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      JUDE: An alternative UVIT pipeline

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          Abstract

          We have written a set of routines to convert the Level 1 data from UVIT into scientifically useful photon lists and images. These routines are in the GNU Data Language (GDL) and are compatible with the IDL software package. We use these programs in our own scientific work will continue to update the programs as we gain an understanding of the UVIT instrument.

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          Astrometry.net: Blind astrometric calibration of arbitrary astronomical images

          We have built a reliable and robust system that takes as input an astronomical image, and returns as output the pointing, scale, and orientation of that image (the astrometric calibration or WCS information). The system requires no first guess, and works with the information in the image pixels alone; that is, the problem is a generalization of the "lost in space" problem in which nothing--not even the image scale--is known. After robust source detection is performed in the input image, asterisms (sets of four or five stars) are geometrically hashed and compared to pre-indexed hashes to generate hypotheses about the astrometric calibration. A hypothesis is only accepted as true if it passes a Bayesian decision theory test against a background hypothesis. With indices built from the USNO-B Catalog and designed for uniformity of coverage and redundancy, the success rate is 99.9% for contemporary near-ultraviolet and visual imaging survey data, with no false positives. The failure rate is consistent with the incompleteness of the USNO-B Catalog; augmentation with indices built from the 2MASS Catalog brings the completeness to 100% with no false positives. We are using this system to generate consistent and standards-compliant meta-data for digital and digitized imaging from plate repositories, automated observatories, individual scientific investigators, and hobbyists. This is the first step in a program of making it possible to trust calibration meta-data for astronomical data of arbitrary provenance.
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            Author and article information

            Journal
            2016-07-07
            Article
            1607.01874
            353af793-5704-4e3e-9acb-441bf1e39856

            http://arxiv.org/licenses/nonexclusive-distrib/1.0/

            History
            Custom metadata
            7 pages, 5 figures submitted to Journal of Astrophysics and Astronomy
            astro-ph.IM

            Instrumentation & Methods for astrophysics
            Instrumentation & Methods for astrophysics

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