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High Precision Astrometry and Parallax from Spatial Scanning

High Precision Astrometry and Parallax from Spatial Scanning. Part 2 Adam Riess and Stefano Casertano. Distortion at the milli - pixel level. Spatial Scanning Provides measurement 1D * precision of < 1 millipix w hich demands comparable control of distortions across frames. millipixels.

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High Precision Astrometry and Parallax from Spatial Scanning

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  1. High Precision Astrometry and Parallax from Spatial Scanning Part 2 Adam Riess and Stefano Casertano

  2. Distortion at the milli-pixel level Spatial Scanning Provides measurement 1D* precision of < 1 millipix which demands comparable control of distortions across frames millipixels *measurement direction always ΔX

  3. Combining Frames: Scale and Rotation • Scale change and rotation of scan orientation • Rotation apparent even in back-to-back scansusing same guide stars • Rotation of scanorientby a few arcsec, solved for in frame-to-frame registration • Scale change mostly time-dependent velocity aberration, we interpolateva(t)x,y • Each accounts for up to ~20 mpix (800 as) in measured trail separation Sequential scans— correlation star pairs ΔY vs ΔX due to global scan axis rotations

  4. Combining Frames: Low Order Distortions • Residual geometric distortion • Amplitude up to 5 mpix (200 as) • Typically well-fitted by registration with low (2nd/3rd order) polynomial in ΔX (x,y) • After correction, residuals match to<1 mpix (40 as) for long, high S/N trails • Polynomial corrections show correlation w/ model focus/breathing • Call this time-dependent or breathing dependent distortion, expected

  5. Combining Frames: Fine Structure • Also see static, fine structureresiduals along scan (Y) relative to X • residuals of about 5 mpix scale correlated on 10^2 pixel scale • orbit phase, breathing independent as seen scans separated by min, hrs, up to 10 days • Only apparent between scans with large shifts or local to a scan line, i.e. Y vs. X-<X> • Averages down for long lines but important loss of precision for short lines

  6. Residuals That Persist for Years Comparing these static residuals in ΔX in X,Y spatial bins (100x100 pixels) across a year for M35 and Cepheid field stars shows strong correlation. Such residuals expected from PSF map (see Murphy’s Law) In Cycle 22 we will map these residuals on 50 pix scale using 20 dithers of scans in M67,M48 to make a look-up table. Also useful for staring mode.

  7. A challenge for (bright) Cepheids: Dynamic range Deep scan (F606W) Cepheid saturated ~40 usable trails Shallow scan (F673W) Cepheid not saturated ~8 usable trails Pair shallow and deep scansasline separation filter independent, anchor Cepheid to all reference stars

  8. Current Progress: 40 epochs for 19 Cepheids… full residuals Reduction to absolute from reference star distances using 12 bands+spectroscopy, e.g., σD=0.3 mag for red giant at 8 kpc => 18 mas, typical field ~ 10-12 mas

  9. First Results from Pilot Program…Sample of19underway Proper Motion subtracted, Parallax measurements field stars & Cepheid 8 kpc (p=125 μas 15% error) 250 pc (p=4mas 1.8% error) 2.3 kpc (Riess et al 2014 ApJ, arXiv1401.0484R) Cepheid

  10. Cepheid Parallax Measurements Given field, catalog, MW model, can fully simulate multi-epoch scans, final uncertainty Simulated results for 20 Cepheids After 5 epochs, Cycle 20-22, twice number, precision of FGS set + HST photometry + log P > 1 Expect to reach sH0~1.8% when done, double current

  11. The End

  12. Reduction to absolute parallax • Each field contains 30-100 reference stars • Will obtain multiband photometry (UVIS broad + medium filters, WFC3 IR, 2MASS) + spectra + stellar models to estimate individual distances • Typical uncertainty < 0.3 mag (15% in distance) • One red giant at 8 kpc => 18 mas • All stars contribute; distant stars give best constraints • Estimated final uncertainty ~ 10-12 mas / field Incorrect reduction to absolute produces systematic bias in the estimated distance modulus Incorrect luminosity scale produces systematic bias in parallaxes of nearby objects

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