Explore the words cloud of the Joint-probe analyses project. It provides you a very rough idea of what is the project "Joint-probe analyses" about.
The following table provides information about the project.
THE UNIVERSITY OF EDINBURGH
|Coordinator Country||United Kingdom [UK]|
|Total cost||195˙454 €|
|EC max contribution||195˙454 € (100%)|
1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
|Duration (year-month-day)||from 2018-04-02 to 2020-04-01|
Take a look of project's partnership.
|1||THE UNIVERSITY OF EDINBURGH||UK (EDINBURGH)||coordinator||195˙454.00|
Among the most pressing questions in physics are the nature of dark energy and dark matter. The former is the driving force behind the current accelerated expansion of the Universe while the latter accounts for the vast majority of matter and is responsible for the growth of the large-scale structure in the Universe. No satisfactory explanation has been put forward for either of these two mysterious substances, however. Future cosmological surveys, such as Euclid, will elucidate the nature of dark matter and dark energy by measuring the distribution of matter and the growth of structure in the Universe to unprecedented accuracy. These high-precision measurements put stringent requirements on the accuracy of the modelling and statistical tools. At small scales, the uncertainty in the modelling of baryonic processes is already restricting the potential of current cosmological surveys and, if not addressed promptly, will preclude future surveys from reaching their mission science goals. During the proposed action, the Fellow will address these challenges by constraining the effect of baryon physics on the matter distribution by performing a joint-probe analysis of the three cross-correlations between weak gravitational lensing from galaxies, lensing of the cosmic microwave background (CMB), and the thermal Sunyaev-Zeldovich (tSZ) effect. Analysing the joint-probe measurements poses unique challenges on the estimation of the data covariance. To overcome this obstacle, the Fellow will develop novel data covariance estimators based on recent statistical advances in resampling techniques of dependent data. These covariance estimation techniques will be applicable beyond the scope of this project and impact cosmology and astronomy in general by providing crucial new tools to estimate and validate the data covariances of large-scale surveys.
|year||authors and title||journal||last update|
Tilman TrÃ¶ster, Cameron Ferguson, Joachim Harnois-DÃ©raps, Ian G McCarthy
Painting with baryons: augmenting N-body simulations with gas using deep generative models
published pages: L24-L29, ISSN: 1745-3933, DOI: 10.1093/mnrasl/slz075
|Monthly Notices of the Royal Astronomical Society: Letters 487/1||2020-01-30|
J Harnois-DÃ©raps, A Amon, A Choi, V Demchenko, C Heymans, A Kannawadi, R Nakajima, E Sirks, L vanÂ Waerbeke, Yan-Chuan Cai, B Giblin, H Hildebrandt, H Hoekstra, L Miller, T TrÃ¶ster
Cosmological simulations for combined-probe analyses: covariance and neighbour-exclusion bias
published pages: 1337-1367, ISSN: 0035-8711, DOI: 10.1093/mnras/sty2319
|Monthly Notices of the Royal Astronomical Society 481/1||2020-01-30|
Fabian KÃ¶hlinger, Benjamin Joachimi, Marika Asgari, Massimo Viola, Shahab Joudaki, Tilman TrÃ¶ster
A Bayesian quantification of consistency in correlated datasets
published pages: , ISSN: 0035-8711, DOI: 10.1093/mnras/stz132
|Monthly Notices of the Royal Astronomical Society||2020-01-30|
Benjamin Giblin, Catherine Heymans, Joachim Harnois-DÃ©raps, Fergus Simpson, JÃ¶rg P Dietrich, Ludovic VanÂ Waerbeke, Alexandra Amon, Marika Asgari, Thomas Erben, Hendrik Hildebrandt, Benjamin Joachimi, Konrad Kuijken, Nicolas Martinet, Peter Schneider, Tilman TrÃ¶ster
KiDS-450: enhancing cosmic shear with clipping transformations
published pages: 5529-5549, ISSN: 0035-8711, DOI: 10.1093/mnras/sty2271
|Monthly Notices of the Royal Astronomical Society 480/4||2020-01-30|
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