3.6k citations · 32.7k across the 157 of their papers we have counts for
159 papers
Transferability of Photometric Redshifts Determined using Machine Learning
Lara Janiurek, Martin A. Hendry, Fiona C. Speirits
In this work the random forest algorithm GALPRO is implemented to generate photometric redshift posteriors, and its performance when trained and then applied to data from another s…
Impact of weak lensing on bright standard siren analyses
Charlie T. Mpetha, Giuseppe Congedo, Andy Taylor +1
Gravitational waves from binary mergers at cosmological distances will experience weak lensing by large scale structure. This causes a (de-)magnification, , of the wave amplitud…
Inferring properties of dark galactic halos using strongly lensed gravitational waves
Eungwang Seo, Tjonnie Guan Feng Li, Martin Anthony Hendry
Gravitational waves (GWs) can be deflected, similarly to electromagnetic (EM) waves, by massive objects through the phenomenon of gravitational lensing. The importance of gravitati…
Rapid Generation of Kilonova Light Curves Using Conditional Variational Autoencoder
Surojit Saha, Michael J. Williams, Laurence Datrier +8
The discovery of the optical counterpart, along with the gravitational waves from GW170817, of the first binary neutron star merger, opened up a new era for multi-messenger astroph…
Cosmological Inference using Gravitational Waves and Normalising Flows
Federico Stachurski, Christopher Messenger, Martin Hendry
We present a machine learning approach using normalising flows for inferring cosmological parameters from gravitational wave events. Our methodology is general to any type of compa…
Determination of Lens Mass Density Profile from Strongly-Lensed Gravitational-Wave Signals
Mick Wright, Justin Janquart, Martin Hendry
As the interferometers detecting gravitational waves are upgraded, improving their sensitivity, the probability of observing strong lensing increases. Once a detection is made, it…