On the Performances of Estimating Stellar Atmospheric Parameters from CSST Broad-band Photometry

Kavli Affiliate: Huawei Zhang

| First 5 Authors: Ruifeng Shi, Yang Huang, Xinyi Li, Huawei Zhang,

| Summary:

Deriving atmospheric parameters of a large sample of stars is of vital
importance to understand the formation and evolution of the Milky Way.
Photometric surveys, especially those with near-ultraviolet filters, can offer
accurate measurements of stellar parameters, with the precision comparable to
that from low/medium resolution spectroscopy. In this study, we explore the
capability of measuring stellar atmospheric parameters from CSST broad-band
photometry (particularly the near-ultraviolet bands), based on synthetic colors
derived from model spectra. We find that colors from the optical and
near-ultraviolet filter systems adopted by CSST show significant sensitivities
to the stellar atmospheric parameters, especially the metallicity. According to
our mock data tests, the precision of the photometric metallicity is quite
high, with typical values of 0.17 dex and 0.20 dex for dwarf and giant stars,
respectively. The precision of the effective temperature estimated from
broad-band colors are within 50 K.

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