Tutorial T-10 Amber Data Reduction (practical point of view) EuroSummer School Observation and data reduction with the Very Large Telescope Interferometer.

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Presentation transcript:

Tutorial T-10 Amber Data Reduction (practical point of view) EuroSummer School Observation and data reduction with the Very Large Telescope Interferometer Goutelas, France June 4-16, 2006 G. Duvert LAOG/JMMC 13 June 2006

VLTI EuroSummer School 2Tuesday June 16, 2006 G. Duvert – Amber Data Reduction AMBER DATA REDUCTION OVERVIEW AMBER paradigm: spatially coded, spectrally dispersed, photometrically monitored, fringes. ● fringes... on an infrared Hawaii Camera: ● camera readout mode ● camera windowing, readout timing ● camera readout noise, bad pixels, flat, etc... ● spectrally dispersed... needs spectral calibration ● wavelength calibration ● spatially coded... needs spatial coding calibration: ● the P2VM

VLTI EuroSummer School 3Tuesday June 16, 2006 G. Duvert – Amber Data Reduction ● fringes...

VLTI EuroSummer School 4Tuesday June 16, 2006 G. Duvert – Amber Data Reduction ●... on an infrared Hawaii Camera: The camera is ALWAYS illuminated (NO shutter) The camera is divided in (max 3) ROWS of (4 or 5), regions: Dark, P1, P2, I [, P3] The READOUT mode used is DOUBLE-CORRELATED « row » « channel »

VLTI EuroSummer School 5Tuesday June 16, 2006 G. Duvert – Amber Data Reduction RAW DATA Fits file: sequence of FITS Tables,described in ESO Doc. No.: VLT-SPE-ESO (a supplementary table, AMBER_WAVELENGTH, contains the spectral calibration) The NDIT camera readouts of duration “DIT” are saved in a raw data fits file containing several Tables. This is the basic product of AMBER

VLTI EuroSummer School 6Tuesday June 16, 2006 G. Duvert – Amber Data Reduction ● camera readout noise, bad pixels, flat, etc Bad Pixels -> “Bad Pixel Map” File 2. BIAS depends on the illumination of the camera and EXPOSURE TIME –> “Dark” Files 3. Relative pixel-to-pixel gain -> “Flat Field Map” File

VLTI EuroSummer School 7Tuesday June 16, 2006 G. Duvert – Amber Data Reduction ● spectrally dispersed......displacement of photometric « channels » - CALIBRATE – 3 or 4 Files...accurate wavelength calibration of the Interferometric « channel »? NO

VLTI EuroSummer School 8Tuesday June 16, 2006 G. Duvert – Amber Data Reduction ● spatially coded... the P2VM: 5 (2T) or 9 (3T) files

VLTI EuroSummer School 9Tuesday June 16, 2006 G. Duvert – Amber Data Reduction Shutters and P2VM calibration files

VLTI EuroSummer School 10Tuesday June 16, 2006 G. Duvert – Amber Data Reduction the P2VM: the « carrying waves: Ck and Dk»

VLTI EuroSummer School 11Tuesday June 16, 2006 G. Duvert – Amber Data Reduction Data Reduction Layout

VLTI EuroSummer School 12Tuesday June 16, 2006 G. Duvert – Amber Data Reduction Sequence of observations:

VLTI EuroSummer School 13Tuesday June 16, 2006 G. Duvert – Amber Data Reduction A dedicated library, amdlib, is pivotal for both observation & data reduction. It is used at the time of observation to find fringes, etc… All the steps for data reduction are available as functions in the amdlib library. These functions can be called from external programs, but amdlib provides also command-line programs to perform the data reduction.

VLTI EuroSummer School 14Tuesday June 16, 2006 G. Duvert – Amber Data Reduction Each raw data file (including those used to obtain calibration files such as the P2VM) must be calibrated for camera cosmetics. Internally each calibrated file is converted to a simpler structure, called ScienceData: -The temporal sequence of 2D Interferograms, untouched. - Each 2D photometric channel is replaced by a 1D photometry vector (1 instantaneous photometry per beam and per wavelength), and associated errors.

