Project acronym 1st-principles-discs
Project A First Principles Approach to Accretion Discs
Researcher (PI) Martin Elias Pessah
Host Institution (HI) KOBENHAVNS UNIVERSITET
Call Details Starting Grant (StG), PE9, ERC-2012-StG_20111012
Summary Most celestial bodies, from planets, to stars, to black holes; gain mass during their lives by means of an accretion disc. Understanding the physical processes that determine the rate at which matter accretes and energy is radiated in these discs is vital for unraveling the formation, evolution, and fate of almost every type of object in the Universe. Despite the fact that magnetic fields have been known to be crucial in accretion discs since the early 90’s, the majority of astrophysical questions that depend on the details of how disc accretion proceeds are still being addressed using the “standard” accretion disc model (developed in the early 70’s), where magnetic fields do not play an explicit role. This has prevented us from fully exploring the astrophysical consequences and observational signatures of realistic accretion disc models, leading to a profound disconnect between observations (usually interpreted with the standard paradigm) and modern accretion disc theory and numerical simulations (where magnetic turbulence is crucial). The goal of this proposal is to use several complementary approaches in order to finally move beyond the standard paradigm. This program has two main objectives: 1) Develop the theoretical framework to incorporate magnetic fields, and the ensuing turbulence, into self-consistent accretion disc models, and investigate their observational implications. 2) Investigate transport and radiative processes in collision-less disc regions, where non-thermal radiation originates, by employing a kinetic particle description of the plasma. In order to achieve these goals, we will use, and build upon, state-of-the-art magnetohydrodynamic and particle-in-cell codes in conjunction with theoretical modeling. This framework will make it possible to address fundamental questions on stellar and planet formation, binary systems with a compact object, and supermassive black hole feedback in a way that has no counterpart within the standard paradigm.
Summary
Most celestial bodies, from planets, to stars, to black holes; gain mass during their lives by means of an accretion disc. Understanding the physical processes that determine the rate at which matter accretes and energy is radiated in these discs is vital for unraveling the formation, evolution, and fate of almost every type of object in the Universe. Despite the fact that magnetic fields have been known to be crucial in accretion discs since the early 90’s, the majority of astrophysical questions that depend on the details of how disc accretion proceeds are still being addressed using the “standard” accretion disc model (developed in the early 70’s), where magnetic fields do not play an explicit role. This has prevented us from fully exploring the astrophysical consequences and observational signatures of realistic accretion disc models, leading to a profound disconnect between observations (usually interpreted with the standard paradigm) and modern accretion disc theory and numerical simulations (where magnetic turbulence is crucial). The goal of this proposal is to use several complementary approaches in order to finally move beyond the standard paradigm. This program has two main objectives: 1) Develop the theoretical framework to incorporate magnetic fields, and the ensuing turbulence, into self-consistent accretion disc models, and investigate their observational implications. 2) Investigate transport and radiative processes in collision-less disc regions, where non-thermal radiation originates, by employing a kinetic particle description of the plasma. In order to achieve these goals, we will use, and build upon, state-of-the-art magnetohydrodynamic and particle-in-cell codes in conjunction with theoretical modeling. This framework will make it possible to address fundamental questions on stellar and planet formation, binary systems with a compact object, and supermassive black hole feedback in a way that has no counterpart within the standard paradigm.
