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Paper: SkZpipe: A Python3 Module to Produce Efficiently Accurate PSF-Fitting Photometry with DAOPhot, and Much More
Volume: 522, Astronomical Data Analysis Software and Systems XXVII
Page: 699
Authors: Mauro, F.
Abstract: In an era characterized by big sky surveys and the availability of large amount of photometric data, it is important for the astronomers to have tools to process their data in an efficient, accurate and easy way, minimizing elaboration time. We present SkZpipe, a Python3 module designed mainly to process generic data performing point-spread function (PSF) fitting photometry with the DAOPhot suite (Stetson 1987). The software has already demonstrated its accuracy and efficiency with the adaptation VVV-SkZ_pipeline (Mauro et al. 2013) for the “VISTA Variables in the Vía Láctea” ESO survey, showing how it can replace the user avoiding repetitive interaction in all the operations, retaining all of the benefits of the power and accuracy of the DAOPhot suite, detaching them from the burden of data elaboration. The software provides not only a pipeline, but also all the tools to run each atomic step of the photometric procedure, to match the results, to extract information from fits headers, and to retrieve information from the internal instrumental database.We plan to add the support to other photometric software in the future.
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