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A Python package for setting up DDSCAT jobs and analysing the results.

Project description

ScatPy is a Python package for interfacing to the popular scattering simulator DDSCAT. ScatPy provides a rich toolset to:

  • Create standard DDSCAT scattering targets based on physical (rather than dipole) dimensions
  • Construct and visualize complex custom scattering targets
  • Manage the job parameters found in the ddscat.par file
  • Organize iterative jobs requiring multiple targets or input parameters
  • Script job submission to cluster queue managers
  • Maintain profiles and defaults for deployment on platforms other than the local machine
  • Load, plot and manipulate DDSCAT output tables
  • Manage the output from multiple jobs through results collections
  • Work with and visualize nearfield results as multidimensional numpy arrays
  • Suitable for interactive or scripted use

Documentation

Complete documentation can be found at:
http://pythonhosted.org/ScatPy

Download

The package can be downloaded for installation via easy_install at
https://pypi.python.org/pypi/ScatPy

Example

from ScatPy import *

# Establish target geometry (in um)
length = 0.100
radius = 0.020
target = targets.CYLNDRCAP(length, radius, d=0.005, material='Au_Palik.txt')

# Create a job to be run in the subdirectory tmp/
job = DDscat(folder = './tmp', target=target)

# Change the range of calculated wavelengths and ambient index
job.settings.wavelengths = ranges.How_Range(0.300, 0.600, 15)
job.settings.NAMBIENT = 1.0

# Run the job locally
job.calculate()

# Open the results qtable, plot Q_sca, and Q_abs, and add a legend
ans = results.QTable(folder = './tmp')
ax = ans.plot(['Q_sca', 'Q_abs'])
ax.legend(loc=0)

Project details


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