mirror of
https://github.com/vale981/master-thesis
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more samples
This commit is contained in:
parent
98c8f9781f
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2 changed files with 54 additions and 159 deletions
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@ -288,7 +288,7 @@ 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, 100)
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aux.integrate(model, 10000)
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#_, ax = fs.plot_energy_overview(model, markersize=1, ensemble_args=dict(gc_sleep=0.05))
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@ -316,8 +316,8 @@ 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 0x7f8cad7d3c70>
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[[file:./.ob-jupyter/52319af8927d7fbb9f93dd71384478ec06ef6faf.svg]]
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: <matplotlib.legend.Legend at 0x7f8cabf9d3a0>
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[[file:./.ob-jupyter/8139a949bde14728a4e6d9f0d2640fc8edef8218.svg]]
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:END:
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#+begin_src jupyter-python :tangle nil
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@ -369,8 +369,8 @@ Let's test the assumptions of the paper.
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#+RESULTS:
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:RESULTS:
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[[file:./.ob-jupyter/0e7e96064672b6bc919ca89d52825c59e9543cfb.svg]]
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[[file:./.ob-jupyter/00d9a4ef93705497b6722f5e6ab91c0542aea18e.svg]]
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[[file:./.ob-jupyter/9b211b2cea3136d4aa15c794b0b0caa6ae2d4677.svg]]
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[[file:./.ob-jupyter/8c422814e6d81aa1252f97e948775b58da037a44.svg]]
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:END:
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#+begin_src jupyter-python
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@ -424,145 +424,38 @@ 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, 100)
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aux.integrate(model, 10000)
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#+End_src
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#+RESULTS:
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:RESULTS:
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#+begin_example
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[INFO hops.core.integration 241007] Choosing the nonlinear integrator.
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[INFO hops.core.integration 241007] Using 21 integrators.
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[INFO hops.core.integration 241007] Some 90 trajectories have to be integrated.
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[INFO hops.core.integration 241007] Using 165 hierarchy states.
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0% 0/90 [00:00<?, ?it/s][2m[36m(integration_task pid=21822, ip=141.30.17.8)[0m WARNING:root:Using mpmath for the zeta (lerch phi) function. Install a recent version of ``arb`` for more performance.
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[2m[36m(integration_task pid=21823, ip=141.30.17.8)[0m WARNING:root:Using mpmath for the zeta (lerch phi) function. Install a recent version of ``arb`` for more performance.
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[2m[36m(integration_task pid=21825, ip=141.30.17.8)[0m WARNING:root:Using mpmath for the zeta (lerch phi) function. Install a recent version of ``arb`` for more performance.
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[2m[36m(integration_task pid=21820, ip=141.30.17.8)[0m WARNING:root:Using mpmath for the zeta (lerch phi) function. Install a recent version of ``arb`` for more performance.
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[2m[36m(integration_task pid=21821, ip=141.30.17.8)[0m WARNING:root:Using mpmath for the zeta (lerch phi) function. Install a recent version of ``arb`` for more performance.
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[2m[36m(integration_task pid=21824, ip=141.30.17.8)[0m WARNING:root:Using mpmath for the zeta (lerch phi) function. Install a recent version of ``arb`` for more performance.
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[2m[36m(integration_task pid=591114, ip=141.30.17.16)[0m WARNING:root:Using mpmath for the zeta (lerch phi) function. Install a recent version of ``arb`` for more performance.
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[2m[36m(integration_task pid=591119, ip=141.30.17.16)[0m WARNING:root:Using mpmath for the zeta (lerch phi) function. Install a recent version of ``arb`` for more performance.
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[2m[36m(integration_task pid=591116, ip=141.30.17.16)[0m WARNING:root:Using mpmath for the zeta (lerch phi) function. Install a recent version of ``arb`` for more performance.
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[2m[36m(integration_task pid=591120, ip=141.30.17.16)[0m WARNING:root:Using mpmath for the zeta (lerch phi) function. Install a recent version of ``arb`` for more performance.
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[2m[36m(integration_task pid=591121, ip=141.30.17.16)[0m WARNING:root:Using mpmath for the zeta (lerch phi) function. Install a recent version of ``arb`` for more performance.
