A variational encoder–decoder approach to precise spectroscopic age estimation for large Galactic surveys

ABSTRACT Constraints on the formation and evolution of the Milky Way Galaxy require multidimensional measurements of kinematics, abundances, and ages for a large population of stars. Ages for luminous giants, which can be seen to large distances, are an essential component of studies of the Milky Wa...

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Veröffentlicht in:Monthly notices of the Royal Astronomical Society Jg. 522; H. 3; S. 4577 - 4597
Hauptverfasser: Leung, Henry W, Bovy, Jo, Mackereth, J Ted, Miglio, Andrea
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United Kingdom Oxford University Press 02.05.2023
Schlagworte:
stars: fundamental parameters
techniques: spectroscopic
methods: data analysis
ISSN:0035-8711, 1365-2966
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Abstract ABSTRACT Constraints on the formation and evolution of the Milky Way Galaxy require multidimensional measurements of kinematics, abundances, and ages for a large population of stars. Ages for luminous giants, which can be seen to large distances, are an essential component of studies of the Milky Way, but they are traditionally very difficult to estimate precisely for a large data set and often require careful analysis on a star-by-star basis in asteroseismology. Because spectra are easier to obtain for large samples, being able to determine precise ages from spectra allows for large age samples to be constructed, but spectroscopic ages are often imprecise and contaminated by abundance correlations. Here we present an application of a variational encoder–decoder on cross-domain astronomical data to solve these issues. The model is trained on pairs of observations from APOGEE and Kepler of the same star in order to reduce the dimensionality of the APOGEE spectra in a latent space while removing abundance information. The low dimensional latent representation of these spectra can then be trained to predict age with just ∼1000 precise seismic ages. We demonstrate that this model produces more precise spectroscopic ages ($\sim 22~{{\ \rm per\ cent}}$ overall, $\sim 11~{{\ \rm per\ cent}}$ for red-clump stars) than previous data-driven spectroscopic ages while being less contaminated by abundance information (in particular, our ages do not depend on [α/M]). We create a public age catalogue for the APOGEE DR17 data set and use it to map the age distribution and the age-[Fe/H]-[α/M] distribution across the radial range of the Galactic disc.
AbstractList Constraints on the formation and evolution of the Milky Way Galaxy require multidimensional measurements of kinematics, abundances, and ages for a large population of stars. Ages for luminous giants, which can be seen to large distances, are an essential component of studies of the Milky Way, but they are traditionally very difficult to estimate precisely for a large data set and often require careful analysis on a star-by-star basis in asteroseismology. Because spectra are easier to obtain for large samples, being able to determine precise ages from spectra allows for large age samples to be constructed, but spectroscopic ages are often imprecise and contaminated by abundance correlations. Here we present an application of a variational encoder–decoder on cross-domain astronomical data to solve these issues. The model is trained on pairs of observations from APOGEE and Kepler of the same star in order to reduce the dimensionality of the APOGEE spectra in a latent space while removing abundance information. The low dimensional latent representation of these spectra can then be trained to predict age with just ∼1000 precise seismic ages. We demonstrate that this model produces more precise spectroscopic ages ($\sim 22~{{\ \rm per\ cent}}$ overall, $\sim 11~{{\ \rm per\ cent}}$ for red-clump stars) than previous data-driven spectroscopic ages while being less contaminated by abundance information (in particular, our ages do not depend on [α/M]). We create a public age catalogue for the APOGEE DR17 data set and use it to map the age distribution and the age-[Fe/H]-[α/M] distribution across the radial range of the Galactic disc.
ABSTRACT Constraints on the formation and evolution of the Milky Way Galaxy require multidimensional measurements of kinematics, abundances, and ages for a large population of stars. Ages for luminous giants, which can be seen to large distances, are an essential component of studies of the Milky Way, but they are traditionally very difficult to estimate precisely for a large data set and often require careful analysis on a star-by-star basis in asteroseismology. Because spectra are easier to obtain for large samples, being able to determine precise ages from spectra allows for large age samples to be constructed, but spectroscopic ages are often imprecise and contaminated by abundance correlations. Here we present an application of a variational encoder–decoder on cross-domain astronomical data to solve these issues. The model is trained on pairs of observations from APOGEE and Kepler of the same star in order to reduce the dimensionality of the APOGEE spectra in a latent space while removing abundance information. The low dimensional latent representation of these spectra can then be trained to predict age with just ∼1000 precise seismic ages. We demonstrate that this model produces more precise spectroscopic ages ($\sim 22~{{\ \rm per\ cent}}$ overall, $\sim 11~{{\ \rm per\ cent}}$ for red-clump stars) than previous data-driven spectroscopic ages while being less contaminated by abundance information (in particular, our ages do not depend on [α/M]). We create a public age catalogue for the APOGEE DR17 data set and use it to map the age distribution and the age-[Fe/H]-[α/M] distribution across the radial range of the Galactic disc.
Author Bovy, Jo
Miglio, Andrea
Mackereth, J Ted
Leung, Henry W
Author_xml – sequence: 1
  givenname: Henry W
  orcidid: 0000-0002-0036-2752
  surname: Leung
  fullname: Leung, Henry W
  email: henrysky.leung@mail.utoronto.ca
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  givenname: Jo
  orcidid: 0000-0001-6855-442X
  surname: Bovy
  fullname: Bovy, Jo
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  givenname: J Ted
  orcidid: 0000-0001-8108-0935
  surname: Mackereth
  fullname: Mackereth, J Ted
– sequence: 4
  givenname: Andrea
  orcidid: 0000-0001-5998-8533
  surname: Miglio
  fullname: Miglio, Andrea
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Keywords stars: fundamental parameters
techniques: spectroscopic
methods: data analysis
Language English
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Snippet ABSTRACT Constraints on the formation and evolution of the Milky Way Galaxy require multidimensional measurements of kinematics, abundances, and ages for a...
Constraints on the formation and evolution of the Milky Way Galaxy require multidimensional measurements of kinematics, abundances, and ages for a large...
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Title A variational encoder–decoder approach to precise spectroscopic age estimation for large Galactic surveys
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