activity
20062026
most citedDark Energy Survey Year 1 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing

1.2k citations · 24.2k across the 290 of their papers we have counts for

collaborators

279 papers

astro-ph.IM2026

Multi-sensor fusion for fine-guidance and milliarcsecond-level attitude estimation of balloon-borne telescope

Philippe Voyer, Maya Amit, Steven J. Benton +44

Balloon-borne telescopes rely on fine-guidance systems to achieve milliarcsecond image stability despite residual disturbances from the balloon environment. In these systems, the F…

astro-ph.CO2026

Accurate modeling for 32pt analyses in Roman and Rubin: a study of model approximations

Junzhou Zhang, Chihway Chang, Jiachuan Xu +6

One of the pillars of modern cosmology is the use of galaxy imaging surveys to extract information from the large-scale structure. In recent surveys, this measurement is typically…

astro-ph.CO2026

Constraints on Dynamical Dark Energy from Multiple Probes in the Full Dark Energy Survey

DES Collaboration, T. M. C. Abbott, M. Adamow +166

We present results on dark energy evolution, assuming a time-dependent equation of state , from growth and geometric probes using the full six-year Dark Energy S…

astro-ph.CO2026

Lensing in the Blue III: Weak Lensing Shape Catalogs of 30 Merging Galaxy Clusters

Sayan Saha, Jacqueline E. McCleary, Spencer W. Everett +38

We present the weak gravitational lensing dataset from the Super-pressure Balloon-Borne Imaging Telescope (SuperBIT), which imaged 30 galaxy clusters during its 45 night flight in…

astro-ph.CO2026

Emulation of SPHEREx Galaxy Power Spectra I: Neural Network Details and Optimization

Joseph Adamo, Grace Gibbins, Anne Moore +1

We present neural networks to generate redshift-space galaxy power spectrum multipoles for multiple tracer and redshift bins simultaneously given a set of input cosmology and galax…

astro-ph.GA2026

Learning to See Sharper: A Physics-Informed Artificial Intelligence Framework for Super-Resolving Galaxy Spectra

Aryana Haghjoo, Shoubaneh Hemmati, Bahram Mobasher +7

The information recoverable from galaxy spectra depends fundamentally on spectral resolution, yet assembling large samples at high resolution remains observationally expensive. We…