activity
20222025
most citedGIGA-Lens: Fast Bayesian Inference for Strong Gravitational Lens Modeling

33 citations · 42 across the 4 of their papers we have counts for

collaborators

5 papers

astro-ph.CO2025

DESI Strong Lens Foundry III: Keck Spectroscopy for Strong Lenses Discovered Using Residual Neural Networks

Shrihan Agarwal, Xiaosheng Huang, William Sheu +49

We present spectroscopic data of strong lenses and their source galaxies using the Keck Near-Infrared Echellette Spectrometer (NIRES) and the Dark Energy Spectroscopic Instrument (…

astro-ph.CO2025

DESI Strong Lens Foundry I: HST Observations and Modeling with GIGA-Lens

X. Huang, S. Baltasar, N. Ratier-Werbin +56

We present the Dark Energy Spectroscopic Instrument (DESI) Strong Lens Foundry. We discovered new strong gravitational lens candidates in the DESI Legacy Imaging Survey…

astro-ph.GA2023★ 4 cited

Simulation-guided galaxy evolution inference: A case study with strong lensing galaxies

Andreas Filipp, Yiping Shu, Ruediger Pakmor +2

Understanding the evolution of galaxies provides crucial insights into a broad range of aspects in astrophysics, including structure formation and growth, the nature of dark energy…

astro-ph.IM2022★ 33 cited

GIGA-Lens: Fast Bayesian Inference for Strong Gravitational Lens Modeling

A. Gu, X. Huang, W. Sheu +12

We present GIGA-Lens: a gradient-informed, GPU-accelerated Bayesian framework for modeling strong gravitational lensing systems, implemented in TensorFlow and JAX. The three compon…

astro-ph.GA2022★ 5 cited

The Seventeenth Data Release of the Sloan Digital Sky Surveys: Complete Release of MaNGA, MaStar and APOGEE-2 Data

Abdurro'uf, Katherine Accetta, Conny Aerts +337

This paper documents the seventeenth data release (DR17) from the Sloan Digital Sky Surveys; the fifth and final release from the fourth phase (SDSS-IV). DR17 contains the complete…