Project acronym Cat-In-hAT
Project Catastrophic Interactions of Binary Stars and the Associated Transients
Researcher (PI) Ondrej PEJCHA
Host Institution (HI) UNIVERZITA KARLOVA
Country Czechia
Call Details Starting Grant (StG), PE9, ERC-2018-STG
Summary "One of the crucial formation channels of compact object binaries, including sources of gravitational waves, critically depends on catastrophic binary interactions accompanied by the loss of mass, angular momentum, and energy (""common envelope"" evolution - CEE). Despite its importance, CEE is perhaps the least understood major phase of binary star evolution and progress in this area is urgently needed to interpret observations from the new facilities (gravitational wave detectors, time-domain surveys).
Recently, the dynamical phase of the CEE has been associated with a class of transient brightenings exhibiting slow expansion velocities and copious formation of dust and molecules (red transients - RT). A number of RT features, especially the long timescale of mass loss, challenge the existing CEE paradigm.
Motivated by RT, I will use a new variant of magnetohydrodynamics to comprehensively examine the 3D evolution of CEE from the moment when the mass loss commences to the remnant phase. I expect to resolve the long timescales observed in RT, characterize binary stability in 3D with detailed microphysics, illuminate the fundamental problem of how is orbital energy used to unbind the common envelope in a regime that was inaccessible before, and break new ground on the amplification of magnetic fields during CEE.
I will establish RT as an entirely new probe of the CEE physics by comparing my detailed theoretical predictions of light curves from different viewing angles, spectra, line profiles, and polarimetric signatures with observations of RT. I will accomplish this by coupling multi-dimensional moving mesh hydrodynamics with radiation, dust formation, and chemical reactions. Finally, I will examine the physical processes in RT remnants on timescales of years to centuries after the outburst to connect RT with the proposed merger products and to identify them in time-domain surveys.
"
Summary
"One of the crucial formation channels of compact object binaries, including sources of gravitational waves, critically depends on catastrophic binary interactions accompanied by the loss of mass, angular momentum, and energy (""common envelope"" evolution - CEE). Despite its importance, CEE is perhaps the least understood major phase of binary star evolution and progress in this area is urgently needed to interpret observations from the new facilities (gravitational wave detectors, time-domain surveys).
Recently, the dynamical phase of the CEE has been associated with a class of transient brightenings exhibiting slow expansion velocities and copious formation of dust and molecules (red transients - RT). A number of RT features, especially the long timescale of mass loss, challenge the existing CEE paradigm.
Motivated by RT, I will use a new variant of magnetohydrodynamics to comprehensively examine the 3D evolution of CEE from the moment when the mass loss commences to the remnant phase. I expect to resolve the long timescales observed in RT, characterize binary stability in 3D with detailed microphysics, illuminate the fundamental problem of how is orbital energy used to unbind the common envelope in a regime that was inaccessible before, and break new ground on the amplification of magnetic fields during CEE.
I will establish RT as an entirely new probe of the CEE physics by comparing my detailed theoretical predictions of light curves from different viewing angles, spectra, line profiles, and polarimetric signatures with observations of RT. I will accomplish this by coupling multi-dimensional moving mesh hydrodynamics with radiation, dust formation, and chemical reactions. Finally, I will examine the physical processes in RT remnants on timescales of years to centuries after the outburst to connect RT with the proposed merger products and to identify them in time-domain surveys.
"
Max ERC Funding
1 243 219 €
Duration
Start date: 2019-01-01, End date: 2023-12-31
Project acronym LONGWOOD
Project Long-term woodland dynamics in Central Europe: from estimations to a realistic model
Researcher (PI) Peter Szabo
Host Institution (HI) BOTANICKY USTAV AV CR, V.V.I.
