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The MUSE-Wide survey: A first catalogue of 831 emission line galaxies
Stockholm University, Faculty of Science, Department of Astronomy. Leibniz-Institut für Astrophysik Potsdam (AIP), Germany.
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Number of Authors: 14
2017 (English)In: Astronomy and Astrophysics, ISSN 0004-6361, E-ISSN 1432-0746, Vol. 606, A12Article in journal (Refereed) Published
Abstract [en]

We present a first instalment of the MUSE-Wide survey, covering an area of 22.2 arcmin(2) (corresponding to similar to 20% of the final survey) in the CANDELS /Deep area of the Chandra Deep Field South. We use the MUSE integral field spectrograph at the ESO VLT to conduct a full-area spectroscopic mapping at a depth of 1 h exposure time per 1 arcmin(2) pointing. We searched for compact emission line objects using our newly developed LSDCat software based on a 3D matched filtering approach, followed by interactive classification and redshift measurement of the sources. Our catalogue contains 831 distinct emission line galaxies with redshifts ranging from 0.04 to 6. Roughly one third (237) of the emission line sources are Lyman alpha emitting galaxies with 3 < z < 6, only four of which had previously measured spectroscopic redshifts. At lower redshifts 351 galaxies are detected primarily by their [O i i] emission line (0.3 <= z <= 1.5), 189 by their [OIII] line (0.21 <= z <= 0.85), and 46 by their H alpha line (0.04 <= z <= 0.42). Comparing our spectroscopic redshifts to photometric redshift estimates from the literature, we find excellent agreement for z < 1.5 with a median Delta(z) of only similar to 4 x 10(-4) and an outlier rate of 6%, however a significant systematic offset of Delta(z) = 0.26 and an outlier rate of 23% for Ly alpha emitters at z > 3. Together with the catalogue we also release 1D PSF-weighted extracted spectra and small 3D datacubes centred on each of the 831 sources.

Place, publisher, year, edition, pages
2017. Vol. 606, A12
Keyword [en]
galaxies: high-redshift, techniques: imaging spectroscopy, catalogs, surveys
National Category
Physical Sciences
Identifiers
URN: urn:nbn:se:su:diva-148883DOI: 10.1051/0004-6361/201731055ISI: 000412874000003OAI: oai:DiVA.org:su-148883DiVA: diva2:1158993
Available from: 2017-11-21 Created: 2017-11-21 Last updated: 2017-11-21Bibliographically approved

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