collaborators

6 papers

astro-ph.HE2026

A Real-Time Jet Laboratory in Swift J1727.8-1613

Callan M. Wood, James C. A. Miller-Jones, Arash Bahramian +16

We present the results of our intensive VLBI campaign on the black-hole low-mass X-ray binary (LMXB) Swift J1727.8-1613 during its 2023-2024 outburst. We observed the repeated quen…

astro-ph.HE2026

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…

astro-ph.HE2025

The peculiar hard state behaviour of the black hole X-ray binary Swift J1727.81613

A. K. Hughes, F. Carotenuto, T. D. Russell +37

Tracking the correlation between radio and X-ray luminosities during black hole X-ray binary outbursts is a key diagnostic of the coupling between accretion inflows (traced by X-ra…

astro-ph.HE2025

Comprehensive Radio Monitoring of the Black Hole X-ray Binary Swift J1727.81613 during its 20232024 Outburst

Andrew K. Hughes, Francesco Carotenuto, Thomas D. Russell +39

This work presents comprehensive multi-frequency radio monitoring of the black hole low-mass X-ray binary Swift J1727.81613, which underwent its first recorded outburst after it…

astro-ph.HE2025

The Ejection of Transient Jets in Swift J1727.8-1613 Revealed by Time-Dependent Visibility Modelling

Callan M. Wood, James C. A. Miller-Jones, Arash Bahramian +14

High angular resolution radio observations of relativistic jets are necessary to understand the causal connection between accretion and jet ejection in low mass X-ray binaries. Ima…

astro-ph.HE2025

Representation Learning for Time-Domain High-Energy Astrophysics: Discovery of Extragalactic Fast X-ray Transient XRT 200515

Steven Dillmann, Juan Rafael Martínez-Galarza, Roberto Soria +2

We present a novel representation learning method for downstream tasks like anomaly detection, unsupervised classification, and similarity searches in high-energy data sets. This e…