示例#1
0
if opts.realtime:
    '''####################################################
    #                    REALTIME                         #
    ####################################################'''

    from ECHO_time_utils import find_peak
    from ECHO_plot_utils import *

    fmin,fmax = int(opts.freq)-1,int(opts.freq)+1 # MHz; for plotting
    time_range = 200 # Time range in seconds of peak plot window
    rmswindow = 10

    # Get initial data from Signal Hound
    spec_times,spec_raw,freqs,lats,lons,alts = get_data(opts.acc_file,
                                                        filetype='echo',
                                                        freq=137.500)
    #print freqs.shape,spec_raw.shape
    if spec_times.shape[0] == 0: # Ensure data in inFile
        print 'Invalid data: array with zero dimension\nExiting...\n'
        sys.exit()

    # Initialize plotting figure
    fig = plt.figure(figsize=(16,9),dpi=80,facecolor='w',edgecolor='w')
    #mng = plt.get_current_fig_manager() # Make figure full screen
    fig.suptitle('ECHO Realtime Data Visualization for %s' %opts.acc_file,fontsize=16)

    # Spectrum plot initialization
    gsl = gridspec.GridSpec(2,1) # Sets up grid for placing plots
    spec_plot = fig.add_subplot(gsl[0]) # Initialize the spectrum plot in figure
    spec_line, = spec_plot.plot(freqs,spec_raw[0,:])
示例#2
0
# Check for latitude and longitude of antenna under test
if not (opts.lat0 and opts.lon0):
    print '\nLatitude (--lat0) and Longitude (--lon0) required...\n'
    sys.exit()

DELAY_TIME = 0.3  # Time delay between queries of ECHO_server.py
last_row_index = 0  # Index for SH time queries
freq_chan = 0  # Index in spectrum of Valon synth peak freq
freqs = []  # Store frequencies in SH spectrum

print ' '
# Read in initial SH data
spec_times, spec_raw, freqs, freq_chan = get_data(opts.spec_file,
                                                  filetype='sh',
                                                  freqs=freqs,
                                                  freq=opts.freq,
                                                  freq_chan=freq_chan,
                                                  width=opts.width,
                                                  nfft=opts.nfft)  #,
#isList=opts.isList)
print 'Read in %s spectra spanning %s frequencies\n' % (spec_times.shape[0],
                                                        freqs.shape[0])

# Get date/time info for file naming
date_time = spec_times[0].iso.split(' ')
time_str = '-'.join(date_time[-1].split(':')).split('.')[0]
#outfile_str = 'acc_'+date_time[0]+'_'+time_str+'.txt'
outfile_str = opts.acc_file

# Header information for output file
headstr = '# Accumulated data for ' + ','.join(date_time)
示例#3
0
import numpy as np
import time,optparse,sys
from glob import glob
import healpy as hp

from astropy.time import Time
from ECHO.read_utils import get_data
from ECHO.plot_utils import make_beam,grid_to_healpix
from ECHO.time_utils import unix_to_gps
from ECHO.read_utils import read_apm_logs,flag_angles,apply_flagtimes,read_orbcomm_spectrum,channel_select,interp_rx,dB
o = optparse.OptionParser()
o.add_option('--nsides',type=int,default=8,
    help='Number of sides for Healpix plotting (Default = 8)')
opts,args = o.parse_args(sys.argv[1:])

infile = sys.argv[1]
spec_times,spec_raw,freqs,lats,lons,alts = get_data(infile,
                                                filetype='echo')

hpx_beam,hpx_rms,hpx_counts = grid_to_healpix(lats[1:],lons[1:],
                                                alts,spec_raw,
                                                lat0=lats[0],
                                                lon0=lons[0],
                                                nside=opts.nsides)

hp.write_map(infile[:-4]+'_'+str(opts.nsides)+'_beam.fits',hpx_beam)
hp.write_map(infile[:-4]+'_'+str(opts.nsides)+'_rms.fits',hpx_rms)
hp.write_map(infile[:-4]+'_'+str(opts.nsides)+'_counts.fits',hpx_counts)
示例#4
0
if not (opts.lat0 and opts.lon0):
   print '\nLatitude (--lat0) and Longitude (--lon0) required...\n'
   sys.exit()


DELAY_TIME = 0.3 # Time delay between queries of ECHO_server.py
last_row_index = 0 # Index for SH time queries
freq_chan = 0 # Index in spectrum of Valon synth peak freq
freqs = [] # Store frequencies in SH spectrum

print ' '
# Read in initial SH data
spec_times,spec_raw,freqs,freq_chan = get_data(opts.spec_file,
                                               filetype='sh',
                                               freqs=freqs,
                                               freq=opts.freq,
                                               freq_chan=freq_chan,
                                               width=opts.width,
                                               nfft=opts.nfft)#,
                                               #isList=opts.isList)
print 'Read in %s spectra spanning %s frequencies\n' %(spec_times.shape[0],
                                                         freqs.shape[0])


# Get date/time info for file naming
date_time = spec_times[0].iso.split(' ')
time_str = '-'.join(date_time[-1].split(':')).split('.')[0]
#outfile_str = 'acc_'+date_time[0]+'_'+time_str+'.txt'
outfile_str = opts.acc_file

# Header information for output file
示例#5
0
if opts.realtime:
    '''####################################################
    #                    REALTIME                         #
    ####################################################'''

    from ECHO_time_utils import find_peak
    from ECHO_plot_utils import *

    fmin, fmax = int(opts.freq) - 1, int(opts.freq) + 1  # MHz; for plotting
    time_range = 200  # Time range in seconds of peak plot window
    rmswindow = 10

    # Get initial data from Signal Hound
    spec_times, spec_raw, freqs, lats, lons, alts = get_data(opts.acc_file,
                                                             filetype='echo',
                                                             freq=137.500)
    #print freqs.shape,spec_raw.shape
    if spec_times.shape[0] == 0:  # Ensure data in inFile
        print 'Invalid data: array with zero dimension\nExiting...\n'
        sys.exit()

    # Initialize plotting figure
    fig = plt.figure(figsize=(16, 9), dpi=80, facecolor='w', edgecolor='w')
    #mng = plt.get_current_fig_manager() # Make figure full screen
    fig.suptitle('ECHO Realtime Data Visualization for %s' % opts.acc_file,
                 fontsize=16)

    # Spectrum plot initialization
    gsl = gridspec.GridSpec(2, 1)  # Sets up grid for placing plots
    spec_plot = fig.add_subplot(