1 / 8

How can the non-DES Scientists make use of DES/DEC data?

How can the non-DES Scientists make use of DES/DEC data?. They need the ability to TAKE/REDUCE image data and produce object catalogs (data) They need the ability to DISCOVER (archival) data They need the ability to MOVE data They need the ability to UNDERSTAND data

apu
Download Presentation

How can the non-DES Scientists make use of DES/DEC data?

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. How can the non-DES Scientists make use of DES/DEC data? • They need the ability to TAKE/REDUCE image data and produce object catalogs (data) • They need the ability to DISCOVER (archival) data • They need the ability to MOVE data • They need the ability to UNDERSTAND data • They need the ability to ANALYZE data What observing/reduction recipes will be required? What archival data does the DES/DEC make available? What does the DES/DEC image pipeline produce in standard operations? How does someone discover, understand, and “retrieve” DES/DEC data? Who provides the analysis/reduction engines?

  2. The DES/DEC Data Products • Image data and all related (DES/DEC) • Image catalog data and all related (DES/DEC) • Cluster catalogs (DES) • Weak lensing maps (DES) • Difference Image light curves (DES) • What else?

  3. DES/DEC Community Requirements • What types of image data? • The options: raw images, reduced images, co-added images, calibration images, transmission curves, CCD response curves, raw and reduced metadata (fits headers + external), pixel masks, monitor data, logs, etc.) • The standards: 2MASS: reduced Atlas, Postage Stamps, Large Galaxy Cutouts; SDSS: reduced fields (like 2MASS Atlas); atlases (like 2MASS postage stamps), masks, psf’s, skies, + more; HST (old) calibrated, (new) un-calibrated, logs, data quality assessments; XMM raw un-calibrated

  4. DES/DEC Community Requirements-Catalogs • What’s in the Object Catalogs? • The options: per image SeXtractor outputs, additional module outputs on objects (shape parameters, what else?), co-added object catalogs, clusters, star/galaxy separation, photo-z’s, randoms, completeness corrections, masks, k-corrections, additional value-added-- photometrically IDed QSOs, local density measures, Bulge/Disk ratios, transients, transient difference light curves, anomalies, what else? • The standards: SDSS (all of the above and more); 2MASS 389 columns for XSC: (1) Position; (2) Standard photometry; (3) Large aperture photometry and SB; (4) Misc. photometry and quality (many columns).NDWFS: SeXtractor outputs

  5. Requirements to Take New Data or Use Archival Data? • They need the ability to TAKE/REDUCE image data and produce object catalogs (data) • They need the ability to DISCOVER (archival) data • They need the ability to MOVE data • They need the ability to UNDERSTAND data • They need the ability to ANALYZE data What observing/reduction recipes will be required? What archival data does the DES/DEC make available? What does the DES/DEC image pipeline produce in standard operations? How does someone discover, understand, and “retrieve” DES/DEC data? Who provides the analysis/reduction engines?

  6. Format WCS, scale, distortions Ancillary Data Bias Flats Masks Error Processing History PSFs Absolute/Relative Astrometry Absolute/Relative Photometry Quality Documentation Creation Publications Product Level Reprocessing/Version Size Ownership What INFORMATION is needed about: Images

  7. Image Parents Catalog “WCS”, scale Format Metadata Ancillary Data Masks Completeness Limiting Magnitudes Column Description Processing History PSFs Absolute/Relative Astrometry Absolute/Relative Photometry Quality References Creation Use Statistics Product Level Reprocessing Size Ownership What Information is needed about: Catalogs

More Related