From c185f99ee3650fcd5e68ca5cb815354e27482cf0 Mon Sep 17 00:00:00 2001 From: ianchb Date: Thu, 23 Apr 2026 20:18:44 +0800 Subject: [PATCH] UPSTREAM: Pick source changes from https://github.com/xiaoqu0000/NR-amssncku/commit/a5b2dd9e3cb4be2f1889a17627e7330e190f61a0 Original message: fix bug --- plot_GW_strain_amplitude_xiaoqu.py | 2 +- setup.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/plot_GW_strain_amplitude_xiaoqu.py b/plot_GW_strain_amplitude_xiaoqu.py index cf7b098..56f67c6 100755 --- a/plot_GW_strain_amplitude_xiaoqu.py +++ b/plot_GW_strain_amplitude_xiaoqu.py @@ -448,7 +448,7 @@ def generate_gravitational_wave_amplitude_plot( outdir, figure_outdir, detector_ orbital_frequency_min = numpy.min( orbital_frequency ) gravitational_frequency_min = 2.0 * orbital_frequency_min ## GW frequency ~ 2 * orbital frequency for quadrupole print( " Orbital frequency estimate: f_orbital_min =", orbital_frequency_min, file=file_cut ) - print( " Gravitational Wave frequency estimate: f_GW_min =", orbital_frequency_min, file=file_cut ) + print( " Gravitational Wave frequency estimate: f_GW_min =", gravitational_frequency_min, file=file_cut ) print( file=file_cut ) ## Set minimum frequency cutoff based on orbital estimate diff --git a/setup.py b/setup.py index d418031..329f58f 100755 --- a/setup.py +++ b/setup.py @@ -28,7 +28,7 @@ if ( input_data.Symmetry=="octant-symmetry" ): maximal_domain_size_static_x = numpy.array( [ 0.0, input_data.largest_box_xyz_max[0] ] ) maximal_domain_size_static_y = numpy.array( [ 0.0, input_data.largest_box_xyz_max[1] ] ) maximal_domain_size_static_z = numpy.array( [ 0.0, input_data.largest_box_xyz_max[2] ] ) -elif( input_data.Symmetry=="octant-symmetry" ): +elif( input_data.Symmetry=="equatorial-symmetry" ): maximal_domain_size_static_x = numpy.array( [ input_data.largest_box_xyz_min[0], input_data.largest_box_xyz_max[0] ] ) maximal_domain_size_static_y = numpy.array( [ input_data.largest_box_xyz_min[1], input_data.largest_box_xyz_max[1] ] ) maximal_domain_size_static_z = numpy.array( [ 0.0, input_data.largest_box_xyz_max[2] ] )