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Comparing the LSST standard pipeline and psf-fitting photometry in extremely crowded fields Veronica Dike, UCLA Michael Rich (UCLA), Christian Johnson (CfA), eljko Ivezi (UW), Colin Slater (UW), Chris Suberlak (UW) Blanco DECam Bulge


  1. Comparing the LSST standard pipeline and psf-fitting photometry in extremely crowded fields Veronica Dike, UCLA Michael Rich (UCLA), Christian Johnson (CfA), Ž eljko Ivezi ć (UW), Colin Slater (UW), Chris Suberlak (UW)

  2. Blanco DECam Bulge Survey (BDBS) PI: R. Michael Rich (UCLA), Co-PI Christian Johnson (CfA), NSF AST-1413755 Credit: W. Clarkson

  3. Blanco DECam Bulge Survey (BDBS) • Total field ~200 deg 2 using Blanco 4m at CTIO • ugrizY photometry • ~8000 exposures of 62-CCD Dark Energy Camera

  4. BDBS Project Goals • Map structure of bulge as a function of age & metallicity using ugrizY photometric metallicity • Look for spatial substructure of certain star populations within the bulge, e.g. blue horizontal- branch stars, metal poor stars • Match stars to Gaia archive for kinematics • Study boxy X-shaped structure • LSST-like dataset is useful for pipeline comparison in crowded fields

  5. BDBS Data Reduction • Dataset greater than 50 TB • Reduction uses psf-fitting pipeline written by Christian Johnson • Based on paralellized version of DAOPHOT • Input: NOAO calibrated fits file for a single CCD • Many CCDs can be run in parallel • Output: log file, psf photometry file, aperture corrections

  6. BDBS Data Reduction • Images calibrated using DAOGROW (Stetson 1990) on calibration fields for aperture correction and zeropoint

  7. Calibrated color-magnitude diagram in Baade’s Window (l,b)=0.9,-4 Potential LSST science includes Foreground mapping disk transients across the Red clump CMD; structure, ages, blue HB metallicities of populations; connection to MS the disk and TO halo

  8. Pipeline Comparison Single BDBS test CCD run through both the BDBS pipeline and LSST stack

  9. Pipeline Comparison • 0.3” matching radius • Photometry residuals show comparable matching • More uncertainty in matching shown at fainter end as photometry errors increase

  10. Pipeline Comparison • BDBS pipeline detects 8589 sources in this CCD exposure • LSST stack detects 4406 • BDBS pipeline counts more faint stars; why?

  11. Future work • Need to analyze more CCDs for a more complete picture • Photemetric error of each pipeline needs to be compared • LSST stack fails for the most crowded fields: approx. 500,000 sources/deg 2 – as tested in Suberlak et al. LSST DTMN 077 • Incorporate some of the features of the BDBS pipeline into the LSST stack?

  12. Summary • BDBS is a survey of the Galactic bulge with the LSST-like Blanco DECam • The BDBS pipeline can be directly compared to the LSST stack • There is work to be done to make the LSST stack work well in crowded fields to allow for Galactic LSST science Credit: CfA

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