Max ERC Funding
1 793 697 €
Duration
Start date: 2013-02-01, End date: 2018-01-31
Project acronym ADAPT
Project Origins and factors governing adaptation: Insights from experimental evolution and population genomic data
Researcher (PI) Thomas, Martin Jean Bataillon
Host Institution (HI) AARHUS UNIVERSITET
Call Details Starting Grant (StG), LS8, ERC-2012-StG_20111109
Summary "I propose a systematic study of the type of genetic variation enabling adaptation and factors that limit rates of adaptation in natural populations. New methods will be developed for analysing data from experimental evolution and population genomics. The methods will be applied to state of the art data from both fields. Adaptation is generated by natural selection sieving through heritable variation. Examples of adaptation are available from the fossil record and from extant populations. Genomic studies have supplied many instances of genomic regions exhibiting footprint of natural selection favouring new variants. Despite ample proof that adaptation happens, we know little about beneficial mutations– the raw stuff enabling adaptation. Is adaptation mediated by genetic variation pre-existing in the population, or by variation supplied de novo through mutations? We know even less about what factors limit rates of adaptation. Answers to these questions are crucial for Evolutionary Biology, but also for believable quantifications of the evolutionary potential of populations. Population genetic theory makes predictions and allows inference from the patterns of polymorphism within species and divergence between species. Yet models specifying the fitness effects of mutations are often missing. Fitness landscape models will be mobilized to fill this gap and develop methods for inferring the distribution of fitness effects and factors governing rates of adaptation. Insights into the processes underlying adaptation will thus be gained from experimental evolution and population genomics data. The applicability of insights gained from experimental evolution to comprehend adaptation in nature will be scrutinized. We will unite two very different approaches for studying adaptation. The project will boost our understanding of how selection shapes genomes and open the way for further quantitative tests of theories of adaptation."
Summary
"I propose a systematic study of the type of genetic variation enabling adaptation and factors that limit rates of adaptation in natural populations. New methods will be developed for analysing data from experimental evolution and population genomics. The methods will be applied to state of the art data from both fields. Adaptation is generated by natural selection sieving through heritable variation. Examples of adaptation are available from the fossil record and from extant populations. Genomic studies have supplied many instances of genomic regions exhibiting footprint of natural selection favouring new variants. Despite ample proof that adaptation happens, we know little about beneficial mutations– the raw stuff enabling adaptation. Is adaptation mediated by genetic variation pre-existing in the population, or by variation supplied de novo through mutations? We know even less about what factors limit rates of adaptation. Answers to these questions are crucial for Evolutionary Biology, but also for believable quantifications of the evolutionary potential of populations. Population genetic theory makes predictions and allows inference from the patterns of polymorphism within species and divergence between species. Yet models specifying the fitness effects of mutations are often missing. Fitness landscape models will be mobilized to fill this gap and develop methods for inferring the distribution of fitness effects and factors governing rates of adaptation. Insights into the processes underlying adaptation will thus be gained from experimental evolution and population genomics data. The applicability of insights gained from experimental evolution to comprehend adaptation in nature will be scrutinized. We will unite two very different approaches for studying adaptation. The project will boost our understanding of how selection shapes genomes and open the way for further quantitative tests of theories of adaptation."
Max ERC Funding
1 159 857 €
Duration
Start date: 2013-04-01, End date: 2018-03-31
Project acronym AEROSOL
Project Astrochemistry of old stars:direct probing of unique chemical laboratories
Researcher (PI) Leen Katrien Els Decin
Host Institution (HI) KATHOLIEKE UNIVERSITEIT LEUVEN
Call Details Consolidator Grant (CoG), PE9, ERC-2014-CoG
Summary The gas and dust in the interstellar medium (ISM) drive the chemical evolution of galaxies, the formation of stars and planets, and the synthesis of complex prebiotic molecules. The prime birth places for this interstellar material are the winds of evolved (super)giant stars. These winds are unique chemical laboratories, in which a large variety of gas and dust species radially expand away from the star.
Recent progress on the observations of these winds has been impressive thanks to Herschel and ALMA. The next challenge is to unravel the wealth of chemical information contained in these data. This is an ambitious task since (1) a plethora of physical and chemical processes interact in a complex way, (2) laboratory data to interpret these interactions are lacking, and (3) theoretical tools to analyse the data do not meet current needs.
