| Developer: | Gordon Lister (7) | ||
| Price: | $99.99 | ||
| Rankings: | 0 | ||
| Reviews: | 0 Write a Review | ||
| Lists: | 0 + 0 | ||
| Points: | 1 + 0 ¡ | ||
| Mac App Store | |||
Description
All data is recorded in a single document using XML format, allowing recreation of the analysis, including isochrons, asymptotes and limits for individual spectra, and other parameters. Data for a single sample can be exported to the Wunderkind and MacArgon apps for inversion. Wunderkind uses 39Ar release data from ultra-high-vacuum (UHV) temperature-controlled step-heating diffusion experiments. MacArgon allows forward modelling of the effect of arbitrary pressure-temperature-time histories. Step colours are also saved in the eArgon document. A small screen format is also available for the Age Spectrum Window.
The weighted mean is used for isochrons on the age plot, using formula in Mahon 1996. If the MSWD is unacceptably high, a weighted average used instead reflecting the scatter of the individual steps [shown at the 2σ level] The Turner inverse 40Ar isotope correlation diagram uses the York 1969 regression as corrected by Mahon 1996 and Trappitsch 2018. The square root of the MSWD (Pearson's chi statistic) is used to assess the likelihood that the scatter in age is within the 95% probability limits defined using equations as set out by Wendt and Carl 1991 but here evaluating the approximations to the scatter distributions using the gamma function, and directly estimating the uncertainty in the chi-statistic.
The document-based architecture stores key aspects of the analysis of a set of argon age spectra, and for interpretation of associated argon isotope ratios. The weighted mean age is shown unless the scatter of the individual steps [shown at the 2σ level] nullifies the statistic . If the MSWD is too high to allow definition of a 'plateau' segment the mean age is shown with the scatter of the mean ages of individual steps defining the uncertainty.
Each age step displays the overall 2-sigma uncertainty, with the systematic uncertainties in age related to uncertainties in the J-factor and the decay constant discernible during mouse over events. Statistical analysis based on a section of steps is now bifurcated depending on age scatter. The systematic age uncertainties due to J-factor uncertainty and decay constant uncertainty can be reapplied, using a first-order Taylor expansion. By default, input without control parameters occurs as though uncertainty related to teh J-factor has been included. Use the toolbox options to remedy matters, if this is not correct.
The toolbox contains many useful routines, including two options for the estimation of the loss of 39Ar as the result of recoil during irradiation, or loss during prior warming of a sample. Generally these values are low, but they can be higher than normal in fine-grained or in partially altered sample aliquots. There are "How to ..." documents in the Instructions Menu.
There are options for selection of multiple datasets to allow synoptic plots, and allows for drag and drop reordering of a dataset collection.
Screenshots
What's new
- Version: 14.3.6
- Updated:
- Version §14.3.6 improves the startup procedure for individual documents.
Price History
- Today: $99.99
- Minimum: $79.99
- Maximum: $599.99
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Developer
- Gordon Lister
- Platforms: iOS Apps (2) macOS Apps (5)
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- Points: 5 + 1 ¡
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Additional Information
- Version: 14.3.6
- Category:
macOS Apps›Education - OS:
macOS,macOS 15.0 and up - Size:
2 Mb - Supported Languages:
English - Content Rating:
4+ - Mac App Store Rating:
0 - Updated:
- Release Date:
Contacts
- Website:
http://geologyCompass.com/eArgon/
«eArgon» is a Education app for macOS, developed by «Gordon Lister». It was first released on and last updated on . The lowest historical price was $79.99 on , and the highest was $599.99 on . This app has not yet received any ratings or reviews on AppAgg. AppAgg has tracked 1 confirmed points plus 0 indirect points for this app. Available languages: English. AppAgg continuously tracks the price history, ratings, and user feedback for «eArgon». Subscribe to this app or follow its RSS feed to get notified about future discounts or updates.
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