Configuration File Guide

The AstroGeoFit tool uses a .yml configuration file to define the parameters required for execution. This section provides an overview of each section and its expected values.

This file is included file, in the package astrogeofit_latest.zip. To download the package check the section Download the AstroGeoFit Package

Note

• All the variables marked as Optional are optional variables. If no value is introduced they will be treated as Null values or default values depending of the variable.

• Not all the sections of the configuration file are necessary.

Configuration of the Datasets

A guide to set the parameters to configurate the obtention of the three main datasets (Primarly Data, Age-Depth Model and Eccentricity Solution) is given in the following section Configuration for the Datasets Used.

Data Model Parameters

This section defines the sedimentation rate range and astronomical frequency parameters (precession, eccentricity, tilt) used in the data model. See Data Model Parameters for details.

Significance Test

Defines the parameters required to run the Significance Test, including configuration for the genetic algorithm and evaluation settings. See Significance Test Parameters.

Genetic Algorithm

This section defines the parameters that control the genetic algorithm used to optimize model fitting, including population size, number of generations, interpolation method, and fitness metric. Genetic Algorithm Parameters.

Bayesian MCMC

The MCMC analysis settings are defined in the MCMC Parameters. These parameters control the behavior of the Markov Chain Monte Carlo algorithm, including chain length, thinning, processor usage, and prior distributions for the orbital frequencies.

MCMC Weights

This section defines the configuration used for computing model weights based on MCMC output. It includes the number of evaluations, parallelization settings, numerical stability factor, and whether Pareto smoothing is applied.

For full details, see: Weight Parameters.

Output Configuration

For details on how to configure where and how results are saved, see the Output Parameters.

Example Configuration File

Some examples of what the configuration file might look like depending on which is the goal of the analysis that wantst to be done.

The values shown on these examples are the values used to obtain the results for the ODP_926. See the examples in Example Configuration File.

Contents:

• Configuration for the Datasets Used
  • Main Dataset
    • Parameters
  • Age-Depth Model
    • Parameters
  • Eccentricity Solution Dataset
    • Parameters
• Data Model Parameters
  • Parameters
    • Sedimentation Rate Range
    • Frequency Model
• Genetic Algorithm Parameters
  • Parameters
• MCMC Parameters
  • Parameters
• Weight Parameters
  • Parameters
• Significance Test Parameters
  • Parameters
• Output Parameters
  • Parameters
• Example Configuration File
  • Table of Examples
  • Execute Genetic Algorithm Fitting and MCMC With a Age-Depth Model and a Eccentricity Solution
  • Execute Genetic Algorithm Fitting Without a Age-Depth Model and a Eccentricity Solution
  • Execute Significance Test
  • Example MCMC and Weights (Only using eccentricity and precession. Using uniform distributions for prior values )
  • Execute Genetic Algorithm Fitting with fixed frequencies (only using eccentricity and precession)