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Commit 766b81d9 authored by Gregory Ashton's avatar Gregory Ashton
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Fix flake8 issues

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with 48 additions and 36 deletions
bilby/gw/source.py
+ 48
− 36
View file @ 766b81d9
......@@ -63,18 +63,22 @@ def lal_binary_black_hole(
pn_tidal_order
pn_phase_order
pn_amplitude_order
mode_array: Activate a specific mode array and evaluate the model using those modes only.
e.g. waveform_arguments = dict(waveform_approximant='IMRPhenomHM', modearray=[[2,2],[2,-2])
returns the 22 and 2-2 modes only of IMRPhenomHM.
You can only specify modes that are included in that particular model.
e.g. waveform_arguments = dict(waveform_approximant='IMRPhenomHM', modearray=[[2,2],[2,-2],[5,5],[5,-5]])
is not allowed because the 55 modes are not included in this model.
Be aware that some models only take positive modes and return the positive and the negative mode together,
while others need to call both.
e.g. waveform_arguments = dict(waveform_approximant='IMRPhenomHM', modearray=[[2,2],[4,-4]])
returns the 22 and 2-2 of IMRPhenomHM.
However, waveform_arguments = dict(waveform_approximant='IMRPhenomXHM', modearray=[[2,2],[4,-4]])
returns the 22 and 4-4 of IMRPhenomXHM.
mode_array:
Activate a specific mode array and evaluate the model using those
modes only. e.g. waveform_arguments =
dict(waveform_approximant='IMRPhenomHM', modearray=[[2,2],[2,-2])
returns the 22 and 2-2 modes only of IMRPhenomHM. You can only
specify modes that are included in that particular model. e.g.
waveform_arguments = dict(waveform_approximant='IMRPhenomHM',
modearray=[[2,2],[2,-2],[5,5],[5,-5]]) is not allowed because the
55 modes are not included in this model. Be aware that some models
only take positive modes and return the positive and the negative
mode together, while others need to call both. e.g.
waveform_arguments = dict(waveform_approximant='IMRPhenomHM',
modearray=[[2,2],[4,-4]]) returns the 22 and 2-2 of IMRPhenomHM.
However, waveform_arguments =
dict(waveform_approximant='IMRPhenomXHM', modearray=[[2,2],[4,-4]])
returns the 22 and 4-4 of IMRPhenomXHM.
Returns
-------
......@@ -140,18 +144,22 @@ def lal_binary_neutron_star(
pn_tidal_order
pn_phase_order
pn_amplitude_order
mode_array: Activate a specific mode array and evaluate the model using those modes only.
e.g. waveform_arguments = dict(waveform_approximant='IMRPhenomHM', modearray=[[2,2],[2,-2])
returns the 22 and 2-2 modes only of IMRPhenomHM.
You can only specify modes that are included in that particular model.
e.g. waveform_arguments = dict(waveform_approximant='IMRPhenomHM', modearray=[[2,2],[2,-2],[5,5],[5,-5]])
is not allowed because the 55 modes are not included in this model.
Be aware that some models only take positive modes and return the positive and the negative mode together,
while others need to call both.
e.g. waveform_arguments = dict(waveform_approximant='IMRPhenomHM', modearray=[[2,2],[4,-4]])
returns the 22 a\nd 2-2 of IMRPhenomHM.
However, waveform_arguments = dict(waveform_approximant='IMRPhenomXHM', modearray=[[2,2],[4,-4]])
returns the 22 and 4-4 of IMRPhenomXHM.
mode_array:
Activate a specific mode array and evaluate the model using those
modes only. e.g. waveform_arguments =
dict(waveform_approximant='IMRPhenomHM', modearray=[[2,2],[2,-2])
returns the 22 and 2-2 modes only of IMRPhenomHM. You can only
specify modes that are included in that particular model. e.g.
waveform_arguments = dict(waveform_approximant='IMRPhenomHM',
modearray=[[2,2],[2,-2],[5,5],[5,-5]]) is not allowed because the
55 modes are not included in this model. Be aware that some models
only take positive modes and return the positive and the negative
mode together, while others need to call both. e.g.
waveform_arguments = dict(waveform_approximant='IMRPhenomHM',
modearray=[[2,2],[4,-4]]) returns the 22 a\nd 2-2 of IMRPhenomHM.
However, waveform_arguments =
dict(waveform_approximant='IMRPhenomXHM', modearray=[[2,2],[4,-4]])
returns the 22 and 4-4 of IMRPhenomXHM.
Returns
-------
......@@ -202,18 +210,22 @@ def lal_eccentric_binary_black_hole_no_spins(
pn_tidal_order
pn_phase_order
pn_amplitude_order
mode_array: Activate a specific mode array and evaluate the model using those modes only.
e.g. waveform_arguments = dict(waveform_approximant='IMRPhenomHM', modearray=[[2,2],[2,-2])
returns the 22 and 2-2 modes only of IMRPhenomHM.
You can only specify modes that are included in that particular model.
e.g. waveform_arguments = dict(waveform_approximant='IMRPhenomHM', modearray=[[2,2],[2,-2],[5,5],[5,-5]])
is not allowed because the 55 modes are not included in this model.
Be aware that some models only take positive modes and return the positive and the negative mode together,
while others need to call both.
e.g. waveform_arguments = dict(waveform_approximant='IMRPhenomHM', modearray=[[2,2],[4,-4]])
returns the 22 and 2-2 of IMRPhenomHM.
However, waveform_arguments = dict(waveform_approximant='IMRPhenomXHM', modearray=[[2,2],[4,-4]])
returns the 22 and 4-4 of IMRPhenomXHM.
mode_array:
Activate a specific mode array and evaluate the model using those
modes only. e.g. waveform_arguments =
dict(waveform_approximant='IMRPhenomHM', modearray=[[2,2],[2,-2])
returns the 22 and 2-2 modes only of IMRPhenomHM. You can only
specify modes that are included in that particular model. e.g.
waveform_arguments = dict(waveform_approximant='IMRPhenomHM',
modearray=[[2,2],[2,-2],[5,5],[5,-5]]) is not allowed because the
55 modes are not included in this model. Be aware that some models
only take positive modes and return the positive and the negative
mode together, while others need to call both. e.g.
waveform_arguments = dict(waveform_approximant='IMRPhenomHM',
modearray=[[2,2],[4,-4]]) returns the 22 and 2-2 of IMRPhenomHM.
However, waveform_arguments =
dict(waveform_approximant='IMRPhenomXHM', modearray=[[2,2],[4,-4]])
returns the 22 and 4-4 of IMRPhenomXHM.
Returns
-------
......
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