Country Czechia
Call Details Starting Grant (StG), PE10, ERC-2011-StG_20101014
Summary The vegetation of Central Europe has been directly influenced by humans for at least eight millennia; the original forests have been gradually transformed into today’s agricultural landscape. However, there is more to this landscape change than the simple disappearance of woodland. Forests have been brought under various management regimes, which profoundly altered their structure and species composition. The details of this process are little known for two main reasons. The greatest obstacle is the lack of cooperation among the disciplines dealing with the subject. The second major problem is the differences in spatio-temporal scaling and resolution used by the individual disciplines. Existing studies either concern smaller territories, or cover large areas (continental to global) with the help of modelling-based generalizations rather than primary data from the past. Using an extensive range of primary sources from history, historical geography, palaeoecology, archaeology and ecology, this interdisciplinary project aims to reconstruct the long-term (Neolithic to present) patterns of woodland cover, structure, composition and management in a larger study region (Moravia, the Czech Republic, ca. 27,000 km2) with the highest spatio-temporal resolution possible. Causes for the patterns observed will be analyzed in terms of qualitative and quantitative factors, both natural and human-driven, and the patterns in the tree layer will be related to those in the herb layer, which constitutes the most important part of plant biodiversity in Europe. This project will introduce woodland management as an equal driving force into long-term woodland dynamics, thus fostering a paradigm shift in ecology towards construing humans as an internal, constitutive element of ecosystems. By integrating sources and methods from the natural sciences and the humanities, the project will provide a more reliable basis for woodland management and conservation in Central Europe.
Summary
The vegetation of Central Europe has been directly influenced by humans for at least eight millennia; the original forests have been gradually transformed into today’s agricultural landscape. However, there is more to this landscape change than the simple disappearance of woodland. Forests have been brought under various management regimes, which profoundly altered their structure and species composition. The details of this process are little known for two main reasons. The greatest obstacle is the lack of cooperation among the disciplines dealing with the subject. The second major problem is the differences in spatio-temporal scaling and resolution used by the individual disciplines. Existing studies either concern smaller territories, or cover large areas (continental to global) with the help of modelling-based generalizations rather than primary data from the past. Using an extensive range of primary sources from history, historical geography, palaeoecology, archaeology and ecology, this interdisciplinary project aims to reconstruct the long-term (Neolithic to present) patterns of woodland cover, structure, composition and management in a larger study region (Moravia, the Czech Republic, ca. 27,000 km2) with the highest spatio-temporal resolution possible. Causes for the patterns observed will be analyzed in terms of qualitative and quantitative factors, both natural and human-driven, and the patterns in the tree layer will be related to those in the herb layer, which constitutes the most important part of plant biodiversity in Europe. This project will introduce woodland management as an equal driving force into long-term woodland dynamics, thus fostering a paradigm shift in ecology towards construing humans as an internal, constitutive element of ecosystems. By integrating sources and methods from the natural sciences and the humanities, the project will provide a more reliable basis for woodland management and conservation in Central Europe.
Max ERC Funding
1 413 474 €
Duration
Start date: 2012-01-01, End date: 2016-12-31
Project acronym MILESTONE
Project Microseismicity Illuminates Subduction Zone Processes
Researcher (PI) Christian Sippl
Host Institution (HI) GEOFYZIKALNI USTAV AV CR, V.V.I.
Country Czechia
Call Details Starting Grant (StG), PE10, ERC-2020-STG
Summary Background microseismicity in subduction zones contains important information on the geometry, kinematics and dynamics of subduction systems. Low-magnitude earthquakes on the plate interface can outline highly locked asperities and thus define the locus of potential future large earthquakes. Rates of aseismic processes like creep or slow slip can be estimated using swarm-like seismicity and/or repeating events, thus complementing geodetic approaches. At depths beyond the megathrust, microseismicity can give important clues to the distribution and motion of fluids, ongoing mineral reactions, as well as the thermal and rheological structure of the downgoing slab.
In this project, I propose to use existing large seismic data sets from four subduction zone settings to systematically harvest microseismicity at an unprecedented scale through the use of an innovative automated approach that combines new machine learning approaches into a comprehensive earthquake detection and location framework. This effort will yield consistently picked and located microearthquake catalogs of superior event numbers and spatial resolution, which will be the base for several research avenues with the following outcomes:
- high-resolution seismicity catalogs and new 3D plate interface and slab surface geometry models
- a new generation of plate interface locking models from combining permanent GPS data inversion with seismicity constraints
- highly resolved regional-scale tomographic images of subduction zones
- new models of petrology, phase changes and thermal structure across several downgoing plates
- a framework for the comparison of seismicity features between different subduction zones
The results from the proposed project will be a big leap towards understanding the physics of subduction zone earthquakes as well as deep fluid circulation and mineral phase changes in downgoing lithosphere. They will also serve as valuable input for future models of earthquake and tsunami hazard.
