TRIPPy: Trailed Image Photometry in Python

Wesley Fraser, Mike Alexandersen, Megan E. Schwamb, Michaël Marsset, Rosemary E. Pike, J. J. Kavelaars, Michele T. Bannister, Susan Benecchi, Audrey Delsanti

Research output: Contribution to journalArticle

16 Citations (Scopus)
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Abstract

Photometry of moving sources typically suffers from a reduced signal-to-noise ratio (S/N) or flux measurements biased to incorrect low values through the use of circular apertures. To address this issue, we present the software package, TRIPPy: TRailed Image Photometry in Python. TRIPPy introduces the pill aperture, which is the natural extension of the circular aperture appropriate for linearly trailed sources. The pill shape is a rectangle with two semicircular end-caps and is described by three parameters, the trail length and angle, and the radius. The TRIPPy software package also includes a new technique to generate accurate model point-spread functions (PSFs) and trailed PSFs (TSFs) from stationary background sources in sidereally tracked images. The TSF is merely the convolution of the model PSF, which consists of a moffat profile, and super-sampled lookup table. From the TSF, accurate pill aperture corrections can be estimated as a function of pill radius with an accuracy of 10 mmag for highly trailed sources. Analogous to the use of small circular apertures and associated aperture corrections, small radius pill apertures can be used to preserve S/Ns of low flux sources, with appropriate aperture correction applied to provide an accurate, unbiased flux measurement at all S/Ns.
Original languageEnglish
Article number158
Number of pages7
JournalAstronomical Journal
Volume151
Issue number6
DOIs
Publication statusPublished - 27 May 2016

Keywords

  • methods: data analysis
  • methods: numerical
  • techniques: photometric

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    Fraser, W., Alexandersen, M., Schwamb, M. E., Marsset, M., Pike, R. E., Kavelaars, J. J., Bannister, M. T., Benecchi, S., & Delsanti, A. (2016). TRIPPy: Trailed Image Photometry in Python. Astronomical Journal, 151(6), [158]. https://doi.org/10.3847/0004-6256/151/6/158