A Parameterized Energy Correction Method for Electromagnetic Showers in BGO-ECAL of DAMPE

Abstract

DAMPE is a space-based mission designed as a high energy particle detector measuring cosmic-rays and $\gamma -$rays which was successfully launched on Dec.17, 2015. The BGO electromagnetic calorimeter is one of the key sub-detectors of DAMPE for energy measurement of electromagnetic showers produced by $e^{\pm }/\gamma$. Due to energy loss in dead material and energy leakage outside the calorimeter, the deposited energy in BGO underestimates the primary energy of incident $e^{\pm }/\gamma$. In this paper, based on detailed MC simulations, a parameterized energy correction method using the lateral and longitudinal information of electromagnetic showers has been studied and verified with data of electron beam test at CERN. The measurements of energy linearity and resolution are significantly improved by applying this correction method for electromagnetic showers.

arXiv comment10 figures, to be published in Nuclear Inst. and Methods in Physics Research, A

References in corpus (2)

• Fermi LAT observations of cosmic-ray electrons from 7 GeV to 1 TeV
• The calibration and electron energy reconstruction of the BGO ECAL of the DAMPE detector

Cited by in corpus (14)

• Direct detection of a break in the teraelectronvolt cosmic-ray spectrum of electrons and positrons
• The DArk Matter Particle Explorer mission
• Measurement of the cosmic-ray proton spectrum from 40 GeV to 100 TeV with the DAMPE satellite
• The on-orbit calibration of DArk Matter Particle Explorer
• Search for gamma-ray spectral lines with the DArk Matter Particle Explorer
• Dark Matter Particle Explorer observations of high-energy cosmic ray electrons plus positrons and their physical implications
• Correction Method for the Readout Saturation of the DAMPE Calorimeter
• Simulation study of performance of the Very Large Area gamma-ray Space Telescope
• Study of the Global Alignment for the DAMPE Detector
• An Unsupervised Machine Learning Method for Electron--Proton Discrimination of the DAMPE Experiment
• Temperature effects on MIPs in the BGO calorimeters of DAMPE
• Determination of the absolute energy scale of the DAMPE calorimeter with the geomagnetic rigidity cutoff method
• Simulation of DAMPE silicon microstrip detectors in the $\mathrm{Allpi}{\mathrm{x}}^2$ framework
• Energy Reconstruction of Non-fiducial Electron-Positron Events in the DAMPE Experiment Using Convolutional Neural Networks