Python Notebooks

This page is out of date and provided for reference only: please see the updated site with newer and easier-to-use utilities.

We supply a number of Python notebooks, giving concrete examples on how to query our archives with specific use pages.

NASA-NAVO Services

  • If you need to combine data from multiple archives, this example uses python to put together and analyze a multiwavelength data set. This example uses a sample of interacting galaxies and assembles a multiwavelength data set for it. This can be generalized to a much larger data set. (View or download from GitHub)

HEASARC

  • If you would like to go through a specific science case, this notebook goes through a number of examples for accessing HEASARC data, including catalogs, images and spectra, using various VO protocols. This notebook presents the broad summary of the available protocols. More details are available in separate notebooks using various VO protocols. (View or download from GitHub)

  • If you need to access VO tables from the HEASARC archive, this notebook shows how to list, fetch and look at VO tables and also how to create your own VO Table, which can be used to cross-correlate with other VO Tables. (View or download from GitHub)

  • If you need to perform a simple cone search of HEASARC catalogs, this example goes through finding out what catalogs are available for cone searches or search a given table with a given position and radius, getting a VOTable XML result. (View or download from GitHub)

  • This example shows how to search for and retrieve images from the HEASARC's holdings. (View or download from GitHub)

  • This example shows how to search for and retrieve spectra from the HEASARC's holdings. (View or download from GitHub)

  • If you need to access HEASARC tables through the TAP with ADQL, this example expands on using Table Access Protocol (TAP) and the Astronomical Data Query Language (ADQL) that it uses. (View or download from GitHub)

IRSA

  • If you need to access data from infrared or submillimeter missions or data from related projects, the NASA/IPAC Infrared Science Archive (IRSA) holds these products. These include data from pointed observatories such as Spitzer and Herschel, as well as large-area and all-sky surveys such as 2MASS, WISE, IRAS, Planck, and AKARI. In total, IRSA provides access to more than 20 billion astronomical measurements, including all-sky coverage in 24 bands. This example shows how to perform a catalog search of those products. (View or download from GitHub)

  • IRSA Image Search - (View or download from GitHub)

MAST

  • MAST CAOM Tap Example - This notebook shows how to use the MAST CAOM Tap service. (View or download from GitHub)

  • Notebook for accessing MAST SIA services - This notebook shows how to use Virtual Observatory (VO) services to find and retrieve images from the MAST archive. Since these queries use VO protocols, they are not specific to MAST, and can be used to find and retrieve images from other VO data providers. (View or download from GitHub)

  • New notebook with more details about searching the registry - NAVO has an instance of an IVOA Registry known as the NAVO Directory. This directory can be searched for resources that may be applicable to a particular scientific problem. The registry can be searched via a web page or programmatically. (View or download from GitHub)

  • Notebook for accessing MAST SIA services - (View or download from GitHub)