ERC FUNDED PROJECTS

CHROMPHYS aims at a breakthrough in our understanding of the solar chromosphere by combining the development of sophisticated radiation-magnetohydrodynamic simulations with observations from the upcoming NASA SMEX mission Interface Region Imaging Spectrograph (IRIS). The enigmatic chromosphere is the transition between the solar surface and the eruptive outer solar atmosphere. The chromosphere harbours and constrains the mass and energy loading processes that define the heating of the corona, the acceleration and the composition of the solar wind, and the energetics and triggering of solar outbursts (filament eruptions, flares, coronal mass ejections) that govern near-Earth space weather and affect mankind's technological environment. CHROMPHYS targets the following fundamental physics questions about the chromospheric role in the mass and energy loading of the corona: - Which types of non-thermal energy dominate in the chromosphere and beyond? - How does the chromosphere regulate mass and energy supply to the corona and the solar wind? - How do magnetic flux and matter rise through the chromosphere? - How does the chromosphere affect the free magnetic energy loading that leads to solar eruptions? CHROMPHYS proposes to answer these by producing a new, physics based vista of the chromosphere through a three-fold effort: - develop the techniques of high-resolution numerical MHD physics to the level needed to realistically predict and analyse small-scale chromospheric structure and dynamics, - optimise and calibrate diverse observational diagnostics by synthesizing these in detail from the simulations, and - obtain and analyse data from IRIS using these diagnostics complemented by data from other space missions and the best solar telescopes on the ground.

2 487 600 €

Start date: 2012-01-01, End date: 2016-12-31

Many major and devastating floods have occurred around the world recently. Their number and magnitude seems to have increased but such changes are not clear. More surprisingly, the exact causes of changes remain a mystery. Although, drivers such as climate and land use change are known to play a critical role, their complex interactions in flood generation have not been disentangled. The main objectives of this project are to understand how changes in land use and climate translate into changes in river floods, what are the factors controlling this relationship and what are the uncertainties involved. We decipher the relationship between changes in floods and their drivers by analysing the processes separately for different flood types such as flash floods, rain-on-snow floods and large scale synoptic floods. We then use data from catchments in transects across Europe to build a probabilistic flood-change model that explicitly describes the change mechanisms. The model is unconventional as it does not take a reductionist approach but conceptualises the dominant flood change processes at the catchment scale. We test the model on long high-quality flood data series. We use the model as well as the temporal and spatial data variability to quantify the sensitivity of floods to climate and land use change and estimate the uncertainties involved. The data are already available to me or will be made available through my excellent contacts in Europe. For the first time, it will be possible to systematise the effects of land use and climate on floods which will provide a vital step towards predicting how floods will change in the future.

2 263 565 €

Start date: 2012-04-01, End date: 2017-03-31

Antihydrogen is the simplest atom consisting entirely of antimatter. Since its counterpart hydrogen is one of the best studied atoms in physics, a comparison of antihydrogen and hydrogen offers one of the most sensitive tests of CPT symmetry. CPT, the successive application of charge conjugation, parity and time reversal transformation is a fundamental symmetry conserved in the standard model (SM) of particle physics as a consequence of a mathematical theorem. These conditions for this theorem to be fulfilled are not valid any more in extensions of the SM like string theory or quantum gravity. Furthermore, even a tiny violation of CPT symmetry at the time of the big bang could be a cause of the observed antimatter absence in the universe. Thus the observation of CPT violation might offer a first indication for the validity of string theory, and would have important cosmological consequences. This project proposes to measure the ground state hyperfine (HFS) splitting of antihydrogen (HBAR), which is known in hydrogen with relative precision of 10^–12. The experimental method pursued within the ASACUSA collaboration at CERN-AD consists in the formation of an antihydrogen beam and a measurement using a spin-flip cavity and a sextupole magnet as spin analyser like it was done initially for hydrogen. A major milestone was achieved in 2010 when antihydrogen was first synthesized by ASACUSA. In the first phase of this proposal, an antihydrogen beam will be produced and the HBAR-HFS will be measured to a precision of around 10^–7 using a single microwave cavity. In a second phase, the Ramsey method of separated oscillatory fields will be used to increase the precision further. In parallel methods will be developed towards trapping and laser cooling the antihydrogen atoms. Letting the cooled antihydrogen escape in a field free region and perform microwave spectroscopy offers the ultimate precision achievable to measure the HBAR-HFS and one of the most sensitive tests of CPT.

2 599 900 €

Start date: 2012-03-01, End date: 2017-02-28

"For almost all kinds of dynamic systems modeling real processes in nature or society, most of the mathematical models we can formulate are - at best - inaccurate, and subject to random fluctuations and other types of ""noise"". Therefore it is important to be able to deal with such noisy models in a mathematically rigorous way. This rigorous theory is stochastic analysis. Theoretical progress in stochastic analysis will lead to new and improved applications in a wide range of fields. The main purpose of this proposal is to establish a research environment which enhances the creation of new ideas and methods in the research of stochastic analysis and its applications. The emphasis is more on innovation, new models and challenges in the research frontiers, rather than small variations and minor improvements of already established theories and results. We will concentrate on applications in finance and biology, but the theoretical results may as well apply to several other areas. Utilizing recent results and achievements by PI and a large group of distinguished coworkers, the natural extensions from the present knowledge is to concentrate on the mathematical theory of the interplay between stochastic analysis, stochastic control and information. More precisely, we have ambitions to make fundamental progress in the general theory of stochastic control of random systems and applications in finance and biology, and the explicit relation between the optimal performance and the amount of information available to the controller. Explicit examples of special interest include optimal control under partial or delayed information, and optimal control under inside or advanced information. A success of the present proposal will represent a substantial breakthrough, and in turn bring us a significant step forward in our attempts to understand various aspects of the world better, and it will help us to find optimal, sustainable ways to influence it."

1 864 800 €

Start date: 2009-09-01, End date: 2014-08-31