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