Mathematics – Logic
Scientific paper
Oct 1992
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1992e%26psl.113..449k&link_type=abstract
Earth and Planetary Science Letters, Volume 113, Issue 3, p. 449-457.
Mathematics
Logic
4
Scientific paper
The problem of determining if cyclic sections which are older than 5 m.y. in age were deposited in response to orbital control is discussed. Gamma analysis, a method which uses the assumption that effective accumulation rates are facies dependent to minimize differences in cycle duration, is presented as a possible solution to this problem. While the assumptions of γ analysis are generally not met by geologic data, the effective accumulation rates estimated may be instrumental in recovering a spectrum which reveals orbital control. We address the problem of assessing the reliability of γ results by performing analyses on three cyclic time series generated by a forward model. Our results show that exact accumulation rates are not likely to be obtained by the method. However, the accumulation rates obtained markedly improve the time scale, resulting in a spectrum from which one could distinguish orbital forcing, if present. Only when spectra of cyclic data show predicted orbital peaks can γ analysis be considered to yield effective accumulation rates which are more nearly like the true effective accumulation rates than the assumption of a single effective accumulation rate for all facies.
Bond Gerard C.
Kominz Michelle A.
No associations
LandOfFree
Documenting the reliability and utility of the γ method as applied to cyclic sections using forward modeling does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Documenting the reliability and utility of the γ method as applied to cyclic sections using forward modeling, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Documenting the reliability and utility of the γ method as applied to cyclic sections using forward modeling will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1869843