Jingjing Zang

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 γ -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 ± / γ . 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 ± / γ . 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 significant improved by applying this correction method for electromagnetic showers.

An algorithm to resolve γ-rays from charged cosmic rays with DAMPE

The DArk Matter Particle Explorer (DAMPE), also known as Wukong in China, launched on December 17, 2015, is a new high energy cosmic ray and {\gamma}-ray satellite-borne observatory in space. One of the main scientific goals of DAMPE is to observe GeV-TeV high energy {\gamma}-rays with accurate energy, angular, and time resolution, to indirectly search for dark matter particles and for the study of high energy astrophysics. Due to the comparatively higher fluxes of charged cosmic rays with respect to {\gamma}-rays, it is challenging to identify {\gamma}-rays with sufficiently high efficiency minimizing the amount of charged cosmic ray contamination. In this work we present a method to identify {\gamma}-rays in DAMPE data based on Monte Carlo simulations, using the powerful electromagnetic/hadronic shower discrimination provided by the calorimeter and the veto detection of charged particles provided by the plastic scintillation detector. Monte Carlo simulations show that after this selection the number of electrons and protons that contaminate the selected {\gamma}-ray events at

Measurement of absolute energy scale of ECAL of DAMPE with geomagnetic rigidity cutoff

\sim10

Offline software for the DAMPE experiment

GeV amounts to less than 1% of the selected sample. Finally, we use flight data to verify the effectiveness of the method by highlighting known {\gamma}-ray sources in the sky and by reconstructing preliminary light curves of the Geminga pulsar.

Charge measurement of cosmic ray nuclei with the plastic scintillator detector of DAMPE

In this paper, we developed a method to determine absolute energy scale of DAMPE via measuring geomagnetic cutoff on cosmic ray electron and positron spectrum. The rigidity cutoff on cosmic ray electron and positron was calculated using IGRF-12 model and cosmic ray particle trajectory tracing code developed by Smart and Shea. Then we also measured cosmic ray electron and positron spectrum in MacIlwain L bin [1,1.14] based on over 425 days flight data of DAMPE. By directly comparing calculated geomagnetic cutoff with DAMPE measured result, we provide an estimation on absolute energy scale of DAMPE

Studies of Cosmic-Ray Proton Flux with the DAMPE Experiment

1.25\%

Determination of the South Atlantic Anomaly from DAMPE data

higher than expected at about 13GeV energy with uncertainty about

Gamma-ray selection of DAMPE

\pm1.75\%(stat)\pm1.34\%(sys)

A study of temperature effects on MIP of BGO calorimetersof DAMPE

.

Temperature effects on MIPs in the BGO calorimeters of DAMPE

A software framework has been developed for the DArk Matter Particle Explorer (DAMPE) mission, a satellite based experiment. The software framework of DAMPE is mainly written in C++, while the application under this framework is steered in Python script. The framework is comprised of four principal parts: event data module which contains all reconstruction and simulation information based on ROOT input/output (I/O) streaming; a collection of processing models which are used to process each event data, called as algorithms; service module, a series of common tools which provide general functionalities like data communication between algorithms; and event filters. This article presents an overview of the DAMPE offline software framework, and the major architecture design choices during the development. The whole system has been applied to DAMPE data analysis successfully, based on which some results from simulation and beam test experiments are also shown in this article.