanin, A.  and  Vilasís Cardona, X.  and  Williams, M.},
  title   = {Allen: A High-Level Trigger on GPUs for LHCb},
  journal = {Computing and Software for Big Science},
  year    = {2020},
  volume  = {4},
  issue   = {1},
  pages   = {7-},
  doi     = {10.1007/s41781-020-00039-7},
  url     = {https://doi.org/10.1007/s41781-020-00039-7}
}

@article{Aamir_2024,
  title     = {Using graph neural networks to reconstruct charged pion showers
               in the CMS High Granularity Calorimeter},
  volume    = {19},
  issn      = {1748-0221},
  url       = {http://dx.doi.org/10.1088/1748-0221/19/11/P11025},
  doi       = {10.1088/1748-0221/19/11/p11025},
  number    = {11},
  journal   = {Journal of Instrumentation},
  publisher = {IOP Publishing},
  author    = {CMS Collaboration},
  year      = {2024},
  month     = nov,
  pages     = {P11025}
}

@online{AdePT,
  title = {AdePT: Accelerated demonstrator of electromagnetic Particle Transport},
  url   = {https://github.com/apt-sim/AdePT}
}

@article{af3,
  author        = {{ATLAS Collaboration}},
  title         = {{AtlFast3: The Next Generation of Fast Simulation in ATLAS}},
  journal       = {Comput. Softw. Big Sci.},
  volume        = {6},
  year          = {2022},
  pages         = {7},
  doi           = {10.1007/s41781-021-00079-7},
  reportnumber  = {CERN-EP-2021-174},
  eprint        = {2109.02551},
  archiveprefix = {arXiv},
  primaryclass  = {hep-ex}
}

@article{Ai2022Common,
  author  = {Ai, Xiaocong  and  Allaire, Corentin  and  Calace, Noemi  and  Czirkos, Angéla  and  Elsing, Markus  and  Ene, Irina  and  Farkas, Ralf  and  Gagnon, Louis-Guillaume  and  Garg, Rocky  and  Gessinger, Paul  and  Grasland, Hadrien  and  Gray, Heather M.  and  Gumpert, Christian  and  Hrdinka, Julia  and  Huth, Benjamin  and  Kiehn, Moritz  and  Klimpel, Fabian  and  Kolbinger, Bernadette  and  Krasznahorkay, Attila  and  Langenberg, Robert  and  Leggett, Charles  and  Mania, Georgiana  and  Moyse, Edward  and  Niermann, Joana  and  Osborn, Joseph D.  and  Rousseau, David  and  Salzburger, Andreas  and  Schlag, Bastian  and  Tompkins, Lauren  and  Yamazaki, Tomohiro  and  Yeo, Beomki  and  Zhang, Jin},
  title   = {A Common Tracking Software Project},
  journal = {Computing and Software for Big Science},
  year    = {2022},
  volume  = {6},
  issue   = {1},
  pages   = {8-},
  doi     = {10.1007/s41781-021-00078-8},
  url     = {https://doi.org/10.1007/s41781-021-00078-8}
}

@article{ALICE:LS2_upgrades,
  doi       = {10.1088/1748-0221/19/05/P05062},
  url       = {https://dx.doi.org/10.1088/1748-0221/19/05/P05062},
  year      = {2024},
  month     = may,
  publisher = {IOP Publishing},
  volume    = {19},
  number    = {05},
  pages     = {P05062},
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Wang, D. and Wang, Y. and Warmack, B. and Wegrzynek, A. and Weidlich, C.A. and Weiglhofer, F.T. and Wenzel, S.C. and Wessels, J.P. and Weyhmiller, S.L. and Wheadon, R. and Wiechula, J. and Wikne, J. and Wilk, G. and Wilkinson, J. and Willems, G.A. and Windelband, B. and Winkler, S.J. and Winn, M. and Witt, W.E. and Wright, J.R. and Wu, W. and Wu, Y. and Xu, R. and Yadav, A. and Yadav, A.K. and Yalcin, S. and Yamaguchi, Y. and Yang, S. and Yano, S. and Yin, Z. and Yoo, I.-K. and Yoon, J.H. and Yuan, S. and Yuncu, A. and Zabloudil, V. and Zaccolo, V. and Zampolli, C. and Zanone, F. and Zardoshti, N. and Zarochentsev, A. and Závada, P. and Zaviyalov, N. and Zhalov, M. and Zhang, B. and Zhang, E. and Zhang, F. and Zhang, L. and Zhang, S. and Zhang, X. and Zhang, Y. and Zhang, Z. and Zhao, M. and Zherebchevskii, V. and Zhi, Y. and Zhou, D. and Zhou, Y. and Zhu, J. and Zhu, Y. and Zugravel, S.C. and Zurlo, N. and ALICE Collaboration},
  title     = {ALICE upgrades during the LHC Long Shutdown 2},
  journal   = {Journal of Instrumentation},
  abstract  = {A Large Ion Collider Experiment (ALICE) has been conceived and constructed as a heavy-ion experiment at the LHC. During LHC Runs 1 and 2, it has produced a wide range of physics results using all collision systems available at the LHC.  In order to best exploit new physics opportunities opening up with the upgraded LHC and new detector technologies, the experiment has undergone a major upgrade during the LHC Long Shutdown 2 (2019–2022). This comprises the move to continuous readout, the complete overhaul of core detectors, as well as a new online event processing farm with a redesigned online-offline software framework.  These improvements will allow to record Pb-Pb collisions at rates up to 50 kHz, while ensuring sensitivity for signals without a triggerable signature.}
}

@article{ALLISON2016187,
  title    = {Recent developments in Geant4},
  journal  = {Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment},
  volume   = {835},
  pages    = {186-225},
  year     = {2016},
  issn     = {0168-9002},
  doi      = {https://doi.org/10.1016/j.nima.2016.06.125},
  url      = {https://www.sciencedirect.com/science/article/pii/S0168900216306957},
  author   = {J. Allison and K. Amako and J. Apostolakis and P. Arce and M. Asai and T. Aso and E. Bagli and A. Bagulya and S. Banerjee and G. Barrand and B.R. Beck and A.G. Bogdanov and D. Brandt and J.M.C. Brown and H. Burkhardt and Ph. Canal and D. Cano-Ott and S. Chauvie and K. Cho and G.A.P. Cirrone and G. Cooperman and M.A. Cortés-Giraldo and G. Cosmo and G. Cuttone and G. Depaola and L. Desorgher and X. Dong and A. Dotti and V.D. Elvira and G. Folger and Z. Francis and A. Galoyan and L. Garnier and M. Gayer and K.L. Genser and V.M. Grichine and S. Guatelli and P. Guèye and P. Gumplinger and A.S. Howard and I. Hřivnáčová and S. Hwang and S. Incerti and A. Ivanchenko and V.N. Ivanchenko and F.W. Jones and S.Y. Jun and P. Kaitaniemi and N. Karakatsanis and M. Karamitros and M. Kelsey and A. Kimura and T. Koi and H. Kurashige and A. Lechner and S.B. Lee and F. Longo and M. Maire and D. Mancusi and A. Mantero and E. Mendoza and B. Morgan and K. Murakami and T. Nikitina and L. Pandola and P. Paprocki and J. Perl and I. Petrović and M.G. Pia and W. Pokorski and J.M. Quesada and M. Raine and M.A. Reis and A. Ribon and A. {Ristić Fira} and F. Romano and G. Russo and G. Santin and T. Sasaki and D. Sawkey and J.I. Shin and I.I. Strakovsky and A. Taborda and S. Tanaka and B. Tomé and T. Toshito and H.N. Tran and P.R. Truscott and L. Urban and V. Uzhinsky and J.M. Verbeke and M. Verderi and B.L. Wendt and H. Wenzel and D.H. Wright and D.M. Wright and T. Yamashita and J. Yarba and H. Yoshida},
  keywords = {High energy physics, Nuclear physics, Radiation, Simulation, Computing},
  abstract = {Geant4 is a software toolkit for the simulation of the passage of particles through matter. It is used by a large number of experiments and projects in a variety of application domains, including high energy physics, astrophysics and space science, medical physics and radiation protection. Over the past several years, major changes have been made to the toolkit in order to accommodate the needs of these user communities, and to efficiently exploit the growth of computing power made available by advances in technology. The adaptation of Geant4 to multithreading, advances in physics, detector modeling and visualization, extensions to the toolkit, including biasing and reverse Monte Carlo, and tools for physics and release validation are discussed here.}
}

@misc{alshehri2024pyhepdev2024workshopsummary,
  title         = {PyHEP.dev 2024 Workshop Summary Report, August 26-30 2024, Aachen, Germany},
  author        = {Azzah Alshehri and Jan Bürger and Saransh Chopra and Niclas Eich and Jonas Eppelt and Martin Erdmann and Jonas Eschle and Peter Fackeldey and Maté Farkas and Matthew Feickert and Tristan Fillinger and Benjamin Fischer and Stefan Fröse and Lino Oscar Gerlach and Nikolai Hartmann and Alexander Heidelbach and Alexander Held and Marian I Ivanov and Josué Molina and Yaroslav Nikitenko and Ianna Osborne and Vincenzo Eduardo Padulano and Jim Pivarski and Cyrille Praz and Marcel Rieger and Eduardo Rodrigues and Oksana Shadura and Juraj Smieško and Giordon Holtsberg Stark and Judith Steinfeld and Angela Warkentin},
  year          = {2024},
  eprint        = {2410.02112},
  archiveprefix = {arXiv},
  primaryclass  = {hep-ex},
  url           = {https://arxiv.org/abs/2410.02112}
}

@article{Alwall:2011uj,
  author        = {Alwall, Johan and Herquet, Michel and Maltoni, Fabio and
                   Mattelaer, Olivier and Stelzer, Tim},
  title         = {{MadGraph 5 : Going Beyond}},
  eprint        = {1106.0522},
  archiveprefix = {arXiv},
  primaryclass  = {hep-ph},
  reportnumber  = {FERMILAB-PUB-11-448-T},
  doi           = {10.1007/JHEP06(2011)128},
  journal       = {JHEP},
  volume        = {06},
  pages         = {128},
  year          = {2011}
}

@article{Alwall:2014hca,
  author        = {Alwall, J. and Frederix, R. and Frixione, S. and Hirschi, V. and Maltoni, F. and Mattelaer, O. and Shao, H. -S. and Stelzer, T. and Torrielli, P. and Zaro, M.},
  title         = {{The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations}},
  eprint        = {1405.0301},
  archiveprefix = {arXiv},
  primaryclass  = {hep-ph},
  reportnumber  = {CERN-PH-TH-2014-064, CP3-14-18, LPN14-066, MCNET-14-09, ZU-TH-14-14},
  doi           = {10.1007/JHEP07(2014)079},
  journal       = {JHEP},
  volume        = {07},
  pages         = {079},
  year          = {2014}
}

@article{ALWALL2007300,
  title    = {A standard format for Les Houches Event Files},
  journal  = {Computer Physics Communications},
  volume   = {176},
  number   = {4},
  pages    = {300-304},
  year     = {2007},
  issn     = {0010-4655},
  doi      = {https://doi.org/10.1016/j.cpc.2006.11.010},
  url      = {https://www.sciencedirect.com/science/article/pii/S0010465506004164},
  author   = {J. Alwall and A. Ballestrero and P. Bartalini and S. Belov and E. Boos and A. Buckley and J.M. Butterworth and L. Dudko and S. Frixione and L. Garren and S. Gieseke and A. Gusev and I. Hinchliffe and J. Huston and B. Kersevan and F. Krauss and N. Lavesson and L. Lönnblad and E. Maina and F. Maltoni and M.L. Mangano and F. Moortgat and S. Mrenna and C.G. Papadopoulos and R. Pittau and P. Richardson and M.H. Seymour and A. Sherstnev and T. Sjöstrand and P. Skands and S.R. Slabospitsky and Z. Wa̧s and B.R. Webber and M. Worek and D. Zeppenfeld},
  keywords = {Event generators, Les Houches Accord, File format},
  abstract = {A standard file format is proposed to store process and event information, primarily output from parton-level event generators for further use by general-purpose ones. The information content is identical with what was already defined by the Les Houches Accord five years ago, but then in terms of Fortran commonblocks. This information is embedded in a minimal XML-style structure, for clarity and to simplify parsing.}
}

@article{Amadio_2023,
  title     = {Offloading electromagnetic shower transport to GPUs},
  volume    = {2438},
  issn      = {1742-6596},
  url       = {http://dx.doi.org/10.1088/1742-6596/2438/1/012055},
  doi       = {10.1088/1742-6596/2438/1/012055},
  number    = {1},
  journal   = {Journal of Physics: Conference Series},
  publisher = {IOP Publishing},
  author    = {Amadio, G and Apostolakis, J and Buncic, P and Cosmo, G and Dosaru, D and Gheata, A and Hageboeck, S and Hahnfeld, J and Hodgkinson, M and Morgan, B and Novak, M and Petre, A A and Pokorski, W and Ribon, A and Stewart, G A and Vila, P M},
  year      = {2023},
  month     = feb,
  pages     = {012055}
}

@article{Andersen:2020sjs,
  author        = {Andersen, Jeppe R. and G\"utschow, Christian and Maier, Andreas and Prestel, Stefan},
  title         = {{A Positive Resampler for Monte Carlo events with negative weights}},
  eprint        = {2005.09375},
  archiveprefix = {arXiv},
  primaryclass  = {hep-ph},
  reportnumber  = {DCPT/20/30, DESY-20-090, DESY 20-090, IPPP/20/15, LU-TP-20-21, MCNET-20-14, SAGEX-20-12, MCNET-20-14,
                   SAGEX-20-12},
  doi           = {10.1140/epjc/s10052-020-08548-w},
  journal       = {Eur. Phys. J. C},
  volume        = {80},
  number        = {11},
  pages         = {1007},
  year          = {2020}
}

@article{Andersen:2021mvw,
  author        = {Andersen, Jeppe R. and Maier, Andreas},
  title         = {{Unbiased elimination of negative weights in Monte Carlo samples}},
  eprint        = {2109.07851},
  archiveprefix = {arXiv},
  primaryclass  = {hep-ph},
  reportnumber  = {DCPT/21/54, DESY 21-135, IPPP/21/27, MCNET-21-14, SAGEX-21-29},
  doi           = {10.1140/epjc/s10052-022-10372-3},
  journal       = {Eur. Phys. J. C},
  volume        = {82},
  number        = {5},
  pages         = {433},
  year          = {2022}
}

@article{ATLAS:2024_hzz_higgs,
  title         = {Measurement of off-shell Higgs boson production in the $H^*\rightarrow ZZ\rightarrow 4\ell$ decay channel using a neural simulation-based inference technique in 13 TeV $pp$ collisions with the ATLAS detector},
  author        = {ATLAS Collaboration},
  volume={88},
  ISSN={1361-6633},
  url={http://dx.doi.org/10.1088/1361-6633/adcd9a},
  DOI={10.1088/1361-6633/adcd9a},
  number={5},
  journal={Reports on Progress in Physics},
  publisher={IOP Publishing},
  year={2025},
  month=may,
  pages={057803}
}

