Project acronym 3DSPIN
Project 3-Dimensional Maps of the Spinning Nucleon
Researcher (PI) Alessandro Bacchetta
Host Institution (HI) UNIVERSITA DEGLI STUDI DI PAVIA
Call Details Consolidator Grant (CoG), PE2, ERC-2014-CoG
Summary How does the inside of the proton look like? What generates its spin?
3DSPIN will deliver essential information to answer these questions at the frontier of subnuclear physics.
At present, we have detailed maps of the distribution of quarks and gluons in the nucleon in 1D (as a function of their momentum in a single direction). We also know that quark spins account for only about 1/3 of the spin of the nucleon.
3DSPIN will lead the way into a new stage of nucleon mapping, explore the distribution of quarks in full 3D momentum space and obtain unprecedented information on orbital angular momentum.
Goals
1. extract from experimental data the 3D distribution of quarks (in momentum space), as described by Transverse-Momentum Distributions (TMDs);
2. obtain from TMDs information on quark Orbital Angular Momentum (OAM).
Methodology
3DSPIN will implement state-of-the-art fitting procedures to analyze relevant experimental data and extract quark TMDs, similarly to global fits of standard parton distribution functions. Information about quark angular momentum will be obtained through assumptions based on theoretical considerations. The next five years represent an ideal time window to accomplish our goals, thanks to the wealth of expected data from deep-inelastic scattering experiments (COMPASS, Jefferson Lab), hadronic colliders (Fermilab, BNL, LHC), and electron-positron colliders (BELLE, BABAR). The PI has a strong reputation in this field. The group will operate in partnership with the Italian National Institute of Nuclear Physics and in close interaction with leading experts and experimental collaborations worldwide.
Impact
Mapping the 3D structure of chemical compounds has revolutionized chemistry. Similarly, mapping the 3D structure of the nucleon will have a deep impact on our understanding of the fundamental constituents of matter. We will open new perspectives on the dynamics of quarks and gluons and sharpen our view of high-energy processes involving nucleons.
Summary
How does the inside of the proton look like? What generates its spin?
3DSPIN will deliver essential information to answer these questions at the frontier of subnuclear physics.
At present, we have detailed maps of the distribution of quarks and gluons in the nucleon in 1D (as a function of their momentum in a single direction). We also know that quark spins account for only about 1/3 of the spin of the nucleon.
3DSPIN will lead the way into a new stage of nucleon mapping, explore the distribution of quarks in full 3D momentum space and obtain unprecedented information on orbital angular momentum.
Goals
1. extract from experimental data the 3D distribution of quarks (in momentum space), as described by Transverse-Momentum Distributions (TMDs);
2. obtain from TMDs information on quark Orbital Angular Momentum (OAM).
Methodology
3DSPIN will implement state-of-the-art fitting procedures to analyze relevant experimental data and extract quark TMDs, similarly to global fits of standard parton distribution functions. Information about quark angular momentum will be obtained through assumptions based on theoretical considerations. The next five years represent an ideal time window to accomplish our goals, thanks to the wealth of expected data from deep-inelastic scattering experiments (COMPASS, Jefferson Lab), hadronic colliders (Fermilab, BNL, LHC), and electron-positron colliders (BELLE, BABAR). The PI has a strong reputation in this field. The group will operate in partnership with the Italian National Institute of Nuclear Physics and in close interaction with leading experts and experimental collaborations worldwide.
Impact
Mapping the 3D structure of chemical compounds has revolutionized chemistry. Similarly, mapping the 3D structure of the nucleon will have a deep impact on our understanding of the fundamental constituents of matter. We will open new perspectives on the dynamics of quarks and gluons and sharpen our view of high-energy processes involving nucleons.
