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ZH: invert sign for baseline phase diff a[j,i]
When building the matrix, make sure to introduce a minus sign such that a[i,j] = - a[j,i]
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1 changed files with 8 additions and 8 deletions
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@ -43,20 +43,20 @@ if __name__ == "__main__":
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N_base = len(basenames)
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N_ant = len(antennas)
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# reshape time_diffs into N_ant x N_ant array
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# reshape time_diffs into N_ant x N_ant matrix
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sigma_phase_matrix = np.full( (N_ant, N_ant), np.nan, dtype=float)
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#sigma_phase_matrix = np.arange(0, N_ant**2, dtype=float).reshape( (N_ant,N_ant))
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## set i=i terms to 0
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for i in range(N_ant):
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sigma_phase_matrix[i,i] = 0
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## fill matrix
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name2idx = lambda name: int(name)-1
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for i, b in enumerate(basenames):
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idx = (name2idx(b[0]), name2idx(b[1]))
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if idx[0] == idx[1]:
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# hopefully 0
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pass
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sigma_phase_matrix[(idx[0], idx[1])] = lib.phase_mod(true_phase_diffs[i])
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sigma_phase_matrix[(idx[1], idx[0])] = lib.phase_mod(true_phase_diffs[i])
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sigma_phase_matrix[(idx[1], idx[0])] = lib.phase_mod(-1*true_phase_diffs[i])
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mat_kwargs = dict(
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norm = Normalize(vmin=-np.pi, vmax=+np.pi),
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@ -82,7 +82,7 @@ if __name__ == "__main__":
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if True:
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# for each row j subtract the 0,j element from the whole row
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# and apply phase_mod
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first_row = (sigma_phase_matrix[0,:] * np.ones_like(sigma_phase_matrix)).T
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first_row = -1*(sigma_phase_matrix[0,:] * np.ones_like(sigma_phase_matrix)).T
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# Show subtraction Matrix as figure
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if True:
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