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Intrinsic alignments (IA) of galaxies, i.e. correlations of galaxy shapes with each other or with the density field, are a major astrophysical source of contamination for weak lensing surveys. We present the results of IA measurements of…

宇宙学与河外天体物理 · 物理学 2015-05-20 Sukhdeep Singh , Rachel Mandelbaum , Surhud More

We extend current models of the halo occupation distribution (HOD) to include a flexible, empirical framework for the forward modeling of the intrinsic alignment (IA) of galaxies. A primary goal of this work is to produce mock galaxy…

Without mitigation, the intrinsic alignment (IA) of galaxies poses a significant threat to achieving unbiased cosmological parameter constraints from precision weak lensing surveys. Here, we apply for the first time to data a method to…

宇宙学与河外天体物理 · 物理学 2024-01-24 Charlie MacMahon-Gellér , C. Danielle Leonard

Galaxy intrinsic alignments (IA) are a critical uncertainty for current and future weak lensing measurements. We describe a perturbative expansion of IA, analogous to the treatment of galaxy biasing. From an astrophysical perspective, this…

宇宙学与河外天体物理 · 物理学 2019-11-13 Jonathan Blazek , Niall MacCrann , M. A. Troxel , Xiao Fang

We present a new method for measuring the scale dependence of the intrinsic alignment (IA) contamination to the galaxy-galaxy lensing signal, which takes advantage of multiple shear estimation methods applied to the same source galaxy…

宇宙学与河外天体物理 · 物理学 2018-07-01 C. Danielle Leonard , Rachel Mandelbaum

Intrinsic alignments (IAs) of galaxies/halos observed via galaxy imaging survey, combined with redshift information, offer a novel probe of cosmology as a tracer of the tidal force field of a large-scale structure. In this paper, we present…

宇宙学与河外天体物理 · 物理学 2025-06-03 Atsushi Taruya , Toshiki Kurita , Teppei Okumura

We develop an analytic model for galaxy intrinsic alignments (IA) based on the theory of tidal alignment. We calculate all relevant nonlinear corrections at one-loop order, including effects from nonlinear density evolution, galaxy biasing,…

宇宙学与河外天体物理 · 物理学 2015-08-19 Jonathan Blazek , Zvonimir Vlah , Uroš Seljak

We present a new method that simultaneously solves for cosmology and galaxy bias on non-linear scales. The method uses the halo model to analytically describe the (non-linear) matter distribution, and the conditional luminosity function…

宇宙学与河外天体物理 · 物理学 2015-06-05 Frank van den Bosch , Surhud More , Marcello Cacciato , Houjun Mo , Xiaohu Yang

In the context of cosmological weak lensing studies, intrinsic alignments (IAs) are one the most complicated astrophysical systematic to model, given the poor understanding of the physical processes that cause them. A number of modelling…

宇宙学与河外天体物理 · 物理学 2024-05-10 Anya Paopiamsap , Natalia Porqueres , David Alonso , Joachim Harnois-Deraps , C. Danielle Leonard

Tidal gravitational forces can modify the shape of galaxies and clusters of galaxies, thus correlating their orientation with the surrounding matter density field. We study the dependence of this phenomenon, known as intrinsic alignment…

宇宙学与河外天体物理 · 物理学 2017-11-06 Davide Piras , Benjamin Joachimi , Björn Malte Schäfer , Mario Bonamigo , Stefan Hilbert , Edo van Uitert

The intrinsic alignment (IA) of galaxies is a major astrophysical contaminant to weak gravitational lensing measurements, and the study of its dependence on galaxy properties helps provide meaningful physical priors that aid cosmological…

Intrinsic alignments (IA) of galaxies is one of the key secondary signals to cosmic shear measurements, and must be modeled to interpret weak lensing data and infer the correct cosmology. There are large uncertainties in the physical…

Correlations between intrinsic ellipticities of galaxies are a potentially important systematic error when constraining dark energy properties from weak gravitational lensing (cosmic shear) surveys. In the absence of perfectly known galaxy…

宇宙学与河外天体物理 · 物理学 2015-05-13 Michael D. Schneider , Sarah Bridle

Galaxy intrinsic alignments (IAs) have long been recognised as a significant contaminant to weak lensing-based cosmological inference. In this paper we seek to quantify the impact of a common modelling assumption in analytic descriptions of…

宇宙学与河外天体物理 · 物理学 2019-12-16 S. Samuroff , R. Mandelbaum , T. Di Matteo

Coherent alignments of galaxy shapes, often called "intrinsic alignments" (IA), are the most significant source of astrophysical uncertainty in weak lensing measurements. We develop the tidal alignment model of IA and demonstrate its…

宇宙学与河外天体物理 · 物理学 2016-10-19 Jonathan Blazek , Uroš Seljak , Rachel Mandelbaum

The intrinsic alignment (IA) of galaxies is potentially a major limitation in deriving cosmological constraints from weak lensing surveys. In order to investigate this effect we assign intrinsic shapes and orientations to galaxies in the…

Intrinsic galaxy alignments constitute the major astrophysical systematic of forthcoming weak gravitational lensing surveys but also yield unique insights into galaxy formation and evolution. We build analytic models for the distribution of…

宇宙学与河外天体物理 · 物理学 2014-02-07 B. Joachimi , E. Semboloni , S. Hilbert , P. E. Bett , J. Hartlap , H. Hoekstra , P. Schneider

The intrinsic alignments (IA) of galaxies, regarded as a contaminant in weak lensing analyses, represents the correlation of galaxy shapes due to gravitational tidal interactions and galaxy formation processes. As such, understanding IA is…

宇宙学与河外天体物理 · 物理学 2024-04-23 Sneh Pandya , Yuanyuan Yang , Nicholas Van Alfen , Jonathan Blazek , Robin Walters

The intrinsic alignment (IA) of galaxies acts as a systematic effect in weak lensing measurements and tends to introduce biases. It mimics the gravitational lensing signal which makes it difficult to distinguish it from the true…

宇宙学与河外天体物理 · 物理学 2024-01-08 Abinash Das

The weak lensing signal (cosmic shear) has been shown to be strongly contaminated by the various types of galaxy intrinsic alignment (IA) correlations, which poses a barrier to precision weak lensing measurements. The redshift dependence of…

宇宙学与河外天体物理 · 物理学 2015-06-04 M. A. Troxel , Mustapha Ishak
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