Publications related to Galaxy filament

Detecting galaxy-filament alignments in the Sloan Digital Sky Survey III

Previous studies have shown the filamentary structures in the cosmic web influence the alignments of nearby galaxies. We study this effect in the LOWZ sample of the Sloan Digital Sky Survey using the 'Cosmic Web Reconstruction' filament catalogue. We find ...

OXFORD UNIV PRESS2019

LSST: From Science Drivers to Reference Design and Anticipated Data Products

Darong Huang, Jonathan Andrew Blazek, Anja Annemone Becker, Shikhar Tuli, Michelle Miller, Guillaume Blanc, Abhijit Saha, Wei Cui, Christopher Montgomery, Darko Jevremovic

We describe here the most ambitious survey currently planned in the optical, the Large Synoptic Survey Telescope (LSST). The LSST design is driven by four main science themes: probing dark energy and dark matter, taking an inventory of the solar system, ex ...

IOP PUBLISHING LTD2019

Core Cosmology Library: Precision Cosmological Predictions for LSST

Jonathan Andrew Blazek

The Core Cosmology Library (CCL) provides routines to compute basic cosmological observables to a high degree of accuracy, which have been verified with an extensive suite of validation tests. Predictions are provided for many cosmological quantities, incl ...

IOP PUBLISHING LTD2019

Cosmological Constraints from Multiple Probes in the Dark Energy Survey

Yi Zhang, Eduardo Sanchez, Mingkui Wang, Jonathan Andrew Blazek, Yue Pan

The combination of multiple observational probes has long been advocated as a powerful technique to constrain cosmological parameters, in particular dark energy. The Dark Energy Survey has measured 207 spectroscopically confirmed type Ia supernova light cu ...

AMER PHYSICAL SOC2019

Dark Energy Survey Year 1 results: Methodology and projections for joint analysis of galaxy clustering, galaxy lensing, and CMB lensing two-point functions

Eduardo Sanchez, Jonathan Andrew Blazek

Optical imaging surveys measure both the galaxy density and the gravitational lensing-induced shear fields across the sky. Recently, the Dark Energy Survey (DES) Collaboration used a joint fit to two-point correlations between these observables to place ti ...

2019

Dark Energy Survey Year 1 results: constraints on intrinsic alignments and their colour dependence from galaxy clustering and weak lensing

Eduardo Sanchez, Jonathan Andrew Blazek

We perform a joint analysis of intrinsic alignments and cosmology using tomographic weak lensing, galaxy clustering, and galaxy-galaxy lensing measurements from Year 1 (Y1) of the Dark Energy Survey. We define early- and late-type subsamples, which are fou ...

2019

Testing gravity with galaxy-galaxy lensing and redshift-space distortions using CFHT-Stripe 82, CFHTLenS, and BOSS CMASS datasets

Jean-Paul Richard Kneib, Johan Comparat, Huanyuan Shan

The combination of galaxy-galaxy lensing (GGL) and redshift space distortion of galaxy clustering (RSD) is a privileged technique to test general relativity predictions and break degeneracies between the growth rate of structure parameter f and the amplitu ...

EDP Sciences2019

Dark Energy Survey Year 1 Results: Tomographic cross-correlations between Dark Energy Survey galaxies and CMB lensing from South Pole Telescope plus Planck

Eduardo Sanchez, Jonathan Andrew Blazek

We measure the cross-correlation between REDMAGIC galaxies selected from the Dark Energy Survey (DES) year 1 data and gravitational lensing of the cosmic microwave background (CMB) reconstructed from South Pole Telescope (SPT) and Planck data over 1289 deg ...

AMER PHYSICAL SOC2019

Dark Energy Survey year 1 results: Constraints on extended cosmological models from galaxy clustering and weak lensing

Yi Zhang, Eduardo Sanchez, Jonathan Andrew Blazek

We present constraints on extensions of the minimal cosmological models dominated by dark matter and dark energy, Lambda CDM and wCDM, by using a combined analysis of galaxy clustering and weak gravitational lensing from the first-year data of the Dark Ene ...

AMER PHYSICAL SOC2019

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Galaxy filament

Detecting galaxy-filament alignments in the Sloan Digital Sky Survey III

A survey of the thermal and non-thermal properties of cosmic filaments

LSST: From Science Drivers to Reference Design and Anticipated Data Products

Core Cosmology Library: Precision Cosmological Predictions for LSST

Cosmological Constraints from Multiple Probes in the Dark Energy Survey

Dark Energy Survey Year 1 results: Methodology and projections for joint analysis of galaxy clustering, galaxy lensing, and CMB lensing two-point functions

Dark Energy Survey Year 1 results: constraints on intrinsic alignments and their colour dependence from galaxy clustering and weak lensing

Testing gravity with galaxy-galaxy lensing and redshift-space distortions using CFHT-Stripe 82, CFHTLenS, and BOSS CMASS datasets

Dark Energy Survey Year 1 Results: Tomographic cross-correlations between Dark Energy Survey galaxies and CMB lensing from South Pole Telescope plus Planck

Dark Energy Survey year 1 results: Constraints on extended cosmological models from galaxy clustering and weak lensing

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Chat with Graph Search

Dark Energy Survey year 1 results: Constraints on extended cosmological models from galaxy clustering and weak lensing

A survey of the thermal and non-thermal properties of cosmic filaments

Detecting galaxy-filament alignments in the Sloan Digital Sky Survey III

Cosmological Constraints from Multiple Probes in the Dark Energy Survey

Dark Energy Survey Year 1 results: Methodology and projections for joint analysis of galaxy clustering, galaxy lensing, and CMB lensing two-point functions

Core Cosmology Library: Precision Cosmological Predictions for LSST

Dark Energy Survey Year 1 results: constraints on intrinsic alignments and their colour dependence from galaxy clustering and weak lensing

Dark Energy Survey Year 1 Results: Tomographic cross-correlations between Dark Energy Survey galaxies and CMB lensing from South Pole Telescope plus Planck

Testing gravity with galaxy-galaxy lensing and redshift-space distortions using CFHT-Stripe 82, CFHTLenS, and BOSS CMASS datasets

LSST: From Science Drivers to Reference Design and Anticipated Data Products