A reanalysis of the Gaia Data Release 2 photometric sensitivity curves using HST/STIS spectrophotometry

TL;DR

This paper reanalyzes Gaia DR2 photometric sensitivity curves using high-quality HST/STIS spectrophotometry, resulting in improved definitions that reduce discrepancies and enhance calibration accuracy for the G, BP, and RP bands.

Contribution

It introduces new sensitivity curves for Gaia DR2 photometry based on an expanded, high-quality spectral library, addressing previous inconsistencies and biases.

Findings

New sensitivity curves significantly outperform previous ones.

Confirmed and corrected systematic biases in G and BP bands.

Better fit to spectral data and color-color diagrams.

Abstract

CONTEXT: The second Gaia data release (DR2) took place on April 2018. DR2 included photometry for more than 1.3 10^9 sources in G, BP, and RP. Even though Gaia DR2 photometry is very precise, there are currently three alternative definitions of the sensitivity curves that show significative differences. AIMS: The aim of this paper is to improve the quality of the input calibration data to produce new compatible definitions of the three bands and to identify the reasons for the discrepancies between previous definitions. METHODS: We have searched the HST archive for STIS spectra with G430L+G750L data obtained with wide apertures and combined them with the CALSPEC library to produce a high quality SED library of 122 stars with a broad range of colors, including three very red stars. We have used it to compute new sensitivity curves for G, BP, and RP using a functional analytical formalism. RESULTS: The new curves are significantly better than the two previous attempts, REV and WEI. For G we confirm the existence of a systematic bias in magnitude and correct a color term present in REV. For BP we confirm the need to define two magnitude ranges with different sensitivity curves and measure the cut between them at G = 10.87 with a significant increase in precision. The new curves also fit the data better than either REV or WEI. For RP we obtain a sensitivity curve that better fits the STIS spectra and we find that the differences with previous attempts reside in a systematic effect between ground-based and HST spectral libraries. Additional evidence from color-color diagrams indicate that the new sensitivity curve is more accurate. Nevertheless, there is still room for improvement in the accuracy of the sensitivity curves because of the current dearth of good-quality red calibrators: adding more to the sample should be a priority before Gaia data release 3 takes place.