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Astrophysics Source Code Library

Making codes discoverable since 1999

Searching for codes credited to 'Gangler, E.'

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[ascl:2102.025] binaryoffset: Detecting and correcting the binary offset effect in CCDs
Boone, K.; Aldering, G.; Copin, Y.; Dixon, S.; Domagalski, R. S.; Gangler, E.; Pecontal, E.; Perlmutter, S.

binaryoffset identifies the binary offset effect in images from any detector. The easiest input to work with is a dark or bias image that is spatially flat. The code can also be run on images that are not spatially flat, assuming that there is some model of the signal on the CCD that can be used to produce a residual image.

[ascl:2312.019] Rainbow: Simultaneous multi-band light curve fitting
Russeil, E.; Malanchev, K. L.; Aleo, P. D.; Ishida, E. E. O.; Pruzhinskaya, M. V.; Gangler, E.; Lavrukhina, A. D.; Volnova, A. A.; Voloshina, A.; Semenikhin, T.; Sreejith, S.; Kornilov, M. V.; Korolev, V. S.

Rainbow is a black-body parametric model for transient light curves. It uses Bazin function as a model for bolometric flux evolution and a logistic function for the temperature evolution; it provides seven fit parameters and goodness of fit (reduced χ2) and is well-suited for transient objects. Also included is RainbowRisingFit, suitable for rising transient objects, which offers six fit parameters. It is based on a rising sigmoid bolometric flux and a sigmoid temperature evolution. These implementations are implemented in the light-curve processing toolbox (ascl:2107.001) for Python.