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Software Compensation for Highly Granular Calorimeters using Machine Learning

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arxiv 2403.04632 v1 pith:TLR5AUXL submitted 2024-03-07 physics.ins-det

S. Lai , J. Utehs , A. Wilhahn , O. Bach , E. Brianne , A. Ebrahimi , K. Gadow , P. Göttlicher
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O. Hartbrich D. Heuchel A. Irles K. Krüger J. Kvasnicka S. Lu C. Neubüser A. Provenza M. Reinecke F. Sefkow S. Schuwalow M. De Silva Y. Sudo H.L. Tran E. Buhmann E. Garutti S. Huck G. Kasieczka S. Martens J. Rolph J. Wellhausen G. C. Blazey A. Dyshkant K. Francis V. Zutshi B. Bilki D. Northacker Y. Onel F. Hummer F. Simon K. Kawagoe T. Onoe T. Suehara S. Tsumura T. Yoshioka M.C. Fouz L. Emberger C. Graf M. Wagner R. Pöschl F. Richard D. Zerwas V. Boudry J-C. Brient J. Nanni H. Videau L. Liu R. Masuda T. Murata W. Ootani T. Takatsu N. Tsuji M. Chadeeva M. Danilov S. Korpachev V. Rusinov
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classification physics.ins-det
keywords energymethodnetworkneuralahcalcompensationgranularhighly
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A neural network for software compensation was developed for the highly granular CALICE Analogue Hadronic Calorimeter (AHCAL). The neural network uses spatial and temporal event information from the AHCAL and energy information, which is expected to improve sensitivity to shower development and the neutron fraction of the hadron shower. The neural network method produced a depth-dependent energy weighting and a time-dependent threshold for enhancing energy deposits consistent with the timescale of evaporation neutrons. Additionally, it was observed to learn an energy-weighting indicative of longitudinal leakage correction. In addition, the method produced a linear detector response and outperformed a published control method regarding resolution for every particle energy studied.

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  1. 3D software compensation of hadronic showers in the CRILIN crystal calorimeter

    hep-ex 2026-06 unverdicted novelty 5.0 of 10

    Geant4 simulations show that RMS-, center-of-gravity-, and GNN-based software compensation cuts the CRILIN crystal calorimeter's combined hadronic stochastic term from ~69% to ~27%, leaving a CRILIN contribution near ...

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