Galaxy Clustering in Harmonic Space from the Dark Energy Survey Year 1 Data: Compatibility with Real-Space Results

TL;DR

This paper develops and validates a harmonic space analysis pipeline for galaxy clustering data from DES-Y1, demonstrating compatibility with real-space results and enabling future analyses with larger datasets.

Contribution

The authors introduce a harmonic space analysis method for DES-Y1 galaxy clustering data, validated against simulations and real-space results, facilitating future harmonic analyses.

Findings

Harmonic space analysis results are compatible with real-space results.

Validation with simulations confirms the pipeline's reliability.

Method sets the stage for analyzing DES-Y3 data in harmonic space.

Abstract

We perform an analysis in harmonic space of the Dark Energy Survey Year 1 Data (DES-Y1) galaxy clustering data using products obtained for the real-space analysis. We test our pipeline with a suite of lognormal simulations, which are used to validate scale cuts in harmonic space as well as to provide a covariance matrix that takes into account the DES-Y1 mask. We then apply this pipeline to DES-Y1 data taking into account survey property maps derived for the real-space analysis. We compare with real-space DES-Y1 results obtained from a similar pipeline. We show that the harmonic space analysis we develop yields results that are compatible with the real-space analysis for the bias parameters. This verification paves the way to performing a harmonic space analysis for the upcoming DES-Y3 data.