{"action":"closed","issue":{"url":"https://api.github.com/repos/chihchunhsu/nirspec_fmp/issues/6","repository_url":"https://api.github.com/repos/chihchunhsu/nirspec_fmp","labels_url":"https://api.github.com/repos/chihchunhsu/nirspec_fmp/issues/6/labels{/name}","comments_url":"https://api.github.com/repos/chihchunhsu/nirspec_fmp/issues/6/comments","events_url":"https://api.github.com/repos/chihchunhsu/nirspec_fmp/issues/6/events","html_url":"https://github.com/chihchunhsu/nirspec_fmp/issues/6","id":366543309,"node_id":"MDU6SXNzdWUzNjY1NDMzMDk=","number":6,"title":"Need to add a \"modelset\" keyword to makeModel","user":{"login":"ctheissen","id":7979844,"node_id":"MDQ6VXNlcjc5Nzk4NDQ=","avatar_url":"https://avatars1.githubusercontent.com/u/7979844?v=4","gravatar_id":"","url":"https://api.github.com/users/ctheissen","html_url":"https://github.com/ctheissen","followers_url":"https://api.github.com/users/ctheissen/followers","following_url":"https://api.github.com/users/ctheissen/following{/other_user}","gists_url":"https://api.github.com/users/ctheissen/gists{/gist_id}","starred_url":"https://api.github.com/users/ctheissen/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ctheissen/subscriptions","organizations_url":"https://api.github.com/users/ctheissen/orgs","repos_url":"https://api.github.com/users/ctheissen/repos","events_url":"https://api.github.com/users/ctheissen/events{/privacy}","received_events_url":"https://api.github.com/users/ctheissen/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":3,"created_at":"2018-10-03T21:48:58Z","updated_at":"2018-10-18T21:45:36Z","closed_at":"2018-10-18T21:45:36Z","author_association":"NONE","body":"I suggest changing the beginning of makeModel.py to:\r\n\r\n\t# read in the parameters\r\n\torder    = kwargs.get('order', 33)\r\n\tmodelset = kwargs.get('modelset', 'btsettl08')\r\n\tlsf      = kwargs.get('lsf', 6.0)   # instrumental LSF\r\n\ttell     = kwargs.get('tell', True) # apply telluric\r\n\tdata     = kwargs.get('data', None) # for continuum correction and resampling\r\n\r\n\t# read in a model\r\n\tmodel = nsp.Model(teff=teff, logg=logg, feh=z, order=order, modelset=modelset)"}}
{"actor":{"display_login":"chihchunhsu"}}