Objective
The omnipresence of filamentary structures inside nearby molecular clouds observed by the Herschel space observatory challenges our comprehension of the star formation process. We now know that most of the cold dense cores appear to form within those filaments, which suggest a possible link between the characterisation of the filamentary structure of molecular clouds and the core mass function (CMF). Physical processes such as turbulence, gravitational fragmentation and the influence of magnetic field transform the interstellar medium and leave characteristic signatures within the shape of structures. In order to understand the physical processes leading to the formation of filaments and cores in molecular clouds and later to the formation of stars, many statistical tools have been developed to characterise such signatures. Among them there are the probability distribution function (PDF), which form the foundation of many modern theories of star formation, and the power spectrum analysis, which started with the pioneer work of Andrey Kolmogorov and remains our best tool today to analyse and characterise the turbulence. Usually measured independently, I propose in this project to unify both analysis through a multi-scale analysis approach of nearby molecular clouds. In the recent years, I developed wavelet based analysing techniques allowing me to separate the different statistical signatures of physical processes involved in filaments and cores formation. Furthermore, part of these techniques also imply the analysis of linear polarisation allowing a unique multi-scale description of the interstellar magnetic field. The aim of this project is to build a global and coherent picture, based on observations, of how cloud structures and magnetic fields have an impact on the formation of dense cores.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF-EF-ST - Standard EF
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2016
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
38058 GRENOBLE
France
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.