Analysis of star formation in galaxy-like objects

Using cosmological hydrodynamical simulations, we investigate the effects of hierarchical aggregation on the triggering of star formation in galactic-like objects. We include a simple star formation model to transform the cold gas in dense regions into stars. Simulations with different parameters ha...

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Publicado: 2000
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Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0004637X_v534_n2PART1_p636_Tissera
http://hdl.handle.net/20.500.12110/paper_0004637X_v534_n2PART1_p636_Tissera
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spelling paper:paper_0004637X_v534_n2PART1_p636_Tissera2023-06-08T14:28:42Z Analysis of star formation in galaxy-like objects Galaxies: interactions Galaxies: stellar content Hydrodynamics Methods: numerical Stars: formation Using cosmological hydrodynamical simulations, we investigate the effects of hierarchical aggregation on the triggering of star formation in galactic-like objects. We include a simple star formation model to transform the cold gas in dense regions into stars. Simulations with different parameters have been performed in order to quantify the dependence of the results on the parameters. We then resort to stellar population synthesis models to trace the color evolution of each object with redshift and in relation to their merger histories. We find that, in a hierarchical clustering scenario, the process of assembling of the structure is one natural mechanism that may trigger star formation. The resulting star formation rate history for each individual galactic object is composed of a continuous one (≤3 M⊙ yr-1) and a series of starbursts. We find that even the accretion of a small satellite can be correlated with a stellar burst. Massive mergers are found to be more efficient at transforming gas into stars. 2000 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0004637X_v534_n2PART1_p636_Tissera http://hdl.handle.net/20.500.12110/paper_0004637X_v534_n2PART1_p636_Tissera
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Galaxies: interactions
Galaxies: stellar content
Hydrodynamics
Methods: numerical
Stars: formation
spellingShingle Galaxies: interactions
Galaxies: stellar content
Hydrodynamics
Methods: numerical
Stars: formation
Analysis of star formation in galaxy-like objects
topic_facet Galaxies: interactions
Galaxies: stellar content
Hydrodynamics
Methods: numerical
Stars: formation
description Using cosmological hydrodynamical simulations, we investigate the effects of hierarchical aggregation on the triggering of star formation in galactic-like objects. We include a simple star formation model to transform the cold gas in dense regions into stars. Simulations with different parameters have been performed in order to quantify the dependence of the results on the parameters. We then resort to stellar population synthesis models to trace the color evolution of each object with redshift and in relation to their merger histories. We find that, in a hierarchical clustering scenario, the process of assembling of the structure is one natural mechanism that may trigger star formation. The resulting star formation rate history for each individual galactic object is composed of a continuous one (≤3 M⊙ yr-1) and a series of starbursts. We find that even the accretion of a small satellite can be correlated with a stellar burst. Massive mergers are found to be more efficient at transforming gas into stars.
title Analysis of star formation in galaxy-like objects
title_short Analysis of star formation in galaxy-like objects
title_full Analysis of star formation in galaxy-like objects
title_fullStr Analysis of star formation in galaxy-like objects
title_full_unstemmed Analysis of star formation in galaxy-like objects
title_sort analysis of star formation in galaxy-like objects
publishDate 2000
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0004637X_v534_n2PART1_p636_Tissera
http://hdl.handle.net/20.500.12110/paper_0004637X_v534_n2PART1_p636_Tissera
_version_ 1768541683060834304