Noise reduction for weak lensing mass mapping: an application of generative adversarial networks to Subaru Hyper Suprime-Cam first-year data
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Takahiro Nishimichi | Shiro Ikeda | Naoki Yoshida | Masato Shirasaki | Kana Moriwaki | Taira Oogi | S. Ikeda | N. Yoshida | M. Shirasaki | T. Nishimichi | T. Oogi | K. Moriwaki | Shiro Ikeda
[1] N. Yoshida,et al. Deep Learning for Line Intensity Mapping Observations: Information Extraction from Noisy Maps , 2020, 2010.00809.
[2] Daniel J. Hsu,et al. Interpreting deep learning models for weak lensing , 2020, Physical Review D.
[3] Jean-Luc Starck,et al. Deep learning dark matter map reconstructions from DES SV weak lensing data , 2019, Monthly Notices of the Royal Astronomical Society.
[4] Takahiro Nishimichi,et al. The mass–richness relation of optically selected clusters from weak gravitational lensing and abundance with Subaru HSC first-year data , 2019, Publications of the Astronomical Society of Japan.
[5] R. Takahashi,et al. Mock galaxy shape catalogues in the Subaru Hyper Suprime-Cam Survey , 2019, Monthly Notices of the Royal Astronomical Society.
[6] Jia Liu,et al. Constraining neutrino mass with weak lensing Minkowski Functionals , 2018, Journal of Cosmology and Astroparticle Physics.
[7] Shiro Ikeda,et al. Denoising Weak Lensing Mass Maps with Deep Learning , 2018, Physical Review D.
[8] N. Yoshida,et al. Dark Quest. I. Fast and Accurate Emulation of Halo Clustering Statistics and Its Application to Galaxy Clustering , 2018, The Astrophysical Journal.
[9] David N. Spergel,et al. Constraining neutrino mass with the tomographic weak lensing bispectrum , 2018, Journal of Cosmology and Astroparticle Physics.
[10] M. Madhavacheril,et al. Constraining neutrino mass with the tomographic weak lensing one-point probability distribution function and power spectrum , 2018, Physical Review D.
[11] David N. Spergel,et al. Cosmology from cosmic shear power spectra with Subaru Hyper Suprime-Cam first-year data , 2018, Publications of the Astronomical Society of Japan.
[12] Istv'an Csabai,et al. Learning from deep learning: better cosmological parameter inference from weak lensing maps , 2018, 1806.05995.
[13] Daniel J. Hsu,et al. Non-Gaussian information from weak lensing data via deep learning , 2018, ArXiv.
[14] S. Borgani,et al. The effect of baryons in the cosmological lensing PDFs , 2017, 1711.10017.
[15] A. Leauthaud,et al. Weak lensing shear calibration with simulations of the HSC survey , 2017, Monthly Notices of the Royal Astronomical Society.
[16] D. Huterer,et al. Dark energy two decades after: observables, probes, consistency tests , 2017, Reports on progress in physics. Physical Society.
[17] R. Nichol,et al. Dark Energy Survey Year 1 results: Cosmological constraints from cosmic shear , 2017, Physical Review D.
[18] R. Nichol,et al. Dark energy survey year 1 results: curved-sky weak lensing mass map , 2017, 1708.01535.
[19] Satoshi Miyazaki,et al. The first-year shear catalog of the Subaru Hyper Suprime-Cam Subaru Strategic Program Survey , 2017, 1705.06745.
[20] Satoshi Miyazaki,et al. The on-site quality-assurance system for Hyper Suprime-Cam: OSQAH , 2018 .
[21] Yukiko Kamata,et al. Hyper Suprime-Cam: System design and verification of image quality , 2018 .
[22] Yukiko Kamata,et al. Hyper Suprime-Cam: Camera dewar design , 2018 .
[23] R. Takahashi,et al. Full-sky Gravitational Lensing Simulation for Large-area Galaxy Surveys and Cosmic Microwave Background Experiments , 2017, 1706.01472.