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[2m[33m(raylet)[0m [2022-07-20 09:31:08,789 C 92539 92539] (raylet) node_manager.cc:170: This node has beem marked as dead.
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[2m[33m(raylet)[0m *** StackTrace Information ***
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[2m[33m(raylet)[0m ray::SpdLogMessage::Flush()
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[2m[33m(raylet)[0m ray::RayLog::~RayLog()
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[2m[33m(raylet)[0m std::_Function_handler<>::_M_invoke()
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[2m[33m(raylet)[0m std::_Function_handler<>::_M_invoke()
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[2m[33m(raylet)[0m std::_Function_handler<>::_M_invoke()
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[2m[33m(raylet)[0m ray::rpc::ClientCallImpl<>::OnReplyReceived()
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[2m[33m(raylet)[0m std::_Function_handler<>::_M_invoke()
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[2m[33m(raylet)[0m EventTracker::RecordExecution()
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[2m[33m(raylet)[0m std::_Function_handler<>::_M_invoke()
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[2m[33m(raylet)[0m boost::asio::detail::completion_handler<>::do_complete()
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[2m[33m(raylet)[0m boost::asio::detail::scheduler::do_run_one()
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[2m[33m(raylet)[0m boost::asio::detail::scheduler::run()
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[2m[33m(raylet)[0m boost::asio::io_context::run()
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[2m[33m(raylet)[0m main
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[2m[33m(raylet)[0m __libc_start_call_main
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[2m[33m(raylet)[0m
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[2m[33m(raylet)[0m [2022-07-13 10:41:27,801 C 578762 578762] (raylet) node_manager.cc:170: This node has beem marked as dead.
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[2m[33m(raylet)[0m *** StackTrace Information ***
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[2m[33m(raylet)[0m ray::SpdLogMessage::Flush()
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[2m[33m(raylet)[0m ray::RayLog::~RayLog()
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[2m[33m(raylet)[0m std::_Function_handler<>::_M_invoke()
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[2m[33m(raylet)[0m std::_Function_handler<>::_M_invoke()
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[2m[33m(raylet)[0m std::_Function_handler<>::_M_invoke()
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[2m[33m(raylet)[0m ray::rpc::ClientCallImpl<>::OnReplyReceived()
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[2m[33m(raylet)[0m std::_Function_handler<>::_M_invoke()
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[2m[33m(raylet)[0m EventTracker::RecordExecution()
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[2m[33m(raylet)[0m std::_Function_handler<>::_M_invoke()
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[2m[33m(raylet)[0m boost::asio::detail::completion_handler<>::do_complete()
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[2m[33m(raylet)[0m boost::asio::detail::scheduler::do_run_one()
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[2m[33m(raylet)[0m boost::asio::detail::scheduler::run()
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[2m[33m(raylet)[0m boost::asio::io_context::run()
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[2m[33m(raylet)[0m main
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[2m[33m(raylet)[0m __libc_start_call_main
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[2m[33m(raylet)[0m
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[2m[33m(raylet)[0m [2022-07-20 10:41:29,167 E 122306 122344] (raylet) agent_manager.cc:107: The raylet exited immediately because the Ray agent failed. The raylet fate shares with the agent. This can happen because the Ray agent was unexpectedly killed or failed. See `dashboard_agent.log` for the root cause.
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20% 18/90 [01:56<07:45, 6.47s/it][INFO hops.core.signal_delay 241007] caught sig 'SIGINT'
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21% 19/90 [01:59<07:26, 6.29s/it]
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2022-07-20 15:03:10,268 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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2022-07-20 15:03:10,271 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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2022-07-20 15:03:10,273 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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2022-07-20 15:03:10,277 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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2022-07-20 15:03:10,278 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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2022-07-20 15:03:10,281 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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2022-07-20 15:03:10,285 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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[INFO hops.core.signal_delay 241007] caught 1 signal(s)
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2022-07-20 15:03:10,286 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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[INFO hops.core.signal_delay 241007] emit signal 'SIGINT'
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2022-07-20 15:03:10,288 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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2022-07-20 15:03:10,289 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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2022-07-20 15:03:10,291 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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2022-07-20 15:03:10,292 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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2022-07-20 15:03:10,293 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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2022-07-20 15:03:10,343 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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2022-07-20 15:03:10,365 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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2022-07-20 15:03:10,412 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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2022-07-20 15:03:10,435 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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2022-07-20 15:03:10,468 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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2022-07-20 15:03:10,475 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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2022-07-20 15:03:10,513 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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2022-07-20 15:03:10,521 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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2022-07-20 15:03:10,539 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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2022-07-20 15:03:10,577 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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2022-07-20 15:03:10,583 ERROR worker.py:94 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
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100% 1/1 [02:31<00:00, 151.78s/it]
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[INFO hops.core.integration 241007] Choosing the nonlinear integrator.
