Publications associées à M104 (galaxie)

Validation of emission-line galaxies target selection algorithms for the Dark Energy Spectroscopic Instrument using the MMT Binospec

Anand Stéphane Raichoor

The forthcoming Dark Energy Spectroscopic Instrument (DESI) experiment plans to measure the effects of dark energy on the expansion of the Universe and create a 3D map of the Universe using galaxies up to z similar to 1.6 and QSOs up to z similar to 3.5. I ...

OXFORD UNIV PRESS2020

The distribution of dark matter and gas spanning 6 Mpc around the post-merger galaxy cluster MS0451-03

Jean-Paul Richard Kneib, David Richard Harvey, Mathilde Jauzac, Baptiste Philippe Klein, Richard Massey

Using the largestmosaic of Hubble Space Telescope images around a galaxy cluster, we map the distribution of darkmatter throughout an similar to 6 x 6 Mpc(2) area centred on the clusterMS 0451-03 (z = 0.54, M-200 = 1.65 x 10(15) M-circle dot). Our joint st ...

OXFORD UNIV PRESS2020

TDCOSMO. IV. Hierarchical time-delay cosmography - joint inference of the Hubble constant and galaxy density profiles

Frédéric Courbin, Martin Raoul Robert Millon, Aymeric Alexandre Galan, Adriano Agnello

The H0LiCOWcollaboration inferred via strong gravitational lensing time delays a Hubble constant value of H0 = 73 :3+1:7 1:8 km s 1 Mpc 1, describing deflector mass density profiles by either a power-law or stars (constant mass-to-light ratio) plus standar ...

EDP SCIENCES S A2020

The completed SDSS-IV extended baryon oscillation spectroscopic survey: growth rate of structure measurement from anisotropic clustering analysis in configuration space between redshift 0.6 and 1.1 for the emission-line galaxy sample

Jean-Paul Richard Kneib, Cheng Zhao, Johan Comparat, Anand Stéphane Raichoor, Yuting Wang, Amélie Tamone, Claudio Gorgoni

We present the anisotropic clustering of emission-line galaxies (ELGs) from the Sloan Digital Sky Survey IV (SDSS-IV) extended Baryon Oscillation Spectroscopic Survey (eBOSS) Data Release 16 (DR16). Our sample is composed of 173 736 ELGs covering an area o ...

OXFORD UNIV PRESS2020

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

Jonathan Andrew Blazek, Yuguang Chen

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

Weak-lensing shear measurement with machine learning Teaching artificial neural networks about feature noise

Frédéric Courbin, Thibault Adrien Kuntzer, Malte Tewes

Cosmic shear, that is weak gravitational lensing by the large-scale matter structure of the Universe, is a primary cosmological probe for several present and upcoming surveys investigating dark matter and dark energy, such as Euclid or WFIRST. The probe re ...

EDP SCIENCES S A2019

The core of the massive cluster merger MACS J0417.5-1154 as seen by VLT/MUSE

Jean-Paul Richard Kneib, David Richard Harvey, Mathilde Jauzac, Richard Massey, Johan Richard

We present a multiwavelength analysis of the core of the massive galaxy cluster MACS J0417.5-1154 (z = 0.441). Our analysis takes advantage of Very Large Telescope/Multi-Unit Spectroscopic Explorer observations which allowthe spectroscopic confirmation of ...

OXFORD UNIV PRESS2019

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M104 (galaxie)

Validation of emission-line galaxies target selection algorithms for the Dark Energy Spectroscopic Instrument using the MMT Binospec

The distribution of dark matter and gas spanning 6 Mpc around the post-merger galaxy cluster MS0451-03

TDCOSMO. IV. Hierarchical time-delay cosmography - joint inference of the Hubble constant and galaxy density profiles

The completed SDSS-IV extended baryon oscillation spectroscopic survey: growth rate of structure measurement from anisotropic clustering analysis in configuration space between redshift 0.6 and 1.1 for the emission-line galaxy sample

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

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

Weak-lensing shear measurement with machine learning Teaching artificial neural networks about feature noise

Phenotypic redshifts with self-organizing maps: A novel method to characterize redshift distributions of source galaxies for weak lensing

The core of the massive cluster merger MACS J0417.5-1154 as seen by VLT/MUSE

Constraining the photon coupling of ultra-light dark-matter axion-like particles by polarization variations of parsec-scale jets in active galaxies

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Chattez avec Graph Search

Validation of emission-line galaxies target selection algorithms for the Dark Energy Spectroscopic Instrument using the MMT Binospec

Phenotypic redshifts with self-organizing maps: A novel method to characterize redshift distributions of source galaxies for weak lensing

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

TDCOSMO. IV. Hierarchical time-delay cosmography - joint inference of the Hubble constant and galaxy density profiles

The completed SDSS-IV extended baryon oscillation spectroscopic survey: growth rate of structure measurement from anisotropic clustering analysis in configuration space between redshift 0.6 and 1.1 for the emission-line galaxy sample

Constraining the photon coupling of ultra-light dark-matter axion-like particles by polarization variations of parsec-scale jets in active galaxies

The core of the massive cluster merger MACS J0417.5-1154 as seen by VLT/MUSE

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

Weak-lensing shear measurement with machine learning Teaching artificial neural networks about feature noise

The distribution of dark matter and gas spanning 6 Mpc around the post-merger galaxy cluster MS0451-03