SRG/ART-XC Galactic Bulge deep survey. I. Maximum likelihood source detection algorithm for X-ray surveys

Author:

Semena A1ORCID,Vikhlinin A21,Mereminskiy I1ORCID,Lutovinov A1,Tkachenko A1,Lapshov I1,Burenin R1

Affiliation:

1. Space Research Institute RAS , 84/32 Profsoyuznaya str, Moscow 117997 , Russia

2. Harvard-Smithsonian Center for Astrophysics , 60 Garden Street, Cambridge, MA 02138 , USA

Abstract

ABSTRACT We describe an X-ray source detection method entirely based on the maximum likelihood analysis, in application to observations with the ART-XC telescope onboard the Spectrum Roentgen Gamma observatory. The method optimally combines the data taken at different conditions, a situation commonly found in scanning surveys or mosaic observations with a telescope with a significant off-axis PSF distortion. The method can be naturally extended to include additional information from the X-ray photon energies, detector grades, etc. The likelihood-based source detection naturally results in an optimal use of available information for the sources detection and stable and uniform definition of detection thresholds under different observing conditions (PSF, background level). This greatly simplifies the statistical calibration of the survey needed to, e.g. obtain the $\log N - \log S$ distribution of detected sources or their luminosity function. The method can be applied to the data from any imaging X-ray telescope.

Funder

Russian Academy of Sciences

Publisher

Oxford University Press (OUP)

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