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Peter Anders

Researcher at Utrecht University

Publications -  47
Citations -  2252

Peter Anders is an academic researcher from Utrecht University. The author has contributed to research in topics: Star cluster & Galaxy. The author has an hindex of 17, co-authored 47 publications receiving 2177 citations. Previous affiliations of Peter Anders include Chinese Academy of Sciences & Peking University.

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Spectral and photometric evolution of young stellar populations: The impact of gaseous emission at various metallicities

TL;DR: In this paper, the spectral and photometric evolution of Simple Stellar Populations (SSPs) for various metallicities in the range 0:02 Z=Z 2:5 was studied.
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Spectral and Photometric Evolution of Young Stellar Populations: the Impact of Gaseous Emission at Various Metallicities

TL;DR: In this article, the spectral and photometric evolution of Simple Stellar Populations (SSPs) for various metallicities in the range 0.02 -Z/Zsun <= 2.5 was studied.
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galev evolutionary synthesis models – I. Code, input physics and web interface

TL;DR: The GALEV (Galev Evolutionary Evolutionary Models for Galaxies) model as mentioned in this paper describes the evolution of stellar populations in general, of star clusters as well as of galaxies, both in terms of resolved stellar populations and of integrated light properties over cosmological time-scales of ≥13 Gyr.
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Star cluster formation and evolution in nearby starburst galaxies – II. Initial conditions

TL;DR: In this paper, the ages, masses and metallicities of the rich young star cluster systems in the nearby starburst galaxies NGC 3310 and NGC 6745 were derived by examining the effects of a priori assumptions on the individual cluster metallicities.
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Analysing observed star cluster SEDs with evolutionary synthesis models: systematic uncertainties

TL;DR: In this article, the authors investigated the effects of restricting oneself to a limited number of available passbands, choices of various passband combinations, finite observational errors, non-continuous model input parameter values, and restrictions in parameter space allowed during analysis.