Radio Pulse API¶
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astrotf.radio.dm_one_delay(freq_lo_mhz, freq_hi_mhz)¶ Compute the dispersion delay of a DM = 1 signal.
Parameters: - freq_lo_mhz (float) – Lowest frequency in the observation range.
- freq_hi_mhz (float) – Highest frequency in the observation range.
Returns: The expected delay (in seconds) between the highest and lowest frequency of a DM=1 signal.
Return type: float
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class
astrotf.radio.FilterEngine(freq_lo_mhz, freq_hi_mhz, tol=0.0001, buffer_size=256, autoflush=True, nn_size=16, max_dm_diff=0.6)¶ -
filter(expression)¶ Generator function that filters a list of elements
Parameters: expression (An iterable object of elements where the first four values are (t', 'w', 'DM', 'SNR', ..)) – Returns: An iterator for a subset of the the elements.
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is_local_max(k)¶ Tests if a trigger in the active set is a local maximum
A trigger in the active set is a local maximum if the smallest wrapping and largest contained triggers both don’t have a larger SNR
Parameters: k (int) – the index number of the trigger to test Returns: True if the k-th trigger in the active set is a local maximum, else False Return type: bool
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polygon(t0, w, dm, num_steps=100)¶ Generate a list of vertices for plotting a pulse shape polygon.
Parameters: - t0 (float) – Start of the pulse at the top frequency
- w (float) – Width of the pulse
- dm (float) – Dispersion measure
- num_steps (int) – Number of ine segments
Returns: A list of vertices of the pulse [ (x0,y0), (x1,x1), ..
Return type: List of 2d-coordinate tuples
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reset()¶ Reset the statics and state of this class
Returns: None
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sort(data, colnames=None)¶ sort a list of triggers.
Parameters: - data (list of tuples or a pandas DataFrame) – A list of tuples (t0, width, dm, ..) or a pandas DataFrame
- of columns to sort on (colnames:list) – either [‘time’, ‘pulse_end’] or [‘time’, ‘width’, ‘dm’]
Returns: No return, sorts in-place.
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