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

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


1
The Sloan Digital Sky Survey ImgCutout The
universe at your fingertips
Maria A. Nieto-Santisteban nieto_at_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
Preparing new observations
Looking at known sources
  • 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
The Universe at your fingertips
ImgCutout
Johns Hopkins University http//skyservice.pha.jh
u.edu/dr1/ImgCutout/
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