September 16, 2008LSST Camera F2F1 Camera Calibration Optical Configurations and Calculations Keith Bechtol Andy Scacco Allesandro Sonnenfeld.

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Presentation transcript:

September 16, 2008LSST Camera F2F1 Camera Calibration Optical Configurations and Calculations Keith Bechtol Andy Scacco Allesandro Sonnenfeld

September 16, 2008LSST Camera F2F2 Objectives Efficiently calibrate pixel response over entire camera focal plane to level ~ 0.1% Identify ghosting effects Model camera optics – ZEMAX Propose two calibration techniques 1) “Artificial Star” (Scacco and Sonnenfeld) 2) “Headlight” test beam

September 16, 2008LSST Camera F2F3 Load standard LSST optical deck Consider only the camera –Three lenses –Filter –CCD surface Optical Deck

September 16, 2008LSST Camera F2F4 “Artificial Star” Calculations Reference Photodiode Photodiode Array (or Telescope) Not To Scale L1 L2 Filter L3 FPA 30  m (Approximate FWHM of LSST PSF at 0.6 arc-sec seeing.) Optical Source 14 – 23.6 degrees Reflectivity R ~ 0.3%. 300  m (4cm away) (Not all reflections shown.)

September 16, 2008LSST Camera F2F5 Sequential ZEMAX Model Focal Plane Spot Size Distance from FPA Center (mm) Focused pin-hole beam from quartz lamp and monochromator (length of optical source  1.4m). Scacco and Sonnenfeld “Artificial Star” Calculations

September 16, 2008LSST Camera F2F6 “Headlight” test beam parallel to optical axis Run ZEMAX in non-sequential mode L1, L2, and L3 –Quarter-wavelength magnesium-fluoride AR coating CCD treated as reflective surface –Scatter fraction = 0.33 (n = 3.6 for Si) –Lambertian angular distribution (scattered intensity is proportional to the cosine of the angle with surface normal) –Quarter-wavelength magnesium-fluoride followed by half-wavelength of lanthanum-oxide AR coating Methodology Lambertian scattering

September 16, 2008LSST Camera F2F7 Scan test beam over pixels in series of exposures Each pixel traces out beam intensity profile If the spatial profile of the test beam intensity does not change significantly over the characteristic size of the beam at the focal plane, we can compare the response of nearby CCD pixels General Strategy What is the optimal test beam size? How should we scan the test beam?

September 16, 2008LSST Camera F2F8 1 cm Beam Intensity Profile Center of focal plane (0,0) 5 cm offset from center (5cm,0) Test beam intensity profile at focal plane – radial slices Notice rapid change in beam intensity profile! Significant features on 0.1% level

September 16, 2008LSST Camera F2F9 10 cm Beam Intensity Profile Center (0,0) Offset 125 cm (125cm,0) Offset 250 cm (250cm,0) Test beam intensity profiles at focal plane – radial slices Intensity profile of larger test beam is more stable

September 16, 2008LSST Camera F2F10 A Comment on Statistics Intensity fluctuations readily apparent in 20 minute simulation Fortunately, we can do much better with a real test beam Full well potential ~ eˉ High QE Collect N ~ photons in single exposure σ = sqrt(N)/N ~ With multiple exposures, can reach 0.1% level accuracy

September 16, 2008LSST Camera F2F11 10 cm Beam Scoring Plane Center 10 cm diameter beam over a grid of positions (250,250)(125,250)(0,250) (250,125)(125,125)(0,125) (250,0)(150,0)(0,0) Test beam positions in cm Plot incoherent irradiance (W / cm²) on log scale

September 16, 2008LSST Camera F2F12 Ghosting Analysis No filter L1L2L3

September 16, 2008LSST Camera F2F13 Ghosting Analysis No filter L1+L2L1+L3L2+L3

September 16, 2008LSST Camera F2F14 Wavelength Dependence LSST camera range nm AR coatings are wavelength dependent Optimize for 700 nm light 400 nm test beam700 nm test beam1000 nm test beam

September 16, 2008LSST Camera F2F15 1.Produce test beam several cm in diameter 2.Scan outwards in radial direction 3.Fit shape of beam intensity profile 4.Scan in concentric circles Suggested Procedure Beam intensity profile changes continuously while going outwards Step 1:Step 4: Take advantage of azimuthal symmetry Relative calibration possible independent of exact model results

September 16, 2008LSST Camera F2F16 CCD surface most challenging element to model –Scoring pattern strongly dependent on CCD surface properties –Observe ghosts to understand CCD reflection Use ghost patterns to determine relative positions Include diffraction in simulations Use test beams of various wavelengths to parse QE from pre-amp gain Future Directions