X-ray reverberation black hole mass and distance estimates of Cygnus X-1

ABSTRACT We fit X-ray reverberation models to Rossi X-ray Timing Explorer data from the X-ray binary Cygnus X-1 in its hard state to yield estimates for the black hole mass and the distance to the system. The rapid variability observed in the X-ray signal from accreting black holes provides a powerful diagnostic to indirectly map the ultra-compact region in the vicinity of the black hole horizon. X-ray reverberation mapping exploits the light crossing delay between X-rays that reach us directly from the hard X-ray emitting ‘corona’, and those that first reflect off the accretion disc. Here, we build upon a previous reverberation mass measurement of Cygnus X-1 that used the reltrans software package. Our new analysis enhances signal to noise with an improved treatment of the statistics, and implements new reltrans models that are sensitive to distance. The reduced uncertainties uncover evidence of mass accretion rate variability in the inner region of the disc that propagates towards the corona, which we approximate as a point-like ‘lamppost’ source. Our best-fitting model returns a mass of $M=15\pm 4 ~M_\odot$ and a distance of $D=3.4_{-1.2}^{+1.6}$ kpc (90 per cent uncertainties), which are consistent with the most recent dynamical and parallax measurements, respectively.

Authors

Institutions

Publication Details

Journal
Monthly Notices of the Royal Astronomical Society
Published
2025-12-17
DOI
https://doi.org/10.1093/mnras/staf2232
Citations
1
Primary Topic
Astrophysical Phenomena and Observations
Type
article
Field-Weighted Citation Impact
1.15

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

X-ray reverberation black hole mass and distance estimates of Cygnus X-1

Adam Ingram, Patrick M. O'Neill, Jake A. J. Mitchell, Matteo Lucchini et al.
1 citations
Monthly Notices of the Royal Astronomical Society
Astrophysical Phenomena and Observations
1.15
article

X-ray reverberation black hole mass and distance estimates of Cygnus X-1

Adam Ingram, Patrick M. O'Neill, Jake A. J. Mitchell, Matteo Lucchini, Edward Nathan, Guglielmo Mastroserio
article en
1 citations

Abstract

ABSTRACT We fit X-ray reverberation models to Rossi X-ray Timing Explorer data from the X-ray binary Cygnus X-1 in its hard state to yield estimates for the black hole mass and the distance to the system. The rapid variability observed in the X-ray signal from accreting black holes provides a powerful diagnostic to indirectly map the ultra-compact region in the vicinity of the black hole horizon. X-ray reverberation mapping exploits the light crossing delay between X-rays that reach us directly from the hard X-ray emitting ‘corona’, and those that first reflect off the accretion disc. Here, we build upon a previous reverberation mass measurement of Cygnus X-1 that used the reltrans software package. Our new analysis enhances signal to noise with an improved treatment of the statistics, and implements new reltrans models that are sensitive to distance. The reduced uncertainties uncover evidence of mass accretion rate variability in the inner region of the disc that propagates towards the corona, which we approximate as a point-like ‘lamppost’ source. Our best-fitting model returns a mass of $M=15\pm 4 ~M_\odot$ and a distance of $D=3.4_{-1.2}^{+1.6}$ kpc (90 per cent uncertainties), which are consistent with the most recent dynamical and parallax measurements, respectively.

Monthly Notices of the Royal Astronomical SocietyVol. 545(4)
California Institute of Technology (US), University of Milan (IT), Leibniz Institute for Astrophysics Potsdam (DE), Astronomical Institute of the Slovak Academy of Sciences (SK), Newcastle University (GB), University of Amsterdam (NL)
Science and Technology Facilities Council
Openalex Percentile: Top 14%
Astrophysical Phenomena and Observations
1.15
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.