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We present a new set of evolutionary synthesis models of our GALEV code, specifically developed to include the gaseous emission of presently forming star clusters, in combination with an advanced tool to compare large model grids with…

Astrophysics · Physics 2007-05-23 P. Anders , U. Fritze--v. Alvensleben , R. de Grijs

In this contribution I show the physical limitations to the application of standard synthesis models from 0 to 10 Gyr. I also present the multiwavelength spectrum (from gamma-rays to radio) of young star forming regions based on…

Astrophysics · Physics 2007-05-23 M. Cervino

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

Taking advantage of recent important advances in the calculation of high-resolution spectral grids of stellar atmospheres at short wavelengths, and their implementation for population synthesis models, we briefly review here some special…

Astrophysics · Physics 2007-09-19 A. Buzzoni , E. Bertone , M. Chavez , L. H. Rodriguez-Merino

Evolutionary synthesis models for star clusters of various metallicities including gaseous emission during the lifetime of the ionising stars are used to model star cluster systems comprising two populations: an old metal-poor globular…

Astrophysics · Physics 2007-05-23 Uta Fritze -- v. Alvensleben , Peter Anders , Richard de Grijs

We present in this contribution the predictions on the multiwavelength spectral energy distribution of our evolutionary population synthesis models including single and binary stellar systems. The high energy computations include the…

Astrophysics · Physics 2007-05-23 M. Cervino , J. M. Mas-Hesse

Globular cluster systems (GCSs) are vital tools for investigating the violent star formation histories of their host galaxies. This violence could e.g. have been triggered by galaxy interactions or mergers. The basic observational…

Astrophysics · Physics 2009-11-07 Peter Anders , Richard de Grijs , Uta Fritze - v. Alvensleben

In this contribution we investigate how to describe the results and usage of evolutionary synthesis models. In particular, we look for an explicit and quantitative description of the parameter space of synthesis models and the evaluation of…

Astrophysics · Physics 2007-11-12 M. Cervino , V. luridiana

The observational properties of globular cluster systems (GCSs) are vital tools to investigate the violent star formation histories of their host galaxies. This violence is thought to have been triggered by galaxy interactions or mergers.…

Astrophysics · Physics 2008-11-26 Peter Anders , Uta Fritze - v. Alvensleben , Richard de Grijs

Evolutionary synthesis models are the prime method to construct models of stellar populations, and to derive physical parameters from observations. One of the assumptions for such models so far has been the time-independence of the stellar…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-13 P. Anders , H. J. G. L. M Lamers , H. Baumgardt

Determining the properties of old stellar populations (those with age >1 Gyr) has long involved the comparison of their integrated light, either in the form of photometry or spectroscopic indexes, with empirical or synthetic templates. Here…

Astrophysics of Galaxies · Physics 2018-06-06 E R Stanway , J J Eldridge

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

Evolutionary population synthesis models for a wide range of metallicities, ages, star formation histories, and Horizontal Branch morphologies, including blue morphologies at high metallicity, are computed. The energetics of the post Main…

Astrophysics · Physics 2008-11-26 Claudia Maraston

Spectral evolution models are a widely used tool for determining the stellar content of galaxies. I provide a review of the latest developments in stellar atmosphere and evolution models, with an emphasis on massive stars. In contrast to…

Solar and Stellar Astrophysics · Physics 2015-05-14 Claus Leitherer

I will review recent progress in the modeling of the stellar spectral energy distributions of star-forming galaxies. I will cover the full relevant wavelength range from the near-infrared to the extreme ultraviolet, with an emphasis on the…

Astrophysics · Physics 2009-11-10 Claus Leitherer

In this paper, I present a new set of synthetic spectral energy distributions (SEDs) for young stellar objects (YSOs) spanning a wide range of evolutionary stages, from the youngest deeply embedded protostars to pre-main-sequence stars with…

Solar and Stellar Astrophysics · Physics 2017-03-29 Thomas P. Robitaille

The simulation of gravitational wave source populations and their progenitors is an endeavor more than eighty years in the making. This is in part due to a wide variety of theoretical uncertainties that must be taken into account when…

High Energy Astrophysical Phenomena · Physics 2025-08-14 Katelyn Breivik

Evolutionary synthesis models have been used to study the physical properties of unresolved populations in a wide range of scenarios. Unfortunately, their self-consistency are difficult to test and there are some theoretical open questions…

Astrophysics · Physics 2009-11-07 M. Cervino

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

While working within the spatial domain can pose problems associated with ill-conditioned scores caused by power-law decay, recent advances in diffusion-based generative models have shown that transitioning to the wavelet domain offers a…

Artificial Intelligence · Computer Science 2024-11-15 Xiongye Xiao , Shixuan Li , Luzhe Huang , Gengshuo Liu , Trung-Kien Nguyen , Yi Huang , Di Chang , Mykel J. Kochenderfer , Paul Bogdan
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