Attaining Spectral Energy Distributions with Subpercent Uncertainties: All-sky DA White Dwarf Spectrophotometric Standard Stars For Large Telescopes and Surveys

Abstract We present a synopsis of the project to establish 32 new faint (16.5 ≤ V ≤ 19.8) DA white dwarf (DAWD) spectrophotometric standards distributed over the whole sky. Our results validate the use of fully radiative pure hydrogen model fluxes for hot DA white dwarfs to predict the observed broadband fluxes from near-ultraviolet through the near-infrared to accuracies of a few parts per thousand. After fitting the line of sight reddenings simultaneously with the model spectral energy distributions of these stars against spectroscopic and multiband photometric observations, we have shown that residuals have an rms of typically 0.4%. This indicates that the complications from interstellar dust extinction have been adequately mitigated. Our stars supplement the three brighter DAWDs that define the flux scale of CALSPEC. The consequent photometric accuracy, their all-sky coverage, and their brightness range that matches the dynamic range of large telescopes, constitute an unprecedented ensemble of standard stars for both ground as well as space based use. This paper targets readers who may wish to use these as standard stars and provides them with the essential content to understand their strengths and limitations, without traversing the technical details of analysis that are already captured in a series of papers since 2016. The narrative here describes the motivation, justification, and evolution of the analysis methods; the input data that constrain the modeling; as well as the stability of our results in the face of future improvements in models.

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Publication Details

Journal
The Astronomical Journal
Published
2026-04-01
DOI
https://doi.org/10.3847/1538-3881/ae4fac
Primary Topic
Stellar, planetary, and galactic studies
Type
article
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article

Attaining Spectral Energy Distributions with Subpercent Uncertainties: All-sky DA White Dwarf Spectrophotometric Standard Stars For Large Telescopes and Surveys

J. B. Holberg, Elena Sabbi, A. Calamida, T. S. Axelrod et al.
The Astronomical Journal
Stellar, planetary, and galactic studies
article

Attaining Spectral Energy Distributions with Subpercent Uncertainties: All-sky DA White Dwarf Spectrophotometric Standard Stars For Large Telescopes and Surveys

J. B. Holberg, Elena Sabbi, A. Calamida, T. S. Axelrod, Sean Points, R. C. Bohlin, Edward W. Olszewski, Benjamin M. Boyd, Jenna Claver, A. Saha, Christopher W. Stubbs, Gautham Narayan, Thomas Matheson, Armin Rest, Susana Deustua, Ivan Hubeny, John W. Mackenty
article en

Abstract

Abstract We present a synopsis of the project to establish 32 new faint (16.5 ≤ V ≤ 19.8) DA white dwarf (DAWD) spectrophotometric standards distributed over the whole sky. Our results validate the use of fully radiative pure hydrogen model fluxes for hot DA white dwarfs to predict the observed broadband fluxes from near-ultraviolet through the near-infrared to accuracies of a few parts per thousand. After fitting the line of sight reddenings simultaneously with the model spectral energy distributions of these stars against spectroscopic and multiband photometric observations, we have shown that residuals have an rms of typically 0.4%. This indicates that the complications from interstellar dust extinction have been adequately mitigated. Our stars supplement the three brighter DAWDs that define the flux scale of CALSPEC. The consequent photometric accuracy, their all-sky coverage, and their brightness range that matches the dynamic range of large telescopes, constitute an unprecedented ensemble of standard stars for both ground as well as space based use. This paper targets readers who may wish to use these as standard stars and provides them with the essential content to understand their strengths and limitations, without traversing the technical details of analysis that are already captured in a series of papers since 2016. The narrative here describes the motivation, justification, and evolution of the analysis methods; the input data that constrain the modeling; as well as the stability of our results in the face of future improvements in models.

The Astronomical JournalVol. 171(5)
Space Telescope Science Institute (US), National Institute of Standards and Technology (US), Harvard University (US), University of Arizona (US), Johns Hopkins University (US), University of Illinois Urbana-Champaign (US), University of Cambridge (GB), Astronomical Observatory of Capodimonte (IT), Université Bourgogne Franche-Comté (FR), Center for Astrophysics Harvard & Smithsonian (US), NSF NOIRLab (US)
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Stellar, planetary, and galactic studies
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