Max ERC Funding
1 509 000 €
Duration
Start date: 2015-07-01, End date: 2020-06-30
Project acronym AIDA
Project An Illumination of the Dark Ages: modeling reionization and interpreting observations
Researcher (PI) Andrei Albert Mesinger
Host Institution (HI) SCUOLA NORMALE SUPERIORE
Call Details Starting Grant (StG), PE9, ERC-2014-STG
Summary "Understanding the dawn of the first galaxies and how their light permeated the early Universe is at the very frontier of modern astrophysical cosmology. Generous resources, including ambitions observational programs, are being devoted to studying these epochs of Cosmic Dawn (CD) and Reionization (EoR). In order to interpret these observations, we propose to build on our widely-used, semi-numeric simulation tool, 21cmFAST, and apply it to observations. Using sub-grid, semi-analytic models, we will incorporate additional physical processes governing the evolution of sources and sinks of ionizing photons. The resulting state-of-the-art simulations will be well poised to interpret topical observations of quasar spectra and the cosmic 21cm signal. They would be both physically-motivated and fast, allowing us to rapidly explore astrophysical parameter space. We will statistically quantify the resulting degeneracies and constraints, providing a robust answer to the question, ""What can we learn from EoR/CD observations?"" As an end goal, these investigations will help us understand when the first generations of galaxies formed, how they drove the EoR, and what are the associated large-scale observational signatures."
Summary
"Understanding the dawn of the first galaxies and how their light permeated the early Universe is at the very frontier of modern astrophysical cosmology. Generous resources, including ambitions observational programs, are being devoted to studying these epochs of Cosmic Dawn (CD) and Reionization (EoR). In order to interpret these observations, we propose to build on our widely-used, semi-numeric simulation tool, 21cmFAST, and apply it to observations. Using sub-grid, semi-analytic models, we will incorporate additional physical processes governing the evolution of sources and sinks of ionizing photons. The resulting state-of-the-art simulations will be well poised to interpret topical observations of quasar spectra and the cosmic 21cm signal. They would be both physically-motivated and fast, allowing us to rapidly explore astrophysical parameter space. We will statistically quantify the resulting degeneracies and constraints, providing a robust answer to the question, ""What can we learn from EoR/CD observations?"" As an end goal, these investigations will help us understand when the first generations of galaxies formed, how they drove the EoR, and what are the associated large-scale observational signatures."
Max ERC Funding
1 468 750 €
Duration
Start date: 2015-05-01, End date: 2021-01-31
Project acronym BIOINOHYB
Project Smart Bioinorganic Hybrids for Nanomedicine
Researcher (PI) Cristiana Di Valentin
Host Institution (HI) UNIVERSITA' DEGLI STUDI DI MILANO-BICOCCA
Call Details Consolidator Grant (CoG), PE5, ERC-2014-CoG
Summary The use of bioinorganic nanohybrids (nanoscaled systems based on an inorganic and a biological component) has already resulted in several innovative medical breakthroughs for drug delivery, therapeutics, imaging, diagnosis and biocompatibility. However, researchers still know relatively little about the structure, function and mechanism of these nanodevices. Theoretical investigations of bioinorganic interfaces are mostly limited to force-field approaches which cannot grasp the details of the physicochemical mechanisms. The BIOINOHYB project proposes to capitalize on recent massively parallelized codes to investigate bioinorganic nanohybrids by advanced quantum chemical methods. This approach will allow to master the chemical and electronic interplay between the bio and the inorganic components in the first part of the project, and the interaction of the hybrid systems with light in the second part. The ultimate goal is to provide the design principles for novel, unconventional assemblies with unprecedented functionalities and strong impact potential in nanomedicine.
More specifically, in this project the traditional metallic nanoparticle will be substituted by emerging semiconducting metal oxide nanostructures with photocatalytic or magnetic properties capable of opening totally new horizons in nanomedicine (e.g. photocatalytic therapy, a new class of contrast agents, magnetically guided drug delivery). Potentially efficient linkers will be screened regarding their ability both to anchor surfaces and to bind biomolecules. Different kinds of biomolecules (from oligopeptides and oligonucleotides to small drugs) will be tethered to the activated surface according to the desired functionality. The key computational challenge, requiring the recourse to more sophisticated methods, will be the investigation of the photo-response to light of the assembled bioinorganic systems, also with specific reference to their labelling with fluorescent markers and contrast agents.
