Lensed: Forward parametric modelling of strong lenses

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Ada Coda
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Lensed: Forward parametric modelling of strong lenses

Post by Ada Coda » Sat May 30, 2015 3:39 am

Lensed: Forward parametric modelling of strong lenses

Abstract: Lensed performs forward parametric modelling of strong lenses. Using a provided model, Lensed renders the expected image of the lensing event for a large number of parameter settings, thereby exploring the space of possible realizations of the observation. It compares the expectation to the observed image by calculating the likelihood that the observation was indeed produced by the assumed model, thus reconstructing the probability distribution over the parameter space of the model. Written in C, the code uses a massively parallel ray-tracing kernel to perform the necessary calculations on a graphics processing unit (GPU), making the precise rendering of the background lensed sources fast and allowing the simultaneous optimization of tens of parameters for the selected model.

Credit: Tessore, Nicolas; Bellagamba, Fabio; Metcalf, R. Benton

Site: https://github.com/glenco/lensed
http://adsabs.harvard.edu/abs/2016MNRAS.463.3115T

Bibcode: 2015ascl.soft05026T

Preferred citation method: http://adsabs.harvard.edu/abs/2016MNRAS.463.3115T

ID: ascl:1505.026
Last edited by Ada Coda on Mon Dec 31, 2018 4:08 pm, edited 1 time in total.
Reason: Updated code entry.

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