1 / 18

MIPS Data Processing for SINGS

George J. Bendo & Chad Engelbracht (A ''George's Adventures in Learning OpenOffice'' Presentation). MIPS Data Processing for SINGS. Overview. Brief review of MIPS Description of observational data Data checks Mosaicing data Parallel pipeline processing. MIPS Overview.

thea
Télécharger la présentation

MIPS Data Processing for SINGS

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. George J. Bendo & Chad Engelbracht (A ''George's Adventures in Learning OpenOffice'' Presentation) MIPS Data Processing for SINGS

  2. Overview • Brief review of MIPS • Description of observational data • Data checks • Mosaicing data • Parallel pipeline processing

  3. MIPS Overview Three detector arrays • 128x128 24 mm array • 32x32 70 mm array • 2x20 160 mm array Will provide • Photometric maps • Low-resolution spectra in 55 - 95 mm range

  4. MIPS Observing Modes for SINGS Scan Mapping (or Photometry Mode for smaller targets) • Telescope drifts by targets as mirror in MIPS keeps image steady for multiple adjacent BCDs • Each AOR may contain tens to thousands of individual BCDs • Each observation consists of 2 AORs (for spatial sampling and asteroid rejection) SED Mode • Telescope slit is pointed at a series of adjacent locations to form data cube

  5. Example Data: NGC 3184 Generated simulated data for demonstration • Started with U-band image from NED • Convolved image with MIPS PSFs • Flux calibrated data with IRAS data • Added images to backgrounds provided by H. Dole et al.

  6. Scanned region of NGC 3184 (70 mm)

  7. Example of MIPS Scan Map Data

  8. Pipeline data checks Number of BCDs BCD image size Movement of target from BCD to BCD Noise levels per BCD Data Checks Fits header checks • Basic header keywords • Proposal & observer name • Target name • AOT & AOR information • Observing mode • Integration time • Coordinates • Map or SED observing parameters

  9. Scan Map Keywords SCANRATE REQ160 FASTRES NMAPCYCL NSCANLEG SCANLEN STEPFOR STEPREV List of Fits Header Keywords in Check • OBSRVR • PROGID • SAMPTIME • OBJECT • RA_HMS • DEC_DMS • RA_CMD • DEC_CMD Photometry Super-Resolution Keywords • LARGE24 • NCYCL24 • LARGE70 • NCYCL70 • LARGE160 • NCYCL160 SED Keywords • CHOPDIST • NCYCLES • COLSTEP • ROWSTEP General Keywords • KEYWORD • NAXIS • NAXIS1 • NAXIS2 • TELESCOP • INSTRUME • CHNLNUM • AOT_TYPE • AORLABEL • FILETYPE • FOVID • FOVNAME • ISPRIME • RDOUTMOD

  10. Mosaicing The individual frames will be combined with the mips_enhancer software, which will produce a mosaic of the images as well as enhancing the data. Further checks of the observations will include checking the signal-to-noise ratio of the final data product, checking the quality of the PSF, and comparing the fluxes to IRAS fluxes. The final data products will include the straight mips_enhancer output and trimmed, background-subtracted, resampled versions.

  11. Comparison of Input and Output 24 mm Data

  12. Comparison of Input and Output 70 mm Data

  13. Comparison of Input and Output 160 mm Data

  14. Parallel Pipeline Processing To check the data products from the SSC pipeline, the raw MIPS data will also be processed with developmental software written by the MIPS group • mips_sloper • Processes charge ramps into slopes for all pixels • Removes cosmic rays • Performs transient correction • mips_caler • Data calibrated • Dark current subtracted

  15. Example of Output from mips_sloper

  16. Summary • Prepared series of checks on data output to check observations • Have software for producing simulated data • Have software for mosaicing pipeline data from SSC • Have developmental software for additional parallel pipeline processing

  17. Mosaicer Schedule 5 Sep 2002 (Version 1) • No interpolation (directly from BCD to final mosaicked image) • Distortion correction and outlier rejection Late 2003 (Version 1.n) • MIPS/SINGS review of progress and possible decision to use an intermediate version for SINGS MIPS deliveries • May decide to continue to use version 1 2003-2004 • Add instrumental signatures removal based on redundancy • Iterative approach driven by actual MIPS data • Stim flash latents, long-term drift, ... Late 2004 (Version 2) • Will be used to create the final MIPS SINGS data products

  18. Simulator Schedule Jun 2002 • Given AOR and image, will produce input for mips_enchancer Aug 2002 • Produce input for full MIPS pipeline (charge ramps) including distortions Sep 2002 • Add the capability to do SED AORs Dec 2002 • Add instrumental signatures • Cosmic rays • Stim flash latents • Long term drift

More Related