Summary
The use of bioinorganic nanohybrids (nanoscaled systems based on an inorganic and a biological component) has already resulted in several innovative medical breakthroughs for drug delivery, therapeutics, imaging, diagnosis and biocompatibility. However, researchers still know relatively little about the structure, function and mechanism of these nanodevices. Theoretical investigations of bioinorganic interfaces are mostly limited to force-field approaches which cannot grasp the details of the physicochemical mechanisms. The BIOINOHYB project proposes to capitalize on recent massively parallelized codes to investigate bioinorganic nanohybrids by advanced quantum chemical methods. This approach will allow to master the chemical and electronic interplay between the bio and the inorganic components in the first part of the project, and the interaction of the hybrid systems with light in the second part. The ultimate goal is to provide the design principles for novel, unconventional assemblies with unprecedented functionalities and strong impact potential in nanomedicine.
More specifically, in this project the traditional metallic nanoparticle will be substituted by emerging semiconducting metal oxide nanostructures with photocatalytic or magnetic properties capable of opening totally new horizons in nanomedicine (e.g. photocatalytic therapy, a new class of contrast agents, magnetically guided drug delivery). Potentially efficient linkers will be screened regarding their ability both to anchor surfaces and to bind biomolecules. Different kinds of biomolecules (from oligopeptides and oligonucleotides to small drugs) will be tethered to the activated surface according to the desired functionality. The key computational challenge, requiring the recourse to more sophisticated methods, will be the investigation of the photo-response to light of the assembled bioinorganic systems, also with specific reference to their labelling with fluorescent markers and contrast agents.
Max ERC Funding
1 748 125 €
Duration
Start date: 2016-02-01, End date: 2021-01-31
Project acronym COALA
Project Comprehensive molecular characterization of secondary organic aerosol formation in the atmosphere
Researcher (PI) Mikael Ehn
Host Institution (HI) HELSINGIN YLIOPISTO
Call Details Starting Grant (StG), PE10, ERC-2014-STG
Summary Key words: Atmospheric secondary organic aerosol, chemical ionization mass spectrometry
The increase in anthropogenic atmospheric aerosol since the industrial revolution has considerably mitigated the global warming caused by concurrent anthropogenic greenhouse gas emissions. However, the uncertainty in the magnitude of the aerosol climate influence is larger than that of any other man-made climate-perturbing component.
Secondary organic aerosol (SOA) is one of the most prominent aerosol types, yet a detailed mechanistic understanding of its formation process is still lacking. We recently presented the ground-breaking discovery of a new important compound group in our publication in Nature: a prompt and abundant source of extremely low-volatility organic compounds (ELVOC), able to explain the majority of the SOA formed from important atmospheric precursors.
Quantifying the atmospheric role of ELVOCs requires further focused studies and I will start a research group with the main task of providing a comprehensive, quantitative and mechanistic understanding of the formation and evolution of SOA. Our recent discovery of an important missing component of SOA highlights the need for comprehensive chemical characterization of both the gas and particle phase composition.
This project will use state-of-the-art chemical ionization mass spectrometry (CIMS), which was critical also in the detection of the ELVOCs. We will extend the applicability of CIMS techniques and conduct innovative experiments in both laboratory and field settings using a novel suite of instrumentation to achieve the goals set out in this project.
We will provide unprecedented insights into the compounds and mechanisms producing SOA, helping to decrease the uncertainties in assessing the magnitude of aerosol effects on climate. Anthropogenic SOA contributes strongly to air quality deterioration as well and therefore our results will find direct applicability also in this extremely important field.
Summary
Key words: Atmospheric secondary organic aerosol, chemical ionization mass spectrometry
The increase in anthropogenic atmospheric aerosol since the industrial revolution has considerably mitigated the global warming caused by concurrent anthropogenic greenhouse gas emissions. However, the uncertainty in the magnitude of the aerosol climate influence is larger than that of any other man-made climate-perturbing component.
Secondary organic aerosol (SOA) is one of the most prominent aerosol types, yet a detailed mechanistic understanding of its formation process is still lacking. We recently presented the ground-breaking discovery of a new important compound group in our publication in Nature: a prompt and abundant source of extremely low-volatility organic compounds (ELVOC), able to explain the majority of the SOA formed from important atmospheric precursors.
Quantifying the atmospheric role of ELVOCs requires further focused studies and I will start a research group with the main task of providing a comprehensive, quantitative and mechanistic understanding of the formation and evolution of SOA. Our recent discovery of an important missing component of SOA highlights the need for comprehensive chemical characterization of both the gas and particle phase composition.