@misc{ATLAS:2024_swcomp_run3,
  title         = {Software and computing for Run 3 of the ATLAS experiment at the LHC},
  author        = {ATLAS Collaboration},
  year          = {2024},
  eprint        = {2404.06335},
  archiveprefix = {arXiv},
  primaryclass  = {hep-ex},
  url           = {https://arxiv.org/abs/2404.06335}
}

@article{ATLAS:neural_sim_inference,
  doi = {10.1088/1361-6633/add370},
  url = {https://dx.doi.org/10.1088/1361-6633/add370},
  year = {2025},
  month = may,
  publisher = {IOP Publishing},
  volume = {88},
  number = {6},
  pages = {067801},
  author = {The ATLAS Collaboration},
  title = {An implementation of neural simulation-based inference for parameter estimation in ATLAS},
  journal = {Reports on Progress in Physics},
  abstract = {Neural simulation-based inference (NSBI) is a powerful class of machine-learning-based methods for statistical inference that naturally handles high-dimensional parameter estimation without the need to bin data into low-dimensional summary histograms. Such methods are promising for a range of measurements, including at the Large Hadron Collider, where no single observable may be optimal to scan over the entire theoretical phase space under consideration, or where binning data into histograms could result in a loss of sensitivity. This work develops a NSBI framework for statistical inference, using neural networks to estimate probability density ratios, which enables the application to a full-scale analysis. It incorporates a large number of systematic uncertainties, quantifies the uncertainty due to the finite number of events in training samples, develops a method to construct confidence intervals, and demonstrates a series of intermediate diagnostic checks that can be performed to validate the robustness of the method. As an example, the power and feasibility of the method are assessed on simulated data for a simplified version of an off-shell Higgs boson couplings measurement in the four-lepton final states. This approach represents an extension to the standard statistical methodology used by the experiments at the Large Hadron Collider, and can benefit many physics analyses.}
}

@misc{ATLAS:perf_commissioning,
  title         = {Configuration, Performance, and Commissioning of the ATLAS $b$-jet Triggers for the 2022 and 2023 LHC data-taking periods},
  author        = {ATLAS Collaboration},
  year          = {2025},
  eprint        = {2501.11420},
  archiveprefix = {arXiv},
  primaryclass  = {hep-ex},
  url           = {https://arxiv.org/abs/2501.11420}
}

@article{ATLAS:trigger_LS3,
  doi       = {10.1088/1748-0221/19/06/P06029},
  url       = {https://dx.doi.org/10.1088/1748-0221/19/06/P06029},
  year      = {2024},
  month     = jun,
  publisher = {IOP Publishing},
  volume    = {19},
  number    = {06},
  pages     = {P06029},
  author    = {Aad, G. and Aakvaag, E. and Abbott, B. and Abeling, K. and Abicht, N.J. and Abidi, S.H. and Aboulhorma, A. and Abramowicz, H. and Abreu, H. and Abulaiti, Y. and Acharya, B.S. and Adam Bourdarios, C. and Adamczyk, L. and Addepalli, S.V. and Addison, M.J. and Adelman, J. and Adiguzel, A. and Adye, T. and Affolder, A.A. and Afik, Y. and Agaras, M.N. and Agarwala, J. and Aggarwal, A. and Agheorghiesei, C. and Ahmad, A. and Ahmadov, F. and Ahmed, W.S. and Ahuja, S. and Ai, X. and Aielli, G. and Aikot, A. and Ait Tamlihat, M. and Aitbenchikh, B. and Aizenberg, I. and Akbiyik, M. and Åkesson, T.P.A. and Akimov, A.V. and Akiyama, D. and Akolkar, N.N. and Aktas, S. and Al Khoury, K. and Alberghi, G.L. and Albert, J. and Albicocco, P. and Albouy, G.L. and Alderweireldt, S. and Alegria, Z.L. and Aleksa, M. and Aleksandrov, I.N. and Alexa, C. and Alexopoulos, T. and Alfonsi, F. and Algren, M. and Alhroob, M. and Ali, B. and Ali, H.M.J. and Ali, S. and Alibocus, S.W. and Aliev, M. and Alimonti, G. and Alkakhi, W. and Allaire, C. and Allbrooke, B.M.M. and Allen, J.F. and Allendes Flores, C.A. and Allport, P.P. and Aloisio, A. and Alonso, F. and Alpigiani, C. and Alvarez Estevez, M. and Alvarez Fernandez, A. and Alves Cardoso, M. and Alviggi, M.G. and Aly, M. and Amaral Coutinho, Y. and Ambler, A. and Amelung, C. and Amerl, M. and Ames, C.G. and Amidei, D. and Amor Dos Santos, S.P. and Amos, K.R. and Ananiev, V. and Anastopoulos, C. and Andeen, T. and Anders, J.K. and Andrean, S.Y. and Andreazza, A. and Angelidakis, S. and Angerami, A. and Anisenkov, A.V. and Annovi, A. and Antel, C. and Anthony, M.T. and Antipov, E. and Antonelli, M. and Anulli, F. and Aoki, M. and Aoki, T. and Aparisi Pozo, J.A. and Aparo, M.A. and Aperio Bella, L. and Appelt, C. and Apyan, A. and Arbiol Val, S.J. and Arcangeletti, C. and Arce, A.T.H. and Arena, E. and Arguin, J-F. and Argyropoulos, S. and Arling, J.-H. and Arnaez, O. and Arnold, H. and Artoni, G. and Asada, H. and Asai, K. and Asai, S. and Asbah, N.A. and Assamagan, K. and Astalos, R. and Atashi, S. and Atkin, R.J. and Atkinson, M. and Atmani, H. and Atmasiddha, P.A. and Augsten, K. and Auricchio, S. and Auriol, A.D. and Austrup, V.A. and Avolio, G. and Axiotis, K. and Azuelos, G. and Babal, D. and Bachacou, H. and Bachas, K. and Bachiu, A. and Backman, F. and Badea, A. and Baer, T.M. and Bagnaia, P. and Bahmani, M. and Bahner, D. and Bailey, A.J. and Bailey, V.R. and Baines, J.T. and Baines, L. and Baker, O.K. and Bakos, E. and Bakshi Gupta, D. and Balakrishnan, V. and Balasubramanian, R. and Baldin, E.M. and Balek, P. and Ballabene, E. and Balli, F. and Baltes, L.M. and Balunas, W.K. and Balz, J. and Banas, E. and Bandieramonte, M. and Bandyopadhyay, A. and Bansal, S. and Barak, L. and Barakat, M. and Barberio, E.L. and Barberis, D. and Barbero, M. and Barel, M.Z. and Barends, K.N. and Barillari, T. and Barisits, M-S. and Barklow, T. and Baron, P. and Baron Moreno, D.A. and Baroncelli, A. and Barone, G. and Barr, A.J. and Barr, J.D. and Barreiro, F. and Barreiro Guimarães da Costa, J. and Barron, U. and Barros Teixeira, M.G. and Barsov, S. and Bartels, F. and Bartoldus, R. and Barton, A.E. and Bartos, P. and Basan, A. and Baselga, M. and Bassalat, A. and Basso, M.J. and Basson, C.R. and Bates, R.L. and Batlamous, S. and Batley, J.R. and Batool, B. and Battaglia, M. and Battulga, D. and Bauce, M. and Bauer, M. and Bauer, P. and Bazzano Hurrell, L.T. and Beacham, J.B. and Beau, T. and Beaucamp, J.Y. and Beauchemin, P.H. and Bechtle, P. and Beck, H.P. and Becker, K. and Beddall, A.J. and Bednyakov, V.A. and Bee, C.P. and Beemster, L.J. and Beermann, T.A. and Begalli, M. and Begel, M. and Behera, A. and Behr, J.K. and Beirer, J.F. and Beisiegel, F. and Belfkir, M. and Bella, G. and Bellagamba, L. and Bellerive, A. and Bellos, P. and Beloborodov, K. and Benchekroun, D. and Bendebba, F. and Benhammou, Y. and Benkendorfer, K.C. and Beresford, L. and Beretta, M. and Bergeaas Kuutmann, E. and Berger, N. and Bergmann, B. and Beringer, J. and Bernardi, G. and Bernius, C. and Bernlochner, F.U. and Bernon, F. and Berrocal Guardia, A. and Berry, T. and Berta, P. and Berthold, A. and Bertram, I.A. and Bethke, S. and Betti, A. and Bevan, A.J. and Bhalla, N.K. and Bhamjee, M. and Bhatta, S. and Bhattacharya, D.S. and Bhattarai, P. and Bhide, K.D. and Bhopatkar, V.S. and Bianchi, R.M. and Bianco, G. and Biebel, O. and Bielski, R. and Biglietti, M. and Billingsley, C.S. and Bindi, M. and Bingul, A. and Bini, C. and Biondini, A. and Birch-sykes, C.J. and Bird, G.A. and Birman, M. and Biros, M. and Biryukov, S. and Bisanz, T. and Bisceglie, E. and Biswal, J.P. and Biswas, D. and Bjørke, K. and Bloch, I. and Blue, A. and Blumenschein, U. and Blumenthal, J. and Bobrovnikov, V.S. and Boehler, M. and Boehm, B. and Bogavac, D. and Bogdanchikov, A.G. and Bohm, C. and Boisvert, V. and Bokan, P. and Bold, T. and Bomben, M. and Bona, M. and Boonekamp, M. and Booth, C.D. and Borbély, A.G. and Bordulev, I.S. and Borecka-Bielska, H.M. and Borissov, G. and Bortoletto, D. and Boscherini, D. and Bosman, M. and Bossio Sola, J.D. and Bouaouda, K. and Bouchhar, N. and Boudreau, J. and Bouhova-Thacker, E.V. and Boumediene, D. and Bouquet, R. and Boveia, A. and Boyd, J. and Boye, D. and Boyko, I.R. and Bracinik, J. and Brahimi, N. and Brandani, E.D. and Brandt, G. and Brandt, O. and Braren, F. and Brau, B. and Brau, J.E. and Brener, R. and Brenner, L. and Brenner, R. and Bressler, S. and Britton, D. and Britzger, D. and Brock, I. and Brooijmans, G. and Brost, E. and Brown, L.M. and Bruce, L.E. and Bruckler, T.L. and Bruckman de Renstrom, P.A. and Brüers, B. and Bruni, A. and Bruni, G. and Bruschi, M. and Bruscino, N. and Buanes, T. and Buat, Q. and Buchin, D. and Buckley, A.G. and Bulekov, O. and Bullard, B.A. and Burdin, S. and Burgard, C.D. and Burger, A.M. and Burghgrave, B. and Burlayenko, O. and Burr, J.T.P. and Burton, C.D. and Burzynski, J.C. and Busch, E.L. and Büscher, V. and Bussey, P.J. and Butler, J.M. and Buttar, C.M. and Butterworth, J.M. and Buttinger, W. and Buxo Vazquez, C.J. and Buzykaev, A.R. and Cabrera Urbán, S. and Cadamuro, L. and Caforio, D. and Cai, H. and Cai, Y. and Cai, Y. and Cairo, V.M.M. and Cakir, O. and Calace, N. and Calafiura, P. and Calderini, G. and Calfayan, P. and Callea, G. and Caloba, L.P. and Calvet, D. and Calvet, S. and Calvetti, M. and Camacho Toro, R. and Camarda, S. and Camarero Munoz, D. and Camarri, P. and Camerlingo, M.T. and Cameron, D. and Camincher, C. and Campanelli, M. and Camplani, A. and Canale, V. and Cantero, J. and Cao, Y. and Capocasa, F. and Capua, M. and Carbone, A. and Cardarelli, R. and Cardenas, J.C.J. and Cardillo, F. and Carducci, G. and Carli, T. and Carlino, G. and Carlotto, J.I. and Carlson, B.T. and Carlson, E.M. and Carminati, L. and Carnelli, A. and Carnesale, M. and Caron, S. and Carquin, E. and Carrá, S. and Carratta, G. and Carroll, A.M. and Carter, T.M. and Casado, M.P. and Caspar, M. and Castillo, F.L. and Castillo Garcia, L. and Castillo Gimenez, V. and Castro, N.F. and Catinaccio, A. and Catmore, J.R. and Cavaliere, T. and Cavaliere, V. and Cavalli, N. and Cekmecelioglu, Y.C. and Celebi, E. and Cella, S. and Celli, F. and Centonze, M.S. and Cepaitis, V. and Cerny, K. and Cerqueira, A.S. and Cerri, A. and Cerrito, L. and Cerutti, F. and Cervato, B. and Cervelli, A. and Cesarini, G. and Cetin, S.A. and Chakraborty, D. and Chan, J. and Chan, W.Y. and Chapman, J.D. and Chapon, E. and Chargeishvili, B. and Charlton, D.G. and Chatterjee, M. and Chauhan, C. and Che, Y. and Chekanov, S. and Chekulaev, S.V. and Chelkov, G.A. and Chen, A. and Chen, B. and Chen, B. and Chen, H. and Chen, H. and Chen, J. and Chen, J. and Chen, M. and Chen, S. and Chen, S.J. and Chen, X. and Chen, X. and Chen, Y. and Cheng, C.L. and Cheng, H.C. and Cheong, S. and Cheplakov, A. and Cheremushkina, E. and Cherepanova, E. and Cherkaoui El Moursli, R. and Cheu, E. and Cheung, K. and Chevalier, L. 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Vozdecky, L. and Vranjes, N. and Vranjes Milosavljevic, M. and Vreeswijk, M. and Vu, N.K. and Vuillermet, R. and Vujinovic, O. and Vukotic, I. and Wada, S. and Wagner, C. and Wagner, J.M. and Wagner, W. and Wahdan, S. and Wahlberg, H. and Wakida, M. and Walder, J. and Walker, R. and Walkowiak, W. and Wall, A. and Wamorkar, T. and Wang, A.Z. and Wang, C. and Wang, C. and Wang, H. and Wang, J. and Wang, R.-J. and Wang, R. and Wang, R. and Wang, S.M. and Wang, S. and Wang, T. and Wang, W.T. and Wang, W. and Wang, X. and Wang, X. and Wang, X. and Wang, Y. and Wang, Y. and Wang, Z. and Wang, Z. and Wang, Z. and Warburton, A. and Ward, R.J. and Warrack, N. and Waterhouse, S. and Watson, A.T. and Watson, H. and Watson, M.F. and Watton, E. and Watts, G. and Waugh, B.M. and Weber, C. and Weber, H.A. and Weber, M.S. and Weber, S.M. and Wei, C. and Wei, Y. and Weidberg, A.R. and Weik, E.J. and Weingarten, J. and Weirich, M. and Weiser, C. and Wells, C.J. and Wenaus, T. and Wendland, B. and Wengler, T. and Wenke, N.S. and Wermes, N. and Wessels, M. and Wharton, A.M. and White, A.S. and White, A. and White, M.J. and Whiteson, D. and Wickremasinghe, L. and Wiedenmann, W. and Wielers, M. and Wiglesworth, C. and Wilbern, D.J. and Wilkens, H.G. and Williams, D.M. and Williams, H.H. and Williams, S. and Willocq, S. and Wilson, B.J. and Windischhofer, P.J. and Winkel, F.I. and Winklmeier, F. and Winter, B.T. and Winter, J.K. and Wittgen, M. and Wobisch, M. and Wolffs, Z. and Wollrath, J. and Wolter, M.W. and Wolters, H. and Woodward, E.L. and Worm, S.D. and Wosiek, B.K. and Woźniak, K.W. and Wozniewski, S. and Wraight, K. and Wu, C. and Wu, J. and Wu, M. and Wu, M. and Wu, S.L. and Wu, X. and Wu, Y. and Wu, Z. and Wuerzinger, J. and Wyatt, T.R. and Wynne, B.M. and Xella, S. and Xia, L. and Xia, M. and Xiang, J. and Xie, M. and Xie, X. and Xin, S. and Xiong, A. and Xiong, J. and Xu, D. and Xu, H. and Xu, L. and Xu, R. and Xu, T. and Xu, Y. and Xu, Z. and Xu, Z. and Yabsley, B. and Yacoob, S. and Yamaguchi, Y. and Yamashita, E. and Yamashita, T. and Yamauchi, H. and Yamazaki, T. and Yamazaki, Y. and Yan, J. and Yan, S. and Yan, Z. and Yang, H.J. and Yang, H.T. and Yang, S. and Yang, T. and Yang, X. and Yang, X. and Yang, Y. and Yang, Y. and Yang, Z. and Yao, W-M. and Ye, H. and Ye, H. and Ye, J. and Ye, S. and Ye, X. and Yeh, Y. and Yeletskikh, I. and Yeo, B.K. and Yexley, M.R. and Yin, P. and Yorita, K. and Younas, S. and Young, C.J.S. and Young, C. and Yu, C. and Yu, Y. and Yuan, M. and Yuan, R. and Yue, L. and Zaazoua, M. and Zabinski, B. and Zaid, E. and Zak, Z.K. and Zakareishvili, T. and Zakharchuk, N. and Zambito, S. and Zamora Saa, J.A. and Zang, J. and Zanzi, D. and Zaplatilek, O. and Zeitnitz, C. and Zeng, H. and Zeng, J.C. and Zenger Jr, D.T. and Zenin, O. and Ženiš, T. and Zenz, S. and Zerradi, S. and Zerwas, D. and Zhai, M. and Zhang, D.F. and Zhang, J. and Zhang, J. and Zhang, K. and Zhang, L. and Zhang, P. and Zhang, R. and Zhang, S. and Zhang, S. and Zhang, T. and Zhang, X. and Zhang, X. and Zhang, Y. and Zhang, Y. and Zhang, Y. and Zhang, Z. and Zhang, Z. and Zhao, H. and Zhao, T. and Zhao, Y. and Zhao, Z. and Zhemchugov, A. and Zheng, J. and Zheng, K. and Zheng, X. and Zheng, Z. and Zhong, D. and Zhou, B. and Zhou, H. and Zhou, N. and Zhou, Y. and Zhou, Y. and Zhu, C.G. and Zhu, J. and Zhu, Y. and Zhu, Y. and Zhuang, X. and Zhukov, K. and Zimine, N.I. and Zinsser, J. and Ziolkowski, M. and Živković, L. and Zoccoli, A. and Zoch, K. and Zorbas, T.G. and Zormpa, O. and Zou, W. and Zwalinski, L. and The ATLAS collaboration},
  title     = {The ATLAS trigger system for LHC Run 3 and trigger performance in 2022},
  journal   = {Journal of Instrumentation},
  abstract  = {The ATLAS trigger system is a crucial component of the ATLAS experiment at the LHC. It is responsible for selecting events in line with the ATLAS physics programme. This paper presents an overview of the changes to the trigger and data acquisition system during the second long shutdown of the LHC, and shows the performance of the trigger system and its components in the proton-proton collisions during the 2022 commissioning period as well as its expected performance in proton-proton and heavy-ion collisions for the remainder of the third LHC data-taking period (2022–2025).}
}

