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The Two-Micron All-Sky Survey (2MASS) has mapped out the low-redshiftUniverse down to $K_S\sim14$ mag. As its near-infrared photometry primarilyprobes the featureless Rayleigh-Jeans tail of galaxy spectral energydistributions, colour-based redshift estimation is rather uninformative. Untilnow, redshift estimates for this dataset have relied on optical follow-upsuffering from selection biases. Here we use the newly-developed technique ofclustering-based redshift estimation to infer the redshift distribution of the2MASS sources regardless of their optical properties. We characterise redshiftdistributions of objects from the Extended Source Catalogue as a function ofnear-infrared colours and brightness and report some observed trends. We alsoapply the clustering redshift technique to dropout populations, sources withnon-detections in one or more near-infrared bands, and present their redshiftdistributions. Combining all extended sources, we confirm with clusteringredshifts that the distribution of this sample extends up to $z\sim0.35$. % Weperform a similar analysis with the Point Source Catalogue and show that it canbe separated into stellar and extragalactic contributions with galaxiesreaching $z\sim0.7$. We estimate that the Point Source Catalogue contains 1.6million extragalactic objects: as many as in the Extended Source Catalogue butprobing a cosmic volume ten times larger.

Exploring the 2MASS Extended and Point Source Catalogs with Clustering Redshifts