To boost the knowledge of the physics and chemistry characterizing these winds, I propose a world-leading multi-disciplinary project combining (1) high-quality data, (2) novel theoretical wind models, and (3) targeted laboratory experiments. The aim is to pinpoint the dominant chemical pathways, unravel the transition from gas-phase to dust species, elucidate the role of clumps on the overall wind structure, and study the reciprocal effect between various dynamical and chemical phenomena.
Now is the right time for this ambitious project thanks to the availability of (1) high-quality multi-wavelength data, including ALMA and Herschel data of the PI, (2) supercomputers enabling a homogeneous analysis of the data using sophisticated theoretical wind models, and (3) novel laboratory equipment to measure the gas-phase reaction rates of key species.
This project will have far-reaching impact on (1) the field of evolved stars, (2) the understanding of the chemical lifecycle of the ISM, (3) chemical studies of dynamically more complex systems, such as exoplanets, protostars, supernovae etc., and (4) it will guide new instrument development.
Summary
The gas and dust in the interstellar medium (ISM) drive the chemical evolution of galaxies, the formation of stars and planets, and the synthesis of complex prebiotic molecules. The prime birth places for this interstellar material are the winds of evolved (super)giant stars. These winds are unique chemical laboratories, in which a large variety of gas and dust species radially expand away from the star.
Recent progress on the observations of these winds has been impressive thanks to Herschel and ALMA. The next challenge is to unravel the wealth of chemical information contained in these data. This is an ambitious task since (1) a plethora of physical and chemical processes interact in a complex way, (2) laboratory data to interpret these interactions are lacking, and (3) theoretical tools to analyse the data do not meet current needs.
To boost the knowledge of the physics and chemistry characterizing these winds, I propose a world-leading multi-disciplinary project combining (1) high-quality data, (2) novel theoretical wind models, and (3) targeted laboratory experiments. The aim is to pinpoint the dominant chemical pathways, unravel the transition from gas-phase to dust species, elucidate the role of clumps on the overall wind structure, and study the reciprocal effect between various dynamical and chemical phenomena.
Now is the right time for this ambitious project thanks to the availability of (1) high-quality multi-wavelength data, including ALMA and Herschel data of the PI, (2) supercomputers enabling a homogeneous analysis of the data using sophisticated theoretical wind models, and (3) novel laboratory equipment to measure the gas-phase reaction rates of key species.
This project will have far-reaching impact on (1) the field of evolved stars, (2) the understanding of the chemical lifecycle of the ISM, (3) chemical studies of dynamically more complex systems, such as exoplanets, protostars, supernovae etc., and (4) it will guide new instrument development.
Max ERC Funding
2 605 897 €
Duration
Start date: 2016-01-01, End date: 2020-12-31
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 ANTS
Project Attine ANT SymbiomeS
Researcher (PI) Jacobus Jan Boomsma
Host Institution (HI) KOBENHAVNS UNIVERSITET
Call Details Advanced Grant (AdG), LS8, ERC-2012-ADG_20120314
Summary "The attine fungus-growing ants are prime models for understanding phenotypic adaptations in social evolution and symbiosis. The mutualism has many hallmarks of advanced cooperation in its mating system commitments and functional complementarity between multiple symbiont partners, but potential conflicts between sexes and castes over reproductive priorities, and between hosts and symbionts over symbiont mixing have also been documented. With collaborators at BGI-Shenzhen and the Smithsonian Institution my group has obtained six reference genomes representing all genus-level branches of the higher attine ants and a lower attine outgroup. With collaborators in Denmark and Australia we have pioneered proteomic approaches to understand the preservation of sperm viability in spite of sperm competition and the enzymatic decomposition of plant substrates that the ants use to make their fungus gardens grow.
