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Large Binocular Telescope Interferometer LBTI/NOMIC data analysis B. Mennesson, D. Defrère, P. Hinz, B. Hoffmann, O. Absil, B. Danchi, R. Millan-Gabet, and A. Skemer Instrument Status Review Tucson AZ Sep 4 2013
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Large Binocular Telescope Interferometer Group activities Detector and background characterization Noise mitigation strategies Optimization of chopping/nodding frequency Definition of data acquisition sequence Computation of key instrument performance indicators Adaptation of statistical reduction technique
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Large Binocular Telescope Interferometer Group activities Detector and background characterization Noise mitigation strategies Optimization of chopping/nodding frequency Definition of data acquisition sequence Computation of key instrument performance indicators Adaptation of statistical reduction technique ✓
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Large Binocular Telescope Interferometer Group activities Detector and background characterization Noise mitigation strategies Optimization of chopping/nodding frequency Definition of data acquisition sequence Computation of key instrument performance indicators Adaptation of statistical reduction technique ✓ ✓
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Large Binocular Telescope Interferometer Group activities Detector and background characterization Noise mitigation strategies Optimization of chopping/nodding frequency Definition of data acquisition sequence Computation of key instrument performance indicators Adaptation of statistical reduction technique ✓ ✓ ✓
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Large Binocular Telescope Interferometer Group activities Detector and background characterization Noise mitigation strategies Optimization of chopping/nodding frequency Definition of data acquisition sequence Computation of key instrument performance indicators Adaptation of statistical reduction technique ✓ ✓ ✓ ✓
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Large Binocular Telescope Interferometer Group activities Detector and background characterization Noise mitigation strategies Optimization of chopping/nodding frequency Definition of data acquisition sequence Computation of key instrument performance indicators Adaptation of statistical reduction technique ✓ ✓ ✓ ✓ ✓
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Large Binocular Telescope Interferometer Group activities Detector and background characterization Noise mitigation strategies Optimization of chopping/nodding frequency Definition of data acquisition sequence Computation of key instrument performance indicators Adaptation of statistical reduction technique ✓ ✓ ✓ ✓ ✓ ✗
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Large Binocular Telescope Interferometer Detector and background Complex spatiotemporal fluctuations Flux-dependent detector behavior Temporal and spatial noise correlation Must be corrected for accurate null measurements Background Detector
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Large Binocular Telescope Interferometer Noise mitigation strategies ConcentricVertical offsetHorizontal offset OBVIOUS DRIFT Time series of residual background (DARK frames, June 27 th 2013 – 55ms) Investigated various strategies:
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Large Binocular Telescope Interferometer Noise mitigation strategies Detector frame Photometric aperture Background regions (optimized for r=0.64 /D) Corrected Raw DIT=21ms DARKS
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Large Binocular Telescope Interferometer Noise mitigation strategies Detector frame Photometric aperture Background regions (optimized for r=0.64 /D) Corrected Raw chopping/nodding DIT=55ms BACKGROUND
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Large Binocular Telescope Interferometer Noise mitigation strategies WITHOUT NODDING SUBTRACTION 40-min of sky data nodding every ~1min30 (June 27 th 2013) Offset reduced to ~8 ADU/PSF (+ Gaussian noise) WITH NODDING SUBTRACTION DIT=55ms
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Large Binocular Telescope Interferometer Noise mitigation strategies WITHOUT NODDING SUBTRACTION 40-min of sky data nodding every ~1min30 (June 27 th 2013) Offset reduced to ~8 ADU/PSF (+ Gaussian noise) WITH NODDING SUBTRACTION DIT=55ms
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Large Binocular Telescope Interferometer Noise mitigation strategies Vega on June 27 th (40 min of integration) Measured Vega’s flux ~ 2.2*10 5 ADU/PSF in 55ms (optimum aperture) Background noise is ~0.2% in 55ms (i.e., 0.07 Jy) Background bias is ~0.004% (i.e., 0.001 Jy) = bias = noise DIT=55ms
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Large Binocular Telescope Interferometer Background Minimum integration time necessary to achieve 3-zodi sensitivity (assuming 1 zodi = 5.10 -5 ). Comparing shot noise on constant background (ideal non realistic case) with current measured background uncertainty (after spatio/temporal correction of fluctuations) Vega ~ 0.6 sec Leo ~ 10 sec Altair ~ 1 sec
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Large Binocular Telescope Interferometer Chopping/nodding frequency Nodding frequency: Remove quasi-static offsets between photometric aperture and background regions Can be slow (a few minutes or more) Chopping frequency: Relaxed thanks to simultaneous background subtraction technique Will be constrained by photometric calibration (more data needed) Likely to be slow Still needed in conjunction of nodding for accurate background removal
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Large Binocular Telescope Interferometer Data acquisition sequence 1 PHOTOMETRIC FRAME - Chop positions: (1,2) - Nod positions: (0,0) L R 2 INTERFEROMETRIC FRAME - Chop positions: (2,2) - Nod positions: (0,0) R+L REF 3 PHOTOMETRIC FRAME - Chop positions: (2,1) - Nod positions: (0,0) R L 4 INTERFEROMETRIC FRAME - Chop positions: (1,1) - Nod positions: (0,0) R+L REF 5 PHOTOMETRIC FRAME - Chop positions: (1,2) - Nod positions: (1,1) L R 6 INTERFEROMETRIC FRAME - Chop positions: (2,2) - Nod positions: (1,1) R+L REF 7 PHOTOMETRIC FRAME - Chop positions: (2,1) - Nod positions: (1,1) R L 8 INTERFEROMETRIC FRAME - Chop positions: (1,1) - Nod positions: (1,1) R+L REF NOD 0 NOD 1
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Large Binocular Telescope Interferometer Statistical reduction technique. Adaptation from NIR Palomar Fiber Nuller not straightforward: 1D to 2D data Higher background at 10microns No single-mode fibers used -> higher phase orders than piston Computation of chopping frequency (photometric calibration) Determination of OPD reset frequency - How long does the NIR OPD target remain valid in the MIR ? - Transverse atm dispersion - Other chromatic effects? Ongoing and future analysis
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Large Binocular Telescope Interferometer Backup slides
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Large Binocular Telescope Interferometer Mitigation of detector drift BEFOR E AFTER
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