activity
20242026
most citedAn Unsupervised Machine Learning Approach to Identify Spectral Energy Distribution Outliers: Application to the S-PLUS DR4 data

4 citations · 4 across the 3 of their papers we have counts for

collaborators

5 papers

astro-ph.IM2026

AI and The Enclosure of the Scientific Commons

P. K. G. Williams

The scientific literature can be viewed as an "information commons:" an intangible resource that "no one owns and is shared by everyone." There are well-established economic and po…

astro-ph.SR2025★ 4 cited

An Unsupervised Machine Learning Approach to Identify Spectral Energy Distribution Outliers: Application to the S-PLUS DR4 data

F. Quispe-Huaynasi, F. Roig, N. Holanda +12

Identification of specific stellar populations using photometry for spectroscopic follow-up is a first step to confirm and better understand their nature. In this context, we prese…

astro-ph.EP2025

Size-Frequency Distribution of Terrestrial Leftover Planetesimals and S-complex Implanted Asteroids

Rogerio Deienno, Andre Izidoro, David Nesvorny +3

The isotopic composition of meteorites linked to S-complex asteroids has been used to suggest that these asteroids originated in the terrestrial planet's region, i.e., within 1.5 a…

astro-ph.EP2025

Forming Mercury by a grazing giant collision involving similar mass bodies

Patrick Franco, Fernando Roig, Othon C. Winter +3

The origin of Mercury still remains poorly understood compared to the other rocky planets of the Solar System. One of the most relevant constraints that any formation model has to…

astro-ph.EP2024

Catalog of Proper Orbits for 1.25 Million Main Belt Asteroids and Discovery of 136 New Collisional Families

David Nesvorny, Fernando Roig, David Vokrouhlicky +1

The proper elements of asteroids are obtained from the instantaneous orbital elements by removing periodic oscillations produced by gravitational interactions with planets. They ar…