ODP 1260

Python Version License

ODP Site 1260, drilled during Leg 207 on the Demerara Rise in the tropical western Atlantic, recovered an Eocene cyclic sedimentary sequence (Erbacher et al., 2004). The stratigraphy is well constrained by biostratigraphic and magnetostratigraphic data (Erbacher et al., 2004; Suganuma & Ogg, 2006; Edgar et al., 2007). High-resolution XRF core scanning data, particularly Fe intensity, were produced for cyclostratigraphy by Westerhold & Röhl (2013). The record exhibits a strong precession signal modulated by eccentricity, making it ideal for eccentricity reconstruction. This study focuses on the 42–44 Ma interval (magnetochrons C18r–C20r), where different eccentricity solutions begin to show slight divergence.


Files in the data Folder


Data Used

File

Description

Reference

Transformations / Pre-Processing

Version

ODP1260.txt

Fe intensity data from ODP Site 1260 (80–135 rmcd), used for cyclostratigraphic reconstruction. Data display strong climatic precession imprint modulated by eccentricity; estimated age interval is 41.711–44.003 Ma.

Westerhold & Röhl (2013)

Detrended using LOWESS with 30% smoothing; normalized to zero mean and unit variance.

1.0

ggge20293-sup-0011-suppinfo06.txt

Cyclostratigraphic age model for ODP 1260 providing the composite depth and age framework used in the analysis.

Westerhold & Röhl (2013)

Used directly; sedimentation rate range (~1–5 cm/kyr) guided model parameter search.

1.0

La2010b_ecc3L.txt

La2010 astronomical eccentricity solution used for frequency modeling, focusing on eccentricity and climatic precession cycles where obliquity contribution is weak.

Laskar et al. (2004, 2011)

Used directly without modification.

1.0


Execute the Example

Note

  • The folder examples has to bee in the same directory as the AstroGeoFit_tool.py file. If not, this will not work.

To run the example, open a terminal in the AstroGeoFit folder. Once this is open execute the following

python AstroGeoFit_tool.py --odp_1260

This command will execute the significance test, the genetic algorithm fitting, the MCMC, and the MCMC weights calculation.

If you only want to run specific components (e.g., the genetic algorithm fitting and the MCMC), you can use:

python AstroGeoFit_tool.py --odp_1260 -fit -mcmc

The full list of execution options can be found in AstroGeoFit Script Execution


Visualization of the Results

To visualize the results, you can use the two Jupyter notebooks provided. To obtain the results of the ODP_1260 data, just modify the variable configuration_file_path in the following way:

configuration_file_path = "odp_1260"

And then the visualization notebook will be ready to be executed.

For a detailed guide on using the notebooks and interpreting the figures, please refer to Visualization of the Results Guide.