This project will use state-of-the-art chemical ionization mass spectrometry (CIMS), which was critical also in the detection of the ELVOCs. We will extend the applicability of CIMS techniques and conduct innovative experiments in both laboratory and field settings using a novel suite of instrumentation to achieve the goals set out in this project.
We will provide unprecedented insights into the compounds and mechanisms producing SOA, helping to decrease the uncertainties in assessing the magnitude of aerosol effects on climate. Anthropogenic SOA contributes strongly to air quality deterioration as well and therefore our results will find direct applicability also in this extremely important field.
Max ERC Funding
1 892 221 €
Duration
Start date: 2015-03-01, End date: 2020-02-29
Project acronym COMPUTED
Project Computational User Interface Design
Researcher (PI) Antti Olavi Oulasvirta
Host Institution (HI) AALTO KORKEAKOULUSAATIO SR
Call Details Starting Grant (StG), PE6, ERC-2014-STG
Summary PROBLEM: Despite extensive research on human-computer interaction (HCI), no method exists that guarantees the optimal or even a provably good user interface (UI) design. The prevailing approach relies on heuristics and iteration, which can be costly and even ineffective, because UI design often involves combinatorially hard problems with immense design spaces, multiple objectives and constraints, and complex user behavior.
OBJECTIVES: COMPUTED establishes the foundations for optimizing UI designs. A design can be automatically optimized to given objectives and constraints by using combinatorial optimization methods that deploy predictive models of user behavior as objective functions. Although previous work has shown some improvements to usability, the scope has been restricted to keyboards and widgets. COMPUTED researches methods that can vastly expand the scope of optimizable problems. First, algorithmic support is developed for acquiring objective functions that cover the main human factors in a given HCI task. Second, formal analysis of decision problems in UI design allows combating a broader range of design tasks with efficient and appropriate optimization methods. Third, a novel interactive UI optimization paradigm for UI designers promotes fast convergence to good results even in the face of uncertainty and incomplete knowledge.
IMPACT: Combinatorial UI optimization offers a strong complement to the prevailing design approaches. Because the structured search process has a high chance of finding good solutions, optimization could improve the quality of interfaces used in everyday life. Optimization can also increase cost-efficiency, because reference to optimality can eliminate fruitless iteration. Moreover, because no preknowledge of UI design is required, even novices will be able to design great UIs. Even in “messy,” less well-defined problems, it may support designers by allowing them to delegate the solving of well-known sub-problems.
Summary
PROBLEM: Despite extensive research on human-computer interaction (HCI), no method exists that guarantees the optimal or even a provably good user interface (UI) design. The prevailing approach relies on heuristics and iteration, which can be costly and even ineffective, because UI design often involves combinatorially hard problems with immense design spaces, multiple objectives and constraints, and complex user behavior.
OBJECTIVES: COMPUTED establishes the foundations for optimizing UI designs. A design can be automatically optimized to given objectives and constraints by using combinatorial optimization methods that deploy predictive models of user behavior as objective functions. Although previous work has shown some improvements to usability, the scope has been restricted to keyboards and widgets. COMPUTED researches methods that can vastly expand the scope of optimizable problems. First, algorithmic support is developed for acquiring objective functions that cover the main human factors in a given HCI task. Second, formal analysis of decision problems in UI design allows combating a broader range of design tasks with efficient and appropriate optimization methods. Third, a novel interactive UI optimization paradigm for UI designers promotes fast convergence to good results even in the face of uncertainty and incomplete knowledge.
IMPACT: Combinatorial UI optimization offers a strong complement to the prevailing design approaches. Because the structured search process has a high chance of finding good solutions, optimization could improve the quality of interfaces used in everyday life. Optimization can also increase cost-efficiency, because reference to optimality can eliminate fruitless iteration. Moreover, because no preknowledge of UI design is required, even novices will be able to design great UIs. Even in “messy,” less well-defined problems, it may support designers by allowing them to delegate the solving of well-known sub-problems.
