collaborators

8 papers

cond-mat.str-el2026

Emergent Symmetry-Protected Topological Phases via Polyakov Confinement in Quantum Spin Systems

Li-Wei He, Shun-Li Yu, Jian-Xin Li

A main theme in modern condensed matter physics is the emergence of fractionalized excitations and gauge structures from quantum spin systems. However, understanding how these exot…

astro-ph.IM2026

Building a Roadmap for Hubble Science into the 2030s: Revealing Atmospheric Structure and Evolution in Substellar Worlds Using HST

Allison M. McCarthy, Merle A. Schrader, Johanna M. Vos +15

Substellar objects occupy a unique place in our universe, bridging the gap between the smallest stars and the largest planets, and serving as powerful laboratories for understandin…

astro-ph.SR2026

Three Thousand Motion-Confirmed L and T Dwarf Candidates from the Backyard Worlds:~Planet 9 Citizen Science Project

Adam C. Schneider, Marc J. Kuchner, Jacqueline K. Faherty +73

The Backyard Worlds: Planet 9 citizen science project uses data from the Wide-field Infrared Survey Explorer to detect infrared objects with significant motion. In this work, we pr…

astro-ph.SR2026

Clouds with a silicate lining: Using JWST spectra to probe atmospheric diversity in young AB Dor L dwarfs

M. B. Lam, J. M. Vos, G. Suárez +13

We present the first full JWST NIRSpec Prism and MIRI LRS 0.6 - 14 m (R ~ 100) spectra and analysis of five ~ 133 Myr L dwarf members of the AB Doradus moving group and one pro…

astro-ph.SR2025

A search for late-type brown dwarfs in the Euclid Quick Data Release 1

Frank Kiwy, J. Davy Kirkpatrick, Adam C. Schneider +9

We present the identification and characterization of 15 mid-to-late T dwarf candidates in the Euclid Quick Release 1 (Q1) dataset, based on a combined photometric and spectroscopi…

astro-ph.SR2025

Identifying and Characterizing Very Low Mass Spectral Blend Binaries with Machine Learning Methods

Juan Diego Draxl Giannoni, Malina Desai, Adam J. Burgasser +5

We present an approach to identifying and characterizing unresolved, very low mass spectral blend binaries composed of late-M, L, and T dwarfs using machine learning methodologies.…