Spectral distances to DA white dwarfs

DOI

Using recent photometric calibrations, we develop greatly improved distance estimates for DA white dwarfs using multi-band synthetic photometry based on spectroscopic temperatures and gravities. Very good correlations are shown to exist between our spectroscopically based photometric distance estimates and those derived from trigonometric parallaxes. We investigate the uncertainties involved in our distance estimates, as well as discuss the circumstances where such techniques are most likely to fail. We apply our techniques to the large sample of Sloan Digital Sky Survey DA white dwarfs where automated fitting of HI Balmer profiles yields spectrometric temperatures and gravities. We determine simple empirical corrections to these temperatures and gravities with respect to published slit spectroscopy. After applying these T_eff_-logg corrections as well as appropriate interstellar extinction corrections, where necessary, we derive spectroscopically based photometric distances for 7062 DA stars from this sample.

Cone search capability for table J/AJ/135/1239/table1 (Trigonometric parallaxes)

Cone search capability for table J/AJ/135/1239/UBVRI (UBVRI photometry and distances)

Cone search capability for table J/AJ/135/1239/table7 (SDSS autofit versus slit spectroscopic parameters)

Cone search capability for table J/AJ/135/1239/ugriz (ugriz photometry and distances)

Identifier
DOI http://doi.org/10.26093/cds/vizier.51351239
Source https://dc.g-vo.org/rr/q/lp/custom/CDS.VizieR/J/AJ/135/1239
Related Identifier https://cdsarc.cds.unistra.fr/viz-bin/cat/J/AJ/135/1239
Related Identifier http://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/AJ/135/1239
Metadata Access http://dc.g-vo.org/rr/q/pmh/pubreg.xml?verb=GetRecord&metadataPrefix=oai_b2find&identifier=ivo://CDS.VizieR/J/AJ/135/1239
Provenance
Creator Holberg J.B.; Bergeron P.; Gianninas A.
Publisher CDS
Publication Year 2010
Rights https://cds.unistra.fr/vizier-org/licences_vizier.html
OpenAccess true
Contact CDS support team <cds-question(at)unistra.fr>
Representation
Resource Type Dataset; AstroObjects
Discipline Astrophysics and Astronomy; Natural Sciences; Observational Astronomy; Physics; Stellar Astronomy