VLTI EuroSummer School 15Tuesday June 16, 2006 G. Duvert – Amber Data Reduction A P2VM must be obtained before any Science Data; The P2VM File is computed by the amdlib command amdlibComputeP2vm Using the 5- or 9- calibration files obtained on the internal source of AMBER Usage: amdlibComputeP2vm [-s o1,o2,o3] badPixelMap flatFieldMap dark file1... file9 p2vmFile or amdlibComputeP2vm [-s o1,o2,o3] badPixelMap flatFieldMap dark file1... file4 p2vmFile where o1,o2... is a comma-separated list of shifts for the 2 or 3 photometric channels

VLTI EuroSummer School 16Tuesday June 16, 2006 G. Duvert – Amber Data Reduction The DATA necessary to get visibilities on a Science Object are: ● RAW DATA on a Science Object (AMBER_XXX_OBS_YYY) ● Associated Pixel Bias Map (aka DARK) ● [eventually an associated SKY] ● The P2VM in use at time of the observation. The command amdlibExtractVis does the complete sequence of calibration and visibility, etc., computation using the P2VM, and produces an OI_FITS file: Usage: amdlibExtractVis [-f] [-s] [-b num] [-p PHASOR|PHASE][-e STATISTIC|THEORIC] badPixelMap flatFieldMap p2vm dark sky input output Options: -f to force the use of another P2VM -s split OI-FITS; one file per band -b 'num' to average (bin) over 'num' frames -p PHASOR or PHASE (default) for piston algorithm -e THEORIC or STATISTIC (default) for error bars estimation -c FRG or FLUX criterion for frame selection -r ratio for frame selection

VLTI EuroSummer School 17Tuesday June 16, 2006 G. Duvert – Amber Data Reduction A number of programs already call amdlib and provide and interface to it: -ammYorick, a Yorick implementation by F. Millour (et al). - a scripting interface in the ESO’s gasgano file sorter (to be used this evening) - The ESO pipeline, now to be delivered with a flexible workflow bench, “taverna” and the gasgano interface (next september). -The Final OI_FITS product can be read and used by many generalist data visualisation programs (IDL, gildas, etc…) A number of programs already call amdlib and provide and interface to it: -ammYorick, a Yorick implementation by F. Millour (et al). - a scripting interface in the ESO’s gasgano file sorter (to be used this evening) - The ESO pipeline, now to be delivered with a flexible workflow bench, “taverna” and the gasgano interface (next september). -The Final OI_FITS product can be read and used by many generalist data visualisation programs (IDL, gildas, etc…)

VLTI EuroSummer School 18Tuesday June 16, 2006 G. Duvert – Amber Data Reduction OI_FITS Product: Normalized by the IAU commission and published. (Pauls, T. A.; Young, J. S.; Cotton, W. D.; Monnier, J. D., "A Data Exchange Standard for Optical (Visible/IR) Interferometry", 2005, The Publications of the Astronomical Society of the Pacific, Volume 117, Issue 837, pp ). Has a number of Extensions:

VLTI EuroSummer School 19Tuesday June 16, 2006 G. Duvert – Amber Data Reduction OI-ARRAY Table

VLTI EuroSummer School 20Tuesday June 16, 2006 G. Duvert – Amber Data Reduction OI-TARGET Table:

VLTI EuroSummer School 21Tuesday June 16, 2006 G. Duvert – Amber Data Reduction OI_WAVELENGTH TABLE

VLTI EuroSummer School 22Tuesday June 16, 2006 G. Duvert – Amber Data Reduction OI_VIS2 Table:

VLTI EuroSummer School 23Tuesday June 16, 2006 G. Duvert – Amber Data Reduction OI_T3 Table:

VLTI EuroSummer School 24Tuesday June 16, 2006 G. Duvert – Amber Data Reduction OI_VIS Table:

VLTI EuroSummer School 25Tuesday June 16, 2006 G. Duvert – Amber Data Reduction AMBER_DATA Table This supplementary table contains additional data specific to AMBER: E(NWAVE) PISTON_OPD_DISPERSED e-6 m Piston value for each wavelength E(NWAVE) PISTON_ERR_DISPERSED e-8 m Error associated to PISTON_OPD_DISPERSED D(NWAVE) FRINGE_CONTRAST_SNR_DISPERSED e-1 Fringe contrast SNR per wavelength E PISTON_OPD e-6 m (legacy) Piston value for wavelengths E PISTON_ERR e-8 m (legacy) Error associated to PISTON_OPD D FRINGE_CONTRAST_SNR e-1 (legacy) Fringe contrast SNR D(NWAVE) FLUX_PI_MORE_PJ flux on baseline IJ, total D(NWAVE) FLUX_PI_MORE_PJ_ERR associated error D(NWAVE) FLUX_RATIO_PI_PJ ratio of photometries Pi and Pj D(NWAVE) FLUX_RATIO_PI_PJ_ERR associated error D(NWAVE) PI_MULTIPLIED_BY_PJ product of photometries on baseline IJ

VLTI EuroSummer School 26Tuesday June 16, 2006 G. Duvert – Amber Data Reduction …All will become clearer after some practice!