pycrtools.core.hftools.mCalibration

pycrtools.core.hftools.mCalibration.hProjectPolarizations()

hProjectPolarizations(polx, poly, polz, polt, polp, az, el)

Project on-sky polarizations onto x,y,z.

Parameters

polx	Polarization X.
poly	Polarization Y.
polz	Polarization Z.
polt	Polarization theta.
polp	Polarization phi.
az	Azimuth in radians East positive from North.
el	Elevation in radians positive up.

pycrtools.core.hftools.mCalibration.hProjectPolarizationsInverse()

hProjectPolarizationsInverse(pol0, pol1, polx, poly, polz, az, el)

Project on-sky polarizations onto x,y,z.

Parameters

pol0	Polarization 0.
pol1	Polarization 1.
polx	Polarization X.
poly	Polarization Y.
polz	Polarization Z.
az	Azimuth with respect to antenna frame.
el	Elevation with respect to antenna frame.

pycrtools.core.hftools.mCalibration.hStokesParameters()

hStokesParameters(S, polx, poly, polxh, polyh, signal_start, signal_end)

Calculate Stokes parameters I, Q, U and V

Parameters

S	Stokes parameters I, Q, U and V.
polx	Polarization X.
poly	Polarization Y.
polxh	Hilbert transform of polarization X.
polyh	Hilbert transform of polarization Y.
signal_start	Start of signal window.
signal_end	End of signal window.

pycrtools.core.hftools.mCalibration.hGetJonesMatrix()

hGetJonesMatrix(J, f, az, el, Vtheta, Vphi, fstart, fstep, fn, tstart, tstep, tn, pstart, pstep, pn)

Calculate Jones matrix for given frequencies and positions.

Parameters

J	Jones matrix.
f	Frequency.
az	Azimuth in degrees East positive from North.
el	Elevation in degrees positive up.
Vtheta	Table with response of theta polarization.
Vphi	Table with response of phi polarization.
fstart
fstep
fn
tstart
tstep
tn
pstart
pstep
pn

pycrtools.core.hftools.mCalibration.hDiagonalMatrix()

hDiagonalMatrix(M, v)

Create matrix with a given values on the diagonal

Parameters

M	Square diagonal matrix.
v	Values to put on the diagonal.

pycrtools.core.hftools.mCalibration.hSwap()

hSwap(vec0, vec1)

Swap two vectors

Parameters

vec0	Vector 0.
vec1	Vector 1.

pycrtools.core.hftools.mCalibration.hMatrixMix()

hMatrixMix(vec0, vec1, M)

Mix two vectors using a mixing matrix

Parameters

vec0	Vector 0.
vec1	Vector 1.
M	2 dimensional mixing matrix.

pycrtools.core.hftools.mCalibration.hInvertMatrix()

hInvertMatrix(Minv, M, n)

Invert n x n matrix

Parameters

Minv	Inverse matrix (can be the same as the input to save memory).
M	Matrix.
n	Dimension.

pycrtools.core.hftools.mCalibration.hInvertComplexMatrix()

hInvertComplexMatrix(Minv, M, n)

Invert n x n matrix

Parameters

Minv	Inverse matrix (can be the same as the input to save memory).
M	Matrix.
n	Dimension.

pycrtools.core.hftools.mCalibration.hMultiplyMatrix()

hMultiplyMatrix(C, A, B, n, m, p)

Multiply two matrices

Parameters

C	Output (n * p) matrix (can be the same as one of the two inputs to save memory but only for square matrices).
A	Input (n * m) matrix.
B	Input (m * p) matrix.
n	Dimension.
m	Dimension.
p	Dimension.

pycrtools.core.hftools.mCalibration.hMultiplyComplexMatrix()

hMultiplyComplexMatrix(C, A, B, n, m, p)

Multiply two matrices

Parameters

C	Output (n * p) matrix (can be the same as one of the two inputs to save memory but only for square matrices).
A	Input (n * m) matrix.
B	Input (m * p) matrix.
n	Dimension.
m	Dimension.
p	Dimension.

pycrtools.core.hftools.mCalibration.hInvertComplexMatrix2D()

hInvertComplexMatrix2D(Minv, M)

Invert 2 x 2 matrix

Parameters

Minv	Inverse matrix (can be the same as the input to save memory).
M	Matrix.

pycrtools.core.hftools.mCalibration.hNumberOfConsecutiveZeros()

hNumberOfConsecutiveZeros(nof, signal)

Data validation check

Parameters

nof	Number of consectutive zeros.
signal	Signal