PyAutoLens: Strong lens modeling

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Ada Coda
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PyAutoLens: Strong lens modeling

Post by 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/2021JOSS....6.2825N

Bibcode: 2018ascl.soft07003N

Preferred citation method: Please see citation information here: https://pyautolens.readthedocs.io/en/la ... tions.html

ID: ascl:1807.003
Last edited by Ada Coda on Mon Aug 30, 2021 11:50 pm, edited 1 time in total.
Reason: Updated code entry.

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