Processing WideField Imaging data Mike Irwin N 4244
- Slides: 21
Processing Wide-Field Imaging data Mike Irwin
N 4244 confidence map stack 20 dithered i-band frames Subaru 8 m CTIO 4 m KPNO 4 m CFH 3. 6 m INT 2. 5 m ESO 2. 2 m DART
WFPC 2 Suprime. Cam
1000 Tb IPHAS 10 Tb 100 Tb
overall data structure all primary I/O multi-extension FITS files (MEFs) telescope info PHU, detector-specific info SHU raw + processed data stored Rice-compressed = lossless + FITS + efficient + 3 -5 less storage LTO tape backups for offline store reliable transfer of data often a bottleneck object catalogues generated as MEF binary tables
overall processing philosophy pipelines driven by FITS keywords + overall observing structure pipeline processing controlled from scripts use individual software modules for specific tasks use CFITSIO for I/O and access to headers derived QC parameters stored in FITS files database for monitoring QC information + survey progress procedure driven by science requirements
image processing flat sky Stack Master calibration frames fringe objects thermal dark/bias
example - WFCAM processing steps prepare - ingest MEFs, check, index, select, preview, process instrumental signature removal - darks, flats, curtains, cross-talk sky artefact correction - group master skys by time/ OB combine - compute shifts, interleave, stack dithers catalog - detect and parameterise objects [aperture photometry] classify - morphological classification [curve-of-growth] astrometry - astrometric calibration per detector photometry - photometric calibration per pointing [detector gain] check - examine QC, reject bad products, visual inspection
INT WFC example IPHAS data processing automatic internet transfer of data from La Palma fix header problems insert approx. WCS, [linearize] create master bias, flats, [fringe frames] trim, bias-correct, flatfield (inc. gain corr), [defringe] confidence maps, generate catalogues astrometry based on 2 MASS => ICRS * photometry based on nightly stds observations ( 5) Halpha tied to r’ calibration * merge passbands generate CMDs, two-colour diagrams
IPHAS photometric calibration Oct 2005 b r’ i’ Halpha MJD
QC information from catalogues sky brightness + sky noise - estimate depth ? average FWHM of stellar images - seeing ? average ellipticity of stellar images - trailing ? focus ? aperture corrections - peculiar PSF ? astrometry - pointing ? residuals ? NIR = photometric calibration per pointing - extinction ? throughput ? problem images ? optical = photometric calibration per standard field per night -> week
SB Seeing MJD - 50000 Ellipticity
N 5466 r’-band
IPHAS = 7500 x 2 GP fields 20 < l < 220 -5 < b < +5 H emission H absorption
Astrometric Calibration 2 MASS [UCAC, SDSS] WCS - ZPN projection Linear solution per detector rms < 100 mas Tabulated systematics from stacked residuals
Photometric calibration NIR - 2 MASS + FS fields; optical - SAs + SDSS + (skymapper) colour equations to convert to instrumental system 2 MASS s: n> 10 in J, H, Ks and 0 < J-Ks < 1 (GP extinction) NIR 100 -1000 “standards” per pointing; optical 10 -50 required to be stellar and unsaturated (8 m-class imagers) NIR -> Zpt + error per pointing; compare with FS fields optical -> Zpt + error per night/week
WFCAM photometric calibration 20050908 WFCAM K-band Zpt semester 05 B H J Y Z K
Example WFCAM illumination correction 2” diam aperture 4” diam aperture
Panoramic survey of M 33
fin DART
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- Top.down processing