Max ERC Funding
1 499 790 €
Duration
Start date: 2015-04-01, End date: 2020-03-31
Project acronym ECLAIR
Project Emulation of subgrid-scale aerosol-cloud interactions in climate models: towards a realistic representation of aerosol indirect effect
Researcher (PI) Sari Hannele Korhonen
Host Institution (HI) ILMATIETEEN LAITOS
Call Details Consolidator Grant (CoG), PE10, ERC-2014-CoG
Summary I propose to develop an innovative interdisciplinary model framework to refine the estimate of aerosol indirect effect (i.e. influence of atmospheric aerosol particles on cloud properties), which remains the single largest uncertainty in the current drivers of climate change.
A major reason for this uncertainty is that current climate models are unable to resolve the spatial scales for aerosol-cloud interactions. We will resolve this scale problem by using statistical emulation to build computationally fast surrogate models (i.e. emulators) that can reproduce the effective output of a detailed high-resolution cloud-resolving model. By incorporating these emulators into a state-of-the-science climate model, we will for the first time achieve the accuracy of a limited-area high-resolution model on a global scale with negligible computational cost.
The main scientific outcome of the project will be a highly refined and physically sound estimate of the aerosol indirect effect that enables more accurate projections of future climate change, and thus has high societal relevance. In addition, the developed emulators will help to quantify how the remaining uncertainties in aerosol properties propagate to predictions of aerosol indirect effect. This information will be used, together with an extensive set of remote sensing, in-situ and laboratory data from our collaborators, to improve the process-level understanding of aerosol-cloud interactions.
The comprehensive uncertainty analyses performed during this project will be highly valuable for future research efforts as they point to processes and interactions that most urgently need to be experimentally constrained. Furthermore, our pioneering model framework that incorporates emulators to represent subgrid- scale processes will open up completely new research opportunities also in other fields that deal with heterogeneous spatial scales.
Summary
I propose to develop an innovative interdisciplinary model framework to refine the estimate of aerosol indirect effect (i.e. influence of atmospheric aerosol particles on cloud properties), which remains the single largest uncertainty in the current drivers of climate change.
A major reason for this uncertainty is that current climate models are unable to resolve the spatial scales for aerosol-cloud interactions. We will resolve this scale problem by using statistical emulation to build computationally fast surrogate models (i.e. emulators) that can reproduce the effective output of a detailed high-resolution cloud-resolving model. By incorporating these emulators into a state-of-the-science climate model, we will for the first time achieve the accuracy of a limited-area high-resolution model on a global scale with negligible computational cost.
The main scientific outcome of the project will be a highly refined and physically sound estimate of the aerosol indirect effect that enables more accurate projections of future climate change, and thus has high societal relevance. In addition, the developed emulators will help to quantify how the remaining uncertainties in aerosol properties propagate to predictions of aerosol indirect effect. This information will be used, together with an extensive set of remote sensing, in-situ and laboratory data from our collaborators, to improve the process-level understanding of aerosol-cloud interactions.
The comprehensive uncertainty analyses performed during this project will be highly valuable for future research efforts as they point to processes and interactions that most urgently need to be experimentally constrained. Furthermore, our pioneering model framework that incorporates emulators to represent subgrid- scale processes will open up completely new research opportunities also in other fields that deal with heterogeneous spatial scales.
Max ERC Funding
1 999 511 €
Duration
Start date: 2015-09-01, End date: 2020-08-31
Project acronym ENSURE
Project Exploring the New Science and engineering unveiled by Ultraintense ultrashort Radiation interaction with mattEr
Researcher (PI) Matteo Passoni
Host Institution (HI) POLITECNICO DI MILANO
Call Details Consolidator Grant (CoG), PE8, ERC-2014-CoG
Summary With the ENSURE project I aim at attaining ground-breaking results in the field of superintense laser-driven ion acceleration, proposing a multidisciplinary research program in which theoretical, numerical and experimental research will be coherently developed in a team integrating in an unprecedented way advanced expertise from materials engineering and nanotechnology, laser-plasma physics, computational science. The aim will be to bring this topic from the realm of fundamental basic science into a subject having realistic engineering applications.
The discovery in 2000 of brilliant, multi-MeV, collimated ion sources from targets irradiated by intense laser pulses stimulated great interest worldwide, due to the ultra-compact spatial scale of the accelerator and ion beam properties. The laser-target system provides unique appealing features to fundamental physics which can be studied in a small lab. At the same time, laser-ion beams could have future potential in many technological areas. This is boosting the development of new labs and facilities all over Europe, but to support these efforts, crucial challenges need to be faced to make these applications a reality.
