FPFS Shear Estimator: Systematic Tests on the Hyper Suprime-Cam Survey First Year Data. (arXiv:1911.02195v1 [astro-ph.CO])
<a href="http://arxiv.org/find/astro-ph/1/au:+Li_X/0/1/0/all/0/1">Xiangchong Li</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Oguri_M/0/1/0/all/0/1">Masamune Oguri</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Katayama_N/0/1/0/all/0/1">Nobuhiko Katayama</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Luo_W/0/1/0/all/0/1">Wentao Luo</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Wang_W/0/1/0/all/0/1">Wenting Wang</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Han_J/0/1/0/all/0/1">Jiaxin Han</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Miyatake_H/0/1/0/all/0/1">Hironao Miyatake</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Nakamura_K/0/1/0/all/0/1">Keigo Nakamura</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+More_S/0/1/0/all/0/1">Surhud More</a>
We apply the Fourier Power Function Shapelets (FPFS) shear estimator to the
first year data of the Hyper Suprime-Cam survey to construct a shape catalog.
The FPFS shear estimator has been demonstrated to have multiplicative bias less
than one percent in the absence of blending, regardless of complexities of
galaxy shapes, smears of point spread functions (PSFs) and contamination from
noise. The blending bias is calibrated with realistic image simulations, which
include the impact of neighboring objects, using the COSMOS Hubble Space
Telescope images. Here we carefully test the influence of PSF model residual on
the FPFS shear estimation and the uncertainties in the shear calibration.
Internal null tests are conducted to characterize potential systematics in the
FPFS shape catalog and the results are compared with those measured using a
catalog where the shapes were estimated using the re-Gaussianization
algorithms. Furthermore, we compare various weak lensing measurements between
the FPFS shape catalog and the re-Gaussianization shape catalog and conclude
that the weak lensing measurements between these two shape catalogs are
consistent with each other within the statistical uncertainty.
We apply the Fourier Power Function Shapelets (FPFS) shear estimator to the
first year data of the Hyper Suprime-Cam survey to construct a shape catalog.
The FPFS shear estimator has been demonstrated to have multiplicative bias less
than one percent in the absence of blending, regardless of complexities of
galaxy shapes, smears of point spread functions (PSFs) and contamination from
noise. The blending bias is calibrated with realistic image simulations, which
include the impact of neighboring objects, using the COSMOS Hubble Space
Telescope images. Here we carefully test the influence of PSF model residual on
the FPFS shear estimation and the uncertainties in the shear calibration.
Internal null tests are conducted to characterize potential systematics in the
FPFS shape catalog and the results are compared with those measured using a
catalog where the shapes were estimated using the re-Gaussianization
algorithms. Furthermore, we compare various weak lensing measurements between
the FPFS shape catalog and the re-Gaussianization shape catalog and conclude
that the weak lensing measurements between these two shape catalogs are
consistent with each other within the statistical uncertainty.
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