Here, I propose an integrated study focusing on four major areas of attine ant biology that are particularly inviting for in depth molecular approaches: 1. The protein-level networks that secure life-time (up to 20 years) sperm storage in specialized ant-queen organs and the genetic mechanisms that shape and adjust these “sexual symbiome” networks. 2. The ant-fungal symbiome, i.e. the dynamics of fungal enzyme production for plant substrate degradation and the redistribution of these enzymes in fungus gardens through fecal deposition after they are ingested but not digested by the ants. 3. The microbial symbiome of ant guts and other tissues with obligate bacterial mutualists, of which we have identified some and will characterize a wider collection across the different branches of the attine ant phylogeny. 4. The genome-wide frequency of genomic imprinting and the significance of these imprints for the expression of caste phenotypes and the regulation of potential reproductive conflicts."
Summary
"The attine fungus-growing ants are prime models for understanding phenotypic adaptations in social evolution and symbiosis. The mutualism has many hallmarks of advanced cooperation in its mating system commitments and functional complementarity between multiple symbiont partners, but potential conflicts between sexes and castes over reproductive priorities, and between hosts and symbionts over symbiont mixing have also been documented. With collaborators at BGI-Shenzhen and the Smithsonian Institution my group has obtained six reference genomes representing all genus-level branches of the higher attine ants and a lower attine outgroup. With collaborators in Denmark and Australia we have pioneered proteomic approaches to understand the preservation of sperm viability in spite of sperm competition and the enzymatic decomposition of plant substrates that the ants use to make their fungus gardens grow.
Here, I propose an integrated study focusing on four major areas of attine ant biology that are particularly inviting for in depth molecular approaches: 1. The protein-level networks that secure life-time (up to 20 years) sperm storage in specialized ant-queen organs and the genetic mechanisms that shape and adjust these “sexual symbiome” networks. 2. The ant-fungal symbiome, i.e. the dynamics of fungal enzyme production for plant substrate degradation and the redistribution of these enzymes in fungus gardens through fecal deposition after they are ingested but not digested by the ants. 3. The microbial symbiome of ant guts and other tissues with obligate bacterial mutualists, of which we have identified some and will characterize a wider collection across the different branches of the attine ant phylogeny. 4. The genome-wide frequency of genomic imprinting and the significance of these imprints for the expression of caste phenotypes and the regulation of potential reproductive conflicts."
Max ERC Funding
2 290 102 €
Duration
Start date: 2013-05-01, End date: 2018-04-30
Project acronym ANTSolve
Project A multi-scale perspective into collective problem solving in ants
Researcher (PI) Ofer Feinerman
Host Institution (HI) WEIZMANN INSTITUTE OF SCIENCE
Call Details Consolidator Grant (CoG), LS8, ERC-2017-COG
Summary Cognition improves an animal’s ability to tune its responses to environmental conditions. In group living animals, communication works to form a collective cognition that expands the group’s abilities beyond those of individuals. Despite much research, to date, there is little understanding of how collective cognition emerges within biological ensembles. A major obstacle towards such an understanding is the rarity of comprehensive multi-scale empirical data of these complex systems.
We have demonstrated cooperative load transport by ants to be an ideal system to study the emergence of cognition. Similar to other complex cognitive systems, the ants employ high levels of emergence to achieve efficient problem solving over a large range of scenarios. Unique to this system, is its extreme amenability to experimental measurement and manipulation where internal conflicts map to forces, abstract decision making is reflected in direction changes, and future planning manifested in pheromone trails. This allows for an unprecedentedly detailed, multi-scale empirical description of the moment-to-moment unfolding of sophisticated cognitive processes.
This proposal is aimed at materializing this potential to the full. We will examine the ants’ problem solving capabilities under a variety of environmental challenges. We will expose the underpinning rules on the different organizational scales, the flow of information between them, and their relative contributions to collective performance. This will allow for empirical comparisons between the ‘group’ and the ‘sum of its parts’ from which we will quantify the level of emergence in this system. Using the language of information, we will map the boundaries of this group’s collective cognition and relate them to the range of habitable environmental niches. Moreover, we will generalize these insights to formulate a new paradigm of emergence in biological groups opening new horizons in the study of cognitive processes in general.
