Published November 10, 2011 | Version v1
Journal article

THE MASS DISTRIBUTION OF STELLAR-MASS BLACK HOLES

  • 1. Northwestern University Center for Interdisciplinary Exploration and Research in Astrophysics, 2145 Sheridan Rd., Evanston, IL 60208 (United States)
  • 2. Department of Astrophysics, Yale University, P. O. Box 208101, New Haven, CT 06520 (United States)
  • 3. Kavli Institute, Massachusetts Institute of Technology, Cambridge, MA 02139 (United States)

Description

We perform a Bayesian analysis of the mass distribution of stellar-mass black holes using the observed masses of 15 low-mass X-ray binary systems undergoing Roche lobe overflow and 5 high-mass, wind-fed X-ray binary systems. Using Markov Chain Monte Carlo calculations, we model the mass distribution both parametrically—as a power law, exponential, Gaussian, combination of two Gaussians, or log-normal distribution—and non-parametrically—as histograms with varying numbers of bins. We provide confidence bounds on the shape of the mass distribution in the context of each model and compare the models with each other by calculating their relative Bayesian evidence as supported by the measurements, taking into account the number of degrees of freedom of each model. The mass distribution of the low-mass systems is best fit by a power law, while the distribution of the combined sample is best fit by the exponential model. This difference indicates that the low-mass subsample is not consistent with being drawn from the distribution of the combined population. We examine the existence of a 'gap' between the most massive neutron stars and the least massive black holes by considering the value, M1%, of the 1% quantile from each black hole mass distribution as the lower bound of black hole masses. Our analysis generates posterior distributions for M1%; the best model (the power law) fitted to the low-mass systems has a distribution of lower bounds with M1%>4.3 Msun with 90% confidence, while the best model (the exponential) fitted to all 20 systems has M1%>4.5 Msun with 90% confidence. We conclude that our sample of black hole masses provides strong evidence of a gap between the maximum neutron star mass and the lower bound on black hole masses. Our results on the low-mass sample are in qualitative agreement with those of Ozel et al., although our broad model selection analysis more reliably reveals the best-fit quantitative description of the underlying mass distribution. The results on the combined sample of low- and high-mass systems are in qualitative agreement with Fryer and Kalogera, although the presence of a mass gap remains theoretically unexplained.

Availability note (English)

Available from http://dx.doi.org/10.1088/0004-637X/741/2/103

Additional details

Identifiers

Publishing Information

Journal Title
Astrophysical Journal
Journal Volume
741
Journal Issue
2
Journal Page Range
[19 p.]
ISSN
0004-637X
CODEN
ASJOAB

INIS

Country of Publication
United States
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
43091337
Subject category
S79: ASTROPHYSICS, COSMOLOGY AND ASTRONOMY;
Descriptors DEI
BLACK HOLES; DATA ANALYSIS; DEGREES OF FREEDOM; MARKOV PROCESS; MASS DISTRIBUTION; MONTE CARLO METHOD; NEUTRON STARS; ROCHE EQUIPOTENTIALS
Descriptors DEC
CALCULATION METHODS; DISTRIBUTION; POTENTIALS; SPATIAL DISTRIBUTION; STARS; STOCHASTIC PROCESSES