no code implementations • 5 Mar 2020 • Michael D. Himes, Joseph Harrington, Adam D. Cobb, Atilim Gunes Baydin, Frank Soboczenski, Molly D. O'Beirne, Simone Zorzan, David C. Wright, Zacchaeus Scheffer, Shawn D. Domagal-Goldman, Giada N. Arney
Machine learning (ML) has recently been shown to provide a significant reduction in runtime for retrievals, mainly by training inverse ML models that predict parameter distributions, given observed spectra, albeit with reduced posterior accuracy.
Instrumentation and Methods for Astrophysics Earth and Planetary Astrophysics
1 code implementation • 24 May 2015 • Jasmina Blecic, Joseph Harrington, M. Oliver Bowman
There is a start guide, a user manual, and a code document in addition to this theory paper.
Instrumentation and Methods for Astrophysics