@article{battistoni_2024_stv3r-7ar12,
  author  = {Battistoni, Giuseppe and
             Boehlen, Till and
             Cerutti, Francesco and
             Chin, Pik Wai and
             Esposito, Luigi Salvatore and
             Fassò, Alberto and
             Ferrari, Alfredo and
             Lechner, Anton and
             Empl, Anton and
             Mairani, Andrea and
             Mereghetti, Alessio and
             Ortega, Pablo Garcia and
             Ranft, Johannes and
             Roesler, Stefan and
             Sala, Paola R. and
             Vlachoudis, Vasilis and
             Smirnov, George},
  title   = {Overview of the FLUKA code},
  journal = {Annals of Nuclear Energy (Oxford)},
  year    = 2024,
  volume  = 82,
  number  = {},
  month   = dec,
  doi     = {10.1016/j.anucene.2014.11.007}
}

@article{Bertone:2019hks,
  author        = {Bertone, V. and Cacciari, M. and Frixione, S. and Stagnitto,
                   G.},
  title         = {{The partonic structure of the electron at the next-to-leading
                   logarithmic accuracy in QED}},
  eprint        = {1911.12040},
  archiveprefix = {arXiv},
  primaryclass  = {hep-ph},
  doi           = {10.1007/JHEP03(2020)135},
  journal       = {JHEP},
  volume        = {03},
  pages         = {135},
  year          = {2020},
  note          = {[Erratum: JHEP 08, 108 (2022)]}
}

@article{Bierlich:2023fmh,
  author        = {Bierlich, Christian and Ilten, Philip and Menzo, Tony and Mrenna, Stephen and Szewc, Manuel and Wilkinson, Michael K. and Youssef, Ahmed and Zupan, Jure},
  title         = {{Reweighting Monte Carlo predictions and automated fragmentation variations in Pythia 8}},
  eprint        = {2308.13459},
  archiveprefix = {arXiv},
  primaryclass  = {hep-ph},
  reportnumber  = {FERMILAB-PUB-23-414-CSAID},
  doi           = {10.21468/SciPostPhys.16.5.134},
  journal       = {SciPost Phys.},
  volume        = {16},
  number        = {5},
  pages         = {134},
  year          = {2024}
}

@article{Bothmann:2023gew,
  author        = {Bothmann, Enrico and Childers, Taylor and Giele, Walter and H\"oche, Stefan and Isaacson, Joshua and Knobbe, Max},
  title         = {{A portable parton-level event generator for the high-luminosity LHC}},
  eprint        = {2311.06198},
  archiveprefix = {arXiv},
  primaryclass  = {hep-ph},
  reportnumber  = {FERMILAB-PUB-23-641-T, MCNET-23-18},
  doi           = {10.21468/SciPostPhys.17.3.081},
  journal       = {SciPost Phys.},
  volume        = {17},
  number        = {3},
  pages         = {081},
  year          = {2024}
}

@article{Buckley2015LHAPDF,
  author   = {Buckley, Andy
              and Ferrando, James
              and Lloyd, Stephen
              and Nordstr{\"o}m, Karl
              and Page, Ben
              and R{\"u}fenacht, Martin
              and Sch{\"o}nherr, Marek
              and Watt, Graeme},
  title    = {LHAPDF6: parton density access in the LHC precision era},
  journal  = {The European Physical Journal C},
  year     = {2015},
  month    = mar,
  day      = {20},
  volume   = {75},
  number   = {3},
  pages    = {132},
  abstract = {The Fortran LHAPDF library has been a long-term workhorse in particle physics, providing standardised access to parton density functions for experimental and phenomenological purposes alike, following on from the venerable PDFLIB package. During Run 1 of the LHC, however, several fundamental limitations in LHAPDF's design have became deeply problematic, restricting the usability of the library for important physics-study procedures and providing dangerous avenues by which to silently obtain incorrect results. In this paper we present the LHAPDF 6 library, a ground-up re-engineering of the PDFLIB/LHAPDF paradigm for PDF access which removes all limits on use of concurrent PDF sets, massively reduces static memory requirements, offers improved CPU performance, and fixes fundamental bugs in multi-set access to PDF metadata. The new design, restricted for now to interpolated PDFs, uses centralised numerical routines and a powerful cascading metadata system to decouple software releases from provision of new PDF data and allow completely general parton content. More than 200 PDF sets have been migrated from LHAPDF 5 to the new universal data format, via a stringent quality control procedure. LHAPDF 6 is supported by many Monte Carlo generators and other physics programs, in some cases via a full set of compatibility routines, and is recommended for the demanding PDF access needs of LHC Run 2 and beyond.},
  issn     = {1434-6052},
  doi      = {10.1140/epjc/s10052-015-3318-8},
  url      = {https://doi.org/10.1140/epjc/s10052-015-3318-8}
}

@article{BUCKLEY2021107310,
  title    = {The HepMC3 event record library for Monte Carlo event generators},
  journal  = {Computer Physics Communications},
  volume   = {260},
  pages    = {107310},
  year     = {2021},
  issn     = {0010-4655},
  doi      = {https://doi.org/10.1016/j.cpc.2020.107310},
  url      = {https://www.sciencedirect.com/science/article/pii/S0010465520301181},
  author   = {Andy Buckley and Philip Ilten and Dmitri Konstantinov and Leif Lönnblad and James Monk and Witold Pokorski and Tomasz Przedzinski and Andrii Verbytskyi},
  keywords = {Event generator, Event record, Monte Carlo, MCEG, Particle physics, Collider experiments},
  abstract = {In high-energy physics, Monte Carlo event generators (MCEGs) are used to simulate the interactions of high energy particles. MCEG event records store the information on the simulated particles and their relationships, and thus reflect the simulated evolution of physics phenomena in each collision event. We present the HepMC3 library, a next-generation framework for MCEG event record encoding and manipulation, which builds on the functionality of its widely-used predecessors to enable more sophisticated algorithms for event-record analysis. As compared to previous versions, the event record structure has been simplified, while adding the possibility to encode arbitrary information. The I/O functionality has been extended to support common input and output formats of various HEP MCEGs, including formats used in Fortran MCEGs, the formats established by the HepMC2 library, and binary formats such as ROOT; custom input or output handlers may also be used. HepMC3 is already supported by popular modern MCEGs and can replace the older HepMC versions in many others.
              Program summary
              Program Title: HepMC3 Program Files doi: http://dx.doi.org/10.17632/6fpf82rp8b.1 Licensing provisions: GPLv3 Programming language: C++ Nature of problem: The simulation of elementary particle reactions at high energies requires to store and/or modify information related to the simulation. Solution method: Provide a library that allows for manipulation and storage of information that origins from in the simulations of elementary particle reactions at high energies and can be interfaced to the modern Monte Carlo event generator software as well as to the particle detector simulation programs.}
}

@article{Butter:2022rso,
  author        = {Badger, Simon and others},
  editor        = {Butter, Anja and Plehn, Tilman and Schumann, Steffen},
  title         = {{Machine learning and LHC event generation}},
  eprint        = {2203.07460},
  archiveprefix = {arXiv},
  primaryclass  = {hep-ph},
  reportnumber  = {FERMILAB-PUB-22-126-T},
  doi           = {10.21468/SciPostPhys.14.4.079},
  journal       = {SciPost Phys.},
  volume        = {14},
  number        = {4},
  pages         = {079},
  year          = {2023}
}

@misc{campbell2024eg,
  title         = {Event Generators for High-Energy Physics Experiments},
  author        = {J. M. Campbell and M. Diefenthaler and T. J. Hobbs and S. Höche and J. Isaacson and F. Kling and S. Mrenna and J. Reuter and S. Alioli and J. R. Andersen and C. Andreopoulos and A. M. Ankowski and E. C. Aschenauer and A. Ashkenazi and M. D. Baker and J. L. Barrow and M. van Beekveld and G. Bewick and S. Bhattacharya and C. Bierlich and E. Bothmann and P. Bredt and A. Broggio and A. Buckley and A. Butter and J. M. Butterworth and E. P. Byrne and C. M. Carloni Calame and S. Chakraborty and X. Chen and M. Chiesa and J. T. Childers and J. Cruz-Martinez and J. Currie and N. Darvishi and M. Dasgupta and A. Denner and F. A. Dreyer and S. Dytman and B. K. El-Menoufi and T. Engel and S. Ferrario Ravasio and D. Figueroa and L. Flower and J. R. Forshaw and R. Frederix and A. Friedland and S. Frixione and H. Gallagher and K. Gallmeister and S. Gardiner and R. Gauld and J. Gaunt and A. Gavardi and T. Gehrmann and A. Gehrmann-De Ridder and L. Gellersen and W. Giele and S. Gieseke and F. Giuli and E. W. N. Glover and M. Grazzini and A. Grohsjean and C. Gütschow and K. Hamilton and T. Han and R. Hatcher and G. Heinrich and I. Helenius and O. Hen and V. Hirschi and M. Höfer and J. Holguin and A. Huss and P. Ilten and S. Jadach and A. Jentsch and S. P. Jones and W. Ju and S. Kallweit and A. Karlberg and T. Katori and M. Kerner and W. Kilian and M. M. Kirchgaeßer and S. Klein and M. Knobbe and C. Krause and F. Krauss and J. Lang and J. -N. Lang and G. Lee and S. W. Li and M. A. Lim and J. M. Lindert and D. Lombardi and L. Lönnblad and M. Löschner and N. Lurkin and Y. Ma and P. Machado and V. Magerya and A. Maier and I. Majer and F. Maltoni and M. Marcoli and G. Marinelli and M. R. Masouminia and P. Mastrolia and O. Mattelaer and J. Mazzitelli and J. McFayden and R. Medves and P. Meinzinger and J. Mo and P. F. Monni and G. Montagna and T. Morgan and U. Mosel and B. Nachman and P. Nadolsky and R. Nagar and Z. Nagy and D. Napoletano and P. Nason and T. Neumann and L. J. Nevay and O. Nicrosini and J. Niehues and K. Niewczas and T. Ohl and G. Ossola and V. Pandey and A. Papadopoulou and A. Papaefstathiou and G. Paz and M. Pellen and G. Pelliccioli and T. Peraro and F. Piccinini and L. Pickering and J. Pires and W. Płaczek and S. Plätzer and T. Plehn and S. Pozzorini and S. Prestel and C. T. Preuss and A. C. Price and S. Quackenbush and E. Re and D. Reichelt and L. Reina and C. Reuschle and P. Richardson and M. Rocco and N. Rocco and M. Roda and A. Rodriguez Garcia and S. Roiser and J. Rojo and L. Rottoli and G. P. Salam and M. Schönherr and S. Schuchmann and S. Schumann and R. Schürmann and L. Scyboz and M. H. Seymour and F. Siegert and A. Signer and G. Singh Chahal and A. Siódmok and T. Sjöstrand and P. Skands and J. M. Smillie and J. T. Sobczyk and D. Soldin and D. E. Soper and A. Soto-Ontoso and G. Soyez and G. Stagnitto and J. Tena-Vidal and O. Tomalak and F. Tramontano and S. Trojanowski and Z. Tu and S. Uccirati and T. Ullrich and Y. Ulrich and M. Utheim and A. Valassi and A. Verbytskyi and R. Verheyen and M. Wagman and D. Walker and B. R. Webber and L. Weinstein and O. White and J. Whitehead and M. Wiesemann and C. Wilkinson and C. Williams and R. Winterhalder and C. Wret and K. Xie and T-Z. Yang and E. Yazgan and G. Zanderighi and S. Zanoli and K. Zapp},
  year          = {2024},
  eprint        = {2203.11110},
  archiveprefix = {arXiv},
  primaryclass  = {hep-ph},
  url           = {https://arxiv.org/abs/2203.11110}
}

