Improving models of the cosmic infrared background using CMB lensing mass maps

The cosmic infrared background (CIB) sourced by emission from dusty star-forming galaxies is a valuable source of information on the star formation history Universe. In measurements millimeter sky at frequencies higher than $\ensuremath{\sim}300\text{ }\text{ }\mathrm{GHz}$, CIB and thermal Galactic dust dominate. Insufficient understanding contribution lower can hinder efforts to measure kinetic Sunyaev-Zeldovich spectrum small scales as well new physics that affects damping tail microwave (CMB). Planck satellite has measured with high fidelity 217, 353, 545 857 GHz. On very large scales, this measurement limited our ability separate dust, but intermediate are sample variance in underlying matter field traced CIB. We show how significant improvements (20--100%) be obtained parameters models cross-correlating (as existing maps or upcoming CCAT-prime maps) mass inferred gravitational lensing CMB. This improvement comes improved knowledge redshift distribution through use unbiased density CMB cancel field. also find further model if cross-correlation over wider area while restricting more challenging autospectrum cleanest 5% sky.