Objective
"The formation and properties of exoplanetary systems is a fascinating question, which has been at the heart of our quest to define mankind and the conditions for life to develop in a broader context.
Recent astronomical observations have deeply modified our paradigm of planet formation, as they suggest the so-called ""proto-planetary disks surrounding T-Tauri stars may actually already host planets. Moreover, we have obtained some of the first observational clues that the dust particles contained in the pristine disk-forming reservoirs that are the embedded protostars may already have significantly evolved from the submicronic dust populating the interstellar medium. These results suggest that dust evolves significantly
already during the first 0.5 Myrs of the star formation process, and highlight the prime importance of understanding the properties and evolution of dust in young protostars.
The PEBBLES project aims at developing a thorough methodology to characterize the properties of dust in embedded protostars, where we know the star and its disk are forming concomitantly. Using an innovative methodology combining cutting edge observational datasets, dust models and numerical models, we aim to transform our understanding of:
1) The nature of the dust incorporated in the youngest disks, a key for models of disk evolution towards planetary systems
2) The processes at work for dust evolution in young protostars, from envelopes to disk scales
3) The efficiency of magnetic fields to couple to the star/disk forming material, and set the disk properties
By shedding light on early dust evolution, we will not only address one of the oldest and most challenging question regarding the initial conditions for planet formation in disks around solar-type stars, but also provide new insight to the conditions reigning and their impact on physical processes during the main accretion stage, during which stars acquire most of their properties."
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.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
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Programme(s)
- HORIZON.1.1 - European Research Council (ERC) Main Programme
Topic(s)
Funding Scheme
HORIZON-ERC - HORIZON ERC GrantsHost institution
28006 Madrid
Spain