Summary
Background microseismicity in subduction zones contains important information on the geometry, kinematics and dynamics of subduction systems. Low-magnitude earthquakes on the plate interface can outline highly locked asperities and thus define the locus of potential future large earthquakes. Rates of aseismic processes like creep or slow slip can be estimated using swarm-like seismicity and/or repeating events, thus complementing geodetic approaches. At depths beyond the megathrust, microseismicity can give important clues to the distribution and motion of fluids, ongoing mineral reactions, as well as the thermal and rheological structure of the downgoing slab.
In this project, I propose to use existing large seismic data sets from four subduction zone settings to systematically harvest microseismicity at an unprecedented scale through the use of an innovative automated approach that combines new machine learning approaches into a comprehensive earthquake detection and location framework. This effort will yield consistently picked and located microearthquake catalogs of superior event numbers and spatial resolution, which will be the base for several research avenues with the following outcomes:
- high-resolution seismicity catalogs and new 3D plate interface and slab surface geometry models
- a new generation of plate interface locking models from combining permanent GPS data inversion with seismicity constraints
- highly resolved regional-scale tomographic images of subduction zones
- new models of petrology, phase changes and thermal structure across several downgoing plates
- a framework for the comparison of seismicity features between different subduction zones
The results from the proposed project will be a big leap towards understanding the physics of subduction zone earthquakes as well as deep fluid circulation and mineral phase changes in downgoing lithosphere. They will also serve as valuable input for future models of earthquake and tsunami hazard.
Max ERC Funding
1 311 480 €
Duration
Start date: 2021-06-01, End date: 2026-05-31
Project acronym MODES
Project Modal analysis of atmospheric balance, predictability and climate
Researcher (PI) Nedjeljka Zagar
Host Institution (HI) UNIVERZA V LJUBLJANI
Country Slovenia
Call Details Starting Grant (StG), PE10, ERC-2011-StG_20101014
Summary Despite large progress in modelling of atmospheric processes and computing capabilities and concentrated efforts to increase complexity of the atmospheric models, the assessment of accuracy of natural atmospheric climate variability, its predictability and interaction with anthropogenic influences is far from well understood. This project aims to advance scientific understanding of dynamical properties of the atmosphere and climate systems over many spatial and temporal scales.
It is proposed to study atmospheric balance and predictability in terms of the energy percentage which is associated with various types of motions, balanced or Rossby-type of motions and unbalanced or inertio-gravity motions. This representation of the atmosphere is called the normal-mode function representation and it is a heart of methodology proposed in this project.
The projects is built on theoretical foundation set in 1970s at the National Center for Atmospheric Research in USA and with the support of original developers it will apply normal-mode function representation tool to issues for which it could not have been reliably applied earlier. The project relies on accomplishments of the proposal’s PI in weather and data assimilation modeling which this project will extend to new research areas.
The project will quantify balance in analysis datasets and ensemble forecasting systems and use the results as a starting point for climate model assessment for their ability to represent the present climate and possible changes of balance in model simulations of future climate scenarios. Results will allow dynamical classification of climate models based on their balance properties. Predictability issues will be studied by comparing temporal variability of balance in the forecasts in terms of various spatial scales. An important project outcome will be a free-access, user-friendly tool for carrying out a physically-based analysis of weather and climate model outputs.
Summary
Despite large progress in modelling of atmospheric processes and computing capabilities and concentrated efforts to increase complexity of the atmospheric models, the assessment of accuracy of natural atmospheric climate variability, its predictability and interaction with anthropogenic influences is far from well understood. This project aims to advance scientific understanding of dynamical properties of the atmosphere and climate systems over many spatial and temporal scales.
