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The Universe in a Whole New Light

Joe DePasquale& Kim Arcand

AVM and Chandra: AVM and Chandra: An Update on An Update on

Lessons LearnedLessons Learned

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The Universe in a Whole New Light

Since 2008, all Chandra release .tiff images, past & present, have contained AVM metadata.

Lesson learned: Simple enough to do by hand with a template, but better to do dynamically through the web database.

Chandra web team ported a web version of VAMP's online AVM tool which dynamically connects to Chandra's database and loads the necessary information into an AVM ready file in XMP format.

Chandra Images & Metadata

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The Universe in a Whole New Light

Flickr Commons

http://www.flickr.com/

SI Photography Initiative

http://photography.si.edu/

WorldWide Telescope

http://worldwidetelescope.org/

Sky in Google Earth

http://earth.google.com/

Google Sky

http://www.google.com/sky/

Wikisky

http://www.wikisky.org/

Digital Planetariums, etc

Numerous uses for the tagged image files:

Chandra Images & Metadata

Lesson learned: If you do something useful, people will use it (maybe). And, it helps to have more people power to get “extra projects” done.

Partially dependent on getting the WCS into more images, however, and we hope to push more images into the digital environments, instead of just a handful.

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The Universe in a Whole New Light

Approximately 35 Chandra images (out of hundreds available) have WCS embedded in them.

Lesson learned: Adding WCS to X-ray data is still cumbersome – but worth it.

Pinpoint WCS: extremely versatile and easy to useAstrometry.net: all goes well if FoV > 3 arcmin across with optical data. Layer the optical data in and we get the WCS. If not: Background star fileMatch image with FITS that has similar FoV and WCS information (in progress). Plus Python scripts to use WWT for visual inspection and correction of WCSAVM information.

Chandra Images & Metadata

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The Universe in a Whole New Light

What’s next?• Debugging of Pinpoint sw & finalization of auto-fill AVM pipeline on Chandra servers.• Tag additional resource files and supplementary images/video• Do more content within the digital environments.• Building python code on top of exempi python module developed by L. Holmes (Python-XMP-Toolkit) for AVM automation.• Automatic AVM workflow through Pinpoint, Astrometry.net, Python-XMP-Toolkit, custom code.

Chandra Images & Metadata

“AVM Explorer” to allow easier WCS matching and AVM editing, all in one program. The WCS matching would be automated where you could drop an image into the left box and a FITS file in the right. Using photometry & source matching, WCS map could be fitted to the image. After dropping in the images you click on the match button and detected sources would be shown for visual inspection. The editor on the right is an easy AVM editor. AVM tools are spread out, and not collected into one easy program for usage. This program, the AVM Explorer would do that.