Skip to main content

A 1D thermal model and thermochronometer age prediction code

Project description

Tc1D - A 1D thermal and thermochronometer age prediction model

DOI PyPI - Version Tests Documentation Status License: GPL v3 Binder

Tc1D is a one-dimensional thermal and thermochronometer age prediction model that can simulate the effects of various geodynamic and geomorphic processes on thermochronometer ages. It currently supports prediction of apatite and zircon (U-Th)/He and fission-track ages. Below you will find some essential details about using the code and detailed documentation can be found on the Tc1D documentation site.

Getting started

The easiest way to get started using Tc1D is via the launch binder button above. This will open an interactive demo of Tc1D using Binder. Instructions for how to install Tc1D are below.

Installation

You can install Tc1D in your Python environment using pip.

pip install tc1d

Note: In order for Tc1D to work properly you will also need to install the thermochronometer age prediction programs available in the Tccore package.

Usage

An example model with 10 km of exhumation and default values can be run from the command line as follows:

tc1d-cli --ero-option1 10.0

A full list of options that can be used with Tc1D can be found by running the code with the --help flag (or no specified flags):

tc1d-cli --help

This will return a usage statement and list of flags the code accepts.

References

  • Flowers, R. M., Ketcham, R. A., Shuster, D. L., & Farley, K. A. (2009). Apatite (U-Th)/He thermochronometry using a radiation damage accumulation and annealing model. Geochimica et Cosmochimica Acta, 73(8), 2347--2365.
  • Guenthner, W. R., Reiners, P. W., Ketcham, R. A., Nasdala, L., & Giester, G. (2013). Helium diffusion in natural zircon: Radiation damage, anisotropy, and the interpretation of zircon (U-Th)/He thermochronology. American Journal of Science, 313(3), 145–198. https://doi.org/10.2475/03.2013.01
  • Ketcham, R. A., Donelick, R. A., & Carlson, W. D.: Variability of apatite fission-track annealing kinetics III: Extrapolation to geological time scales. American Mineralogist, 84, 1235-1255, doi: 10.2138/am-1999-0903, 1999.
  • Ketcham, R. A., Carter, A., Donelick, R. A., Barbarand, J., & Hurford, A. J. (2007). Improved modeling of fission-track annealing in apatite. American Mineralogist, 92(5–6), 799--810.
  • Ketcham, R. A., Mora, A., and Parra, M.: Deciphering exhumation and burial history with multi-sample down-well thermochronometric inverse modelling, Basin Res., 30, 48-64, 10.1111/bre.12207, 2018.

License

The Tc1D is licensed under the GNU General Public License version 3: Tc1D software license

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tc1d-0.3.1.tar.gz (17.0 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

tc1d-0.3.1-py3-none-any.whl (97.6 kB view details)

Uploaded Python 3

File details

Details for the file tc1d-0.3.1.tar.gz.

File metadata

  • Download URL: tc1d-0.3.1.tar.gz
  • Upload date:
  • Size: 17.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-httpx/0.28.1

File hashes

Hashes for tc1d-0.3.1.tar.gz
Algorithm Hash digest
SHA256 ff2a04de3b159d3008f3ccaa0b496e480f3082db907a2656c28998e435f21713
MD5 aeeeefffb60a54ba8d18249f170e6f0a
BLAKE2b-256 e56689ae58d944b301a8b3e92adc58b4efb1ebb282b394ccb7fdf8c216889879

See more details on using hashes here.

File details

Details for the file tc1d-0.3.1-py3-none-any.whl.

File metadata

  • Download URL: tc1d-0.3.1-py3-none-any.whl
  • Upload date:
  • Size: 97.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-httpx/0.28.1

File hashes

Hashes for tc1d-0.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 1cd9200e48b776f5322f9fd2a3e3f812e0df1badb19f5da938e9a5c32513b66a
MD5 255e306ac7cfcb3f68a411329b6245a7
BLAKE2b-256 9a5612fed1533a965f7baca7bd854409defc6444a81745e629beef2003b42299

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page