MINESweeper: Spectrophotometric Modeling of Stars in the Gaia Era

Simple item page
dc.contributor.authorCargile, Phillip A
dc.contributor.authorConroy, Charlie
dc.contributor.authorJohnson, Benjamin D
dc.contributor.authorTing, Yuan-Sen
dc.contributor.authorBonaca, Ana
dc.contributor.authorDotter, Aaron
dc.contributor.authorSpeagle, Joshua S
dc.date.accessioned2022-07-20T03:41:21Z
dc.date.available2022-07-20T03:41:21Z
dc.date.issued2020
dc.date.updated2021-08-01T08:23:07Z
dc.description.abstractWe present MINESweeper, a tool to measure stellar parameters by jointly fitting observed spectra and broadband photometry to model isochrones and spectral libraries. This approach enables the measurement of spectrophotometric distances, in addition to stellar parameters such as T eff, $\mathrm{log}g$, [Fe/H], [α/Fe], and radial velocity. MINESweeper employs a Bayesian framework and can easily incorporate a variety of priors, including Gaia parallaxes. Mock data are fit in order to demonstrate how the precision of derived parameters depends on evolutionary phase and signal-to-noise ratio. We then fit a selection of data in order to validate the model outputs. Fits to a variety of benchmark stars including Procyon, Arcturus, and the Sun result in derived stellar parameters that are in good agreement with the literature. We then fit combined spectra and photometry of stars in the open and globular clusters M92, M13, M3, M107, M71, and M67. Derived distances, [Fe/H], [α/Fe], and $\mathrm{log}g$−T eff relations are in overall good agreement with literature values, although there are trends between metallicity and $\mathrm{log}g$ within clusters that point to systematic uncertainties at the ≈0.1 dex level. Finally, we fit a large sample of stars from the H3 Spectroscopic Survey in which high-quality Gaia parallaxes are also available. These stars are fit without the Gaia parallaxes so that the geometric parallaxes can serve as an independent test of the spectrophotometric distances. Comparison between the two reveals good agreement within their formal uncertainties after accounting for the Gaia zero-point uncertainties.en_AU
dc.description.sponsorshipFunding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn0004-637Xen_AU
dc.identifier.urihttp://hdl.handle.net/1885/269814
dc.language.isoen_AUen_AU
dc.provenancehttps://v2.sherpa.ac.uk/id/publication/6401..."The Published Version can be archived in any website" from SHERPA/RoMEO site (as at 20/07/2022).en_AU
dc.publisherIOP Publishingen_AU
dc.rights© 2020. The American Astronomical Societyen_AU
dc.sourceThe Astrophysical Journalen_AU
dc.titleMINESweeper: Spectrophotometric Modeling of Stars in the Gaia Eraen_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.issue1en_AU
local.bibliographicCitation.lastpage20en_AU
local.bibliographicCitation.startpage1en_AU
local.contributor.affiliationCargile, Phillip A, Harvard-Smithsonian Center for Astrophysicsen_AU
local.contributor.affiliationConroy, Charlie, Harvard-Smithsonian Center for Astrophysicsen_AU
local.contributor.affiliationJohnson, Benjamin D, Harvard-Smithsonian Center for Astrophysicsen_AU
local.contributor.affiliationTing, Yuan Sen, College of Science, ANUen_AU
local.contributor.affiliationBonaca, Ana, Harvard-Smithsonian Center for Astrophysicsen_AU
local.contributor.affiliationDotter, Aaron, Harvard-Smithsonian Center for Astrophysicsen_AU
local.contributor.affiliationSpeagle, Joshua S, Harvard-Smithsonian Center for Astrophysicsen_AU
local.contributor.authoremailu5043815@anu.edu.auen_AU
local.contributor.authoruidTing, Yuan Sen, u5043815en_AU
local.description.notesImported from ARIESen_AU
local.identifier.absfor460207 - Modelling and simulationen_AU
local.identifier.absfor490506 - Probability theoryen_AU
local.identifier.absfor510109 - Stellar astronomy and planetary systemsen_AU
local.identifier.ariespublicationa383154xPUB14147en_AU
local.identifier.citationvolume900en_AU
local.identifier.doi10.3847/1538-4357/aba43ben_AU
local.identifier.scopusID2-s2.0-85091171194
local.identifier.uidSubmittedBya383154en_AU
local.publisher.urlhttp://iopscience.iop.org/0004-637Xen_AU
local.type.statusPublished Versionen_AU

Downloads

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Cargile_2020_ApJ_900_28.pdf
Size:
10.43 MB
Format:
Adobe Portable Document Format
Description:
Download

Collections

ANU Research Publications

DSpace software copyright © 2002-2024 LYRASIS