A new approach for extrapolating star flux using cross-matching multiple catalogues
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1.Key Laboratory of Intelligent Infrared Perception , Chinese Academy of Sciences, Shanghai 200083;2.Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China;3.University of Chinese Academy of Sciences, Beijing 100049, China

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Infrared Thermal Imager In Guangmu Geographic Scientific Satellite CASE010102Infrared Thermal Imager In Guangmu Geographic Scientific Satellite(CASE010102)

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    Abstract:

    This paper presents a model for extrapolating flux from cross-matching multiple catalogues combining the data of IRAS, WISE and 2MASS, which used the Planck’s law to extrapolate flux to every band. The model simplifies the extrapolation process, and improves the extrapolation efficiency with a high precision of 3% for 70% of the stars. Our finding is in agreement with the independent long-term observation of the Vega and Sirius star reported by Cohen et al. According to the extrapolation results, more suitable multiple data of stars could be selected for star calibration.

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WANG Yu-Du, SUN Xiao-Jin, ZHANG Heng, CHEN Fan-Sheng. A new approach for extrapolating star flux using cross-matching multiple catalogues[J]. Journal of Infrared and Millimeter Waves,2019,38(4):473~478

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History
  • Received:October 14,2018
  • Revised:May 24,2019
  • Adopted:March 21,2019
  • Online: September 06,2019
  • Published: