China releases first batch of gamma photon data from dark matter explorer

(Xinhua) 11:14, September 09, 2021

Photo taken on Nov. 2, 2017 shows Chang Jin, chief scientist of Dark Matter Particle Explorer (DAMPE) and vice director of the Purple Mountain Observatory (PMO), introducing the science achievement of DAMPE at the PMO in Nanjing, capital of east China's Jiangsu Province. (Xinhua/Jin Liwang)

BEIJING, Sept. 8 (Xinhua) -- China has released the first batch of gamma photon data obtained by the Dark Matter Particle Explorer (DAMPE), according to Science and Technology Daily on Wednesday.

The National Space Science Data Center (NSSDC) and the Purple Mountain Observatory (PMO) of the Chinese Academy of Sciences Tuesday released the scientific data collected by the DAMPE, also known as Wukong or Monkey King.

According to the PMO, Wukong's satellite platform and payload have been working normally. It has finished the full-sky scan 11 times and collected about 10.7 billion cases of high-energy cosmic rays, obtaining the most accurate measurement results of cosmic-ray electrons, protons and helium nuclei above the trillion electron volts energy region.

The released data were recorded from Jan. 1, 2016, to Dec. 31, 2018, including 99,864 cases of gamma photon data and 1,096 records of related satellite status files. They can be accessed from the NSSDC and the PMO.

The NSSDC and the PMO said they will release more scientific data of gamma photons, carry out data analysis, and develop application technologies and tools.

Wukong was launched on Dec. 17, 2015, to observe the energy spectra of high-energy electrons, including positrons, and gamma rays in space to find evidence of the existence of dark matter particles. It also has carried out research on the origin of cosmic-ray and gamma-ray astronomy.

Wukong's payload has four parts: a plastic scintillator array detector, a silicon array detector, a calorimeter, and a neutron detector. It has extremely high energy resolution in gamma-ray observation and is expected to better study dark matter. 

(Web editor: Xia Peiyao, Liang Jun)


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