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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Claim

Pion Energy Regression in High-Granularity Calorimeter Prototype

Research datakeyboard_double_arrow_right Dataset 28 Apr 2023 English Publisher:Zenodo
Authors: Alpana Alpana; Bhargav Joshi; Shubham Pandey;

doi: 10.5281/zenodo.7864471 , 10.5281/zenodo.7864470

Pion Energy Regression in High-Granularity Calorimeter Prototype

Abstract

The dataset consists of simulations of calibrated reconstructed hits produced by a pion passing through the HGCAL test beam prototype. For the simulations, Monte Carlo method is used to produce the pions with energy ranging from 10 to as high as 500 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.

Related Organizations
Keywords

HGCAL, Machine Learning, FAIR4HEP

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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