{"action":"created","issue":{"url":"https://api.github.com/repos/DarkEnergyScienceCollaboration/BremertonRoundTrip/issues/6","labels_url":"https://api.github.com/repos/DarkEnergyScienceCollaboration/BremertonRoundTrip/issues/6/labels{/name}","comments_url":"https://api.github.com/repos/DarkEnergyScienceCollaboration/BremertonRoundTrip/issues/6/comments","events_url":"https://api.github.com/repos/DarkEnergyScienceCollaboration/BremertonRoundTrip/issues/6/events","html_url":"https://github.com/DarkEnergyScienceCollaboration/BremertonRoundTrip/issues/6","id":102129038,"number":6,"title":"Calculate shear correlation function from cosmo model","user":{"login":"dkirkby","id":185007,"avatar_url":"https://avatars.githubusercontent.com/u/185007?v=3","gravatar_id":"","url":"https://api.github.com/users/dkirkby","html_url":"https://github.com/dkirkby","followers_url":"https://api.github.com/users/dkirkby/followers","following_url":"https://api.github.com/users/dkirkby/following{/other_user}","gists_url":"https://api.github.com/users/dkirkby/gists{/gist_id}","starred_url":"https://api.github.com/users/dkirkby/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/dkirkby/subscriptions","organizations_url":"https://api.github.com/users/dkirkby/orgs","repos_url":"https://api.github.com/users/dkirkby/repos","events_url":"https://api.github.com/users/dkirkby/events{/privacy}","received_events_url":"https://api.github.com/users/dkirkby/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":{"login":"dkirkby","id":185007,"avatar_url":"https://avatars.githubusercontent.com/u/185007?v=3","gravatar_id":"","url":"https://api.github.com/users/dkirkby","html_url":"https://github.com/dkirkby","followers_url":"https://api.github.com/users/dkirkby/followers","following_url":"https://api.github.com/users/dkirkby/following{/other_user}","gists_url":"https://api.github.com/users/dkirkby/gists{/gist_id}","starred_url":"https://api.github.com/users/dkirkby/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/dkirkby/subscriptions","organizations_url":"https://api.github.com/users/dkirkby/orgs","repos_url":"https://api.github.com/users/dkirkby/repos","events_url":"https://api.github.com/users/dkirkby/events{/privacy}","received_events_url":"https://api.github.com/users/dkirkby/received_events","type":"User","site_admin":false},"milestone":null,"comments":6,"created_at":"2015-08-20T12:38:19Z","updated_at":"2015-08-26T12:20:41Z","closed_at":null,"body":"The goal is to calculate the theory prediction for the thing that we estimate from the data.  We already have a tabulated linear theory P(k). Is there already a relatively standalone piece of code to do this?"},"comment":{"url":"https://api.github.com/repos/DarkEnergyScienceCollaboration/BremertonRoundTrip/issues/comments/134981722","html_url":"https://github.com/DarkEnergyScienceCollaboration/BremertonRoundTrip/issues/6#issuecomment-134981722","issue_url":"https://api.github.com/repos/DarkEnergyScienceCollaboration/BremertonRoundTrip/issues/6","id":134981722,"user":{"login":"slosar","id":1197186,"avatar_url":"https://avatars.githubusercontent.com/u/1197186?v=3","gravatar_id":"","url":"https://api.github.com/users/slosar","html_url":"https://github.com/slosar","followers_url":"https://api.github.com/users/slosar/followers","following_url":"https://api.github.com/users/slosar/following{/other_user}","gists_url":"https://api.github.com/users/slosar/gists{/gist_id}","starred_url":"https://api.github.com/users/slosar/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/slosar/subscriptions","organizations_url":"https://api.github.com/users/slosar/orgs","repos_url":"https://api.github.com/users/slosar/repos","events_url":"https://api.github.com/users/slosar/events{/privacy}","received_events_url":"https://api.github.com/users/slosar/received_events","type":"User","site_admin":false},"created_at":"2015-08-26T12:20:40Z","updated_at":"2015-08-26T12:20:40Z","body":"I just interfaced treecorr with fastcat. It calculates all 5 correlation functions, but since shear=0, four of them are zero at the moment. \r\nTreecorr is 2d, so one really calculate wp=int xi(r) along the line of sight. While you are calculate shear corr fnucs, you should also calculate this one with a Gaussian radial window and the corresponding cross-correlation functions. "}}