Three-Dimensional Optimal Spectral Extraction (TDOSE) from integral field spectroscopy
| Autor: | Davor Krajnović, Hanae Inami, R. Saust, Michael V. Maseda, J. Kerutt, Thierry Contini, Edmund Christian Herenz, Kasper B. Schmidt, Lutz Wisotzki, Benoît Epinat, Tanya Urrutia |
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| Přispěvatelé: | Leibniz Institute for Astrophysics Potsdam (AIP), Institut de recherche en astrophysique et planétologie (IRAP), Institut national des sciences de l'Univers (INSU - CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Astrophysique de Marseille (LAM), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Aix Marseille Université (AMU)-Centre National d'Études Spatiales [Toulouse] (CNES), Centre de Recherche Astrophysique de Lyon (CRAL), École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Physics
[SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph] 010308 nuclear & particles physics Aperture Flux FOS: Physical sciences Astronomy and Astrophysics Multivariate normal distribution Astrophysics Astrophysics - Astrophysics of Galaxies 01 natural sciences Spectral line Computational physics Data cube Wavelength Integral field spectrograph Space and Planetary Science Astrophysics of Galaxies (astro-ph.GA) 0103 physical sciences Line (geometry) 010303 astronomy & astrophysics |
| Zdroj: | Astronomy and Astrophysics (0004-6361), 628, A91 Astronomy and Astrophysics-A&A Astronomy and Astrophysics-A&A, EDP Sciences, 2019, 628, pp.A91. ⟨10.1051/0004-6361/201935857⟩ Astronomy and Astrophysics-A&A, 2019, 628, pp.A91. ⟨10.1051/0004-6361/201935857⟩ Astronomy and Astrophysics (0004-6361) |
| ISSN: | 0004-6361 |
| Popis: | [Abbreviated] The amount of integral field spectrograph (IFS) data has grown considerable over the last few decades. The demand for tools to analyze such data is therefore bigger now than ever. We present TDOSE; a flexible Python tool for Three Dimensional Optimal Spectral Extraction from IFS data cubes. TDOSE works on any three-dimensional data cube and bases the spectral extractions on morphological reference image models. In each wavelength layer of the IFS data cube, TDOSE simultaneously optimizes all sources in the morphological model to minimize the difference between the scaled model components and the IFS data. The flux optimization produces individual data cubes containing the scaled three-dimensional source models. This allows for efficient de-blending of flux in both the spatial and spectral dimensions of the IFS data cubes, and extraction of the corresponding one-dimensional spectra. We present an example of how the three-dimensional source models generated by TDOSE can be used to improve two-dimensional maps of physical parameters. By extracting TDOSE spectra of $\sim$150 [OII] emitters from the MUSE-Wide survey we show that the median increase in line flux is $\sim$5% when using multi-component models as opposed to single-component models. However, the increase in recovered line emission in individual cases can be as much as 50%. Comparing the TDOSE model-based extractions of the MUSE-Wide [OII] emitters with aperture spectra, the TDOSE spectra provides a median flux (S/N) increase of 9% (14%). Hence, TDOSE spectra optimizes the S/N while still being able to recover the total emitted flux. TDOSE version 3.0 presented in this paper is available at https://github.com/kasperschmidt/TDOSE. Comment: Accepted by A&A, 24 pages and 11 figures, code available at https://github.com/kasperschmidt/TDOSE |
| Databáze: | OpenAIRE |
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