It is proposed to study atmospheric balance and predictability in terms of the energy percentage which is associated with various types of motions, balanced or Rossby-type of motions and unbalanced or inertio-gravity motions. This representation of the atmosphere is called the normal-mode function representation and it is a heart of methodology proposed in this project.
The projects is built on theoretical foundation set in 1970s at the National Center for Atmospheric Research in USA and with the support of original developers it will apply normal-mode function representation tool to issues for which it could not have been reliably applied earlier. The project relies on accomplishments of the proposal’s PI in weather and data assimilation modeling which this project will extend to new research areas.
The project will quantify balance in analysis datasets and ensemble forecasting systems and use the results as a starting point for climate model assessment for their ability to represent the present climate and possible changes of balance in model simulations of future climate scenarios. Results will allow dynamical classification of climate models based on their balance properties. Predictability issues will be studied by comparing temporal variability of balance in the forecasts in terms of various spatial scales. An important project outcome will be a free-access, user-friendly tool for carrying out a physically-based analysis of weather and climate model outputs.
Max ERC Funding
495 482 €
Duration
Start date: 2011-12-01, End date: 2016-11-30
Project acronym SACCRED
Project Structured ACCREtion Disks: initial conditions for planet formation in the time domain
Researcher (PI) agnes KoSPaL
Host Institution (HI) CSILLAGASZATI ES FOLDTUDOMANYI KUTATOKOZPONT
Country Hungary
Call Details Starting Grant (StG), PE9, ERC-2016-STG
Summary In this ERC Starting Grant, I propose an ambitious research program to target important challenges in predicting realistic initial conditions for the planet formation process. I will perform a large systematic study of the accretion-driven eruptions of newborn stars, and evaluate their influence on the structure, composition, and chemistry of the terrestrial planet forming zone in the circumstellar disk. The research will focus on three main questions:
- How does the mass accretion proceed in realistic, structured, non-axisymmetric disks?
- What physical mechanisms explain the accretion-driven eruptions?
- What is the effect of the eruptions on the disk?
My new research group will study young eruptive stars, pre-main sequence objects prone to episodes of extremely powerful accretion-driven outbursts, and combine new observations, state-of-the-art numerical modelling, and information from the literature. With a novel concept, we will first model the time-dependence of mass accretion in circumstellar disks, taking into account the latest observational results on inhomogeneous disk structure, and determine what fraction of young stellar objects is susceptible to high mass accretion peaks. Next, we will revise the paradigm of the eruptive phenomenon, compelled by recently discovered young eruptive stars whose outbursts are inconsistent with current outburst theories. Finally, we will determine the impact of accretion-driven eruptions on the disk, by considering the increased external irradiation, internal accretion heating, and stellar winds. With my experience and track record, I am in a position to comprehensively synthesize existing and newly acquired information to reach the proposed goals. The expected outcome of the ERC project is a conclusive demonstration of the ubiquity and profound impact of episodic accretion on disk structure, providing the initial physical conditions for disk evolution and planet formation models.
Summary
In this ERC Starting Grant, I propose an ambitious research program to target important challenges in predicting realistic initial conditions for the planet formation process. I will perform a large systematic study of the accretion-driven eruptions of newborn stars, and evaluate their influence on the structure, composition, and chemistry of the terrestrial planet forming zone in the circumstellar disk. The research will focus on three main questions:
- How does the mass accretion proceed in realistic, structured, non-axisymmetric disks?
- What physical mechanisms explain the accretion-driven eruptions?
- What is the effect of the eruptions on the disk?
My new research group will study young eruptive stars, pre-main sequence objects prone to episodes of extremely powerful accretion-driven outbursts, and combine new observations, state-of-the-art numerical modelling, and information from the literature. With a novel concept, we will first model the time-dependence of mass accretion in circumstellar disks, taking into account the latest observational results on inhomogeneous disk structure, and determine what fraction of young stellar objects is susceptible to high mass accretion peaks. Next, we will revise the paradigm of the eruptive phenomenon, compelled by recently discovered young eruptive stars whose outbursts are inconsistent with current outburst theories. Finally, we will determine the impact of accretion-driven eruptions on the disk, by considering the increased external irradiation, internal accretion heating, and stellar winds. With my experience and track record, I am in a position to comprehensively synthesize existing and newly acquired information to reach the proposed goals. The expected outcome of the ERC project is a conclusive demonstration of the ubiquity and profound impact of episodic accretion on disk structure, providing the initial physical conditions for disk evolution and planet formation models.
