UPDATE: update ρ_A real time simulations to latest known parameters

scripts/experiments/013_step_through.py

@@ -112,7 +112,7 @@ def plot_power_spectrum(
     )
 
     peak_info = find_peaks(
-        freq, average_power_spectrum, ringdown_params, prominence=0.1
+        freq, average_power_spectrum, ringdown_params, prominence=0.1 / 2
     )
     peak_info, lm_result = refine_peaks(peak_info, ringdown_params, height_cutoff=0.05)
     peak_info.power = average_power_spectrum
@@ -262,9 +262,9 @@ def generate_data(
 # %% save
 if __name__ == "__main__":
     fig = generate_data(
-        g_0=1,
+        g_0=0.5,
         η_factor=5,
-        noise_amplitude=2e-3,
+        noise_amplitude=2e-4,
         N=2,
         eom_ranges=(1.1, 1.35),
         eom_steps=100,

scripts/simulations/001_full_system_rwa_analysis.py

@@ -5,13 +5,14 @@ import itertools
 # %% interactive
 
 
-def make_params(ω_c=0.1 / 2, N=10, gbar=1 / 3, compensate=2):
+def make_params(ω_c=0.1, N=10, gbar=1 / 3, compensate=1):
     """
     Make a set of parameters for the system with the current
     best-known settings.
     """
     return Params(
-        η=0.5,
+        η=0.2,
+        η_hybrid=0.2,
         Ω=13,
         δ=1 / 4,
         ω_c=ω_c,
@@ -40,8 +41,8 @@ def decay_rwa_analysis():
     that still kinda works.).
     """
 
-    ω_c = 0.1 / 2
-    Ns = [5, 10, 20]
+    ω_c = 0.1
+    Ns = [5, 10]
     gbar = 1 / 4
 
     fig = make_figure("decay_test", figsize=(15, len(Ns) * 3))
@@ -105,7 +106,7 @@ def decay_rwa_analysis():
 
     fig.tight_layout()
     fig.suptitle(
-        f"Decay test for η={params.η}MHz, Ω={params.Ω}MHz, δ/Ω={params.δ}, ω_c/Ω={params.ω_c}, g_0/ω_c={params.g_0/params.ω_c:.2f}"
+        f"Decay test for η/2π={params.η}MHz, Ω/2π={params.Ω}MHz, δ/Ω={params.δ}, ω_c/Ω={params.ω_c}, g_0/ω_c={params.g_0/params.ω_c:.2f}"
     )
 
     save_figure(fig, "001_decay_test", extra_meta=dict(params=param_dict, Ns=Ns))

src/rabifun/system.py

@@ -542,4 +542,6 @@ def correct_for_decay(solution, params):
 
     :returns: The corrected solution amplitudes.
     """
-    return solution.y * np.exp(params.η / 2 * solution.t[None, :])
+
+    runtime = RuntimeParams(params)
+    return solution.y * np.exp(-runtime.Ωs.imag[:, None] * solution.t[None, :])