An alternate approach to measure specific star formation rates at 2. Davidzon, I., Ilbert, O., Faisst, A. L., Sparre, M., & Capak, P. L. ArXiv e-prints, 1712:arXiv:1712.03959, December, 2017.
An alternate approach to measure specific star formation rates at 2 [link]Paper  abstract   bibtex   
We trace the specific star formation rate (sSFR) of massive star-forming galaxies (\${\textbackslash}gtrsim{\textbackslash}!10{\textasciicircum}\{10\}{\textbackslash},{\textbackslash}mathcal\{M\}_{\textbackslash}odot\$) from \$z{\textbackslash}sim2\$ to 7. Our method is substantially different from previous analyses, as it does not rely on direct estimates of star formation rate, but on the differential evolution of the galaxy stellar mass function (SMF). We show the reliability of this approach by means of semi-analytical and hydrodynamical cosmological simulations. We then apply it to real data, using the SMFs derived in the COSMOS and CANDELS fields. We find that the sSFR is proportional to \$(1+z){\textasciicircum}\{1.1{\textbackslash}pm0.2\}\$ at \$z{\textgreater}2\$, in agreement with other observations but in tension with the steeper evolution predicted by simulations from \$z{\textbackslash}sim4\$ to 2. We investigate the impact of several sources of observational bias, which however cannot account for this discrepancy. Although the SMF of high-redshift galaxies is still affected by significant errors, we show that future large-area surveys will substantially reduce them, making our method an effective tool to probe the massive end of the main sequence of star-forming galaxies.
@article{davidzon_alternate_2017,
	title = {An alternate approach to measure specific star formation rates at 2},
	volume = {1712},
	url = {http://adsabs.harvard.edu/abs/2017arXiv171203959D},
	abstract = {We trace the specific star formation rate (sSFR) of massive star-forming galaxies (\${\textbackslash}gtrsim{\textbackslash}!10{\textasciicircum}\{10\}{\textbackslash},{\textbackslash}mathcal\{M\}\_{\textbackslash}odot\$) from \$z{\textbackslash}sim2\$ to 7. Our method is substantially different from previous analyses, as it does not rely on direct estimates of star formation rate, but on the differential evolution of the galaxy stellar mass function (SMF). We show the reliability of this approach by means of semi-analytical and
hydrodynamical cosmological simulations. We then apply it to real data, using the SMFs derived in the COSMOS and CANDELS fields. We find that the sSFR is proportional to \$(1+z){\textasciicircum}\{1.1{\textbackslash}pm0.2\}\$ at \$z{\textgreater}2\$, in
agreement with other observations but in tension with the steeper evolution predicted by simulations from \$z{\textbackslash}sim4\$ to 2. We investigate the impact of several sources of observational bias, which however cannot account for this discrepancy. Although the SMF of high-redshift galaxies is still affected by significant errors, we show that future large-area surveys will substantially reduce them, making our method an effective tool to probe the massive end of the main sequence of
star-forming galaxies.},
	urldate = {2018-01-10},
	journal = {ArXiv e-prints},
	author = {Davidzon, Iary and Ilbert, Olivier and Faisst, Andreas L. and Sparre, Martin and Capak, Peter L.},
	month = dec,
	year = {2017},
	keywords = {Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics},
	pages = {arXiv:1712.03959},
}

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