コード例 #1
0
Alongside the strain *h(t)* data, |GWOSC|_ also
releases a *Data Quality* :ref:`state vector <gwpy-statevector>`.
We can use this to check on the quality of the data from the LIGO Livingston
detector around |GW170817|_.
"""

__author__ = "Duncan Macleod <*****@*****.**>"
__currentmodule__ = "gwpy.timeseries"

# First, we can import the `StateVector` class:
from gwpy.timeseries import StateVector

# and download the state information surrounding GW170817:
data = StateVector.fetch_open_data(
    "L1",
    1187008882 - 100,
    1187008882 + 100,
    verbose=True,
)

# Finally, we make a :meth:`~StateVector.plot`, passing `insetlabels=True` to
# display the bit names inside the axes:
plot = data.plot(insetlabels=True)
ax = plot.gca()
ax.set_xscale('seconds', epoch=1187008882)
ax.axvline(1187008882, color='orange', linestyle='--')
ax.set_title('LIGO-Livingston data quality around GW170817')
plot.show()

# This plot shows that for a short time exactly overlapping with GW170817
# there was a data quality issue recorded that would negatively impact a
# search for generic gravitational-wave transients (bursts).
コード例 #2
0
ファイル: statevector.py プロジェクト: diegobersanetti/gwpy
Confident detection of gravitational-wave signals is critically dependent
on understanding the quality of the data searched.
Alongside the strain *h(t)* data, the GW Open Science Center (GWOSC) also
releases a *Data Quality* :ref:`state vector <gwpy-statevector>`.
We can use this to check on the quality of the data from the LIGO Livingston
detector around `GW170817 <https://losc.ligo.org/events/GW170817/>`__.
"""

__author__ = "Duncan Macleod <*****@*****.**>"
__currentmodule__ = 'gwpy.timeseries'

# First, we can import the `StateVector` class:
from gwpy.timeseries import StateVector

# and download the state information surrounding GW170817:
data = StateVector.fetch_open_data('L1', 1187008882-100, 1187008882+100,
                                   verbose=True, tag='C00')

# Finally, we make a :meth:`~StateVector.plot`, passing `insetlabels=True` to
# display the bit names inside the axes:
plot = data.plot(insetlabels=True)
ax = plot.gca()
ax.set_xscale('seconds', epoch=1187008882)
ax.axvline(1187008882, color='orange', linestyle='--')
ax.set_title('LIGO-Livingston data quality around GW170817')
plot.show()

# This plot shows that for a short time exactly overlapping with GW170817
# there was a data quality issue recorded that would negatively impact a
# search for generic gravitational-wave transients (bursts).
# For more details on this _glitch_, and on how it was excised, please see
# `Abbott et al. 2017 <https://doi.org/10.1103/PhysRevLett.119.161101>`__.
コード例 #3
0
from gwpy.timeseries import (TimeSeries, StateVector)
print(TimeSeries.fetch_open_data('H1', 1126259446, 1126259478))
# TimeSeries([  2.17704028e-19,  2.08763900e-19,  2.39681183e-19,
# ...,   3.55365541e-20,  6.33533516e-20,
# 7.58121195e-20]
# unit: Unit(dimensionless),
# t0: 1126259446.0 s,
# dt: 0.000244140625 s,
# name: Strain,
# channel: None)
print(StateVector.fetch_open_data('H1', 1126259446, 1126259478))
# StateVector([127,127,127,127,127,127,127,127,127,127,127,127,
# 127,127,127,127,127,127,127,127,127,127,127,127,
# 127,127,127,127,127,127,127,127]
# unit: Unit(dimensionless),
# t0: 1126259446.0 s,
# dt: 1.0 s,
# name: Data quality,
# channel: None,
# bits: Bits(0: data present
# 1: passes cbc CAT1 test
# 2: passes cbc CAT2 test
# 3: passes cbc CAT3 test
# 4: passes burst CAT1 test
# 5: passes burst CAT2 test
# 6: passes burst CAT3 test,
# channel=None,
# epoch=1126259446.0))

# For the `StateVector`, the naming of the bits will be
# ``format``-dependent, because they are recorded differently by LOSC
コード例 #4
0
ファイル: statevector.py プロジェクト: mikewlange/gwpy
Alongside the strain *h(t)* data, the GW Open Science Center (GWOSC) also
releases a *Data Quality* :ref:`state vector <gwpy-statevector>`.
We can use this to check on the quality of the data from the LIGO Livingston
detector around `GW170817 <https://losc.ligo.org/events/GW170817/>`__.
"""

__author__ = "Duncan Macleod <*****@*****.**>"
__currentmodule__ = 'gwpy.timeseries'

# First, we can import the `StateVector` class:
from gwpy.timeseries import StateVector

# and download the state information surrounding GW170817:
data = StateVector.fetch_open_data('L1',
                                   1187008882 - 100,
                                   1187008882 + 100,
                                   verbose=True,
                                   tag='C00')

# Finally, we make a :meth:`~StateVector.plot`, passing `insetlabels=True` to
# display the bit names inside the axes:
plot = data.plot(insetlabels=True)
ax = plot.gca()
ax.set_xscale('seconds', epoch=1187008882)
ax.axvline(1187008882, color='orange', linestyle='--')
ax.set_title('LIGO-Livingston data quality around GW170817')
plot.show()

# This plot shows that for a short time exactly overlapping with GW170817
# there was a data quality issue recorded that would negatively impact a
# search for generic gravitational-wave transients (bursts).
コード例 #5
0
from gwpy.timeseries import (TimeSeries, StateVector)

print(TimeSeries.fetch_open_data('H1', 1126259446, 1126259478))
# TimeSeries([  2.17704028e-19,  2.08763900e-19,  2.39681183e-19,
# ...,   3.55365541e-20,  6.33533516e-20,
# 7.58121195e-20]
# unit: Unit(dimensionless),
# t0: 1126259446.0 s,
# dt: 0.000244140625 s,
# name: Strain,
# channel: None)
print(StateVector.fetch_open_data('H1', 1126259446, 1126259478))
# StateVector([127,127,127,127,127,127,127,127,127,127,127,127,
# 127,127,127,127,127,127,127,127,127,127,127,127,
# 127,127,127,127,127,127,127,127]
# unit: Unit(dimensionless),
# t0: 1126259446.0 s,
# dt: 1.0 s,
# name: Data quality,
# channel: None,
# bits: Bits(0: data present
# 1: passes cbc CAT1 test
# 2: passes cbc CAT2 test
# 3: passes cbc CAT3 test
# 4: passes burst CAT1 test
# 5: passes burst CAT2 test
# 6: passes burst CAT3 test,
# channel=None,
# epoch=1126259446.0))

# For the `StateVector`, the naming of the bits will be
コード例 #6
0
from gwosc.datasets import event_gps
from gwpy.timeseries import StateVector
gps = event_gps("GW200105_162426")
start = int(gps) - 1000
end = int(gps) + 1000
gw200105_state = StateVector.fetch_open_data("L1", start, end)
print(gw200105_state)
# StateVector([127, 127, 127, ..., 127, 127, 127]
# unit: dimensionless,
# t0: 1262275684.0 s,
# dt: 1.0 s,
# name: Data quality,
# channel: None,
# bits: Bits(0: Passes DATA test
# 1: Passes CBC_CAT1 test
# 2: Passes CBC_CAT2 test
# 3: Passes CBC_CAT3 test
# 4: Passes BURST_CAT1 test
# 5: Passes BURST_CAT2 test
# 6: Passes BURST_CAT3 test,
# channel=None,
# epoch=1262274636.0))