TRIPPy: Python-based Trailed Source Photometry

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Ada Coda
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TRIPPy: Python-based Trailed Source Photometry

Post by Ada Coda » Mon May 30, 2016 10:44 pm

TRIPPy: Python-based Trailed Source Photometry

Abstract: TRIPPy (TRailed Image Photometry in Python) uses a pill-shaped aperture, a rectangle described by three parameters (trail length, angle, and radius) to improve photometry of moving sources over that done with circular apertures. It can generate accurate model and trailed point-spread functions from stationary background sources in sidereally tracked images. Appropriate aperture correction provides accurate, unbiased flux measurement. TRIPPy requires numpy, scipy, matplotlib, Astropy (ascl:1304.002), and stsci.numdisplay; emcee (ascl:1303.002) and SExtractor (ascl:1010.064) are optional.

Credit: Fraser, Wesley C.; Alexandersen, Mike; Schwamb, Megan E.; Marsset, Michael E.; Pike, Rosemary E.; Kavelaars, JJ; Bannister, Michele T.; Benecchi, Susan; Delsanti, Audrey

Site: https://doi.org/10.5281/zenodo.48694
https://ui.adsabs.harvard.edu/abs/2016AJ....151..158F

Bibcode: 2016ascl.soft05010F

Preferred citation method: https://ui.adsabs.harvard.edu/abs/2016AJ....151..158F

ID: ascl:1605.010
Last edited by Ada Coda on Thu Jul 18, 2019 9:58 pm, edited 1 time in total.
Reason: Updated code entry.

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