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Cosmological large-scale structure analyses based on two-point correlation functions often assume a Gaussian likelihood function with a fixed covariance matrix. We study the impact on cosmological parameter estimation of ignoring the…

宇宙学与河外天体物理 · 物理学 2019-03-21 Darsh Kodwani , David Alonso , Pedro Ferreira

We develop a novel statistical strong lensing approach to probe the cosmological parameters by exploiting multiple redshift image systems behind galaxies or galaxy clusters. The method relies on free-form mass inversion of strong lenses and…

宇宙学与河外天体物理 · 物理学 2015-06-17 M. Lubini , M. Sereno , J. Coles , Ph. Jetzer , P. Saha

Low redshift surveys of galaxy peculiar velocities provide a wealth of cosmological information. We revisit the idea of extracting this information by directly measuring the redshift-space momentum power spectrum from such surveys. We…

宇宙学与河外天体物理 · 物理学 2019-06-19 Cullan Howlett

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

We forecast the future constraints on scale-dependent parametrizations of galaxy bias and their impact on the estimate of cosmological parameters from the power spectrum of galaxies measured in a spectroscopic redshift survey. For the…

宇宙学与河外天体物理 · 物理学 2017-01-18 L. Amendola , E. Menegoni , C. Di Porto , M. Corsi , E. Branchini

The detection of electromagnetic counterparts to gravitational waves has great promise for the investigation of many scientific questions. It has long been hoped that in addition to providing extra, non-gravitational information about the…

高能天体物理现象 · 物理学 2017-01-18 Chris Pankow , Laura Sampson , Leah Perri , Eve Chase , Scott Coughlin , Michael Zevin , Vassiliki Kalogera

We propose a general formalism for galaxy biasing and apply it to methods for measuring cosmological parameters, such as regression of light versus mass, the analysis of redshift distortions, measures involving skewness and the cosmic…

天体物理学 · 物理学 2009-10-30 Avishai Dekel , Ofer Lahav

One important source of systematics in galaxy redshift surveys comes from the estimation of the galaxy window function. Up until now, the impact of the uncertainty in estimating the galaxy window function on parameter inference has not been…

宇宙学与河外天体物理 · 物理学 2023-08-02 Tanveer Karim , Mehdi Rezaie , Sukhdeep Singh , Daniel Eisenstein

We present methods to rigorously extract parameter combinations that are constrained by data from posterior distributions. The standard approach uses linear methods that apply to Gaussian distributions. We show the limitations of the linear…

宇宙学与河外天体物理 · 物理学 2022-04-06 Tara Dacunha , Marco Raveri , Minsu Park , Cyrille Doux , Bhuvnesh Jain

We study how well the Gaussian approximation is valid for computing the covariance matrices of the convergence power and bispectrum in weak gravitational lensing analyses. We focus on its impact on the cosmological parameter estimations by…

宇宙学与河外天体物理 · 物理学 2015-06-12 Masanori Sato , Takahiro Nishimichi

Strong lensing provides popular techniques to investigate the mass distribution of intermediate redshift galaxies, testing galaxy evolution and formation scenarios. It especially probes the background cosmic expansion, hence constraining…

宇宙学与河外天体物理 · 物理学 2015-11-18 Vincenzo F. Cardone , Ester Piedipalumbo , Paolo Scudellaro

Focusing on the well motivated aperture mass statistics $\Map$, we study the possibility of constraining cosmological parameters using future space based SNAP class weak lensing missions. Using completely analytical results we construct the…

天体物理学 · 物理学 2007-05-23 Dipak Munshi , Patrick Valageas

The cosmological model consisting of a nonlinear magnetic field obeying the Lagrangian L= \gamma F^{\alpha}, F being the electromagnetic invariant, coupled to a Robertson-Walker geometry is tested with observational data of Type Ia…

宇宙学与河外天体物理 · 物理学 2014-06-12 Ariadna Montiel , Nora Bretón , Vincenzo Salzano

We present a path-integral likelihood formalism that extends parameterized likelihood analyses to include continuous functions. The method finds the maximum likelihood point in function-space, and marginalizes over all possible functions,…

宇宙学与河外天体物理 · 物理学 2015-05-18 T. D. Kitching , A. N. Taylor

We propose a strategy to measure the dark matter power spectrum using minimal assumptions about the galaxy distribution and the galaxy-dark matter cross-correlations. We argue that on large scales the central limit theorem generically…

天体物理学 · 物理学 2009-10-30 Ue-Li Pen

Recently, several studies proposed non-linear transformations, such as a logarithmic or Gaussianization transformation, as efficient tools to recapture information about the (Gaussian) initial conditions. During non-linear evolution, part…

宇宙学与河外天体物理 · 物理学 2015-06-16 Julien Carron , Istvan Szapudi

Optimal extraction of the non-Gaussian information encoded in the Large-Scale Structure (LSS) of the universe lies at the forefront of modern precision cosmology. We propose achieving this task through the use of the Wavelet Scattering…

宇宙学与河外天体物理 · 物理学 2022-05-30 Georgios Valogiannis , Cora Dvorkin

We study the impact of the cosmological parameters uncertainties on the measurements of primordial non-Gaussianity through the large-scale non-Gaussian halo bias effect. While this is not expected to be an issue for the standard LCDM model,…

宇宙学与河外天体物理 · 物理学 2015-03-13 Carmelita Carbone , Olga Mena , Licia Verde

Major advances in the observation and theory of cosmic microwave background anisotropies have opened up a new era in cosmology. This has encouraged the hope that the fundamental parameters of cosmology will be determined to high accuracy in…

天体物理学 · 物理学 2015-06-24 Roy Maartens

We study the sample variance of the matter power spectrum for the standard Lambda Cold Dark Matter universe. We use a total of 5000 cosmological N-body simulations to study in detail the distribution of best-fit cosmological parameters and…