Computer Science – Learning
Scientific paper
Dec 2007
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007aas...211.0903p&link_type=abstract
American Astronomical Society, AAS Meeting #211, #09.03; Bulletin of the American Astronomical Society, Vol. 39, p.741
Computer Science
Learning
Scientific paper
This study investigated how the star formation rates (SFRs) of galaxies in a cluster change as a function of distance from the center. I studied cl1037, a cluster at redshift 0.58. I predicted that SFRs of galaxies would decrease as a function of distance because of fewer mergers farther out. SFRs were calculated using 24 µm luminosities from Spitzer Space Telescope data. I found that SFR increases as a function of distance from the cluster's center by 0.026 Mo/yr/kpc. This observation might be because ram pressure stripping in the cluster would leave central galaxies with fewer materials to form stars. However, the data did not fit the linear regression neatly, with an R2 correlation co-efficient of 0.11. A detailed analysis of possible pairs in the cluster was also done: one pair was identified in the cluster but two other potential pairs were classified as isolated galaxies. A second linear regression was performed yielding slope=0.0293 Mo/yr/kpc and R2=0.14. Learning more about SFRs of low redshift galaxies in clusters can inform us of behavior of clusters at higher redshifts. Further research would include a study of more clusters at low redshifts.
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