6 papers
Speeding up Gravitational Lens Mass Models with Machine Learning: Applications in X-ray Astronomy
Alex Ostridge, Rafael MartÃnez-Galarza, Júlia M. Sisk-Reynés +2
Multi-wavelength observations of quadruply lensed quasars constitute a powerful probe of cosmology, dark matter substructure along the line of sight, and the structure of X-ray emi…
Spin Demographics of Active Supermassive Black Holes: Updated Estimates from X-ray reflection and Future opportunities
Julia M. Sisk-Reynes, Christopher S. Reynolds, James H. Matthews +5
Understanding the growth of supermassive black holes (SMBHs) requires observational constraints on how their angular momentum (or spin) varies with mass, since the relative importa…
Determining the spatial origin of X-ray and optical emission in the strongly lensed radio-quiet quasar GraL J065904.1+162909 to hundreds of parsecs
Julia Sisk-Reynes, Daniel Schwartz, Anna Barnacka +2
We perform milliarcsecond X-ray astrometry of the quadruply lensed radio-quiet quasar GraL J065904.1+162909 (J0659). This quasar is lensed into four images and was disc…
The Advanced X-ray Imaging Satellite (AXIS) Community Science Book
Michael Koss, Nafisa Aftab, Steven W. Allen +395
The AXIS Community Science Book represents the collective effort of 592 scientists worldwide to define the transformative science enabled by the Advanced X-ray Imaging Satellite (A…
Evidence for Supermassive Black Hole Binaries
Martin G. H. Krause, Martin A. Bourne, Silke Britzen +10
We review the state of the evidence for the existence and observational appearance of supermassive black hole binaries. Such objects are expected from standard hierarchical galaxy…
Getting More Out of Black Hole Superradiance: a Statistically Rigorous Approach to Ultralight Boson Constraints from Black Hole Spin Measurements
Sebastian Hoof, David J. E. Marsh, Júlia Sisk-Reynés +2
Black hole (BH) superradiance can provide strong constraints on the properties of ultralight bosons (ULBs). While most of the previous work has focused on the theoretical predictio…