The goals of ENSURE are: i) design and production of nanoengineered targets, with properties tailored to achieve optimized ion acceleration regimes. This will be pursued exploiting advanced techniques of material science & nanotechnology ii) design of laser-ion beams for novel, key applications in nuclear and materials engineering iii) realization of engineering-oriented ion acceleration experiments, in advanced facilities iv) synergic development of all the required theoretical support for i,ii,iii).
The results of the project can determine a unique impact in the research on laser-driven ion acceleration in Europe, providing new directions to support the attainment, in the next future, of concrete applications of great societal relevance, in medical, energy and materials areas.
Summary
With the ENSURE project I aim at attaining ground-breaking results in the field of superintense laser-driven ion acceleration, proposing a multidisciplinary research program in which theoretical, numerical and experimental research will be coherently developed in a team integrating in an unprecedented way advanced expertise from materials engineering and nanotechnology, laser-plasma physics, computational science. The aim will be to bring this topic from the realm of fundamental basic science into a subject having realistic engineering applications.
The discovery in 2000 of brilliant, multi-MeV, collimated ion sources from targets irradiated by intense laser pulses stimulated great interest worldwide, due to the ultra-compact spatial scale of the accelerator and ion beam properties. The laser-target system provides unique appealing features to fundamental physics which can be studied in a small lab. At the same time, laser-ion beams could have future potential in many technological areas. This is boosting the development of new labs and facilities all over Europe, but to support these efforts, crucial challenges need to be faced to make these applications a reality.
The goals of ENSURE are: i) design and production of nanoengineered targets, with properties tailored to achieve optimized ion acceleration regimes. This will be pursued exploiting advanced techniques of material science & nanotechnology ii) design of laser-ion beams for novel, key applications in nuclear and materials engineering iii) realization of engineering-oriented ion acceleration experiments, in advanced facilities iv) synergic development of all the required theoretical support for i,ii,iii).
The results of the project can determine a unique impact in the research on laser-driven ion acceleration in Europe, providing new directions to support the attainment, in the next future, of concrete applications of great societal relevance, in medical, energy and materials areas.
Max ERC Funding
1 887 500 €
Duration
Start date: 2015-09-01, End date: 2020-08-31
Project acronym EVERYSOUND
Project Computational Analysis of Everyday Soundscapes
Researcher (PI) Tuomas Oskari Virtanen
Host Institution (HI) TAMPEREEN KORKEAKOULUSAATIO SR
Call Details Starting Grant (StG), PE6, ERC-2014-STG
Summary Sounds carry a large amount of information about our everyday environment and physical events that take place in it. For example, when a car is passing by, one can perceive the approximate size and speed of the car. Sound can easily and unobtrusively be captured e.g. by mobile phones and transmitted further – for example, tens of hours of audio is uploaded to the internet every minute e.g. in the form of YouTube videos. However, today's technology is not able to recognize individual sound sources in realistic soundscapes, where multiple sounds are present, often simultaneously, and distorted by the environment.
The ground-breaking objective of EVERYSOUND is to develop computational methods which will automatically provide high-level descriptions of environmental sounds in realistic everyday soundscapes such as street, park, home, etc. This requires developing several novel methods, including joint source separation and robust pattern classification algorithms to reliably recognize multiple overlapping sounds, and a hierarchical multilayer taxonomy to accurately categorize everyday sounds. The methods are based on the applicant's internationally recognized and awarded expertise on source separation and robust pattern recognition in speech and music processing, which will allow now tackling the new and challenging research area of everyday sound recognition.
The results of EVERYSOUND will enable searching for multimedia based on its audio content, which is not possible with today's technology. It will allow mobile devices, robots, and intelligent monitoring systems to recognize activities in their environments using acoustic information. Producing automatically descriptions of vast quantities of audio will give new tools for geographical, social, cultural, and biological studies to analyze sounds related to human, animal, and natural activity in urban and rural areas, as well as multimedia in social networks.
