305 citations · 1.1k across the 49 of their papers we have counts for
51 papers
How AI Agents Discover Scientific Equations: From Hydrotope Rediscovery to New Water-Wave Amplitudes
Zihan Zhou, Digvijay Wadekar, Matias Zaldarriaga
We study how AI agents discover and validate scientific formulas using a controlled case study of the hydrotope, a recently discovered geometric formula that combines the different…
Using the Circumgalactic Medium of Dwarf Galaxies as a Calorimetric Dark Matter Detector
Abby Mintz, Digvijay Wadekar, Romain Teyssier
Many well-motivated dark matter (DM) scenarios, including dark photon DM, axion-like particles, sterile neutrinos, and primordial black holes, can deposit energy into ordinary matt…
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…