collaborators

12 papers

astro-ph.HE2026

X-ray Reflection as Diagnostic of Supermassive Black Hole Binary Properties

Julie Malewicz, Tamara Bogdanović, David R. Ballantyne +2

We investigate correlations between prominent features in the relativistic X-ray reflection spectrum emitted by an accreting supermassive black hole (SMBH) binary with the underlyi…

astro-ph.IM2026

Future Detections of the Warm-Hot Intergalactic Medium using Bright Power Law Sources with NewAthena

Joseph Fisher, Antonio Martin-Carrillo, Thomas Dauser +3

Context. Hydrodynamical cosmological simulations based on the -Cold Dark Matter (CDM) model predict that 40% of the baryons in the local Universe are missing. These m…

astro-ph.HE2026

Systematic assessment of disk truncation in the black hole X-ray binary Swift J1727.8-1613 using NICER

Ole König, James F. Steiner, Niek Bollemeijer +20

The 2023/24 NICER monitoring campaign of the 7 Crab bright black hole X-ray binary Swift J1727.8-1613 covered the outburst in almost all accretion states. High-quality data are ava…

astro-ph.HE2026

Constraining black hole spin in PG 1535+547 amidst complex multi-layered absorption

A. Madathil-Pottayil, D. J. Walton, Jiachen Jiang +7

We present a spectroscopic analysis of XMM-Newton and NuSTAR observations of the 'complex' NLS1 PG 1535+547 at redshift . These observations span three epochs: 2002 and 20…

astro-ph.HE2025

Relativistic reflection within an extended hot plasma geometry

Alexey D. Nekrasov, Thomas Dauser, Javier A. Garcia +9

The reflection of X-rays at the inner accretion disk around black holes imprints relativistically broadened features in the observed spectrum. Aside from the black hole properties…

astro-ph.HE2025

The 2025 Failed Outburst of IGR J17091-3624: Spectral Evolution and the Role of Ionized Absorbers

Oluwashina K. Adegoke, Javier A. Garcia, Guglielmo Mastroserio +15

IGR J17091-3624 is the only black hole X-ray binary candidate, aside from the well-studied black hole system GRS 1915+105, observed to exhibit a wide range of structured variabilit…