ASCL.net

Astrophysics Source Code Library

Making codes discoverable since 1999

PyAutoLens: Strong lens modeling

Discussion topics for individual codes
Ada Coda
ASCL Robot
Posts: 1053
Joined: Thu May 08, 2014 5:37 am

PyAutoLens: Strong lens modeling

Postby Ada Coda » Sat Jul 07, 2018 2:53 am

PyAutoLens: Strong lens modeling

Abstract: PyAutoLens models and analyzes galaxy-scale strong gravitational lenses. This automated module suite simultaneously models the lens galaxy's light and mass while reconstructing the extended source galaxy on an adaptive pixel-grid. Source-plane discretization is amorphous, adapting its clustering and regularization to the intrinsic properties of the lensed source. The lens's light is fitted using a superposition of Sersic functions, allowing PyAutoLens to cleanly deblend its light from the source. Bayesian model comparison is used to automatically chose the complexity of the light and mass models. PyAutoLens provides accurate light, mass, and source profiles inferred for data sets representative of both existing Hubble imaging and future Euclid wide-field observations.

Credit: Nightingale, J. W.; Hayes, R.; Dye, S.; Massey, R. J.; Frenk, C. S.

Site: https://github.com/Jammy2211/PyAutoLens
https://ui.adsabs.harvard.edu/#abs/2018MNRAS.478.4738N

Bibcode: 2018ascl.soft07003N

ID: ascl:1807.003

Return to “Astrophysics Source Code Library”

Who is online

Users browsing this forum: No registered users and 12 guests

cron