activity
20182026
most citedOverview of the DESI Legacy Imaging Surveys

1.9k citations · 2.1k across the 34 of their papers we have counts for

collaborators

37 papers

astro-ph.EP2026

The size and mass distribution of cold classical TNOs for

Gary M. Bernstein, Wesley C. Fraser, Marielle R. Eduardo +7

The cold classical trans-Neptunian objects (CCs) are the only observable \textit{in situ} population of planetesimal remnants believed to have escaped collisional grinding. Recent…

astro-ph.EP2026★ 1 cited

The Luminosity Function of Ultra-Faint Trans-Neptunian Objects Detected by JWST

Marielle R. Eduardo, Anastasia N. Morgan, Wesley C. Fraser +8

We present a definitive discovery of 27 trans-Neptunian objects (TNOs) using the Near-Infrared Camera (NIRCam) aboard the James Webb Space Telescope (JWST). By employing a shift-an…

astro-ph.EP2026★ 1 cited

Combined JWST and HST Deep Imaging to Characterize the Smallest Known Trans-Neptunian Objects

Anastasia N. Morgan, Marielle R. Eduardo, David E. Trilling +9

We present optical-near-infrared (NIR) color measurements for small ( km) Trans-Neptunian Objects (TNOs) using coordinated and nearly simultaneous observations from the Ja…

astro-ph.EP2026

Optical Colors as Compressed Spectral Information for Trans-Neptunian Objects

Hsing-Wen Lin, Larissa Markwardt, Kevin Napier +3

Broadband optical colors have long been recognized as tracers of the surface spectral properties of trans-Neptunian objects (TNOs), yet their relationship to near-infrared (NIR) sp…

astro-ph.EP2026★ 1 cited

Probabilistic Spectral Reconstruction of Trans-Neptunian Objects from Sparse Photometry: A Framework for Taxonomy, Survey Optimization, and Outlier Detection

Hsing Wen Lin, Larissa Markwardt, Kevin J. Napier +3

Near-infrared (near-IR) spectroscopy provides critical constraints on the surface composition of trans-Neptunian objects (TNOs), but spectroscopic observations remain limited compa…

astro-ph.EP2026

You Only Stack Once (YOSO): A Motion-Filtered, Deep-Learning Framework for Detecting Faint Moving Sources

Nitya Pandey, César Fuentes, Pedro Bernardinelli +15

We present You Only Stack Once (YOSO), an automated pipeline designed to detect faint, slow-moving Solar System objects in wide-field astronomical surveys. The pipeline integrates…