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LSDCat: Detection and cataloguing of emission-line sources in integral-field spectroscopy datacubes
Stockholm University, Faculty of Science, Department of Astronomy. Leibniz-Institut für Astrophysik Potsdam (AIP), Germany .
Number of Authors: 22017 (English)In: Astronomy and Astrophysics, ISSN 0004-6361, E-ISSN 1432-0746, Vol. 602, article id A111Article in journal (Refereed) Published
Abstract [en]

We present a robust, efficient, and user-friendly algorithm for detecting faint emission-line sources in large integral-field spectroscopic datacubes together with the public release of the software package Line Source Detection and Cataloguing (LSDCat). LSDCat uses a three-dimensional matched filter approach, combined with thresholding in signal-to-noise, to build a catalogue of individual line detections. In a second pass, the detected lines are grouped into distinct objects, and positions, spatial extents, and fluxes of the detected lines are determined. LSDCat requires only a small number of input parameters, and we provide guidelines for choosing appropriate values. The software is coded in Python and capable of processing very large datacubes in a short time. We verify the implementation with a source insertion and recovery experiment utilising a real datacube taken with the MUSE instrument at the ESO Very Large Telescope.

Place, publisher, year, edition, pages
2017. Vol. 602, article id A111
Keywords [en]
methods: data analysis, techniques: imaging spectroscopy
National Category
Astronomy, Astrophysics and Cosmology
Identifiers
URN: urn:nbn:se:su:diva-147960DOI: 10.1051/0004-6361/201629507ISI: 000404648300028OAI: oai:DiVA.org:su-147960DiVA, id: diva2:1149678
Available from: 2017-10-16 Created: 2017-10-16 Last updated: 2017-10-16Bibliographically approved

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Herenz, Edmund Christian
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