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The Sloan Digital Sky Survey ImgCutout: The universe at your fingertips Maria A. Nieto-Santisteban Johns Hopkins University

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Presentation on theme: "The Sloan Digital Sky Survey ImgCutout: The universe at your fingertips Maria A. Nieto-Santisteban Johns Hopkins University"— Presentation transcript:

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

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 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 Plates show astronomers the boundaries of spectroscopic observations.

6 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 Yellow crosses mark spectroscopic Targets. Red squares indicate actual Spectroscopic observations.

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

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

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

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

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

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

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 observationsLooking at known sources Finding charts are invaluable tools when observing with a ‘real’ telescope.

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

21

22 These three objects might form a previously unknown lensed quasar!

23 Photometric data? Background?

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

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

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

27  Photometry, Spectro, Cross Identifications and more from SkyServer SkyServer

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

29 Exploring the neighborhood Select objects.

30 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. Recenter. Move around: E – W, N – S.

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

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

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

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

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

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


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