6 citations · 7 across the 11 of their papers we have counts for
30 papers
Unified remnant models for aligned-spin, precessing, and eccentric binary black hole mergers
Tousif Islam, Digvijay Wadekar, Gaurav Khanna
Using approximately numerical-relativity (NR) simulations spanning mass ratios up to and black-hole-perturbation-theory (BHPT) simulations extending to $q=100…
The diffraction-lensing interpretation of GW231123 with astrophysical priors
Mark Ho-Yeuk Cheung, Digvijay Wadekar, Matias Zaldarriaga +3
GW231123, if unlensed, is a rare binary black hole merger with high masses and high spins for both progenitors. We show that the signal is better fitted by a lower-mass, lower-spin…
Deep Learning for Astrophysics: An Open Textbook from the NASA Cosmic Origins AI/ML Science and Technology Interest Group
Yuan-Sen Ting, Digvijay Wadekar, Phill Cargile +21
Recent community assessments identify education as a principal barrier to adopting modern machine learning in astronomy. We present Deep Learning for Astrophysics, a freely availab…
HI Simulations for Cosmology with the SKA Observatory
Tommaso Ronconi, Gabriella De Lucia, Marta Spinelli +15
We present a comparative overview of state-of-the-art methods for modelling the distribution of neutral hydrogen (HI) in the post-reionization Universe, developed in preparation fo…
Progenitor of the recoiling super-massive black hole RBH-1 identified using HST/JWST imaging
Tousif Islam, Tejaswi Venumadhav, Digvijay Wadekar
Using a combination of \textit{Hubble Space Telescope} and \textit{James Webb Space Telescope} imaging, a runaway supermassive black hole (RBH-1) was recently identified with an in…
Accurate models for recoil velocity distribution in black hole mergers with comparable to extreme mass-ratios and their astrophysical implications
Tousif Islam, Digvijay Wadekar
Modeling the remnant recoil velocity (kick) distribution from binary black hole mergers is crucial for understanding hierarchical mergers in active galactic nuclei or globular clus…