Event Generators for High-Energy Physics Experiments

Campbell, J. M.; Diefenthaler, M.; Hobbs, T. J.; Höche, S.; Isaacson, J.; Kling, F.; Mrenna, S.; Reuter, J.; Alioli, S.; Andersen, J. R.; Andreopoulos, C.; Ankowski, A. M.; Aschenauer, E. C.; Ashkenazi, A.; Baker, M. D.; Barrow, J. L.; Beekveld, Melissa van; Bewick, G.; Bhattacharya, S.; Bierlich, C.; Bothmann, E.; Bredt, P.; Broggio, A.; A., Buckley,; Butter, A.; Butterworth, J.; Byrne, E. P.; Chakraborty, S.; Chen, X.; Chiesa, M.; Childers, J. T.; Cruz-Martinez, J.; Currie, J.; Darvishi, N.; Dasgupta, M.; Denner, A.; Dreyer, F. A.; Dytman, S.; El-Menoufi, B. K.; Engel, T.; Ravasio, Silvia Ferrario; Flower, L.; R., Forshaw, J.; R., Frederix,; Friedland, A.; Frixione, S.; Gallagher, H.; Gallmeister, K.; Gardiner, S.; Gauld, R.; Gavardi, A.; Gehrmann, T.; Ridder, A. Gehrmann–De; Gellersen, L.; Gieseke, S.; F., Giuli,; Glover, E. W. N.; Grazzini, M.; Grohsjean, A.; Gütschow, C.; Hamilton, K.; Hatcher, R.; Helenius, I.; Han, T.; Hen, O.; Hirschi, V.; M., Höfer,; Holguin, J.; Huss, A.; Ilten, P.; Jadach, S.; Jentsch, A.; Ju, W.; Kallweit, S.; A., Karlberg,; Katori, T.; W., Kilian,; Kirchgaeßer, M. M.; Knobbe, M.; Krause, C.; Krauss, F.; Lang, J. -N.; G., Lee,; Li, S. W.; Lim, M. A.; Lindert, J. M.; Lombardi, D.; Lönnblad, L.; Löschner, M.; Lurkin, N.; Y., Ma,; Machado, P.; Maier, A.; Majer, I.; Marcoli, M.; Marinelli, G.; Masouminia, M. R.; Mattelaer, O.; Mazzitelli, J.; McFayden, J.; Medves, R.; Peter, Meinzinger,; J., Mo,; Monni, P. F.; T., Morgan,; Mosel, U.; Nachman, B.; Nadolsky, P.; Nagar, R.; Nagy, Z.; D., Napoletano,; Nason, P.; Neumann, T.; Nevay, L. J.; J., Niehues,; Niewczas, K.; Ohl, T.; Pandey, V.; Papadopoulou, A.; Paz, G.; Pellen, M.; Pelliccioli, G.; Pickering, L.; J., Pires,; S., Plätzer,; Plehn, T.; Pozzorini, S.; Prestel, S.; Preuss, C. T.; Price, A. C.; Re, E.; Reichelt, D.; Richardson, P.; Rocco, M.; Rocco, N.; Roda, M.; Garcia, A. Rodriguez; Roiser, S.; Rojo, J.; Salam, G. P.; Schönherr, M.; Schuchmann, S.; Schumann, S.; Schürmann, R.; Scyboz, L.; Seymour, M. H.; Siegert, F.; Signer, A.; Chahal, G. Singh; Siódmok, A.; Sjöstrand, T.; Skands, P.; Smillie, J. M.; Sobczyk, J. T.; Soldin, D.; Soper, D. E.; Soto-Ontoso, A.; G., Soyez,; Stagnitto, G.; Tena-Vidal, J.; Tomalak, O.; Trojanowski, S.; Tu, Z.; Uccirati, S.; Ullrich, T.; Ulrich, Y.; Utheim, M.; Valassi, A.; Verbytskyi, A.; Verheyen, R.; Wagman, M.; Walker, D.; R., Webber, B.; Weinstein, L.; White, O.; J., Whitehead,; Wiesemann, M.; Wilkinson, C.; Williams, C.; Winterhalder, R.; Wret, C.; Xie, K.; Yang, T-Z.; Yazgan, E.; Zanderighi, G.; Zanoli, S.; Zapp, K.

doi:10.48550/arxiv.2203.11110

Cited by 16 publications

(19 citation statements)

References 1,170 publications

(1,644 reference statements)

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“…Since the simulation of collider physics requires understanding real-time dynamics, normal lattice-field-theory techniques based on a Monte Carlo approach is hampered by sign problems [5,6]. For this reason, particle collisions are nowadays described theoretically using various types of approximations [7,8]. Processes at the highest energies are computed using a perturbative evaluation of the full quantummechanical amplitudes [9].…”

Section: Physics Drivesmentioning

confidence: 99%

“…For a review and discussion on event generation in particle physics, see Refs. [7,8]. The short-distance process is computed to a given order in perturbation theory.…”

