English

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

High Energy Astrophysical Phenomena 2024-04-03 v1

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 a 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 logNlogS\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.

Keywords

Cite

@article{arxiv.2404.02061,
  title  = {SRG/ART-XC Galactic Bulge deep survey. I. Maximum likelihood source detection algorithm for X-ray surveys},
  author = {A. Semena and A. Vikhlinin and I. Mereminskiy and A. Lutovinov and A. Tkachenko and I. Lapshov and R. Burenin},
  journal= {arXiv preprint arXiv:2404.02061},
  year   = {2024}
}

Comments

10 pages, 6 figures. submitted to MNRAS

R2 v1 2026-06-28T15:41:53.574Z