@article{CarloniCalame:2003yt,
  author        = {Carloni Calame, C. M. and Montagna, G. and Nicrosini, O.
                   and Piccinini, F.},
  editor        = {Incagli, Marco and Venanzoni, G.},
  title         = {{The BABAYAGA event generator}},
  eprint        = {hep-ph/0312014},
  archiveprefix = {arXiv},
  doi           = {10.1016/j.nuclphysbps.2004.02.008},
  journal       = {Nucl. Phys. B Proc. Suppl.},
  volume        = {131},
  pages         = {48-55},
  year          = {2004}
}

@techreport{CERN-LHCC-2022-005,
  collaboration = {ATLAS},
  title         = {{ATLAS Software and Computing HL-LHC Roadmap}},
  institution   = {CERN},
  reportnumber  = {CERN-LHCC-2022-005, LHCC-G-182},
  address       = {Geneva},
  year          = {2022},
  url           = {https://cds.cern.ch/record/2802918}
}

@online{CERN:computing_school,
  title = {CERN School of Computing},
  url   = {https://csc.web.cern.ch}
}

@online{CERN:SW_workshops,
  title = {CERN OpenLab Software Workshops},
  url   = {https://indico.cern.ch/category/3169/}
}

@article{Chan:2023ume,
  author        = {Chan, Jay and Ju, Xiangyang and Kania, Adam and Nachman, Benjamin and Sangli, Vishnu and Siodmok, Andrzej},
  title         = {{Fitting a deep generative hadronization model}},
  eprint        = {2305.17169},
  archiveprefix = {arXiv},
  primaryclass  = {hep-ph},
  doi           = {10.1007/JHEP09(2023)084},
  journal       = {JHEP},
  volume        = {09},
  pages         = {084},
  year          = {2023}
}
  
@article{Chen_2022,
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  title   = {A FAIR and AI-ready Higgs boson decay dataset},
  journal = {Scientific Data},
  year    = {2022},
  volume  = {9},
  issue   = {1},
  pages   = {31-},
  doi     = {10.1038/s41597-021-01109-0},
  url     = {https://doi.org/10.1038/s41597-021-01109-0}
}

@online{CHEP2024:adept_gpu_em_transport,
  title = {AdePT - Enabling GPU electromagnetic transport with Geant4},
  url   = {https://indi.to/k3jCM}
}
  
@online{CHEP2024:celeritas_improvements,
  title = {Accelerating detector simulations with Celeritas: performance improvements and new capabilities},
  url   = {https://indi.to/JtRK9}
}

@article{CMS-DP-2022-050,
  collaboration = {CMS},
  author        = {{CMS Collaboration}},
  title         = {{Transformer models for heavy flavor jet identification}},
  year          = {2022},
  url           = {https://cds.cern.ch/record/2839920}
}

@article{CMS-DP-2023-079,
  collaboration = {CMS},
  author        = {{CMS Collaboration}},
  title         = {{Anomaly Detection in the CMS Global Trigger Test Crate for Run 3}},
  year          = {2023},
  url           = {https://cds.cern.ch/record/2876546}
}

@article{CMS-DP-2024-086,
  collaboration = {CMS},
  author        = {{CMS Collaboration}},
  title         = {{Quantifying the computational speedup with madgraph4gpu
                   for CMS worflow}},
  year          = {2024},
  url           = {https://cds.cern.ch/record/2914584}
}

@article{CMS:2024jdl,
  author        = {Hayrapetyan, Aram and others},
  collaboration = {CMS},
  title         = {{Reweighting simulated events using machine-learning techniques in the CMS experiment}},
  eprint        = {2411.03023},
  archiveprefix = {arXiv},
  primaryclass  = {hep-ex},
  reportnumber  = {CMS-MLG-24-001, CERN-EP-2024-269},
  month         = {11},
  year          = {2024}
}

@article{CMS:2024lrd,
  author        = {Chekhovsky, Vladimir and others},
  collaboration = {CMS},
  title         = {{High-precision measurement of the W boson mass with the CMS experiment at the LHC}},
  eprint        = {2412.13872},
  archiveprefix = {arXiv},
  primaryclass  = {hep-ex},
  reportnumber  = {CMS-SMP-23-002, CERN-EP-2024-308},
  month         = {12},
  year          = {2024}
}

@online{CMS:computing_results_2023,
  title = {CMS Offline and Computing Public Results},
  url   = {https://twiki.cern.ch/twiki/bin/view/CMSPublic/CMSOfflineComputingResults},
  year  = {2025}
}

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  year      = {2024},
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K. and Menendez, N. and Mitselmakher, G. and Muthirakalayil Madhu, A. and Rawal, N. and Rosenzweig, D. and Rosenzweig, S. and Shi, K. and Wang, J. and Adams, T. and Al Kadhim, A. and Askew, A. and Bower, N. and Habibullah, R. and Hagopian, V. and Hashmi, R. and Kim, R.S. and Kim, S. and Kolberg, T. and Martinez, G. and Prosper, H. and Prova, P.R. and Viazlo, O. and Wulansatiti, M. and Yohay, R. and Zhang, J. and Alsufyani, B. and Baarmand, M.M. and Butalla, S. and Elkafrawy, T. and Hohlmann, M. and Kumar Verma, R. and Rahmani, M. and Yumiceva, F. and Adams, M.R. and Bennett, C. and Cavanaugh, R. and Dittmer, S. and Escobar Franco, R. and Evdokimov, A. and Evdokimov, O. and Gerber, C.E. and Hofman, D.J. and Lee, J.h. and Lemos, D.S. and Merrit, A.H. and Mills, C. and Nanda, S. and Oh, G. and Ozek, B. and Pilipovic, D. and Roy, T. and Rudrabhatla, S. and Tonjes, M.B. and Varelas, N. and Wang, X. and Ye, Z. and Yoo, J. and Alhusseini, M. and Bilki, B. and Blend, D. and Debbins, P. and 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Sorrentino, G. and Rebassoo, F. and Wright, D. and Adams, E. and Baden, A. and Baron, O. and Belloni, A. and Bethani, A. and Chen, Y.m. and Eno, S.C. and Hadley, N.J. and Jabeen, S. and Kellogg, R.G. and Koeth, T. and Lai, Y. and Lascio, S. and Mignerey, A.C. and Nabili, S. and Palmer, C. and Papageorgakis, C. and Paranjpe, M.M. and Wang, L. and Wong, K. and Bendavid, J. and Busza, W. and Cali, I.A. and Chen, Y. and D'Alfonso, M. and Darlea, G.L. and Eysermans, J. and Freer, C. and Gomez-Ceballos, G. and Goncharov, M. and Harris, P. and Hoang, D. and Kovalskyi, D. and Krupa, J. and Lavezzo, L. and Lee, Y.-J. and Long, K. and Mironov, C. and Paus, C. and Rankin, D. and Roland, C. and Roland, G. and Rothman, S. and Shi, Z. and Stephans, G.S.F. and Wang, J. and Wang, Z. and Wyslouch, B. and Yang, T.J. and Crossman, B. and Frahm, E. and Joshi, B.M. and Kapsiak, C. and Krohn, M. and Mahon, D. and Mans, J. and Revering, M. and Rusack, R. and Saradhy, R. and Schroeder, N. and Strobbe, N. and 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Ho, K.W. and Hurtado Anampa, K. and Jessop, C. and Lannon, K. and Lawrence, J. and Loukas, N. and Lutton, L. and Mariano, J. and Marinelli, N. and Mcalister, I. and McCauley, T. and Mcgrady, C. and Mohrman, K. and Moore, C. and Musienko, Y. and Nelson, H. and Osherson, M. and Ruchti, R. and Townsend, A. and Wayne, M. and Yockey, H. and Zarucki, M. and Zygala, L. and Basnet, A. and Bylsma, B. and Carrigan, M. and Durkin, L.S. and Hill, C. and Joyce, M. and Lesauvage, A. and Nunez Ornelas, M. and Wei, K. and Winer, B.L. and Yates, B.R. and Addesa, F.M. and Bouchamaoui, H. and Das, P. and Dezoort, G. and Elmer, P. and Frankenthal, A. and Greenberg, B. and Haubrich, N. and Higginbotham, S. and Kopp, G. and Kwan, S. and Lange, D. and Loeliger, A. and Marlow, D. and Ojalvo, I. and Olsen, J. and Stickland, D. and Tully, C. and Malik, S. and Bakshi, A.S. and Barnes, V.E. and Chandra, S. and Chawla, R. and Das, S. and Gu, A. and Gutay, L. and Jones, M. and Jung, A.W. and Kondratyev, D. and Koshy, A.M. and Liu, M. and Negro, G. and Neumeister, N. and Paspalaki, G. and Piperov, S. and Purohit, A. and Schulte, J.F. and Stojanovic, M. and Thieman, J. and Virdi, A.K. and Wang, F. and Wildridge, A. and Xie, W. and Dolen, J. and Parashar, N. and Pathak, A. and Acosta, D. and Banicz, K. and Baty, A. and Behrens, U. and Carnahan, T. and Dildick, S. and Ecklund, K.M. and Fernández Manteca, P.J. and Freed, S. and Gardner, P. and Geurts, F.J.M. and Kelling, P. and Krawczyk, R. and Kumar, A. and Li, W. and Liu, J.H. and Matveev, M. and Miguel Colin, O. and Nussbaum, T. and Padley, B.P. and Redjimi, R. and Rotter, J. and Yigitbasi, E. and Zhang, Y. and Bodek, A. and de Barbaro, P. and Demina, R. and Dulemba, J.L. and Fallon, C. and Garcia-Bellido, A. and Hindrichs, O. and Khukhunaishvili, A. and Parygin, P. and Popova, E. and Taus, R. and Van Onsem, G.P. and Goulianos, K. and Chiarito, B. and Chou, J.P. and Gershtein, Y. and Halkiadakis, E. and Hart, A. and Heindl, M. and Jaroslawski, D. and Karacheban, O. and Laflotte, I. and Lath, A. and Montalvo, R. and Nash, K. and Routray, H. and Salur, S. and Schnetzer, S. and Somalwar, S. and Stone, R. and Thayil, S.A. and Thomas, S. and Vora, J. and Wang, H. and Acharya, H. and Ally, D. and Delannoy, A.G. and Fiorendi, S. and Holmes, T. and Karunarathna, N. and Lee, L. and Nibigira, E. and Spanier, S. and Aebi, D. and Ahmad, M. and Akhter, T. and Bouhali, O. and Dalchenko, M. and Eusebi, R. and Gilmore, J. and Huang, T. and Kamon, T. and Kim, H. and Luo, S. and Malhotra, S. and Mueller, R. and Overton, D. and Rathjens, D. and Safonov, A. and Akchurin, N. and Damgov, J. and Hegde, V. and Hussain, A. and Kazhykarim, Y. and Lamichhane, K. and Lee, S.W. and Mankel, A. and Mengke, T. and Muthumuni, S. and Peltola, T. and Volobouev, I. and Whitbeck, A. and Appelt, E. and Greene, S. and Gurrola, A. and Johns, W. and Kunnawalkam Elayavalli, R. and Melo, A. and Romeo, F. and Sheldon, P. and Tuo, S. and Velkovska, J. and Viinikainen, J. and Cardwell, B. and Cox, B. and Goadhouse, S. and Hakala, J. and Hirosky, R. and Ledovskoy, A. and Li, A. and Neu, C. and Perez Lara, C.E. and Karchin, P.E. and Aravind, A. and Banerjee, S. and Black, K. and Bose, T. and Dasu, S. and De Bruyn, I. and Everaerts, P. and Galloni, C. and He, H. and Herndon, M. and Herve, A. and Koraka, C.K. and Lanaro, A. and Loveless, R. and Madhusudanan Sreekala, J. and Mallampalli, A. and Mohammadi, A. and Mondal, S. and Parida, G. and Pinna, D. and Savin, A. and Shang, V. and Sharma, V. and Smith, W.H. and Teague, D. and Tsoi, H.F. and Vetens, W. and Warden, A. and Afanasiev, S. and Andreev, V. and Andreev, Yu. and Aushev, T. and Azarkin, M. and Babaev, A. and Belyaev, A. and Blinov, V. and Boos, E. and Borshch, V. and Budkouski, D. and Chadeeva, M. and Chekhovsky, V. and Dermenev, A. and Dimova, T. and Druzhkin, D. and Dubinin, M. and Dudko, L. and Ershov, A. and Gavrilov, G. and Gavrilov, V. and Gninenko, S. and Golovtcov, V. and Golubev, N. and Golutvin, I. and Gorbunov, I. and Gribushin, A. and Ivanov, Y. and Kachanov, V. and Kardapoltsev, L. and Karjavine, V. and Karneyeu, A. and Khein, L. and Kim, V. and Kirakosyan, M. and Kirpichnikov, D. and Kirsanov, M. and Klyukhin, V. and Kodolova, O. and Konstantinov, D. and Korenkov, V. and Kozyrev, A. and Krasnikov, N. and Lanev, A. and Levchenko, P. and Litomin, A. and Lukina, O. and Lychkovskaya, N. and Malakhov, A. and Matveev, V. and Murzin, V. and Nikitenko, A. and Obraztsov, S. and Oreshkin, V. and Oskin, A. and Palichik, V. and Perelygin, V. and Petrushanko, S. and Polikarpov, S. and Popov, V. and Radchenko, O. and Rusinov, V. and Savina, M. and Savrin, V. and Selivanova, D. and Shalaev, V. and Shmatov, S. and Shulha, S. and Skovpen, Y. and Slabospitskii, S. and Smirnov, V. and Sosnov, D. and Sulimov, V. and Tcherniaev, E. and Terkulov, A. and Teryaev, O. and Tlisova, I. and Toropin, A. and Uvarov, L. and Uzunian, A. and Vorobyev, A. and Voytishin, N. and Yuldashev, B.S. and Zarubin, A. and Zhizhin, I. and Zhokin, A. and The CMS collaboration},
  title     = {Development of the CMS detector for the CERN LHC Run 3},
  journal   = {Journal of Instrumentation},
  abstract  = {Since the initial data taking of the CERN LHC, the CMS experiment has undergone substantial upgrades and improvements. This paper discusses the CMS detector as it is configured for the third data-taking period of the CERN LHC, Run 3, which started in 2022. The entire silicon pixel tracking detector was replaced. A new powering system for the superconducting solenoid was installed. The electronics of the hadron calorimeter was upgraded. All the muon electronic systems were upgraded, and new muon detector stations were added, including a gas electron multiplier detector. The precision proton spectrometer was upgraded. The dedicated luminosity detectors and the beam loss monitor were refurbished. Substantial improvements to the trigger, data acquisition, software, and computing systems were also implemented, including a new hybrid CPU/GPU farm for the high-level trigger.}
}

