Cosmological constraints from Subaru weak lensing cluster counts
Takashi Hamana, Junya Sakurai, Michitaro Koike, Lance Miller

TL;DR
This study uses weak lensing data from Subaru to identify galaxy clusters, compare counts with models, and constrain cosmological parameters, demonstrating the method's effectiveness for future large surveys.
Contribution
It presents a new weak lensing cluster count analysis with high galaxy density, matching peaks to known clusters, and constraining cosmological parameters with improved accuracy.
Findings
Detected 6 significant lensing peaks corresponding to galaxy clusters.
Measured cluster counts consistent with standard LCDM models.
Demonstrated the potential of weak lensing counts to constrain cosmological parameters.
Abstract
We present results of weak lensing cluster counts obtained from 11 sq.deg SuprimeCam data. Although the area is much smaller than previous work dealing with weak lensing peak statistics, the number density of galaxies usable for weak lensing analysis is about twice as large as those. The higher galaxy number density reduces the noise in the weak lensing mass maps, and thus increases the signal-to-noise ratio of peaks of the lensing signal due to massive clusters. This enables us to construct a weak lensing selected cluster sample by adopting a high threshold S/N, such that the contamination rate due to false signals is small. We find 6 peaks with S/N>5. For all the peaks, previously identified clusters of galaxies are matched within a separation of 1 arcmin, demonstrating good correspondence between the peaks and clusters of galaxies. We evaluate the statistical error using mock weak…
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.
