The Resource Probing Cosmic Dark Matter and Dark Energy with Weak Gravitational Lensing Statistics, Masato Shirasaki

Probing Cosmic Dark Matter and Dark Energy with Weak Gravitational Lensing Statistics, Masato Shirasaki

Label
Probing Cosmic Dark Matter and Dark Energy with Weak Gravitational Lensing Statistics
Title
Probing Cosmic Dark Matter and Dark Energy with Weak Gravitational Lensing Statistics
Statement of responsibility
Masato Shirasaki
Creator
Author
Author
Subject
Genre
Language
eng
Summary
"In this book the applicability and the utility of two statistical approaches for understanding dark energy and dark matter with gravitational lensing measurement are introduced. For cosmological constraints on the nature of dark energy, morphological statistics called Minkowski functionals (MFs) to extract the non-Gaussian information of gravitational lensing are studied. Measuring lensing MFs from the Canada-France-Hawaii Telescope Lensing survey (CFHTLenS), the author clearly shows that MFs can be powerful statistics beyond the conventional approach with the two-point correlation function. Combined with the two-point correlation function, MFs can constrain the equation of state of dark energy with a precision level of approximately 3-4 % in upcoming surveys with sky coverage of 20,000 square degrees. On the topic of dark matter, the author studied the cross-correlation of gravitational lensing and the extragalactic gamma-ray background (EGB). Dark matter annihilation is among the potential contributors to the EGB. The cross-correlation is a powerful probe of signatures of dark matter annihilation, because both cosmic shear and gamma-ray emission originate directly from the same dark matter distribution in the universe. The first measurement of the cross-correlation using a real data set obtained from CFHTLenS and the Fermi Large Area Telescope was performed. Comparing the result with theoretical predictions, an independent constraint was placed on dark matter annihilation. Future lensing surveys will be useful to constrain on the canonical value of annihilation cross section for a wide range of mass of dark matter annihilation. Future lensing surveys will be useful to constrain on the canonical value of annihilation cross section for a wide range of mass of dark matter."--Publisher's description
Member of
Cataloging source
NUI
http://library.link/vocab/creatorName
Shirasaki, Masato
Dewey number
520
Illustrations
illustrations
Image bit depth
0
Index
no index present
LC call number
QB791.3
LC item number
P758 2016
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Series statement
Springer Theses : Recognizing Outstanding Ph. D. Research,
http://library.link/vocab/subjectName
  • Dark matter (Astronomy)
  • Dark energy (Astronomy)
  • Gravitational lenses
  • Gravitational lenses
  • Cosmology
  • SCIENCE
  • Cosmology
  • Gravitational lenses
  • Physics
  • Astronomy, Astrophysics and Cosmology
  • Measurement Science and Instrumentation
  • Complex Systems
  • Statistical Physics and Dynamical Systems
Label
Probing Cosmic Dark Matter and Dark Energy with Weak Gravitational Lensing Statistics, Masato Shirasaki
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-981-287-796-3
Instantiates
Publication
Copyright
Note
"Doctoral Thesis accepted by The University of Tokyo, Tokyo, Japan."
Antecedent source
mixed
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • 1.2.
  • Astrophysical Evidence of Dark Matter.
  • 1.2.1.
  • Rotation Curves of Galaxies.
  • 1.2.2.
  • Mass Estimate of Clusters of Galaxies.
  • 1.2.3.
  • Global Energy Budget of Universe.
  • 1.3.
  • Cosmology with Gravitational Lensing.
  • 1.
  • 1.4.
  • Objective of This Thesis
  • INTRODUCTION TO OBSERVATIONAL COSMOLOGY.
  • 1.1.
  • Cosmic Acceleration.
  • 1.1.1.
  • Type Ia Supernovae.
  • 1.1.2.
  • Baryon Acoustic Oscillations.
  • 2.2.
  • Growth of Matter Density.
  • 2.2.1.
  • Evolution of Density Fluctuations.
  • 2.2.2.
  • Linear Perturbation.
  • 2.2.3.
  • Non-linear Perturbation.
  • 2.3.
  • Statistics of Matter Density Perturbation.
  • 2.
  • 2.3.1.
  • Two Point Statistics.
  • 2.3.2.
  • Mass Function and Halo Bias
  • STRUCTURE FORMATION IN THE UNIVERSE.
  • 2.1.
  • The Standard Cosmological Model.
  • 2.1.1.
  • Friedmann Equation.
  • 2.1.2.
  • Cosmological Redshift and Angular-Diameter Distance.