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[INFO hops.core.integration 241007] Using 21 integrators.
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[INFO hops.core.integration 241007] Some 99 trajectories have to be integrated.
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[INFO hops.core.integration 241007] Using 165 hierarchy states.
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0% 0/99 [00:00<?, ?it/s][2m[36m(integration_task pid=22894, ip=141.30.17.8)[0m WARNING:root:Using mpmath for the zeta (lerch phi) function. Install a recent version of ``arb`` for more performance.
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[2m[36m(integration_task pid=22891, ip=141.30.17.8)[0m WARNING:root:Using mpmath for the zeta (lerch phi) function. Install a recent version of ``arb`` for more performance.
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[2m[36m(integration_task pid=22890, ip=141.30.17.8)[0m WARNING:root:Using mpmath for the zeta (lerch phi) function. Install a recent version of ``arb`` for more performance.
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[2m[36m(integration_task pid=22892, ip=141.30.17.8)[0m WARNING:root:Using mpmath for the zeta (lerch phi) function. Install a recent version of ``arb`` for more performance.
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[2m[36m(integration_task pid=22899, ip=141.30.17.8)[0m WARNING:root:Using mpmath for the zeta (lerch phi) function. Install a recent version of ``arb`` for more performance.
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[2m[36m(integration_task pid=22896, ip=141.30.17.8)[0m WARNING:root:Using mpmath for the zeta (lerch phi) function. Install a recent version of ``arb`` for more performance.
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[2m[36m(integration_task pid=22901, ip=141.30.17.8)[0m WARNING:root:Using mpmath for the zeta (lerch phi) function. Install a recent version of ``arb`` for more performance.
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[2m[36m(integration_task pid=22900, ip=141.30.17.8)[0m WARNING:root:Using mpmath for the zeta (lerch phi) function. Install a recent version of ``arb`` for more performance.
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[2m[36m(integration_task pid=22897, ip=141.30.17.8)[0m WARNING:root:Using mpmath for the zeta (lerch phi) function. Install a recent version of ``arb`` for more performance.
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[2m[36m(integration_task pid=22898, ip=141.30.17.8)[0m WARNING:root:Using mpmath for the zeta (lerch phi) function. Install a recent version of ``arb`` for more performance.
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[2m[36m(integration_task pid=591431, ip=141.30.17.16)[0m WARNING:root:Using mpmath for the zeta (lerch phi) function. Install a recent version of ``arb`` for more performance.
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[2m[36m(integration_task pid=23014, ip=141.30.17.8)[0m WARNING:root:Using mpmath for the zeta (lerch phi) function. Install a recent version of ``arb`` for more performance.
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[2m[36m(integration_task pid=23036, ip=141.30.17.8)[0m WARNING:root:Using mpmath for the zeta (lerch phi) function. Install a recent version of ``arb`` for more performance.
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[2m[36m(integration_task pid=591870, ip=141.30.17.16)[0m WARNING:root:Using mpmath for the zeta (lerch phi) function. Install a recent version of ``arb`` for more performance.
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[2m[36m(integration_task pid=591872, ip=141.30.17.16)[0m WARNING:root:Using mpmath for the zeta (lerch phi) function. Install a recent version of ``arb`` for more performance.
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[2m[36m(integration_task pid=591874, ip=141.30.17.16)[0m WARNING:root:Using mpmath for the zeta (lerch phi) function. Install a recent version of ``arb`` for more performance.
