{"id":21375392,"url":"https://github.com/lsst/ap_verify_ci_hits2015","last_synced_at":"2025-10-27T08:15:05.335Z","repository":{"id":38429292,"uuid":"142358650","full_name":"lsst/ap_verify_ci_hits2015","owner":"lsst","description":"Data from HiTS (2015) for fast testing of alert production in the LSST DM stack. 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ap_verify_ci_hits2015\n\nData from HiTS (2015) for fast testing of alert production in the LSST Science Pipelines.\n\nThis and other `ap_verify` \"datasets\" are based on [ap_verify_dataset_template](https://github.com/lsst-dm/ap_verify_dataset_template).\n\nContains DECam data from the HiTS (2015) fields `Blind15A_40` and `Blind15A_42`:\n\n* Visit 411371, Detectors (ccds) 56 and 60\n* Visit 411420, Detectors (ccds) 5 and 10\n* Visit 419802, Detectors (ccds) 5 and 10\n\nRelevant Files and Directories\n-----\npath                  | description\n:---------------------|:-----------------------------\n`config`              | Dataset-specific configs to help the Science Pipelines work with this dataset.\n`doc`                 | Contains Sphinx package documentation for the dataset.\n`pipelines`           | Dataset-specific pipelines to run on this dataset.\n`preloaded`           | Starter Gen3 Butler repo containing a skymap, DECam Community Pipeline MasterCalibs from the 2015 HiTS campaign, deep g-band coadds for use as differencing templates, Gaia and PS1 reference catalogs in HTM format for regions overlapping any visit in the dataset, mock APDB outputs based on the raw images, and a pretrained machine learning model for real/bogus classification.\n`raw`                 | Raw, compressed DECam fits images from the HiTS (2015) fields `Blind15A_40` and `Blind15A_42`.\n`scripts`             | Scripts and data for generating this dataset.\n\nGit LFS\n-------\n\nTo clone and use this repository, you'll need Git Large File Storage (LFS).\n\nOur [Developer Guide](http://developer.lsst.io/en/latest/tools/git_lfs.html) explains how to setup Git LFS for LSST development.\n\nUsage\n-----\n\n`ap_verify_ci_hits2015` is designed to be run using [`ap_verify`](https://pipelines.lsst.io/modules/lsst.ap.verify/), which is distributed as part of the `lsst_distrib` package of the [LSST Science Pipelines](https://pipelines.lsst.io/).\n\nThis dataset is not included in `lsst_distrib` and is not available through `newinstall.sh`.\nHowever, it can be installed explicitly with the [LSST Software Build Tool](https://developer.lsst.io/stack/lsstsw.html) or by cloning directly:\n\n    git clone https://github.com/lsst/ap_verify_ci_hits2015/\n    setup -r ap_verify_ci_hits2015\n\nSee the Science Pipelines documentation for more detailed instructions on [installing datasets](https://pipelines.lsst.io/modules/lsst.ap.verify/datasets-install.html) and [running `ap_verify`](https://pipelines.lsst.io/modules/lsst.ap.verify/running.html).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flsst%2Fap_verify_ci_hits2015","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flsst%2Fap_verify_ci_hits2015","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flsst%2Fap_verify_ci_hits2015/lists"}