opcsim.OPC¶

class opcsim.OPC(wl, bins=None, n_bins=5, dmin=0.5, dmax=2.5, theta=30.0, 90.0, **kwargs)¶

Define an Optical Particle Counter (OPC) with unique properties for wavelength, bins, and viewing angle.

__init__(self, wl, bins=None, n_bins=5, dmin=0.5, dmax=2.5, theta=(30.0, 90.0), \*\*kwargs)¶

Parameters

wl: float: The laser wavelength in units of microns.
bins: 3xn array: An array of bin diameters containing the (left boundary, midpoint, right boundary).
n_bins: int: The number of desired bins. This should be used with dmin and dmax to generate a 3xn array of bins.
dmin: float: The left-most bin boundary of the OPC.
dmax: float: The right-most bin boundary of the OPC.
theta: tuple of floats: The viewing range in units of degrees.

Returns

Examples

Initialize an OPC with 5 bins between 0.5 - 2.5 microns.

>>> opc = opcsim.OPC(wl=0.658, n_bins=5, dmin=0.5, dmax=2.5, theta=(30., 90.))

Initialize an OPC with known bins as defined by its bin boundaries.

>>> opc = opcsim.OPC(wl=0.658, bins=[0.38, 0.54, 0.78, 1.05, 1.5, 2.5], theta=(32., 88.))

Methods

`__init__`(self, wl[, bins, n_bins, dmin, …])	Parameters
`calibrate`(self, material[, method, mie_kws, …])	Calibrate the OPC assuming a specific material.
`evaluate`(self, distribution[, rh])	Return the total number of particles in each bin for a given AerosolDistribution.
`histogram`(self, distribution[, weight, base, rh])	Return a histogram containing the [weight] of particles in each OPC bin.
`integrate`(self, distribution[, dmin, dmax, …])	Integrate the distribution according to the OPC for any [weight].

Attributes

`ddp`	Bin width in microns
`dlogdp`	Log-weighted bin width in microns
`midpoints`	Bin midpoints in microns