From the 1 of 6 linked papers with an AI index.
6 papers
A new model for the continuum spectra of AM CVn binaries and multi-messenger inference with normalizing flows
Nathan Steinle, Samar Safi-Harb, Austin MacMaster +5
The paper presents a forward model that connects the physical parameters of AM CVn ultra‑compact binaries to their X‑ray, optical, and ultraviolet continuum emission, and estimates…
Simulation-calibrated Bayesian inference for progenitor properties of the microquasar SS 433
Nathan Steinle, Matthew Mould, Sarah Al-Humaikani +3
SS433 is one of the most extreme Galactic X-ray binaries, launching semi-relativistic jets and showing clear signs of super-critical accretion onto what is likely a black hole.…
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…
Binary Neutron Star Mergers: Multi-Messenger Systematics and Prospects with Next-Generation Facilities
Nathan Steinle, Samar Safi-Harb, Matt Nicholl +2
Multi-messenger astronomy was galvanized by the detection of gravitational waves (GWs) from the binary neutron star (BNS) merger GW170817 and electromagnetic (EM) emission from the…
A multi-messenger window into galactic magnetic fields and black hole mergers with LISA
Anuraag Reddy, Nathan Steinle, Samar Safi-Harb +1
Large-scale (i.e., ) and micro-Gauss scale magnetic fields have been observed throughout the Milky Way and nearby galaxies. These fields depend on the geometry a…
Machine learning classification of black holes in the mass--spin diagram
Nathan Steinle, Samar Safi-Harb
We present the mass--spin diagram for classifying black holes and studying their formation pathways providing an analogue to the Hertzsprung-Russell diagram. This allows for black…