Multiplicative errors in the galaxy power spectrum: self-calibration of unknown photometric systematics for precision cosmology

TL;DR

This paper introduces a self-calibration method to correct multiplicative photometric calibration errors in galaxy clustering measurements, enhancing the accuracy of cosmological parameter estimation.

Contribution

The authors develop a general technique to measure and correct large-scale calibration errors, mitigating their impact on small-scale galaxy power spectrum analysis.

Findings

Effective correction demonstrated on synthetic data

Reduces bias from calibration errors in galaxy clustering

Applicable to real observational data

Abstract

We develop a general method to "self-calibrate" observations of galaxy clustering with respect to systematics associated with photometric calibration errors. We first point out the danger posed by the multiplicative effect of calibration errors, where large-angle error propagates to small scales and may be significant even if the large-scale information is cleaned or not used in the cosmological analysis. We then propose a method to measure the arbitrary large-scale calibration errors and use these measurements to correct the small-scale (high-multipole) power which is most useful for constraining the majority of cosmological parameters. We demonstrate the effectiveness of our approach on synthetic examples and briefly discuss how it may be applied to real data.