Date

06 Mar 2015

Attendees

• Unknown User (xiuqin)

• Trey Roby

• Loi Ly
• Gregory Dubois-Felsmann
• Unknown User (ciardi)

Goals

• Go through one use case and identify the functions needed for it

Discussion items

• Search the images and object tables (source tables) at the same time
• Meta data for deep coadds are useful at some situations
• From one deep coadd, we should be able to get all the visit images that go into making the coadd
• Try not to close any display view/tab/window because there is something to add to the display, Ciardi would rather close it himself, side by side view of multiple data is highly desired
• Context background image
  • Images to be used (LSST, 2MASS, WISE, ...), consider WWT capabilities as one option, Healpix all sky images from other center?
  • Context background image to be three-color image for better structure information
  • LSST Chi-squared monochrome coadded images for 6 bands, good to see the structure of the sky in 6 bands (could be used to background image)
• LSST coverage/depth map
• interaction between the BG image and the object/source table
  • click on the image, (w/o the sources overlaid), highlight the object (if exists) ob the source table
• Time series
  • one object selected, get all the visit images cutouts for this point, get the cached ones first, then warn users that the other images will take XXX minutes/hours
    • could we know before hand from the source list that the corresponding image is on disk/tape?
    • organization of the images could affect the speed of getting those cutout 
    • movie play, 250 - 1500 - 15000 single visit images for each filter
  • The stack of images should be stretched the same way, same algorithm and same range
  • FITS meta should have all the images we need to do the proper stretch over the stack of images
• Questions:
  • Calibrated visit images, what has been done to them?
  • Could we organize the images by region, to make the cutout fast?
  • Will LSST produce Chi-squared monochrome coadded images for 6 bands
  • Which table records the relationship between deep coadd image and the visit images that are used to make the deep coadd?
• Firefly open API for plugins (to support data analysis performed with LSST data)
  • Firefly can see all the available plugins to display for user to select from
  • user can plug in his own algorithm to do certain thing 
  • user can publish his own plugin for other users:  in git, in his own workspace, 
  • a set of parameters for plugins
  • Firefly can detect the parameters needed for the plugin, and then try to supply ways to gather those data
• XY plot
  
  • needs error bars

Action items

• Type your task here. Use "@" to assign a user and "//" to select a due date.