Summary
Cognition improves an animal’s ability to tune its responses to environmental conditions. In group living animals, communication works to form a collective cognition that expands the group’s abilities beyond those of individuals. Despite much research, to date, there is little understanding of how collective cognition emerges within biological ensembles. A major obstacle towards such an understanding is the rarity of comprehensive multi-scale empirical data of these complex systems.
We have demonstrated cooperative load transport by ants to be an ideal system to study the emergence of cognition. Similar to other complex cognitive systems, the ants employ high levels of emergence to achieve efficient problem solving over a large range of scenarios. Unique to this system, is its extreme amenability to experimental measurement and manipulation where internal conflicts map to forces, abstract decision making is reflected in direction changes, and future planning manifested in pheromone trails. This allows for an unprecedentedly detailed, multi-scale empirical description of the moment-to-moment unfolding of sophisticated cognitive processes.
This proposal is aimed at materializing this potential to the full. We will examine the ants’ problem solving capabilities under a variety of environmental challenges. We will expose the underpinning rules on the different organizational scales, the flow of information between them, and their relative contributions to collective performance. This will allow for empirical comparisons between the ‘group’ and the ‘sum of its parts’ from which we will quantify the level of emergence in this system. Using the language of information, we will map the boundaries of this group’s collective cognition and relate them to the range of habitable environmental niches. Moreover, we will generalize these insights to formulate a new paradigm of emergence in biological groups opening new horizons in the study of cognitive processes in general.
Max ERC Funding
2 000 000 €
Duration
Start date: 2018-06-01, End date: 2023-05-31
Project acronym ARISE
Project The Ecology of Antibiotic Resistance
Researcher (PI) Roy Kishony
Host Institution (HI) TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY
Call Details Starting Grant (StG), LS8, ERC-2011-StG_20101109
Summary Main goal. We aim to understand the puzzling coexistence of antibiotic-resistant and antibiotic-sensitive species in natural soil environments, using novel quantitative experimental techniques and mathematical analysis. The ecological insights gained will be translated into novel treatment strategies for combating antibiotic resistance.
Background. Microbial soil ecosystems comprise communities of species interacting through copious secretion of antibiotics and other chemicals. Defence mechanisms, i.e. resistance to antibiotics, are ubiquitous in these wild communities. However, in sharp contrast to clinical settings, resistance does not take over the population. Our hypothesis is that the ecological setting provides natural mechanisms that keep antibiotic resistance in check. We are motivated by our recent finding that specific antibiotic combinations can generate selection against resistance and that soil microbial strains produce compounds that directly target antibiotic resistant mechanisms.
Approaches. We will: (1) Isolate natural bacterial species from individual grains of soil, characterize their ability to produce and resist antibiotics and identify the spatial scale for correlations between resistance and production. (2) Systematically measure interactions between species and identify interaction patterns enriched in co-existing communities derived from the same grain of soil. (3) Introducing fluorescently-labelled resistant and sensitive strains into natural soil, we will measure the fitness cost and benefit of antibiotic resistance in situ and identify natural compounds that select against resistance. (4) Test whether such “selection-inverting” compounds can slow evolution of resistance to antibiotics in continuous culture experiments.
Conclusions. These findings will provide insights into the ecological processes that keep antibiotic resistance in check, and will suggest novel antimicrobial treatment strategies.
Summary
Main goal. We aim to understand the puzzling coexistence of antibiotic-resistant and antibiotic-sensitive species in natural soil environments, using novel quantitative experimental techniques and mathematical analysis. The ecological insights gained will be translated into novel treatment strategies for combating antibiotic resistance.
