Mathematics – Logic
Scientific paper
Dec 2006
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006aas...209.9010s&link_type=abstract
2007 AAS/AAPT Joint Meeting, American Astronomical Society Meeting 209, #90.10; Bulletin of the American Astronomical Society, V
Mathematics
Logic
Scientific paper
There is little understood about the nature of the dark energy component of the universe. Presently, inconsistency in the value of the Hubble constant and the limited sample of Type Ia supernovae (SNeIa) at z>1 provide the largest sources of uncertainty in the evolutionary nature of dark energy. There is also growing suspicion that SNeIa may be the result of at least two physical mechanisms, which may produce unnoticed effects in cosmological parameters. The preferred bulk mechanism for SN Ia progenitors, and more importantly the accuracy of the same empirical corrections over all redshifts, can be ascertained by studying the rate of SNeIa in the early universe. The notably few SNeIa found at z>1.4 in the deep HST surveys have suggested that most SNeIa take 3-4 Gyr to develop from a single burst of star formation. Simple tests of this conclusion would be to gather a more statistically significant sample of SNeIa in the desired redshift range, or just a few events at z>2.
We present our new investigations with HST into these critical issues. Our Cycle 15 program, SHOES, continues the search for SNeIa at z>1 with ACS, but has an added component of simultaneous observations with NICMOS of Cepheids in galaxies that have hosted well studied SNeIa. These observations are expected to greatly reduce the uncertainty in H_0 (likewise reducing uncertainty in Omega_M), which along with the increased overall z>1 sample, will likely reduce dark energy constraints by approximately 40%.
With the addition of the SHOES sample to those from PANS and GOODS, we will have nearly 4 times as many z>1 SNeIa to test the bulk delay of SNeIa from the cosmic star formation rate history. And by performing creative combinations of the data, we will ultimately produce an ultra deep survey for possible z>2 SNeIa.
Ferguson Henry C.
Gorski M. J.
Lampeitl Hubert
Martel Andre R.
Riess Adam G.
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