Multilevel Bayesian Inference for Cosmic Shear

Software · Mon May 09 04:00:00 EDT 2016

OSTI ID:1411204

Bard, Deborah ^[1]; Dawson, William ^[2]; Lang, Dustin ^[3]; Marshall, Phil ^[4]; Meyers, Joshua ^[5]; Ng, Karen ^[6]; Schneider, Michael ^[2]

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1. LBNL
2. LLNL
3. University of Toronto
4. SLAC
5. Stanford
6. UC Davis

The software implements a probabilistic hierarchical pipeline for inferring the gravitational lensing shears of galaxy images in the presence of noise, pixelated images, and astrophysical uncertainties. The distinct software components implement forward modeling of CCD images of galaxies and hierarchical inference of properties of the galaxy distribution and telescope Point Spread Functions (PSFs). We also include scripts to make diagnostic plots from the output files of each stage of the pipeline.

• Short Name / Acronym: MBI; 005544MLTPL00
• Site Accession Number: LLNL-CODE-742319
• Version: 00
• Programming Language(s): Medium: X; OS: Linux, Mac OS
• Research Organization: Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA)
• Contributing Organization: Lawrence Livermore National Laboratory
• DOE Contract Number: AC52-07NA27344
• OSTI ID: 1411204
• Country of Origin: United States