{"action":"closed","issue":{"url":"https://api.github.com/repos/moustakas/legacyhalos/issues/33","repository_url":"https://api.github.com/repos/moustakas/legacyhalos","labels_url":"https://api.github.com/repos/moustakas/legacyhalos/issues/33/labels{/name}","comments_url":"https://api.github.com/repos/moustakas/legacyhalos/issues/33/comments","events_url":"https://api.github.com/repos/moustakas/legacyhalos/issues/33/events","html_url":"https://github.com/moustakas/legacyhalos/issues/33","id":339423634,"node_id":"MDU6SXNzdWUzMzk0MjM2MzQ=","number":33,"title":"assess how far out we trust the surface brightness profiles; assess uncertainties","user":{"login":"moustakas","id":1431820,"node_id":"MDQ6VXNlcjE0MzE4MjA=","avatar_url":"https://avatars2.githubusercontent.com/u/1431820?v=4","gravatar_id":"","url":"https://api.github.com/users/moustakas","html_url":"https://github.com/moustakas","followers_url":"https://api.github.com/users/moustakas/followers","following_url":"https://api.github.com/users/moustakas/following{/other_user}","gists_url":"https://api.github.com/users/moustakas/gists{/gist_id}","starred_url":"https://api.github.com/users/moustakas/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/moustakas/subscriptions","organizations_url":"https://api.github.com/users/moustakas/orgs","repos_url":"https://api.github.com/users/moustakas/repos","events_url":"https://api.github.com/users/moustakas/events{/privacy}","received_events_url":"https://api.github.com/users/moustakas/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":4,"created_at":"2018-07-09T12:12:10Z","updated_at":"2018-07-14T03:33:11Z","closed_at":"2018-07-14T03:33:11Z","author_association":"OWNER","body":"Our integrated photometry (for each galaxy) as well as the Sersic modeling is sensitive to how far out (in galactocentric radius) we trust the surface brightness profiles.  We need a way to characterize the \"last reliable radius\".\r\n\r\nClosely related:  we need to be sure the uncertainties in the surface brightnesses (at each radius) are sensible / reliable, and include all sources of uncertainty, both random and systematic.  Right now we use the `int_err` attribute of the `photutils.isophote` class, which is the error in the mean intensity, `rms/sqrt(number of data points)`, along the elliptical path:  see [here](http://photutils.readthedocs.io/en/stable/api/photutils.isophote.Isophote.html#photutils.isophote.Isophote)\r\n\r\nHowever, it's not clear that this uncertainty is taking into account the increased sky noise appropriately / correctly in the outer envelope of the galaxy."}}
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