Publication

A deep learning method for the gamma-ray identification with the DAMPE space mission

2023

Abstract

This report describes a new Convolutional Neural Network (CNN) model developed for the identification of gamma rays with the calorimeter of the DArk Matter Particle Explorer (DAMPE) mission. Its architecture is optimized in order to enhance the gamma ray/proton separation in the Monte-Carlo (MC) simulation data. Then, the classification performance is analyzed and compared with previously used methods. It is shown that this method significantly outperforms all the existing algorithms, both in gamma-ray efficiency and proton rejection. Finally, the model is successfully tested with the flight data in order to validate its use for further data analyses.

Official source

https://infoscience.epfl.ch/entities/publication/a40f15f3-beef-459d-b732-c7a7505207cf

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2023

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/a40f15f3-beef-459d-b732-c7a7505207cf

About this result

Related concepts (32)

Gamma-ray burst

In gamma-ray astronomy, gamma-ray bursts (GRBs) are immensely energetic explosions that have been observed in distant galaxies. They are the most energetic and luminous electromagnetic events since the Big Bang. Bursts can last from ten milliseconds to several hours. After an initial flash of gamma rays, a longer-lived "afterglow" is usually emitted at longer wavelengths (X-ray, ultraviolet, optical, infrared, microwave and radio).

X-ray astronomy

X-ray astronomy is an observational branch of astronomy which deals with the study of X-ray observation and detection from astronomical objects. X-radiation is absorbed by the Earth's atmosphere, so instruments to detect X-rays must be taken to high altitude by balloons, sounding rockets, and satellites. X-ray astronomy uses a type of space telescope that can see x-ray radiation which standard optical telescopes, such as the Mauna Kea Observatories, cannot.

Gamma-ray astronomy

Gamma-ray astronomy is the astronomical observation of gamma rays, the most energetic form of electromagnetic radiation, with photon energies above 100 keV. Radiation below 100 keV is classified as X-rays and is the subject of X-ray astronomy. In most known cases, gamma rays from solar flares and Earth's atmosphere are generated in the MeV range, but it is now known that gamma rays in the GeV range can also be generated by solar flares. It had been believed that gamma rays in the GeV range do not originate in the Solar System.

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A deep learning method for the gamma-ray identification with the DAMPE space mission

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