Journal article
Large-scale three-dimensional Gaussian process extinction mapping
- Abstract:
- Gaussian processes are the ideal tool for modelling the Galactic ISM, combining statistical flexibility with a good match to the underlying physics. In an earlier paper we outlined how they can be employed to construct three-dimensional maps of dust extinction from stellar surveys. Gaussian processes scale poorly to large datasets though, which put the analysis of realistic catalogues out of reach. Here we show how a novel combination of the Expectation Propagation method and certain sparse matrix approximations can be used to accelerate the dust mapping problem. We demonstrate, using simulated Gaia data, that the resultant algorithm is fast, accurate and precise. Critically, it can be scaled up to map the Gaia catalogue.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 1.5MB, Terms of use)
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- Publisher copy:
- 10.1093/mnras/sty2118
Authors
- Publisher:
- Oxford University Press
- Journal:
- Monthly Notices of the Royal Astronomical Society More from this journal
- Volume:
- 481
- Issue:
- 1
- Pages:
- 494–508
- Publication date:
- 2018-08-07
- Acceptance date:
- 2018-08-02
- DOI:
- ISSN:
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0035-8711
- Keywords:
- Pubs id:
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pubs:865736
- UUID:
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uuid:45691695-7175-42be-90d5-82ad8e49ebee
- Local pid:
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pubs:865736
- Source identifiers:
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865736
- Deposit date:
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2018-08-14
Terms of use
- Copyright holder:
- Sale and Magorrian
- Copyright date:
- 2018
- Notes:
- Copyright © 2018 The Authors. Published by Oxford University Press on behalf of the Royal Astronomical Society. This is the accepted manuscript version of the article. The final version is available online from Oxford University Press at: https://doi.org/10.1093/mnras/sty2118
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