The impact of correlated projections on weak lensing cluster counts
Laura Marian, Robert E. Smith, Gary M. Bernstein

TL;DR
This study investigates how correlated large-scale structures affect weak lensing cluster counts, demonstrating that with proper filtering, their impact on mass estimates is minimal and the peak abundance scales predictably with cosmology.
Contribution
It shows that the impact of correlated projections on weak lensing peak counts can be minimized with optimal filtering and that the peak abundance scales with cosmology similarly to 3D mass functions.
Findings
Correlated projections contribute less than 2% to peak mass estimates with optimal filtering.
Peak abundance scales with cosmology in the same way as 3D mass functions.
Modified Sheth-Tormen fits describe peak counts within 10-20% accuracy.
Abstract
Large-scale structure projections are an obstacle in converting the shear signal of clusters detected in weak-lensing maps into virial masses. However, this step is not necessary for constraining cosmology with the shear-peak abundance, if we are able to predict its amplitude. We generate a large ensemble of N-body simulations spanning four cosmological models, with total volume V~1 (Gpc/h)^3 per model. Variations to the matter density parameter and amplitude of fluctuations are considered. We measure the abundance of peaks in the mass density projected in ~100 Mpc/h slabs to determine the impact of structures spatially correlated with the simulation clusters, identified by the 3D friends-of-friends algorithm. The halo model shows that the choice of the smoothing filter for the density field is important in reducing the contribution of correlated projections to individual halo masses.…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
