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Traditional weak-lensing mass reconstruction techniques suffer from various artifacts, including noise amplification and the mass-sheet degeneracy. In Hong et al. (2021), we demonstrated that many of these pitfalls of traditional mass…

星系天体物理 · 物理学 2025-02-27 Sangjun Cha , M. James Jee , Sungwook E. Hong , Sangnam Park , Dongsu Bak , Taehwan kim

Pre-trained vision foundation models (VFMs) provide strong semantic representations, yet their patch-level features are inherently coarse, limiting their effectiveness on tasks requiring fine-grained localization, dense prediction, and…

计算机视觉与模式识别 · 计算机科学 2026-05-21 Wentong Li , Zhiyuan Qi , Zichen Zhao , Kai Zhang , Lei Zhang

Motion artifacts are a pervasive problem in MRI, leading to misdiagnosis or mischaracterization in population-level imaging studies. Current retrospective rigid intra-slice motion correction techniques jointly optimize estimates of the…

图像与视频处理 · 电气工程与系统科学 2023-11-17 Nalini M. Singh , Neel Dey , Malte Hoffmann , Bruce Fischl , Elfar Adalsteinsson , Robert Frost , Adrian V. Dalca , Polina Golland

We present an alternative, Bayesian method for large-scale reconstruction from observed peculiar velocity data. The method stresses a rigorous treatment of the random errors and it allows extrapolation into poorly sampled regions in real…

天体物理学 · 物理学 2009-10-31 Saleem Zaroubi , Yehuda Hoffman , Avishai Dekel

Gravitational lensing is potentially able to observe mass-selected halos, and to measure the projected cluster mass function. An optimal mass-selection requires a quantitative understanding of the noise behavior in mass maps. This paper is…

天体物理学 · 物理学 2015-06-24 L. Van Waerbeke

The Minkowski tensors (MTs) can be used to probe anisotropic signals in a field, and are well suited for measuring the redshift space distortion (RSD) signal in large scale structure catalogs. We consider how the linear RSD signal can be…

宇宙学与河外天体物理 · 物理学 2023-01-25 Stephen Appleby , Joby P. Kochappan , Pravabati Chingangbam , Changbom Park

We investigate the environment and line of sight of the H0LiCOW lens B1608+656 using Subaru Suprime-Cam and the Hubble Space Telescope (HST) to perform a weak lensing analysis. We compare three different methods to reconstruct the mass map…

Weak-lensing peak counts provide a straightforward way to constrain cosmology by linking local maxima of the lensing signal to the mass function. Recent applications to data have already been numerous and fruitful. However, the importance…

宇宙学与河外天体物理 · 物理学 2018-06-13 Chieh-An Lin , Martin Kilbinger

Imaging distributions of radioactive sources plays a substantial role in nuclear medicine as well as in monitoring nuclear waste and its deposit. Coded Aperture Imaging has been proposed as an alternative to parallel or pinhole collimators,…

医学物理 · 物理学 2023-01-12 T. Meißner , V. Rozhkov , J. Hesser , W. Nahm , N. Loew

Weak gravitational lensing induces flux dependent fluctuations in the observed galaxy number density distribution. This cosmic magnification (magnification bias) effect in principle enables lensing reconstruction alternative to cosmic shear…

宇宙学与河外天体物理 · 物理学 2023-12-04 Ruijie Ma , Pengjie Zhang , Yu Yu , Jian Qin

The map-making step of Cosmic Microwave Background data analysis involves linear inversion problems which cannot be performed by a brute force approach for the large timelines of today. We present in this article optimal vector-only…

天体物理学 · 物理学 2009-11-07 Xavier Dupac , Martin Giard

Gravitational light deflection can distort the images of distant sources by its tidal effects. The population of faint blue galaxies is at sufficiently high redshift so that their images are distorted near foreground clusters, with giant…

天体物理学 · 物理学 2007-05-23 Stella Seitz , Peter Schneider

We present an efficient implementation of Wiener filtering of real-space linear field and optimal quadratic estimator of its power spectrum Band-powers. We first recast the field reconstruction into an optimization problem, which we solve…

宇宙学与河外天体物理 · 物理学 2019-10-16 Benjamin Horowitz , Uros Seljak , Grigor Aslanyan

Using single-task deep learning methods to reconstruct Magnetic Resonance Imaging (MRI) data acquired with different imaging sequences is inherently challenging. The trained deep learning model typically lacks generalizability, and the…

图像与视频处理 · 电气工程与系统科学 2024-04-23 Wanyu Bian , Albert Jang , Fang Liu

This paper presents a new method for the reconstruction of weak lensing mass maps. It uses the multiscale entropy concept, which is based on wavelets, and the False Discovery Rate which allows us to derive robust detection levels in wavelet…

天体物理学 · 物理学 2009-11-10 Jean-Luc Starck , Sandrine Pires , Alexandre Refregier

Cosmological weak lensing by the large scale structure of the Universe, cosmic shear, is coming of age as a powerful probe of the parameters describing the cosmological model and matter power spectrum. It complements CMB studies, by…

天体物理学 · 物理学 2009-11-10 Patrick Simon , Lindsay J. King , Peter Schneider

High precision cosmological distance measurements towards individual objects such as time delay gravitational lenses or type Ia supernovae are affected by weak lensing perturbations by galaxies and groups along the line of sight. In time…

We study the impact of catastrophic errors occurring in the photometric redshifts of galaxies on cosmological parameter estimates with cosmic shear tomography. We consider a fiducial survey with 9-filter set and perform photo-z measurement…

天体物理学 · 物理学 2014-11-18 L. Sun , Z. -H. Fan , C. Tao , J. -P. Kneib , S. Jouvel , A. Tilquin

We discuss the synergy of the cosmic shear and CMB lensing experiments to simultaneously constrain the neutrino mass and dark energy properties. Taking fully account of the CMB lensing, cosmic shear, CMB anisotropies, and their cross…

宇宙学与河外天体物理 · 物理学 2023-11-21 Toshiya Namikawa , Shun Saito , Atsushi Taruya

Multi-echo magnetic resonance (MR) images are acquired by changing the echo times (for T2 weighted) or relaxation times (for T1 weighted) of scans. The resulting (multi-echo) images are usually used for quantitative MR imaging. Acquiring MR…

机器学习 · 计算机科学 2019-12-11 Vanika Singhal , Angshul Majumdar