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[2m[36m(integration_task pid=591877, ip=141.30.17.16)[0m WARNING:root:Using mpmath for the zeta (lerch phi) function. Install a recent version of ``arb`` for more performance.
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[2m[36m(integration_task pid=591997, ip=141.30.17.16)[0m WARNING:root:Using mpmath for the zeta (lerch phi) function. Install a recent version of ``arb`` for more performance.
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[2m[36m(integration_task pid=591982, ip=141.30.17.16)[0m WARNING:root:Using mpmath for the zeta (lerch phi) function. Install a recent version of ``arb`` for more performance.
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[2m[36m(integration_task pid=592009, ip=141.30.17.16)[0m WARNING:root:Using mpmath for the zeta (lerch phi) function. Install a recent version of ``arb`` for more performance.
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100% 99/99 [23:03<00:00, 13.98s/it]
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#+end_example
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# [goto error]
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#+begin_example
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[0;31m---------------------------------------------------------------------------[0m
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[0;31mKeyboardInterrupt[0m Traceback (most recent call last)
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Input [0;32mIn [18][0m, in [0;36m<cell line: 1>[0;34m()[0m
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[0;32m----> 1[0m [43maux[49m[38;5;241;43m.[39;49m[43mintegrate[49m[43m([49m[43mmodel[49m[43m,[49m[43m [49m[38;5;241;43m100[39;49m[43m)[49m
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File [0;32m~/src/two_qubit_model/hiro_models/model_auxiliary.py:108[0m, in [0;36mintegrate[0;34m(model, n, data_path, clear_pd)[0m
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[1;32m 98[0m [38;5;66;03m# with model_db(data_path) as db:[39;00m
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[1;32m 99[0m [38;5;66;03m# if hash in db and "data" db[hash][39;00m
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[1;32m 101[0m supervisor [38;5;241m=[39m HOPSSupervisor(
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[1;32m 102[0m model[38;5;241m.[39mhops_config,
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[1;32m 103[0m n,
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[1;32m 104[0m data_path[38;5;241m=[39mdata_path,
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[1;32m 105[0m data_name[38;5;241m=[39m[38;5;28mhash[39m,
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[1;32m 106[0m )
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[0;32m--> 108[0m [43msupervisor[49m[38;5;241;43m.[39;49m[43mintegrate[49m[43m([49m[43mclear_pd[49m[43m)[49m
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[1;32m 110[0m [38;5;28;01mwith[39;00m supervisor[38;5;241m.[39mget_data([38;5;28;01mTrue[39;00m) [38;5;28;01mas[39;00m data:
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[1;32m 111[0m [38;5;28;01mwith[39;00m model_db(data_path) [38;5;28;01mas[39;00m db:
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File [0;32m~/src/hops/hops/core/integration.py:1288[0m, in [0;36mHOPSSupervisor.integrate[0;34m(self, clear_pd)[0m
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[1;32m 1285[0m [38;5;28;01mbreak[39;00m
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[1;32m 1287[0m integration[38;5;241m.[39mupdate()
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[0;32m-> 1288[0m data[38;5;241m.[39mnew_samples(
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[1;32m 1289[0m idx[38;5;241m=[39mindex,
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[1;32m 1290[0m incomplete[38;5;241m=[39mincomplete,
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[1;32m 1291[0m psi0[38;5;241m=[39mpsi0,
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[1;32m 1292[0m aux_states[38;5;241m=[39maux_states,
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[1;32m 1293[0m stoc_proc[38;5;241m=[39mstoc_proc,
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[1;32m 1294[0m result_type[38;5;241m=[39m[38;5;28mself[39m[38;5;241m.[39mparams[38;5;241m.[39mHiP[38;5;241m.[39mresult_type,
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[1;32m 1295[0m normed[38;5;241m=[39m[38;5;28mself[39m[38;5;241m.[39m_normed_average,
