Extreme adaptive optics astrometry of R136

Khorrami, Zeinab; Langlois, M.; Vakili, F.; Clark, Paul; Buckner, Anne S. M.; González, Marta; Crowther, P. A.; Wünsch, Richard; Palouš, J.; Boccaletti, A.; Lumsden, S. L.; Moraux, E.

doi:10.1051/0004-6361/202140668

Cited by 3 publications

(1 citation statement)

References 23 publications

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“…A value of 𝛼 = 0.5 means the embedded star cluster is in virial equilibrium, 𝛼 < 0.5 means contraction and 𝛼 > 0.5 means expansion. After an exploration of different 𝛼 states for the second generation of stars, we report results from 𝛼 = 0.3 which can reproduce closely the observations of R136 presented by Khorrami et al (2021) (hereafter K2021).…”

Section: Usingsupporting

confidence: 73%

30 Doradus, the double stellar birth scenario by $N$-body \& \textsc{warpfield} clouds

Domínguez¹,

Pellegrini²,

Klessen³

et al. 2022

Preprint

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We study the evolution of embedded star clusters as possible progenitors to reproduce 30 Doradus, specifically the compact star cluster known as R136 and its surrounding stellar family, which is believed to be part of an earlier star formation event. We employ the high-precision stellar dynamics code N 6++GPU to calculate the dynamics of the stars embedded in different evolving molecular clouds modelled by the 1D cloud/clusters evolution code . We explore clouds with initial masses of 𝑀 cloud = 3.16 × 10 5 M that (re)-collapse allowing for the birth of a second generation of stars. We explore different star formation efficiencies in order to find the best set of parameters that can reproduce the observation measurements. Our best-fit models correspond to a first stellar generation with masses between 1.26 × 10 4 -2.85 × 10 4 M and for the second generation we find a 𝑀 ≈ 6.32 × 10 4 M . Our models can match the observed stellar ages, cloud shell radius, and the fact that the second generation of stars is more concentrated than the first one. This is found independently of the cluster starting initially with mass segregation or not. By comparing our results with recent observational measurements of the mass segregation and density profile of the central zone we find close agreement, and thus provide supporting evidence for a centrally focused (re)-collapse origin to the multiple ages.

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Section: Usingsupporting

confidence: 73%

30 Doradus, the double stellar birth scenario by $N$-body \& \textsc{warpfield} clouds

Domínguez¹,

Pellegrini²,

Klessen³

et al. 2022

Preprint

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Data mining techniques on astronomical spectra data – II. Classification analysis

Yang

Zhou

Cai

et al. 2022

Monthly Notices of the Royal Astronomical Society

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Classification is valuable and necessary in spectral analysis, especially for data-driven mining. Along with the rapid development of spectral surveys, a variety of classification techniques have been successfully applied to astronomical data processing. However, it is difficult to select an appropriate classification method in practical scenarios due to the different algorithmic ideas and data characteristics. Here, we present the second work in the data mining series - a review of spectral classification techniques. This work also consists of three parts: a systematic overview of current literature, experimental analyses of commonly used classification algorithms and source codes used in this paper. Firstly, we carefully investigate the current classification methods in astronomical literature and organize these methods into ten types based on their algorithmic ideas. For each type of algorithm, the analysis is organized from the following three perspectives. 1) their current applications and usage frequencies in spectral classification are summarized; 2) their basic ideas are introduced and preliminarily analysed; 3) the advantages and caveats of each type of algorithm are discussed. Secondly, the classification performance of different algorithms on the unified datasets is analysed. Experimental data are selected from the LAMOST survey and SDSS survey. Six groups of spectral datasets are designed from data characteristics, data qualities and data volumes to examine the performance of these algorithms. Then the scores of nine basic algorithms are shown and discussed in the experimental analysis. Finally, nine basic algorithms source codes written in python and manuals for usage and improvement are provided.

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Modelling the formation of two stellar generations in massive star clusters: the case of 30 Doradus

Domínguez

Pellegrini

Klessen

et al. 2023

Monthly Notices of the Royal Astronomical Society

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We study the evolution of embedded star clusters with the goal to reproduce 30 Doradus, specifically the compact star cluster known as R136 and its surrounding stellar envelope, which is believed to be part of an earlier star formation event. We employ the high-precision stellar dynamics code Nbody6++GPU to calculate the dynamics of the stars embedded in different evolving molecular clouds modelled with the 1D cloud/clusters code warpfield. We explore clouds with initial masses of Mcloud = 3.16 × 105 M⊙ that (re)-collapse allowing for the birth of a second generation. We explore different star formation efficiencies to find the best set of parameters that can reproduce the observations. Our best-fit models correspond to a first generation of stars with a total mass M in the range 1.26 − 2.85 × 104 M⊙. As the initial stellar feedback is insufficient to unbind the parental cloud, the gas re-collapses after about 2 − 4 million years and builds up a second generation of stars with M ≈ 6.32 × 104 M⊙. We can match the observed stellar ages, the radius of the shell of swept up cloud material, and the fact that the second generation of stars is more concentrated than the first one. This is independent of the cluster starting out with mass segregation or without. By comparing with recent measurements of mass segregation and density profile in the central region of the cluster we again find close agreement, providing further evidence for a re-collapse scenario building up multiple generations of stars in 30 Doradus.

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Extreme adaptive optics astrometry of R136

Cited by 3 publications

References 23 publications

30 Doradus, the double stellar birth scenario by $N$-body \& \textsc{warpfield} clouds

30 Doradus, the double stellar birth scenario by $N$-body \& \textsc{warpfield} clouds

Data mining techniques on astronomical spectra data – II. Classification analysis

Modelling the formation of two stellar generations in massive star clusters: the case of 30 Doradus

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