Institution
University of Tokyo
Education•Tokyo, Japan•
About: University of Tokyo is a education organization based out in Tokyo, Japan. It is known for research contribution in the topics: Population & Gene. The organization has 134564 authors who have published 337567 publications receiving 10178620 citations. The organization is also known as: Todai & Universitas Tociensis.
Topics: Population, Gene, Catalysis, Magnetic field, Galaxy
Papers published on a yearly basis
Papers
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TL;DR: In this article, the fraction of the universe going into primordial black holes in the mass range was studied and the effects of their evaporations on big bang nucleosynthesis and the extragalactic photon background were discussed.
Abstract: We update the constraints on the fraction of the Universe going into primordial black holes in the mass range ${10}^{9}--{10}^{17}\text{ }\text{ }\mathrm{g}$ associated with the effects of their evaporations on big bang nucleosynthesis and the extragalactic photon background. We include for the first time all the effects of quark and gluon emission by black holes on these constraints and account for the latest observational developments. We then discuss the other constraints in this mass range and show that these are weaker than the nucleosynthesis and photon background limits, apart from a small range ${10}^{13}--{10}^{14}\text{ }\text{ }\mathrm{g}$, where the damping of cosmic microwave background anisotropies dominates. Finally we review the gravitational and astrophysical effects of nonevaporating primordial black holes, updating constraints over the broader mass range $1--{10}^{50}\text{ }\text{ }\mathrm{g}$.
1,074 citations
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University of Chicago1, University of Arizona2, Fermilab3, Princeton University4, Johns Hopkins University5, University of Pittsburgh6, Carnegie Mellon University7, Yale University8, University of Chile9, University of Tokyo10, New York University11, Space Telescope Science Institute12, California Institute of Technology13, Rochester Institute of Technology14, Pennsylvania State University15, Drexel University16, Ohio State University17
TL;DR: In this paper, the authors describe the target selection and resulting properties of a spectroscopic sample of luminous red galaxies (LRGs) from the imaging data of the Sloan Digital Sky Survey (SDSS).
Abstract: We describe the target selection and resulting properties of a spectroscopic sample of luminous red galaxies (LRGs) from the imaging data of the Sloan Digital Sky Survey (SDSS). These galaxies are selected on the basis of color and magnitude to yield a sample of luminous intrinsically red galaxies that extends fainter and farther than the main flux-limited portion of the SDSS galaxy spectroscopic sample. The sample is designed to impose a passively evolving luminosity and rest-frame color cut to a redshift of 0.38. Additional, yet more luminous red galaxies are included to a redshift of ~0.5. Approximately 12 of these galaxies per square degree are targeted for spectroscopy, so the sample will number over 100,000 with the full survey. SDSS commissioning data indicate that the algorithm efficiently selects luminous (M^+_g ≈ -21.4) red galaxies, that the spectroscopic success rate is very high, and that the resulting set of galaxies is approximately volume limited out to z = 0.38. When the SDSS is complete, the LRG spectroscopic sample will fill over 1 h^(-3) Gpc^3 with an approximately homogeneous population of galaxies and will therefore be well suited to studies of large-scale structure and clusters out to z = 0.5.
1,073 citations
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TL;DR: It is found that contact, delayed-type, and airway hypersensitivity responses, as well as T-dependent antibody production, were significantly reduced in the mutant mice, while IL-17 deficiency of donor T cells did not affect acute graft-versus-host reaction.
1,072 citations
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TL;DR: CUBIC enables time-course expression profiling of whole adult brains with single-cell resolution and develops a whole-brain cell-nuclear counterstaining protocol and a computational image analysis pipeline that enable the visualization and quantification of neural activities induced by environmental stimulation.
1,070 citations
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TL;DR: A new multilevel coding method that uses several error-correcting codes that makes effective use of soft-decisions to improve the performance of decoding and is superior to other multileVEL coding systems.
Abstract: A new multilevel coding method that uses several error-correcting codes is proposed. The transmission symbols are constructed by combining symbols of codewords of these codes. Usually, these codes are binary error-correcting codes and have different error-correcting capabilities. For various channels, efficient systems can be obtained by choosing these codes appropriately. Encoding and decoding procedures for this method are relatively simple compared with those of other multilevel coding methods. In addition, this method makes effective use of soft-decisions to improve the performance of decoding. The decoding error probability is analyzed for multiphase modulation, and numerical comparisons to other multilevel coding systems are made. When equally complex systems are compared, the new system is superior to other multilevel coding systems.
1,070 citations
Authors
Showing all 135252 results
Name | H-index | Papers | Citations |
---|---|---|---|
Ronald C. Kessler | 274 | 1332 | 328983 |
Donald P. Schneider | 242 | 1622 | 263641 |
George M. Whitesides | 240 | 1739 | 269833 |
Jing Wang | 184 | 4046 | 202769 |
Tadamitsu Kishimoto | 181 | 1067 | 130860 |
Yusuke Nakamura | 179 | 2076 | 160313 |
Dennis J. Selkoe | 177 | 607 | 145825 |
David L. Kaplan | 177 | 1944 | 146082 |
D. M. Strom | 176 | 3167 | 194314 |
Masayuki Yamamoto | 171 | 1576 | 123028 |
Krzysztof Matyjaszewski | 169 | 1431 | 128585 |
Yang Yang | 164 | 2704 | 144071 |
Qiang Zhang | 161 | 1137 | 100950 |
Kenji Kangawa | 153 | 1117 | 110059 |
Takashi Taniguchi | 152 | 2141 | 110658 |