II/374   RGB photometric calibration of 213 million Gaia stars (Carrasco+, 2023)

Photometric Catalogue for Space and Ground Night-Time Remote-Sensing Calibration: RGB Synthetic Photometry from Gaia DR3 Spectrophotometry. Carrasco J.M., Cardiel N., Masana E., Zamorano J., Pascual S., Sqnchez de Miguel A., Gonzalez R., Izquierdo J. <Remote Sensing 15, 1767 (2023)> =2023yCat.2374....0C 2023yCat.2374....0C =https://doi.org/10.3390/rs15071767
ADC_Keywords: Stars, nearby ; Photometry, CCD ; Optical Keywords: ISS - light pollution - multispectral properties of light - GAIA - photometry Abstract: Recent works have made strong efforts to produce standardised photometry in RGB bands. For this purpose, we carefully defined the transmissivity curves of RGB bands and defined a set of standard sources using the photometric information present in Gaia EDR3. This work aims not only to significantly increase the number and accuracy of RGB standards but also to provide, for the first time, reliable uncertainty estimates using the BP and RP spectrophotometry published in Gaia DR3 instead of their integrated photometry to predict RGB photometry. Furthermore, this method allows including calibrated sources regardless of how they are affected by extinction, which was a major shortcoming of previous work. The RGB photometry is synthesised from the Gaia BP and RP low-resolution spectra by directly using their set of coefficients multiplied with some basis functions provided in the Gaia catalogue for all sources published in Gaia DR3. The output synthetic magnitudes are compared with the previous catalogue of RGB standards available. Description: Full Table 2 from the paper, providing RGB magnitude estimates for 213064002 objects in Gaia DR3. File Summary: -------------------------------------------------------------------------------- FileName Lrecl Records Explanations -------------------------------------------------------------------------------- ReadMe 80 . This file table2.dat 103 213064002 Catalogue with RGB magnitudes for Gaia DR3 objects -------------------------------------------------------------------------------- See also: I/355 : Gaia DR3 Part 1. Main source (Gaia Collaboration, 2022) J/MNRAS/504/3730 : Synthetic RGB photometry of bright stars J/MNRAS/507/318 : RGB photometric calibration of 15 million Gaia stars Byte-by-byte Description of file: table2.dat -------------------------------------------------------------------------------- Bytes Format Units Label Explanations -------------------------------------------------------------------------------- 1- 19 I19 --- GaiaDR3 Source identifier in Gaia DR3 21- 35 F15.11 deg RAdeg Right Ascension (ICRS) at Ep=2016.0 37- 51 F15.11 deg DEdeg Declination (ICRS) at Ep=2016.0 53- 59 F7.3 mag Brgb ?=-99 Blue RGB estimate (1) 61- 67 F7.3 mag Grgb ?=-99 Green RGB estimate (1) 69- 75 F7.3 mag Rrgb ?=-99 Red RGB estimate (1) 77- 83 F7.3 mag e_Brgb ?=-99 Uncertainty in Brgb (1) 85- 91 F7.3 mag e_Grgb ?=-99 Uncertainty in Grgb (1) 93- 99 F7.3 mag e_Rrgb ?=-99 Uncertainty in Rrgb (1) 101 I1 --- objtype [0/3] Object type (2) 103 I1 --- qlflag [0/1] Quality flag (3) -------------------------------------------------------------------------------- Note (1): The flag -99.0 is employed in this table to indicate missing values in any of the RGB magnitudes or in their associated uncertainties. Note (2): Object type as follows: 1 = source flagged as nonsinglestar in Gaia 2 = object in inqsocandidates in Gaia 3 = object in ingalaxycandidates in Gaia 0 = none of the above Note (3): Quality flag as follows: 0 = reliable source 1 = potential problem (blending, contamination or non-stellar identification) -------------------------------------------------------------------------------- Acknowledgements: Josep Manel Carrasco, carrasco(at)fqa.ub.edu Nicolas Cardiel, cardiel(at)ucm.es
(End) Patricia Vannier [CDS] 29-Mar-2023
The document above follows the rules of the Standard Description for Astronomical Catalogues; from this documentation it is possible to generate f77 program to load files into arrays or line by line