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The Sloan Digital Sky Survey ImgCutout: The universe at your fingertips

The Sloan Digital Sky Survey ImgCutout: The universe at your fingertips

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The Sloan Digital Sky Survey ImgCutout: The universe at your fingertips

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  1. The Sloan Digital Sky Survey ImgCutout: The universe at your fingertips Maria A. Nieto-Santisteban nieto@pha.jhu.edu Johns Hopkins University

  2. The Sloan Digital Sky Survey ImgCutout: The universe at your fingertips • 1 TByte astronomical database on the internet. • Available to professional astronomers & general public. • A photometric and spectral catalog of 100 million objects.

  3. The big picture of the sky

  4. The big picture of the sky • Each tile corresponds to 5 images taken in different wavelengths by the Sloan telescope. • Originally in FITS format, images are "glued" together to create a JPEG mosaic.

  5. The big picture of the sky • Plates show astronomers the boundaries of spectroscopic observations.

  6. The big picture of the sky • Plates show astronomers the boundaries of spectroscopic observations.

  7. The big picture of the sky • Plates show astronomers the boundaries of spectroscopic observations.

  8. The big picture of the sky • Plates show astronomers the boundaries of spectroscopic observations.

  9. The big picture of the sky • Plates show astronomers the boundaries of spectroscopic observations.

  10. The big picture of the sky • Yellow crosses mark spectroscopic Targets.

  11. The big picture of the sky • Yellow crosses mark spectroscopic Targets. • Red squares indicate actual Spectroscopic observations.

  12. The big picture of the sky • Yellow crosses mark spectroscopic Targets. • Red squares indicate actual Spectroscopic observations. • Blue circles point to Photometric observations.

  13. Looking at data quality • 10 - 15 % of the observations are lost due to bad weather, bright stars, satellite trails, meteors, etc.

  14. Looking at data quality • 10 - 15 % of the observations are lost due to bad weather, bright stars, satellite trails, meteors, etc. • Masks delimit such bad areas.

  15. Looking at data quality • 10 - 15 % of the observations are lost due to bad weather, bright stars, satellites trails, meteors, etc. • Masks delimit such bad areas.

  16. Looking at data quality • 10 - 15 % of the observations are lost due to bad weather, bright stars, satellite trails, meteors, etc. • Masks delimit such bad areas.

  17. Looking at data quality Meteor Trail • Astronomers need to identify bad areas in order to improve their science. Bright Source

  18. Looking at known sources • Astronomers can enter a list of coordinates to get an initial view and decide whether or not proceed further.

  19. Looking at known sources Preparing new observations • Finding charts are invaluable tools when observing with a ‘real’ telescope.

  20. Querying the database for new discoveries Find galaxies with specific spectra: Search for quasars: • Users can search for new objects online and get answers in real time.

  21. Querying the database for new discoveries

  22. Querying the database for new discoveries • These three objects might form a previously unknown lensed quasar!

  23. Querying the database for new discoveries • Photometric data? • Background?

  24. Looking in detail • Digging for more information: • Types and magnitudes • Boundaries

  25. Looking in detail • Digging for more information: • Types and magnitudes • Boundaries • Outlines

  26. Looking in detail • Digging for more information: • Types and magnitudes • Boundaries • Outlines • Photometry, Spectro, Cross Identifications and more …

  27. SkyServer • Photometry, Spectro, Cross Identifications and more from SkyServer

  28. SkyServer • Photometry, Spectro, Cross Identifications and more from SkyServer Quasar Spectrum

  29. Exploring the neighborhood • Select objects.

  30. Exploring the neighborhood • Select objects. • Move around: E – W, N – S.

  31. Exploring the neighborhood • Select objects. • Move around: E – W, N – S.

  32. Exploring the neighborhood • Select objects. • Move around: E – W, N – S. • Recenter.

  33. Exploring the neighborhood • Select objects. • Move around: E – W, N – S. • Recenter. • Zoom in & out.

  34. Exploring the neighborhood • Select objects. • Move around: E – W, N – S. • Recenter. • Zoom in & out.

  35. Exploring the neighborhood • Select objects. • Move around: E – W, N – S. • Recenter. • Zoom in & out.

  36. Exploring the neighborhood • Select objects. • Move around: E – W, N – S. • Recenter. • Zoom in & out.

  37. ImgCutout Visual exploration of • the 1 TeraByte SkyServer database, • its 100 million celestial objects, • their images and spectra, • complex spatial relations, boundaries. Enables instantaneous discoveries.

  38. ImgCutout The Universe at your fingertips… Johns Hopkins University http://skyservice.pha.jhu.edu/dr1/ImgCutout/