Work

Emulators for stellar profiles in binary population modeling

Year: 2025

Type: article

Source: Astronomy and Computing

DOI: 10.1016/j.ascom.2025.100935

Authors: Elizabeth Teng, Ugur Demir, Zoheyr Doctor, Philipp M. Srivastava, Shamal Lalvani, Vicky Kalogera, Aggelos Katsaggelos, Jeff J. Andrews, Simone S. Bavera, Max M. Briel, Seth Gossage, Konstantinos Kovlakas, Matthias U. Kruckow, Kyle Akira Rocha, Meng Sun, Zepei Xing, Emmanouil Zapartas

Institutions: Northwestern University, NSF-Simons AI Institute for the Sky, University of Florida, University of Geneva, Institute of Space Sciences, Institut d'Estudis Espacials de Catalunya, Universitat Politècnica de Catalunya, Foundation for Research and Technology Hellas

Language: English

Topic: Stellar, planetary, and galactic studies

Subfield: Astronomy and Astrophysics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

Funders: National Science Foundation, National Aeronautics and Space Administration, Simons Foundation, Gordon and Betty Moore Foundation, Northwestern University, Space Telescope Science Institute, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, China Scholarship Council, Université de Genève, Hellenic Foundation for Research and Innovation, Office of the Provost, University of South Carolina

Awards: G103270039, G2205776342, G256731684, Compact-Object-Formation Forensics in the Era of Gravitational Waves, NSF-Simons AI Institute for the Sky (SkAI Institute), Which Stars Lead to Black Hole Collisions?, G580951548, G5859628442, Transforming Binary-Star Simulations Across Astrophysics, G6476946956, GW-Learn: Deciphering the Gravitation-Wave Universe using the Next-Generation Observatories and Machine Learning

OpenAlex ID: W4403573364

FWCI: 1.767

Cites: 61

Cited by: 4

Related to: 10