Information content of BP/RP spectra in Gaia DR3

Callum E. C. Witten, David S. Aguado, Jason L. Sanders, Vasily Belokurov, N. Wyn Evans, Sergey E. Koposov, Carlos Allende Prieto, Francesca De Angeli, Mike J. Irwin

Published 2022-05-24Version 1

Gaia Data Release 3 will provide the astronomical community with the largest stellar spectroscopic survey to date ($>$ 100 million sources). The low resolution (R$\sim$50) blue photometer (BP) and red photometer (RP) spectra will allow for the estimation of stellar parameters such as effective temperature, surface gravity and metallicity. We create mock Gaia BP/RP spectra and use Fisher information matrices to probe the resolution limit of stellar parameter measurements using BP/RP spectra. The best-case scenario uncertainties that this analysis provides are then used to produce a mock observed stellar population in order to probe the false positive rate (FPR) of identifying extremely metal-poor (EMP) stars. We find that we can confidently identify metal-poor stars at magnitudes brighter than $G = 16$. At fainter magnitudes true detections start to be overwhelmed by false positives. When adopting the commonly-used $G < 14$ magnitude limit for metal-poor star searches, we find a FPR for the low-metallicity regimes [Fe/H] < -2, -2.5 and -3 of just 14$\%$, 33$\%$ and 56$\%$ respectively, offering the potential for a significant improvement on previous targeting campaigns. Additionally, we explore the chemical sensitivity obtainable directly from BP/RP spectra for Carbon and $\alpha$-elements. We find an absolute Carbon abundance uncertainty of $\sigma_{A(C)} < 1$ dex for Carbon-enriched metal-poor (CEMP) stars, indicating the potential to identify a CEMP stellar population for follow-up confirmation with higher resolution spectroscopy. Finally, we find that large uncertainties in $\alpha$-element abundance measurements using Gaia BP/RP spectra means that efficiently obtaining these abundances will be challenging.