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The stellar population synthesis in unresolved composite objects is a very tricky problem. Indeed, it is a degenerate problem since many parameters affect the observables. The stellar population synthesis issue thus deserves a deep and…

Astrophysics · Physics 2009-11-10 J. Moultaka

Comparison with artificial galaxy models is essential for translating the incomplete and low signal-to-noise data we can obtain on astrophysical stellar populations to physical interpretations which describe their composition, physical…

Astrophysics of Galaxies · Physics 2020-05-06 Elizabeth R. Stanway

Many aspects of the evolution of stars, and in particular the evolution of binary stars, remain beyond our ability to model them in detail. Instead, we rely on observations to guide our often phenomenological models and pin down uncertain…

Solar and Stellar Astrophysics · Physics 2018-08-22 Robert G. Izzard , Ghina M. Halabi

In three previous papers (Pelat 1997, 1998 and Moultaka & Pelat 2000), we set out an inverse stellar population synthesis method which uses a database of stellar spectra. Unlike other methods, this one provides a full knowledge of all…

Astrophysics · Physics 2009-11-10 J. Moultaka , C. Boisson , M. Joly , D. Pelat

Models of population synthesis for the Galaxy have been developed in order to understand galactic structure and evolution. They allow to test scenarii of evolution by comparisons between model predictions and observed distributions.…

Astrophysics · Physics 2009-10-22 A. C. Robin

The current state-of-the-art of population synthesis is reviewed. The field is currently undergoing major revisions with the recognition of several key processes as new critical ingredients. Stochastic effects can artificially enhance or…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-03 Claus Leitherer , Sylvia Ekstrom

The fundamental properties of stellar clusters, such as the age or the total initial mass in stars, are often inferred from population synthesis models. The predicted properties are then used to constrain the physical mechanisms involved in…

Astrophysics · Physics 2013-07-02 M. Cervino , D. Valls-Gabaud

Since the early 1970s, stellar population modelling has been one of the basic tools for understanding the physics of unresolved systems from observation of their integrated light. Models allow us to relate the integrated spectra (or…

Instrumentation and Methods for Astrophysics · Physics 2013-12-03 Miguel Cerviño

In stellar astrophysics, the technique of population synthesis has been successfully used for several decades. For planets, it is in contrast still a young method which only became important in recent years because of the rapid increase of…

Earth and Planetary Astrophysics · Physics 2018-12-05 Christoph Mordasini

Binary population synthesis is the method by which predictions of varied observables of stellar populations can be made from theoretical models of binary stellar evolution. Binary stars have many more possible evolutionary outcomes compared…

Solar and Stellar Astrophysics · Physics 2020-06-15 J. J. Eldridge

Synthesis models predict the integrated properties of stellar populations. Several problems exist in this field, mostly related to the fact that integrated properties are distributed. To date, this aspect has been either ignored (as in…

Astrophysics · Physics 2009-11-11 M. Cervino , V. Luridiana , N. Cervino-Luridiana

Binary stars are common and it is necessary to model stellar populations using binary stars. We introduce a method to model binary-star stellar populations quickly. The method can also be used to model single-star stellar populations. The…

Solar and Stellar Astrophysics · Physics 2013-02-04 Zhongmu Li

The physical properties of galaxies are encoded within their spectral energy distribution and require comparison with models to be extracted. These models must contain a synthetic stellar population and, where infrared data is to be used,…

Astrophysics of Galaxies · Physics 2022-06-22 G. T. Jones , E. R. Stanway , A. C. Carnall

The development of evolutionary stellar population models is central to interpreting observations of galaxies in terms of astrophysical quantities. Stellar population models must therefore be both accurate and compatible with inversion…

The stellar populations of galaxies contain a wealth of detailed information. From the youngest, most massive stars, to almost invisible remnants, the history of star formation is encoded in the stars that make up a galaxy. Extracting some,…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-14 Jarle Brinchmann

We briefly review some constraints (Owing to the limited number of pages of present review, only a sub-sample of the topics discussed during the talk are briefly summarized. For the interested readers we are pleased to send them upon…

Astrophysics · Physics 2009-11-13 S. Cassisi

During this last decade our knowledge of the evolutionary properties of stars has significantly improved. This result has been achieved thanks to our improved understanding of the physical behavior of stellar matter in the thermal regimes…

Solar and Stellar Astrophysics · Physics 2015-05-14 Santi Cassisi

We present inversion techniques aiming at recovering the stellar content (age, metallicity, extinction) and kinematics of a stellar population from its absorption line spectrum. These techniques use new synthetic high resolution spectra…

Astrophysics · Physics 2007-05-23 P. Ocvirk , C. Pichon , A. Lancon

The relativistic inverse stellar structure problem determines the equation of state of the stellar matter given a knowledge of suitable macroscopic observable properties (e.g. their masses and radii) of the stars composed of that material.…

High Energy Astrophysical Phenomena · Physics 2025-02-18 Lee Lindblom , Tianji Zhou

Asteroseismology has emerged as the best way to characterize the global and internal properties of nearby stars. Often, this characterization is achieved by fitting stellar evolution models to asteroseismic observations. The star under…

Solar and Stellar Astrophysics · Physics 2020-12-25 Earl P. Bellinger , Sarbani Basu , Saskia Hekker
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