- Calling the psd is longer because when `ifo.power_spectral_density_array` is called, the psd array is multiplied each time by the `ifo.strain_data.window_factor`.
I could create a new nwip function for my Interferometer Class which would be like:
# Number of trajectories using numericalgradients in phase 1.
n_traj_fit=1500
# Number of iterations if phase1 loop to go over for this run. This permits to split phase1 into several chunks. If set to 0, then the value will be set to that of n_traj_fit
...
...
@@ -31,10 +31,10 @@ n_fit_2 = 200
# Length of numerical trajectories during phase1
length_num_traj=200
# Stepsize between steps of trajectories used for phase1.
epsilon0=1.12e-2
epsilon0=5e-3
# Python file to configure your search parameter space
# Number of trajectories using numericalgradients in phase 1.
n_traj_fit=1500
# Number of iterations if phase1 loop to go over for this run. This permits to split phase1 into several chunks. If set to 0, then the value will be set to that of n_traj_fit
...
...
@@ -30,7 +30,7 @@ n_fit_2 = 200
# Length of numerical trajectories during phase1
length_num_traj=200
# Stepsize between steps of trajectories used for phase1.
epsilon0=5e-3
epsilon0=1.23e-2
# Python file to configure your search parameter space
# Number of trajectories using numericalgradients in phase 1.
n_traj_fit=1500
n_traj_fit=15
# Number of iterations if phase1 loop to go over for this run. This permits to split phase1 into several chunks. If set to 0, then the value will be set to that of n_traj_fit
n_traj_for_this_run=1000000
# Number of points used to sub-select points in Ordered Look-Up Tables for local fit bimodal parameters like (cos(inc), psi, logD)