@misc{CMS:enriching_phys_programs,
  title         = {Enriching the physics program of the CMS experiment via data scouting and data parking},
  author        = {CMS Collaboration},
  year          = {2024},
  eprint        = {2403.16134},
  archiveprefix = {arXiv},
  primaryclass  = {hep-ex},
  url           = {https://arxiv.org/abs/2403.16134}
}

@misc{cmswmass,
  title         = {High-precision measurement of the W boson mass with the CMS
                   experiment at the LHC},
  author        = {CMS Collaboration},
  year          = {2024},
  eprint        = {2412.13872},
  archiveprefix = {arXiv},
  primaryclass  = {hep-ex},
  url           = {https://arxiv.org/abs/2412.13872}
}

@online{CODAS-HEP,
  title = {Computational and Data Science for High Energy Physics},
  url   = {https://codas-hep.org}
}

@article{Concas:2024cyu,
  author  = {Concas, Matteo},
  title   = {{A vendor-unlocked ITS GPU reconstruction in ALICE}},
  doi     = {10.1051/epjconf/202429502002},
  journal = {EPJ Web Conf.},
  volume  = {295},
  pages   = {02002},
  year    = {2024}
}

@article{Corcella:2000bw,
  author        = {Corcella, G. and Knowles, I. G. and Marchesini, G. and
                   Moretti, S. and Odagiri, K. and Richardson, P. and Seymour, M. H. and
                   Webber, B. R.},
  title         = {{HERWIG 6: An Event generator for hadron emission reactions
                   with interfering gluons (including supersymmetric processes)}},
  eprint        = {hep-ph/0011363},
  archiveprefix = {arXiv},
  reportnumber  = {CAVENDISH-HEP-99-03, CERN-TH-2000-284, RAL-TR-2000-048},
  doi           = {10.1088/1126-6708/2001/01/010},
  journal       = {JHEP},
  volume        = {01},
  pages         = {010},
  year          = {2001}
}

@article{cwl,
  author     = {Crusoe, Michael R. and Abeln, Sanne and Iosup, Alexandru and Amstutz, Peter and Chilton, John and Tijani\'{c}, Neboj\v{s}a and M\'{e}nager, Herv\'{e} and Soiland-Reyes, Stian and Gavrilovi\'{c}, Bogdan and Goble, Carole and Community, The CWL},
  title      = {Methods included: standardizing computational reuse and portability with the Common Workflow Language},
  year       = {2022},
  issue_date = {June 2022},
  publisher  = {Association for Computing Machinery},
  address    = {New York, NY, USA},
  volume     = {65},
  number     = {6},
  issn       = {0001-0782},
  url        = {https://doi.org/10.1145/3486897},
  doi        = {10.1145/3486897},
  abstract   = {Standardizing computational reuse and portability with the Common Workflow Language.},
  journal    = {Commun. ACM},
  month      = may,
  pages      = {54–63},
  numpages   = {10}
}

@article{Denner:2000bj,
  title    = {Electroweak radiative corrections to e+e-→WW→4 fermions in double-pole approximation — the RacoonWW approach},
  journal  = {Nuclear Physics B},
  volume   = {587},
  number   = {1},
  pages    = {67-117},
  year     = {2000},
  issn     = {0550-3213},
  doi      = {https://doi.org/10.1016/S0550-3213(00)00511-3},
  url      = {https://www.sciencedirect.com/science/article/pii/S0550321300005113},
  author   = {A. Denner and S. Dittmaier and M. Roth and D. Wackeroth},
  keywords = {W-pair production, 4-fermion production, Electroweak radiative corrections, Monte Carlo integration}
}

@article{Duarte:2018ite,
  author        = {Duarte, Javier and others},
  title         = {{Fast inference of deep neural networks in FPGAs for particle physics}},
  eprint        = {1804.06913},
  archiveprefix = {arXiv},
  primaryclass  = {physics.ins-det},
  reportnumber  = {FERMILAB-PUB-18-089-E},
  doi           = {10.1088/1748-0221/13/07/P07027},
  journal       = {JINST},
  volume        = {13},
  number        = {07},
  pages         = {P07027},
  year          = {2018}
}

@article{Duarte:2022job,
  author        = {Duarte, Javier and others},
  title         = {{FAIR AI models in high energy physics}},
  eprint        = {2212.05081},
  archiveprefix = {arXiv},
  primaryclass  = {hep-ex},
  doi           = {10.1088/2632-2153/ad12e3},
  journal       = {Mach. Learn. Sci. Tech.},
  volume        = {4},
  number        = {4},
  pages         = {045062},
  year          = {2023}
}
@report{DUNE_EPPSU,
  author = {DUNE Collaboration},
  title  = {DUNE Software and Computing Research and Development for European Particle Physics Strategy Update},
  year   = {2025},
  url    = {https://docs.dunescience.org/cgi-bin/sso/ShowDocument?docid=33192}
}

@article{ECFAHiggsStudy:2025,
  author = {ECFA},
  editor = {Robson, Aidan and Christos Leonidopoulos, Christos},
  title  = {ECFA Higgs/Electroweak/Top Factory Study},
  year   = 2025
}

@techreport{European:2720131,
  author       = {The European Strategy Group},
  title        = {{Deliberation document on the 2020 Update of the European
                  Strategy for Particle Physics}},
  reportnumber = {CERN-ESU-014},
  address      = {Geneva},
  year         = {2020},
  url          = {https://cds.cern.ch/record/2720131},
  doi          = {10.17181/ESU2020Deliberation}
}

@article{FAIR4AIWorkshop,
  title    = {{FAIR} for {AI}: {An} interdisciplinary and international community building perspective},
  volume   = {10},
  issn     = {2052-4463},
  url      = {https://doi.org/10.1038/s41597-023-02298-6},
  doi      = {10.1038/s41597-023-02298-6},
  abstract = {A foundational set of findable, accessible, interoperable, and reusable (FAIR) principles were proposed in 2016 as prerequisites for proper data management and stewardship, with the goal of enabling the reusability of scholarly data. The principles were also meant to apply to other digital assets, at a high level, and over time, the FAIR guiding principles have been re-interpreted or extended to include the software, tools, algorithms, and workflows that produce data. FAIR principles are now being adapted in the context of AI models and datasets. Here, we present the perspectives, vision, and experiences of researchers from different countries, disciplines, and backgrounds who are leading the definition and adoption of FAIR principles in their communities of practice, and discuss outcomes that may result from pursuing and incentivizing FAIR AI research. The material for this report builds on the FAIR for AI Workshop held at Argonne National Laboratory on June 7, 2022.},
  number   = {1},
  journal  = {Scientific Data},
  author   = {Huerta, E. A. and Blaiszik, Ben and Brinson, L. Catherine and Bouchard, Kristofer E. and Diaz, Daniel and Doglioni, Caterina and Duarte, Javier M. and Emani, Murali and Foster, Ian and Fox, Geoffrey and Harris, Philip and Heinrich, Lukas and Jha, Shantenu and Katz, Daniel S. and Kindratenko, Volodymyr and Kirkpatrick, Christine R. and Lassila-Perini, Kati and Madduri, Ravi K. and Neubauer, Mark S. and Psomopoulos, Fotis E. and Roy, Avik and Rübel, Oliver and Zhao, Zhizhen and Zhu, Ruike},
  month    = jul,
  year     = {2023},
  pages    = {487}
}

@software{fastml_hls4ml,
  author    = {{FastML Team}},
  title     = {fastmachinelearning/hls4ml},
  year      = 2024,
  publisher = {Zenodo},
  version   = {v1.0.0},
  doi       = {10.5281/zenodo.1201549},
  url       = {https://github.com/fastmachinelearning/hls4ml}
}

@software{fastml_team_hls4ml,
  author    = {FastML Team},
  title     = {{HLS4ML}},
  month     = dec,
  year      = 2024,
  publisher = {Zenodo},
  version   = {v1.0.0},
  doi       = {10.5281/zenodo.14344847},
  url       = {https://doi.org/10.5281/zenodo.14344847}
}

@techreport{fatras,
  author        = {Hamilton, S and Kneringer, E and Lukas, W and Ritsch, E
                   and Salzburger, A and Sliwa, K and Todorova, S and Wetter,
                   J and Zimmermann, S},
  collaboration = {fortheATLAScollaboration},
  title         = {{The ATLAS Fast Track Simulation Project}},
  institution   = {CERN},
  reportnumber  = {ATL-SOFT-PROC-2011-038},
  address       = {Geneva},
  year          = {2011},
  url           = {https://cds.cern.ch/record/1341541}
}

@misc{FCCee-Resources,
  title  = {FCC Physics Workshop: Computing resources status and plans},
  year   = 2025,
  author = {Ganis, Gerardo},
  url    = {https://indico.cern.ch/event/1439509/contributions/6289563/}
}

@online{FIRST-HEP,
  title = {Framework for Integrated Research Software Training in High Energy Physics},
  url   = {https://first-hep.org}
}

@article{FLUKA:new_capabiliies,
  author   = {Ahdida, C.  and Bozzato, D.  and Calzolari, D.  and Cerutti, F.  and Charitonidis, N.  and Cimmino, A.  and Coronetti, A.  and D’Alessandro, G. L.  and Donadon Servelle, A.  and Esposito, L. S.  and Froeschl, R.  and García Alía, R.  and Gerbershagen, A.  and Gilardoni, S.  and Horváth, D.  and Hugo, G.  and Infantino, A.  and Kouskoura, V.  and Lechner, A.  and Lefebvre, B.  and Lerner, G.  and Magistris, M.  and Manousos, A.  and Moryc, G.  and Ogallar Ruiz, F.  and Pozzi, F.  and Prelipcean, D.  and Roesler, S.  and Rossi, R.  and Sabaté Gilarte, M.  and Salvat Pujol, F.  and Schoofs, P.  and Stránský, V.  and Theis, C.  and Tsinganis, A.  and Versaci, R.  and Vlachoudis, V.  and Waets, A.  and Widorski, M. },
  title    = {New Capabilities of the FLUKA Multi-Purpose Code},
  journal  = {Frontiers in Physics},
  volume   = {9},
  year     = {2022},
  url      = {https://www.frontiersin.org/journals/physics/articles/10.3389/fphy.2021.788253},
  doi      = {10.3389/fphy.2021.788253},
  issn     = {2296-424X},
  abstract = {<p>FLUKA is a general purpose Monte Carlo code able to describe the transport and interaction of any particle and nucleus type in complex geometries over an energy range extending from thermal neutrons to ultrarelativistic hadron collisions. It has many different applications in accelerator design, detector studies, dosimetry, radiation protection, medical physics, and space research. In 2019, CERN and INFN, as FLUKA copyright holders, together decided to end their formal collaboration framework, allowing them henceforth to pursue different pathways aimed at meeting the evolving requirements of the FLUKA user community, and at ensuring the long term sustainability of the code. To this end, CERN set up the FLUKA.CERN Collaboration<xref ref-type="fn" rid="fn1"><sup>1</sup></xref>. This paper illustrates the physics processes that have been newly released or are currently implemented in the code distributed by the FLUKA.CERN Collaboration<xref ref-type="fn" rid="fn2"><sup>2</sup></xref> under new licensing conditions that are meant to further facilitate access to the code, as well as intercomparisons. The description of coherent effects experienced by high energy hadron beams in crystal devices, relevant to promising beam manipulation techniques, and the charged particle tracking in vacuum regions subject to an electric field, overcoming a former lack, have already been made available to the users. Other features, namely the different kinds of low energy deuteron interactions as well as the synchrotron radiation emission in the course of charged particle transport in vacuum regions subject to magnetic fields, are currently undergoing systematic testing and benchmarking prior to release. FLUKA is widely used to evaluate radiobiological effects, with the powerful support of the Flair graphical interface, whose new generation (Available at <ext-link ext-link-type="uri" xlink:href="http://flair.cern" xmlns:xlink="http://www.w3.org/1999/xlink">http://flair.cern</ext-link>) offers now additional capabilities, e.g., advanced 3D visualization with photorealistic rendering and support for industry-standard volume visualization of medical phantoms. FLUKA has also been playing an extensive role in the characterization of radiation environments in which electronics operate. In parallel, it has been used to evaluate the response of electronics to a variety of conditions not included in radiation testing guidelines and standards for space and accelerators, and not accessible through conventional ground level testing. Instructive results have been obtained from Single Event Effects (SEE) simulations and benchmarks, when possible, for various radiation types and energies. The code has reached a high level of maturity, from which the FLUKA.CERN Collaboration is planning a substantial evolution of its present architecture. Moving towards a modern programming language allows to overcome fundamental constraints that limited development options. Our long term goal, in addition to improving and extending its physics performances with even more rigorous scientific oversight, is to modernize its structure to integrate independent contributions more easily and to formalize quality assurance through state-of-the-art software deployment techniques. This includes a continuous integration pipeline to automatically validate the codebase as well as automatic processing and analysis of a tailored physics-case test suite. With regard to the aforementioned objectives, several paths are currently envisaged, like finding synergies with Geant4, both at the core structure and interface level, this way offering the user the possibility to run with the same input different Monte Carlo codes and crosscheck the results.</p>}
}

@article{Forshaw:2021mtj,
  author        = {Forshaw, Jeffrey R. and Holguin, Jack and Pl\"atzer, Simon},
  title         = {{Rings and strings: a basis for understanding subleading colour and QCD coherence beyond the two-jet limit}},
  eprint        = {2112.13124},
  archiveprefix = {arXiv},
  primaryclass  = {hep-ph},
  doi           = {10.1007/JHEP05(2022)190},
  journal       = {JHEP},
  volume        = {05},
  pages         = {190},
  year          = {2022}
}

@article{Frederix:2020trv,
  author        = {Frederix, R. and Frixione, S. and Prestel, S. and Torrielli, P.},
  title         = {{On the reduction of negative weights in MC@NLO-type matching procedures}},
  eprint        = {2002.12716},
  archiveprefix = {arXiv},
  primaryclass  = {hep-ph},
  reportnumber  = {LU-TP 20-09, MCNET-20-08},
  doi           = {10.1007/JHEP07(2020)238},
  journal       = {JHEP},
  volume        = {07},
  pages         = {238},
  year          = {2020}
}

@article{Frixione:2019lga,
  author        = {Frixione, Stefano},
  title         = {{Initial conditions for electron and photon structure and
                   fragmentation functions}},
  eprint        = {1909.03886},
  archiveprefix = {arXiv},
  primaryclass  = {hep-ph},
  doi           = {10.1007/JHEP11(2019)158},
  journal       = {JHEP},
  volume        = {11},
  pages         = {158},
  year          = {2019}
}

@article{Frixione:2021zdp,
  author        = {Frixione, Stefano and Mattelaer, Olivier and Zaro, Marco and Zhao, Xiaoran},
  title         = {{Lepton collisions in MadGraph5\_aMC@NLO}},
  eprint        = {2108.10261},
  archiveprefix = {arXiv},
  primaryclass  = {hep-ph},
  reportnumber  = {MCNET-21-13,CP3-21-50},
  month         = {8},
  year          = {2021}
}