[24] Satoshi Miyazaki,et al. The bright-star masks for the HSC-SSP survey , 2017, 1705.00622.
[25] Satoshi Miyazaki,et al. Photometric Redshifts for Hyper Suprime-Cam Subaru Strategic Program Data Release 1 , 2017, 1704.05988.
[26] A. K. Inoue,et al. The Hyper Suprime-Cam SSP Survey: Overview and Survey Design , 2017, 1704.05858.
[27] Satoshi Miyazaki,et al. An optically-selected cluster catalog at redshift 0.1 , 2017, 1701.00818.
[28] P. Schneider,et al. KiDS-450: cosmological parameter constraints from tomographic weak gravitational lensing , 2016, 1606.05338.
[29] T. Eifler,et al. The impact of intrinsic alignment on current and future cosmic shear surveys , 2015, 1506.08730.
[30] William A. Brenneman,et al. Optimal Sliced Latin Hypercube Designs , 2015, Technometrics.
[31] R. Nichol,et al. Wide-Field Lensing Mass Maps from Dark Energy Survey Science Verification Data. , 2015, Physical review letters.
[32] L. Miller,et al. PROPERTIES OF WEAK LENSING CLUSTERS DETECTED ON HYPER SUPRIME-CAM's 2.3 deg2 FIELD , 2015 .
[33] Naoki Yoshida,et al. Probing cosmology with weak lensing selected clusters – I. Halo approach and all-sky simulations , 2015, 1504.05672.
[34] Morgan May,et al. Emulating the CFHTLenS weak lensing data: Cosmological constraints from moments and Minkowski functionals , 2015, 1503.06214.
[35] C. A. Oxborrow,et al. Planck2015 results , 2015, Astronomy & Astrophysics.
[36] Naoki Yoshida,et al. IMPACT OF BARYONIC PROCESSES ON WEAK-LENSING COSMOLOGY: POWER SPECTRUM, NONLOCAL STATISTICS, AND PARAMETER BIAS , 2015, 1501.02055.
[37] Mustapha Ishak,et al. The Intrinsic Alignment of Galaxies and its Impact on Weak Gravitational Lensing in an Era of Precision Cosmology , 2014, 1407.6990.
[38] M. Oguri. A cluster finding algorithm based on the multiband identification of red sequence galaxies , 2014, 1407.4693.
[39] Chieh-An Lin,et al. A New Model to Predict Weak Lensing Peak Counts , 2014, Proceedings of the International Astronomical Union.
[40] Naoki Yoshida,et al. STATISTICAL AND SYSTEMATIC ERRORS IN THE MEASUREMENT OF WEAK-LENSING MINKOWSKI FUNCTIONALS: APPLICATION TO THE CANADA–FRANCE–HAWAII LENSING SURVEY , 2013, 1312.5032.
[41] Naoki Yoshida,et al. EFFECT OF MASKED REGIONS ON WEAK-LENSING STATISTICS , 2013, 1304.2164.
[42] Edward J. Wollack,et al. NINE-YEAR WILKINSON MICROWAVE ANISOTROPY PROBE (WMAP) OBSERVATIONS: COSMOLOGICAL PARAMETER RESULTS , 2012, 1212.5226.
[43] Risa H. Wechsler,et al. THE ROCKSTAR PHASE-SPACE TEMPORAL HALO FINDER AND THE VELOCITY OFFSETS OF CLUSTER CORES , 2011, 1110.4372.
[44] Matthew R. Becker,et al. calclens: weak lensing simulations for large-area sky surveys and second-order effects in cosmic shear power spectra , 2012, 1210.3069.
[45] T. Nishimichi,et al. Combining perturbation theories with halo models , 2010, 1009.0597.
[46] H. Shan,et al. NOISY WEAK-LENSING CONVERGENCE PEAK STATISTICS NEAR CLUSTERS OF GALAXIES AND BEYOND , 2010, 1006.5121.
[47] Morgan May,et al. Probing cosmology with weak lensing peak counts , 2009, 0907.0486.