Max ERC Funding
1 370 200 €
Duration
Start date: 2017-07-01, End date: 2022-06-30
Project acronym ToMeTuM
Project Towards the Understanding a Metal-Tumour-Metabolism
Researcher (PI) Vojtech Adam
Host Institution (HI) VYSOKE UCENI TECHNICKE V BRNE
Country Czechia
Call Details Starting Grant (StG), LS7, ERC-2017-STG
Summary A tumour cell uses both genetic and protein weapons in its development. Gaining a greater understanding of these lethal mechanisms is a key step towards developing novel and more effective treatments. Because the metal ion metabolism of a tumour cell is not fully understood, we will address the challenge of explaining the mechanisms of how a tumour cell copes both with essential metal ions and platinum based drugs. The metal-based mechanisms help a tumour to grow on one side and to protect itself against commonly used metal-based drugs. On the other side, the exact description of these mechanisms, which are being associated with multi-drug resistance occurrence and failure of a treatment, still remains unclear. We will reveal the mechanism of the as yet not understood biochemical and molecularly-biological relationships and correlations between metal ions and proteins in a tumour development revealing the way how to suppress the growth and development of a tumour and to markedly enhance the effectiveness of a treatment.
To achieve this goal, we will focus on metallothionein and its interactions with essential metals and metal-containing anticancer drugs (cisplatin, carboplatin, and oxaliplatin). Their actions will be monitored both in vitro and in vivo. For this purpose, we will optimize electrochemical, mass spectrometric and immune-based methods. Based on processing of data obtained, new carcinogenetic pathways will be sought on cell level and proved by genetic modifications of target genes. The discovered processes and the pathways found will then be tested on two animal experimental models mice bearing breast tumours (MCF-7 and 4T1) and MeLiM minipigs bearing melanomas.
The precise description of the tumour related pathways coping with metal ions based on metallothioneins will direct new highly effective treatment strategies. Moreover, the discovery of new carcinogenetic pathways will open a window for understanding of cancer formation and development.
Summary
A tumour cell uses both genetic and protein weapons in its development. Gaining a greater understanding of these lethal mechanisms is a key step towards developing novel and more effective treatments. Because the metal ion metabolism of a tumour cell is not fully understood, we will address the challenge of explaining the mechanisms of how a tumour cell copes both with essential metal ions and platinum based drugs. The metal-based mechanisms help a tumour to grow on one side and to protect itself against commonly used metal-based drugs. On the other side, the exact description of these mechanisms, which are being associated with multi-drug resistance occurrence and failure of a treatment, still remains unclear. We will reveal the mechanism of the as yet not understood biochemical and molecularly-biological relationships and correlations between metal ions and proteins in a tumour development revealing the way how to suppress the growth and development of a tumour and to markedly enhance the effectiveness of a treatment.
To achieve this goal, we will focus on metallothionein and its interactions with essential metals and metal-containing anticancer drugs (cisplatin, carboplatin, and oxaliplatin). Their actions will be monitored both in vitro and in vivo. For this purpose, we will optimize electrochemical, mass spectrometric and immune-based methods. Based on processing of data obtained, new carcinogenetic pathways will be sought on cell level and proved by genetic modifications of target genes. The discovered processes and the pathways found will then be tested on two animal experimental models mice bearing breast tumours (MCF-7 and 4T1) and MeLiM minipigs bearing melanomas.
The precise description of the tumour related pathways coping with metal ions based on metallothioneins will direct new highly effective treatment strategies. Moreover, the discovery of new carcinogenetic pathways will open a window for understanding of cancer formation and development.
Max ERC Funding
1 377 495 €
Duration
Start date: 2018-01-01, End date: 2022-12-31
