Loading docs/agile_dr1.rst 0 → 100644 +61 −0 Original line number Diff line number Diff line AGILE DR1 ========= The AGILE DR1 dataset is described here: https://www.oa-roma.inaf.it/lsst-agn/2026/02/04/the-agile-first-data-release-dr1/ The AGILE DR1 dataset is available here: https://drive.google.com/drive/u/0/folders/1xxaBrTamUZ5U3ncuG5VtkEIiF76UCghK What is contained in the AGILE DR1 dataset ------------------------------------------ master.db: catalogs ^^^^^^^^^^^^^^^^^^^ We provide the whole DR1 (catalog) dataset as a single database which we refer to as `master.db`. It is a sqlite3 file and contains the following tables: - CcdVisit -- Information about CCDs of LSST visits - MatchesTruth -- Matches between the `Object` and `Truth` tables - Source -- Detections from single visits - Visit -- Information about LSST visits - ForcedSource -- Forced photometry on coadded image detections - Object -- Coadded image detections - Truth -- The AGILE truth catalog The schema of each table follows closely that of DP0.2: (see here https://dp0-2.lsst.io/data-products-dp0-2/index.html and here https://dp0-2.lsst.io/data-products-dp0-2/index.html#id3). To access the tables, you can use `sqlite3` (https://sqlite.org/cli.html) or the python3 package `sqlite3` (https://docs.python.org/3/library/sqlite3.html) together with `pandas` (https://pandas.pydata.org/). For example, to retrieve the first 10 rows of the `Object` table, one could use: :: # sh sqlite3 master.db 'SELECT * FROM Object LIMIT 10' Or alternatively in python :: # python import sqlite3 import pandas as pd with sqlite3.connect("master.db") as con: df = pd.read_sql_query("SELECT * FROM Object LIMIT 10", con) repo_public: images and catalogs ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ `repo_public` is a `butler` repository (https://pipelines.lsst.io/modules/lsst.daf.butler/index.html) containing the AGILE DR1 simulated images. To access the image via `butler`, the LSST Science Pipelines (https://pipelines.lsst.io/) are required. We demonstrate the usage of accessing the images and analyzing them in the notebook `agile_image.ipynb`, which is available in the DR1 repository: https://drive.google.com/drive/u/0/folders/1xxaBrTamUZ5U3ncuG5VtkEIiF76UCghK docs/index.rst +1 −0 Original line number Diff line number Diff line Loading @@ -58,4 +58,5 @@ Useful resources self installation userguide agile_dr1 autoapi/index Loading
docs/agile_dr1.rst 0 → 100644 +61 −0 Original line number Diff line number Diff line AGILE DR1 ========= The AGILE DR1 dataset is described here: https://www.oa-roma.inaf.it/lsst-agn/2026/02/04/the-agile-first-data-release-dr1/ The AGILE DR1 dataset is available here: https://drive.google.com/drive/u/0/folders/1xxaBrTamUZ5U3ncuG5VtkEIiF76UCghK What is contained in the AGILE DR1 dataset ------------------------------------------ master.db: catalogs ^^^^^^^^^^^^^^^^^^^ We provide the whole DR1 (catalog) dataset as a single database which we refer to as `master.db`. It is a sqlite3 file and contains the following tables: - CcdVisit -- Information about CCDs of LSST visits - MatchesTruth -- Matches between the `Object` and `Truth` tables - Source -- Detections from single visits - Visit -- Information about LSST visits - ForcedSource -- Forced photometry on coadded image detections - Object -- Coadded image detections - Truth -- The AGILE truth catalog The schema of each table follows closely that of DP0.2: (see here https://dp0-2.lsst.io/data-products-dp0-2/index.html and here https://dp0-2.lsst.io/data-products-dp0-2/index.html#id3). To access the tables, you can use `sqlite3` (https://sqlite.org/cli.html) or the python3 package `sqlite3` (https://docs.python.org/3/library/sqlite3.html) together with `pandas` (https://pandas.pydata.org/). For example, to retrieve the first 10 rows of the `Object` table, one could use: :: # sh sqlite3 master.db 'SELECT * FROM Object LIMIT 10' Or alternatively in python :: # python import sqlite3 import pandas as pd with sqlite3.connect("master.db") as con: df = pd.read_sql_query("SELECT * FROM Object LIMIT 10", con) repo_public: images and catalogs ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ `repo_public` is a `butler` repository (https://pipelines.lsst.io/modules/lsst.daf.butler/index.html) containing the AGILE DR1 simulated images. To access the image via `butler`, the LSST Science Pipelines (https://pipelines.lsst.io/) are required. We demonstrate the usage of accessing the images and analyzing them in the notebook `agile_image.ipynb`, which is available in the DR1 repository: https://drive.google.com/drive/u/0/folders/1xxaBrTamUZ5U3ncuG5VtkEIiF76UCghK
docs/index.rst +1 −0 Original line number Diff line number Diff line Loading @@ -58,4 +58,5 @@ Useful resources self installation userguide agile_dr1 autoapi/index