# The first-year shear catalog of the Subaru Hyper Suprime-Cam SSP Survey

## TL;DR

This paper presents the first-year galaxy shape catalog from the Subaru Hyper Suprime-Cam survey, characterizing its quality, systematics, and suitability for cosmological weak lensing analysis.

## Contribution

It provides a detailed characterization of the galaxy shape catalog, including systematics assessment and requirements validation for weak lensing cosmology.

## Key findings

- PSF models meet weak lensing requirements
- Null tests show no significant shape measurement biases
- Star-galaxy shape correlations indicate need for systematic mitigation

## Abstract

We present and characterize the catalog of galaxy shape measurements that will be used for cosmological weak lensing measurements in the Wide layer of the first year of the Hyper Suprime-Cam (HSC) survey. The catalog covers an area of 136.9 deg$^2$ split into six fields, with a mean $i$-band seeing of $0.58$ arcsec and $5\sigma$ point-source depth of $i\sim 26$. Given conservative galaxy selection criteria for first year science, the depth and excellent image quality results in unweighted and weighted source number densities of 24.6 and 21.8 arcmin$^{-2}$, respectively. We define the requirements for cosmological weak lensing science with this catalog, then focus on characterizing potential systematics in the catalog using a series of internal null tests for problems with point-spread function (PSF) modeling, shear estimation, and other aspects of the image processing. We find that the PSF models narrowly meet requirements for weak lensing science with this catalog, with fractional PSF model size residuals of approximately $0.003$ (requirement: 0.004) and the PSF model shape correlation function $\rho_1<3\times 10^{-7}$ (requirement: $4\times 10^{-7}$) at 0.5$^\circ$ scales. A variety of galaxy shape-related null tests are statistically consistent with zero, but star-galaxy shape correlations reveal additive systematics on $>1^\circ$ scales that are sufficiently large as to require mitigation in cosmic shear measurements. Finally, we discuss the dominant systematics and the planned algorithmic changes to reduce them in future data reductions.