Multi-band EBL intensity mapping cross-correlated with cosmic shear and galaxy clustering recovers IHL, IGL, and EoR parameters with 10-35% smaller uncertainties than intensity mapping alone.
J., Dwek, E., Mather, J
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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.
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Euclid preparation. Decomposing components of the extragalactic background light using multi-band intensity mapping cross-correlations
Multi-band EBL intensity mapping cross-correlated with cosmic shear and galaxy clustering recovers IHL, IGL, and EoR parameters with 10-35% smaller uncertainties than intensity mapping alone.
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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.