Statistics – Methodology
Scientific paper
Dec 2007
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007aas...211.5208g&link_type=abstract
American Astronomical Society, AAS Meeting #211, #52.08; Bulletin of the American Astronomical Society, Vol. 39, p.821
Statistics
Methodology
Scientific paper
We have obtained several deep spectra with DEIMOS/Keck in order to estimate the galactic mass flux density at intermediate redshifts (0.6 < z < 0.9) from the "blue cloud" to the red sequence across the so-called "green valley", the intermediate region in the color-magnitude plot between those two populations. We use the same methodology as Martin et al. (2007), in which the authors have used spectral indices (specifically Dn(4000) and H_δ,A) to determine star formation histories for those objects at lower redshifts. Together with an independent measurement of number density of galaxies in each bin of the color-magnitude plot, one can infer the rate at which galaxies from a given sample are transiting through that bin. Measuring this value for all magnitude values, Martin et al. (2007) determined that the mass flux density in the green valley is comparable to both the mass build-up rate of the red sequence and the mass loss rate from the blue cloud. In the future, we plan to correlate our data with available AGN data, since recent results indicate that a substantial fraction of AGN is found within the green valley. We suspect this might be playing a central role in the star formation quenching in these galaxies.
Gonçalves Thiago
Martin Chris
Small Todd
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