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[1;32m 1296[0m rng_seed[38;5;241m=[39mseed,
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[1;32m 1297[0m )
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File [0;32m~/src/hops/hops/core/signal_delay.py:87[0m, in [0;36msig_delay.__exit__[0;34m(self, exc_type, exc_val, exc_tb)[0m
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[1;32m 84[0m [38;5;28;01mif[39;00m [38;5;28mlen[39m([38;5;28mself[39m[38;5;241m.[39msigh[38;5;241m.[39msigs_caught) [38;5;241m>[39m [38;5;241m0[39m [38;5;129;01mand[39;00m [38;5;28mself[39m[38;5;241m.[39mhandler [38;5;129;01mis[39;00m [38;5;129;01mnot[39;00m [38;5;28;01mNone[39;00m:
|
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[1;32m 85[0m [38;5;28mself[39m[38;5;241m.[39mhandler([38;5;28mself[39m[38;5;241m.[39msigh[38;5;241m.[39msigs_caught)
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[0;32m---> 87[0m [38;5;28;43mself[39;49m[38;5;241;43m.[39;49m[43m_restore[49m[43m([49m[43m)[49m
|
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|
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File [0;32m~/src/hops/hops/core/signal_delay.py:68[0m, in [0;36msig_delay._restore[0;34m(self)[0m
|
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[1;32m 66[0m [38;5;28;01mfor[39;00m i, s [38;5;129;01min[39;00m [38;5;28menumerate[39m([38;5;28mself[39m[38;5;241m.[39msigs):
|
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[1;32m 67[0m signal[38;5;241m.[39msignal(s, [38;5;28mself[39m[38;5;241m.[39mold_handlers[i])
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[0;32m---> 68[0m [38;5;28;43mself[39;49m[38;5;241;43m.[39;49m[43msigh[49m[38;5;241;43m.[39;49m[43memit[49m[43m([49m[43m)[49m
|
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|
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File [0;32m~/src/hops/hops/core/signal_delay.py:42[0m, in [0;36mSigHandler.emit[0;34m(self)[0m
|
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[1;32m 40[0m [38;5;28;01mfor[39;00m s [38;5;129;01min[39;00m [38;5;28mself[39m[38;5;241m.[39msigs_caught:
|
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[1;32m 41[0m log[38;5;241m.[39minfo([38;5;124m"[39m[38;5;124memit signal [39m[38;5;124m'[39m[38;5;132;01m{}[39;00m[38;5;124m'[39m[38;5;124m"[39m[38;5;241m.[39mformat(SIG_MAP[s]))
|
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[0;32m---> 42[0m [43mos[49m[38;5;241;43m.[39;49m[43mkill[49m[43m([49m[43mos[49m[38;5;241;43m.[39;49m[43mgetpid[49m[43m([49m[43m)[49m[43m,[49m[43m [49m[43ms[49m[43m)[49m
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[0;31mKeyboardInterrupt[0m:
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#+end_example
|
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:END:
|
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|
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#+Begin_src jupyter-python
|
||||
|
|
@ -578,21 +471,11 @@ Let's test the assumptions of the paper.
|
|||
|
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#+RESULTS:
|
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:RESULTS:
|
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#+begin_example
|
||||
Loading: 90% 9/10 [00:00<00:00, 138.66it/s]
|
||||
[2m[36m(_ensemble_remote_function pid=22270, ip=141.30.17.8)[0m WARNING:root:Using mpmath for the zeta (lerch phi) function. Install a recent version of ``arb`` for more performance.
|
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[2m[36m(_ensemble_remote_function pid=22267, ip=141.30.17.8)[0m WARNING:root:Using mpmath for the zeta (lerch phi) function. Install a recent version of ``arb`` for more performance.
|
||||
[2m[36m(_ensemble_remote_function pid=22265, ip=141.30.17.8)[0m WARNING:root:Using mpmath for the zeta (lerch phi) function. Install a recent version of ``arb`` for more performance.
|
||||
[2m[36m(_ensemble_remote_function pid=22268, ip=141.30.17.8)[0m WARNING:root:Using mpmath for the zeta (lerch phi) function. Install a recent version of ``arb`` for more performance.
|
||||
[2m[36m(_ensemble_remote_function pid=22264, ip=141.30.17.8)[0m WARNING:root:Using mpmath for the zeta (lerch phi) function. Install a recent version of ``arb`` for more performance.
|
||||
[2m[36m(_ensemble_remote_function pid=22266, ip=141.30.17.8)[0m WARNING:root:Using mpmath for the zeta (lerch phi) function. Install a recent version of ``arb`` for more performance.