Section: Physics Drive: Collider Phenomenologymentioning

confidence: 99%

“…In the near term, it will then be important, together with improving the scalability of accurate algorithms, to understand in more detail what type of semi-exclusive data would be available by quantum simulations and how to integrate this information in the event-generator codes employed to analyze the experiment (see, e.g., Refs. [8,353] for recent work in this direction for classical simulations). Another important aspect that merits consideration in the future is how to properly account for relativistic corrections which become important at large energy/momentum transfer (see, e.g., Ref.…”

Section: Physics Drive: Neutrino (Astro)physicsmentioning

confidence: 99%

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Quantum Simulation for High Energy Physics

Bauer¹,

Davoudi²,

Balantekin³

et al. 2022

Preprint

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It is for the first time that quantum simulation for High Energy Physics (HEP) is studied in the U.S. decadal particle-physics community planning, and in fact until recently, this was not considered a mainstream topic in the community. This fact speaks of a remarkable rate of growth of this subfield over the past few years, stimulated by the impressive advancements in Quantum Information Sciences (QIS) and associated technologies over the past decade, and the significant investment in this area by the government and private sectors in the U.S. and other countries. High-energy physicists have quickly identified problems of importance to our understanding of nature at the most fundamental level, from tiniest distances to cosmological extents, that are intractable with classical computers but may benefit from quantum advantage. They have initiated, and continue to carry out, a vigorous program in theory, algorithm, and hardware co-design for simulations of relevance to the HEP mission. This community whitepaper is an attempt to bring this exciting and yet challenging area of research to the spotlight, and to elaborate on what the promises, requirements, challenges, and potential solutions are over the next decade and beyond.

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Section: Physics Drivesmentioning

confidence: 99%

“…For a review and discussion on event generation in particle physics, see Refs. [7,8]. The short-distance process is computed to a given order in perturbation theory.…”

Section: Physics Drive: Collider Phenomenologymentioning

confidence: 99%

Section: Physics Drive: Neutrino (Astro)physicsmentioning

confidence: 99%

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Quantum Simulation for High Energy Physics

Bauer¹,

Davoudi²,

Balantekin³

et al. 2022

Preprint

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“…Unfortunately, neutrino detectors are not designed to distinguish 2p events from single particle charge current quasi-elastic events and only the sum of these events are measured. Phenomenological models [95,96] are being used to predict neutrino-nucleus interaction, with the effect of short-range correlations, on top of Fermi-motion of nucleons, being implemented in Monte-Carlo event generators [98].…”

Section: Neutrino Interactions With Nucleimentioning

confidence: 99%

Nucleon-nucleon correlations inside atomic nuclei: synergies, observations and theoretical models

Dalal¹,

MacGregor²

2022

Preprint

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While the main features of atomic nuclei are well described by nuclear mean-field models, there is a large and growing body of evidence which indicates an important additional role played by spatially-correlated nucleon-nucleon structures. The role of nucleonic structures was first suggested by Heidmann in 1950 to explain pick-up reactions of energetic nucleons. Since then a steady flux of new experimental evidence has confirmed the presence of similar structures inside atomic nuclei, dominated by correlations between pairs of nucleons. The role of these internal nucleon-nucleon correlations has been established using various energetic probes like photons, pions, leptons and hadrons. These correlated structures are essential for understanding the interaction of particles with nuclei and their presence provides an explanation of many specific nuclear phenomena including backscattered protons, copious deuteron production, sub-threshold particle production, neutrino interactions with nuclei and the EMC effect. On the theoretical side, these measurements have stimulated a large number of phenomenological models specifically devised to address these enigmatic observations. While reviews exist for specific interactions, there is currently no published commentary which systematically encompasses the wide range of experimental signatures and theoretical frameworks developed thus far. The present review draws together the synergies between a wide range of different experimental and theoretical studies, summarises progress in this area and highlights outstanding issues for further study.

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“…One direction for improvement could be to infer the 'correct' phase space discretization (and rate) of higher-order corrections from comparison to analytic calculations. We believe EventMover is excellent candidate to build a precision parton shower on the Discrete-QCD paradigm, and hope that our method will inspire innovation enabling differentiable programming in traditional accept-reject-based showers on the quest for precision predictions [34].…”

mentioning

confidence: 99%

Morphing parton showers with event derivatives

Nachman¹,

Prestel²

2022

Preprint

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We develop EventMover, a differentiable parton shower event generator. This tool generates high-and variable-length scattering events that can be moved with simulation derivatives to change the value of the scale ΛQCD defining the strong coupling constant, without introducing statistical variations between samples. To demonstrate the potential for EventMover, we compare the output of the simulation with e + e − data to show how one could fit ΛQCD with only a single event sample. This is a critical step towards a fully differentiable event generator for particle and nuclear physics.

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Event Generators for High-Energy Physics Experiments

Abstract: We provide an overview of the status of Monte-Carlo event generators for high-energy particle physics. Guided by the experimental needs and requirements, we highlight areas of active development, and opportunities for future improvements. Particular emphasis is given to physics

Cited by 16 publications

References 1,170 publications

Quantum Simulation for High Energy Physics

Quantum Simulation for High Energy Physics

Nucleon-nucleon correlations inside atomic nuclei: synergies, observations and theoretical models

Morphing parton showers with event derivatives

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