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Stack Club Course Syllabus

Contents:

  1. Basics
  2. Getting Started
  3. Visualization
  4. Processing Single Visits
  5. Source Detection
  6. Image Coaddition
  7. Sky background estimation
  8. PSF estimation
  9. Object deblending
  10. Source/Object measurement
  11. Astrometric calibration
  12. Photometric calibration
  13. Difference Image Analysis
  14. Data Validation

1. Basics

In this Session we will provide a first glimpse at how to access LSST data on the LSST Science Platform (LSP), introducing the Butler and touring the basic image and catalog data structures.

2. Getting Started

In this Session we will give some introduction to the Stack Club tutorials and GitHub workflow, provide a template for your first tutorial notebook, and show you how to find documentation about the LSST science pipelines.

3. Visualization

We will explore LSST data visualization in a bit more detail. This session will start out from where we left off in the data access tutorials, but will take a deeper dive into some more powerful resources built into the LSST Stack.

4. Processing Single Visits

5. Source Detection

6. Image Coaddition

7. Sky background estimation

8. PSF estimation

  • Topics:

    • Where does the PSF come from?
    • How is the PSF estimated?
    • Diffraction spikes
    • How do we visualize the psf
  • Stack Club Resources:

  • Other Resources:

9. Object deblending

10. Source/Object measurement

11. Astrometric calibration

  • Topics:

    • Internal astrometry
    • External astrometry
  • Stack Club Resources

    • None
  • Other Resources:

    • None

12. Photometric calibration

  • Topics:

    • Photometric standards
    • Relative photometry
    • Absolute photometry
    • SLR and other validation techniques
    • Galactic Extinction and other bugaboos
  • Stack Club Resources

    • None
  • Other Resources:

13. Difference Image Analysis

  • Topics:

    • Template generation (noting any differences from coadd generation)
    • Image differencing
    • DIASource detection
    • DIAObject generation
    • Real/bogus classification
    • Alerts (Tutorial needed: #)
    • Moving objects (Tutorial needed: #)
  • Stack Club Resources:

  • Other Resources

    • Twinkles and DC2 cookbooks?
    • Ask Eric Bellm for leads?

14. Data Validation

  • Topics:

    • Available packages: validate_drp, pipeline_analysis
    • Example analysis of various measurements, comparing to external surveys or simulation truth.
  • Stack Club Resources:

  • Other Resources:

    • None