activity
20132026
most citedDisk-jet coupling in the 2017/2018 outburst of the Galactic black hole candidate X-ray binary MAXI J1535-571

113 citations · 878 across the 74 of their papers we have counts for

collaborators

83 papers

astro-ph.HE2026

mm-jets in the multi-messenger era

Karri I. I. Koljonen, Thomas D. Russell, Britton Jeter +16

Jets and outflows operate across the full cosmic mass scale from young stellar objects (YSOs) and X-ray binaries (XRBs) to active galactic nuclei (AGN), gamma-ray bursts (GRBs), an…

astro-ph.HE2026

The compact jets of the black hole X-ray binary Swift J1753.5-0127 during its 2023-2024 outburst

Noa Grollimund, Stéphane Corbel, Lauren Rhodes +14

X-ray binaries are excellent laboratories to study the coupling between accretion and ejection phenomena around compact objects through multiwavelength observations. Swift J1753.5-…

astro-ph.HE2026

Two sides of the same spin: tracking optical and radio pulsations of SAX J1808.4-3658 from outburst to quiescence

C. Ballocco, A. Miraval Zanon, A. Papitto +25

High-time-resolution optical and UV observations have revealed bright coherent pulsations from accreting millisecond pulsars, exceeding the luminosity expected from thermal emissio…

astro-ph.HE2026

Scaling Up: A Global Optical/X-ray Correlation For Reprocessing Across Black Hole Masses

Changhyun Cho, David M. Russell, Aaryan Sharma +9

This study extends the optical/X-ray correlation from black hole low-mass X-ray binaries (XRBs) to active galactic nuclei (AGN), bridging scales from stellar-mass to supermassive b…

astro-ph.HE2026

Accreting Neutron Stars in Low-Mass X-ray Binaries

M. C. Baglio, S. E. Motta, A. P. Nitindala +1

Neutron star low-mass X-ray binaries (NS LMXBs) are systems in which a neutron star accretes matter from a Roche-lobe-filling companion via an accretion disc, releasing gravitation…

cs.LG2026

CHASE: Channel-Aligned Structure Exploitation for Geometry-Aware Model Engineering

Wei Wang, Wei Jiang, Ziran Liu

Geometric and Spectral Alignment (GSA) characterizes trained networks through spectral concentration, physical-channel alignment, support structure, and changes in singular bases.…