ScatPy 0.1.1

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

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)