First Identification of a CMB Lensing Signal Produced by 1.5 Million Galaxies at z∼4: Constraints on Matter Density Fluctuations at High Redshift.
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N. Bahcall | S. Miyazaki | M. Ouchi | A. Nishizawa | Y. Harikane | Y. Ono | H. Miyatake | A. P. Malag'on | Nanaka Yamamoto
[1] S. Arnouts,et al. GOLDRUSH. IV. Luminosity Functions and Clustering Revealed with ∼4,000,000 Galaxies at z ∼ 2–7: Galaxy–AGN Transition, Star Formation Efficiency, and Implication for Evolution at z > 10 , 2021, The Astrophysical Journal Supplement Series.
[2] A. Melchiorri,et al. In the realm of the Hubble tension—a review of solutions , 2021, Classical and Quantum Gravity.
[3] H. Hoekstra,et al. KiDS-1000 Cosmology: Multi-probe weak gravitational lensing and spectroscopic galaxy clustering constraints , 2020, Astronomy & Astrophysics.
[4] Edward J. Wollack,et al. The Atacama Cosmology Telescope: DR4 maps and cosmological parameters , 2020, Journal of Cosmology and Astroparticle Physics.
[5] K. Umetsu. Cluster–galaxy weak lensing , 2020, 2007.00506.
[6] Tristan L. Smith,et al. Clustering and halo abundances in early dark energy cosmological models , 2020, Monthly Notices of the Royal Astronomical Society.
[7] A. Hopkins,et al. GAMA + KiDS: empirical correlations between halo mass and other galaxy properties near the knee of the stellar-to-halo mass relation , 2020, Monthly Notices of the Royal Astronomical Society.
[8] Edward J. Wollack,et al. The Atacama Cosmology Telescope: a CMB lensing mass map over 2100 square degrees of sky and its cross-correlation with BOSS-CMASS galaxies , 2020, Monthly Notices of the Royal Astronomical Society.
[9] A. Leauthaud,et al. Cosmological constraints from cosmic shear two-point correlation functions with HSC survey first-year data , 2019, Publications of the Astronomical Society of Japan.
[10] R. B. Barreiro,et al. Planck 2018 results , 2018, Astronomy & Astrophysics.
[11] Mark Halpern,et al. CMB-S4 Science Case, Reference Design, and Project Plan , 2019, 1907.04473.
[12] Yen-Ting Lin,et al. Second data release of the Hyper Suprime-Cam Subaru Strategic Program , 2019, Publications of the Astronomical Society of Japan.
[13] M. White,et al. Cosmology with dropout selection: straw-man surveys & CMB lensing , 2019, Journal of Cosmology and Astroparticle Physics.
[14] A. Riess,et al. Large Magellanic Cloud Cepheid Standards Provide a 1% Foundation for the Determination of the Hubble Constant and Stronger Evidence for Physics beyond ΛCDM , 2019, The Astrophysical Journal.
[15] Andrew P. Hearin,et al. Weak lensing reveals a tight connection between dark matter halo mass and the distribution of stellar mass in massive galaxies , 2018, Monthly Notices of the Royal Astronomical Society.
[16] Edward J. Wollack,et al. The Simons Observatory: science goals and forecasts , 2018, Journal of Cosmology and Astroparticle Physics.
[17] Fred Moolekamp,et al. An Overview of the LSST Image Processing Pipelines , 2018, 1812.03248.
[18] R. Sarpong,et al. Bio-inspired synthesis of xishacorenes A, B, and C, and a new congener from fuscol† †Electronic supplementary information (ESI) available. See DOI: 10.1039/c9sc02572c , 2019, Chemical science.
[19] W. Tan,et al. GOLDRUSH , 2018, Proceedings of the VLDB Endowment.
[20] J. Tinker,et al. The Connection Between Galaxies and Their Dark Matter Halos , 2018, Annual Review of Astronomy and Astrophysics.
[21] A. Leauthaud,et al. Weak lensing shear calibration with simulations of the HSC survey , 2017, Monthly Notices of the Royal Astronomical Society.
[22] Yen-Ting Lin,et al. GOLDRUSH. III. A systematic search for protoclusters at z ∼ 4 based on the >100 deg2 area , 2017, 1708.09421.
[23] B. Yanny,et al. Dark Energy Survey year 1 results: Cosmological constraints from galaxy clustering and weak lensing , 2017, Physical Review D.
[24] Karl Glazebrook,et al. KiDS-450 + 2dFLenS: Cosmological parameter constraints from weak gravitational lensing tomography and overlapping redshift-space galaxy clustering , 2017, 1707.06627.
[25] Satoshi Miyazaki,et al. The first-year shear catalog of the Subaru Hyper Suprime-Cam Subaru Strategic Program Survey , 2017, 1705.06745.
[26] Satoshi Miyazaki,et al. GOLDRUSH - II. Clustering of galaxies at z ∼ 4–6 revealed with the half-million dropouts over the 100 deg2 area corresponding to 1 Gpc3 , 2017, 1704.06535.
[27] Yukiko Kamata,et al. First data release of the Hyper Suprime-Cam Subaru Strategic Program , 2017, 1702.08449.
[28] Yukiko Kamata,et al. Hyper Suprime-Cam: System design and verification of image quality , 2018 .
[29] O. Ilbert,et al. The Galaxy–Halo Connection for as Revealed by the Spitzer Matching Survey of the UltraVISTA Ultra-deep Stripes , 2017, 1712.03844.
[30] Song Huang,et al. The Hyper Suprime-Cam Software Pipeline , 2017, 1705.06766.
[31] Mohammad Akhlaghi,et al. Great Optically Luminous Dropout Research Using Subaru HSC (GOLDRUSH). I. UV Luminosity Functions at $z \sim 4-7$ Derived with the Half-Million Dropouts on the 100 deg$^2$ Sky , 2017, 1704.06004.
