Updates demofiles (f88dbeec) · Commits · Akke Esa Tapio Viitanen / lsst_inaf_agile

.gitignore

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		*.png
		*.pdf

		.ipynb_checkpoints
		._*
		*.pye
		*.pyc

		data
		data/xlf/bongiorno2016
		data/catalog

		@@ -13,4 +15,10 @@ opt/imsim
		opt/lsst_stack
		opt/vif

		src/python/plot_example_lightcurve

		data/baseline_.

		*~
		.*.swo
		.*.swn

Makefile

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		@@ -102,12 +102,13 @@ fig/example_calexp.png:
		-view magnifier no \
		-view buttons no \
		-view colorbar yes \
		$(wildcard data/calexp/calexp_LSSTCam_u_u_24_7025050100829_R22_S11_u_viitanen_output_20250520T160244Z.fits) \
		$(wildcard data/calexp/calexp_LSSTCam_g_g_6_7025050100779_R22_S11_u_viitanen_output_20250520T160244Z.fits) \
		$(wildcard data/calexp/calexp_LSSTCam_r_r_57_7025050100809_R22_S11_u_viitanen_output_20250520T160244Z.fits) \
		$(wildcard data/calexp/calexp_LSSTCam_i_i_39_7025050100789_R22_S11_u_viitanen_output_20250520T160244Z.fits) \
		$(wildcard data/calexp/calexp_LSSTCam_z_z_20_7025050100837_R22_S11_u_viitanen_output_20250520T160244Z.fits) \
		$(wildcard data/calexp/calexp_LSSTCam_y_y_10_7025050302384_R22_S11_u_viitanen_output_20250520T160244Z.fits)
		$(wildcard demo/example_calexp_*.fits)
		#$(wildcard data/calexp/calexp_LSSTCam_u_u_24_7025050100829_R22_S11_u_viitanen_output_20250520T160244Z.fits) \
		#$(wildcard data/calexp/calexp_LSSTCam_g_g_6_7025050100779_R22_S11_u_viitanen_output_20250520T160244Z.fits) \
		#$(wildcard data/calexp/calexp_LSSTCam_r_r_57_7025050100809_R22_S11_u_viitanen_output_20250520T160244Z.fits) \
		#$(wildcard data/calexp/calexp_LSSTCam_i_i_39_7025050100789_R22_S11_u_viitanen_output_20250520T160244Z.fits) \
		#$(wildcard data/calexp/calexp_LSSTCam_z_z_20_7025050100837_R22_S11_u_viitanen_output_20250520T160244Z.fits) \
		#$(wildcard data/calexp/calexp_LSSTCam_y_y_10_7025050302384_R22_S11_u_viitanen_output_20250520T160244Z.fits)

		fig/example_coadd.png:
		# Make example coadd images
		@@ -135,12 +136,13 @@ fig/example_coadd.png:
		-view magnifier no \
		-view buttons no \
		-view colorbar yes \
		$(wildcard $(PATH_AMUSE)/precario3/viitanen/agile/data/dr1/repo_1det/u/viitanen/output/20241211T013547Z/deepCoadd_calexp/9813/25/u/deepCoadd_calexp*.fits) \
		$(wildcard $(PATH_AMUSE)/precario3/viitanen/agile/data/dr1/repo_1det/u/viitanen/output/20241211T013547Z/deepCoadd_calexp/9813/25/g/deepCoadd_calexp*.fits) \
		$(wildcard $(PATH_AMUSE)/precario3/viitanen/agile/data/dr1/repo_1det/u/viitanen/output/20241211T013547Z/deepCoadd_calexp/9813/25/r/deepCoadd_calexp*.fits) \
		$(wildcard $(PATH_AMUSE)/precario3/viitanen/agile/data/dr1/repo_1det/u/viitanen/output/20241211T013547Z/deepCoadd_calexp/9813/25/i/deepCoadd_calexp*.fits) \
		$(wildcard $(PATH_AMUSE)/precario3/viitanen/agile/data/dr1/repo_1det/u/viitanen/output/20241211T013547Z/deepCoadd_calexp/9813/25/z/deepCoadd_calexp*.fits) \
		$(wildcard $(PATH_AMUSE)/precario3/viitanen/agile/data/dr1/repo_1det/u/viitanen/output/20241211T013547Z/deepCoadd_calexp/9813/25/y/deepCoadd_calexp*.fits)
		$(wildcard demo/example_deepCoadd_calexp_*.fits)
		#$(wildcard $(PATH_AMUSE)/precario3/viitanen/agile/data/dr1/repo_1det/u/viitanen/output/20241211T013547Z/deepCoadd_calexp/9813/25/u/deepCoadd_calexp*.fits) \
		#$(wildcard $(PATH_AMUSE)/precario3/viitanen/agile/data/dr1/repo_1det/u/viitanen/output/20241211T013547Z/deepCoadd_calexp/9813/25/g/deepCoadd_calexp*.fits) \
		#$(wildcard $(PATH_AMUSE)/precario3/viitanen/agile/data/dr1/repo_1det/u/viitanen/output/20241211T013547Z/deepCoadd_calexp/9813/25/r/deepCoadd_calexp*.fits) \
		#$(wildcard $(PATH_AMUSE)/precario3/viitanen/agile/data/dr1/repo_1det/u/viitanen/output/20241211T013547Z/deepCoadd_calexp/9813/25/i/deepCoadd_calexp*.fits) \
		#$(wildcard $(PATH_AMUSE)/precario3/viitanen/agile/data/dr1/repo_1det/u/viitanen/output/20241211T013547Z/deepCoadd_calexp/9813/25/z/deepCoadd_calexp*.fits) \
		#$(wildcard $(PATH_AMUSE)/precario3/viitanen/agile/data/dr1/repo_1det/u/viitanen/output/20241211T013547Z/deepCoadd_calexp/9813/25/y/deepCoadd_calexp*.fits)

