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Statistical Analysis of Random Fields in Cosmology

4–6 Mar 2024
Tsukuba Campus, KEK, Tsukuba, Japan
Asia/Tokyo timezone

Contribution List

25 / 25
29. Registration
04/03/2024, 10:20
1. Opening
04/03/2024, 10:50
28. Peak height distributions of Gaussian random fields and their statistical applications
Dan Cheng
04/03/2024, 11:00

Motivated by computing p-values for multiple testing of local maxima in signal and change point detections, we study the height distribution of local maxima of smooth isotropic Gaussian random fields parameterized on Euclidean space or spheres. The obtained formulae hold in general in the sense that there are no restrictions on the covariance function of the field except for smoothness and...
3. Minkowski functionals for isotropic random fields in the Euclidean space and the sphere
Satoshi Kuriki
04/03/2024, 13:20

We first introduce the expected Minkowski functional (MF) formulas for the excursion sets of a weakly non-Gaussian smooth isotropic random field. Here, the random field is defined on a bounded index set $T$ in the Euclidean space. The MF formulas contain the boundary correction terms unless the MFs of the index set $T$ vanish. In applications in cosmology, only their leading terms proportional...
4. Application of Minkowski functional to high energy physics and deep learning
Mihoko Nojiri
04/03/2024, 14:00
5. Minkowski Tensors in Cosmology
Changbom Park
04/03/2024, 15:00

The tensor Minkowski functionals or Minkowski tensors (MTs) are generalizations of the usual Minkowski Functionals, which are scalar quantities. The MTs are a set of statistics defined as integrals over the boundary of an excursion set, with integrands related to symmetric tensor products of position vectors and normals to the boundary. They provide directional or anisotropy information that...
6. Precision cosmology with big data
Masahiro Takada
04/03/2024, 16:10
7. Weak lensing analysis
Masamune Oguri
04/03/2024, 16:50

I'll describe the basics of weak lensing analysis.
8. Data analysis methods for the Cosmic Microwave Background (CMB) polarization
Yuji Chinone
05/03/2024, 09:30
11. Astronomy and Data Science
Shiro Ikeda
05/03/2024, 10:10

The importance of data science is increasing in various fields, and this trend is also evident in the natural sciences. For the past decade, I have been engaged in research applying data science methods to astronomy. One of the highlights of the work is the imaging of a black hole shadow by the Event Horizon Telescope Collaboration. In the presentation, I will provide an overview of my...
10. Learning from Topology: Cosmological Parameter Inference from the Large-scale Structure
Gary Shiu
05/03/2024, 11:00

A challenge common to different scientific areas is to effectively infer from big, complex, higher-dimensional datasets the underlying theory. Persistent homology is a tool in computational topology developed for recognizing the ``shape” of data. Such topological measures have the advantages that 1) they are stable against experimental noise, 2) they probe multiscale, non-local characteristics...
25. Photo
05/03/2024, 12:00
27. Non-Gaussian Statistics for Non-Gaussian Fields
Jia Liu
05/03/2024, 13:20

I will present our recent results analyzing HSC weak lensing data using non-Gaussian statistics, where 30% improvement in cosmological parameter constraints was achieved. I will also summarize our ongoing effort in preparing for future non-Gaussian statistics analysis with Rubin LSST.
12. Data Scientific Approach to the Large-Scale Structure in the Universe
Tsutomu Takeuchi
05/03/2024, 14:00
13. Exploring the Potential of 3D Scene Reconstruction Techniques in Astronomy
Chiaki Hikage
05/03/2024, 15:00

In recent years, technologies for reconstructing 3D scenes from limited 2D image data, such as Neural Radiance Fields (NeRF) and 3D Gaussian Splatting, have been actively developed. These technologies have gained attention in a wide range of applications, including VR/AR and Simultaneous Localization and Mapping (SLAM). This study explores the potential application of these technologies in the...
14. image based cosmology on the large-scale structure
Atsushi J. Nichizawa
05/03/2024, 16:10

After the great success of the perturbation theory of the large-scale structure, we definitely need more accurate and robust tools to expand the analysis to utilize more and more information embedded in the large-scale structure.
One possible approach which has already got great success is to extent the order of expansion to higher order or to use the interpolation method calibrated based on...
9. 21cm cosmology with machine learning
Hayato Shimabukuro
05/03/2024, 16:50
24. Banquet
05/03/2024, 18:00

https://andryu.owst.jp/
22. Consistency relations of the kurtosis in large scale structure and modified gravity
Sora Yamashita
06/03/2024, 09:30

Skewness and kurtosis parameters are the quantities to probe non-Gaussianities of density fluctuations.
By introducing some spatial derivatives, we can define multiple skewness and kurtosis parameters.
We argue that the consistency relations among observables of the skewness and kurtosis parameters can be derived, particularly focusing on the kurtosis parameters in this talk.
The...
26. Emulators for cosmological inference
Takahiro Nishimichi
06/03/2024, 10:10

Cosmological large-scale structure is a nonlinear stochastic process governed mainly by gravity. Its statistical properties depend on the initial conditions and the energy components that constitute the universe. Therefore, extracting information on these fundamental cosmological problems from observational data is an inverse problem. The computational cost of numerical simulations is a...
18. Interpretable reduced modeling of large-scale pattern dynamics - from materials science to astrophysics -
Yoh-ichi Mototake
06/03/2024, 11:00
20. How much information is left in galaxy clustering beyond the power spectrum?
Kazuyuki Akitsu
06/03/2024, 13:20
21. Field-level inference with differentiable GridSPT
Ken Osato
06/03/2024, 14:00

In galaxy clustering measurements, summary statistics, e.g., 2-pt correlation functions and power spectra, have been widely used to extract cosmological information. These statistics summarise the information of the observed galaxy number density field and theoretical models such as perturbation theory can accurately predict the statistics up to mildly non-linear regime. On the other hand, the...
17. Galaxy shape/alignment statistics as a novel cosmological probe
Atsushi Taruya
06/03/2024, 15:00

Mapping the large-scale structure of the universe with galaxy surveys is one of the main science drivers for cosmology. So far, most of the analysis has been made wth the galaxy positional information, ignoring the individual shapes and orientations. In this talk, we consider the galaxy intrinsic orientation (intrinsic alignment, IA) as a novel probe, and show that the spatial correlation of...
16. Symmetry breaking in the large scale distribution of spin vector of galaxies?
Masanori Iye
06/03/2024, 15:40

We are compiling spin catalogs of galaxies from PanStarrs, SDSS, DES and HSC surveys to make statistical studies to search for any symmetry breaking in the large scale distribution of spin vectors of galaxies. The method and some tentative results of analyses will be reported.
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