def __init__(self, instrument, interval, width):
self.fig, self.axes = SnglBurstUtils.make_burst_plot(
r"$f_{\mathrm{recovered}} / f_{\mathrm{injected}}$",
"Event Number Density")
self.axes.loglog()
self.instrument = instrument
self.found = 0
# 21 bins per filter width
bins = int(float(abs(interval)) / width) * 21
binning = rate.NDBins((rate.LinearBins(interval[0], interval[1],
bins), ))
self.offsets = rate.BinnedDensity(binning)
self.coinc_offsets = rate.BinnedDensity(binning)
def __init__(self, instrument, interval, width):
self.fig, self.axes = SnglBurstUtils.make_burst_plot(
r"$t_{\mathrm{recovered}} - t_{\mathrm{injected}}$ (s)",
"Triggers per Unit Offset")
self.axes.semilogy()
self.instrument = instrument
self.found = 0
# 21 bins per filter width
bins = int(float(abs(interval)) / width) * 21
binning = rate.NDBins((rate.LinearBins(interval[0], interval[1],
bins), ))
self.offsets = rate.BinnedDensity(binning)
self.coinc_offsets = rate.BinnedDensity(binning)
def __init__(self, ifo, interval, width):
self.fig, self.axes = SnglBurstUtils.make_burst_plot(
"Peak Frequency (Hz)",
"Trigger Rate Spectral Density (triggers / s / Hz)")
self.ifo = ifo
self.nevents = 0
# 21 bins per filter width
bins = int(float(abs(interval)) / width) * 21
binning = rate.NDBins((rate.LinearBins(interval[0], interval[1],
bins), ))
self.rate = rate.BinnedDensity(binning)
def __init__(self, ifo, width, max):
self.fig, self.axes = SnglBurstUtils.make_burst_plot(
"Delay (s)", "Count / Delay")
self.ifo = ifo
self.nevents = 0
# 21 bins per filter width
interval = segments.segment(0, max + 2)
self.bins = rate.BinnedDensity(
rate.NDBins(
(rate.LinearBins(interval[0], interval[1],
int(float(abs(interval)) / width) * 21), )))
self.axes.semilogy()
def __init__(self, binning):
self.found = 0
self.offsets = rate.BinnedDensity(binning)