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Contamination from stars in the galaxy samples of large-scale structure surveys can bias cosmological constraints if not tightly controlled. This is especially true for lens samples used for galaxy clustering and galaxy-galaxy lensing…

宇宙学与河外天体物理 · 物理学 2026-05-07 Noah Weaverdyck , David Schlegel , Anand Raichoor , Ignacio Sevilla-Noarbe

In studies of exoplanet atmospheres using transmission spectroscopy, Bayesian retrievals are the most popular form of analysis. In these procedures it is common to adopt a Gaussian likelihood. However, this implicitly assumes that the upper…

地球与行星天体物理 · 物理学 2025-07-28 Jack J. Davey , Kai Hou Yip , Quentin Changeat , Ingo P. Waldmann

We use semi-analytical modelling of galaxy formation to study the redshift evolution of the galaxy merger fractions and merger ratesin Lambda CDM and quintessence (QCDM) cosmologies, their dependence on physical parameters as the…

天体物理学 · 物理学 2009-11-06 S. Khochfar , A. Burkert

We present a concept study on weak lensing map reconstruction through the cosmic magnification effect in galaxy number density distribution. We propose a minimal variance linear estimator to minimize both the dominant systematical and…

宇宙学与河外天体物理 · 物理学 2012-02-16 Xinjuan Yang , Pengjie Zhang

We present a new method for measuring the projected mass distributions of galaxy clusters. The gravitational amplification is measured by comparing the joint distribution in redshift and magnitude of galaxies behind the cluster with that of…

天体物理学 · 物理学 2009-10-22 T. J. Broadhurst , A. N. Taylor , J. A. Peacock

Recently, a number of methods have emerged to detect galaxy clusters solely through their weak lensing signal. Using the recently-introduced wavelet multi-scale detection method, we focus here on the potential for the use of tomographic…

宇宙学与河外天体物理 · 物理学 2026-03-12 L. Chappuis , S. Pires , G. W. Pratt , G. Leroy , A. Daurelle , C. Giocoli , C. Carbone

We use a combination of deep, high angular resolution imaging data from the CDFS (HST/ACS GOODS survey) and ground based near-IR $K_s$ images to derive the evolution of the galaxy major merger rate in the redshift range $0.2 \leq z \leq…

天体物理学 · 物理学 2009-11-13 A. Rawat , Francois Hammer , Ajit K. Kembhavi , Hector Flores

We have developed a new geometrical method for identifying and reconstructing a homogeneous and highly complete set of galaxy groups in the next generation of deep, flux-limited redshift surveys. Our method combines information from the…

天体物理学 · 物理学 2009-11-07 Christian Marinoni , Marc Davis , Jeffrey A. Newman , Alison L. Coil

We investigate to which accuracy it is possible to recover the real-space two-point correlation function of galaxy clusters from cluster catalogues based on photometric redshifts, and test our ability to measure the redshift and mass…

宇宙学与河外天体物理 · 物理学 2017-03-29 Srivatsan Sridhar , Sophie Maurogordato , Christophe Benoist , Alberto Cappi , Federico Marulli

Our goal is to estimate empirically, for the first time, the cosmic variance that affects merger fraction studies based on close pairs. We compute the merger fraction from photometric redshift close pairs with 10h^-1 kpc <= rp <= 50h^-1 kpc…

The determination of the galaxy luminosity function is an active and fundamental field in observational cosmology. In this paper we propose a cost effective way of measuring galaxy luminosity functions at faint magnitudes. Our technique…

天体物理学 · 物理学 2009-10-28 M. U. SubbaRao , A. J. Connolly , A. S. Szalay , D. C. Koo

Initial principles of a method of analysis of the luminous matter spatial distribution with sizes about thousands Mpc are presented. The method is based on an analysis of the photometric redshift distribution N(z) in the deep fields with…

宇宙学与河外天体物理 · 物理学 2015-05-18 Nikita Nabokov , Yuri Baryshev

An iterative algorithm for reconstructing the photon distribution from the random phase homodyne statistics is discussed. This method, derived from the maximum-likelihood approach, yields a positive definite estimate for the photon…

量子物理 · 物理学 2007-05-23 Konrad Banaszek

It is still a challenge to assess the merger fraction of galaxies at different cosmic epochs in order to probe the evolution of their mass assembly. Using the Illustris cosmological simulations, we investigate the relation between the…

Motivated by the limitations encountered with the commonly used direct reconstruction techniques of producing mass maps, we have developed a multi-resolution maximum-likelihood reconstruction method for producing two dimensional mass maps…

天体物理学 · 物理学 2009-11-13 H. Khiabanian , I. P. Dell'Antonio

We propose the use of robust, Bayesian methods for estimating extragalactic distance errors in multi-measurement catalogs. We seek to improve upon the more commonly used frequentist propagation-of-error methods, as they fail to explain both…

天体物理仪器与方法 · 物理学 2019-03-13 Germán Chaparro Molano , Juan Carlos Cuervo , Oscar Alberto Restrepo Gaitán , Sergio Torres Arzayús

A composite likelihood is a non-genuine likelihood function that allows to make inference on limited aspects of a model, such as marginal or conditional distributions. Composite likelihoods are not proper likelihoods and need therefore…

统计方法学 · 统计学 2021-04-06 Michele Lambardi di San Miniato , Nicola Sartori

Reconstructing the matter density field from galaxy counts is a problem frequently addressed in current literature. Two main sources of error are shot noise from galaxy counts and insufficient knowledge of the correct galaxy position caused…

宇宙学与河外天体物理 · 物理学 2015-05-18 Cornelius Weig , Torsten Ensslin

The two-point correlation function of the galaxy distribution is a key cosmological observable that allows us to constrain the dynamical and geometrical state of our Universe. To measure the correlation function we need to know both the…

Since the volume accessible to galaxy surveys is fundamentally limited, it is extremely important to analyse available data in the most optimal fashion. One way of enhancing the cosmological information extracted from the clustering of…

宇宙学与河外天体物理 · 物理学 2016-09-20 David W. Pearson , Lado Samushia , Praful Gagrani