more cycles please

python/energy_flow_proper/10_antizeno_engine/10_first_anti_zeno.py

@@ -178,7 +178,7 @@ model, Δ, (τ_mod, τ_c, τ_bath, cycles, model.ω_s, ω_0, τ_s, τ_off, n, Δ
     ε=.7,
     ω_c=1,
     ε_couple=0.6,
-    n=1,
+    n=6,
     detune=-0.8,
     ω_0=20,
     T_c=8,
@@ -190,7 +190,7 @@ model, Δ, (τ_mod, τ_c, τ_bath, cycles, model.ω_s, ω_0, τ_s, τ_off, n, Δ
     s=[1]*2,
     ε_init=.2,
     terms = 6,
-    dt=.001
+    dt=.01
 )
 model.k_max = 2
 # model, params = anti_zeno_engine(ε=1/2, ε_couple=1e-4, n=1, detune=.5, δ=[.1,.1])

python/energy_flow_proper/10_antizeno_engine/anti_zeno_engine.org

@@ -198,7 +198,7 @@ Init ray and silence stocproc.
       ε=.7,
       ω_c=1,
       ε_couple=0.6,
-      n=1,
+      n=6,
       detune=-0.8,
       ω_0=20,
       T_c=8,
@@ -210,7 +210,7 @@ Init ray and silence stocproc.
       s=[1]*2,
       ε_init=.2,
       terms = 6,
-      dt=.001
+      dt=.01
   )
   model.k_max = 2
   # model, params = anti_zeno_engine(ε=1/2, ε_couple=1e-4, n=1, detune=.5, δ=[.1,.1])
@@ -241,8 +241,8 @@ Let's test the assumptions of the paper.
 
 #+RESULTS:
 :RESULTS:
-| <matplotlib.lines.Line2D | at | 0x7fefdd4cb340> |
-[[file:./.ob-jupyter/eae242a4196381ee5756a3b8324809ecd2e45aa7.svg]]
+| <matplotlib.lines.Line2D | at | 0x7fefdbcb4e50> |
+[[file:./.ob-jupyter/bcbbe6e7a4f2ab17277c713dc747ccf6b81efa3f.svg]]
 :END:
 
 #+begin_src jupyter-python :tangle nil
@@ -318,12 +318,17 @@ Let's test the assumptions of the paper.
 #+end_src
 
 #+RESULTS:
-: [INFO    hops.core.integration     11515] Choosing the nonlinear integrator.
-: [INFO    hops.core.integration     11515] Using 4 integrators.
-: [INFO    hops.core.integration     11515] Some 1 trajectories have to be integrated.
-: [INFO    hops.core.integration     11515] Using 6188 hierarchy states.
-:   0% 0/1 [00:00<?, ?it/s][INFO    hops.core.signal_delay    11515] caught sig 'SIGINT'
-: [INFO    hops.core.signal_delay    11515] caught sig 'SIGINT'
+#+begin_example
+  [INFO    hops.core.integration     11515] Using 4 integrators.
+  [INFO    hops.core.integration     11515] Some 1 trajectories have to be integrated.
+  [INFO    hops.core.integration     11515] Using 91 hierarchy states.
+  100% 1/1 [01:28<00:00, 88.94s/it]
+  [INFO    hops.core.integration     11515] Choosing the nonlinear integrator.
+  [INFO    hops.core.integration     11515] Using 4 integrators.
+  [INFO    hops.core.integration     11515] Some 0 trajectories have to be integrated.
+  [INFO    hops.core.integration     11515] Using 91 hierarchy states.
+  0it [00:00, ?it/s]
+#+end_example
 
 
 #+begin_src jupyter-python
@@ -337,8 +342,9 @@ Let's test the assumptions of the paper.
 
 #+RESULTS:
 :RESULTS:
-: <matplotlib.legend.Legend at 0x7fecdc6e5c70>
-[[file:./.ob-jupyter/49ab850764ab6e82b64b74c79979c664364f2bfe.svg]]
+: <matplotlib.legend.Legend at 0x7fefdbd1eee0>
+
+[[file:./.ob-jupyter/3e6e9f0fd5d9e311cc2b4949468c6ecafb75bc67.svg]]
 :END:
 
 - **too fast decoupling kills it**