Search arXiv⌕ Search

arXiv · 2610.37751

A GLIMPSE of Dark Matter: JWST Constraints on Early Structure Formation

Abstract

While we have a solid understanding of how dark matter (DM) behaves during recombination ($z\sim 10^3$) and in the late universe ($z\lesssim$ a few), much less is known about intermediate times, when the first galaxies formed. These galaxies provide a powerful handle on DM through structure formation, as halos have to exist to host luminous sources. Here we use recent determinations of the UV luminosity function from the James Webb Space Telescope (JWST) GLIMPSE lensing program, along with legacy Hubble and Subaru data, to test the small-scale behavior of DM during the epoch of reionization ($z\sim 7$). Marginalizing over astrophysical uncertainties, we find the matter power spectrum to be consistent with the cold-DM prediction down to sub-Mpc scales, with 1$σ$ uncertainties of 0.2 dex at $k=3-9 \, \rm Mpc^{-1}$ and 0.5 dex at $k=9-27 \, \rm Mpc^{-1}$, the smallest scales probed at these early times. For thermal-relic warm DM we constrain $m_{\rm WDM} > 3.2\, \rm keV$ (95% CL), independent of lower-$z$ probes. Our results test small-scale structure formation in a new redshift window and demonstrate the promise of JWST to constrain the nature of DM.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Julian B. Muñoz, John Chisholm, Seiji Fujimoto, Tiger Yu-Yang Hsiao, Kristen B. W. McQuinn, Priyamvada Natarajan, A. Saldana-Lopez, Hakim Atek, Arghyadeep Basu, Danielle Berg, Ryan Endsley, Lukas J. Furtak, Damien Korber, Rohan P. Naidu, Richard Pan, Daniel Schaerer. 2026-10-27. A GLIMPSE of Dark Matter: JWST Constraints on Early Structure Formation. https://arxiv.org/abs/2610.37751

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Constraints on Compact Dark Matter Population from Micro-lensing Effect of Gravitational Wave for the third-generation gravitational Wave Detector

Since the first direct detection of gravitational waves (GWs) from a binary black-hole merger by the LIGO-Virgo Collaboration, GWs have emerged as a powerful probe of astrophysics and cosmology. If extragalactic compact dark matter (DM) candidates, such as primordial black holes, constitute a non-negligible fraction of the DM component over a broad mass range, they can imprint distinctive microlensing signatures on GW signals. In this work, we develop a framework to infer the population properties of extragalactic compact DM by simulating microlensing GWs in the frequency band of the third-generation ground-based GW detector, the Einstein Telescope, and analyzing them via hierarchical Bayesian inference. For a population described by a power-law mass function, we show that the detection of only several microlensing GW events among $10^4$ binary black-hole coalescences can constrain the compact DMs abundance to the level of $\sim 10^{-3}$. This forecast demonstrates that searching for and identifying microlensing signatures in future GW observations can provide a complementary approach to constraining compact DM scenarios.

astro-ph.CO↗

Clustering redshift distribution calibration of weak lensing surveys using the DESI-DR1 spectroscopic dataset

We estimate the source redshift distribution of current weak lensing surveys by applying the clustering-based redshift calibration technique, using the galaxy redshift sample provided by the Dark Energy Spectroscopic Instrument Data Release 1 (DESI-DR1). We cross-correlate the Bright Galaxy Survey (BGS), Luminous Red Galaxies (LRGs) and Emission Line Galaxies (ELGs) from DESI, within the redshift range $0.1 < z < 1.6$, with overlapping tomographic source samples from the Dark Energy Survey (DES), Kilo-Degree Survey (KiDS), and Hyper Suprime-Cam (HSC) survey. Using realistic mock catalogues, we test the stability of the clustering redshift signal to fitting scale, reference-sample choice, and the evolution of source galaxy bias. We calibrate a source galaxy bias correction from simulations with conservative (factor-of-two inflated) priors to account for modelling uncertainties, and we explicitly model and marginalise over magnification contributions, which become non-negligible at $z \gtrsim 1$ due to the depth of the DESI ELG sample. We then compare the resulting bias-weighted redshift distributions to \rossi{previously calibrated redshift distributions from the literature, based on self-organising map (SOM) techniques}, finding agreement within uncertainties for all surveys and tomographic bins. Our results demonstrate that clustering redshifts enabled by DESI's unprecedented spectroscopic sample provides a robust, complementary, and independent constraint capable of reducing one of the dominant systematic uncertainties in weak lensing cosmology.

astro-ph.CO↗

Spectral Hierarchy of the Cosmic Web

We introduce a spectral hierarchy of cosmic-web classifications obtained by applying simple scale-weighting kernels to the density field before performing a standard eigenvalue-based web classification. This unifies and extends several widely used web definitions within a single framework: the familiar potential/tidal web (large-scale, nonlocal), a curvature-based web (more local, peak- and ridge-sensitive), and additional higher-derivative levels that progressively emphasize smaller-scale structure. Because the classification is built from second derivatives of the filtered field, successive hierarchy levels align naturally with operator families that appear in renormalised bias and effective descriptions of large-scale structure, providing an explicit bridge between cosmic-web environments and long- and short-range nonlocal bias ingredients. We quantify the information content of the hierarchy with a compact statistic: we map each cell to one of four ordered web types (void, sheet, filament, knot), construct a corresponding ``web contrast'' field, and measure its cross-correlation with halos from the AbacusSummit simulation suite on a coarse mesh with $ΔL\simeq 5.5\,h^{-1}\mathrm{Mpc}$. We find that the hierarchy retains significant tracer-relevant information from very large scales down to the mesh Nyquist limit, with the more local (curvature/higher-derivative) levels dominating toward nonlinear scales. This makes the spectral hierarchy a practical, interpretable conditioning basis for fast mock-galaxy production and field-level modelling, and a flexible tool for studying environment-dependent clustering and assembly bias.

astro-ph.CO↗