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Metadetection Weak Lensing for the Vera C. Rubin Observatory
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Metadetection Weak Lensing for the Vera C. Rubin Observatory
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Forthcoming astronomical imaging surveys will use weak gravitational lensing shear as a primary probe to study dark energy, with accuracy requirements at the 0.1% level. We present an implementation of the Metadetection shear measurement algorithm for use with the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST). This new code works with the data products produced by the LSST Science Pipelines, and uses the pipeline algorithms when possible. We tested the code using a new set of simulations designed to mimic LSST imaging data. The simulated images contained semi-realistic galaxies, stars with representative distributions of magnitudes and galactic spatial density, cosmic rays, bad CCD columns and spatially variable point spread functions. Bright stars were saturated and simulated ``bleed trails'' were drawn. Problem areas were interpolated, and the images were coadded into small cells, excluding images not fully covering the cell to guarantee a continuous point spread function. In all our tests the measured shear was accurate within the LSST requirements.
Forward citations
Cited by 5 Pith papers
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Neural Posterior Estimation for Inferring Weak Lensing Shear
Neural posterior estimation recovers accurate, well-calibrated constant-shear posteriors from simulated multiband images that include blending, variable PSFs, stars, and detector artifacts.
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Robust Photometry for Roman High-Latitude Imaging Survey Cosmology Using Roman and Rubin Imaging
slimfarmer recovers Roman/Rubin colors to tens of millimag on simulations and demonstrates that correlated-noise treatment and joint multi-object fitting are required to control blending-induced photo-z systematics.
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Edges In Coadded Images
Edge discontinuities in coadds cause significant shear biases only in extreme cases such as two-input-image stacks or 25% PSF size jumps, and these cases can be flagged and removed with a simple PSF variation statistic.
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Accurate Galaxy Cluster Shear and Mass Calibration for LSST with AnaCal
AnaCal recovers input shear with low bias in high-shear cluster regimes under LSST-like conditions, producing 0.24% mean mass bias.
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Edges In Coadded Images
Edge discontinuities in coadded images cause no significant shear bias for typical galaxy populations and coadd conditions, but can exceed requirements in extremes like two-input coadds or 25% PSF variation.
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