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now try with decoupling
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2 changed files with 6 additions and 6 deletions
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@ -216,7 +216,7 @@ def anti_zeno_engine(
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(τ_mod, τ_c, τ_bath, cycles, model.ω_s, ω_0, τ_s, τ_off, n, Δ_switch, τ_init),
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) = anti_zeno_engine(
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Δ=11,
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ε=1,#.1,
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ε=.1,#.1,
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ω_c=1,
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ε_couple=0.7,
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n=10,
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@ -291,7 +291,7 @@ vs = np.linspace(0.1, 10, 100)
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plt.plot(vs, chi(vs, ω_0))
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plt.plot(vs, G_h(vs))
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aux.integrate(model, 50_000)
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aux.integrate(model, 10_000)
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#_, ax = pu.plot_energy_overview(model, markersize=1, ensemble_args=dict(gc_sleep=0.05))
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@ -235,7 +235,7 @@ Init ray and silence stocproc.
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(τ_mod, τ_c, τ_bath, cycles, model.ω_s, ω_0, τ_s, τ_off, n, Δ_switch, τ_init),
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) = anti_zeno_engine(
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Δ=11,
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ε=1,#.1,
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ε=.1,#.1,
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ω_c=1,
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ε_couple=0.7,
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n=10,
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@ -319,8 +319,8 @@ Let's test the assumptions of the paper.
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#+RESULTS:
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:RESULTS:
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: <matplotlib.legend.Legend at 0x7f599c5a77f0>
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[[file:./.ob-jupyter/f1f3d1efbb8b9b6b8c3b2433d8c8013931023f85.svg]]
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: <matplotlib.legend.Legend at 0x7f585e3cfeb0>
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[[file:./.ob-jupyter/9cc13f6cd7e403842e8eb713c076b96a3bebbe48.svg]]
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:END:
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#+begin_src jupyter-python :tangle nil
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@ -423,7 +423,7 @@ Let's test the assumptions of the paper.
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** Integration
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#+begin_src jupyter-python
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aux.integrate(model, 50_000)
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aux.integrate(model, 10_000)
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#+End_src
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#+RESULTS:
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