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The GALAH survey : ...
The GALAH survey : Characterization of emission-line stars with spectral modelling using autoencoders
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- Čotar, Klemen (författare)
- University of Ljubljana
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- Zwitter, Tomaz (författare)
- University of Ljubljana
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- Traven, Gregor (författare)
- Lund University,Lunds universitet,Astronomi - Genomgår omorganisation,Institutionen för astronomi och teoretisk fysik - Genomgår omorganisation,Naturvetenskapliga fakulteten,Lund Observatory - Undergoing reorganization,Department of Astronomy and Theoretical Physics - Undergoing reorganization,Faculty of Science
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- Bland-Hawthorn, Joss (författare)
- Center of Excellence for Astrophysics in Three Dimensions (ASTRO-3D),University of Sydney
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- Buder, Sven (författare)
- Center of Excellence for Astrophysics in Three Dimensions (ASTRO-3D),Australian National University,Max Planck Institute for Astronomy
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- Hayden, Michael R. (författare)
- University of Sydney,Center of Excellence for Astrophysics in Three Dimensions (ASTRO-3D)
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- Kos, Janez (författare)
- University of Ljubljana
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- Lewis, Geraint F. (författare)
- University of Sydney
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- Martell, Sarah L. (författare)
- University of New South Wales,Center of Excellence for Astrophysics in Three Dimensions (ASTRO-3D)
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- Nordlander, Thomas (författare)
- Center of Excellence for Astrophysics in Three Dimensions (ASTRO-3D),Australian National University
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- Stello, Dennis (författare)
- University of New South Wales
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- Horner, Jonathan (författare)
- University of Southern Queensland
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- Ting, Yuan Sen (författare)
- Princeton University,Carnegie Observatories,Institute for Advanced Study, Princeton,Australian National University
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- Zerjal, Maruša (författare)
- Australian National University
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(creator_code:org_t)
- 2020-12-10
- 2021
- Engelska 17 s.
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Ingår i: Monthly Notices of the Royal Astronomical Society. - : Oxford University Press (OUP). - 0035-8711 .- 1365-2966. ; 500:4, s. 4849-4865
- Relaterad länk:
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http://dx.doi.org/10...
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http://arxiv.org/pdf...
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- We present a neural network autoencoder structure that is able to extract essential latent spectral features from observed spectra and then reconstruct a spectrum from those features. Because of the training with a set of unpeculiar spectra, the network is able to reproduce a spectrum of high signal-to-noise ratio that does not show any spectral peculiarities, even if they are present in an observed spectrum. Spectra generated in this manner were used to identify various emission features among spectra acquired by multiple surveys using the HERMES spectrograph at the Anglo-Australian telescope. Emission features were identified by a direct comparison of the observed and generated spectra. Using the described comparison procedure, we discovered 10 364 candidate spectra with varying intensities (from partially filled-in to well above the continuum) of the Hα/Hβ emission component, produced by different physical mechanisms. A fraction of these spectra belong to the repeated observation that shows temporal variability in their emission profile. Among the emission spectra, we find objects that feature contributions from a nearby rarefied gas (identified through the emission of [N ii] and [S ii] lines) that was identified in 4004 spectra, which were not all identified as having Hα emission. The positions of identified emission-line objects coincide with multiple known regions that harbour young stars. Similarly, detected nebular emission spectra coincide with visually prominent nebular clouds observable in the red all-sky photographic composites.
Ämnesord
- NATURVETENSKAP -- Fysik -- Astronomi, astrofysik och kosmologi (hsv//swe)
- NATURAL SCIENCES -- Physical Sciences -- Astronomy, Astrophysics and Cosmology (hsv//eng)
Nyckelord
- catalogues
- line: profiles
- methods: data analysis
- stars: activity
- stars: emission line, Be
- stars: peculiar
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
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Till lärosätets databas
- Av författaren/redakt...
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Čotar, Klemen
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Zwitter, Tomaz
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Traven, Gregor
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Bland-Hawthorn, ...
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Buder, Sven
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Hayden, Michael ...
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visa fler...
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Kos, Janez
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Lewis, Geraint F ...
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Martell, Sarah L ...
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Nordlander, Thom ...
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Stello, Dennis
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Horner, Jonathan
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Ting, Yuan Sen
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Zerjal, Maruša
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visa färre...
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