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Merge branch 'tickets/DM-45750'
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kfindeisen committed Oct 23, 2024
2 parents ff260c3 + 0613ec9 commit 00063ce
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3 changes: 2 additions & 1 deletion README.md
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Expand Up @@ -19,7 +19,7 @@ path | description
`raw` | Raw ImSim exposures.
`config` | Dataset-specific configs to help the Science Pipelines work with this dataset, including the butler `export.yaml` file used by `ap_verify.py`
`pipelines` | To be populated with dataset-specific pipelines. Currently contains three example files specialized for ImSim data.
`preloaded` | Starter Butler repo containing a skymap, calibs, coadds to use as difference imaging templates, ImSim refcats covering the relevant sky region, and a pretrained machine learning model for real/bogus classification.
`preloaded` | Starter Butler repo containing a skymap, calibs, coadds to use as difference imaging templates, ImSim refcats covering the relevant sky region, mock APDB outputs based on the raw images, and a pretrained machine learning model for real/bogus classification.
`scripts` | Scripts for regenerating this dataset.

Butler Collections
Expand All @@ -33,6 +33,7 @@ collection | description
`refcats` | Level 7 HTM shards from relevant reference catalogs.
`skymaps` | Skymaps for the template coadds.
`templates/<type>` | Coadd images produced by a compatible version of the LSST pipelines. For example, `deepCoadd` images go in a `templates/deep` collection.
`dia_catalogs` | Catalogs representing the contents of the APDB at the start of each visit.
`models` | Pretrained machine learning models.
`<instrument>/defaults` | A chained collection linking all of the above.

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103 changes: 103 additions & 0 deletions config/export.yaml
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Expand Up @@ -1158,6 +1158,13 @@ data:
name_in_raft: S22
raft: R43
purpose: SCIENCE
- type: dimension
element: group
records:
- instrument: LSSTCam-imSim
name: '943296'
- instrument: LSSTCam-imSim
name: '982985'
- type: dimension
element: physical_filter
records:
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host: null
timespan_begin: null
timespan_end: null
- type: collection
collection_type: RUN
name: dia_catalogs/apdb
host: null
timespan_begin: null
timespan_end: null
- type: collection
collection_type: RUN
name: fake-injection-catalog
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children:
- 2.2i/calib/gen2
- LSSTCam-imSim/calib/curated
- type: collection
collection_type: CHAINED
name: dia_catalogs
children:
- dia_catalogs/apdb
- type: collection
collection_type: CHAINED
name: models
Expand All @@ -1291,6 +1309,7 @@ data:
- skymaps
- LSSTCam-imSim/calib
- refcats
- dia_catalogs
- models
- fake-injection-catalog
- type: dataset_type
Expand Down Expand Up @@ -2818,6 +2837,90 @@ data:
htm7: 147160
path: fake-injection-catalog/injection_catalog/r/injection_catalog_r_147160_fake-injection-catalog.parq
formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter
- type: dataset_type
name: preloaded_diaForcedSources
dimensions:
- instrument
- detector
- group
storage_class: DataFrame
is_calibration: false
- type: dataset
dataset_type: preloaded_diaForcedSources
run: dia_catalogs/apdb
records:
- dataset_id:
- !uuid 'a6b02083-0049-4e7b-9fb3-5d582088dd1b'
data_id:
- instrument: LSSTCam-imSim
detector: 168
group: '943296'
path: dia_catalogs/apdb/preloaded_diaForcedSources/943296/preloaded_diaForcedSources_LSSTCam-imSim_943296_R41_S20_dia_catalogs_apdb.parq
formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter
- dataset_id:
- !uuid '8bb1f479-50e1-403f-bfcd-8e7e2e4524df'
data_id:
- instrument: LSSTCam-imSim
detector: 164
group: '982985'
path: dia_catalogs/apdb/preloaded_diaForcedSources/982985/preloaded_diaForcedSources_LSSTCam-imSim_982985_R41_S02_dia_catalogs_apdb.parq
formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter
- type: dataset_type
name: preloaded_diaObjects
dimensions:
- instrument
- detector
- group
storage_class: DataFrame
is_calibration: false
- type: dataset
dataset_type: preloaded_diaObjects
run: dia_catalogs/apdb
records:
- dataset_id:
- !uuid '723aa650-698b-40d6-b01a-4002b9921ebd'
data_id:
- instrument: LSSTCam-imSim
detector: 168
group: '943296'
path: dia_catalogs/apdb/preloaded_diaObjects/943296/preloaded_diaObjects_LSSTCam-imSim_943296_R41_S20_dia_catalogs_apdb.parq
formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter
- dataset_id:
- !uuid 'be1c1cad-b7e1-4e2f-b0f2-0ec5c66456a5'
data_id:
- instrument: LSSTCam-imSim
detector: 164
group: '982985'
path: dia_catalogs/apdb/preloaded_diaObjects/982985/preloaded_diaObjects_LSSTCam-imSim_982985_R41_S02_dia_catalogs_apdb.parq
formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter
- type: dataset_type
name: preloaded_diaSources
dimensions:
- instrument
- detector
- group
storage_class: DataFrame
is_calibration: false
- type: dataset
dataset_type: preloaded_diaSources
run: dia_catalogs/apdb
records:
- dataset_id:
- !uuid '0b0b85ec-7509-4192-aeb4-3b569aae490f'
data_id:
- instrument: LSSTCam-imSim
detector: 168
group: '943296'
path: dia_catalogs/apdb/preloaded_diaSources/943296/preloaded_diaSources_LSSTCam-imSim_943296_R41_S20_dia_catalogs_apdb.parq
formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter
- dataset_id:
- !uuid '0bbf567e-70a0-43bd-be4a-acf0775e09a7'
data_id:
- instrument: LSSTCam-imSim
detector: 164
group: '982985'
path: dia_catalogs/apdb/preloaded_diaSources/982985/preloaded_diaSources_LSSTCam-imSim_982985_R41_S02_dia_catalogs_apdb.parq
formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter
- type: dataset_type
name: pretrainedModelPackage
dimensions: []
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2 changes: 1 addition & 1 deletion doc/ap_verify_ci_dc2/index.rst
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Expand Up @@ -20,7 +20,7 @@ The input data were chosen arbitrarily, so they are not even suitable for testin
Dataset contents
================

The ``preloaded/`` butler repo contains two overlapping exposures of ``LSSTCam-imSim`` from DC2 ``tract=4431``, with ``patches=(9,10,16,17)``, ``goodSeeingCoadd`` datasets for those patches to make templates from, DC2 refcats covering that region, and skymaps, calibrations, and pretrained ML models necessary to process the data.
The ``preloaded/`` butler repo contains two overlapping exposures of ``LSSTCam-imSim`` from DC2 ``tract=4431``, with ``patches=(9,10,16,17)``, ``goodSeeingCoadd`` datasets for those patches to make templates from, DC2 refcats covering that region, and skymaps, calibrations, mock APDB outputs based on the raw images, and pretrained ML models necessary to process the data.

* visit=982985, detector=164
* visit=943296, detector=168
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