large binocular telescope interferometer lbti/nomic data analysis b. mennesson, d. defrère, p....

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Large Binocular Telescope Interferome 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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Page 1: Large Binocular Telescope Interferometer LBTI/NOMIC data analysis B. Mennesson, D. Defrère, P. Hinz, B. Hoffmann, O. Absil, B. Danchi, R. Millan-Gabet,

Large Binocular Telescope Interferometer

LBTI/NOMIC data analysisB. Mennesson, D. Defrère, P. Hinz, B. Hoffmann, O.

Absil, B. Danchi, R. Millan-Gabet, and A. Skemer

Instrument Status ReviewTucson AZ Sep 4 2013

Page 2: Large Binocular Telescope Interferometer LBTI/NOMIC data analysis B. Mennesson, D. Defrère, P. Hinz, B. Hoffmann, O. Absil, B. Danchi, R. Millan-Gabet,

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

Page 3: Large Binocular Telescope Interferometer LBTI/NOMIC data analysis B. Mennesson, D. Defrère, P. Hinz, B. Hoffmann, O. Absil, B. Danchi, R. Millan-Gabet,

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

Page 4: Large Binocular Telescope Interferometer LBTI/NOMIC data analysis B. Mennesson, D. Defrère, P. Hinz, B. Hoffmann, O. Absil, B. Danchi, R. Millan-Gabet,

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

✓✓

Page 5: Large Binocular Telescope Interferometer LBTI/NOMIC data analysis B. Mennesson, D. Defrère, P. Hinz, B. Hoffmann, O. Absil, B. Danchi, R. Millan-Gabet,

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

✓✓✓

Page 6: Large Binocular Telescope Interferometer LBTI/NOMIC data analysis B. Mennesson, D. Defrère, P. Hinz, B. Hoffmann, O. Absil, B. Danchi, R. Millan-Gabet,

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

✓✓✓✓

Page 7: Large Binocular Telescope Interferometer LBTI/NOMIC data analysis B. Mennesson, D. Defrère, P. Hinz, B. Hoffmann, O. Absil, B. Danchi, R. Millan-Gabet,

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

✓✓✓✓✓

Page 8: Large Binocular Telescope Interferometer LBTI/NOMIC data analysis B. Mennesson, D. Defrère, P. Hinz, B. Hoffmann, O. Absil, B. Danchi, R. Millan-Gabet,

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

✓✓✓✓✓✗

Page 9: Large Binocular Telescope Interferometer LBTI/NOMIC data analysis B. Mennesson, D. Defrère, P. Hinz, B. Hoffmann, O. Absil, B. Danchi, R. Millan-Gabet,

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

Page 10: Large Binocular Telescope Interferometer LBTI/NOMIC data analysis B. Mennesson, D. Defrère, P. Hinz, B. Hoffmann, O. Absil, B. Danchi, R. Millan-Gabet,

Large Binocular Telescope Interferometer

Noise mitigation strategies

Concentric Vertical offset Horizontal offset

OBVIOUS DRIFT

Time series of residual background (DARK frames, June 27th 2013 – 55ms)

• Investigated various strategies:

Page 11: Large Binocular Telescope Interferometer LBTI/NOMIC data analysis B. Mennesson, D. Defrère, P. Hinz, B. Hoffmann, O. Absil, B. Danchi, R. Millan-Gabet,

Large Binocular Telescope Interferometer

Noise mitigation strategiesDetector frame

Photometric apertureBackground regions

(optimized for r=0.64l/D)

Corrected

Raw

DIT=21ms

DARKS

Page 12: Large Binocular Telescope Interferometer LBTI/NOMIC data analysis B. Mennesson, D. Defrère, P. Hinz, B. Hoffmann, O. Absil, B. Danchi, R. Millan-Gabet,

Large Binocular Telescope Interferometer

Noise mitigation strategiesDetector frame

Photometric apertureBackground regions

(optimized for r=0.64l/D)

Corrected

Raw

chopping/nodding

DIT=55ms

BACKGROUND

Page 13: Large Binocular Telescope Interferometer LBTI/NOMIC data analysis B. Mennesson, D. Defrère, P. Hinz, B. Hoffmann, O. Absil, B. Danchi, R. Millan-Gabet,

Large Binocular Telescope Interferometer

Noise mitigation strategies

WITHOUT NODDING SUBTRACTION

• 40-min of sky data nodding every ~1min30 (June 27th 2013)

• Offset reduced to ~8 ADU/PSF (+ Gaussian noise)

WITH NODDING SUBTRACTION

DIT=55msDIT=55ms

Page 14: Large Binocular Telescope Interferometer LBTI/NOMIC data analysis B. Mennesson, D. Defrère, P. Hinz, B. Hoffmann, O. Absil, B. Danchi, R. Millan-Gabet,

Large Binocular Telescope Interferometer

Noise mitigation strategies

WITHOUT NODDING SUBTRACTION

• 40-min of sky data nodding every ~1min30 (June 27th 2013)

• Offset reduced to ~8 ADU/PSF (+ Gaussian noise)

WITH NODDING SUBTRACTION

DIT=55msDIT=55ms

Page 15: Large Binocular Telescope Interferometer LBTI/NOMIC data analysis B. Mennesson, D. Defrère, P. Hinz, B. Hoffmann, O. Absil, B. Danchi, R. Millan-Gabet,

Large Binocular Telescope Interferometer

Noise mitigation strategies

Vega on June 27th (40 min of integration)

• Measured Vega’s flux ~ 2.2*105 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

Page 16: Large Binocular Telescope Interferometer LBTI/NOMIC data analysis B. Mennesson, D. Defrère, P. Hinz, B. Hoffmann, O. Absil, B. Danchi, R. Millan-Gabet,

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) withcurrent measured background uncertainty (after spatio/temporal correction of

fluctuations)

Vega ~ 0.6 sec

b Leo ~ 10 sec

Altair ~ 1 sec

Page 17: Large Binocular Telescope Interferometer LBTI/NOMIC data analysis B. Mennesson, D. Defrère, P. Hinz, B. Hoffmann, O. Absil, B. Danchi, R. Millan-Gabet,

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

Page 18: Large Binocular Telescope Interferometer LBTI/NOMIC data analysis B. Mennesson, D. Defrère, P. Hinz, B. Hoffmann, O. Absil, B. Danchi, R. Millan-Gabet,

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

NO

D 0

NO

D 1

Page 19: Large Binocular Telescope Interferometer LBTI/NOMIC data analysis B. Mennesson, D. Defrère, P. Hinz, B. Hoffmann, O. Absil, B. Danchi, R. Millan-Gabet,

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