Calibrating X-ray binary luminosity functions via optical reconnaissance I. The case of M83
Qiana Hunt, Elena Gallo, Rupali Chandar, Paula Johns Mulia, Angus Mok,, Andrea Prestwich, Shengchen Liu

TL;DR
This study introduces a novel optical classification method for X-ray binaries in galaxy M83, revealing distinct luminosity function shapes and contributions from different donor mass classes, with implications for understanding X-ray source populations.
Contribution
The paper presents a new approach using optical data to classify X-ray binaries and models their luminosity functions with Schechter functions, improving upon previous X-ray based classifications.
Findings
High-mass XRBs show a marginal exponential cutoff in their XLF.
Low- and intermediate-mass XRBs are consistent with a single power-law XLF.
Low- and possibly intermediate-mass XRBs contribute 20-50% to the total XLF.
Abstract
Building on recent work by Chandar et al. (2020), we construct X-ray luminosity functions (XLFs) for different classes of X-ray binary (XRB) donors in the nearby star-forming galaxy M83 through a novel methodology: rather than classifying low- vs. high-mass XRBs based on the scaling of the number of X-ray sources with stellar mass and star formation rate, respectively, we utilize multi-band Hubble Space Telescope imaging data to classify each Chandra-detected compact X-ray source as a low-mass (i.e. donor mass <~ 3 solar masses), high-mass (donor mass >~ 8 solar masses) or intermediate-mass XRB based on either the location of its candidate counterpart on optical color-magnitude diagrams or the age of its host star cluster. In addition to the the standard (single and/or truncated) power-law functional shape, we approximate the resulting XLFs with a Schechter function. We identify a…
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