activity
20232026
most citedDiscovery of a Planar Black Hole Mass Scaling Relation for Spiral Galaxies

10 citations · 24 across the 10 of their papers we have counts for

collaborators
Showing astro-ph.GAShow all

8 papers · 1 filter

astro-ph.GA2026

Causal Reversal in the $M_\unicode{x25CF}\unicode{x2013}σ_0$ Relation: Implications for High-Redshift Supermassive Black Hole Mass Estimates

Benjamin L. Davis, Saakshi More, Zehao Jin +3

The nascent methodology of applying the principles of causal discovery to astrophysical data has produced affirming results about deeply held theories concerning the causal nature…

astro-ph.GA2025

ZTF IC 10 variable catalog

Zehao Jin, Joseph D. Gelfand

To study how massive variable stars effect their environment, we search for variability among Zwicky Transient Facility (ZTF) sources located within the optical extent of a nearby…

astro-ph.GA2024★ 1 cited

Beyond Causal Discovery for Astronomy: Learning Meaningful Representations with Independent Component Analysis

Zehao Jin, Mario Pasquato, Benjamin L. Davis +2

We present the first steps toward applying causal representation learning to astronomy. Following up on previous work that introduced causal discovery to the field for the first ti…

astro-ph.GA2024★ 5 cited

Identification of Intermediate-mass Black Hole Candidates Among a Sample of Sd Galaxies

Benjamin L. Davis, Alister W. Graham, Roberto Soria +4

We analyzed images of every northern hemisphere Sd galaxy listed in the Third Reference Catalogue of Bright Galaxies (RC3) with a relatively face-on inclination (). Speci…

astro-ph.GA2024★ 6 cited

HELLO project: High- Evolution of Large and Luminous Objects

Stefan Waterval, Andrea V. Macciò, Tobias Buck +6

We present the High- Evolution of Large and Luminous Objects (HELLO) project, a set of high-resolution cosmological simulations aimed to study Milky Way analogues ($M…

astro-ph.GA2023★ 1 cited

Causa prima: cosmology meets causal discovery for the first time

Mario Pasquato, Zehao Jin, Pablo Lemos +2

In astrophysics, experiments are impossible. We thus must rely exclusively on observational data. Other observational sciences increasingly leverage causal inference methods, but t…