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