Exploration of 3D wavelet scattering transform coefficients for line-intensity mapping measurements

نویسندگان

چکیده

ABSTRACT The wavelet scattering transform (WST) has recently gained attention in the context of large-scale structure studies, being a possible generator summary statistics encapsulating non-Gaussianities beyond reach conventional power spectrum. This work examines three-dimensional solid harmonic WST line-intensity mapping measurement to be undertaken by current and proposed phases CO Mapping Array Project (COMAP). coefficients demonstrate interpretable behaviour noiseless simulations. contribution cosmological z ? 3 signal these is also detectable principle even Pathfinder phase COMAP. Using peak-patch method generate large numbers simulations incorporating observational noise, we numerically estimate covariance matrices show that careful choices hyperparameters rescaled or reduced coefficient sets are both necessary keep covariances well-conditioned. Fisher forecasts ‘shapeless’ set ?-averaged constraining can exceed spectrum alone with similar detection significance. full could improve parameter constraints over combination voxel intensity distribution, showing it uniquely encapsulates shape information about field. However, practical applications urgently require further understanding key contexts like cross-correlations.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Breast abnormalities segmentation using the wavelet transform coefficients aggregation

Introduction: Breast cancer is the most common cancer among women in the world. The automatic detection of masses in digital mammograms is a challenging task and a major step in the development of breast cancer CAD systems. In this study, we introduce a new method for automatic detection of suspicious mass candidate (SMC) regions in a mammogram. Methods: Mammography is widely used for the early...

متن کامل

modal coefficients identification using wavelet transform

identification of damping parameter is usually more complicated and unreliable comparing to mass or stiffness identification in structural dynamics. there are many factors such as intermolecular friction, coulomb friction and viscous damping affecting the damping mechanisms in a structure. therefore it is difficult, and in some cases impossible, to describe the details of damping mechanisms by ...

متن کامل

GPU-based 3D Wavelet Transform

Wide amount of applications like volumetric medical data compression, video watermarking and video coding use the three-dimensional wavelet transform (3D-DWT) in their algorithms. In this work, we present GPU algorithms, based on both global and shared memory, to compute the 3D-DWT transform on both the GTX280 and the GMT540 platforms. The results obtained show that speed-ups of 19.7 and 10.65 ...

متن کامل

Recognition of Human Body Posture from a Cloud of 3D Data Points using Wavelet Transform Coefficients

This paper addresses the problem of recognizing a human body posture from a cloud of 3D points acquired by a Human body scanner. Motivated by finding a representation that embodies a high discrimination power between posture classes, a new type of features is suggested, namely, the wavelet transform coefficients (WTC) of the 3D data points distribution projected on the space of the spherical ha...

متن کامل

Wavelet-based image compression by adaptive scanning of transform coefficients

An image compression algorithm exploiting the interband and intraband dependencies in a multiresolution decomposition structure is introduced. The transform coefficients, other than those which belong to the DC band, are adaptively scanned into two different 1-D arrays. These arrays are generated by using the observed statistical behavior of wavelet transform coefficients, in an effort to maxim...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Monthly Notices of the Royal Astronomical Society

سال: 2022

ISSN: ['0035-8711', '1365-8711', '1365-2966']

DOI: https://doi.org/10.1093/mnras/stac2662