Road map for the tuning of hadronic interaction models with accelerator-based and astroparticle data
Johannes Albrecht, Julia Becker Tjus, Noah Behling, Jiří Blažek, Marcus Bleicher, Julian Boelhauve, Lorenzo Cazon, Ruben Conceição, Hans Dembinski, Luca Dietrich, Jan Ebr, Jan Ellbracht, Ralph Engel, Anatoli Fedynitch, Max Fieg, Maria Garzelli, Chloé Gaudu, Giacomo Graziani, Pascal Gutjahr, Andreas Haungs, Tim Huege, Karolin Hymon, Karl-Heinz Kampert, Leonora Kardum, Lars Kolk, Natalia Korneeva, Kevin Kröninger, Antonin Maire, Hiroaki Menjo, Leonel Morejon, Sergey Ostapchenko, Petja Paakkinen, Tanguy Pierog, Pavlo Plotko, Anton Prosekin, Lilly Pyras, Thomas Pöschl, Maximilian Reininghaus, Wolfgang Rhode, Felix Riehn, Markus Roth, Alexander Sandrock, Ina Sarcevic, Michael Schmelling, Günter Sigl, Torbjorn Sjöstrand, Dennis Soldin, Michael Unger, Marius Utheim, Jakub Vícha, Klaus Werner, Michael Windau, Valery Zhukov
公開日: 2025/8/29
Abstract
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. Phenomenological models inspired by Quantum Chromodynamics 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 primarily been developed and tuned based on data from high-energy physics experiments at accelerators. However, in many cases they have been found to not satisfactorily describe data from astroparticle experiments, which 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 address the complementarity of these two sets of data and present a road map for exploiting, for the first time, their complementarity by enabling a unified tuning of event generators with accelerator-based and astroparticle data.