Background. Microbial soil ecosystems comprise communities of species interacting through copious secretion of antibiotics and other chemicals. Defence mechanisms, i.e. resistance to antibiotics, are ubiquitous in these wild communities. However, in sharp contrast to clinical settings, resistance does not take over the population. Our hypothesis is that the ecological setting provides natural mechanisms that keep antibiotic resistance in check. We are motivated by our recent finding that specific antibiotic combinations can generate selection against resistance and that soil microbial strains produce compounds that directly target antibiotic resistant mechanisms.
Approaches. We will: (1) Isolate natural bacterial species from individual grains of soil, characterize their ability to produce and resist antibiotics and identify the spatial scale for correlations between resistance and production. (2) Systematically measure interactions between species and identify interaction patterns enriched in co-existing communities derived from the same grain of soil. (3) Introducing fluorescently-labelled resistant and sensitive strains into natural soil, we will measure the fitness cost and benefit of antibiotic resistance in situ and identify natural compounds that select against resistance. (4) Test whether such “selection-inverting” compounds can slow evolution of resistance to antibiotics in continuous culture experiments.
Conclusions. These findings will provide insights into the ecological processes that keep antibiotic resistance in check, and will suggest novel antimicrobial treatment strategies.
Max ERC Funding
1 900 000 €
Duration
Start date: 2012-09-01, End date: 2018-08-31
Project acronym ASTERISK
Project ASTERoseismic Investigations with SONG and Kepler
Researcher (PI) Jørgen Christensen-Dalsgaard
Host Institution (HI) AARHUS UNIVERSITET
Call Details Advanced Grant (AdG), PE9, ERC-2010-AdG_20100224
Summary The project aims at a breakthrough in our understanding of stellar evolution, by combining advanced observations of stellar oscillations with state-of-the-art modelling of stars. This will largely be based on very extensive and precise data on stellar oscillations from the NASA Kepler mission launched in March 2009, but additional high-quality data will also be included. In particular, my group is developing the global SONG network for observations of stellar oscillations. These observational efforts will be supplemented by sophisticated modelling of stellar evolution, and by the development of asteroseismic tools to use the observations to probe stellar interiors. This will lead to a far more reliable determination of stellar ages, and hence ages of other astrophysical objects; it will compare the properties of the Sun with other stars and hence provide an understanding of the life history of the Sun; it will investigate the physical processes that control stellar properties, both at the level of the thermodynamical properties of stellar plasmas and the hydrodynamical instabilities that play a central role in stellar evolution; and it will characterize central stars in extra-solar planetary systems, determining the size and age of the star and hence constrain the evolution of the planetary systems. The Kepler data will be analysed in a large international collaboration coordinated by our group. The SONG network, which will become partially operational during the present project, will yield even detailed information about the conditions in the interior of stars, allowing tests of subtle but central aspects of the physics of stellar interiors. The projects involve the organization of a central data archive for asteroseismic data, at the Royal Library, Copenhagen.
Summary
The project aims at a breakthrough in our understanding of stellar evolution, by combining advanced observations of stellar oscillations with state-of-the-art modelling of stars. This will largely be based on very extensive and precise data on stellar oscillations from the NASA Kepler mission launched in March 2009, but additional high-quality data will also be included. In particular, my group is developing the global SONG network for observations of stellar oscillations. These observational efforts will be supplemented by sophisticated modelling of stellar evolution, and by the development of asteroseismic tools to use the observations to probe stellar interiors. This will lead to a far more reliable determination of stellar ages, and hence ages of other astrophysical objects; it will compare the properties of the Sun with other stars and hence provide an understanding of the life history of the Sun; it will investigate the physical processes that control stellar properties, both at the level of the thermodynamical properties of stellar plasmas and the hydrodynamical instabilities that play a central role in stellar evolution; and it will characterize central stars in extra-solar planetary systems, determining the size and age of the star and hence constrain the evolution of the planetary systems. The Kepler data will be analysed in a large international collaboration coordinated by our group. The SONG network, which will become partially operational during the present project, will yield even detailed information about the conditions in the interior of stars, allowing tests of subtle but central aspects of the physics of stellar interiors. The projects involve the organization of a central data archive for asteroseismic data, at the Royal Library, Copenhagen.
