Filter Design for Estimation of Stellar Metallicity: Insights from Experiments with Gaia XP Spectra
The Astrophysical Journal Letters(2024)
摘要
We search for an optimal filter design for the estimation of stellar
metallicity, based on synthetic photometry from Gaia XP spectra convolved with
a series of filter-transmission curves defined by different central wavelengths
and bandwidths. Unlike previous designs based solely on maximizing metallicity
sensitivity, we find that the optimal solution provides a balance between the
sensitivity and uncertainty of the spectra. With this optimal filter design,
the best precision of metallicity estimates for relatively bright (G ∼
11.5) stars is excellent, σ_ [Fe/H] = 0.034 dex for FGK dwarf
stars, superior to that obtained utilizing custom sensitivity-optimized filters
(e.g., SkyMapper v). By selecting hundreds of high-probabability member
stars of the open cluster M67, our analysis reveals that the intrinsic
photometric-metallicity scatter of these cluster members is only 0.036 dex,
consistent with this level of precision. Our results clearly demonstrate that
the internal precision of photometric-metallicity estimates can be extremely
high, even providing the opportunity to perform chemical tagging for very large
numbers of field stars in the Milky Way. This experiment shows that it is
crucial to take into account uncertainty alongside the sensitivity when
designing filters for measuring the stellar metallicity and other parameters.
更多查看译文
关键词
Fundamental parameters of stars,Metallicity,Astronomy data analysis,Photometry
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要