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243 - Daniel Schaerer 2012
We examine the dependence of derived physical parameters of distant Lyman break galaxies (LBGs) on the assumed star formation histories (SFHs), their implications on the SFR-mass relation, and we propose observational tests to better constrain these quantities. We use our SED-fitting tool including nebular emission to analyze a large sample of LBGs, assuming five different star formation histories, extending our first analysis of this sample (de Barros et al. 2012, paper I). In addition we predict the IR luminosities consistently with the SED fits. Compared to standard SED fits assuming constant SFR and neglecting nebular lines, assuming variable SFHs yield systematically lower stellar masses, higher extinction, higher SFR, higher IR luminosities, and a wider range of equivalent widths for optical emission lines. Exponentially declining and delayed SFHs yield basically identical results and generally fit best. Exponentially rising SFHs yield similar masses, but somewhat higher extinction. We find significant deviations between the derived SFR and IR luminosity from the commonly used SFR(IR) or SFR(IR+UV) calibration, due to differences in the SFHs and ages. Models with variable SFHs, favored statistically, yield generally a large scatter in the SFR-mass relation. We show that the true scatter in the SFR-mass relation can be significantly larger than inferred using SFR(UV) and/or SFR(IR). Different SFHs, and hence differences in the derived SFR-mass relation and in the specific star formation rates, can be tested/constrained observationally with future IR observations with ALMA. Measurement of emission lines, such as Halpha and [OII]3727, can also provide useful constraints on the SED models. We conclude that our findings of a large scatter in SFR-mass at high-z and an increase of the specific star formation rate above z>~3 (paper I) can be tested observationally. (abriged)
336 - Daniel Schaerer 2011
We highlight and discuss the importance of accounting for nebular emission in the SEDs of high redshift galaxies, as lines and continuum emission can contribute significantly or subtly to broad-band photometry. Physical parameters such as the galaxy age, mass, star-formation rate, dust attenuation and others inferred from SED fits can be affected to different extent by the treatment of nebular emission. We analyse a large sample of Lyman break galaxies from z~3-6, and show some main results illustrating e.g. the importance of nebular emission for determinations of the mass-SFR relation, attenuation and age. We suggest that a fairly large scatter in such relations could be intrinsic. We find that the majority of objects (~60-70%) is better fit with SEDs accounting for nebular emission; the remaining galaxies are found to show relatively weak or no emission lines. Our modeling, and supporting empirical evidence, suggests the existence of two categories of galaxies, starbursts and post-starbursts (lower SFR and older galaxies) among the LBG population, and relatively short star-formation timescales.
364 - Daniel Schaerer 2011
Determining Lya properties of distant galaxies is of great interest for various astrophysical studies. We examine how the strength of Lya emission can be constrained from broad-band SED fits instead of relying on spectroscopy. We use our SED fitting tool including the effects of nebular emission, considering in particular Lya emission as a free parameter, and we demonstrate our method with simulations of mock galaxies. Using this tool we analyse a large sample of U, B, V, and i dropout galaxies with multi-band photometry. We find significant trends of the fraction of galaxies with Lya emission increasing both with redshift z and towards fainter magnitude (at fixed z), and similar trends for the Lya equivalent width. Our inferred Lya properties are in good agreement with the available spectroscopic observations and other data. These results demonstrate that the strength of Lya emission in distant star-forming galaxies can be inferred quantitatively from broad-band SED fits, at least statistically for sufficiently large samples with a good photometric coverage.
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