Forward modelling of quasar light curves and the cosmological matter power spectrum on milliparsec scales
Mansour Karami, Niayesh Afshordi, Jes\'us Zavala

TL;DR
This paper introduces a novel method to analyze strongly lensed quasar light curves to measure the small-scale matter power spectrum, providing the strongest constraints to date on primordial fluctuations at milliparsec scales.
Contribution
The authors develop an optimal MCMC-based technique to extract the temporal power spectrum from quasar light curves, enabling new constraints on cosmological matter fluctuations at unprecedented small scales.
Findings
Constrained the non-linear matter power spectrum at milliparsec scales to Δ²<4×10⁷.
Set an upper limit on the primordial scalar power spectrum at k≈3 pc⁻¹ to P_R<3×10⁻⁹.
Forecasted that future surveys like LSST will vastly improve these measurements.
Abstract
We devise an optimal method to measure the temporal power spectrum of the lensing and intrinsic fluctuations of multiply-imaged strongly lensed quasar light curves, along with the associated time delays. The method is based on a Monte-Carlo Markov Chain (MCMC) sampling of a putative gaussian likelihood, and accurately recovers the input properties of simulated light curves, as well as the "Time Delay Challenge". We apply this method to constrain the dimensionless cosmological (non-linear) matter power spectrum on milliparsec scales (comparable to the size of the solar system), to at . Using a semi-analytic nonlinear clustering model which is calibrated to simulations, the corresponding constraint on the primordial (linear) scalar power spectrum is at 3 pc.…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Stellar, planetary, and galactic studies · Astronomy and Astrophysical Research