Summary
Sounds carry a large amount of information about our everyday environment and physical events that take place in it. For example, when a car is passing by, one can perceive the approximate size and speed of the car. Sound can easily and unobtrusively be captured e.g. by mobile phones and transmitted further – for example, tens of hours of audio is uploaded to the internet every minute e.g. in the form of YouTube videos. However, today's technology is not able to recognize individual sound sources in realistic soundscapes, where multiple sounds are present, often simultaneously, and distorted by the environment.
The ground-breaking objective of EVERYSOUND is to develop computational methods which will automatically provide high-level descriptions of environmental sounds in realistic everyday soundscapes such as street, park, home, etc. This requires developing several novel methods, including joint source separation and robust pattern classification algorithms to reliably recognize multiple overlapping sounds, and a hierarchical multilayer taxonomy to accurately categorize everyday sounds. The methods are based on the applicant's internationally recognized and awarded expertise on source separation and robust pattern recognition in speech and music processing, which will allow now tackling the new and challenging research area of everyday sound recognition.
The results of EVERYSOUND will enable searching for multimedia based on its audio content, which is not possible with today's technology. It will allow mobile devices, robots, and intelligent monitoring systems to recognize activities in their environments using acoustic information. Producing automatically descriptions of vast quantities of audio will give new tools for geographical, social, cultural, and biological studies to analyze sounds related to human, animal, and natural activity in urban and rural areas, as well as multimedia in social networks.
Max ERC Funding
1 500 000 €
Duration
Start date: 2015-05-01, End date: 2020-04-30
Project acronym EXPLORINGMATTER
Project Exploring Matter with Precision Charm and Beauty Production Measurements in Heavy Nuclei Collisions at LHCb
Researcher (PI) Giulia Manca
Host Institution (HI) UNIVERSITA DEGLI STUDI DI CAGLIARI
Call Details Consolidator Grant (CoG), PE2, ERC-2014-CoG
Summary Collisions of ultra relativistic nuclei are a tool to reach huge energy densities and to form a new state of matter called Quark-Gluon Plasma (QGP), where quarks and gluons can move freely. A number of experiments have studied the possible formation of QGP, but the behaviour of heavy particles such as charm (c) and beauty (b) quarks when they traverse this medium is largely unknown and is the most powerful tool to prove the creation of the QGP and to characterise it. I will perform novel measurements using the LHCb detector at CERN, which covers an unique kinematic region, essential for a full understanding of QGP and nuclear matter in general. LHCb has been optimised to perform c and b quark physics measurements in proton-proton collisions. In EXPLORINGMATTER I propose to extend the LHCb programme to collect for the first time data in heavy ion collisions. Three experimental scenarios are foreseen: (1) Collisions of protons, benchmark to understand the behaviour of the c and b particles in other more complicated environments, as well as providing the final answers to the mechanism of heavy quarkonium production; (2) Collisions of protons with heavy nuclei, where cold nuclear matter effects in high-energy collisions can be studied in detail to understand lead nuclei collisions, where QGP is expected to be formed. (3) Collisions of heavy nuclei, pursued (a) by analysing heavy nuclei interactions through a dedicated setup in which gas will be injected in the LHCb interaction region, reaching energy densities typical of dedicated fixed target experiments; (b) by collecting heavy ion collision data at the LHC. This second setup, which has not been envisaged by LHCb up to now will revolutionise the measurements in this area thanks to the LHCb coverage and precision not achievable by any other experiment. My measurements will furthermore indicate the route to new experiments that could be designed on the basis of these findings.
Summary
Collisions of ultra relativistic nuclei are a tool to reach huge energy densities and to form a new state of matter called Quark-Gluon Plasma (QGP), where quarks and gluons can move freely. A number of experiments have studied the possible formation of QGP, but the behaviour of heavy particles such as charm (c) and beauty (b) quarks when they traverse this medium is largely unknown and is the most powerful tool to prove the creation of the QGP and to characterise it. I will perform novel measurements using the LHCb detector at CERN, which covers an unique kinematic region, essential for a full understanding of QGP and nuclear matter in general. LHCb has been optimised to perform c and b quark physics measurements in proton-proton collisions. In EXPLORINGMATTER I propose to extend the LHCb programme to collect for the first time data in heavy ion collisions. Three experimental scenarios are foreseen: (1) Collisions of protons, benchmark to understand the behaviour of the c and b particles in other more complicated environments, as well as providing the final answers to the mechanism of heavy quarkonium production; (2) Collisions of protons with heavy nuclei, where cold nuclear matter effects in high-energy collisions can be studied in detail to understand lead nuclei collisions, where QGP is expected to be formed. (3) Collisions of heavy nuclei, pursued (a) by analysing heavy nuclei interactions through a dedicated setup in which gas will be injected in the LHCb interaction region, reaching energy densities typical of dedicated fixed target experiments; (b) by collecting heavy ion collision data at the LHC. This second setup, which has not been envisaged by LHCb up to now will revolutionise the measurements in this area thanks to the LHCb coverage and precision not achievable by any other experiment. My measurements will furthermore indicate the route to new experiments that could be designed on the basis of these findings.
