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Progress Report on ASPCAP: Atmospheric Parameters and Chemical Abundances

This report reviews the progress of the ASPCAP project as of October 3, 2012, outlining key goals and ongoing tasks. The primary objective is to extract atmospheric parameters like effective temperature (Teff), surface gravity (logg), and metallicity ([M/H]) alongside their error covariances from APOGEE spectra. The report highlights the must-have elements for stellar analysis, necessary precisions, and planned approaches for measuring various elemental abundances. It also outlines important personnel involved in development and testing, along with prioritizing future tasks for upcoming data releases.

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Progress Report on ASPCAP: Atmospheric Parameters and Chemical Abundances

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  1. October 3, 2012 ASPCAP ReviewProgress report and scheduleASPCAP status and goals

  2. ASPCAP Goals • Extract atmospheric parameters (Teff, logg, [M/H]) and their error covariances, and chemical abundances (C N O Na Mg Al Si S K Ca Ti Cr Mn Fe Co Ni) and their uncertainties from APOGEE spectra • Other • Coarse characterization • Identify double-lined spectroscopic binaries • Provide optimal templates for RV measurement • Provide hot-star templates for telluric-line removal Breaking new ground. Never done before automatically.

  3. Science requirements • Must-have (top-priority) elements: C N O Mg Al Si Ca Fe Ni • Important-to-have (medium-priority) elements: Na S Ti Mn K • If-at-all-possible elements: V Cr Co • 0.1 dex internal precision; 0.2 dex external accuracy • Top priority elements to be measured for >80% of the stars with 2 or more lines • Medium priority elements to be measured for >50% of the stars For cool/metal-rich stars requires use of blended/overlapping features

  4. DR10 Scope • Stellar parameters: Teff, log g, [M/H], for apStar • Open issues: • Abundances: [α/Fe], [C/Fe], and [N/Fe] • Parameters for apVisit? • S/N limit • Uncertainties • Zero point errors (e.g., log g) • Repeatability • Noding • Systematic effects (e.g., [M/H] vs Teff correlations)

  5. Personnel • Carlos Allende Prieto: team leader, software development and testing, ASPCAP runner • Szabolcs Meszaros (IAC): PD, model atmospheres, ASPCAP runner, testing using cluster and Kepler stars • Ana Elia Garcia-Perez (UVa): PD, ASPCAP runner, software development and testing • Jon Holtzman (NMSU): software development and testing, ASPCAP runner, testing using Kepler stars • Matthew Shetrone (HET): Line lists, “manual” abundance analysis of cluster stars • Lars Kosterke: software development • Verne Smith (NOAO/ON): Abundance analysis of FTS stars • Katia Cunha (NOAO/ON): “Manual” abundances of field stars • New additions: Maria Bergemann (postdoc, MPIA), Nick Trout (graduate student, UVa)

  6. Priorities • Select “official” version of ASPCAP and tag it • Establish content of DR10 • Uncertainties • Repeatability • Verify reality of [α/Fe], [C/Fe], [N/Fe], using cluster, FTS stars • Systematics: log g mismatch, Teff-[M/H] correlation – Kepler stars • Noding • Define test/verification sample • Combination of Kepler, cluster, standard stars • Representative sample, covering full range of parameter space • Define next batch of elemental abundances for DR11 • Balance scientific interest with easiness • Define spectral regions for elemental abundances • Plan incorporation of additional effort (Bergemann, Trout)

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