Opendata, web and dolomites

DustOrigin SIGNED

The origin of cosmic dust in galaxies

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 DustOrigin project word cloud

Explore the words cloud of the DustOrigin project. It provides you a very rough idea of what is the project "DustOrigin" about.

composition    energies    chemical    deus    simulations    nearby    expanded    re    models    evolution    erc    assumed    opportune    polarimetric    physics    alma    light    building    universe    50    sn    adsorption    massive    cloud    neglect    dominant    inhomogeneous    feedback    delivered    efficiencies    diffusion    pervades    net    pillars    mechanism    cooling    experiments    responsible    form    experimental    overestimated    cosmological    supernova    model    route    me    infer    sources    rates    shocks    infrared    clouds    molecular    laboratory    structure    unknown    realistic    galaxies    collapsing    time    expertise    starlight    redshift    efficient    outflows    statistical    ism    modelled    structures    grain    found    3d    hydrogen    origin    galaxy    data    collaborators    size    obscuration    legacy    remnants    outcome    lerma    detect    lack    simultaneously    first    source    inferring    dust    grains    observations    driving    stars    condensation    myself    technique    observational    metals    snrs    radiative    exploited    destruction    galactic    herschel   

Project "DustOrigin" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITEIT GENT 

Organization address
address: SINT PIETERSNIEUWSTRAAT 25
city: GENT
postcode: 9000
website: http://www.ugent.be

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Belgium [BE]
 Total cost 1˙500˙000 €
 EC max contribution 1˙500˙000 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2019-STG
 Funding Scheme ERC-STG
 Starting year 2020
 Duration (year-month-day) from 2020-09-01   to  2025-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITEIT GENT BE (GENT) coordinator 1˙500˙000.00

Map

 Project objective

Dust pervades the Universe; it is responsible for the obscuration of 50% of starlight, for the formation of molecular hydrogen, for the cooling of clouds collapsing to form stars, and for radiative feedback processes capable of driving massive galactic outflows. Due to the unknown origin of dust, cosmological simulations lack detailed dust physics, which will affect the outcome of galaxy evolution models. Current work by myself and collaborators have delivered observational evidence for the efficient condensation of dust in supernova remnants (SNRs). Up to now, grain growth is assumed to be the dominant dust source, but a viable chemical route for growing grains in the ISM has yet to be found. Current dust destruction efficiencies have been overestimated due to the neglect of inhomogeneous cloud structures. With Herschel's legacy of dust in the nearby Universe and ALMA's capabilities to detect the first infrared light of galaxies, this is an opportune time to re-evaluate the origin of dust. Building upon my expertise in dust in both SNRs and nearby galaxies, I will re-evaluate net SN dust production rates by inferring the composition and grain size of SN dust based on my own dust polarimetric data of Galactic SNRs. With my collaborators from LERMA, I will exploit a new experimental technique to simultaneously infer adsorption and diffusion energies; these laboratory measurements will allow me to assess whether grain growth can provide a viable mechanism for dust formation. My Dust and Element evolUtion modelS (DEUS) will be expanded to include a 3D inhomogeneous ISM structure, and will be exploited to model the destruction of dust by shocks in a realistic multi-phase ISM. Finally, the evolution of dust and metals will be modelled in a statistical sample of low- and high-redshift galaxies to infer the dominant dust sources. The three pillars (observations, modelling and laboratory experiments) of my ERC project are essential to solve the origin of dust problem.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "DUSTORIGIN" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "DUSTORIGIN" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.1.)

evolSingleCellGRN (2019)

Constraint, Adaptation, and Heterogeneity: Genomic and single-cell approaches to understanding the evolution of developmental gene regulatory networks

Read More  

HEIST (2020)

High-temperature Electrochemical Impedance Spectroscopy Transmission electron microscopy on energy materials

Read More  

HyperBio (2019)

Vis-NIR Hyperspectral imaging for biomaterial quality control

Read More