| 开发人员: | Gordon Lister (7) | ||
| 价格: | $250.00 | ||
| 排名: | 0 | ||
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| Mac App Store | |||
说明
Wunderkind §2 uses multicore technology for inversion of data from ultra-high-vacuum temperature-controlled step-heating 39Ar diffusion experiments using Monte Carlo methods. A 'seed' estimate is provided, and then Wunderkind attempts to climb towards a better fit. These calculations can continue sometimes for many days in succession, intelligently monitoring the time between successful iterations, adjusting the range of scattering to suit. Plots of can be made showing the fractal dimensions of the inferred diffusion domains. The inversion process can be restarted from solutions stored previously in the sandbox.
Version §3 allows estimates as to the effect of prior loss of 39Ar, either during neutron irradiation in the reactor core, or during protracted warming to clean a sample of extraneous 40Ar. Interactive simulations allows the option to correct for the effect of this loss of 39Ar prior to measurement.
A correction can be made for the percentage of 39Ar lost prior to measurement (either by recoil during neutron irradiation, or during cleaning to rid the sample of unwanted gas in fast diffusion pathways). An XML tag records the state of the checkbox in the Arrhenius plot window, and the value of the assumed percentage recoil used to make the correction.
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新版变化
- 版本: 3.3.7
- 已更新:
- Version §3.3 introduces background information and improves the interface. Version §3.3.0 adjusts use of the prior loss parameter for 39Ar. Version §3.3.1 addresses some issues in respect to display after performing the recoil correction. Version §3.3.3 accelerates the Monte Carlo process when it is achieving success. Version §3.3.4 corrects an issue when calculating closure temperature for various iterations in a defined fractal diffusion domain. Version §3.3.7 corrects an issue to do wth the display of an age plot.
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- Gordon Lister
- 平台: iOS 应用 (2) macOS 应用 (5)
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