The unWISE Catalog is a deep, deblended catalog of sources from the unWISE coadds of the WISE images, covering the entire sky at 3.4 and 4.6 microns. The unWISE coadds (Meisner et al. 2019) include the images from the NEOWISE phase of the WISE mission, giving them five times the exposure time of the coadds from the initial WISE survey. The unWISE Catalog contains more than two billion sources from these coadds.

The WISE point spread function has a full-width at half-maximum of about 6" in the W1 and W2 bands used for NEOWISE, which coupled with the large number of sources detected in the deep WISE imaging means that most sources overlap with other sources in the images. To accurately model the photometry of these blended sources, the unWISE team uses the crowdsource analysis pipeline (Schlafly et al. 2018) to simultaneously determine the positions and fluxes of all sources in the unWISE coadds.

The greater depth of the unWISE coadds relative to coadds from the first year of the WISE survey, combined with the crowdsource crowded-field modeling, allows the unWISE team to measure fluxes for roughly three times as many sources as were detected in the AllWISE catalog.

For more details about the unWISE Catalog, visit the main unWISE Catalog website and read the associated paper (Schlafly et al. 2019).

The unwise_dr1.object table has been crossmatched with all other datasets in Data Lab within a 1.5 arcsec radius, nearest neighbor only. These tables will appear with x1p5 in their name in our table browser. Example: unwise_dr1.x1p5__object__gaia_dr3__gaia_source.

Data Release

The first release of the unWISE catalog (unWISE DR1) is now hosted at the Astro Data Lab. The co-added images, and resulting catalogs are respectively described in the papers by Meisner et al. (2019) and by Schlafly et al. (2019).

Browse the Data Access page to find out about different ways to use the unWISE DR1 catalog or obtain unWISE image cutouts.

Figure credit: Dustin Lang (Perimeter Institute for Theoretical Physics; University of Waterloo)

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