exfor-tools 0.1.1

A lightweight interface to grab and organize differential cross sections from EXFOR, using the x4i3 library.

exfor-tools

Some lightweight tools to grab data from the EXFOR database using the x4i3 library, and organize it for visualization and use in the calibration of optical potentials

quick start

 pip install exfor-tools

Package hosted at pypi.org/project/exfor-tools/.

testing

TODO

examples and tutorials

Check out examples/

all_entries_lead208_pp = get_exfor_differential_data(
    target=(208, 82),
    projectile=(1, 1),
    quantity="dXS/dA",
    product="EL",
    energy_range=[10, 60], # MeV
)
print(f"Found {len(all_entries_lead208_pp.keys())} entries")
print(all_entries_lead208_pp.keys())

should print

Found 14 entries
dict_keys(['C0893', 'C1019', 'C2700', 'E1846', 'O0142', 'O0157', 'O0166', 'O0187', 'O0191', 'O0208', 'O0225', 'O0287', 'O0391', 'O0598'])

Now we can plot them.

measurements_condensed = sort_measurements_by_energy(all_entries_lead208_pp)
fig, ax = plt.subplots(1, 1, figsize=(6, 12))
entry = all_entries_lead208_pp["C0893"]
entry.plot_experiment(
    ax,
    offsets=50,
    measurements=measurements_condensed,
    label_offset_factor=2,
    label_hloc_deg=150,
    label_energy_err=False,
    label_offset=False,
)

This should produce the following figure: