Opendata, web and dolomites

HALOS2020 SIGNED

Accurate halo masses in the precision cosmology era

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "HALOS2020" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITEIT LEIDEN 

Organization address
address: RAPENBURG 70
city: LEIDEN
postcode: 2311 EZ
website: www.universiteitleiden.nl

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Netherlands [NL]
 Total cost 165˙598 €
 EC max contribution 165˙598 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2017
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2018
 Duration (year-month-day) from 2018-09-01   to  2020-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITEIT LEIDEN NL (LEIDEN) coordinator 165˙598.00

Map

 Project objective

Weak gravitational lensing is a very powerful tool for investigating the relation between galaxies and their host dark matter halos. Thanks to current photometric surveys such as KiDS, DES and HSC, the quality of the data available for weak lensing studies is rapidly improving. However, there has not yet been a corresponding improvement in the methods used for the analysis of this data: most weak lensing studies are still carried out by stacking the signal in bins, resulting in a net loss of information. As an alternative to stacking, I have recently developed a new method to infer the distribution of halo masses of a population of galaxies with weak lensing data. The method, based on a Bayesian hierarchical inference formalism, allows for an easy exploration of correlations in many dimensions, and to directly constrain the intrinsic scatter in halo mass. In this project, I will use my method to look for correlations between halo mass and secondary galaxy properties at fixed stellar mass, such as the age of the stellar population, in KiDS data. I will first test the robustness of my method on hydrodynamical simulations. Then, after receiving a training on the most technical aspects of KiDS weak lensing measurements, I will apply it on real data. Finally, I will compare the results of my analysis with predictions from theoretical models. By detecting or ruling out correlations between halo mass and galaxy properties, I will be able to put powerful constraints on galaxy evolution models. This project will produce an immediate return in terms of science, and will pave the way for the use of more efficient analysis methods in future surveys such as Euclid.

 Publications

year authors and title journal last update
List of publications.
2019 Alessandro Sonnenfeld, Wenting Wang, Neta Bahcall
Hyper Suprime-Cam view of the CMASS galaxy sample
published pages: A30, ISSN: 0004-6361, DOI: 10.1051/0004-6361/201834260
Astronomy & Astrophysics 622 2019-04-18

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "HALOS2020" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "HALOS2020" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.3.2.)

NaWaTL (2020)

Narrative, Writing, and the Teotihuacan Language: Exploring Language History Through Phylogenetics, Epigraphy and Iconography

Read More  

TOPOCIRCUS (2019)

Simulations of Topological Phases in Superconducting Circuits

Read More  

POMOC (2019)

Charles IV and the power of marvellous objects

Read More