JWST Lensed Quasar Dark Matter Survey V: Measuring the minimum halo mass with strong gravitational lensing
A. M. Nierenberg, D. Gilman, T. Treu, X. Du, C. Gannon, H. Paugnat, S. Birrer, A. J. Benson, K. N. Abazajian, T. Anguita, S.G. Djorgovski, S. F. Hoenig, R. E. Keeley, A. Kusenko, H. R. Larsson, L. A. Moustakas, P. Mozumdar, W. Sheu, D. Sluse, D. Stern, D. Williams, K. C. Wong

TL;DR
This study uses strong gravitational lensing of 28 quasars to set new upper limits on the minimum dark matter halo mass, with forecasts indicating significant improvements with future surveys.
Contribution
It introduces a method to constrain the low-mass cutoff of the halo mass function using lensing data, incorporating tidal stripping effects and future survey prospects.
Findings
Upper limit on low-mass cutoff: <10^{8.3} M_sun at 10:1 odds
Constraints comparable or stronger than Milky Way satellite analyses
Forecasted order of magnitude improvement with 200 lenses
Abstract
We explore the lowest mass limit that can be placed on the halo mass function in CDM using 28 strong gravitational lenses. For this purpose, we study an extreme model in which the halo mass function and mass-concentration relation follow CDM, with a sharp cutoff at some mass scale, . Lensing provides a unique window into this quantity as it does not depend on the presence of baryons in dark matter halos and also allows the detection of low mass halos at cosmological distances, both in the lens galaxies and along the line-of-sight. Our model incorporates the effects of tidal stripping of subhalos, leading to the presence of many subhalos below a given model cutoff scale. We place an upper limit on the low-mass cutoff of the halo mass function of M at 10:1 odds using a prior for the normalization of the subhalo mass function from the…
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.