@inproceedings{Frixione:2022ofv,
  author        = {Frixione, S. and others},
  title         = {{Initial state QED radiation aspects for future $e^+e^-$ colliders}},
  booktitle     = {{Snowmass 2021}},
  eprint        = {2203.12557},
  archiveprefix = {arXiv},
  primaryclass  = {hep-ph},
  reportnumber  = {FERMILAB-PUB-22-129-T},
  month         = {3},
  year          = {2022}
}

@misc{g4inputs,
  title = {Geant4 Input to the EPPSU},
  year  = 2024,
  url   = {https://indico.cern.ch/event/1475445/}
}

@article{Ganis2022,
  author  = {Ganis, Gerardo and Helsens, Cl{\'e}ment and V{\"o}lkl, Valentin},
  title   = {Key4hep, a framework for future HEP experiments and its use in FCC},
  journal = {The European Physical Journal Plus},
  year    = {2022},
  month   = jan,
  day     = {21},
  volume  = {137},
  number  = {1},
  pages   = {149},
  issn    = {2190-5444},
  doi     = {10.1140/epjp/s13360-021-02213-1},
  url     = {https://doi.org/10.1140/epjp/s13360-021-02213-1}
}

@misc{gardiner2024nuhepmc,
  title         = {NuHepMC: A standardized event record format for neutrino event generators},
  author        = {S. Gardiner and J. Isaacson and L. Pickering},
  year          = {2024},
  eprint        = {2310.11},
  archiveprefix = {arXiv},
  primaryclass  = {hep-ph},
  url           = {https://arxiv.org/abs/2310.13211}
}

@online{garfield++,
  title = {Garfield++ toolkit},
  url   = {https://garfieldpp.web.cern.ch/garfieldpp/}
}

@article{GEANT4:2002zbu,
  author        = {Agostinelli, S. and others},
  collaboration = {GEANT4},
  title         = {{GEANT4 - A Simulation Toolkit}},
  reportnumber  = {SLAC-PUB-9350, FERMILAB-PUB-03-339, CERN-IT-2002-003},
  doi           = {10.1016/S0168-9002(03)01368-8},
  journal       = {Nucl. Instrum. Meth. A},
  volume        = {506},
  pages         = {250--303},
  year          = {2003}
}

@article{Ghosh:2022zdz,
  author        = {Ghosh, Aishik and Ju, Xiangyang and Nachman, Benjamin and Siodmok, Andrzej},
  title         = {{Towards a deep learning model for hadronization}},
  eprint        = {2203.12660},
  archiveprefix = {arXiv},
  primaryclass  = {hep-ph},
  doi           = {10.1103/PhysRevD.106.096020},
  journal       = {Phys. Rev. D},
  volume        = {106},
  number        = {9},
  pages         = {096020},
  year          = {2022}
}

@article{Hageboeck:2020dyv,
  author        = {Hageboeck, Stephan},
  title         = {{What the new RooFit can do for your analysis}},
  eprint        = {2012.02746},
  archiveprefix = {arXiv},
  primaryclass  = {physics.data-an},
  doi           = {10.22323/1.390.0910},
  journal       = {PoS},
  volume        = {ICHEP2020},
  pages         = {910},
  year          = {2021}
}

@article{Hageboeck:2023blb,
  author        = {Hageboeck, Stephan and Childers, Taylor and Hopkins, Walter and Mattelaer, Olivier and Nichols, Nathan and Roiser, Stefan and Teig, J\o{}rgen and Valassi, Andrea and Vuosalo, Carl and Wettersten, Zenny},
  title         = {{Madgraph5\_aMC@NLO on GPUs and vector CPUs Experience with the first alpha release}},
  eprint        = {2312.02898},
  archiveprefix = {arXiv},
  primaryclass  = {physics.comp-ph},
  doi           = {10.1051/epjconf/202429511013},
  journal       = {EPJ Web Conf.},
  volume        = {295},
  pages         = {11013},
  year          = {2024}
}

@article{Held:2022RC,
  author  = {Held, Alexander  and  Shadura, Oksana},
  title   = {{The IRIS-HEP Analysis Grand Challenge}},
  doi     = {10.22323/1.414.0235},
  journal = {PoS},
  year    = 2022,
  volume  = {ICHEP2022},
  pages   = {235}
}

@misc{HS3github,
  title  = {HS3 - HEP Statistics Serialization Standard},
  author = {{The HS3 Committee}},
  url    = {https://github.com/hep-statistics-serialization-standard/hep-statistics-serialization-standard}
}

@misc{HSF-CWP-2017-02,
  title         = {HEP Software Foundation Community White Paper Working Group - Training, Staffing and Careers},
  author        = {HEP Software Foundation and : and Dario Berzano and Riccardo Maria Bianchi and Peter Elmer and Sergei V. Gleyzer John Harvey and Roger Jones and Michel Jouvin and Daniel S. Katz and Sudhir Malik and Dario Menasce and Mark Neubauer and Fernanda Psihas and Albert Puig Navarro and Graeme A. Stewart and Christopher Tunnell and Justin A. Vasel and Sean-Jiun Wang},
  year          = {2019},
  eprint        = {1807.02875},
  archiveprefix = {arXiv},
  primaryclass  = {physics.ed-ph},
  url           = {https://arxiv.org/abs/1807.02875}
}

@article{hsfcwp,
  author  = {HEP Software Foundation},
  title   = {A Roadmap for HEP Software and Computing R\&D for the 2020s},
  journal = {Computing and Software for Big Science},
  year    = {2019},
  month   = {3},
  day     = {20},
  volume  = {3},
  number  = {1},
  issn    = {2510-2044},
  doi     = {10.1007/s41781-018-0018-8},
  url     = {https://doi.org/10.1007/s41781-018-0018-8}
}

@article{HSFPhysicsEventGeneratorWG:2020gxw,
  title     = {Challenges in Monte Carlo Event Generator Software for High-Luminosity LHC},
  volume    = {5},
  issn      = {2510-2044},
  url       = {http://dx.doi.org/10.1007/s41781-021-00055-1},
  doi       = {10.1007/s41781-021-00055-1},
  number    = {1},
  journal   = {Computing and Software for Big Science},
  publisher = {Springer Science and Business Media LLC},
  author    = {Valassi, Andrea and Yazgan, Efe and McFayden, Josh and Amoroso, Simone and Bendavid, Joshua and Buckley, Andy and Cacciari, Matteo and Childers, Taylor and Ciulli, Vitaliano and Frederix, Rikkert and Frixione, Stefano and Giuli, Francesco and Grohsjean, Alexander and Gütschow, Christian and Höche, Stefan and Hopkins, Walter and Ilten, Philip and Konstantinov, Dmitri and Krauss, Frank and Li, Qiang and Lönnblad, Leif and Maltoni, Fabio and Mangano, Michelangelo and Marshall, Zach and Mattelaer, Olivier and Fernandez Menendez, Javier and Mrenna, Stephen and Muralidharan, Servesh and Neumann, Tobias and Plätzer, Simon and Prestel, Stefan and Roiser, Stefan and Schönherr, Marek and Schulz, Holger and Schulz, Markus and Sexton-Kennedy, Elizabeth and Siegert, Frank and Siódmok, Andrzej and Stewart, Graeme A.},
  year      = {2021}
}

@online{HSFPyHEP,
  title = {HSF PyHEP - Python in HEP},
  url   = {https://hepsoftwarefoundation.org/activities/pyhep.html}
}

@online{HSFTraining,
  title = {HSF Training Activity},
  url   = {https://hepsoftwarefoundation.org/activities/training.html}
}

@online{HSFTrainingCenter,
  title = {HSF Training Center},
  url   = {https://hsf-training.org/training-center/}
}

@article{Ilten:2022jfm,
  author        = {Ilten, Phil and Menzo, Tony and Youssef, Ahmed and Zupan, Jure},
  title         = {{Modeling hadronization using machine learning}},
  eprint        = {2203.04983},
  archiveprefix = {arXiv},
  primaryclass  = {hep-ph},
  doi           = {10.21468/SciPostPhys.14.3.027},
  journal       = {SciPost Phys.},
  volume        = {14},
  number        = {3},
  pages         = {027},
  year          = {2023}
}

@online{INFN:ESC_school,
  title = {INFN Efficient Scientific Computing School},
  url   = {https://esc.infn.it}
}

@online{IRISHEP:Training,
  title = {IRIS-HEP Training, Education and Outreach},
  url   = {https://iris-hep.org/ssc.html}
}
@article{Jadach:1991by,
  author       = {Jadach, S. and Richter-Was, E. and Ward, B. F. L. and Was,
                  Z.},
  title        = {{Monte Carlo program BHLUMI-2.01 for Bhabha scattering at
                  low angles with Yennie-Frautschi-Suura exponentiation}},
  reportnumber = {CERN-TH-6230-91},
  doi          = {10.1016/0010-4655(92)90196-6},
  journal      = {Comput. Phys. Commun.},
  volume       = {70},
  pages        = {305-344},
  year         = {1992}
}

@article{Jadach:1999vf,
  author        = {Jadach, S. and Ward, B. F. L. and Was, Z.},
  title         = {{The Precision Monte Carlo event generator KK for two fermion
                   final states in e+e- collisions}},
  eprint        = {hep-ph/9912214},
  archiveprefix = {arXiv},
  reportnumber  = {DESY-99-106, CERN-TH-99-235, UTHEP-99-08-01},
  doi           = {10.1016/S0010-4655(00)00048-5},
  journal       = {Comput. Phys. Commun.},
  volume        = {130},
  pages         = {260-\/-325},
  year          = {2000}
}


@article{Jadach:2022mbe,
  author        = {Jadach, S. and Ward, B. F. L. and Wa̧s, Z. and Yost, S. A. and
                   Siodmok, A.},
  title         = {{Multi-photon Monte Carlo event generator KKMCee for lepton
                   and quark pair production in lepton colliders}},
  eprint        = {2204.11949},
  archiveprefix = {arXiv},
  primaryclass  = {hep-ph},
  reportnumber  = {IFJPAN-IV-2022-6, BU-HEPP-22-02, MCnet-22},
  doi           = {10.1016/j.cpc.2022.108556},
  journal       = {Comput. Phys. Commun.},
  volume        = {283},
  pages         = {108556},
  year          = {2023}
}

@article{Kilian:2007gr,
  author        = {Kilian, Wolfgang and Ohl, Thorsten and Reuter, Jurgen},
  title         = {{WHIZARD: Simulating Multi-Particle Processes at LHC and
                   ILC}},
  eprint        = {0708.4233},
  archiveprefix = {arXiv},
  primaryclass  = {hep-ph},
  reportnumber  = {DESY-11-126, EDINBURGH-2010-36, FR-PHENO-2010-037,
                   SI-HEP-2010-18},
  doi           = {10.1140/epjc/s10052-011-1742-y},
  journal       = {Eur. Phys. J. C},
  volume        = {71},
  pages         = {1742},
  year          = {2011}
}

@misc{kim2021innmethodidentifyingcleanannotated,
  title         = {INN: A Method Identifying Clean-annotated Samples via
                   Consistency Effect in Deep Neural Networks},
  author        = {Dongha Kim and Yongchan Choi and Kunwoong Kim and Yongdai
                   Kim},
  year          = {2021},
  eprint        = {2106.15185},
  archiveprefix = {arXiv},
  primaryclass  = {cs.LG},
  url           = {https://arxiv.org/abs/2106.15185}
}

@article{Krauss:2022ajk,
  author        = {Krauss, Frank and Price, Alan and Schönherr,
                   Marek},
  title         = {{YFS Resummation for Future Lepton-Lepton Colliders in
                   SHERPA}},
  eprint        = {2203.10948},
  archiveprefix = {arXiv},
  primaryclass  = {hep-ph},
  reportnumber  = {IPPP/22/13,MCnet-21-13},
  doi           = {10.21468/SciPostPhys.13.2.026},
  journal       = {SciPost Phys.},
  volume        = {13},
  number        = {2},
  pages         = {026},
  year          = {2022}
}
@article{LHCb:GPU_GNN,
  doi       = {10.1088/1748-0221/19/12/P12022},
  url       = {https://dx.doi.org/10.1088/1748-0221/19/12/P12022},
  year      = {2024},
  month     = {dec},
  publisher = {IOP Publishing},
  volume    = {19},
  number    = {12},
  pages     = {P12022},
  author    = {Correia, Anthony and Giasemis, Fotis I. and Garroum, Nabil
               and Gligorov, Vladimir Vava and Granado, Bertrand},
  title     = {Graph Neural Network-based track finding in the LHCb vertex
               detector},
  journal   = {Journal of Instrumentation}
}

@article{LHCb:HLT,
  author        = {Aaij, R. and others},
  collaboration = {LHCb},
  title         = {{A Comparison of CPU and GPU Implementations for the LHCb
                   Experiment Run 3 Trigger}},
  eprint        = {2105.04031},
  archiveprefix = {arXiv},
  primaryclass  = {physics.ins-det},
  reportnumber  = {LHCb-DP-2021-003},
  doi           = {10.1007/s41781-021-00070-2},
  journal       = {Comput. Softw. Big Sci.},
  volume        = {6},
  number        = {1},
  pages         = {1},
  year          = {2022}
}

@article{LHCb:Lipschitz,
  author        = {O. Kitouni, N. Nolte and M. Williams},
  collaboration = {LHCb},
  title         = {{Robust and provably monotonic networks}},
  eprint        = {2112.00038},
  archiveprefix = {arXiv},
  primaryclass  = {physics.ins-det},
  doi           = {10.1088/2632-2153/aced80},
  journal       = {Machine Learning: Science and Technology},
  volume        = {4},
  number        = {3},
  pages         = {15},
  year          = {2023}
}

@article{LHCb:RTDP,
  doi       = {10.1088/1748-0221/14/04/P04006},
  url       = {https://dx.doi.org/10.1088/1748-0221/14/04/P04006},
  year      = {2019},
  month     = apr,
  publisher = {},
  volume    = {14},
  number    = {04},
  pages     = {P04006},
  author    = {Aaij, R. and Benson, S. and Cian, M. De and Dziurda, A. and Fitzpatrick, C. and Govorkova, E. and Lupton, O. and Matev, R. and Neubert, S. and Pearce, A. and Schreiner, H. and Stahl, S. and Vesterinen, M.},
  title     = {A comprehensive real-time analysis model at the LHCb experiment},
  journal   = {Journal of Instrumentation},
  abstract  = {An evolved real-time data processing strategy is proposed   for high-energy physics experiments, and its implementation at the   LHCb experiment is presented.  The reduced event model allows not   only the signal candidate firing the trigger to be persisted, as   previously available, but also an arbitrary set of other   reconstructed or raw objects from the event.  This allows for higher   trigger rates for a given output data bandwidth, when compared to   the traditional model of saving the full raw detector data for each   trigger, whilst accommodating inclusive triggers and preserving data   mining capabilities.  The gains in physics reach and savings in   computing resources already made possible by the model are   discussed, along with the prospects of employing it more widely for   Run 3 of the Large Hadron Collider.}
}

