Python FilReader.dedisperse Exemples

Exemple #1

Fichier : brute_force.py Projet : peterniuzai/2DFFT-transient_search_Pipeline

import numpy as np
from sigpyproc.Readers import FilReader
import sys
from DM_calculate import time_delay
import matplotlib.pyplot as plt

if __name__ == '__main__':
    DM_range = [50, 100]
    f_dir = '../data/'
    f_name = 'noise_level_test.fil'
    f = FilReader(f_dir + f_name)
    data = f.dedisperse(100)
    std = data[:2000].std()
    mean = data[:2000].mean()
    #    snr = (data.max()-mean)/std
    snr = (data.max() - data.mean()) / data.std()
    lo = np.where(data == data.max())
    flag = 0
    for i in range(len(lo[0])):
        if 2490 < lo[i][0] < 2505:
            flag = 1
            print 'True'
        else:
            print 'False'
    print snr
    plt.plot(data)
    plt.show()
    exit(1)
    hdr = f.header
    ftop = hdr['ftop']
    nsample = hdr['nsamples']

Exemple #2

Fichier : De-dispersion.py Projet : peterniuzai/2D-FFT_FRB_search

import numpy as np
import matplotlib.pyplot as plt
from sigpyproc.Readers import FilReader
import time

t1 = time.time()
f_dir = '../data/'
f_name = 'out.fil'
f = FilReader(f_dir + f_name)
#dm = np.linspace(1,2000,1000)
DM = 100
snr = []
dd = f.dedisperse(DM)
snr = (dd.max() - dd.mean()) / dd.std()
t2 = time.time()
t_tol = t2 - t1
print "Time Total:", t_tol, " s = ", t_tol / 60., " m"

plt.title("SNR:" + str(snr))
plt.xlabel("SRC:" + f.header['source_name'])
plt.plot(dd)
plt.show()

Exemple #3

Fichier : dedisperse.py Projet : ewanbarr/sigpyproc

from sys import argv
from sigpyproc.Readers import FilReader
fil = FilReader(argv[1])
tim = fil.dedisperse(float(argv[2])).toFile("%s_DM%s.tim"%(fil.header.basename,argv[2]))

Exemple #4

Fichier : sigproc.py Projet : peterniuzai/2D-FFT_FRB_search

import numpy as np
import matplotlib.pyplot as plt
from sigpyproc.Readers import FilReader
import time
import sys

f_dir = '../data/'
f_name = 'fake_test.fil'
f = FilReader(f_dir + f_name)
DM = float(sys.argv[1])
t1 = time.time()
d = f.dedisperse(DM)
t2 = time.time()
t_c = (t2 - t1) / 60
d0 = f.dedisperse(0)
snr = (d.max() - d.mean()) / d.std()
lo = np.where(d == d.max())

print 'SNR:', snr
print 'DM:', DM
print 'Location:', lo[0]
print 'Dedispersion cost:', t_c, '(min)'
print 'Data length(at DM:' + str(DM) + '): ', d.shape[0]
print 'Data length(at DM0): ', d0.shape[0]
plt.figure(figsize=[14, 8])
plt.plot(d, label='DM at ' + str(DM) + ', SNR:' + str(int(snr)))
plt.plot(d0, label='DM at 0')
plt.plot(lo[0], d[lo[0]], 'ro', label='Max loc:' + str(lo[0]))
plt.grid()
plt.legend(loc='best')
plt.show()

Exemple #5

Fichier : dedisperse.py Projet : ewanbarr/sigpyproc3

from sys import argv
from sigpyproc.Readers import FilReader
fil = FilReader(argv[1])
tim = fil.dedisperse(float(
    argv[2])).toFile(f"{fil.header.basename}_DM{argv[2]}.tim")

Exemple #6

from sys import argv
from sigpyproc.Readers import FilReader
fil = FilReader(argv[1])
tim = fil.dedisperse(float(argv[2])).toFile("%s_DM%s.tim" %
                                            (fil.header.basename, argv[2]))

Exemple #7

#!/usr/bin/python
from sigpyproc.Readers import FilReader
import sigpyproc.Filterbank
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
#compute the bandpass and frequency of each channel
fil = FilReader("test500.fil")
tim = fil.dedisperse(56.75).toFile(filename="test500.tim")
print(tim)