Loading minke/mdctools.py +16 −13 Original line number Diff line number Diff line Loading @@ -565,7 +565,7 @@ class Frame(): log += "\n" return log def generate_gwf(self, mdc, directory, channel="SCIENCE", force=False): def generate_gwf(self, mdc, directory, channel="SCIENCE", force=False, rate=16384.0): """ Produce the gwf file which corresponds to the MDC set over the period of this frame. Loading Loading @@ -603,15 +603,15 @@ class Frame(): # Loop through each interferometer for ifo in self.ifos: # Calculate the number of samples in the timeseries nsamp = (self.end-self.start)*16384 nsamp = (self.end-self.start)*rate # Make the timeseries h_resp = lal.CreateREAL8TimeSeries("inj time series", epoch, 0, 1.0/16384, lal.StrainUnit, nsamp) h_resp = lal.CreateREAL8TimeSeries("inj time series", epoch, 0, 1.0/rate, lal.StrainUnit, nsamp) # Loop over all of the injections corresponding to this frame rowlist = self.get_rowlist(mdc) if len(rowlist)==0: return for row in rowlist: sim_burst = mdc.waveforms[row] hp, hx = lalburst.GenerateSimBurst(sim_burst, 1.0/16384); hp, hx = lalburst.GenerateSimBurst(sim_burst, 1.0/rate); # Apply detector response det = lalsimulation.DetectorPrefixToLALDetector(ifo) # Produce the total strains Loading Loading @@ -673,7 +673,7 @@ class HWInj(Frame): out += "{} \n".format(ifo) return out def generate_pcal(self, mdc, directory, force = False): def generate_pcal(self, mdc, directory, force = False, rate=16384): """ Produce the PCAL-ready hardware injection files as an ASCII list sampled at the detector's sample rate. Loading Loading @@ -715,10 +715,10 @@ class HWInj(Frame): data = [] epoch = lal.LIGOTimeGPS(sim_burst.time_geocent_gps) duration = 10 nsamp = duration*16384 h_resp = lal.CreateREAL8TimeSeries("inj time series", epoch, 0, 1.0/16384, lal.StrainUnit, nsamp) nsamp = duration*rate h_resp = lal.CreateREAL8TimeSeries("inj time series", epoch, 0, 1.0/rate, lal.StrainUnit, nsamp) # Produce the time domain waveform for this injection hp, hx = lalburst.GenerateSimBurst(sim_burst, 1.0/16384); hp, hx = lalburst.GenerateSimBurst(sim_burst, 1.0/rate); # Apply detector response det = lalsimulation.DetectorPrefixToLALDetector(ifo) # Produce the total strains Loading @@ -731,7 +731,11 @@ class HWInj(Frame): # This should probably be done in LALSimulation, but # right now it doesn't seem to be working. distance = sim_burst.amplitude if sim_burst.hrss > 0: file_distance = sim_burst.hrss else: file_distance = 1.0 data = np.array(h_tot.data.data) Loading Loading @@ -837,7 +841,6 @@ class FrameSet(): for frame in self.frames: full_log += frame.generate_log(mdc) text_file = open(location, "w") with open(location, "w") as text_file: text_file.write(full_log) text_file.close() Loading
minke/mdctools.py +16 −13 Original line number Diff line number Diff line Loading @@ -565,7 +565,7 @@ class Frame(): log += "\n" return log def generate_gwf(self, mdc, directory, channel="SCIENCE", force=False): def generate_gwf(self, mdc, directory, channel="SCIENCE", force=False, rate=16384.0): """ Produce the gwf file which corresponds to the MDC set over the period of this frame. Loading Loading @@ -603,15 +603,15 @@ class Frame(): # Loop through each interferometer for ifo in self.ifos: # Calculate the number of samples in the timeseries nsamp = (self.end-self.start)*16384 nsamp = (self.end-self.start)*rate # Make the timeseries h_resp = lal.CreateREAL8TimeSeries("inj time series", epoch, 0, 1.0/16384, lal.StrainUnit, nsamp) h_resp = lal.CreateREAL8TimeSeries("inj time series", epoch, 0, 1.0/rate, lal.StrainUnit, nsamp) # Loop over all of the injections corresponding to this frame rowlist = self.get_rowlist(mdc) if len(rowlist)==0: return for row in rowlist: sim_burst = mdc.waveforms[row] hp, hx = lalburst.GenerateSimBurst(sim_burst, 1.0/16384); hp, hx = lalburst.GenerateSimBurst(sim_burst, 1.0/rate); # Apply detector response det = lalsimulation.DetectorPrefixToLALDetector(ifo) # Produce the total strains Loading Loading @@ -673,7 +673,7 @@ class HWInj(Frame): out += "{} \n".format(ifo) return out def generate_pcal(self, mdc, directory, force = False): def generate_pcal(self, mdc, directory, force = False, rate=16384): """ Produce the PCAL-ready hardware injection files as an ASCII list sampled at the detector's sample rate. Loading Loading @@ -715,10 +715,10 @@ class HWInj(Frame): data = [] epoch = lal.LIGOTimeGPS(sim_burst.time_geocent_gps) duration = 10 nsamp = duration*16384 h_resp = lal.CreateREAL8TimeSeries("inj time series", epoch, 0, 1.0/16384, lal.StrainUnit, nsamp) nsamp = duration*rate h_resp = lal.CreateREAL8TimeSeries("inj time series", epoch, 0, 1.0/rate, lal.StrainUnit, nsamp) # Produce the time domain waveform for this injection hp, hx = lalburst.GenerateSimBurst(sim_burst, 1.0/16384); hp, hx = lalburst.GenerateSimBurst(sim_burst, 1.0/rate); # Apply detector response det = lalsimulation.DetectorPrefixToLALDetector(ifo) # Produce the total strains Loading @@ -731,7 +731,11 @@ class HWInj(Frame): # This should probably be done in LALSimulation, but # right now it doesn't seem to be working. distance = sim_burst.amplitude if sim_burst.hrss > 0: file_distance = sim_burst.hrss else: file_distance = 1.0 data = np.array(h_tot.data.data) Loading Loading @@ -837,7 +841,6 @@ class FrameSet(): for frame in self.frames: full_log += frame.generate_log(mdc) text_file = open(location, "w") with open(location, "w") as text_file: text_file.write(full_log) text_file.close()