2023
DOI: 10.1051/0004-6361/202243709
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GaiaData Release 3

Abstract: Gaia Data Release 3 provides novel flux-calibrated low-resolution spectrophotometry for 220 million sources in the wavelength range 330 nm ≤ λ ≤ 1050 nm (XP spectra). Synthetic photometry directly tied to a flux in physical units can be obtained from these spectra for any passband fully enclosed in this wavelength range. We describe how synthetic photometry can be obtained from XP spectra, illustrating the performance that can be achieved under a range of different conditions -for example passband width and wa… Show more

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Cited by 47 publications
(12 citation statements)
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“…Red curves represent the median (P 50 ) of the distributions. Residuals as a function of G magnitude reveal a magnitude-dependent term at the faint end (at G 16): as discussed by Montegriffo et al (2022a), this trend in residuals is interpreted as the result of a systematic overestimation of background in Gaia BP and RP spectra, which causes the actual BP and RP fluxes to be slightly underestimated. This effect was already revealed by Evans et al (2018) by their comparison between Gaia DR2 photometry and external data, where the hockey stick term was first used to describe the observed feature, and by Riello et al (2021), who compared G-band photometry and synthetic G photometry computed on ECS (see their Fig.…”
Section: Landolt Photometrymentioning
confidence: 78%
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“…Red curves represent the median (P 50 ) of the distributions. Residuals as a function of G magnitude reveal a magnitude-dependent term at the faint end (at G 16): as discussed by Montegriffo et al (2022a), this trend in residuals is interpreted as the result of a systematic overestimation of background in Gaia BP and RP spectra, which causes the actual BP and RP fluxes to be slightly underestimated. This effect was already revealed by Evans et al (2018) by their comparison between Gaia DR2 photometry and external data, where the hockey stick term was first used to describe the observed feature, and by Riello et al (2021), who compared G-band photometry and synthetic G photometry computed on ECS (see their Fig.…”
Section: Landolt Photometrymentioning
confidence: 78%
“…The comparison with Hipparcos photometry demonstrates the excellent degree of spatial homogeneity of the synthetic photometry with a relative accuracy of less than 2.7 mmag over 90% of the entire sky. Additional validation by comparison with a large data set of reliable external photometry is provided in Montegriffo et al (2022a). Finally, caution must be exercised when using the spectra of very bright sources because ofv the presence of saturation, especially for sources brighter than G 4.…”
Section: Discussionmentioning
confidence: 99%
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“…We collected V − and I−band photometric observations from OGLE -III (m I,OGLE , m V,OGLE ) photometric maps (for non-variable stars) and from published time-series of LPVs. We further collected G−band mean magnitudes, integrated G Rp spectrophotometry, and synthetic photometry in Johnson-Cousins (m V,syn and m I,syn ) and HST ACS/WFC magnitudes (m F606W,syn and m F814W,syn ) based on Gaia DR3 XP spectra [35,36], cf. Sect.…”
Section: Observational Dataset Usedmentioning
confidence: 99%
“…A.1. Specifically, we used the standardized Gaia synthetic magnitudes from table gaiadr3.source (labeled GSPC) and applied residual zero-point offsets determined by Montegriffo et al [36] with respect to photometric standards (∼ ±0.002 mag). We added the dispersion of the calibration checks (∼ 0.014 mag) to the photometric uncertainties in quadrature.…”
Section: Observational Dataset Usedmentioning
confidence: 99%