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applying code review suggestions from Troy
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toc.yml

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file: tutorials/irsa-sia-examples/sia_allwise_atlas.md
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- title: ALLWISE Catalog
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file: tutorials/parquet-catalog-demos/wise-allwise-catalog-demo.md
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- title: NEOWISE visualization
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- title: NEOWISE Firefly
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file: tutorials/firefly/NEOWISE_light_curve_demo.md
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- title: NEOWISE source table
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- title: NEOWISE Strategies
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file: tutorials/parquet-catalog-demos/neowise-source-table-strategies.md
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- title: NEOWISE source table light curves
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- title: NEOWISE Light Curves
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file: tutorials/parquet-catalog-demos/neowise-source-table-lightcurves.md
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- title: Spitzer
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tutorials/simulated.md

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# Simulated Data Tutorial Notebooks
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IRSA hosts a diverse collection of simulated astronomical datasets spanning multiple missions and science domains; designed to support survey planning, algorithm development, and scientific exploration.
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Because this collection is heterogeneous in coverage, structure, and intended use, simulated products are released with detailed documentation and tailored access methods.
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Because this collection is heterogeneous in coverage, structure, and intended use, the simulated products are released with detailed documentation.
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Access methods are tailored to the structure and scale of each product.
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These tutorials are designed to help users get started with accessing, visualizing, and analyzing simulated datasets hosted at IRSA.
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- [Roman HLSS Number Density](roman_simulations/roman_hlss_number_density.md) - Illustrates how to query the catalog and derive galaxy number density.
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- [Roman HLSS Number Density](roman_simulations/roman_hlss_number_density.md) - Illustrate how to query the catalog and derive galaxy number density.
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- [OpenUniverse2024 Roman Coadds](openuniversesims/openuniverse2024_roman_simulated_wideareasurvey.md) - Accesses OpenUniverse2024 wide-area simulated survey data.
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- [OpenUniverse2024 Roman Coadds](openuniversesims/openuniverse2024_roman_simulated_wideareasurvey.md) - Access OpenUniverse2024 wide-area simulated survey data.
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- [OpenUniverse2024 Visualization](firefly/OpenUniverse2024Preview_Firefly.md) - Uses Firefly to get an overview of survey structure and visualize content.
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- [OpenUniverse2024 Visualization](firefly/OpenUniverse2024Preview_Firefly.md) - Use Firefly to get an overview of survey structure and visualize content.
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- [OpenUniverse2024 Time Domain](openuniversesims/openuniverse2024_roman_simulated_timedomainsurvey.md) - Demonstrates how to access and analyze time-domain survey.
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- [OpenUniverse2024 Time Domain](openuniversesims/openuniverse2024_roman_simulated_timedomainsurvey.md) - Access and analyze time-domain OpenUniverse2024 survey.
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- [CosmoDC2 Data Access](cosmodc2/cosmoDC2_TAP_access.md) - Demonstrates how to access, query, and visualize the catalog.
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- [CosmoDC2 Data Access](cosmodc2/cosmoDC2_TAP_access.md) - Access, query, and visualize the CosmoDC2 catalog.

tutorials/spherex/spherex.md

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SPHEREx data releases include weekly [Quick Release spectral image products](https://caltech-ipac.github.io/spherex-archive-documentation/spherex-data-products/) (multi-extension FITS files containing calibrated near-infrared surface brightness, variance, flags, modeled backgrounds, PSFs, and wavelength WCS) along with ancillary calibration and metadata files such as gain matrices, dark current maps, solid angle pixel maps, and detailed spectral WCS products for each detector.
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- [Data Overview](spherex_intro.md) - Introduces available data including how to identify which files and formats are appropriate for different use cases.
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- [Data Overview](spherex_intro.md) - Identify available data products and select the appropriate FITS extensions for different use cases.
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- [Spectral Image Cutouts](spherex_cutouts.md) - Demonstrates how to generate and work with spatial and spectral cutouts.
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- [Spectral Image Cutouts](spherex_cutouts.md) - Generate and work with spatial and spectral cutouts.
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- [PSF Models](spherex_psf.md) - Explains how SPHEREx point spread function (PSF) information is organized and accessed.
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- [PSF Models](spherex_psf.md) - Understand how SPHEREx point spread function (PSF) information is organized and accessed.
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tutorials/techniques.md

