SKA preconstruction phase continuation at UCL
Lead Research Organisation:
University College London
Department Name: Physics and Astronomy
Abstract
The Square Kilometre Array will be the largest radio facility every built. It will cost all the member countries 650MEuros to build in its first incarnation. It will be able to provide the most accurate radio images every taken and will touch several areas of physics including Cosmology, Galaxy Formation, Galaxy Evolution, The Cradle of Live, Fundamental tests of General Relativity via Pulsars as well as tests of Cosmic Magnetism.
In order to build such an instrument the participating countries are funding a large effort to design such an array by outlining algorithms and pipelines which will be sufficient to solve the data reduction issues which will be faced by this enormous project. The aim of this project will be to contribute to this design phase and perform the necessary tasks which will enable the SKA to start its construction phase in 2016.
In order to build such an instrument the participating countries are funding a large effort to design such an array by outlining algorithms and pipelines which will be sufficient to solve the data reduction issues which will be faced by this enormous project. The aim of this project will be to contribute to this design phase and perform the necessary tasks which will enable the SKA to start its construction phase in 2016.
Planned Impact
The Square Kilometre Array will be a massive project with numerous links to industry. Our group will contribute to the PROT.ISP work package which will establish links and hardware requirements for the Square Kilometre array. The impact of such project will be massive as it will require close links with the computing industry for data analysis and correlations of the raw radio data.
Organisations
Publications
Jarvis M
(2016)
The DES Science Verification weak lensing shear catalogues
in Monthly Notices of the Royal Astronomical Society
Kirk D
(2016)
Cross-correlation of gravitational lensing from DES Science Verification data with SPT and Planck lensing
in Monthly Notices of the Royal Astronomical Society
Rivi M
(2016)
Radio weak lensing shear measurement in the visibility domain - I. Methodology
in Monthly Notices of the Royal Astronomical Society
Asad K
(2016)
Polarization leakage in epoch of reionization windows - II. Primary beam model and direction-dependent calibration
in Monthly Notices of the Royal Astronomical Society
Xavier H
(2016)
Improving lognormal models for cosmological fields
in Monthly Notices of the Royal Astronomical Society
Giannantonio T
(2016)
CMB lensing tomography with the DES Science Verification galaxies
in Monthly Notices of the Royal Astronomical Society
Chapman E
(2016)
The effect of foreground mitigation strategy on EoR window recovery
in Monthly Notices of the Royal Astronomical Society
Chang C
(2016)
Galaxy bias from the Dark Energy Survey Science Verification data: combining galaxy density maps and weak lensing maps
in Monthly Notices of the Royal Astronomical Society
Hennig C
(2017)
Galaxy Populations in Massive Galaxy Clusters to $z$ = 1.1: Color Distribution, Concentration, Halo Occupation Number and Red Sequence Fraction
in Monthly Notices of the Royal Astronomical Society
Clerkin L
(2017)
Testing the lognormality of the galaxy and weak lensing convergence distributions from Dark Energy Survey maps
in Monthly Notices of the Royal Astronomical Society
McLeod M
(2017)
A joint analysis for cosmology and photometric redshift calibration using cross-correlations
in Monthly Notices of the Royal Astronomical Society
Wolz L
(2017)
Erasing the Milky Way: new cleaning technique applied to GBT intensity mapping data
in Monthly Notices of the Royal Astronomical Society
Chan K. C.
(2018)
BAO from angular clustering: optimization and mitigation of theoretical systematics
in ArXiv e-prints
Prat J
(2018)
Galaxy bias from galaxy-galaxy lensing in the DES science verification data
in Monthly Notices of the Royal Astronomical Society
Jeffrey N.
(2018)
Improving Weak Lensing Mass Map Reconstructions using Gaussian and Sparsity Priors: Application to DES SV
in ArXiv e-prints
Jennings W
(2019)
Evaluating machine learning techniques for predicting power spectra from reionization simulations
in Monthly Notices of the Royal Astronomical Society
Jennings W
(2020)
Analysing the Epoch of Reionization with three-point correlation functions and machine learning techniques
in Monthly Notices of the Royal Astronomical Society
Description | The consortia we were members of and participated completed their CDR recently. |
Exploitation Route | The findings from the consortia will be used now in the construction phase of the telescope. |
Sectors | Digital/Communication/Information Technologies (including Software),Education,Electronics,Other |
Description | The SKA is on its path co complete its construction phase which will be a large and substantial landmark in the engagement we have with the public. It will be a landmark telescope which will yield observations never made before. It wil lalso have an impact on the economy as the construction phase will allow the community to engage industry to help building this telescope. |
First Year Of Impact | 2015 |
Sector | Digital/Communication/Information Technologies (including Software),Education |
Impact Types | Cultural,Societal,Economic |