Max ERC Funding
2 498 149 €
Duration
Start date: 2011-04-01, End date: 2016-03-31
Project acronym B Massive
Project Binary massive black hole astrophysics
Researcher (PI) Alberto SESANA
Host Institution (HI) UNIVERSITA' DEGLI STUDI DI MILANO-BICOCCA
Call Details Consolidator Grant (CoG), PE9, ERC-2018-COG
Summary Massive black hole binaries (MBHBs) are the most extreme, fascinating yet elusive astrophysical objects in the Universe. Establishing observationally their existence will be a milestone for contemporary astronomy, providing a fundamental missing piece in the puzzle of galaxy formation, piercing through the (hydro)dynamical physical processes shaping dense galactic nuclei from parsec scales down to the event horizon, and probing gravity in extreme conditions.
We can both see and listen to MBHBs. Remarkably, besides arguably being among the brightest variable objects shining in the Cosmos, MBHBs are also the loudest gravitational wave (GW) sources in the Universe. As such, we shall take advantage of both the type of messengers – photons and gravitons – they are sending to us, which can now be probed by all-sky time-domain surveys and radio pulsar timing arrays (PTAs) respectively.
B MASSIVE leverages on a unique comprehensive approach combining theoretical astrophysics, radio and gravitational-wave astronomy and time-domain surveys, with state of the art data analysis techniques to: i) observationally prove the existence of MBHBs, ii) understand and constrain their astrophysics and dynamics, iii) enable and bring closer in time the direct detection of GWs with PTA.
As European PTA (EPTA) executive committee member and former I
International PTA (IPTA) chair, I am a driving force in the development of pulsar timing science world-wide, and the project will build on the profound knowledge, broad vision and wide collaboration network that established me as a world leader in the field of MBHB and GW astrophysics. B MASSIVE is extremely timely; a pulsar timing data set of unprecedented quality is being assembled by EPTA/IPTA, and Time-Domain astronomy surveys are at their dawn. In the long term, B MASSIVE will be a fundamental milestone establishing European leadership in the cutting-edge field of MBHB astrophysics in the era of LSST, SKA and LISA.
Summary
Massive black hole binaries (MBHBs) are the most extreme, fascinating yet elusive astrophysical objects in the Universe. Establishing observationally their existence will be a milestone for contemporary astronomy, providing a fundamental missing piece in the puzzle of galaxy formation, piercing through the (hydro)dynamical physical processes shaping dense galactic nuclei from parsec scales down to the event horizon, and probing gravity in extreme conditions.
We can both see and listen to MBHBs. Remarkably, besides arguably being among the brightest variable objects shining in the Cosmos, MBHBs are also the loudest gravitational wave (GW) sources in the Universe. As such, we shall take advantage of both the type of messengers – photons and gravitons – they are sending to us, which can now be probed by all-sky time-domain surveys and radio pulsar timing arrays (PTAs) respectively.
B MASSIVE leverages on a unique comprehensive approach combining theoretical astrophysics, radio and gravitational-wave astronomy and time-domain surveys, with state of the art data analysis techniques to: i) observationally prove the existence of MBHBs, ii) understand and constrain their astrophysics and dynamics, iii) enable and bring closer in time the direct detection of GWs with PTA.
As European PTA (EPTA) executive committee member and former I
International PTA (IPTA) chair, I am a driving force in the development of pulsar timing science world-wide, and the project will build on the profound knowledge, broad vision and wide collaboration network that established me as a world leader in the field of MBHB and GW astrophysics. B MASSIVE is extremely timely; a pulsar timing data set of unprecedented quality is being assembled by EPTA/IPTA, and Time-Domain astronomy surveys are at their dawn. In the long term, B MASSIVE will be a fundamental milestone establishing European leadership in the cutting-edge field of MBHB astrophysics in the era of LSST, SKA and LISA.
