S. Chang

collaborators

2 papers

astro-ph.CO2025

Human vs. machine -- 1:3. Joint analysis of classical and ML-based summary statistics of the Lyman- $I^\pm$ forest

S. Chang, P. Nayak, M. Walther +1

In order to compress and more easily interpret Lyman- $I^\pm$ forest (Ly $I^\pm$ F) datasets, summary statistics, e.g. the power spectrum, are commonly used. However, such summaries unavoid…

astro-ph.HE2025

Limits on the Ejecta Mass During the Search for Kilonovae Associated with Neutron Star-Black Hole Mergers: A case study of S230518h, GW230529, S230627c and the Low-Significance Candidate S240422ed

M. Pillas, S. Antier, K. Ackley +78

Neutron star-black hole (NSBH) mergers, detectable via their gravitational-wave (GW) emission, are expected to produce kilonovae (KNe). Four NSBH candidates have been identified an…

Human vs. machine -- 1:3. Joint analysis of classical and ML-based summary statistics of the Lyman-I^± forest

Limits on the Ejecta Mass During the Search for Kilonovae Associated with Neutron Star-Black Hole Mergers: A case study of S230518h, GW230529, S230627c and the Low-Significance Candidate S240422ed

Human vs. machine -- 1:3. Joint analysis of classical and ML-based summary statistics of the Lyman- $I^\pm$ forest