The FLUKA Code: Developments and Challenges for High Energy and Medical Applications

By T. T. Bohlen, F. Cerutti, M. Chin, A. Fassò, A. Ferrari, P. G. Ortega, A. Mairani, P. Sala, G. Smirnov, V. Vlachoudis. 2014

1,778 citations recorded by the source corpus.

Subfields: Nuclear and High Energy Physics, Pulmonary and Respiratory Medicine, Radiation

View Paper: https://www.semanticscholar.org/paper/ed519615ec4af9d1e106a8b20a6c550e4beaa16a

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In Nuclear and High Energy Physics

1. Cms Collaboration
2. Ralph Engel
3. A. Fedynitch
4. M. Unger
5. T. Blake
6. F. Kling
7. K. Kampert
8. Simone Bifani

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1. Vladimir Vava Gligorov
2. Cms Collaboration
3. Atlas Collaboration

Citations in the corpus

• ForwArd Search ExpeRiment at the LHC (2017, methodology): “[72] A. Ferrari, P. R. Sala, A. Fasso, and J. Ranft, “FLUKA: A multi-particle transport code (Program version 2005),”. http://www.fluka.org/fluka.php.”
• The DESY II test beam facility (2018, methodology): “The resulting radiation doses of a FLUKA [12, 13] simulation, for the example of a 10 cm thick lead block array in front of a test beam area wall as in TB22 are presented in the following.”
• Atmospheric muons as an imaging tool (2019, methodology): “tools developed for particle and nuclear physics, such as GEANT4 [146] or FLUKA [147], allow a very accurate simulation of the muon interaction with the traversed material, but take a very long computation time at each simulation step.”
• FASER’s physics reach for long-lived particles (2018, methodology): “Estimates based on detailed simulations using FLUKA [10,11] by CERN’s Sources, Targets, and Interaction (STI) group [12], combined with in situmeasurements using emulsion detectors, have now confirmed a low rate of highenergy SM particles in these locations.”
• Hadronic interaction model sibyll 2.3d and extensive air showers (2020, methodology): “[119] T. T. Böhlen, F. Cerutti, M. P. W. Chin, A. Fassò, A. Ferrari, P. G. Ortega, A. Mairani, P. R. Sala, G. Smirnov, and V. Vlachoudis, The FLUKA code: Developments and challenges for high energy and medical applications, Nucl.”
• The Muon Puzzle in cosmic-ray induced air showers and its connection to the Large Hadron Collider (2021, methodology): “Available choices for the low-energy model are URQMD (Lang et al. 2016), FLUKA (Böhlen et al. 2014), and the now disfavoured GHEISHA (Fesefeldt 1985).”
• Measurement of neutrino and antineutrino oscillations by the T2K experiment including a new additional sample of nu(e) interactions at the far detector (2017, neutral): “Interactions of the primary proton beam, whose profile is measured for each run period by a suite of proton beam monitors, as well as subsequently-produced pions and kaons, are simulated within the graphite target by the FLUKA 2011 package [17, 18].”
• Multiplicity dependence of light-flavor hadron production in pp collisions at √s = 7 TeV (2019, methodology): “The additional corrections based on FLUKA [32, 33] for kaons and anti-protons, which are needed for those specific identified particle measurements in order to account for an imperfect description of absorption cross-section in the detector material, were found to have negligible impact on the unide”
• Open Questions in Cosmic-Ray Research at Ultrahigh Energies (2019, neutral): “…et al., 2016; Fedynitch et al., 2018), and DPMJET (Ranft, 1995; Roesler et al., 2001) for high-energy interactions, typically with a laboratory frame momentum larger than 100 GeV, and FLUKA (Ferrari et al., 2005; Böhlen et al., 2014) and UrQMD (Bleicher et al., 1999) for low-energy interactions.”
• A Proposal for a Three Detector Short-Baseline Neutrino Oscillation Program in the Fermilab Booster Neutrino Beam (2015, methodology): “As a cross-check, neutrino interactions in the ICARUS-T600 detector have been also independently simulated using FLUKA[60–62], and consistent results were found.”
• Physics case for an LHCb Upgrade II - Opportunities in flavour physics, and beyond, in the HL-LHC era (2018, methodology): “A simulation of the LHC machine layout around LHCb, using the Fluka package [20], was performed in order to assess the energy deposition in the different machine components [3].”