Tutorials

In the following tutorials we explore meltPT’s range of functionality. All analyses in meltPT require an input file containing compositions of samples to be analysed. We first describe what this file must/can contain, and it how it will be dealt with by meltPT.

In Tutorials 1-4 we go through example Python scripts that utilise meltPT various capabilities. If you are used to working in Python, we hope neltPT’s various classes and functions will be straightforward to get used to and you will be writing your own scripts in no time.

In Tutorial 5, we show how to use meltPT’s built in command-line tool. This mode of working is less flexible but does not require you to write your own Python code.

In Tutorial 6, we outline how to implement your own thermobarometer in the context of meltPT.

All scripts and data corresponding to these Tutorials can be found on our GitHub page or in the Zenodo archive. Moreover, the tutorials can also be downloaded as Jupiter Notebook files here.

Note that, if you installed meltPT in a virtual environment, you might have some problems displaying images created with matplotlib: the default matplotlib backend is sometimes “agg”, which cannot show figures. There does not seem to be a universal solution to this issue, so please see here for some options on how to proceed.

Contents:

• The Input File
  • Major elements: Required
  • Major elements: Optional
  • Trace elements and major-element parameterisation
  • Primary compositions
  • Other information
• Tutorial 1: First steps
  • Importing libraries
  • Reading data and initialising the Suite object
  • Backtrack compositions
  • Compute pressures & temperatures
  • Fit a melting path
  • Variable Kd
  • Plotting
  • Testing different thermobarometric schemes
• Tutorial 2: MORBs
  • Importing libraries
  • Create Data for Figure 2a
  • Create Data for Figures 2b-d
  • Plot Figure 2
• Tutorial 3: Hawai’ian Islands
  • Import Code
  • Generate Data
  • Plot Figure 5c,i,o,u
• Tutorial 4: Benchmarking
  • Import Code
  • Thermometers
  • Using Thermobarometers
• Tutorial 5: The Command-Line Tool
  • Windows
• Tutorial 6: Custom Thermobarometers
• Tutorial 7: Custom Reverse Fractionation
• Tutorial 8: Monte Carlo error analysis
  • A useful class
  • Parameters values
  • Basic run
  • Monte Carlo run
  • Results