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tutorial-notebooks-dp01-archive

An archive of the tutorial Jupyter Notebooks from Data Preview 0.1, created by the Rubin Observatory Community Engagement Team (CET).

This archive is frozen, and these notebooks are no longer supported or maintained. See the tutorial-notebooks repository for the most up-to-date versions of the CET's notebooks.


Title Description
01. Intro to DP0 Notebooks Use a python notebook; query a DC2 catalog and plot data; retrieve and display a DC2 image.
02. Intermediate TAP Queries Query, and retrieve DC2 catalog data with the Table Access Protocol (TAP) service. Use bokeh and holoviews to create interactive plots.
03. Image Display and Manipulation Display and manipulate DC2 images, explore image mask planes, create cutout and RGB images.
03b. Image Display with Firefly Demonstrates the Firefly interactive interface for viewing image data.
04. Intro to Butler Discover, query, retrieve, and display DC2 images and catalog data with the Generation 3 Butler.
05. Intro to Source Detection Use the LSST Science Pipelines tasks for image characterization, source detection, deblending, measurement, and to interact with a source footprint.
06. Comparing Object and Truth Table Retrieve and merge data from the DC2 Object and Truth-Match tables, and compare simulated and measured properties.
07. (time-domain tutorial) TBD
08a. Interactive Image Visualization Use Holoviews to display an image and overlay detected sources. Use DynamicMap to interact with image data.
08b. Interactive Catalog Visualization Use Holoviews and Bokeh to display and interact with catalog data. Use Datashader to visualize very large datasets interactively.
09. Single Star LC with Butler Demonstrate limits of building light curves during DP0.1: use the Butler to retrieve all PVI sources within a small radius of a given sky coordinate.

The DP0.1 documentation can be found at dp0-1.lsst.io.

Acknowledgements

These notebooks have drawn from these repositories:

Many of the tutorial notebooks in this repository were originally developed by Stack Club members or Rubin staff, and have been altered and updated to be appropriate for DP0. If these notebooks are used for a journal publication, please consider adding an acknowledgement that gives credit to the original creator(s) as listed in the notebook's header.

Skills in Notebooks

Skills in DP01 Tutorial Notebooks
01. Intro to DP0 Notebooks,
Description: Use a python notebook; query a DC2 catalog and plot data; retrieve and display a DC2 image.
Level: Beginner
Packages: TAP, pandas, butler, lsst.geom, skymap, afwDisplay, numpy, matplotlib
Skills: Jupyter Notebook functionality; emergency-stop a Notebook; importing python packages; using the Table Access Protocol (TAP) service; exploring catalog tables and columns with TAP; retrieving data with TAP; making a color-magnitude diagram; using the pandas package; finding and retrieving an image with the butler; displaying an image with afwDisplay.
02. Intermediate TAP Queries
Description: Query, and retrieve DC2 catalog data with the Table Access Protocol (TAP) service. Use bokeh and holoviews to create interactive plots.
Level: Beginner-Intermediate
Packages: TAP, astropy, pandas, bokeh, holoviews
Skills: Exploring the DP0.1 table schema; using the TAP service client; querying the DP0.1 Object and Truth-Match catalogs; using cone searches and joining tables; creating histograms of binned data and analysis plots (color-magnitude, color-color diagrams); performing asynchronous TAP queries and retrieving results; deleting an asynchronus job.
03. Image Display and Manipulation
Description: Display and manipulate DC2 images, explore image mask planes, create cutout and RGB images.
Level: Beginner-Intermediate
Packages: matplotlib.pyplot, astropy.wcs, lsst.afw.display, lsst.daf.butler, lsst.geom, astropy.visualization.make_lupton_rgb, lsst.afw.display
Skills: Using afwDisplay to visualize images and their masks; creating cutout images; plotting an RGB composite image.
03b. Displaying images using Firefly
Description: Demonstrates the Firefly interactive interface for viewing image data.
Level: Beginner-Intermediate
Packages: lsst.afw.display, lsst.daf.butler
Skills: Using Firefly as the display interface.
04. Intro to Butler
Description: Discover, query, retrieve, and display DC2 images and catalog data with the Generation 3 Butler.
Level: Beginner-Intermediate
Packages: numpy, pylab, lsst.daf.butler, lsst.afw.display, lsst.geom, lsst.afw.coord, astropy, lsst.sphgeom
Skills: Creating an instance of the butler; using the butler to explore the DP0.1 data repository; retrieving an image and sources from the butler; displaying the image with sources overlayed; creating an image cutout at a user-specified coordinate.
05. Intro to Source Detection
Description: Use the LSST Science Pipelines tasks for image characterization, source detection, deblending, measurement, and to interact with a source footprint.
Level: Intermediate
Packages: matplotlib.pyplot, lsst.daf.base, lsst.afw.image, lsst.afw.display, lsst.afw.table, lsst.geom
Skills: Running lsst.meas.algorithm source detection, deblending, and measurement tasks; plotting the resulting source catalogs on an image; examining the footprint of the detected sources; using the butler to access a specific calexp; creating an image cutout and use lsst.afw.display to plot the image.
06. Comparing Object and Truth Table
Description: Retrieve and merge data from the DC2 Object and Truth-Match tables, and compare simulated and measured properties.
Level: Intermediate
Packages: numpy, pandas, matplotlib.pyplot
Skills: Loading tables with TAP; merging two tables and comparing measurements to truth values; comparing the measurements from the object table to the "true" values for objects.
*07. (time-domain tutorial) (TBD)
08a. Interactive Image Visualization
Description: Use Holoviews to display an image and overlay detected sources. Use DynamicMap to interact with image data.
Level: Intermediate
Packages: numpy, bokeh, holoviews
Skills: Retrieving an image from the butler; visualizing exposure images with Holoviews; overlaying source detections on an image; exploring the image with Holoviews Streams and DynamicMap.
08b. Interactive Catalog Visualization
Description: Use Holoviews and Bokeh to display and interact with catalog data. Use Datashader to visualize very large datasets interactively.
Level: Intermediate
Packages: numpy, pandas, bokeh, holoviews, datashader
Skills: Querying for a DP0.1 tabular dataset; visualizing tabular data with HoloViews; creating and displaying a layout of linked plots; interacting with plots via the hover and selection tools; data brushing with Bokeh; analyzing data with Holoviews linked streams; visualizing and interacting with large datasets using Datashader; creating a callback function to retrieve the indicies of selected points.
09. Single Star Lightcurve with Butler
Description: Demonstrate limits of building light curves during DP0.1: use the Butler to retrieve all PVI sources within a small radius of a given sky coordinate.
Level: Beginner-Intermediate
Packages: lsst.daf.butler, lsst.geom, lsst.sphgeom, lsst.daf.base, matplotlib.pyplot, numpy, astropy.units, time
Skills: Using the TAP Service to choose a variable star; executing spatial search of src catalogs with the butler; plotting a time series (magnitude vs. time); finding a star's period and making a phase-folded light curve.

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An archive for the DP0.1 notebooks.

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