  • 3.3.1.
  • Two Point Correlation Function.
  • 3.3.2.
  • Lensing Mass Reconstruction.
  • 3.3.3.
  • Minkowski Functionals.
  • 3.4.
  • Numerical Simulation of Weak Lensing
  • 3.
  • WEAK GRAVITATIONAL LENSING.
  • 3.1.
  • Basic Equation.
  • 3.2.
  • Observable.
  • 3.3.
  • Statistics.
  • 4.1.3.
  • Bias Due to Masking Effect.
  • 4.1.4.
  • Impact of Masking on Cosmological Parameter Estimation.
  • 4.1.5.
  • Application to Subaru Suprime-Cam Data.
  • 4.2.
  • Statistical and Systematic Error of Minkowski Functionals.
  • 4.2.1.
  • Mock Weak Lensing Catalogs.
  • 4.
  • 4.2.2.
  • Realistic Forecast of Cosmological Constraints.
  • 4.2.3.
  • Possible Systematics.
  • 4.3.
  • Application to CFHTLenS.
  • 4.3.1.
  • Data Sets.
  • 4.3.2.
  • Likelihood Analysis of Lensing MFs.
  • WEAK LENSING MORPHOLOGICAL ANALYSIS.
  • 4.3.3.
  • Breaking Degeneracies
  • 4.1.
  • Impact of Masked Region.
  • 4.1.1.
  • Estimation of Lensing MFs from Cosmic Shear Data.
  • 4.1.2.
  • Data.
  • 5.2.
  • Extragalactic Gamma-Ray Background.
  • 5.2.1.
  • Data.
  • 5.3.
  • Cross Correlation of Extragalactic Gamma-Ray Background and Cosmic Shear.
  • 5.3.1.
  • Theoretical Model.
  • 5.3.2.
  • Cross-Correlation Estimator and Covariance.
  • 5.
  • 5.4.
  • Application to Real Data Sets.
  • 5.4.1.
  • Analysis.
  • 5.4.2.
  • Result.
  • 5.5.
  • Constraint and Forecast.
  • 5.5.1.
  • DM Annihilation Constraint.
  • CROSS CORRELATION WITH DARK MATTER ANNIHILATION SOURCES.
  • 5.5.2.
  • Future Forecast
  • 5.1.
  • Dark Matter Annihilation.
  • 5.1.1.
  • Relic Density.
  • 5.1.2.
  • Gamma-Ray Intensity.
  • 6.1.3.
  • Future Work.
  • 6.2.
  • Cross-Correlation Analysis of Cosmic Shear and Extragalactic Gamma-Ray Background.
  • 6.2.1.
  • Future Work
  • 6.
  • SUMMARY AND CONCLUSION.
  • 6.1.
  • Lensing Minkowski Functionals.
  • 6.1.1.
  • Subaru Suprime-Cam.
  • 6.1.2.
  • Canada-France-Hawaii Telescope Lensing Survey.
  • Curriculum Vitae
  • Appendix A.
  • Effect of Masks on Variance of Smoothed Convergence Field
  • Appendix B.
  • Effect of Source Redshift Clustering on Variance of Smoothed Convergence Field
  • Appendix C.
  • Estimating the Minkowski Functionals Covariance Matrix
  • Appendix D.
  • Effect of Dark Matter Halo Profile Uncertainties on Cross-Correlation Signals
Dimensions
unknown
Extent
1 online resource (xi, 136 pages)
File format
multiple file formats
Form of item
online
Isbn
9789812877963
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-981-287-796-3
Other physical details
illustrations (chiefly color).
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (OCoLC)932171538
  • (OCoLC)ocn932171538
Label
Probing Cosmic Dark Matter and Dark Energy with Weak Gravitational Lensing Statistics, Masato Shirasaki
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-981-287-796-3
Publication
Copyright
Note
"Doctoral Thesis accepted by The University of Tokyo, Tokyo, Japan."
Antecedent source
mixed
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • 1.2.
  • Astrophysical Evidence of Dark Matter.
  • 1.2.1.
  • Rotation Curves of Galaxies.
  • 1.2.2.
  • Mass Estimate of Clusters of Galaxies.
  • 1.2.3.
  • Global Energy Budget of Universe.
  • 1.3.
  • Cosmology with Gravitational Lensing.
  • 1.
  • 1.4.
  • Objective of This Thesis
  • INTRODUCTION TO OBSERVATIONAL COSMOLOGY.
  • 1.1.
