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We present an 8 sigma detection of cosmic magnification measured by the variation of quasar density due to gravitational lensing by foreground large scale structure. To make this measurement we used 3800 square degrees of photometric…

We measure the cosmic shear power spectrum on large angular scales by cross-correlating the shapes of ~9 million galaxies measured in the optical SDSS survey with the shapes of ~2.7x10^5 radio galaxies measured by the overlapping VLA-FIRST…

宇宙学与河外天体物理 · 物理学 2016-01-27 Constantinos Demetroullas , Michael L. Brown

We describe the application of the `shapelet' linear decomposition of galaxy images to multi-wavelength morphological classification using the $u,g,r,i,$ and $z$-band images of 1519 galaxies from the Sloan Digital Sky Survey. We utilize…

天体物理学 · 物理学 2009-11-10 B. C. Kelly , T. A. McKay

We estimate the distribution of apparent axis ratios $q$ for galaxies in the Sloan Digital Sky Survey (SDSS) Early Data Release. We divide the galaxies by profile type (de Vaucouleurs versus exponential) as well as by color ($u^* - r^* \leq…

天体物理学 · 物理学 2007-05-23 S. M. Khairul Alam , Barbara S. Ryden

The magnification of galaxies in modern galaxy surveys induces additional correlations in the cosmic shear, galaxy-galaxy lensing and clustering observables used in modern lensing "3x2pt" analyses, due to sample selection. In this paper, we…

宇宙学与河外天体物理 · 物理学 2022-07-06 Christopher A. J. Duncan , Joachim Harnois-Déraps , Lance Miller

We present a simultaneous analysis of galaxy cluster scaling relations between weak-lensing mass and multiple cluster observables, across a wide range of wavelengths, that probe both gas and stellar content. Our new hierarchical Bayesian…

Gaussian cosmological models, typified by the inflationary cold dark matter models, and non-Gaussian topological defect based cosmological models, such as the texture seeded model, differ in the origin of large-scale cosmic structures. In…

天体物理学 · 物理学 2009-10-30 Renyue Cen

The large-scale clustering of galaxies can serve as a probe of primordial non-Gaussianity in the Universe competitive with the anisotropies of the CMB. Here, we present improved theoretical predictions which include an important, previously…

宇宙学与河外天体物理 · 物理学 2015-03-19 Vincent Desjacques , Donghui Jeong , Fabian Schmidt

A large fraction of the information collected by cosmological surveys is simply discarded to avoid lengthscales which are difficult to model theoretically. We introduce a new technique which enables the extraction of useful information from…

宇宙学与河外天体物理 · 物理学 2013-10-08 Fergus Simpson , J. Berian James , Alan F. Heavens , Catherine Heymans

Upcoming X-ray surveys like eROSITA require precise calibration between X-ray observables and mass down to the low mass regime to set tight constraints on the fundamental cosmological parameters. Since an individual mass measurement is only…

宇宙学与河外天体物理 · 物理学 2015-01-14 Lorenzo Lovisari , Thomas Reiprich , Gerrit Schellenberger

The effect of curvature on the results of fractal analyses of the galaxy distribution is investigated. We show that, if the universe satisfies the criteria of a wide class of parabolic homogeneous models, the observers measuring the fractal…

天体物理学 · 物理学 2009-10-31 Marie-Noëlle Célérier , Reuben Thieberger

We build upon previous analytical treatments of scalar perturbations in curved inflationary universes to obtain analytical templates for the primordial tensor power spectrum in models with non-zero primordial spatial curvature. These…

宇宙学与河外天体物理 · 物理学 2026-01-27 Ezra Msolla , Ayngaran Thavanesan

We consider scalar perturbations of energy--density for a class of cosmological models where an early phase of accelerated expansion evolves, without any fine--tuning for graceful exit, towards the standard Friedman eras of observed…

广义相对论与量子宇宙学 · 物理学 2007-05-23 S. Capozziello , G. Lambiase , G. Scarpetta

The principles of measuring the shapes of galaxies by a model-fitting approach are discussed in the context of shape-measurement for surveys of weak gravitational lensing. It is argued that such an approach should be optimal, allowing…

天体物理学 · 物理学 2009-11-13 L. Miller , T. D. Kitching , C. Heymans , A. F. Heavens , L. Van Waerbeke

Well-calibrated scaling relations between the observable properties and the total masses of clusters of galaxies are important for understanding the physical processes that give rise to these relations. They are also a critical ingredient…

宇宙学与河外天体物理 · 物理学 2015-06-15 S. Giodini , L. Lovisari , E. Pointecouteau , S. Ettori , T. H. Reiprich , H. Hoekstra

Non-Gaussianities of dynamical origin are disentangled from primordial ones using the formalism of large deviation statistics with spherical collapse dynamics. This is achieved by relying on accurate analytical predictions for the one-point…

宇宙学与河外天体物理 · 物理学 2017-12-27 Cora Uhlemann , Enrico Pajer , Christophe Pichon , Takahiro Nishimichi , Sandrine Codis , Francis Bernardeau

The first non-trivial cumulant correlator of the galaxy density field $Q_{21}$ is examined from the point of view of biasing. It is shown that to leading order it depends on two biasing parameters $b$, and $b_2$, and on $q_{21}$, the…

天体物理学 · 物理学 2009-10-30 Istvan Szapudi

The joint analysis of galaxy clustering and galaxy-shear cross-correlations (galaxy-galaxy lensing) in imaging surveys constitutes one of the main avenues to obtain cosmological information. Analyses from Stage III surveys have assumed…

宇宙学与河外天体物理 · 物理学 2023-10-03 Shivam Pandey , Carles Sánchez , Bhuvnesh Jain , The LSST Dark Energy Science Collaboration

We calculated spatial correlation functions of galaxies, $\xi(r)$, structure functions, $g(r)=1 +\xi(r)$, gradient functions, $\gamma(r)= d \log g(r)/ d \log r$, and fractal dimension functions, $D(r)= 3+\gamma(r)$, using dark matter…

宇宙学与河外天体物理 · 物理学 2020-08-12 J. Einasto , G. Hütsi , T. Kuutma , M. Einasto

Harnessing the local topography of the loss landscape is a central challenge in advanced optimization tasks. By accounting for the effect of potential parameter changes, we can alter the model more efficiently. Contrary to standard…

机器学习 · 计算机科学 2024-11-27 Jed A. Duersch , Tommie A. Catanach , Alexander Safonov , Jeremy Wendt