Data from HiTS (2015) for fast testing of alert production in the LSST Science Pipelines.
This and other ap_verify "datasets" are based on ap_verify_dataset_template.
Contains DECam data from the HiTS (2015) fields Blind15A_40 and Blind15A_42:
- Visit 411371, Detectors (ccds) 56 and 60
- Visit 411420, Detectors (ccds) 5 and 10
- Visit 419802, Detectors (ccds) 5 and 10
| path | description |
|---|---|
raw |
Raw, compressed DECam fits images from the HiTS (2015) fields Blind15A_40 and Blind15A_42. |
config |
Dataset-specific configs to help the Science Pipelines work with this dataset. |
pipelines |
Dataset-specific pipelines to run on this dataset. |
dataIds.list |
List of dataIds for use in running Tasks. Currently set to run all Ids. |
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. |
scripts |
Scripts and data for generating this dataset. |
To clone and use this repository, you'll need Git Large File Storage (LFS).
Our Developer Guide explains how to setup Git LFS for LSST development.
ap_verify_ci_hits2015 is designed to be run using ap_verify, which is distributed as part of the lsst_distrib package of the LSST Science Pipelines.
This dataset is not included in lsst_distrib and is not available through newinstall.sh.
However, it can be installed explicitly with the LSST Software Build Tool or by cloning directly:
git clone https://github.com/lsst/ap_verify_ci_hits2015/
setup -r ap_verify_ci_hits2015
See the Science Pipelines documentation for more detailed instructions on installing datasets and running ap_verify.