These Python Jupyter Notebook tutorials demonstrate access methods and techniques for working with data served by the NASA/IPAC Infrared Science Archive (IRSA). They cover topics like querying IRSA, working with catalogs in Parquet format, visualizing with Firefly, and general other techniques.
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caption: VO on-prem data access
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tutorials/irsa-sia-examples/sia_2mass_allsky
tutorials/irsa-sia-examples/sia_allwise_atlas
tutorials/irsa-sia-examples/sia_cosmos
tutorials/irsa-sia-examples/siav2_seip
tutorials/cosmodc2/cosmoDC2_TAP_access.md
These notebooks demonstrate how to access the IRSA-curated datasets that available in Amazon Web Services (AWS) S3 cloud storage buckets.
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tutorials/cloud_access/cloud-access-intro
tutorials/parquet-catalog-demos/wise-allwise-catalog-demo
tutorials/parquet-catalog-demos/neowise-source-table-strategies
tutorials/parquet-catalog-demos/neowise-source-table-lightcurves
tutorials/openuniversesims/openuniverse2024_roman_simulated_timedomainsurvey
tutorials/openuniversesims/openuniverse2024_roman_simulated_wideareasurvey
These notebooks demonstrate how to use the Firefly visualization tools from Python. Firefly is an open-source toolkit based on IVOA standards and designed to enable astronomical data archive access, exploratory data analysis, and visualization.
It is used in archive user interfaces at IRSA, the NASA Exoplanet Science Institute (NExScI), the NASA/IPAC Extragalactic Database (NED), and the Vera C. Rubin Observatory.
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caption: Visualizations with Firefly
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tutorials/firefly/SEDs_in_Firefly
tutorials/firefly/NEOWISE_light_curve_demo
tutorials/firefly/OpenUniverse2024Preview_Firefly
These notebooks cover miscellaneous topics that users might find useful in their analysis of IRSA-curated data.
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tutorials/parallelize/Parallelize_Convolution
Authors: IRSA Scientists and Developers wrote and maintain these notebooks.
Contact: the IRSA Helpdesk with questions or reporting problems.