Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (6/6 displayed)

  • 2022Taming the BEAST of N66 to resolve how star formation shapes the interstellar medium at low metallicitycitations
  • 2022Taming the BEAST of N66 to resolve how star formation shapes the interstellar medium at low metallicitycitations
  • 2021Dust Formation in a Primitive Environmentcitations
  • 2021Dust Formation in a Primitive Environmentcitations
  • 2019The mass-loss, expansion velocities, and dust production rates of carbon stars in the Magellanic Clouds41citations
  • 2009Dust Production and Mass Loss in the Galactic Globular Cluster NGC 36244citations

Places of action

Chart of shared publication
Roman-Duval, Julia Christine
4 / 4 shared
Cohen, Roger
2 / 2 shared
Bot, Caroline
2 / 2 shared
Hirschauer, Alec S.
2 / 2 shared
Johnson, Lent Clifton
2 / 2 shared
Sandstrom, Karin Marie
4 / 4 shared
Yanchulova Merica-Jones, Petia
2 / 2 shared
Mcquinn, Kristen B. W.
4 / 4 shared
Murray, Claire E.
2 / 2 shared
Gordon, Karl D.
5 / 7 shared
Williams, Benjamin F.
2 / 3 shared
Choi, Yumi
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Lindberg, Christina Willecke
2 / 2 shared
Gilbert, Karoline
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Goldman, Steven R.
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Nanni, Ambra
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Van Loon, Jacco Th.
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Mcdonald, Iain
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Oliveira, Joana M.
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Bressan, Alessandro
1 / 3 shared
Groenewegen, Martin A. T.
1 / 2 shared
Van Loon, Jacco Th
1 / 1 shared
Rubele, Stefano
1 / 1 shared
Aringer, Bernhard
1 / 3 shared
Engelbracht, Charles
1 / 1 shared
Hora, Joe
1 / 1 shared
Indebetouw, Remy
1 / 1 shared
Meixner, Margaret
1 / 12 shared
Meade, Marilyn
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Babler, Brian
1 / 1 shared
Misselt, Karl
1 / 1 shared
Block, Miwa
1 / 1 shared
Bracker, Steve
1 / 1 shared
Sewilo, Marta
1 / 1 shared
Shiao, Bernie
1 / 1 shared
Whitney, Barbara
1 / 1 shared
Chart of publication period
2022
2021
2019
2009

Co-Authors (by relevance)

  • Roman-Duval, Julia Christine
  • Cohen, Roger
  • Bot, Caroline
  • Hirschauer, Alec S.
  • Johnson, Lent Clifton
  • Sandstrom, Karin Marie
  • Yanchulova Merica-Jones, Petia
  • Mcquinn, Kristen B. W.
  • Murray, Claire E.
  • Gordon, Karl D.
  • Williams, Benjamin F.
  • Choi, Yumi
  • Lindberg, Christina Willecke
  • Gilbert, Karoline
  • Goldman, Steven R.
  • Nanni, Ambra
  • Van Loon, Jacco Th.
  • Mcdonald, Iain
  • Oliveira, Joana M.
  • Bressan, Alessandro
  • Groenewegen, Martin A. T.
  • Van Loon, Jacco Th
  • Rubele, Stefano
  • Aringer, Bernhard
  • Engelbracht, Charles
  • Hora, Joe
  • Indebetouw, Remy
  • Meixner, Margaret
  • Meade, Marilyn
  • Babler, Brian
  • Misselt, Karl
  • Block, Miwa
  • Bracker, Steve
  • Sewilo, Marta
  • Shiao, Bernie
  • Whitney, Barbara
OrganizationsLocationPeople

article

The mass-loss, expansion velocities, and dust production rates of carbon stars in the Magellanic Clouds

  • Bressan, Alessandro
  • Boyer, Martha L.
  • Groenewegen, Martin A. T.
  • Van Loon, Jacco Th
  • Goldman, Steven R.
  • Rubele, Stefano
  • Aringer, Bernhard
  • Nanni, Ambra
Abstract

The properties of carbon stars in the Magellanic Clouds (MCs) and their total dust production rates are predicted by fitting their spectral energy distributions (SED) over pre-computed grids of spectra reprocessed by dust. The grids are calculated as a function of the stellar parameters by consistently following the growth for several dust species in their circumstellar envelopes, coupled with a stationary wind. Dust radiative transfer is computed taking as input the results of the dust growth calculations. The optical constants for amorphous carbon are selected in order to reproduce different observations in the infrared and optical bands of Gaia Data Release 2. We find a tail of extreme mass-losing carbon stars in the Large Magellanic Cloud (LMC) with low gas-to-dust ratios that is not present in the Small Magellanic Cloud (SMC). Typical gas-to-dust ratios are around 700 for the extreme stars, but they can be down to ̃160-200 and ̃100 for a few sources in the SMC and in the LMC, respectively. The total dust production rate for the carbon star population is ̃1.77 ± 0.45 × 10<SUP>-5</SUP> M<SUB>☉ </SUB>yr<SUP>-1</SUP>, for the LMC, and ̃2.52 ± 0.96 × 10<SUP>-6 </SUP>M<SUB>☉</SUB> yr<SUP>-1</SUP>, for the SMC. The extreme carbon stars observed with the Atacama Large Millimeter Array and their wind speed are studied in detail. For the most dust-obscured star in this sample the estimated mass-loss rate is ̃6.3 × 10<SUP>-5</SUP> M<SUB>☉</SUB> yr<SUP>-1</SUP>. The grids of spectra are available at:<SUP>1</SUP> and included in the SED-fitting python package for fitting evolved stars.<SUP>2</SUP>...

Topics
  • impedance spectroscopy
  • amorphous
  • Carbon