Chemical Mapping of the Milky Way With The Canada-France Imaging Survey: A Non-parametric Metallicity-Distance Decomposition of the Galaxy
Rodrigo Ibata, Alan McConnachie, Jean-Charles Cuillandre, Nicholas, Fantin, Misha Haywood, Nicolas F. Martin, Piere Bergeron, Volker Beckmann,, Edouard Bernard, Piercarlo Bonifacio, Elisabetta Caffau, Raymond Carlberg,, Patrick C\^ot\'e, R\'emi Cabanac, Scott Chapman

TL;DR
This study uses combined photometric data from CFHT, SDSS, and Pan-STARRS to map the Milky Way's chemical composition and develop a non-parametric method for decomposing stellar populations by metallicity and distance.
Contribution
It introduces a novel non-parametric algorithm for metallicity-distance decomposition and applies it to extensive survey data to analyze the Milky Way's stellar populations.
Findings
Metallicity of stars can be reliably measured to ~0.2 dex.
The Milky Way's stellar halo has an exponential vertical density profile.
Three main stellar populations are identified with consistent metallicity distributions.
Abstract
We present the chemical distribution of the Milky Way, based on 2,900 of -band photometry taken as part of the Canada-France Imaging Survey. When complete, this survey will cover 10,000 of the Northern sky. By combing the CFHT -band photometry together with SDSS and Pan-STARRS and , we demonstrate that we are able to measure reliably the metallicities of individual stars to dex, and hence additionally obtain good photometric distance estimates. This survey thus permits the measurement of metallicities and distances of the dominant main-sequence population out to approximately 30 kpc, and provides much higher number of stars at large extraplanar distances than have been available from previous surveys. We develop a non-parametric distance-metallicity decomposition algorithm and apply it to the sky at and…
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