The Eclipsing Binaries via Artificial Intelligence. II. Need for Speed in PHOEBE Forward Models
In modern astronomy, the quantity of data collected has vastly exceeded the capacity for manual analysis, necessitating the use of advanced artificial intelligence (AI) techniques to assist scientists with the most labor-intensive tasks. AI can optimize simulation codes where computational bottlenec...
Saved in:
Main Authors: | Marcin Wrona, Andrej Prša |
---|---|
Format: | Article |
Language: | English |
Published: |
IOP Publishing
2025-01-01
|
Series: | The Astrophysical Journal Supplement Series |
Subjects: | |
Online Access: | https://doi.org/10.3847/1538-4365/ada4ae |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The Secondary Component of the Extremely Low Mass Ratio Massive Binary HD 165246 Revealed by GHOST
by: C. N. Rodriguez, et al.
Published: (2025-01-01) -
Minute-cadence Observations of the LAMOST Fields with the TMTS. VI. Physical Parameters of Contact Binaries
by: Qiqi Xia, et al.
Published: (2025-01-01) -
Continuous Gravitational Waves from Thermal Mountains on Accreting Neutron Stars: Effect of the Nuclear Pasta Phase
by: Hong-Bo Li, et al.
Published: (2025-01-01) -
Bayesian Pulsar Timing and Noise Analysis with Vela.jl: An Overview
by: Abhimanyu Susobhanan
Published: (2025-01-01) -
GR-Athena++: General-relativistic Magnetohydrodynamics Simulations of Neutron Star Spacetimes
by: William Cook, et al.
Published: (2025-01-01)