NASA-NAVO notebooks

Reference Notebooks

• Basic Reference
  • 0. Setup
  • 1. Overview
  • 2. VO Services
  • 3. Astroquery
• Image Access
  • 1. Finding SIA resources from the Registry
  • 2. Using SIA to retrieve an image
  • 3. Viewing the resulting image
• Catalog Queries
  • 1. Simple cone search
  • 2. Table Access Protocol queries
  • 3. Using the TAP to cross-correlate and combine
  • 4. Synchronous versus asynchronous queries
• Spectral Access
  • Finding available Spectral Access Services
  • Chandra Spectrum of Delta Ori
  • Simple example of plotting a spectrum
• VO Tables
  • Create a VO Table from an Astropy Table
  • Create a table with only two columns starting from an astropy Table
  • Then convert this to a VOTableFile object which contains a nested set of resources and tables (in this case, only one of each)
• UCDs (Unified Content Descriptors)

Use Case Exercises

• Candidate List Exercise
  • 1. Import the Python modules we’ll be using
  • 2. Search NED for objects in this paper
  • 3. Filter the NED results
  • 4. Search the NAVO Registry for image resources
  • 5. Search the NAVO Registry for image resources that will allow you to search for AllWISE images
  • 6. Choose the AllWISE image service that you are interested in
  • 7. Choose one of the galaxies in the NED list
  • 8. Search for a list of AllWISE images that cover this galaxy
  • 9. Use the .to_table() method to view the results as an Astropy table
  • 10. From the result in 8., select the first record for an image taken in WISE band W1 (3.6 micron)
  • 11. Visualize this AllWISE image
  • 12. Plot a cutout of the AllWISE image, centered on your position
  • 13. Try visualizing a cutout of a GALEX image that covers your position
  • 14. Try visualizing a cutout of an SDSS image that covers your position
  • 15. Try looping over all positions and plotting multiwavelength cutouts
• Proposal Preparation Exercise
  • Step 1: Find out what the previously quoted Chandra 2-10 keV flux of the central source is for NGC 1365
  • Step 2: Make Images
  • Step 3: Make a spectrum
• HR (Hertzsprung-Russell) Diagram Exercise
  • Step 1: Find appropriate catalogs
  • Step 2: Acquire the relevant data and make a plot
  • Step 3. Compare with other color-magnitude diagrams for Pleiades
  • BONUS: Step 4: The CMD as a distance indicator

Use Case Solutions

• Candidate List Solution
  • 1. Import the Python modules we’ll be using
  • 2. Search NED for objects in this paper
  • 3. Filter the NED results
  • 4. Search the NAVO Registry for image resources
  • 5. Search the NAVO Registry for image resources that will allow you to search for AllWISE images
  • 6. Choose the AllWISE image service that you are interested in
  • 7. Choose one of the galaxies in the NED list
  • 8. Search for a list of AllWISE images that cover this galaxy
  • 9. Use the .to_table() method to view the results as an Astropy table
  • 10. From the result in 8., select the first record for an image taken in WISE band W1 (3.6 micron)
  • 11. Visualize this AllWISE image
  • 12. Plot a cutout of the AllWISE image, centered on your position
  • 13. Try visualizing a cutout of a GALEX image that covers your position
  • 14. Try visualizing a cutout of an SDSS image that covers your position
  • 15. Try looping over all positions and plotting multiwavelength cutouts
• Proposal Preparation Solution
  • Step 1: Find out what the previously quoted Chandra 2-10 keV flux of the central source is for NGC 1365
  • Step 2: Make Images
  • Step 3: Make a spectrum
• HR (Hertzsprung-Russell) Diagram Solution
  • Step 1: Find appropriate catalogs
  • Step 2: Acquire the relevant data and make a plot
  • Step 3. Compare with other color-magnitude diagrams for Pleiades
  • BONUS: Step 4: The CMD as a distance indicator

Additional Resources

• Configuring the Workshop Environment
• Known issues and workarounds