Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Perspectives on the Calibration of CNN Energy Reconstruction in Highly
  Granular Calorimeters   We present a study which shows encouraging stability of the response
linearity for a simulated high granularity calorimeter module reconstructed by
a CNN model to miscalibration, bias, and noise effects. Our results also show
an intuitive, quantifiable relationship between these factors and the
calibration parameters. We trained a CNN model to reconstruct energy in the
calorimeter module using simulated single-pion events; we then observed the
response of the model under various miscalibration, bias, and noise conditions
that affected the model input. From these data, we estimated linear response
models to calibrate the CNN. We also quantified the relationship between these
factors and the calibration parameters by regression analysis.

32
The categories of this paper are: atom-ph
25
The categories of this paper are: patt-sol
7
The categories of this paper are: hep-th
29
The categories of this paper are: funct-an
11
The categories of this paper are: hep-lat
19
The categories of this paper are: eess
27
The categories of this paper are: comp-gas
18
The categories of this paper are: econ
12
The categories of this paper are: nucl-th
35
The categories of this paper are: mtrl-th
26
The categories of this paper are: bayes-an
0
The categories of this paper are: hep-ph
17
The categories of this paper are: q-fin
2
The categories of this paper are: math
13
The categories of this paper are: quant-ph
5
The categories of this paper are: gr-qc