@article{luigilaw,
  title     = {End-to-End Analysis Automation over Distributed Resources with Luigi Analysis Workflows},
  volume    = {295},
  issn      = {2100-014X},
  url       = {http://dx.doi.org/10.1051/epjconf/202429505012},
  doi       = {10.1051/epjconf/202429505012},
  journal   = {EPJ Web of Conferences},
  publisher = {EDP Sciences},
  author    = {Rieger, Marcel},
  editor    = {De Vita, R. and Espinal, X. and Laycock, P. and Shadura, O.},
  year      = {2024},
  pages     = {05012}
}

@article{Maguire_2017,
  doi       = {10.1088/1742-6596/898/10/102006},
  url       = {https://dx.doi.org/10.1088/1742-6596/898/10/102006},
  year      = {2017},
  month     = oct,
  publisher = {IOP Publishing},
  volume    = {898},
  number    = {10},
  pages     = {102006},
  author    = {Maguire, Eamonn and Heinrich, Lukas and Watt, Graeme},
  title     = {HEPData: a repository for high energy physics data},
  journal   = {Journal of Physics: Conference Series},
  abstract  = {The Durham High Energy Physics Database (HEPData) has been built up over the past four decades as a unique open-access repository for scattering data from experimental particle physics papers. It comprises data points underlying several thousand publications. Over the last two years, the HEPData software has been completely rewritten using modern computing technologies as an overlay on the Invenio v3 digital library framework. The software is open source with the new site available at https://hepdata.net now replacing the previous site at http://hepdata.cedar.ac.uk. In this write-up, we describe the development of the new site and explain some of the advantages it offers over the previous platform.}
}

@article{Malik:2919564,
  author  = {Malik, Sudhir and Lieret, Kilian and Elmer, Peter and
             Hernandez Villanueva, Michel and Roiser, Stefan},
  title   = {{Train to Sustain}},
  journal = {EPJ Web Conf.},
  volume  = {295},
  pages   = {05023},
  year    = {2024},
  url     = {https://cds.cern.ch/record/2919564},
  doi     = {10.1051/epjconf/202429505023}
}

@article{Malik:chep2023_training_outreach,
  author  = {{Malik, Sudhir} and {Cordero, Danelix} and {Elmer, Peter} and {LaMee, Adam} and {Cecire, Ken}},
  title   = {Software Training Outreach In HEP},
  doi     = {10.1051/epjconf/202429508018},
  url     = {https://doi.org/10.1051/epjconf/202429508018},
  journal = {EPJ Web of Conf.},
  year    = 2024,
  volume  = 295,
  pages   = {08018}
}

@article{Malik2021Software,
  author  = {Malik, Sudhir  and  Meehan, Samuel  and  Lieret, Kilian  and  Oan Evans, Meirin  and  Villanueva, Michel H.  and  Katz, Daniel S.  and  Stewart, Graeme A.  and  Elmer, Peter  and  Aziz, Sizar  and  Bellis, Matthew  and  Bianchi, Riccardo Maria  and  Bianco, Gianluca  and  Bonilla, Johan Sebastian  and  Burger, Angela  and  Burzynski, Jackson  and  Chamont, David  and  Feickert, Matthew  and  Gadow, Philipp  and  Gruber, Bernhard Manfred  and  Guest, Daniel  and  Hageboeck, Stephan  and  Heinrich, Lukas  and  Horzela, Maximilian M.  and  Huwiler, Marc  and  Lange, Clemens  and  Lehmann, Konstantin  and  Li, Ke  and  Majumder, Devdatta  and  Mamužić, Judita  and  Nelson, Kevin  and  Newhouse, Robin  and  Nibigira, Emery  and  Norberg, Scarlet  and  Pineda, Arturo Sánchez  and  Proffitt, Mason  and  Regnery, Brendan  and  Roepe, Amber  and  Roiser, Stefan  and  Schreiner, Henry  and  Shadura, Oksana  and  Stark, Giordon  and  Swatman, Stephen Nicholas  and  Thais, Savannah  and  Valassi, Andrea  and  Wunsch, Stefan  and  Yakobovitch, David  and  Yuan, Siqi},
  title   = {Software Training in HEP},
  journal = {Computing and Software for Big Science},
  year    = {2021},
  volume  = {5},
  issue   = {1},
  pages   = {22-},
  doi     = {10.1007/s41781-021-00069-9},
  url     = {https://doi.org/10.1007/s41781-021-00069-9}
}

@misc{maltoni2022tf07snowmassreporttheory,
  title         = {TF07 Snowmass Report: Theory of Collider Phenomena},
  author        = {Fabio Maltoni and Shufang Su and Jesse Thaler},
  year          = {2022},
  eprint        = {2210.02591},
  archiveprefix = {arXiv},
  primaryclass  = {hep-ph},
  url           = {https://arxiv.org/abs/2210.02591}
}

@inproceedings{MathesP3MA2017,
  author        = {{Matthes}, A. and {Widera}, R. and {Zenker}, E. and
                   {Worpitz}, B. and
                   {Huebl}, A. and {Bussmann}, M.},
  title         = {Tuning and optimization for a variety of many-core
                   architectures without changing a single line of implementation code
                   using the Alpaka library},
  archiveprefix = {arXiv},
  eprint        = {1706.10086},
  keywords      = {Computer Science - Distributed, Parallel, and Cluster
                   Computing},
  day           = {30},
  month         = jun,
  year          = {2017},
  url           = {https://arxiv.org/abs/1706.10086}
}

@inproceedings{matthew_rocklin-proc-scipy-2015,
  author    = { {M}atthew {R}ocklin },
  title     = { {D}ask: {P}arallel {C}omputation with {B}locked algorithms and {T}ask {S}cheduling },
  booktitle = { {P}roceedings of the 14th {P}ython in {S}cience {C}onference },
  pages     = { 126 - 132 },
  year      = { 2015 },
  editor    = { {K}athryn {H}uff and {J}ames {B}ergstra },
  doi       = { 10.25080/Majora-7b98e3ed-013 }
}

@article{Moodie:2022flt,
  author        = {Moodie, Ryan},
  title         = {{Optimising hadronic collider simulations using amplitude neural networks}},
  eprint        = {2202.04506},
  archiveprefix = {arXiv},
  primaryclass  = {hep-ph},
  reportnumber  = {IPPP/22/03},
  doi           = {10.1088/1742-6596/2438/1/012149},
  journal       = {J. Phys. Conf. Ser.},
  volume        = {2438},
  number        = {1},
  pages         = {012149},
  year          = {2023}
}

@online{neuralmodelHLT1LHCb,
  author = {Arantza de Oyanguren Campos and Brij Kishor Jashal and
            Volodymyr Svintozelskyi and Valerii Kholoimov and Jiahui Zhuo},
  title  = {A Streamlined Neural Model for Real-Time Analysis at the First
            Level of the LHCb Trigger},
  year   = {2024},
  url    = {https://indico.cern.ch/event/1338689/contributions/6015440/}
}
@article{Ohl:1996fi,
  author        = {Ohl, Thorsten},
  title         = {{CIRCE version 1.0: Beam spectra for simulating linear
                   collider physics}},
  eprint        = {hep-ph/9607454},
  archiveprefix = {arXiv},
  reportnumber  = {IKDA-96-13},
  doi           = {10.1016/S0010-4655(96)00167-1},
  journal       = {Comput. Phys. Commun.},
  volume        = {101},
  pages         = {269-288},
  year          = {1997}
}

@article{Olsson:2019wvr,
  author        = {Olsson, Jimmy and Pl\"atzer, Simon and Sj\"odahl, Malin},
  title         = {{Resampling Algorithms for High Energy Physics Simulations}},
  eprint        = {1912.02436},
  archiveprefix = {arXiv},
  primaryclass  = {hep-ph},
  reportnumber  = {LU-TP 19-54, UWTHPH-2019-12, MCnet-19-25},
  doi           = {10.1140/epjc/s10052-020-08500-y},
  journal       = {Eur. Phys. J. C},
  volume        = {80},
  number        = {10},
  pages         = {934},
  year          = {2020}
}

@article{opticksCHEP,
  author  = {{Blyth, Simon}},
  title   = {Meeting the challenge of JUNO simulation with Opticks: GPU
             optical photon acceleration via NVIDIA® OptiXTM},
  doi     = {10.1051/epjconf/202024511003},
  url     = {https://doi.org/10.1051/epjconf/202024511003},
  journal = {EPJ Web Conf.},
  year    = 2020,
  volume  = 245,
  pages   = {11003}
}

@conference{osti_2361202,
  author       = {Johnson, Seth R. and Castro Tognini, Stefano and Evans, Thomas and Biondo, Elliott and Canal, Philippe and Esseiva, Julien and Yung jun, Soon and Lund, Amanda and Romano, Paul},
  title        = {Celeritas: Accelerating Geant4 with GPUs},
  annote       = {Celeritas [1] is a new Monte Carlo (MC) detector simulation code designed for computationally intensive applications (specifically, High Lumi- nosity Large Hadron Collider (HL-LHC) simulation) on high-performance heterogeneous architectures. In the past two years Celeritas has advanced from prototyping a GPU-based single physics model in infinite medium to implementing a full set of electromagnetic (EM) physics processes in complex geometries. The current release of Celeritas, version 0.3, has incorporated full device-based navigation, an event loop in the presence of magnetic fields, and detector hit scoring. New functionality incorporates a scheduler to offload electromagnetic physics to the GPU within a Geant4-driven simulation, enabling integration of Celeritas into high energy physics (HEP) experimental frameworks such as CMSSW. On the Summit supercomputer, Celeritas performs EM physics between 6 and 32 faster using the machine’s Nvidia GPUs compared to using only CPUs. When running a multithreaded Geant4 ATLAS test beam application with full hadronic physics, using Celeritas to accelerate the EM physics results in an overall simulation speedup of 1.8–2.3× on GPU and 1.2× on CPU.},
  doi          = {10.1051/epjconf/202429511005},
  url          = {https://www.osti.gov/biblio/2361202},
  issn         = {ISSN 2100-014X},
  volume       = {295},
  place        = {United States},
  organization = {Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)},
  year         = {2024},
  month        = {05}
}

@article{PhysRevD.105.096006,
  title     = {Novel event generator for the automated simulation of neutrino scattering},
  author    = {Isaacson, Joshua and H\"oche, Stefan and Lopez Gutierrez, Diego and Rocco, Noemi},
  journal   = {Phys. Rev. D},
  volume    = {105},
  issue     = {9},
  pages     = {096006},
  numpages  = {11},
  year      = {2022},
  month     = May,
  publisher = {American Physical Society},
  doi       = {10.1103/PhysRevD.105.096006},
  url       = {https://link.aps.org/doi/10.1103/PhysRevD.105.096006}
}

@article{Pivarski_2020,
  title     = {Awkward Arrays in Python, C++, and Numba},
  volume    = {245},
  issn      = {2100-014X},
  url       = {http://dx.doi.org/10.1051/epjconf/202024505023},
  doi       = {10.1051/epjconf/202024505023},
  journal   = {EPJ Web of Conferences},
  publisher = {EDP Sciences},
  author    = {Pivarski, Jim and Elmer, Peter and Lange, David},
  editor    = {Doglioni, C. and Kim, D. and Stewart, G.A. and Silvestris, L. and Jackson, P. and Kamleh, W.},
  year      = {2020},
  pages     = {05023}
}

@article{Qu_2020,
  title     = {Jet tagging via particle clouds},
  volume    = {101},
  issn      = {2470-0029},
  url       = {http://dx.doi.org/10.1103/PhysRevD.101.056019},
  doi       = {10.1103/physrevd.101.056019},
  number    = {5},
  journal   = {Physical Review D},
  publisher = {American Physical Society (APS)},
  author    = {Qu, Huilin and Gouskos, Loukas},
  year      = {2020},
  month     = mar
}

@misc{qu2024particletransformerjettagging,
  title         = {Particle Transformer for Jet Tagging},
  author        = {Huilin Qu and Congqiao Li and Sitian Qian},
  year          = {2024},
  eprint        = {2202.03772},
  archiveprefix = {arXiv},
  primaryclass  = {hep-ph},
  url           = {https://arxiv.org/abs/2202.03772}
}

@article{REANA,
  author  = {{Šimko, Tibor} and {Heinrich, Lukas} and {Hirvonsalo, Harri} and {Kousidis, Dinos} and {Rodríguez, Diego}},
  title   = {REANA: A System for Reusable Research Data Analyses},
  doi     = {10.1051/epjconf/201921406034},
  url     = {https://doi.org/10.1051/epjconf/201921406034},
  journal = {EPJ Web Conf.},
  year    = 2019,
  volume  = 214,
  pages   = {06034}
}

@article{Rodrigues_2020,
  title     = {The Scikit HEP Project overview and prospects},
  volume    = {245},
  issn      = {2100-014X},
  url       = {http://dx.doi.org/10.1051/epjconf/202024506028},
  doi       = {10.1051/epjconf/202024506028},
  journal   = {EPJ Web of Conferences},
  publisher = {EDP Sciences},
  author    = {Rodrigues, Eduardo and Krikler, Benjamin and Burr, Chris and Smirnov, Dmitri and Dembinski, Hans and Schreiner, Henry and Nandi, Jaydeep and Pivarski, Jim and Feickert, Matthew and Marinangeli, Matthieu and Smith, Nick and Das, Pratyush},
  editor    = {Doglioni, C. and Kim, D. and Stewart, G.A. and Silvestris, L. and Jackson, P. and Kamleh, W.},
  year      = {2020},
  pages     = {06028}
}

@article{ROOT:RDataFrame,
  author  = {{Piparo, Danilo} and {Canal, Philippe} and {Guiraud, Enrico} and {Pla, Xavier Valls} and {Ganis, Gerardo} and {Amadio, Guilherme} and {Naumann, Axel} and {Tejedor, Enric}},
  title   = {RDataFrame: Easy Parallel ROOT Analysis at 100 Threads},
  doi     = {10.1051/epjconf/201921406029},
  url     = {https://doi.org/10.1051/epjconf/201921406029},
  journal = {EPJ Web Conf.},
  year    = 2019,
  volume  = 214,
  pages   = {06029}
}

@article{ROOT:RDataFrame_prod_path,
  author  = {{Blomer, Jakob} and {Canal, Philippe} and {de Geus, Florine} and {Hahnfeld, Jonas} and {Naumann, Axel} and {Lopez-Gomez, Javier} and {Lazzari Miotto, Giovanna} and {Padulano, Vincenzo Eduardo}},
  title   = {ROOT’s RNTuple I/O Subsystem: The Path to Production},
  doi     = {10.1051/epjconf/202429506020},
  url     = {https://doi.org/10.1051/epjconf/202429506020},
  journal = {EPJ Web of Conf.},
  year    = 2024,
  volume  = 295,
  pages   = {06020}
}