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This section gathers tutorials that go beyond mission specific data access and analysis to explore broader methods, workflows, and utilities applicable across missions and datasets.
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This collection includes guidance on cloud-based data access, use of powerful big data tools such as lsdb, interactive visualization tools, and computational techniques like parallel image convolution.
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- [Cloud Access](cloud_access/cloud-access-intro.md)Introduces how to access and work with data served by IRSA from AWS S3 cloud storage.
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- [Cloud Access](cloud_access/cloud-access-intro.md)Access and work with data served by IRSA from AWS S3 cloud storage.
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- [HATS with LSDB](parquet-catalog-demos/irsa-hats-with-lsdb.md) - Uses LSDB for user-friendly cross matching and querying of HATS Collections.
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- [HATS with LSDB](parquet-catalog-demos/irsa-hats-with-lsdb.md) - Use LSDB for user-friendly cross matching and querying of HATS Collections.
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- [SED Visualization](firefly/SEDs_in_Firefly.md) - Demonstrates how to explore and interactively visualize SEDs using Firefly on multi-wavelength datasets.
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- [SED Visualization](firefly/SEDs_in_Firefly.md) - Explore and interactively visualize multi-wavelength SEDs using Firefly.
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- [Parallelization](parallelize/Parallelize_Convolution.md) - Demonstrates parallelization techniques to speed up operations on large astronomical images.
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- [Parallelization](parallelize/Parallelize_Convolution.md) - Apply parallelization techniques to speed up operations on large astronomical images.

tutorials/wise.md

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# WISE Tutorial Notebooks
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The Wide-field Infrared Survey Explorer ([WISE](https://irsa.ipac.caltech.edu/Missions/wise.html)) is a NASA infrared space telescope launched in December 2009 that performed a sensitive all-sky survey at 3.4, 4.6, 12, and 22 µm, cataloging hundreds of millions of stars, galaxies, and Solar System objects and enabling discoveries of cool brown dwarfs and luminous infrared galaxies.
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After exhausting its cryogen, the mission was repurposed as NEOWISE in 2013 to detect and characterize near-Earth asteroids and comets using the remaining infrared channels.
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After exhausting its cryogen, the mission was repurposed as NEOWISE in 2013 to detect and characterize near-Earth asteroids and comets using the remaining infrared channels until the mission concluded in August 2024.
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WISE and NEOWISE data are released publicly through the NASA/IPAC Infrared Science Archive (IRSA), including calibrated images, source catalogs, and single-exposure source tables that together enable multi-epoch photometry, light curves, and motion studies for a wide range of astrophysical and Solar System applications.
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Successive NEOWISE data releases (with annual updates) provide users with increasingly deep coverage and time-domain information across the infrared sky.
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Successive NEOWISE data releases, issued with annual updates, provided users with increasingly deep coverage and time-domain information across the infrared sky.
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- [ALLWISE Images](irsa-sia-examples/sia_allwise_atlas.md) - Retrieves coadded images and makes coordinate-based cutouts.
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- [ALLWISE Images](irsa-sia-examples/sia_allwise_atlas.md) - Retrieve coadded images and make coordinate-based cutouts.
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- [ALLWISE Catalog](parquet-catalog-demos/wise-allwise-catalog-demo.md) - Explores mid-infrared source properties by querying, filtering, and working with the catalog.
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- [ALLWISE Catalog](parquet-catalog-demos/wise-allwise-catalog-demo.md) - Querying, filter, and work with a HEALPix-partitioned Parquet catalog using the ALLWISE dataset.
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- [NEOWISE visualization](firefly/NEOWISE_light_curve_demo.md) - Visualizes and analyzes light curves of Solar System objects using Firefly.
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- [NEOWISE Firefly](firefly/NEOWISE_light_curve_demo.md) - Visualize and analyze light curves of Solar System objects using Firefly.
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- [NEOWISE source table](parquet-catalog-demos/neowise-source-table-strategies.md) - Outlines efficient strategies for accessing and handling large tables
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- [NEOWISE Strategies](parquet-catalog-demos/neowise-source-table-strategies.md) - Use efficient strategies for accessing and handling the very large Parquet dataset.
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- [NEOWISE source table light curves](parquet-catalog-demos/neowise-source-table-lightcurves.md) - Builds multi-epoch photometric light curves for given coordinates.
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- [NEOWISE Light Curves](parquet-catalog-demos/neowise-source-table-lightcurves.md) - Build multi-epoch photometric light curves for given coordinates.

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