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The (rest-frame) near-IR domain contains important stellar population diagnostics and is often used to estimate masses of galaxies at low as well as high redshifts. However, many stellar population models are still relatively poorly…

天体物理学 · 物理学 2008-11-26 Peter M. Pessev , Paul Goudfrooij , Thomas H. Puzia , Rupali Chandar

State-of-the-art cosmological hydrodynamical simulations have star particles with typical mass between $\sim 10^8$ and $\sim 10^3$ M$_{\odot}$ according to resolution, and treat them as simple stellar populations. On the other hand,…

Multiplexed immunofluorescence microscopy captures detailed measurements of spatially resolved, multiple biomarkers simultaneously, revealing tissue composition and cellular interactions in situ among single cells. The growing scale and…

软件工程 · 计算机科学 2025-06-03 Fang Liu , Rui He , Andrei Bombin , Ahmad B. Abdallah , Omar Eldaghar , Tommy R. Sheeley , Sam E. Ying , George Zaki

Stellar clusters are critical constituents within galaxies: they are the result of highest-density star formation, and through their spatially and temporally correlated feedback they regulate their host galaxy evolution. We present a novel…

星系天体物理 · 物理学 2024-08-12 Marta Reina-Campos , Oleg Y. Gnedin , Alison Sills , Hui Li

Conventionally, CMD analyses of nearby star clusters are based on observations in 2 passbands. They are plagued by considerable degeneracies between age, metallicity, distance (and extinction) that can largely be resolved by including…

ATLASGAL is a 870-mircon dust survey of 420 square degrees of the inner Galactic plane and has been used to identify ~10 000 dense molecular clumps. Dedicated follow-up observations and complementary surveys are used to characterise the…

The program package SME (Spectroscopy Made Easy), designed to perform an analysis of stellar spectra using spectral fitting techniques, was updated due to adding new functions (isotopic and hyperfine splittins) in VALD and including grids…

天体物理仪器与方法 · 物理学 2017-10-31 N. Piskunov , T. Ryabchikova , Yu. Pakhomov , T. Sitnova , S. Alexeeva , L. Mashonkina , T. Nordlander

Chemical tagging has great promise as a technique to unveil our Galaxy's history. Grouping stars based on their similar chemistry can establish details of the star formation and merger history of the Milky Way. With precise measurements of…

星系天体物理 · 物理学 2019-06-03 Natalie Price-Jones , Jo Bovy

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

We have developed a new simulation code aimed at studying the stellar dynamics of a galactic central star cluster surrounding a massive black hole. In order to include all the relevant physical ingredients (2-body relaxation, stellar mass…

天体物理学 · 物理学 2009-11-06 Marc Freitag , Willy Benz

Context. Machine-Learning (ML) solves problems by learning patterns from data, with limited or no human guidance. In Astronomy, it is mainly applied to large observational datasets, e.g. for morphological galaxy classification. Aims. We…

星系天体物理 · 物理学 2016-04-27 Mario Pasquato , Chul Chung

We present an empirical assessment of the use of broadband optical colours as age indicators for unresolved extragalactic clusters and investigate stochastic sampling effects on integrated colours. We use the integrated properties of…

天体物理学 · 物理学 2009-11-13 M. Hancock , B. J. Smith , M. L. Giroux , C. Struck

We use AStroLens, a newly developed gravitational lens-modeling code that relies only on geometric and photometric information of cluster galaxies as input, to map the strong-lensing regions and estimate the lensing strength of 96 galaxy…

星系天体物理 · 物理学 2020-08-12 Lukas Zalesky , Harald Ebeling

We describe a novel method for determining the demographics of a population of star clusters, for example distributions of cluster mass and age, from unresolved photometry. This method has a number of desirable properties: it fully exploits…

星系天体物理 · 物理学 2018-11-07 Mark R. Krumholz , Angela Adamo , Michele Fumagalli , Daniela Calzetti

Deep imaging programs, such as MATLAS which has just been completed at the CFHT, allows us to study with their diffuse light the outer stellar populations around large number of galaxies. We have carried out a systematic census of their…

星系天体物理 · 物理学 2017-03-29 Pierre-Alain Duc

In this paper we refine our method for the abundance analysis of high resolution spectroscopy of the integrated light of unresolved globular clusters (GCs). This method was previously demonstrated for the analysis of old ($>$10 Gyr) Milky…

星系天体物理 · 物理学 2015-05-27 J. E. Colucci , R. A. Bernstein , S. A. Cameron , A. McWilliam

A deep understanding of the Milky Way galaxy, its formation and evolution requires observations of huge numbers of stars. Stellar photometry, therefore, provides an economical method to obtain intrinsic stellar parameters. With the addition…

太阳与恒星天体物理 · 物理学 2019-01-30 Louise M. Howes , Lennart Lindegren , Sofia Feltzing , Ross P. Church , Thomas Bensby

Aims. We provide an easy-to-use full-spectrum fitting package and explore its applications to (i) the determination of the stellar atmospheric parameters and (ii) the study of the history of stellar populations. Methods. We developed ULySS,…

天体物理仪器与方法 · 物理学 2015-05-13 Mina Koleva , Philippe Prugniel , Antoine Bouchard , Yue Wu

Galaxy clusters are powerful probes of astrophysics and cosmology through gravitational lensing: the clusters' mass, dominated by 85% dark matter, distorts background light. Yet, mass reconstruction lacks the scalability and large-scale…

计算机视觉与模式识别 · 计算机科学 2026-03-17 Diego Royo , Brandon Zhao , Adolfo Muñoz , Diego Gutierrez , Katherine L. Bouman

Integrated spectra have been obtained of 31 star clusters in the Magellanic Clouds (MC) and of 4 Galactic globular clusters. The spectra cover the wavelength range 3500 -- 4700 Angstroms at a resolution of 3.2 Angstroms FWHM. The MC…

天体物理学 · 物理学 2007-05-23 Andrew. J. Leonardi , James. A. Rose