4.6k citations · 18.8k across the 66 of their papers we have counts for
67 papers
Exploring the SDSS Photometric Galaxies with Clustering Redshifts
Mubdi Rahman, Alexander J. Mendez, Brice Ménard +4
We apply clustering-based redshift inference to all extended sources from the Sloan Digital Sky Survey photometric catalogue, down to magnitude r = 22. We map the relationships bet…
Exploring the 2MASS Extended and Point Source Catalogs with Clustering Redshifts
Mubdi Rahman, Brice Ménard, Ryan Scranton
The Two-Micron All-Sky Survey (2MASS) has mapped out the low-redshift Universe down to mag. As its near-infrared photometry primarily probes the featureless Rayleigh-Je…
Clustering-based Redshift Estimation: Comparison to Spectroscopic Redshifts
Mubdi Rahman, Brice Ménard, Ryan Scranton +2
We investigate the potential and accuracy of clustering-based redshift estimation using the method proposed by Ménard et al. (2013). This technique enables the inference of redshif…
Inferring the Redshift Distribution of the Cosmic Infrared Background
Samuel J. Schmidt, Brice Ménard, Ryan Scranton +3
Cross-correlating the Planck High Frequency Instrument (HFI) maps against quasars from the Sloan Digital Sky Survey (SDSS) DR7, we estimate the intensity distribution of the Cosmic…
Clustering-based redshift estimation: method and application to data
Brice Ménard, Ryan Scranton, Samuel Schmidt +4
We present a data-driven method to infer the redshift distribution of an arbitrary dataset based on spatial cross-correlation with a reference population and we apply it to various…
Recovering Redshift Distributions with Cross-Correlations: Pushing The Boundaries
Samuel Schmidt, Brice Ménard, Ryan Scranton +2
Determining accurate redshift distributions for very large samples of objects has become increasingly important in cosmology. We investigate the impact of extending cross-correlati…