Generated by GPT-5-mini| SIBYLL 2.3c | |
|---|---|
| Name | SIBYLL 2.3c |
| Developer | Fermi National Accelerator Laboratory; University of Karlsruhe; Max Planck Institute for Nuclear Physics |
| Initial release | 2018 |
| Latest release | 2019 |
| Written in | Fortran, C++ |
| Platform | Linux, Unix |
| License | Open-source (academic) |
SIBYLL 2.3c
SIBYLL 2.3c is a hadronic interaction model used in high-energy astroparticle physics, cosmic ray air-shower simulations and neutrino flux predictions. The model was developed and released by collaborations involving researchers at Fermi National Accelerator Laboratory, Karlsruhe Institute of Technology, and the Max Planck Institute for Nuclear Physics to update earlier generations with constrained particle-production, forward physics, and charm production. It is incorporated into major simulation frameworks and compared against alternative codes and experimental datasets from facilities such as Large Hadron Collider, IceCube Neutrino Observatory, and Pierre Auger Observatory.
SIBYLL 2.3c is a Monte Carlo event generator that models non-perturbative and semi-perturbative processes in high-energy hadron-hadron and hadron-nucleus collisions, and it is distributed for use in air-shower packages like CORSIKA and particle-transport frameworks like CRMC. The model builds on phenomenological approaches tested against measurements from ALICE, ATLAS, CMS, and fixed-target programs at CERN and Fermilab, and was tuned using data from experiments including NA61/SHINE and LHCb. Authors incorporated theoretical constraints inspired by work at institutions such as Brookhaven National Laboratory and Princeton University and made the model available to the communities served by observatories like Telescope Array and KASCADE.
SIBYLL 2.3c introduced updated treatments of baryon-number transport, leading-particle spectra, and enhanced forward particle production tuned to measurements by LHCf and TOTEM. The model added explicit charm-pair production channels constrained by results from IceCube, ANTARES, and accelerator charm measurements from Belle and BaBar, while preserving soft-interaction prescriptions used in earlier codes inspired by models at DESY and SLAC National Accelerator Laboratory. Improvements included revised fragmentation functions influenced by work at University of Chicago and cross-section parametrizations benchmarked to PDG compilations and global fits utilized by researchers at University of Oxford and University of Tokyo.
SIBYLL 2.3c is implemented in compiled languages suitable for high-performance computing clusters used at CERN and Fermilab, and it interfaces with simulation tools developed at University of Karlsruhe and software stacks maintained by groups at Max Planck Society. The code is optimized for integration with air-shower frameworks used by Pierre Auger Observatory and IceCube Collaboration, and it supports event-level output compatible with analysis pipelines at Los Alamos National Laboratory and Lawrence Berkeley National Laboratory. Efficiency improvements reflect parallelization strategies comparable to implementations at Argonne National Laboratory and code distribution practices followed by consortia including European Organization for Nuclear Research contributors.
SIBYLL 2.3c has been validated against accelerator data from ATLAS, CMS, ALICE, and forward measurements from LHCf and TOTEM, and compared with alternative hadronic interaction models such as QGSJET II-04, EPOS-LHC, and legacy versions used by KASCADE-Grande analyses. Inter-model comparisons performed by collaborations at Pierre Auger Observatory and Telescope Array Project emphasize differences in muon production and prompt-neutrino yields, with validation studies drawing on analysis methods from groups at University of Wisconsin–Madison and University of Delaware. Systematic benchmarking also referenced datasets from NA49 and NA61/SHINE and employed statistical tools developed at CERN and University of Geneva.
SIBYLL 2.3c is widely used to propagate uncertainties in extensive air-shower observables analyzed by Pierre Auger Observatory, Telescope Array, and KASCADE experiments, and to estimate atmospheric-neutrino backgrounds for detectors such as IceCube Neutrino Observatory, ANTARES, and the planned KM3NeT. The model informs interpretation of primary composition studies from collaborations at University of Sao Paulo and University of Tokyo and supports flux predictions used by analyses at Super-Kamiokande and Hyper-Kamiokande design groups. It also contributes to multi-messenger studies correlating cosmic-ray arrival directions from observatories like AugerPrime with neutrino events cataloged by IceCube teams.
Despite improvements, SIBYLL 2.3c retains phenomenological elements with limited first-principles derivation for non-perturbative forward physics, leading to model-dependent extrapolations relevant to energy ranges probed by Pierre Auger Observatory and the High Altitude Water Cherenkov Observatory. Ongoing development efforts coordinated by research groups at Fermilab, Karlsruhe Institute of Technology, and the Max Planck Institute for Nuclear Physics aim to refine charm production and nuclear effects, guided by new datasets from LHC Run 3, NA61/SHINE extensions, and future measurements at proposed facilities like Electron–Ion Collider. Users often combine SIBYLL 2.3c predictions with those from EPOS-LHC and QGSJET II-04 in systematic studies to characterize theoretical uncertainties relevant to analyses at IceCube and Pierre Auger Observatory.
Category:Particle physics software Category:Monte Carlo particle generators