2022
DOI: 10.1051/0004-6361/202141609
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Locating dust and molecules in the inner circumstellar environment of R Sculptoris with MATISSE

Abstract: Context. Asymptotic giant branch (AGB) stars are one of the main sources of dust production in the Galaxy. However, it is not yet clear what this process looks like and where the dust happens to be condensing in the circumstellar environment. Aims. By characterizing the location of the dust and the molecules in the close environment of an AGB star, we aim to achieve a better understanding the history of the dust formation process. Methods. We observed the carbon star R Scl with the thermal-infrared VLTI/MATISS… Show more

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Cited by 2 publications
(3 citation statements)
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“…5, by varying the parameters a k using a gradient descent or any other optimization algorithm (in our case: the Cobyla minimization routine from the Lmfit package † library that can be found in Python). This description of the algorithm corresponds exactly to the version of RHAPSODY the has been been used in 9…”
Section: The Bayesian Approachmentioning
confidence: 99%
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“…5, by varying the parameters a k using a gradient descent or any other optimization algorithm (in our case: the Cobyla minimization routine from the Lmfit package † library that can be found in Python). This description of the algorithm corresponds exactly to the version of RHAPSODY the has been been used in 9…”
Section: The Bayesian Approachmentioning
confidence: 99%
“…In this paragraph we test the robustness of the RHAPSODY against a realistic model used in our paper on R Scl. 9 We built a toy model mimicking the R Scl environment using DUSTY and a Gaussian layer at 15 mas with an intensity ratio with respect to the central source starting from 1/1000 and reaching up to 1/10 (Fig 8 in appendix). Using ASPRO2, we generate VLTI/MATISSE visibilities, add error noise to the data, and use the same (u,v)plane coverage for each of our different models and for both LM -and N -bands.…”
Section: D Dust Radiative Transfer Environmentmentioning
confidence: 99%
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