Max ERC Funding
1 532 750 €
Duration
Start date: 2019-09-01, End date: 2024-08-31
Project acronym BEAL
Project Bioenergetics in microalgae : regulation modes of mitochondrial respiration, photosynthesis, and fermentative pathways, and their interactions in secondary algae
Researcher (PI) Pierre Antoine Georges Cardol
Host Institution (HI) UNIVERSITE DE LIEGE
Call Details Consolidator Grant (CoG), LS8, ERC-2015-CoG
Summary During the course of eukaryote evolution, photosynthesis was propagated from primary eukaryotic algae to non-photosynthetic organisms through multiple secondary endosymbiotic events. Collectively referred to as “secondary algae”, these photosynthetic organisms account for only 1-2% of the total global biomass, but produce a far larger part of the global annual fixation of carbon on Earth.
ATP is the universal chemical energy carrier in living cells. In photosynthetic eukaryotes, it is produced by two major cellular processes: photosynthesis and respiration taking place in chloroplasts and mitochondria, respectively. Both processes support the production of biomass and govern gas (O2 and CO2) exchanges. On the other hand, anaerobic fermentative enzymes have also been identified in several primary and secondary algae. The regulation modes and interactions of respiration, photosynthesis and fermentation are fairly well understood in primary green algae. Conversely, the complex evolutionary history of secondary algae implies a great variety of original regulatory mechanisms that have been barely investigated to date.
Over the last years my laboratory has developed and optimized a range of multidisciplinary approaches that now allow us, within the frame of the BEAL (BioEnergetics in microALgae) project, to (i) characterize and compare the photosynthetic regulation modes by biophysical approaches, (ii) use genetic and biochemical approaches to gain fundamental knowledge on aerobic respiration and anaerobic fermentative pathways, and (iii) investigate and compare interconnections between respiration, photosynthesis, and fermentation in organisms resulting from distinct evolutionary scenarios. On a long term, these developments will be instrumental to unravel bioenergetics constraints on growth in microalgae, a required knowledge to exploit the microalgal diversity in a biotechnological perspective, and to understand the complexity of the marine phytoplankton.
Summary
During the course of eukaryote evolution, photosynthesis was propagated from primary eukaryotic algae to non-photosynthetic organisms through multiple secondary endosymbiotic events. Collectively referred to as “secondary algae”, these photosynthetic organisms account for only 1-2% of the total global biomass, but produce a far larger part of the global annual fixation of carbon on Earth.
ATP is the universal chemical energy carrier in living cells. In photosynthetic eukaryotes, it is produced by two major cellular processes: photosynthesis and respiration taking place in chloroplasts and mitochondria, respectively. Both processes support the production of biomass and govern gas (O2 and CO2) exchanges. On the other hand, anaerobic fermentative enzymes have also been identified in several primary and secondary algae. The regulation modes and interactions of respiration, photosynthesis and fermentation are fairly well understood in primary green algae. Conversely, the complex evolutionary history of secondary algae implies a great variety of original regulatory mechanisms that have been barely investigated to date.
Over the last years my laboratory has developed and optimized a range of multidisciplinary approaches that now allow us, within the frame of the BEAL (BioEnergetics in microALgae) project, to (i) characterize and compare the photosynthetic regulation modes by biophysical approaches, (ii) use genetic and biochemical approaches to gain fundamental knowledge on aerobic respiration and anaerobic fermentative pathways, and (iii) investigate and compare interconnections between respiration, photosynthesis, and fermentation in organisms resulting from distinct evolutionary scenarios. On a long term, these developments will be instrumental to unravel bioenergetics constraints on growth in microalgae, a required knowledge to exploit the microalgal diversity in a biotechnological perspective, and to understand the complexity of the marine phytoplankton.
Max ERC Funding
1 837 625 €
Duration
Start date: 2016-06-01, End date: 2021-05-31