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Physical properties of dusty protoplanetary disks in Lupus: evidence for viscous evolution?

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TLDR
In this article, the authors used the SIMBAD database for the analysis of ALMA data and used the Max Planck Gesellschaft Hydra computing cluster for code testing, for which they are grateful to Paola Caselli.
Abstract
M.T. and L.T. acknowledge support by the DFG cluster of excellence Origin and Structure of the Universe (www.universe-cluster. de). This work has been supported by the DISCSIM project, grant agreement 341137 funded by the European Research Council under ERC-2013-ADG. M.T. and L.T. thank Eva Wirstrom, the Gothenburg Centre for Advanced Studies in Science and Technology and the participants of the workshop Origins of Habitable Planets hosted at Chalmers (Gothenburg) in June 2016 where considerable part of this work was fruitfully discussed. M.T. is grateful to Cathie Clarke for insightful discussions. The fits have been carried out on the computing facilities of the Computational Center for Particle and Astrophysics (C2PAP) as part of the approved project “Dust evolution in protoplanetary disks”. M.T. acknowledges usage of the Max Planck Gesellschaft Hydra computing cluster for code testing, for which is grateful to Paola Caselli. Figures have been generated using the Python-based matplotlib package (Hunter 2007). Staircase plots of PDFs have been generated with a user-modified version of the Python-based triangle package (Foreman-Mackey et al. 2014). This research has made use of the SIMBAD database, operated at CDS, Strasbourg, France. This work was partly supported by the Italian Ministero dell’ Istruzione, Universita e Ricerca through the grant Progetti Premiali 2012 – iALMA (CUP C52I13000140001). A.N. acknowledges funding from Science Foundation Ireland (Grant 13/ERC/I2907). C.F.M. acknowledges an ESA Research Fellowship. This paper makes use of the following ALMA data: ADS/JAO.ALMA#2013.1.00220.S, ADS/JAO.ALMA#2013.1.00226.S. ALMA is a partnership of ESO (representing its member states), NSF (USA) and NINS (Japan), together with NRC (Canada), NSC and ASIAA (Taiwan), and KASI (Republic of Korea), in cooperation with the Republic of Chile. The Joint ALMA Observatory is operated by ESO, AUI/NRAO and NAOJ

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Journal ArticleDOI

ALMA Survey of Lupus Protoplanetary Disks II: Gas Disk Radii

TL;DR: In this article, the Atacama Large Millimeter/Sub-Millimeter Array (ALMA) Band 6 observations of a complete sample of protoplanetary disks in the young (~1-3 Myr) Lupus star-forming region, covering the 1.33 mm continuum and the 12CO, 13CO and C18O J = 2-1 lines.
Journal ArticleDOI

On the diversity and statistical properties of protostellar discs

TL;DR: In this article, the formation of stars and planets: radiation hydrodynamical and magnetohydrodynamic simulations were performed on the University of Exeter Supercomputer, a DiRAC Facility jointly funded by the European Research Council under the European Commission's Seventh Framework Programme (FP7/2007-2013 Grant Agreement No. 339248).
References
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Journal ArticleDOI

Matplotlib: A 2D Graphics Environment

TL;DR: Matplotlib is a 2D graphics package used for Python for application development, interactive scripting, and publication-quality image generation across user interfaces and operating systems.
Journal ArticleDOI

emcee: The MCMC Hammer

TL;DR: The emcee algorithm as mentioned in this paper is a Python implementation of the affine-invariant ensemble sampler for Markov chain Monte Carlo (MCMC) proposed by Goodman & Weare (2010).
Journal ArticleDOI

Berechnung verschiedener physikalischer Konstanten von heterogenen Substanzen. I. Dielektrizitätskonstanten und Leitfähigkeiten der Mischkörper aus isotropen Substanzen

TL;DR: In this article, the Berechnung der dielektrizitatatkonstanten and der Leitfahigkeiten fur Elektriatitat and Warme der Mischkorper aus isotropen Bestandteilen behandelt.
Journal ArticleDOI

Ensemble samplers with affine invariance

TL;DR: A family of Markov chain Monte Carlo methods whose performance is unaffected by affine tranformations of space is proposed, and computational tests show that the affine invariant methods can be significantly faster than standard MCMC methods on highly skewed distributions.
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