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Precision Projector Lab measurements of crosshatching and ‘brighter-fatter’ in CMOS detectors

Precision Projector Lab measurements of crosshatching and ‘brighter-fatter’ in CMOS detectors. Eric Huff (JPL), Charles Shapiro (JPL), Roger Smith (Caltech) Andres Plazas (Princeton). Local ( Riess 2016). Euclid 15,000 deg 2 , ~1.5 B galaxies. Large Synoptic Survey Telescope

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Precision Projector Lab measurements of crosshatching and ‘brighter-fatter’ in CMOS detectors

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  1. Precision Projector Lab measurements of crosshatching and ‘brighter-fatter’in CMOS detectors Eric Huff (JPL), Charles Shapiro (JPL), Roger Smith (Caltech) Andres Plazas (Princeton)

  2. Local (Riess 2016) Euclid 15,000 deg2, ~1.5 B galaxies Large Synoptic Survey Telescope ~20,000 deg2, ~4B galaxies Wide-Field Infrared Survey Telescope (WFIRST) (the only IR imaging survey) 2000-10000 deg2, 300M-1.6B galaxies

  3. Local (Riess 2016) Euclid 15,000 deg2, ~1.5 B galaxies Large Synoptic Survey Telescope ~20,000 deg2, ~4B galaxies Wide-Field Infrared Survey Telescope (WFIRST) (the only IR imaging survey) 2000-10000 deg2, 300M-1.6B galaxies

  4. WFIRST and Euclid require unprecedented control of systematics in order to be successful. Total Error Budgets (can’t all come from the detector!): Ellipticity (e) errors: O(10-4) Photometry errors: O(10-2) Improvements in statistical power have historically come with new systematics. We typically find new effects when we get the data. e2 = 0.1 e1 = 0.1 |e| = 0

  5. Projector System Features: • Diffraction-limited optics with simple point spread function (PSF). • High image stability through passive damping. • Custom image masks, adjustable f/#, stages & illumination provide a range of signals for investigating various detector effects and mission conditions. • Servo controls on mask and tip-tilt mirror allow fine image positioning for dithering or scanning. • IMageCOMbination algorithm implements WFIRST image reconstruction strategy with dithered, undersampled images. • Dedicated 144 core cluster allows near real-time analysis of 1000’s of images. • Huge multiplexing advantage f/22, l = .880µm Image of 3µm spot grid (emulated stars) Primary mirror in sling mount Detector, filter in dewar Baffles Turntable Integrating spheres connect to LEDs or lamp Secondary mirror with variable pupil (f/8-f/44) on 360o rotational stage 6-axis stage positions one of several target masks Temperature–regulated bench sits on pneumatic legs

  6. Euclid crosshatching study Bad pixels • Cross-hatch pattern easily visible in Y-band (0.97-1.07µm) flats. • Euclid flight detectors look like the upper region with less cross-hatching. • This “feature” may correspond to sub-pixel variations in quantum efficiency (QE) or charge redistribution (like “tree rings” in CCDs), making photometric calibration difficult. • GOAL: Emulate Euclid-like point sources; measure the nature of this pattern and what effect it has on photometry QE ~ 1 QE ~ 0.8 Illumination blocked

  7. Euclid crosshatching study Image of H2RG #18546 taken with iPhone held up to microscope Engineering grade H2RG (#18546) was lent to JPL to investigate the cross-hatch pattern seen in flat-field images. Teledyne Hawaii-2RG, engineering grade ; HgCdTe detector; 18µm pixels, 2k x 2k format; Cutoff wavelength 2.4 µm Pattern is visible under an optical microscope. Related to defects in the HgCdTe crystal? At PPL, H2RG was cooled to 95K, operated by Leach controller at 166 kHz.

  8. Euclid crosshatching study Spot grid focused on 90x90 pixel region of H2RG #18546 A spot grid image (~16,000 spots) covers most of the detector. Spacing = 274.5µm = 15.25 pixels. Using f/11 aperture and 1µm illumination, the minimum spot width with charge diffusion and jitter is ~ 14µm = 0.78 pixels (full-width half-max) The grid was scanned in 6µm step (1/3 pixel) raster pattern Calibrations applied to images: dark subtraction, flat fielding, conversion gain, pixel-wise nonlinearity, “bad” (outlier) pixels set to 0 IPC correction, persistence-sensitive scan strategy A spot is discarded if its centroid comes within 5 pixels of a known bad pixel at any point in the scan

  9. Euclid crosshatching study D(s/mean)averaged over largeregions: GOOD: 0.0002 ± 0.0006BAD: 0.010 ± 0.0005 In a calibrated detector, photometry should not vary with position. Flat-fielding suppresses QE variations larger than 1 pixel but will not remove sub-pixel variation. We map the difference in scatter (s/mean) for individual spot fluxes over sequences of scanned images at different positions (“moving”) or at the same position (“fixed”). “Fixed” sequence = 9 images at same position “Moving” sequence = 10 images in 1/3 pixel steps; spans 3 pixels

  10. Euclid crosshatching study

  11. Euclid crosshatching study Strong Crosshatch Weak Crosshatch The spot photometry is 1.3% noisier in the strongly crosshatched region. Even in the weak region, isolated stripes are not removed

  12. Euclid crosshatching study (1µm) Pixel Nyquist

  13. Euclid crosshatching study

  14. Euclid crosshatching study

  15. Euclid crosshatching study • We see strong evidence that crosshatching is due to sub-pixel QE modulation. • We qualitatively reproduce patterns from our data with simple simulations. • We have now made measurements in both Y and H-bands. These are consistent, but with H suppressed by ~10s of per cent. • The maximum variation in the presence of crosshatching is 3% - 4%.

  16. Charge Deflection Study Photon detected The effective pixel boundaries shift as pixels fill asymmetrically Concept by Roger Smith; Image from Plazas et al 2017

  17. Charge Deflection Study Median profiles of 748 centered spots (<0.1 pix from center) Plazas et al 2017

  18. Charge Deflection Study Neighbor pixels do not balance loss of flux in center pixel fN = (Fi – F1) / <Total Spot Flux> Y-band (1 µm) H-band (1.55 µm)

  19. Crosshatching effect is sub-pixel, present in science-grade detectors • Crosshatching can be calibrated with a dense samping of detector plane • Brighter-fatter/ charge deflection present in CMOS detectors • Brighter-fatter/ charge deflection is not at present fully explained.

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  21. Charge Deflection Study NL corrections are applied pixel-wise Plazas et al 2017 Fluxes computed by differencing sequential frames: “Frame 1.5” = Frame 1 – Frame 2

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