Wagner, Rick; Hallman, Eric J.; O’Shea, Brian W.; Burns, Jack O.; Norman, Michael L.; Harkness, Robert; So, Geoffrey (2013). Data Processing Tools. In The Santa Fe Light Cone Simulation research project files. Data version 1.0. UC San Diego Library Digital Collections. https://doi.org/10.6075/J0XS5VKM

There are three example scripts which are used together for generating images from the datasets and projected fields. The scripts will produce the image files found in the Projections derived data sub-component for each "Data at Redshift" component.

• 2013

The scripts were written to run in POSIX environment using a combination of Bash, Python, and some supporting Python libaries. The spcefic Python libaries are NumPy, h5py, and Matplotlib.

To regenerate the images, the script "plot-fields.sh" must be modified to contain the location of the script named "plotarray" and the directory containing the light cone projections. The script "field_plot.py" must be in the same directory as "plotarray," or in the user's Python seach path.

This Bash script iterates over directories containing the light cone data sets, and calls the plotarray script with specific data ranges and color maps for each physical field.

This Python script interprets command line arguments, and calls the functions in field_plot.py.

This is a Python module, which contains functions to read in 2D arrays from HDF5 files, and plot them using Matplotlib, given a color map and data range.

• data

• No linguistic content; Not applicable

Doi: https://doi.org/10.6075/J0XS5VKM

Online finding aid

• Santa Fe Light Cone Simulation research project files: https://www.oac.cdlib.org/findaid/ark:/13030/c8r78fzq

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2023-08-17