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Photometric Redshifts for the Hyper Suprime-Cam Subaru Strategic Program Data Release 2
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abstract
We present a description of the second data release for the photometric redshift (photo-$z$) of the Subaru Strategic Program for the Hyper-Suprime Cam survey. Our photo-$z$ products for the entire area in the Data Release 2 are publicly available, and both our point estimate catalog products and full PDFs can be retrieved from the data release site, \url{https://hsc-release.mtk.nao.ac.jp/}.
Forward citations
Cited by 9 Pith papers
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Optimizing the extraction of information from redshift probability distribution functions
turboPDZ extracts optimized photo-z point estimates and reliability scores from PDZs that outperform HSC catalog z_best and risk/confidence flags across six pipeline-layer combinations.
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A random-forest-guided set of color cuts in deep multi-band imaging selects z=1.1–1.6 emission-line galaxies at 1372 deg^-2 with 84% redshift-range success, more than doubling the net DESI ELG yield.
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Cosmic Shear constraints from HSC Year 3 with clustering calibration of the tomographic redshift distributions from DESI
Reanalysis of HSC Y3 cosmic shear with DESI clustering redshift calibration yields S8 = 0.805 ± 0.018, a 1.8× error reduction and upward shift toward Planck cosmology.
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Full calibration of the tomographic redshift distribution from the HSC PDR3 Shape Catalog with DESI
Clustering redshifts with DESI DR1/DR2 calibrate all four HSC Y3 tomographic bins; bins 3 and 4 shift to higher redshift (dz3=-0.039, dz4=-0.048) but less than cosmic shear analyses implied.
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Cosmology and Source Redshift Constraints from Galaxy Clustering and Tomographic Weak Lensing with HSC Y3 and SDSS using the Point-Mass Correction Model
Galaxy clustering plus weak lensing from HSC Y3 and SDSS gives S8 = 0.780 ± 0.030 and lensing-only redshift offsets Δz3 = -0.112, Δz4 = -0.185.
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Forecasting the Impact of Source Galaxy Photometric Redshift Uncertainties on the LSST $3\times2$pt Analysis
A Fisher forecast code for LSST 3x2pt and cosmic shear shows photo-z parameter marginalization inflates contours 2 to 6 times, and maps the most impactful photo-z parameters for each cosmological parameter.
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Lensing Without Borders: Measurements of galaxy-galaxy lensing and projected galaxy clustering in DESI DR1
DESI DR1 galaxy-galaxy lensing measurements are consistent across four source surveys once HSC galaxy redshift distributions are shifted, supporting their use in cosmological analyses.
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Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network
LSTM-MDNz improves photometric redshift point estimates and calibrated PDFs over a BNN baseline on HSC GalaxiesML, cutting outliers ~20% and enabling high-purity catalogs via z_conf.
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Modelling Galaxy Clustering and Tomographic Galaxy-Galaxy Lensing with HSC Y3 and SDSS using the Point-Mass Correction Model and Redshift Self-Calibration
Combining SDSS clustering with HSC Y3 galaxy-galaxy lensing, with a point-mass correction down to 2 Mpc/h, gives S8 = 0.804 ± 0.051 and self-calibrated redshift shifts for the two highest source bins.
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