Road map for the tuning of hadronic interaction models with accelerator-based and astroparticle data
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| Format: | Preprint |
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2025
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| author | Albrecht, Johannes Tjus, Julia Becker Behling, Noah Blažek, Jiří Bleicher, Marcus Boelhauve, Julian Cazon, Lorenzo Conceição, Ruben Dembinski, Hans Dietrich, Luca Ebr, Jan Ellbracht, Jan Engel, Ralph Fedynitch, Anatoli Fieg, Max Garzelli, Maria Gaudu, Chloé Graziani, Giacomo Gutjahr, Pascal Haungs, Andreas Huege, Tim Hymon, Karolin Hünnefeld, Mirco Kampert, Karl-Heinz Kardum, Leonora Kolk, Lars Korneeva, Natalia Kröninger, Kevin Maire, Antonin Menjo, Hiroaki Morejon, Leonel Ostapchenko, Sergey Paakkinen, Petja Pierog, Tanguy Plotko, Pavlo Prosekin, Anton Pyras, Lilly Pöschl, Thomas Rautenberg, Julian Reininghaus, Maximilian Rhode, Wolfgang Riehn, Felix Roth, Markus Sandrock, Alexander Sarcevic, Ina Schmelling, Michael Sigl, Günter Sjöstrand, Torbjorn Soldin, Dennis Unger, Michael Utheim, Marius Vícha, Jakub Werner, Klaus Windau, Michael Zhukov, Valery |
| author_facet | Albrecht, Johannes Tjus, Julia Becker Behling, Noah Blažek, Jiří Bleicher, Marcus Boelhauve, Julian Cazon, Lorenzo Conceição, Ruben Dembinski, Hans Dietrich, Luca Ebr, Jan Ellbracht, Jan Engel, Ralph Fedynitch, Anatoli Fieg, Max Garzelli, Maria Gaudu, Chloé Graziani, Giacomo Gutjahr, Pascal Haungs, Andreas Huege, Tim Hymon, Karolin Hünnefeld, Mirco Kampert, Karl-Heinz Kardum, Leonora Kolk, Lars Korneeva, Natalia Kröninger, Kevin Maire, Antonin Menjo, Hiroaki Morejon, Leonel Ostapchenko, Sergey Paakkinen, Petja Pierog, Tanguy Plotko, Pavlo Prosekin, Anton Pyras, Lilly Pöschl, Thomas Rautenberg, Julian Reininghaus, Maximilian Rhode, Wolfgang Riehn, Felix Roth, Markus Sandrock, Alexander Sarcevic, Ina Schmelling, Michael Sigl, Günter Sjöstrand, Torbjorn Soldin, Dennis Unger, Michael Utheim, Marius Vícha, Jakub Werner, Klaus Windau, Michael Zhukov, Valery |
| contents | In high-energy and astroparticle physics, event generators play an essential role, even in the simplest data analyses. As analysis techniques become more sophisticated, e.g. based on deep neural networks, their correct description of the observed event characteristics becomes even more important. Physical processes occurring in hadronic collisions are simulated within a Monte Carlo framework. A major challenge is the modeling of hadron dynamics at low momentum transfer, which includes the initial and final phases of every hadronic collision. QCD-inspired phenomenological models used for these phases cannot guarantee completeness or correctness over the full phase space. These models usually include parameters which must be tuned to suitable experimental data. Until now, event generators have been developed and tuned mainly on the basis of data from high-energy physics experiments at accelerators. The wealth of data available from the latest generation of astroparticle experiments has not yet been fully exploited, and in many cases is not satisfactorily described. Both kinds of data sets are complementary as astroparticle experiments provide sensitivity especially to hadrons produced nearly parallel to the collision axis and cover center-of-mass energies up to several hundred TeV, well beyond those reached at colliders so far. In this report, we provide an overview of state-of-the-art event generators and their tuning, including the most relevant inputs from high-energy accelerator and astroparticle experiments. We present a road map that shows, for the first time, how the unified tuning of event generators with accelerator-based and astroparticle data can be performed. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_21796 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Road map for the tuning of hadronic interaction models with accelerator-based and astroparticle data Albrecht, Johannes Tjus, Julia Becker Behling, Noah Blažek, Jiří Bleicher, Marcus Boelhauve, Julian Cazon, Lorenzo Conceição, Ruben Dembinski, Hans Dietrich, Luca Ebr, Jan Ellbracht, Jan Engel, Ralph Fedynitch, Anatoli Fieg, Max Garzelli, Maria Gaudu, Chloé Graziani, Giacomo Gutjahr, Pascal Haungs, Andreas Huege, Tim Hymon, Karolin Hünnefeld, Mirco Kampert, Karl-Heinz Kardum, Leonora Kolk, Lars Korneeva, Natalia Kröninger, Kevin Maire, Antonin Menjo, Hiroaki Morejon, Leonel Ostapchenko, Sergey Paakkinen, Petja Pierog, Tanguy Plotko, Pavlo Prosekin, Anton Pyras, Lilly Pöschl, Thomas Rautenberg, Julian Reininghaus, Maximilian Rhode, Wolfgang Riehn, Felix Roth, Markus Sandrock, Alexander Sarcevic, Ina Schmelling, Michael Sigl, Günter Sjöstrand, Torbjorn Soldin, Dennis Unger, Michael Utheim, Marius Vícha, Jakub Werner, Klaus Windau, Michael Zhukov, Valery High Energy Astrophysical Phenomena High Energy Physics - Experiment High Energy Physics - Phenomenology In high-energy and astroparticle physics, event generators play an essential role, even in the simplest data analyses. As analysis techniques become more sophisticated, e.g. based on deep neural networks, their correct description of the observed event characteristics becomes even more important. Physical processes occurring in hadronic collisions are simulated within a Monte Carlo framework. A major challenge is the modeling of hadron dynamics at low momentum transfer, which includes the initial and final phases of every hadronic collision. QCD-inspired phenomenological models used for these phases cannot guarantee completeness or correctness over the full phase space. These models usually include parameters which must be tuned to suitable experimental data. Until now, event generators have been developed and tuned mainly on the basis of data from high-energy physics experiments at accelerators. The wealth of data available from the latest generation of astroparticle experiments has not yet been fully exploited, and in many cases is not satisfactorily described. Both kinds of data sets are complementary as astroparticle experiments provide sensitivity especially to hadrons produced nearly parallel to the collision axis and cover center-of-mass energies up to several hundred TeV, well beyond those reached at colliders so far. In this report, we provide an overview of state-of-the-art event generators and their tuning, including the most relevant inputs from high-energy accelerator and astroparticle experiments. We present a road map that shows, for the first time, how the unified tuning of event generators with accelerator-based and astroparticle data can be performed. |
| title | Road map for the tuning of hadronic interaction models with accelerator-based and astroparticle data |
| topic | High Energy Astrophysical Phenomena High Energy Physics - Experiment High Energy Physics - Phenomenology |
| url | https://arxiv.org/abs/2508.21796 |