CatWISE
CatWISE
Description
CatWISE2020 is an all-sky catalog of W1 and W2 band infrared measurements from the WISE and NEOWISE surveys, collected between 2010 and 2018. The catalog comprises 1,890,715,640 entries, with a 90 percent completeness depth of W1=17.7 mag and W2=17.5 mag. This dataset includes six times as many exposures and spans over 16 times as large a time baseline as the dataset used for the AllWISE catalog, i.e. the CatWISE catalog includes fainter sources and provides far more accurate measurements of their motions than AllWISE (motions are accurate at the 20 mas/yr level for W1∼15 mag sources, and at the ∼100 mas/yr level for W1∼17 mag sources).
The original catalog is accessible from IRSA via Gator. The version at Astro Data Lab is identical, but adds the following columns for convenience: htm9, nest4096, ring256, random_id, elon, elat, glon, glat.
The catwise2020.main table has been crossmatched against our default reference datasets within a 1.5 arcsec radius, nearest neighbor only. These tables will appear with x1p5 in their name in our table browser. Example: catwise2020.x1p5__main__gaia_dr3__gaia_source.
For a full description of CatWISE2020, please see Marocco et al. (2021) or visit their website.
Data Access
The CatWISE data are accessible by a variety of means:
Data Lab Table Access Protocol (TAP) service
TAP provides a convenient access layer to the CatWISE catalog database. TAP-aware clients (such as TOPCAT) can point to https://datalab.noirlab.edu/tap, select the catwise2020 database, and see the database tables and descriptions. You can also view the CatWISE tables and descriptions in the Data Lab table browser.
Data Lab Query Client
The Query Client is available as part of the Data Lab software distribution. The Query Client provides a Python API to Data Lab database services. These services include anonymous and authenticated access through synchronous or asynchronous queries of the catalog made directly to the database. Additional Data Lab services for registered users include personal database storage and storage through the Data Lab VOSpace.
The Query Client can be called from a Jupyter Notebook on the Data Lab Notebook server. Example notebooks are provided to users upon creation of their user account (register here), and are also available to browse on GitHub at https://github.com/astro-datalab/notebooks-latest.
