source_name_list,
                          offset=0,
                          plot_snr_list=False,
                          **kwargs):

    #load in the data for each individual hit
    for i in range(0, len(candidate_event_dataframe)):
        candidate = candidate_event_dataframe.iloc[i]
        on_source_name = candidate['Source']
        f_mid = candidate['Freq']
        drift_rate = candidate['DriftRate']

        #calculate the length of the total cadence from the fil files' headers
        first_fil = bl.Waterfall(fil_file_list[0], load_data=False)
        tfirst = first_fil.header['tstart']
        last_fil = bl.Waterfall(fil_file_list[-1], load_data=False)
        tlast = last_fil.header['tstart']
        t_elapsed = Time(tlast, format='mjd').unix - Time(tfirst, format='mjd').unix + (last_fil.n_ints_in_file -1) * last_fil.header['tsamp']

        #calculate the width of the plot based on making sure the full drift is visible
        bandwidth = 2.4 * abs(drift_rate)/1e6 * t_elapsed
        bandwidth = np.max((bandwidth, 500./1e6))

        #Get start and stop frequencies based on midpoint and bandwidth
        f_start, f_stop = np.sort((f_mid - (bandwidth/2),  f_mid + (bandwidth/2)))

        #Print useful values
        print('')
        print('*************************************************')
        print('***     The Parameters for This Plot Are:    ****')
        print('Target = ', on_source_name)
        print('Bandwidth = ', round(bandwidth, 5), ' MHz')

Most popular functions for blimpy

To help you get started, we’ve selected a few blimpy examples, based on popular ways it is used in public projects.

blimpy.io.sigproc

blimpy.utils.rebin

blimpy.Waterfall