The Astrophysical Journal Supplement Series (Jan 2023)

J-PLUS: Photometric Recalibration with the Stellar Color Regression Method and an Improved Gaia XP Synthetic Photometry Method

  • Kai Xiao,
  • Haibo Yuan,
  • C. López-Sanjuan,
  • Yang Huang,
  • Bowen Huang,
  • Timothy C. Beers,
  • Shuai Xu,
  • Yuanchang Wang,
  • Lin Yang,
  • Jailson Alcaniz,
  • Carlos Andrés Galarza,
  • Raul E. Angulo De La Fuente,
  • A. J. Cenarro,
  • David Cristóbal-Hornillos,
  • Renato A. Dupke,
  • Alessandro Ederoclite,
  • Carlos Hernández-Monteagudo,
  • Antonio Marín-Franch,
  • Mariano Moles,
  • Laerte Sodré Jr.,
  • Héctor Vázquez Ramió,
  • Jesús Varela López

DOI
https://doi.org/10.3847/1538-4365/ad0645
Journal volume & issue
Vol. 269, no. 2
p. 58

Abstract

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We employ the corrected Gaia Early Data Release 3 photometric data and spectroscopic data from the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) DR7 to assemble a sample of approximately 0.25 million FGK dwarf photometric standard stars for the 12 J-PLUS filters using the stellar color regression (SCR) method. We then independently validate the J-PLUS DR3 photometry and uncover significant systematic errors: up to 15 mmag in the results from the stellar locus method and up to 10 mmag primarily caused by magnitude-, color-, and extinction-dependent errors of the Gaia XP spectra as revealed by the Gaia BP/RP (XP) synthetic photometry (XPSP) method. We have also further developed the XPSP method using the corrected Gaia XP spectra by B. Huang et al. and applied it to the J-PLUS DR3 photometry. This resulted in an agreement of 1–5 mmag with the SCR method and a twofold improvement in the J-PLUS zero-point precision. Finally, the zero-point calibration for around 91% of the tiles within the LAMOST observation footprint is determined through the SCR method, with the remaining approximately 9% of the tiles outside this footprint relying on the improved XPSP method. The recalibrated J-PLUS DR3 photometric data establish a solid data foundation for conducting research that depends on high-precision photometric calibration.

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