ESO 243-49 HLX-1: scaling of X-ray spectral properties and black hole mass determination
Lev Titarchuk (University of Ferrara, Italy, MePhi, Moscow, Russia), and Elena Seifina (Moscow State University, Moscow, Russia)

TL;DR
This study analyzes Swift/XRT data of ESO 243-49 HLX-1, revealing spectral state transitions, estimating a black hole mass of about 70,000 solar masses through spectral correlations, and confirming its nature as an intermediate-mass black hole.
Contribution
The paper provides the first detailed spectral analysis and black hole mass estimation of ESO 243-49 HLX-1 using the Gamma-dot M correlation and scaling methods, confirming its intermediate-mass black hole status.
Findings
Spectral transitions from low/hard to high/soft states observed.
Black hole mass estimated at approximately 7 x 10^4 solar masses.
Gamma saturation level at 3.0 +/- 0.1 supports black hole identification.
Abstract
We report the results of Swift/XRT observations (2008-2015) of a hyper-luminous X-ray source, ESO 243-49 HLX-1. We found a strong observational evidence that ESO 243-49 HLX-1 underwent spectral transitions from the low/hard state to the high/soft state during these observations. The spectra of ESO 243-49 HLX-1 are well fitted by the so-{called} bulk motion Comptonization model for all spectral states. We have established the photon index Gamma saturation level, Gamma_{sat}$=3.0+/-0.1, in the correlation of Gamma versus mass accretion rate dot M. This Gamma-dot M correlation allows us to estimate the black hole (BH) mass in ESO 243-49 HLX-1 to be M_{BH}~ 7x 10^4 solar masses, assuming the distance to ESO 243-49 of 95 Mpc. For the BH mass estimate we used the scaling method, taking Galactic BHs XTE~J1550-564, H~1743-322 and 4U~1630-472, and an extragalactic BH source, M101 ULX-1 as…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
