rfim

class time_domain_astronomy_sandbox.rfim.RFIm

RFIm class. A class for radio interference mitigation.

fdsc(data, bin_size=32, threshold=2.75)

Frequency domain sigma cut.

(Modified code from https://github.com/liamconnor/arts-analysis/blob/master/triggers.py)

Parameters:

• data (Numpy.Array) -- 2D Array
• bin_size (int) -- Size of averaging bin Size
• threshold (float) -- Threshold to use for sigma cut inequality

fdsc_amber(data, bin_size=32, threshold=2.75, n_iter=1, symmetric=False)

Frequency domain sigma cut.

Parameters:

• data (Numpy.Array) -- 2D Array
• bin_size (int) -- Size of averaging bin Size
• threshold (float) -- Threshold to use for sigma cut inequality
• n_iter (int) -- Number of cleaning iteration
• symmetric (bool) -- Filter equally or not on both side of the distribution

fdsc_old(data, bin_size=32, threshold=2.75, n_iter=1)

Frequency domain sigma cut.

Parameters:

• data (Numpy.Array) -- 2D Array
• bin_size (int) -- Size of averaging bin Size
• threshold (float) -- Threshold to use for sigma cut inequality
• n_iter (int) -- Number of cleaning iteration

tdsc(data, threshold=3.25, n_iter=1)

Time domain sigma cut.

(Modified code from https://github.com/liamconnor/arts-analysis/blob/master/triggers.py)

Parameters:

• data (Numpy.Array) -- 2D Array
• threshold (float) -- Threshold to use for sigma cut inequality
• n_iter (int) -- Number of cleaning iteration

tdsc_amber(data, threshold=3.25, n_iter=1, symmetric=False)

Time domain sigma cut as implemented in AA-ALERT RFIm.

Parameters:

• data (Numpy.Array) -- 2D Array
• threshold (float) -- Threshold to use for sigma cut inequality
• n_iter (int) -- Number of cleaning iteration
• symmetric (bool) -- Filter equally or not on both side of the distribution

tdsc_per_channel(data, threshold=3.25, n_iter=1)

Time domain sigma cut.

(Code from https://github.com/liamconnor/arts-analysis/blob/master/triggers.py)

Parameters:

• data (Numpy.Array) -- 2D Array
• threshold (float) -- Threshold to use for sigma cut inequality
• n_iter (int) -- Number of cleaning iteration