Comparative studies of Population Synthesis Models in the frame work of modified Strömgren filters

Author(s)
Yuvraj Harsha Sreedhar, Karl Rakos, Gerhard Hensler
Abstract

Evolutionary models form a vital part of stellar population research in understanding their evolution, but despite their long history of development, they are often misrepresented and the properties of stellar population observed through broadband and spectroscopic measurements are also misinterpreted. With growing numbers of these synthesis models, model comparison becomes an important analysis to choose a suitable model for understanding stellar populations and model up-gradation. Along with model comparison, we reinvestigate the technique of modified Strömgren photometry to measure reliable parameter-sensitive colours and estimate precise model ages and metallicities. The assessment of Rakos/Schulz models with GALEV and Worthey’s Lick/IDS model find smaller colour variation: Δ(uz − vz) ≤ 0.056, Δ(bz − yz) ≤ −0.05 and Δ(vz − yz) ≤ 0.061. The study conveys a good agreement of GALEV models with modified Strömgren colours but with poor UV model predictions and observed globular cluster data, while the spectroscopic models perform badly because of outdated isochrone and stellar spectral libraries with inaccurate/insufficient knowledge of various stellar phases and their treatment. Overall, the assessment finds modified Strömgren photometry well suited to study different types stellar populations by mitigating the effects of age-metallicity degeneracy.

Organisation(s)
Department of Astrophysics
External organisation(s)
University of Vienna
Journal
Journal of Astrophysics and Astronomy
Volume
35
Pages
55-68
No. of pages
14
ISSN
0250-6335
DOI
https://doi.org/10.1007/s12036-014-9294-9
Publication date
03-2014
Peer reviewed
Yes
Austrian Fields of Science 2012
103003 Astronomy, 103004 Astrophysics
Keywords
ASJC Scopus subject areas
Astronomy and Astrophysics, Space and Planetary Science
Portal url
https://ucrisportal.univie.ac.at/en/publications/38bc6588-f414-4a16-b92c-925dd950e5d7