Max ERC Funding
1 849 957 €
Duration
Start date: 2015-04-01, End date: 2020-03-31
Project acronym HBQFTNCER
Project Holomorphic Blocks in Quantum Field Theory: New Constructions of Exact Results
Researcher (PI) Sara Pasquetti
Host Institution (HI) UNIVERSITA' DEGLI STUDI DI MILANO-BICOCCA
Call Details Starting Grant (StG), PE2, ERC-2014-STG
Summary A central challenge in theoretical physics is to develop non-perturbative or exact methods to describe quantitatively the dynamics of strongly coupled quantum fields. This proposal aims to establish new exact methods for the study of supersymmetric quantum field theories thereby unveiling new integrable structures and fostering new correspondences and dualities. We will develop a new cut-and-sew formalism to compute partition functions and expectation values of observables of supersymmetric gauge theories on compact manifolds through the gluing of a fundamental set of building blocks, the holomorphic blocks. The decomposition of partition functions into holomorphic blocks corresponds to
the geometric decomposition of compact manifolds into standard simpler pieces. Similarly the gluing rules for the holomorphic blocks correspond to the geometric gluing rules. The key insight required to exploit the holomorphic block formalism is the deep connection between supersymmetric gauge theories and low dimensional exactly solvable systems such as 2d CFTs, TQFTs and spin chains. Two and four dimensional holomorphic blocks can be reinterpreted as conformal blocks in Liouville theory through an established correspondence between supersymmetric gauge theories and Liouville theory. We will provide a similar realisation of three and five dimensional holomorphic blocks in a new theory,
a q-deformed version of Liouville theory where the Virasoro algebra is replaced by the q-deformed Virasoro algebra.
We will develop this theory classifying the symmetries of correlation functions. These symmetries will be realised as gauge theory dualities, while the language of the q-deformed Liouville theory will become a new powerful tool to investigate supersymmetric gauge theories.
Summary
A central challenge in theoretical physics is to develop non-perturbative or exact methods to describe quantitatively the dynamics of strongly coupled quantum fields. This proposal aims to establish new exact methods for the study of supersymmetric quantum field theories thereby unveiling new integrable structures and fostering new correspondences and dualities. We will develop a new cut-and-sew formalism to compute partition functions and expectation values of observables of supersymmetric gauge theories on compact manifolds through the gluing of a fundamental set of building blocks, the holomorphic blocks. The decomposition of partition functions into holomorphic blocks corresponds to
the geometric decomposition of compact manifolds into standard simpler pieces. Similarly the gluing rules for the holomorphic blocks correspond to the geometric gluing rules. The key insight required to exploit the holomorphic block formalism is the deep connection between supersymmetric gauge theories and low dimensional exactly solvable systems such as 2d CFTs, TQFTs and spin chains. Two and four dimensional holomorphic blocks can be reinterpreted as conformal blocks in Liouville theory through an established correspondence between supersymmetric gauge theories and Liouville theory. We will provide a similar realisation of three and five dimensional holomorphic blocks in a new theory,
a q-deformed version of Liouville theory where the Virasoro algebra is replaced by the q-deformed Virasoro algebra.
We will develop this theory classifying the symmetries of correlation functions. These symmetries will be realised as gauge theory dualities, while the language of the q-deformed Liouville theory will become a new powerful tool to investigate supersymmetric gauge theories.
Max ERC Funding
1 287 088 €
Duration
Start date: 2015-09-01, End date: 2020-08-31
