activity
20182025
most citedDust size and spatial distributions in debris discs: predictions for exozodiacal dust dragged in from an exo-Kuiper belt

28 citations · 92 across the 5 of their papers we have counts for

collaborators

6 papers

astro-ph.EP2025

Theory of Exozodi Sources and Dust Evolution

Mark C. Wyatt, Tim D. Pearce, Nicole Pawellek +5

Exozodiacal dust disks (exozodis) are populations of warm (~300K) or hot (~1000K) dust, located in or interior to a star's habitable zone, detected around ~25% of main-sequence sta…

astro-ph.EP2024★ 25 cited

Cosmic dust fertilization of glacial prebiotic chemistry on early Earth

Craig R. Walton, Jessica K. Rigley, Alexander Lipp +5

Earth's surface is deficient in available forms of many elements considered limiting for prebiotic chemistry. In contrast, many extraterrestrial rocky objects are rich in these sam…

astro-ph.EP2021★ 26 cited

Comet fragmentation as a source of the zodiacal cloud

Jessica K. Rigley, Mark C. Wyatt

Models of the zodiacal cloud's thermal emission and sporadic meteoroids suggest Jupiter-family comets (JFCs) as the dominant source of interplanetary dust. However, comet sublimati…

astro-ph.EP2021★ 13 cited

The HOSTS survey: evidence for an extended dust disk and constraints on the presence of giant planets in the Habitable Zone of Leo

D. Defrère, P. M. Hinz, G. M. Kennedy +38

The young (50-400 Myr) A3V star Leo is a primary target to study the formation history and evolution of extrasolar planetary systems as one of the few stars with known hot ($\s…

astro-ph.EP2020★ 28 cited

Dust size and spatial distributions in debris discs: predictions for exozodiacal dust dragged in from an exo-Kuiper belt

Jessica K. Rigley, Mark C. Wyatt

The SEDs of some nearby stars show mid-infrared excesses from warm habitable zone dust, known as exozodiacal dust. This dust may originate in collisions in a planetesimal belt befo…

cs.CV2018

Learning to Drive from Simulation without Real World Labels

Alex Bewley, Jessica Rigley, Yuxuan Liu +4

Simulation can be a powerful tool for understanding machine learning systems and designing methods to solve real-world problems. Training and evaluating methods purely in simulatio…