  • Cosmic Acceleration.
  • 1.1.1.
  • Type Ia Supernovae.
  • 1.1.2.
  • Baryon Acoustic Oscillations.
  • 2.2.
  • Growth of Matter Density.
  • 2.2.1.
  • Evolution of Density Fluctuations.
  • 2.2.2.
  • Linear Perturbation.
  • 2.2.3.
  • Non-linear Perturbation.
  • 2.3.
  • Statistics of Matter Density Perturbation.
  • 2.
  • 2.3.1.
  • Two Point Statistics.
  • 2.3.2.
  • Mass Function and Halo Bias
  • STRUCTURE FORMATION IN THE UNIVERSE.
  • 2.1.
  • The Standard Cosmological Model.
  • 2.1.1.
  • Friedmann Equation.
  • 2.1.2.
  • Cosmological Redshift and Angular-Diameter Distance.
  • 3.3.1.
  • Two Point Correlation Function.
  • 3.3.2.
  • Lensing Mass Reconstruction.
  • 3.3.3.
  • Minkowski Functionals.
  • 3.4.
  • Numerical Simulation of Weak Lensing
  • 3.
  • WEAK GRAVITATIONAL LENSING.
  • 3.1.
  • Basic Equation.
  • 3.2.
  • Observable.
  • 3.3.
  • Statistics.
  • 4.1.3.
  • Bias Due to Masking Effect.
  • 4.1.4.
  • Impact of Masking on Cosmological Parameter Estimation.
  • 4.1.5.
  • Application to Subaru Suprime-Cam Data.
  • 4.2.
  • Statistical and Systematic Error of Minkowski Functionals.
  • 4.2.1.
  • Mock Weak Lensing Catalogs.
  • 4.
  • 4.2.2.
  • Realistic Forecast of Cosmological Constraints.
  • 4.2.3.
  • Possible Systematics.
  • 4.3.
  • Application to CFHTLenS.
  • 4.3.1.
  • Data Sets.
  • 4.3.2.
  • Likelihood Analysis of Lensing MFs.
  • WEAK LENSING MORPHOLOGICAL ANALYSIS.
  • 4.3.3.
  • Breaking Degeneracies
  • 4.1.
  • Impact of Masked Region.
  • 4.1.1.
  • Estimation of Lensing MFs from Cosmic Shear Data.
  • 4.1.2.
  • Data.
  • 5.2.
  • Extragalactic Gamma-Ray Background.
  • 5.2.1.
  • Data.
  • 5.3.
  • Cross Correlation of Extragalactic Gamma-Ray Background and Cosmic Shear.
  • 5.3.1.
  • Theoretical Model.
  • 5.3.2.
  • Cross-Correlation Estimator and Covariance.
  • 5.
  • 5.4.
  • Application to Real Data Sets.
  • 5.4.1.
  • Analysis.
  • 5.4.2.
  • Result.
  • 5.5.
  • Constraint and Forecast.
  • 5.5.1.
  • DM Annihilation Constraint.
  • CROSS CORRELATION WITH DARK MATTER ANNIHILATION SOURCES.
  • 5.5.2.
  • Future Forecast
  • 5.1.
  • Dark Matter Annihilation.
  • 5.1.1.
  • Relic Density.
  • 5.1.2.
  • Gamma-Ray Intensity.
  • 6.1.3.
  • Future Work.
  • 6.2.
  • Cross-Correlation Analysis of Cosmic Shear and Extragalactic Gamma-Ray Background.
  • 6.2.1.
  • Future Work
  • 6.
  • SUMMARY AND CONCLUSION.
  • 6.1.
  • Lensing Minkowski Functionals.
  • 6.1.1.
  • Subaru Suprime-Cam.
  • 6.1.2.
  • Canada-France-Hawaii Telescope Lensing Survey.
  • Curriculum Vitae
  • Appendix A.
  • Effect of Masks on Variance of Smoothed Convergence Field
  • Appendix B.
  • Effect of Source Redshift Clustering on Variance of Smoothed Convergence Field
  • Appendix C.
  • Estimating the Minkowski Functionals Covariance Matrix
  • Appendix D.
  • Effect of Dark Matter Halo Profile Uncertainties on Cross-Correlation Signals
Dimensions
unknown
Extent
1 online resource (xi, 136 pages)
File format
multiple file formats
Form of item
online
Isbn
9789812877963
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-981-287-796-3
Other physical details
illustrations (chiefly color).
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (OCoLC)932171538
  • (OCoLC)ocn932171538

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