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A New Method for the Assessment of Age and Age-Spread of Pre-Main Sequence Stars in Young Stellar Associations of the Magellanic Clouds

Astrophysics of Galaxies · Submitted 31 Aug 2010

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim Our analysis allows us to disentangle a real age-spread from the apparent CMD-broadening caused by the physical and observational biases.

how it is stated · asserted 0.99 read the record →

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arXiv ID1009.0006 (version 1)
Pith IDTE4LLVU7, Pith's permanent record of this paper and its review
CitationDimitrios A. Gouliermis, Mario Gennaro, Nicola Da Rio. "A New Method for the Assessment of Age and Age-Spread of Pre-Main Sequence Stars in Young Stellar Associations of the Magellanic Clouds." arXiv:1009.0006 (2010). https://pith.science/paper/TE4LLVU7
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Compiled by classifier-1.13-20260917 via OpenRouter, question bank abstract-p1-20260923, 2026-09-23: 1 request, 8,528 input tokens, $0.0004 reported.

What the abstract itself states, as probabilities: claims first 0.11 · states limitation 0.95 · human participants 0.01 · controlled comparison 0.04 · randomized assignment 0.01 · states quantitative result 0.99 · compares with prior results 0.09 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

We present a new method for the evaluation of the age and age-spread among pre-main-sequence (PMS) stars in star-forming regions in the Magellanic Clouds, accounting simultaneously for photometric errors, unresolved binarity, differential extinction, stellar variability, accretion and crowding. The application of the method is performed with the statistical construction of synthetic color-magnitude diagrams using PMS evolutionary models. We convert each isochrone into 2D probability distributions of artificial PMS stars in the CMD by applying the aforementioned biases that dislocate these stars from their original CMD positions. A maximum-likelihood technique is then applied to derive the probability for each observed star to have a certain age, as well as the best age for the entire cluster. We apply our method to the photometric catalog of ~2000 PMS stars in the young association LH 95 in the LMC, based on the deepest HST/ACS imaging ever performed toward this galaxy, with a detection limit of V~28, corresponding to M~0.2 Msun. Our treatment shows that the age determination is very sensitive to the considered grid of evolutionary models and the assumed binary fraction. The age of LH 95 is found to vary from 2.8 Myr to 4.4 Myr, depending on these factors. Our analysis allows us to disentangle a real age-spread from the apparent CMD-broadening caused by the physical and observational biases. We find that LH 95 hosts an age-spread well represented by a gaussian distribution with a FWHM of the order of 2.8 Myr to 4.2 Myr depending on the model and binary fraction. We detect a dependence of the average age of the system with stellar mass. This dependence does not appear to have any physical meaning, being rather due to imperfections of the PMS evolutionary models, which tend to predict lower ages for the intermediate masses, and higher ages for low-mass stars.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 We present a new method for the evaluation of the age and age-spread among pre-main-sequence (PMS) stars in star-forming regions in the Magellanic Clouds, accounting simultaneously for photometric errors, unresolved binarity, differential extinction, stellar variability, accretion and crowding. contribution 1.00 0.92 0.07 asserted 0.99
s1 The application of the method is performed with the statistical construction of synthetic color-magnitude diagrams using PMS evolutionary models. method 0.99 0.89 0.02 asserted 0.98
s2 We convert each isochrone into 2D probability distributions of artificial PMS stars in the CMD by applying the aforementioned biases that dislocate these stars from their original CMD positions. method 1.00 0.92 0.03 asserted 0.99
s3 A maximum-likelihood technique is then applied to derive the probability for each observed star to have a certain age, as well as the best age for the entire cluster. method 1.00 0.94 0.04 asserted 0.99
s4 We apply our method to the photometric catalog of ~2000 PMS stars in the young association LH 95 in the LMC, based on the deepest HST/ACS imaging ever performed toward this galaxy, with a detection limit of V~28, corresponding to M~0.2 Msun. method 0.67 0.88 0.04 asserted 1.00
s5 Our treatment shows that the age determination is very sensitive to the considered grid of evolutionary models and the assumed binary fraction. limitation 0.56 0.83 0.11 asserted 1.00
s6 The age of LH 95 is found to vary from 2.8 Myr to 4.4 Myr, depending on these factors. result 1.00 0.97 0.16 asserted 1.00
s7 Our analysis allows us to disentangle a real age-spread from the apparent CMD-broadening caused by the physical and observational biases. result 0.47 0.94 0.27 asserted 0.99
s8 We find that LH 95 hosts an age-spread well represented by a gaussian distribution with a FWHM of the order of 2.8 Myr to 4.2 Myr depending on the model and binary fraction. result 1.00 0.97 0.29 asserted 1.00
s9 We detect a dependence of the average age of the system with stellar mass. result 1.00 0.96 0.11 asserted 1.00
s10 This dependence does not appear to have any physical meaning, being rather due to imperfections of the PMS evolutionary models, which tend to predict lower ages for the intermediate masses, and higher ages for low-mass stars. interpretation 0.99 0.76 0.13 hedged possibility 0.62

What kind of paper the classifier reports this is: method or tool 1.00 · evidence from analysis of existing data 0.95.

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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

We present a new method for the evaluation of the age and age-spread among pre-main-sequence (PMS) stars in star-forming regions in the Magellanic Clouds, accounting simultaneously for photometric errors, unresolved binarity, differential extinction, stellar variability, accretion and crowding. The application of the method is performed with the statistical construction of synthetic color-magnitude diagrams using PMS evolutionary models. We convert each isochrone into 2D probability distributions of artificial PMS stars in the CMD by applying the aforementioned biases that dislocate these stars from their original CMD positions. A maximum-likelihood technique is then applied to derive the probability for each observed star to have a certain age, as well as the best age for the entire cluster. We apply our method to the photometric catalog of ~2000 PMS stars in the young association LH 95 in the LMC, based on the deepest HST/ACS imaging ever performed toward this galaxy, with a detection limit of V~28, corresponding to M~0.2 Msun. Our treatment shows that the age determination is very sensitive to the considered grid of evolutionary models and the assumed binary fraction. The age of LH 95 is found to vary from 2.8 Myr to 4.4 Myr, depending on these factors. Our analysis allows us to disentangle a real age-spread from the apparent CMD-broadening caused by the physical and observational biases. We find that LH 95 hosts an age-spread well represented by a gaussian distribution with a FWHM of the order of 2.8 Myr to 4.2 Myr depending on the model and binary fraction. We detect a dependence of the average age of the system with stellar mass. This dependence does not appear to have any physical meaning, being rather due to imperfections of the PMS evolutionary models, which tend to predict lower ages for the intermediate masses, and higher ages for low-mass stars.

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1 arXiv paper cite this in 1 sentence

Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

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  • In conclusion, we perform synthetic photometry on the evolutionary models considered here by applying the technique presented by [ref] by making use of three families of synthetic spectra: (a) NextGen, for a LMC metallicity of $Z≃0.01$, (b) NextGen for solar metallicity $Z=0.02$, and (c) combined NextGen for $T_eff>5000$ K and AMES for $T_eff<5000$ K for solar metallicity.

    A Multi-color Optical Survey of the Orion Nebula Cluster. II. the H-R diagram · Synthetic Photometry · 1.00

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