		fig/flux_sigma_eta.pdf: python/plot_flux_sigma_eta.py
		python3 $< $@ 1

demo/agile_catalog101.ipynb

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demo/agile_introduction.ipynb

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		%% Cell type:markdown id:a737c50d-9836-409d-94a9-79fc98641a02 tags:

		# AGILE DR1 (Viitanen et al., in prep.)

		AGILE: AGN in the LSST era (Viitanen et al., in prep.) is an end-to-end
		simulation pipeline and part of the official LSST INAF in-kind contribution.
		AGILE is designed to allow for the characterization of the AGN population as
		seen by Rubin-LSST. The pipeline starts with the creation of an empirical truth
		catalog of AGN, galaxies, and stars. Using variability recipes for AGN and
		stars, the truth catalog is then fed to the image simulator (imSim), capable of
		generating raw images from the LSSTCam. Finally, the resulting raw images are
		analyzed using the official science pipelines.

		The first data release of AGILE corresponds to $1\,{\rm deg}^2$ (21 LSSTCam
		detectors) and 3 years of LSST survey in the COSMOS (150.117, +2.205)
		deep-drilling field. The underlying truth catalog has an area of 24 deg2, and
		extends to $0.2 < z < 5.5$ and host galaxy mass $\log(M/M_\odot) > 8.5$.

		The survey baseline is based on baseline v4.0. However, to optimize lightcurve
		cadence over depth, we prune the observation sequence by selecting only the
		first exposure of each sequence. The total number of visits is $1\,441$.

		The LSST Science Pipelines (version 8.0.0) are run on the simulated raw images
		in order to produce single-visit calibrated exposures and source catalogs.
		Then, the single-visit images are combined to produce the coadded image and
		object catalogs. Finally, forced photometry is performed on the single-visit
		images based on the object catalog.

		With respect to the LSST data product, the AGILE data model follow closely that
		of DP0.2 (https://dp0-2.lsst.io/data-products-dp0-2/index.html). LSST Butler
		may be used to access both images and catalog. For the access of catalogs we
		also provide a sqlite3 database which mimics the functionality and schema of
		the TAP service in DP0.2 / DP1.

		%% Cell type:markdown id:85b8bc23-e64e-4d0f-bcd8-5e27d4def1a7 tags:

		## Demonstration notebooks

		We provide the following notebooks demonstrating the usage of AGILE DR1:

		- [agile_catalog101.ipynb](agile_database101.ipynb): get familiar with the catalog database
		- [agile_truth.ipynb](agile_truth.ipynb): explore the underlying truth catalog
		- [agile_sed.ipynb](agile_sed.ipynb): explore the measured and truth SEDs
		- [agile_lightcurve.ipynb](agile_lightcurve.ipynb): explore the measured forced photometry and truth lightcurves
		- [agile_images.ipynb](agile_images.ipynb): explore simulated single-visit and deep coadded images
		- [agile_compare_dp1.ipynb](agile_compare_dp1.ipynb): compare AGILE DR1 to DP1 ECDFS

		The full AGILE DR1 (incl. catalogs, images, SEDs, lightcurves) is hosted in the
		Naples ADHOC cluster. Here, a small subset of the available data is provided
		for demonstration purposes.

		%% Cell type:markdown id:a2b3ce63-c6d4-4b9b-995b-d73a1feccb37 tags:

		## Contact:

		- Angela Bongiorno (angela.bongiorno@inaf.it, INAF-OAR)
		- Akke Viitanen (akke.viitanen@iki.fi, INAF-OAR, Univ. Geneva)
		- Ivano Saccheo (ivano.saccheo@inaf.it, INAF-OAR, Univ. Bristol)

		Created by AV on 2025/07/09

		%% Cell type:code id:0f69a013-bb12-43ab-95bb-ae40917b103d tags:

		``` python
		```