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DOE OSTI · 2202459

Electron Energy Regression in High-Granularity Calorimeter Prototype

Joshi, Bhargav·Alpana, Alpana
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Abstract

The dataset consists of simulations of calibrated reconstructed hits produced by a positron passing through the HGCAL test beam prototype. For the simulations, Monte Carlo method is used to produce the positrons with energy ranging from 10 to 350 GeV. The dataset contains the coordinates of the calibrated reconstructed hits in the prototype along with the calibrated energy in units of MIP. The HDF5 files can be extracted from the gzip files.

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72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDSDNNFAIR4HEPHEPHGCAL

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Joshi, Bhargav, Alpana, Alpana. 2023-01-17. Electron Energy Regression in High-Granularity Calorimeter Prototype. https://doi.org/10.5281/zenodo.7504163

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