NASA-NAVO notebooks

Content

• Accessing astronomical catalogs
  • 1. Simple cone search
  • 2. Table Access Protocol queries
  • 3. Using the TAP to cross-correlate and combine
  • 4 Synchronous versus asynchronous queries
• Searching for and retrieving images
  • 1. Finding SIA resources from the Registry
  • 2. Using SIA to retrieve an image
  • 3. Viewing the resulting image
  • 4. Example of data available through multiple services
• Retrieve spectra using Simple Spectral Access protocol
  • Finding available Spectral Access Services
  • Chandra Spectrum of Delta Ori
  • Simple example of plotting a spectrum
• UCDs: working with heterogeneous tables
• Creating a VO Table from a CSV file
  • 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)
• Science User Case - Inspecting a Candidate List
  • 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.
• Preparing a proposal
  • 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
• Creating a stellar color-magnitude (or Hertzsprung-Russell) diagram
  • 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!
• Quick Reference
  • 0. Setup
  • 1. Overview
  • 2. VO Services
  • 3. Astroquery
• Science User Case - Inspecting a Candidate List
  • 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.
• Preparing a proposal
  • 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:
• Creating a stellar color-magnitude (or Hertzsprung-Russell) diagram
  • 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