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相关论文: Powerful CMD: A Tool for Colour-Magnitude Diagram …

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A quantitative method is presented to compare observed and synthetic colour-magnitude diagrams (CMDs). The method is based on a chi^2 merit function for a point (c_i,m_i) in the observed CMD, which has a corresponding point in the simulated…

天体物理学 · 物理学 2009-10-30 Y. K. Ng

The combination of spectroscopic stellar metallicities and resolved star color-magnitude diagrams (CMDs) has the potential to constrain the entire star formation and chemical enrichment history (SFH) of a galaxy better than fitting CMDs…

天体物理仪器与方法 · 物理学 2016-07-20 Andrew E. Dolphin

We have developed an analytical method to investigate the stellar populations in a galaxy using the broad-band colours. The method enables us to determine the relative contribution, spatial distribution and age for different stellar…

天体物理学 · 物理学 2009-10-31 Hamed Abdel-Hamid , Peter Notni

The upcoming facilities like the Vera C. Rubin Observatory will provide extremely deep photometry of thousands of star clusters to the edge of the Galaxy and beyond, which will require adequate tools for automatic analysis, capable of…

天体物理仪器与方法 · 物理学 2023-06-28 Jose Schiappacasse-Ulloa , Mario Pasquato , Sara Lucatello

The color-magnitude relation (CMR) of early-type galaxies in clusters provides a powerful tool for finding clusters and determining photometric redshifts for clusters using two-filter imaging data. We demonstrate the high accuracy of…

天体物理学 · 物理学 2007-05-23 H. K. C. Yee , M. D. Gladders , O. Lopez-Cruz

MASSCLEAN is a new, sophisticated and robust stellar cluster image and photometry simulation package. This package is able to create color-magnitude diagrams and standard FITS images in any of the traditional optical and near-infrared bands…

星系天体物理 · 物理学 2015-05-14 Bogdan Popescu , M. M. Hanson

Stellar populations serve as a fossil record of galaxy formation and evolution, providing crucial information about the history of star formation and galaxy evolution. The color-magnitude diagram (CMD) stands out as the most accurate tool…

We present MASSCLEAN, a new, sophisticated and robust stellar cluster image and photometry simulation package. This visualization tool is able to create color-magnitude diagrams and standard FITS images in any of the traditional optical and…

天体物理学 · 物理学 2015-05-13 Bogdan Popescu , M. M. Hanson

We present colour-magnitude diagrams (CMDs) for a sample of seven young massive clusters in the galaxies NGC 1313, NGC 1569, NGC 1705, NGC 5236 and NGC 7793. The clusters have ages in the range 5-50 million years and masses of 10^5 -10^6…

星系天体物理 · 物理学 2015-05-28 S. S. Larsen , S. E. de Mink , J. J. Eldridge , N. Langer , N. Bastian , A. Seth , L. J. Smith , J. Brodie , Y. N. Efremov

We present a statistical system that can be used in the study of cluster populations. The basis of our approach is the construction of synthetic cluster color-magnitude-radius diagrams (CMRDs), which we compare with the observed data using…

天体物理学 · 物理学 2012-08-27 Andrew E. Dolphin , Robert C. Kennicutt,

We formulate a model of the conditional colour-magnitude distribution (CCMD) to describe the distribution of galaxy luminosity and colour as a function of halo mass. It consists of two populations of different colour distributions, dubbed…

星系天体物理 · 物理学 2018-10-02 Haojie Xu , Zheng Zheng , Hong Guo , Ying Zu , Idit Zehavi , David H. Weinberg

We describe a web-based cgi calculator for constructing synthetic color-magnitude diagrams for a simple stellar population (SSP) using the Yonsei-Yale (YY) isochrone data base. This calculator is designed to be used interactively. It…

天体物理学 · 物理学 2008-01-04 P. Demarque , S. N. Virani , E. J. Murphy , J. -H. Woo , Y. -C. Kim , S. K. Yi

We present integrated photometry and color-magnitude diagrams (CMDs) for 24 star clusters in M33, of which 12 were previously uncataloged. These results are based on Advanced Camera for Surveys observations from the Hubble Space Telescope…

天体物理学 · 物理学 2008-11-26 Ata Sarajedini , M. K. Barker , Doug Geisler , Paul Harding , Robert Schommer

The spatial morphological study of studied clusters is carried out through the identified probable members within them. The field stars decontamination is performed by the statistical cleaning approach (depends on the magnitude and colour…

星系天体物理 · 物理学 2017-12-05 Gireesh C. Joshi

The Conditional Colour-Magnitude Distribution (CCMD) is a comprehensive formalism of the colour-magnitude-halo mass relation of galaxies. With joint modelling of a large sample of SDSS galaxies in fine bins of galaxy colour and luminosity,…

星系天体物理 · 物理学 2024-10-17 Haojie Xu , Zheng Zheng , Xiaohu Yang , Qingyang Li , Hong Guo

Reproducing color-magnitude diagrams (CMDs) of star-resolved galaxies is one of the most precise methods for measuring the star formation history (SFH) of nearby galaxies back to the earliest time. The upcoming big data era poses challenges…

星系天体物理 · 物理学 2024-10-17 Yujiao Yang , Chao Liu , Ming Yang , Yun Zheng , Hao Tian

Recently, a noticeable number of new star clusters was identified in the outskirts of the Large Magellanic Cloud (LMC) populating the so-called star cluster age gap, a space of time (~ 4-12 Gyr) where the only known star cluster is…

星系天体物理 · 物理学 2021-03-31 Andrés E. Piatti

The Magellanic Clouds (MCs) present a rich system of stellar clusters that can be used to probe the dynamical and chemical evolution of these neighboring and interacting irregular galaxies. In particular, these stellar clusters (SCs)…

Context: The evidence of a multipopulation scenario in Galactic globular clusters raises several questions about the formation and evolution of the two (or more) generations of stars. These populations show differences in their age and…

太阳与恒星天体物理 · 物理学 2013-12-11 R. Carini , E. Brocato , M. Marconi , G. Raimondo

The binary properties of open clusters place crucial constraints on star formation theory and clusters' dynamical evolution. We develop a comprehensive approach that models the color-magnitude diagram (CMD) of the cluster members as the…

星系天体物理 · 物理学 2020-09-30 Lu Li , Zhengyi Shao , Zhao-Zhou Li , Jincheng Yu , Jing Zhong , Li Chen