-
Notifications
You must be signed in to change notification settings - Fork 16
Visualizing sky coverage #151
Copy link
Copy link
Open
Labels
VisualizationTopic area, to help people find projects to work onTopic area, to help people find projects to work onopportunityPossible projects looking for someone to take them on!Possible projects looking for someone to take them on!projectProjects that Stack Club members are working on, defined in the top comment and discussed thereafterProjects that Stack Club members are working on, defined in the top comment and discussed thereafter
Metadata
Metadata
Assignees
Labels
VisualizationTopic area, to help people find projects to work onTopic area, to help people find projects to work onopportunityPossible projects looking for someone to take them on!Possible projects looking for someone to take them on!projectProjects that Stack Club members are working on, defined in the top comment and discussed thereafterProjects that Stack Club members are working on, defined in the top comment and discussed thereafter
Lauren MacArthur pointed us to some nice resources for visualizing sky coverage using the skymaps module.
https://github.com/lsst/skymap
In particular, it is suggested that we look at the examples in
https://github.com/lsst/skymap/tree/master/examples
Another useful resource might be a notebook written by Jim Chiang
https://github.com/LSSTDESC/DC2-analysis/blob/master/tutorials/dm_butler_skymap.ipynb
Additional examples at this DM JIRA ticket:
https://jira.lsstcorp.org/browse/DM-6903
At the coadd level, one can find whether a given (RA, Dec) coordinate is contained within a tract or patch using skymap objects. Apparently, at the moment, it is still not easy to find all the individual CCD images that overlap a given coordinate, but it is recognized that this is needed functionality.
Example visualization:
