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The Lyman-$\alpha$ forest opacity fluctuations observed from high-redshift quasar spectra have been proven to be extremely successful in order to probe the late phase of the reionization epoch. For ideal modeling of these opacity…

宇宙学与河外天体物理 · 物理学 2026-01-28 Barun Maity , Frederick Davies , Prakash Gaikwad

We cross-correlate the positions of damped Lyman-$\alpha$ systems (DLAs) and their parent quasar catalog with a convergence map derived from the Planck cosmic microwave background (CMB) temperature data. We make consistent measurements of…

宇宙学与河外天体物理 · 物理学 2020-08-27 David Alonso , Joseph Colosimo , Andreu Font-Ribera , Anže Slosar

Very recently a new inversion method has been developped to analyze the intergalactic medium seen in absorption in quasar spectra (the so-called Lyman-alpha forest). This method is applied to recover the temperature of the gas and the…

We develop the halo model of large-scale structure as an accurate tool for probing primordial non-Gaussianity. In this study we focus on understanding the matter clustering at several redshifts. The primordial non-Gaussianity is modeled as…

宇宙学与河外天体物理 · 物理学 2011-08-09 Robert E. Smith , Vincent Desjacques , Laura Marian

Scale transformations have played an extremely successful role in studies of cosmological large-scale structure by relating the non-linear spectrum of cosmological density fluctuations to the linear primordial power at longer wavelengths.…

天体物理学 · 物理学 2009-11-13 Jun Pan , Peter Coles , Istvan Szapudi

This paper presents a novel Bayesian strategy for the estimation of smooth signals corrupted by Gaussian noise. The method assumes a smooth evolution of a succession of continuous signals that can have a numerical or an analytical…

应用统计 · 统计学 2016-02-12 Abderrahim Halimi , Gerald S. Buller , Steve McLaughlin , Paul Honeine

The Lyman-alpha forest at z >~ 5.5 shows strong scatter in the mean transmission even when smoothed over very large spatial scales, >~ 50 Mpc/h. This has been interpreted as a signature of strongly fluctuating radiation fields, or patchy…

天体物理学 · 物理学 2009-11-13 Adam Lidz , S. Peng Oh , Steven R. Furlanetto

Natural image statistics exhibit hierarchical dependencies across multiple scales. Representing such prior knowledge in non-factorial latent tree models can boost performance of image denoising, inpainting, deconvolution or reconstruction…

计算机视觉与模式识别 · 计算机科学 2012-07-03 Young Jun Ko , Matthias Seeger

We study the performance of transformer architectures for multivariate time-series forecasting in low-data regimes consisting of only a few years of daily observations. Using synthetically generated processes with known temporal and…

机器学习 · 计算机科学 2026-02-11 Cyril Garcia , Guillaume Remy

Context. One important step in the statistical analysis of the Ly-alpha forest data is the study of their second order properties. Usually, this is accomplished by means of the two-point correlation function or, alternatively, the…

天体物理学 · 物理学 2009-11-13 R. Vio , V. D'Odorico , H. Stoyan , D. Stoyan

The upcoming WEAVE-QSO survey will target a high density of quasars over a large area, enabling the reconstruction of the 3D density field through Lyman-$\alpha$ tomography over unprecedented volumes smoothed on intermediate scales…

The weak lensing power spectrum carries cosmological information via its dependence on the growth of structure and on geometric factors. Since much of the cosmological information comes from scales affected by nonlinear clustering,…

天体物理学 · 物理学 2010-11-02 Masahiro Takada , Bhuvnesh Jain

Applying a transformation to a non-Gaussian field can enhance the information content of the resulting power spectrum, by reducing the correlations between Fourier modes. In the context of weak gravitational lensing, it has been shown that…

宇宙学与河外天体物理 · 物理学 2015-12-16 Fergus Simpson , Joachim Harnois-Déraps , Catherine Heymans , Raul Jimenez , Benjamin Joachimi , Licia Verde

We address the problem of inferring the three-dimensional matter distribution from a sparse set of one-dimensional quasar absorption spectra of the Lyman-$\alpha$ forest. Using a Bayesian forward modelling approach, we focus on extending…

宇宙学与河外天体物理 · 物理学 2020-10-14 Natalia Porqueres , Oliver Hahn , Jens Jasche , Guilhem Lavaux

The density field reconstruction technique, which was developed to partially reverse the nonlinear degradation of the Baryon Acoustic Oscillation (BAO) feature in the galaxy redshift surveys, has been successful in substantially improving…

宇宙学与河外天体物理 · 物理学 2016-07-27 Hee-Jong Seo , Florian Beutler , Ashley J. Ross , Shun Saito

A 2.5-3 sigma discrepancy has been reported between the baryonic acoustic oscillation peak (BAO) in the Lyman $\alpha$ forest at $z\sim 2.34$ and the best fit Planck $\Lambda$CDM cosmology. To isolate the origin of the tension, we consider…

宇宙学与河外天体物理 · 物理学 2017-05-02 Jarah Evslin

Extremely large opaque troughs in the Lyman-alpha forest have been interpreted as a sign of an extended reionization process below z~6. Such features are impossible to reproduce with simple models of the intergalactic ionizing background…

宇宙学与河外天体物理 · 物理学 2016-04-27 Frederick B. Davies , Steven R. Furlanetto

We discuss the implementation of Bayesian inversion methods in order to recover the properties of the intergalactic medium from observations of the neutral hydrogen Lyman-$\alpha$ absorptions observed in the spectra of high redshift quasars…

天体物理学 · 物理学 2009-11-06 C. Pichon , J. L. Vergely , E. Rollinde , S. Colombi , P. Petitjean

In order to improve the least mean squares (LMS) adaptation algorithm to accommodate the nonlinear transfer function, and to adjust the coefficients of adaptive filter during the actual implement of bias voltage and signal amplitude,…

信号处理 · 电气工程与系统科学 2022-07-26 Zhengyang Zhang

We measure the three-dimensional power spectrum (P3D) of the transmitted flux in the Lyman-a (Ly-a) forest using the complete extended Baryon Oscillation Spectroscopic Survey data release 16 (eBOSS DR16). This sample consists of 205,012…

宇宙学与河外天体物理 · 物理学 2024-09-11 Roger de Belsunce , Oliver H. E. Philcox , Vid Irsic , Patrick McDonald , Julien Guy , Nathalie Palanque-Delabrouille
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