[32] W. M. Wood-Vasey,et al. The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic Survey: cosmological analysis of the DR12 galaxy sample , 2016, 1607.03155.
[33] Masayuki Tanaka,et al. The Galaxy–Halo Connection in High-redshift Universe: Details and Evolution of Stellar-to-halo Mass Ratios of Lyman Break Galaxies on CFHTLS Deep Fields , 2016, 1612.06869.
[34] Naoyuki Tamura,et al. The Subaru FMOS galaxy redshift survey (FastSound). IV. New constraint on gravity theory from redshift space distortions at z ∼ 1.4 , 2015, 1511.08083.
[35] M.Vaccari,et al. The galaxy–halo connection in the VIDEO survey at 0.5 < z < 1.7 , 2015, 1511.05476.
[36] K. Glazebrook,et al. The Subaru FMOS Galaxy Redshift Survey (FastSound). II. The Emission Line Catalog and Properties of Emission Line Galaxies , 2015, 1504.05592.
[37] Edward J. Wollack,et al. Wide-Field InfrarRed Survey Telescope-Astrophysics Focused Telescope Assets WFIRST-AFTA 2015 Report , 2015, 1503.03757.
[38] B. Garilli,et al. The galaxy-halo connection from a joint lensing, clustering and abundance analysis in the CFHTLenS/VIPERS field , 2015, 1502.02867.
[39] O. Fèvre,et al. Probing the galaxy–halo connection in UltraVISTA to z ∼ 2 , 2014, 1411.4983.
[40] B. J.,et al. THE WEAK LENSING SIGNAL AND THE CLUSTERING OF BOSS GALAXIES I: MEASUREMENTS , 2015 .
[41] R. Somerville,et al. Physical Models of Galaxy Formation in a Cosmological Framework , 2014, 1412.2712.
[42] J. Brownstein,et al. THE WEAK LENSING SIGNAL AND THE CLUSTERING OF BOSS GALAXIES. II. ASTROPHYSICAL AND COSMOLOGICAL CONSTRAINTS , 2014, 1407.1856.
[43] A. Hopkins,et al. Galaxy And Mass Assembly (GAMA): improved cosmic growth measurements using multiple tracers of large-scale structure , 2013, 1309.5556.
[44] G. Zamorani,et al. The VIMOS Public Extragalactic Redshift Survey (VIPERS) - Galaxy clustering and redshift-space distortions at z ≃ 0.8 in the first data release , 2013, 1303.2622.
[45] A. Slosar,et al. Cosmological parameter constraints from galaxy-galaxy lensing and galaxy clustering with the SDSS DR7 , 2012, 1207.1120.
[46] S. More,et al. Cosmological Constraints from a Combination of Galaxy Clustering and Lensing -- III. Application to SDSS Data , 2012, 1207.0503.
[47] Daniel Foreman-Mackey,et al. emcee: The MCMC Hammer , 2012, 1202.3665.
[48] Matthew Colless,et al. The 6dF Galaxy Survey: z≈ 0 measurements of the growth rate and σ8: 6dFGS: z≈ 0 measurements of fσ8 and σ8 , 2012 .
[49] Will Saunders,et al. The 6dF Galaxy Survey: z \approx 0 measurement of the growth rate and sigma_8 , 2012, 1204.4725.
[50] R. Mandelbaum,et al. Photometric redshift requirements for lens galaxies in galaxy–galaxy lensing analyses , 2011, 1107.1395.
[51] Scott Croom,et al. The WiggleZ Dark Energy Survey: the growth rate of cosmic structure since redshift z=0.9 , 2011, 1104.2948.
[52] Tristan L. Smith,et al. NEW CONSTRAINTS ON THE EVOLUTION OF THE STELLAR-TO-DARK MATTER CONNECTION: A COMBINED ANALYSIS OF GALAXY–GALAXY LENSING, CLUSTERING, AND STELLAR MASS FUNCTIONS FROM z = 0.2 to z = 1 , 2011, 1104.0928.
[53] Michael S. Warren,et al. THE LARGE-SCALE BIAS OF DARK MATTER HALOS: NUMERICAL CALIBRATION AND MODEL TESTS , 2010, 1001.3162.
[54] R. Mandelbaum,et al. Algorithm for the direct reconstruction of the dark matter correlation function from weak lensing and galaxy clustering , 2009, 0911.4973.
[55] L. Waerbeke,et al. CARS: the CFHTLS-Archive-Research Survey - II. Weighing dark matter halos of Lyman-break galaxies at z = 3–5 , 2009, 0903.3951.
[56] S. Kay,et al. Dark matter halo concentrations in the Wilkinson Microwave Anisotropy Probe year 5 cosmology , 2008, 0804.2486.
[57] J. Brinkmann,et al. Systematic errors in weak lensing: application to SDSS galaxy-galaxy weak lensing , 2005, astro-ph/0501201.
[58] R. Ellis,et al. The 2dF Galaxy Redshift Survey: spherical harmonics analysis of fluctuations in the final catalogue , 2004, astro-ph/0406513.
[59] B. Jain,et al. The three‐point correlation function in cosmology , 2002, astro-ph/0209167.
[60] A. Lewis,et al. Cosmological parameters from CMB and other data: A Monte Carlo approach , 2002, astro-ph/0205436.
[61] G. Lake,et al. The Structure of Cold Dark Matter Halos , 1998 .
[62] S. White,et al. A Universal Density Profile from Hierarchical Clustering , 1996, astro-ph/9611107.
[63] S. White,et al. The Structure of cold dark matter halos , 1995, astro-ph/9508025.