@article{Sailer:2020fah,
  author  = {Sailer, Andr{\'e} and Ganis, Gerardo and Mato, Pere and Petrič, Marko and Stewart, Graeme A.},
  title   = {Towards a Turnkey Software Stack for HEP Experiments},
  doi     = {10.1051/epjconf/202024510002},
  journal = {EPJ Web Conf.},
  year    = 2020,
  volume  = 245,
  pages   = 10002
}

@article{Schulte:1998au,
  author  = {Schulte, D.},
  editor  = {Ko, Kwok and Ryne, Robert D.},
  title   = {{Beam-beam simulations with Guinea-Pig}},
  journal = {eConf},
  volume  = {C980914},
  pages   = {127-131},
  year    = {1998},
  url     = {https://cds.cern.ch/record/382453/files/ps-99-014.pdf}
}

@article{Sherpa:2019gpd,
  author        = {Bothmann, Enrico and others},
  collaboration = {Sherpa},
  title         = {{Event Generation with Sherpa 2.2}},
  eprint        = {1905.09127},
  archiveprefix = {arXiv},
  primaryclass  = {hep-ph},
  reportnumber  = {FERMILAB-PUB-19-218-T, SLAC-PUB-17433, IPPP/19/42, MCNET-19-11},
  doi           = {10.21468/SciPostPhys.7.3.034},
  journal       = {SciPost Phys.},
  volume        = {7},
  number        = {3},
  pages         = {034},
  year          = {2019}
}

@article{Sherpa:2024mfk,
  author        = {Bothmann, Enrico
                   and Flower, Lois
                   and G{\"u}tschow, Christian
                   and H{\"o}che, Stefan
                   and Hoppe, Mareen
                   and Isaacson, Joshua
                   and Knobbe, Max
                   and Krauss, Frank
                   and Meinzinger, Peter
                   and Napoletano, Davide
                   and Price, Alan
                   and Reichelt, Daniel
                   and Sch{\"o}nherr, Marek
                   and Schumann, Steffen
                   and Siegert, Frank},
  title         = {Event generation with Sherpa 3},
  journal       = {Journal of High Energy Physics},
  year          = {2024},
  volume        = {2024},
  number        = {12},
  pages         = {156},
  abstract      = {Sherpa is a general-purpose Monte Carlo event generator for the simulation of particle collisions in high-energy collider experiments. We summarise new developments, essential features, and ongoing improvements within the Sherpa 3 release series. Physics improvements include higher-order electroweak corrections, simulations of photoproduction and hard diffraction at NLO QCD, heavy-flavour matching in NLO multijet merging, spin-polarised cross section calculations, and a new model of colour reconnections. In addition, the modelling of hadronisation, the underlying event and QED effects in both production and decay has been improved, and the overall event generation efficiency has been enhanced.},
  issn          = {1029-8479},
  doi           = {10.1007/JHEP12(2024)156},
  url           = {https://doi.org/10.1007/JHEP12(2024)156},
  eprint        = {2410.22148},
  archiveprefix = {arXiv},
  primaryclass  = {hep-ph},
  reportnumber  = {IPPP/24/67, LTH-1385, FERMILAB-PUB-24-0748-T, ZU-TH
                   51/24, MCNET-24-17, CERN-TH-2024-171}
}

@article{Sjostrand:2014zea,
  author        = {Sj\"ostrand, Torbj\"orn and Ask, Stefan and Christiansen, Jesper R. and Corke, Richard and Desai, Nishita and Ilten, Philip and Mrenna, Stephen and Prestel, Stefan and Rasmussen, Christine O. and Skands, Peter Z.},
  title         = {{An introduction to PYTHIA 8.2}},
  eprint        = {1410.3012},
  archiveprefix = {arXiv},
  primaryclass  = {hep-ph},
  reportnumber  = {LU-TP-14-36, MCNET-14-22, CERN-PH-TH-2014-190, FERMILAB-PUB-14-316-CD, DESY-14-178, SLAC-PUB-16122},
  doi           = {10.1016/j.cpc.2015.01.024},
  journal       = {Comput. Phys. Commun.},
  volume        = {191},
  pages         = {159--177},
  year          = {2015}
}

@article{Smith_2020,
  title     = {Coffea Columnar Object Framework For Effective Analysis},
  volume    = {245},
  issn      = {2100-014X},
  url       = {http://dx.doi.org/10.1051/epjconf/202024506012},
  doi       = {10.1051/epjconf/202024506012},
  journal   = {EPJ Web of Conferences},
  publisher = {EDP Sciences},
  author    = {Smith, Nicholas and Gray, Lindsey and Cremonesi, Matteo and Jayatilaka, Bo and Gutsche, Oliver and Hall, Allison and Pedro, Kevin and Acosta, Maria and Melo, Andrew and Belforte, Stefano and Pivarski, Jim},
  editor    = {Doglioni, C. and Kim, D. and Stewart, G.A. and Silvestris, L. and Jackson, P. and Kamleh, W.},
  year      = {2020},
  pages     = {06012}
}

@article{snakemake,
  author  = { Mölder, F and Jablonski, KP and Letcher, B and Hall, MB and Tomkins-Tinch, CH and Sochat, V and Forster, J and Lee, S and Twardziok, SO and Kanitz, A and Wilm, A and Holtgrewe, M and Rahmann, S and Nahnsen, S and Köster, J},
  title   = {Sustainable data analysis with Snakemake [version 2; peer review: 2 approved]
             },
  journal = {F1000Research},
  volume  = {10},
  year    = {2021},
  number  = {33},
  doi     = {10.12688/f1000research.29032.2}
}

@misc{Snowmass:2021_career_pipeline,
  title         = {Summary Report of the Topical Group on Career Pipeline and Development (CommF2) Community Engagement Frontier Snowmass 2021},
  author        = {Julie Hogan and Aneliya Karadzhinova-Ferrer and Sudhir Malik},
  year          = {2022},
  eprint        = {2209.10114},
  archiveprefix = {arXiv},
  primaryclass  = {physics.ed-ph},
  url           = {https://arxiv.org/abs/2209.10114}
}

@misc{Snowmass:2021_CEF_report,
  title         = {Snowmass 2021 - Community Engagement Frontier report},
  author        = {Ketevi A. Assamagan and Breese Quinn and Kenneth Bloom and Veronique Boisvert and Carla Bonifazi and Johan S. Bonilla and Mu-Chun Chen and Sarah M. Demers and Farah Fahim and Rob Fine and Mike Headley and Julie Hogan and Kathryn Jepsen and Sijbrand de Jong and Aneliya Karadzhinova-Ferrer and Yi-Hsuan Lin and Don Lincoln and Sudhir Malik and Alex Murokh and Azwinndini Muronga and Randal Ruchti and Louise Suter and Koji Yoshimura},
  year          = {2022},
  eprint        = {2211.13210},
  archiveprefix = {arXiv},
  primaryclass  = {physics.soc-ph},
  url           = {https://arxiv.org/abs/2211.13210}
}

@online{Snowmass:2021_community_engagement_frontier,
  title = {Snowmass 2021 - Community Engagement Frontier},
  url   = {https://www.slac.stanford.edu/econf/C210711/Engagement.html},
  year  = {2022}
}

@techreport{Software:2815292,
  author       = {CMS Offline Software and Computing},
  title        = {{CMS Phase-2 Computing Model: Update Document}},
  institution  = {CERN},
  reportnumber = {CMS-NOTE-2022-008, CERN-CMS-NOTE-2022-008},
  address      = {Geneva},
  year         = {2022},
  url          = {https://cds.cern.ch/record/2815292}
}

@online{TheCarpentries,
  title = {The Carpentries},
  url   = {https://carpentries.org}
}

@misc{tong2024improvinggeneralizingflowbasedgenerative,
  title         = {Improving and generalizing flow-based generative models with
                   minibatch optimal transport},
  author        = {Alexander Tong and Kilian Fatras and Nikolay Malkin and
                   Guillaume Huguet and Yanlei Zhang and Jarrid Rector-Brooks and Guy Wolf
                   and Yoshua Bengio},
  year          = {2024},
  eprint        = {2302.00482},
  archiveprefix = {arXiv},
  primaryclass  = {cs.LG},
  url           = {https://arxiv.org/abs/2302.00482}
}

@online{traccc,
  title = {ACTS: demonstrator tracking chain for accelerators (traccc)},
  url   = {https://github.com/acts-project/traccc}
}

@techreport{trackoverlay,
  author        = {Tsai, Fang-Ying},
  collaboration = {ATLAS},
  title         = {{Boosting CPU Efficiency in ATLAS Inner Detector
                   Reconstruction with Track Overlay}},
  institution   = {CERN},
  reportnumber  = {ATL-SOFT-PROC-2024-006},
  address       = {Geneva},
  year          = {2024},
  url           = {https://cds.cern.ch/record/2907576}
}

@article{Valassi:2022dkc,
  author        = {Valassi, Andrea and Childers, Taylor and Field, Laurence and Hageboeck, Stefan and Hopkins, Walter and Mattelaer, Olivier and Nichols, Nathan and Roiser, Stefan and Smith, David},
  title         = {{Developments in Performance and Portability for \mbox{MadGraph5\_aMC@NLO}}},
  eprint        = {2210.11122},
  archiveprefix = {arXiv},
  primaryclass  = {physics.comp-ph},
  doi           = {10.22323/1.414.0212},
  journal       = {PoS},
  volume        = {ICHEP2022},
  pages         = {212},
  year          = {2022}
}

@article{Wettersten:2023ekm,
  author        = {Wettersten, Zenny and Mattelaer, Olivier and Roiser, Stefan and Sch\"ofbeck, Robert and Valassi, Andrea},
  title         = {{Acceleration beyond lowest order event generation. An outlook on further parallelism within MadGraph5\_aMC@NLO}},
  eprint        = {2312.07440},
  archiveprefix = {arXiv},
  primaryclass  = {physics.comp-ph},
  doi           = {10.1051/epjconf/202429510001},
  journal       = {EPJ Web Conf.},
  volume        = {295},
  pages         = {10001},
  year          = {2024}
}


@article{wilkinson_fair_2016,
  title    = {The {FAIR} {Guiding} {Principles} for scientific data management and stewardship},
  volume   = {3},
  issn     = {2052-4463},
  url      = {https://doi.org/10.1038/sdata.2016.18},
  doi      = {10.1038/sdata.2016.18},
  abstract = {There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders—representing academia, industry, funding agencies, and scholarly publishers—have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community.},
  number   = {1},
  journal  = {Scientific Data},
  author   = {Wilkinson, Mark D. and Dumontier, Michel and Aalbersberg, IJsbrand Jan and Appleton, Gabrielle and Axton, Myles and Baak, Arie and Blomberg, Niklas and Boiten, Jan-Willem and da Silva Santos, Luiz Bonino and Bourne, Philip E. and Bouwman, Jildau and Brookes, Anthony J. and Clark, Tim and Crosas, Mercè and Dillo, Ingrid and Dumon, Olivier and Edmunds, Scott and Evelo, Chris T. and Finkers, Richard and Gonzalez-Beltran, Alejandra and Gray, Alasdair J.G. and Groth, Paul and Goble, Carole and Grethe, Jeffrey S. and Heringa, Jaap and ’t Hoen, Peter A.C and Hooft, Rob and Kuhn, Tobias and Kok, Ruben and Kok, Joost and Lusher, Scott J. and Martone, Maryann E. and Mons, Albert and Packer, Abel L. and Persson, Bengt and Rocca-Serra, Philippe and Roos, Marco and van Schaik, Rene and Sansone, Susanna-Assunta and Schultes, Erik and Sengstag, Thierry and Slater, Ted and Strawn, George and Swertz, Morris A. and Thompson, Mark and van der Lei, Johan and van Mulligen, Erik and Velterop, Jan and Waagmeester, Andra and Wittenburg, Peter and Wolstencroft, Katherine and Zhao, Jun and Mons, Barend},
  month    = mar,
  year     = {2016},
  pages    = {160018}
}

@misc{WLCG:ana_fac_wp,
  title         = {Analysis Facilities White Paper},
  author        = {D. Ciangottini and A. Forti and L. Heinrich and N. Skidmore and C. Alpigiani and M. Aly and D. Benjamin and B. Bockelman and L. Bryant and J. Catmore and M. D'Alfonso and A. Delgado Peris and C. Doglioni and G. Duckeck and P. Elmer and J. Eschle and M. Feickert and J. Frost and R. Gardner and V. Garonne and M. Giffels and J. Gooding and E. Gramstad and L. Gray and B. Hegner and A. Held and J. Hernández and B. Holzman and F. Hu and B. K. Jashal and D. Kondratyev and E. Kourlitis and L. Kreczko and I. Krommydas and T. Kuhr and E. Lancon and C. Lange and D. Lange and J. Lange and P. Lenzi and T. Linden and V. Martinez Outschoorn and S. McKee and J. F. Molina and M. Neubauer and A. Novak and I. Osborne and F. Ould-Saada and A. P. Pages and K. Pedro and A. Perez-Calero Yzquierdo and S. Piperov and J. Pivarski and E. Rodrigues and N. Sahoo and A. Sciaba and M. Schulz and L. Sexton-Kennedy and O. Shadura and T. Šimko and N. Smith and D. Spiga and G. Stark and G. Stewart and I. Vukotic and G. Watts},
  year          = {2024},
  eprint        = {2404.02100},
  archiveprefix = {arXiv},
  primaryclass  = {hep-ex},
  url           = {https://arxiv.org/abs/2404.02100}
}

@online{wlcgsust,
  title = {WLCG Environmental Sustainability Workshop},
  url   = {https://indico.cern.ch/event/1450885},
  year  = 2024
}

@article{yadage,
  doi       = {10.1088/1742-6596/898/10/102019},
  url       = {https://dx.doi.org/10.1088/1742-6596/898/10/102019},
  year      = {2017},
  publisher = {IOP Publishing},
  volume    = {898},
  number    = {10},
  pages     = {102019},
  author    = {Cranmer, Kyle and Heinrich, Lukas},
  title     = {Yadage and Packtivity – analysis preservation using parametrized workflows},
  journal   = {Journal of Physics: Conference Series},
  abstract  = {Preserving data analyses produced by the collaborations at LHC in a parametrized fashion is crucial in order to maintain reproducibility and re-usability. We argue for a declarative description in terms of individual processing steps – “packtivities” – linked through a dynamic directed acyclic graph (DAG) and present an initial set of JSON schemas for such a description and an implementation – “yadage” – capable of executing workflows of analysis preserved via Linux containers.}
}

@misc{yeo_2023_8119769,
  author    = {Yeo, Beomki and
               Kusiak, Konrad Aleksander and
               Leggett, Charles and
               Mania, Georgiana and
               Niermann, Joana and
               Styles, Nicholas and
               Swatman, Stephen Nicholas and
               Salzburger, Andreas and
               GRASLAND, Hadrien and
               Gessinger, Paul and
               Gray, Heather and
               Joube, Sylvain and
               Krasznahorkay, Attila},
  title     = {CTD2022: traccc - GPU Track reconstruction
               demonstrator for HEP
               },
  month     = jun,
  year      = 2023,
  publisher = {Zenodo},
  doi       = {10.5281/zenodo.8119769},
  url       = {https://doi.org/10.5281/zenodo.8119769}
}