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On-Sky Tests of Sparse-Field Astrometry with GEMS and a 1-meter Telescope

On-Sky Tests of Sparse-Field Astrometry with GEMS and a 1-meter Telescope. S. Mark Ammons Lawrence Livermore National Laboratory. Olivier Guyon ( UofA , Subaru Telescope) Eduardo Bendek ( UofA ) Bruce Macintosh (LLNL) Dmitry Savransky (LLNL ) Benoit Neichel (everywhere). Outline.

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On-Sky Tests of Sparse-Field Astrometry with GEMS and a 1-meter Telescope

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  1. On-Sky Tests of Sparse-Field Astrometry with GEMS and a 1-meter Telescope S. Mark Ammons Lawrence Livermore National Laboratory Olivier Guyon (UofA, Subaru Telescope) Eduardo Bendek (UofA) Bruce Macintosh (LLNL) Dmitry Savransky (LLNL) Benoit Neichel (everywhere)

  2. Outline • Precise sparse-field astrometry enables a wide range of new science for ELTs, including planetary mass measurement • How the diffractive pupil works • A test of the diffractive pupil on a 1-meter telescope • GEMS sparse field astrometric performance

  3. Precision Sparse-Field Astrometry: A Challenging, but Rewarding, Goal for ELTs (and LTs) • Much progress has been made in crowded-field astrometry to date, where both atmospheric tip/tilt anisoplanatism (DTTJ) and instrumental systematics are reduced by shorter astrometric baselines. • But with < 100 μas performance for bright stars in sparse fields, targeted, ground-based astrometric surveys can be valuable for: • planet detection via parent star reflex • mass measurement of exoplanets discovered by direct imaging • What is the role of AO in sparse-field astrometry?

  4. Why Sparse Field Astrometry is Difficult:Error Terms Grow with the Astrometric Baseline • Many error terms have a dependence on the astrometricbaseline (distance between stars) • These include: • - Tip/Tilt Anisoplanatism • - Optical Distortion Errors • - Atmospheric Refraction Crowded field cases Bright star, wide-field cases Relative astrometric error between two stars due to DTTJ

  5. Diffractive Pupil Mask Calibrates Changing Optical Distortion All astrometric distortions (due to change in optics shapes and deformations of the focal plane array) are common to the spikes and the background stars. By referencing the background star positions to the spikes, the astrometric measurement is largely immune to large scale astrometric distortions.

  6. Diffractive Pupil Mask Calibrates Changing Optical Distortion Direct comparison of the spike images between 2 epochs is used to measure the distortion, which is then subtracted from the measurement to produce a calibrated astrometric measurement. O. Guyon, E. Bendek

  7. Combining MCAO with a Diffractive Approach Addresses the Weakness of Each Diffractive Grid MCAO Cancellation of Differential Tilt Jitter (DTTJ) caused by high-altitude turbulence Control of low-order plate scale variations Sharp PSF (better S/N term) Spatially uniform PSF (less PSF modeling error) over a wide field (~2’) Maps epoch-to-epoch changes in distortion simultaneously with observations Stiffness requirement on diffractive grid more forgiving DAR can be calibrated from spike motion (?) Spikes serve as PSF references (?) Pros Potential for epoch-to-epoch systematic changes in distortion (non-common path or changes in WFS zeropoint) Tomographic blind modes introduce uncontrollable distortion errors DTTJ no longer cancelled by multiple DMs Cons

  8. Questions about this Hybrid Diffractive-MCAO Concept • 1. Does the diffractive pupil concept reduce systematic errors in reality? • 2. How large are the systematic errors expected to be in MCAO systems? • 3. What is the expected precision of this hybrid concept?

  9. Questions about this Hybrid Diffractive-MCAO Concept • 1. Does the diffractive pupil concept reduce systematic errors in reality? • 2. How large are the systematic errors expected to be in MCAO systems? • 3. What is the expected precision of this hybrid concept? We address these questions now with two on-sky experiments: 1. Diffractive Grid test on 1-meter telescope 2. Sparse Field Astrometry with GEMS

  10. What is the Expected Random Component of the Astrometric Precision? • Includes DAR, chromatic DAR, Differential T/T jitter, and SNR of stars • 1 hour exposure • I = 4 central star • Reference field: Bahcall & Soneira (1980) star count model to V = 22 • Seeing = 0.8” FWHM • Bandpass = K • Nyquist sampling, 40% Strehl • Precision hits noise floor for 30-meter telescope due to reference star saturation in short exposure times • - Without addressing saturation, practical limit on random error terms Is • ~3-10 microarcseconds for 8-30 meter telescopes

  11. We Test the Diffractive Pupil Concept at Lick Observatory • Stiff CFRP honeycomb mounted at secondary produces diffraction spikes that map changing optical distortion • Experiment designed to average down random errors and reveal systematics • Final generation mask manufactured in San Jose and designed by Eduardo Bendek

  12. Crowded Field Precision without Mask: ~1.4 mas over 4’ • Data taken in NGC 6791(average star separation: 10”) • Precision improves with averaging time, but not brightness, suggesting the atmosphere is limiting at high stellar densities for t < 1 hour

  13. October Run – First run with aperture mask • First generation mask (perforated aluminum) produces diffraction spikes with even intensity across azimuth (as opposed to blocking blades design)

  14. Observations of Hipparcos Stars will Reveal Stellar Parallax 51 Per Carbon mask installed on Nickel Telescope (Credit: Eduardo Bendek) • Second generation carbon mask provides improved throughput over perforated aluminum mask

  15. Diffractive Mask Reduces Systematic Component of Error by ~2x Distant diffraction spike used (similar to no diffractive mask) Closest diffraction spike used - Blue lines: fitted sum of a random and systematic component - Use of closest diffraction spike (reducing astrometric baseline) lowers systematic component by 2x

  16. GEMS experiment: Astrometric calibrator TYC 7122 TYC 7122 is a distant supergiant surrounded by ~20 stars with K < 17 in 90arcsecond field

  17. GEMS short-term precision reaches ~0.5 mas in sparse fields for 2 minute exposure • - For short exposures, GEMS sparse-field precision approaches 0.5 mas for K < 15 • Short term noise floor less than 0.5 mas • For long-term observations – need to keep field on same pixel due to large static distortion

  18. Summary High precision sparse-field astrometry is a challenging goal for large telescopes, but the scientific rewards are great We consider the merging of two techniques: a diffractive pupil for stability on long time baselines and MCAO for high S/N detection On-sky tests of the diffractive grid technique indicate a reduction in the systematic component of the astrometric error by 2x GEMS short-term level of systematic error is less than 0.5 mas (but may be higher over months).

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