{"action":"created","comment":{"url":"https://api.github.com/repos/lsst-dm/dmtn-019/pulls/comments/65419332","id":65419332,"diff_hunk":"@@ -1,83 +1,144 @@\n-..\n-  Content of technical report.\n \n-  See http://docs.lsst.codes/en/latest/development/docs/rst_styleguide.html\n-  for a guide to reStructuredText writing.\n+:tocdepth: 2\n \n-  Do not put the title, authors or other metadata in this document;\n-  those are automatically added.\n+Introduction\n+============\n \n-  Use the following syntax for sections:\n+In order to test Differential Chromatic Refraction (DCR) correction algorithms we first need a metric that quantifies the severity of residual dipoles in difference images, in order to evaluate the performance of the correction. \n+To begin, I used the StarFast simulator (http://dmtn-012.lsst.io, https://github.com/lsst-dm/starfast_simulator) to generate multiple realizations of a couple small fields at u, g, and r bands and across a range of airmasses from 1.0 to 2.0.\n+These simulated images contain a realistic distribution of different stellar types, and using several thousand different model SEDs (interpolated Kurucz models, from sims_photUtils).\n+I then used ingestSimImages.py and processEimage.py from obs_lsstSim to generate standard calibrated exposures, and ran standard LSST image differencing using imageDifference.py with a calibrated exposure near zenith used as the template (using GetCalexpAsTemplateTask).\n \n-  Sections\n-  ========\n+I ran two full simulation runs, each with a different random distribution of stars. \n+For the first, \"Faint\", simulation, I included ~2,500 stars ranging from type M to B with a density of sources roughly equivalent to a typical region of sky at a mid galactic latitude.\n+In the \"Bright\" simulation I used the same total number of stars, but excluded type M stars which accounted for 75% of the number of stars in the \"Faint\" simulation.\n+As a result, the second simulation contains four times as many bright sources and approximately four times the total flux.\n+Each full set of simulations consisted of images of the \"Bright\" or \"Faint\" field in the three bluest LSST filters (u-, g-, and r-band), and at increments of 5 degrees in elevation angle from 30 to 85 degrees.","path":"index.rst","position":25,"original_position":25,"commit_id":"99e975204608dcb0168acf334ef4136bdd9b0388","original_commit_id":"99e975204608dcb0168acf334ef4136bdd9b0388","user":{"login":"djreiss","id":512257,"avatar_url":"https://avatars.githubusercontent.com/u/512257?v=3","gravatar_id":"","url":"https://api.github.com/users/djreiss","html_url":"https://github.com/djreiss","followers_url":"https://api.github.com/users/djreiss/followers","following_url":"https://api.github.com/users/djreiss/following{/other_user}","gists_url":"https://api.github.com/users/djreiss/gists{/gist_id}","starred_url":"https://api.github.com/users/djreiss/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/djreiss/subscriptions","organizations_url":"https://api.github.com/users/djreiss/orgs","repos_url":"https://api.github.com/users/djreiss/repos","events_url":"https://api.github.com/users/djreiss/events{/privacy}","received_events_url":"https://api.github.com/users/djreiss/received_events","type":"User","site_admin":false},"body":"Do you mean zenith angle here? 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