EVOLVING TEMPERATURE HISTORIES FROM APATITE FISSION-TRACK DATA
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dc.contributor.author | Gallagher K. | |
dc.date.accessioned | 2020-11-24T04:34:52Z | |
dc.date.available | 2020-11-24T04:34:52Z | |
dc.date.issued | 1995 | |
dc.identifier | https://elibrary.ru/item.asp?id=658632 | |
dc.identifier.citation | Earth and Planetary Science Letters, 1995, , 3, 421-435 | |
dc.identifier.issn | 0012-821X | |
dc.identifier.uri | https://repository.geologyscience.ru/handle/123456789/19476 | |
dc.description.abstract | A procedure for quantifying thermal histories from apatite fission-track data is presented. Given an appropriate annealing algorithm, or forward model, the problem is to determine a best-fit thermal history and quantify the resolution of this solution. Also, a priori geological information should be readily incorporated. Due to the non-linear nature of the problem, conventional inversion methods such as iterative least squares are inappropriate. The procedure described here relies on an initial stochastic search of a broad range of potential thermal histories using a genetic algorithm (GA). These techniques are extremely efficient in defining the regions of time-temperature space where good data-fitting solutions occur. However, the best model found with a genetic algorithm is generally non-optimal. Therefore, a multi-dimensional direct search method is used to update the best GA solution. A variety of standard statistical methods are considered to define confidence regions around this refined best thermal history. | |
dc.title | EVOLVING TEMPERATURE HISTORIES FROM APATITE FISSION-TRACK DATA | |
dc.type | Статья |
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