[48] J. P. Dietrich,et al. Cosmology with the shear-peak statistics , 2009, 0906.3512.
[49] Masanori Sato,et al. SIMULATIONS OF WIDE-FIELD WEAK LENSING SURVEYS. I. BASIC STATISTICS AND NON-GAUSSIAN EFFECTS , 2009, 0906.2237.
[50] Y. Jing,et al. Modeling Nonlinear Evolution of Baryon Acoustic Oscillations: Convergence Regime of $N$-body Simulations and Analytic Models , 2008, 0810.0813.
[51] Morgan May,et al. CONSTRAINING COSMOLOGY WITH HIGH-CONVERGENCE REGIONS IN WEAK LENSING SURVEYS , 2008, 0809.4052.
[52] R. Nichol,et al. Intrinsic galaxy alignments from the 2SLAQ and SDSS surveys: luminosity and redshift scalings and implications for weak lensing surveys , 2007, astro-ph/0701671.
[53] M. Crocce,et al. Transients from initial conditions in cosmological simulations , 2006, astro-ph/0606505.
[54] V. Springel. The Cosmological simulation code GADGET-2 , 2005, astro-ph/0505010.
[55] Naoki Yoshida,et al. Searching for massive clusters in weak lensing surveys , 2003, astro-ph/0310607.
[56] U. Florida,et al. Weak-Lensing Mass Reconstruction of the Interacting Cluster 1E 0657–558: Direct Evidence for the Existence of Dark Matter , 2003, astro-ph/0312273.
[57] G. Bernstein,et al. The skewness of the aperture mass statistic , 2003, astro-ph/0307393.
[58] Yannick Mellier,et al. Detection of Dark Matter Skewness in the VIRMOS-DESCART Survey: Implications for Ω0 , 2003 .
[59] Uros Seljak,et al. Shear calibration biases in weak-lensing surveys , 2003, astro-ph/0301054.
[60] Matias Zaldarriaga,et al. Higher Order Moments of the Cosmic Shear and Other Spin-2 Fields , 2003 .
[61] Masahiro Takada,et al. The Three-Point Correlation Function for Spin-2 Fields , 2002, astro-ph/0210261.
[62] Bonn,et al. Analysis of two-point statistics of cosmic shear - I. Estimators and covariances , 2002, astro-ph/0206182.
[63] M. Takada,et al. Lognormal Property of Weak-Lensing Fields , 2002, astro-ph/0202090.
[64] G. M. Bernstein,et al. Shapes and Shears, Stars and Smears: Optimal Measurements for Weak Lensing , 2001 .
[65] Y. Jing,et al. Implication of Ωm through the Morphological Analysis of Weak Lensing Fields , 2001, astro-ph/0104015.
[66] Yannick Mellier,et al. Numerical study of the statistical properties of the lensing excursion angles , 2001 .
[67] B. Jain,et al. The Topology of Weak Lensing Fields , 2000, astro-ph/0009402.
[68] Martin White,et al. Power Spectra Estimation for Weak Lensing , 2000 .
[69] Uros Seljak,et al. Ray-tracing Simulations of Weak Lensing by Large-Scale Structure , 1999, astro-ph/9901191.
[70] A. Lewis,et al. Efficient computation of CMB anisotropies in closed FRW models , 1999, astro-ph/9911177.
[71] P. Schneider. Detection of (dark) matter concentrations via weak gravitational lensing , 1996, astro-ph/9601039.
[72] Claude Brezinski,et al. Numerical recipes in Fortran (The art of scientific computing) : W.H. Press, S.A. Teukolsky, W.T. Vetterling and B.P. Flannery, Cambridge Univ. Press, Cambridge, 2nd ed., 1992. 963 pp., US$49.95, ISBN 0-521-43064-X.☆ , 1993 .
[73] N. Kaiser,et al. Mapping the dark matter with weak gravitational lensing , 1993 .
[74] F. Valdes,et al. Detection of systematic gravitational lens galaxy image alignments - Mapping dark matter in galaxy clusters , 1990 .