9 citations · 17 across the 4 of their papers we have counts for
4 papers
Speeding up Gravitational Lens Mass Models with Machine Learning: Applications in X-ray Astronomy
Alex Ostridge, Rafael Martínez-Galarza, Júlia M. Sisk-Reynés +2
Multi-wavelength observations of quadruply lensed quasars constitute a powerful probe of cosmology, dark matter substructure along the line of sight, and the structure of X-ray emi…
From Images to Physics: Probabilistic Inference of Galaxy Parameters and Emission Lines via VAE & Normalizing Flows
Adiba Amira Siddiqa, Sayed Shafaat Mahmud, Rafael Martinez-Galarza
We introduce a Variational Autoencoder (VAE)--Normalizing Flow (NF) framework for rapid probabilistic inference of galaxy properties and emission line fluxes at from S…
Representation Learning for Time-Domain High-Energy Astrophysics: Discovery of Extragalactic Fast X-ray Transient XRT 200515
Steven Dillmann, Juan Rafael Martínez-Galarza, Roberto Soria +2
We present a novel representation learning method for downstream tasks like anomaly detection, unsupervised classification, and similarity searches in high-energy data sets. This e…
Disentangling the AGN and Star-Formation Contributions to the Radio-X-ray Emission of Radio-Loud Quasars at 1<z<2
Mojegan Azadi, Belinda Wilkes, Joanna Kuraszkiewicz +12
We constrain the emission mechanisms responsible for the prodigious electromagnetic output generated by active galactic nuclei (AGN) and their host galaxies with a novel state-of-t…