Analysis of star formation in galaxy-like objects

Resultado de la investigación: Article

35 Citas (Scopus)

Resumen

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.

Idioma originalEnglish
Páginas (desde-hasta)636-649
Número de páginas14
PublicaciónAstrophysical Journal
Volumen534
N.º2 PART 1
EstadoPublished - 10 may 2000

Huella dactilar

merger
star formation
galaxies
history
gas
histories
simulation
stars
transform
cold gas
accretion
star formation rate
assembling
bursts
actuators
color
synthesis
gases
analysis
parameter

ASJC Scopus subject areas

  • Astronomy and Astrophysics
  • Space and Planetary Science

Citar esto

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abstract = "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.",
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Analysis of star formation in galaxy-like objects. / Tissera, Patricia B.

En: Astrophysical Journal, Vol. 534, N.º 2 PART 1, 10.05.2000, p. 636-649.

Resultado de la investigación: Article

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T1 - Analysis of star formation in galaxy-like objects

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N2 - 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.

AB - 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.

KW - Galaxies: interactions

KW - Galaxies: stellar content

KW - Hydrodynamics

KW - Methods: numerical

KW - Stars: formation

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