Exploring Cosmic Dawn with PANORAMIC II: Cosmic Variance and Galaxy Clustering at $z\sim10$
Abstract
Observational campaigns with JWST have revealed a higher-than-expected abundance of UV-bright galaxies at , with various proposed theoretical explanations. A powerful complementary constraint to break degeneracies between different models is galaxy clustering. In this paper, we combine PANORAMIC pure parallel and legacy imaging along 34 independent sightlines to measure the cosmic variance () in the number count of Lyman break galaxies at which is directly related to their clustering strength. We find , , and per NIRCam pointing (, at ) for galaxies with M, , and . Comparing to galaxies in the UniverseMachine, we find that is consistent with our measurements, but that the number densities are a factor lower. We implement simple models in the UniverseMachine that represent different physical mechanisms to enhance the number density of UV-bright galaxies. All models decrease by placing galaxies at fixed M in lower mass halos, but they do so to varying degrees. Combined constraints on and the UVLF tentatively disfavor models that globally increase the star formation efficiency (SFE) or the scatter in the M- relation, while models that decrease the mass-to-light ratio, or assume a power-law scaling of the SFE with agree better with the data. We show that with sufficient additional independent sightlines, robust discrimination between models is possible, paving the way for powerful constraints on the physics of early galaxy evolution through NIRCam pure parallel imaging.
Cite
@article{arxiv.2512.14212,
title = {Exploring Cosmic Dawn with PANORAMIC II: Cosmic Variance and Galaxy Clustering at $z\sim10$},
author = {Andrea Weibel and Christian Kragh Jespersen and Pascal A. Oesch and Christina C. Williams and Rachel Bezanson and Gabriel Brammer and Aidan P. Cloonan and Pratika Dayal and Anne Hutter and Zhiyuan Ji and Michael V. Maseda and Marko Shuntov and Katherine E. Whitaker},
journal= {arXiv preprint arXiv:2512.14212},
year = {2025}
}
Comments
22 pages, 8 figures, submitted to ApJ