An empirical method corrects clustering bias in P(D) galaxy number counts, showing that clustering inflates 500μm counts by a factor of 1.6 near 10 mJy in Herschel-SPIRE GOODS-N data.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
verdicts
UNVERDICTED 2representative citing papers
A new methodology counts galaxy pairs over entire fields and uses k-means patches plus oversampled bootstrap covariance to produce more robust cross-correlation measurements for magnification bias studies in GAMA fields.
citing papers explorer
-
How to count clustered galaxies
An empirical method corrects clustering bias in P(D) galaxy number counts, showing that clustering inflates 500μm counts by a factor of 1.6 near 10 mJy in Herschel-SPIRE GOODS-N data.
-
Methodological refinement of the submillimeter galaxy cross-correlation function measurements and their uncertainty estimation
A new methodology counts galaxy pairs over entire fields and uses k-means patches plus oversampled bootstrap covariance to produce more robust cross-correlation measurements for magnification bias studies in GAMA fields.