Connecting the Dots: Prospects for Detecting Multi-Source Inflation through Scale-Dependent and Stochastic Bias of Little Red Dots
Abstract
Recent work has proposed using the spatial clustering of Little Red Dots (LRDs) as a high-redshift cosmological probe. In this paper, we investigate the feasibility of obtaining a LRD sample with a future space experiment, and forecast LRD constraints on primordial local-type non-Gaussianity, flocNL, and the collapsed-limit trispectrum amplitude, τlocNL. LRDs are ideally suited to probe these inflationary parameters because they span a large cosmological volume, have high bias and are easily identifiable. We perform idealised joint fNLloc--τNLloc Fisher forecasts assuming the universality relation, Gaussian covariance, Poisson shot-noise and a normalised redshift dispersion, σ(z) / ( 1+z )= 0.03. We quantify the significance at which one would detect multi-source inflation under the Suyama--Yamaguchi relation, τlocNL > ( 6/5 fNL)2, across the fNLloc--τNLloc plane. We find that a LRD analysis could robustly detect multi-source inflation at high-significance over a large region of parameter space, and would be more constraining than all other past or present experiments.
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BibTeX
@misc{taylor2026connecting,
title = {{Connecting the Dots: Prospects for Detecting Multi-Source Inflation through Scale-Dependent and Stochastic Bias of Little Red Dots}},
author = {Peter L. Taylor and Xinyi Chen and Christopher M. Hirata and Charuhas Shiveshwarkar},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2609.36002},
eprint = {2609.36002},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.36002},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - Connecting the Dots: Prospects for Detecting Multi-Source Inflation through Scale-Dependent and Stochastic Bias of Little Red Dots
AU - Peter L. Taylor
AU - Xinyi Chen
AU - Christopher M. Hirata
AU - Charuhas Shiveshwarkar
PY - 2026
DA - 2026/09/28
PB - arXiv
DO - 10.48550/arxiv.2609.36002
UR - https://arxiv.org/abs/2609.36002
AB - Recent work has proposed using the spatial clustering of Little Red Dots (LRDs) as a high-redshift cosmological probe. In this paper, we investigate the feasibility of obtaining a LRD sample with a future space experiment, and forecast LRD constraints on primordial local-type non-Gaussianity, f^loc_NL, and the collapsed-limit trispectrum amplitude, τ^loc_NL. LRDs are ideally suited to probe these inflationary parameters because they span a large cosmological volume, have high bias and are easily identifiable. We perform idealised joint f_NL^loc--τ_NL^loc Fisher forecasts assuming the universality relation, Gaussian covariance, Poisson shot-noise and a normalised redshift dispersion, σ(z) / ( 1+z )= 0.03. We quantify the significance at which one would detect multi-source inflation under the Suyama--Yamaguchi relation, τ^loc_NL > ( 6/5 f_NL)^2, across the f_NL^loc--τ_NL^loc plane. We find that a LRD analysis could robustly detect multi-source inflation at high-significance over a large region of parameter space, and would be more constraining than all other past or present experiments.
ER -