57 citations · 65 across the 14 of their papers we have counts for
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Flexible Proposal Distributions for Gravitational-Wave Population Inference with Gaussian Mixture Models
Simon M. C. Yeung, Ignacio Magaña Hernandez, Jolien Creighton
Population analyses of gravitational-wave (GW) sources use hierarchical Bayesian inference to constrain astrophysical models while accounting for selection effects. The likelihood…
Normalizing Flow Emulator for Gravitational Wave Detection Probability in the LIGO/Virgo/KAGRA O4 Observing Run
Julius Gassert, Ignacio Magaña Hernandez, Ariel J. Amsellem +2
Efficient and accurate estimation of the detection probability of a gravitational wave event given its source parameters remains a challenging problem because it conventionally req…
One Year and One Night to 1% in : Efficient Spectroscopic Strategy for Dark Siren Cosmology
Yixuan Dang, Ariel J. Amsellem, Ignacio Magaña Hernandez +2
Gravitational-wave events from compact binary coalescences (CBCs) can be used as standard sirens: they encode the luminosity distance to their sources, which yields a measurement o…
Electromagnetic Follow-up of the Sub-Solar Mass Gravitational Wave Candidate S251112cm: Kilonova Constraints and a Coincident IIb Supernova
Xander J. Hall, Tomas Ahumada, Julius Gassert +25
On November 12th, 2025 the LIGO--Virgo--KAGRA (LVK) collaboration reported gravitational waves (GWs) from a compact object merger candidate (S251112cm) with at least one sub-solar…
Wide Jets or Low Rates: Reconciling Short GRB and Gravitational-Wave Neutron Star Merger Rates
Keerthi Kunnumkai, Antonella Palmese, Brendan O'Connor +2
Gravitational wave (GW) and short Gamma Ray Burst (sGRB) observations provide us with complementary views of compact object mergers. The paucity of binary neutron star merger (BNS)…
Data-Driven Trends and Subpopulations in the Gravitational Wave Binary Black Hole Merger Population with UMAP
A. J. Amsellem, I. Magaña Hernandez, A. Palmese +1
The rapidly expanding Gravitational-Wave Transient Catalog (GWTC) necessitates the development of model-independent techniques to uncover trends and subpopulations within the binar…