pycrtools.tasks.directionfitbf

CoordinateGrid([obstime, ut1_utc, L, phi])	Coordinate grid for images.
DirectionFitBF([ws, parfile])	Find direction by maximizing the beamformed signal using a simplex fit.
Task([ws, parfile])	Base class from which all tasks should be derived.
fmin_powell(func, x0[, args, xtol, ftol, ...])	Minimize a function using modified Powell’s method.

Module documentation

Module author: Pim Schellart <P.Schellart@astro.ru.nl>

class pycrtools.tasks.directionfitbf.DirectionFitBF(ws=None, parfile=None, **kwargs)

Find direction by maximizing the beamformed signal using a simplex fit.

Input parameters

antpos [default value: None ]

Antenna positions.

beamformed_fft

Resulting beamformed FFT signal.

blocksize

Number of samples in a block.

delays

Delays used for beamforming

fft_data [default value: None ]

Input FFT data.

frequencies [default value: None ]

Frequencies.

ifftwplan

FFTW plan for inverse transform.

maxiter [default value: 100 ]

Maximum number of iterations in simplex fit.

nantennas

Number of antennas.

nfreq

Number of frequencies.

start_direction [default value: (0.0, 90.0) ]

Pointing as (az, el) tuple in degrees in the LOFAR convention.

xtol [default value: 1.0 ]

Convergence is assumed when direction varies less than this value in each direction between iterations.

Output parameters

beamformed_timeseries

Timeseries data.

fit_direction [default value: None ]

Pointing as (az, el) tuple in degrees in the LOFAR convention.

run()

Run the task.