|
||||
[2m[36m(_ensemble_remote_function pid=22271, ip=141.30.17.8)[0m WARNING:root:Using mpmath for the zeta (lerch phi) function. Install a recent version of ``arb`` for more performance.
|
||||
[2m[36m(_ensemble_remote_function pid=22269, ip=141.30.17.8)[0m WARNING:root:Using mpmath for the zeta (lerch phi) function. Install a recent version of ``arb`` for more performance.
|
||||
[INFO root 241007] Writing cache to: results/interaction_power_67cca8aef6bb8d5c44cd03d2e435820ea5a6ad6df4c336139cd691b49fb51540_interaction_energy_task_29_None_1132783dc3e4b63333ab34011167d84b9c35e6e83409bc4c77ac7f48df69c157.npy
|
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Loading: 80% 4/5 [00:00<00:00, 171.20it/s]
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[INFO root 241007] Writing cache to: results/f8ad5eb5a8a6d9fb98ca17682691e53506757d7244d54c67c53f9f3314c68a05_67cca8aef6bb8d5c44cd03d2e435820ea5a6ad6df4c336139cd691b49fb51540_op_exp_task_29_None_8eaaa0856f1a481703397da647054bbc3035c456b4fe49fb302a4fb76fa7c865.npy
|
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#+end_example
|
||||
[[file:./.ob-jupyter/b3e65afd3656a3af59f525458b4df39d5222d518.svg]]
|
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: Loading: 98% 98/100 [00:13<00:00, 7.24it/s]
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: [INFO root 241007] Writing cache to: results/interaction_power_7a2f8149e57b9baf77b692150756e3ffd42b69a9c58bf684d60dc7a29b750ae8_interaction_energy_task_100_None_a1ebae168ba6027d405a66e94ca963c84f8aedb16621da5954b5631bcd1636c4.npy
|
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: Loading: 98% 49/50 [00:01<00:00, 37.90it/s]
|
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: [INFO root 241007] Writing cache to: results/f8ad5eb5a8a6d9fb98ca17682691e53506757d7244d54c67c53f9f3314c68a05_7a2f8149e57b9baf77b692150756e3ffd42b69a9c58bf684d60dc7a29b750ae8_op_exp_task_100_None_1ff6d34b7de893995dfd0ae8efe2ed770a6773ef52b6e717b4b4ee9b9e5d285d.npy
|
||||
[[file:./.ob-jupyter/8d4453ac0d9d598221ae19b35505623ee1e35dbe.svg]]
|
||||
:END:
|
||||
|
||||
- **too fast decoupling kills it**
|
||||
|
|
@ -619,7 +502,19 @@ Let's test the assumptions of the paper.
|
|||
#+end_src
|
||||
|
||||
#+RESULTS:
|
||||
[[file:./.ob-jupyter/be0e2c3ba2a64e4022395469cd31f4dc5d5e37f2.svg]]
|
||||
:RESULTS:
|
||||
: /nix/store/k12zz30f8mdh9da2r17c5aw87f7kagl9-python3-3.9.13-env/lib/python3.9/site-packages/matplotlib/cbook/__init__.py:1298: ComplexWarning: Casting complex values to real discards the imaginary part
|
||||
: return np.asarray(x, float)
|
||||
: /nix/store/k12zz30f8mdh9da2r17c5aw87f7kagl9-python3-3.9.13-env/lib/python3.9/site-packages/matplotlib/axes/_axes.py:5218: ComplexWarning: Casting complex values to real discards the imaginary part
|
||||
: pts[0] = start
|
||||
: /nix/store/k12zz30f8mdh9da2r17c5aw87f7kagl9-python3-3.9.13-env/lib/python3.9/site-packages/matplotlib/axes/_axes.py:5219: ComplexWarning: Casting complex values to real discards the imaginary part
|
||||
: pts[N + 1] = end
|
||||
: /nix/store/k12zz30f8mdh9da2r17c5aw87f7kagl9-python3-3.9.13-env/lib/python3.9/site-packages/matplotlib/axes/_axes.py:5222: ComplexWarning: Casting complex values to real discards the imaginary part
|
||||
: pts[1:N+1, 1] = dep1slice
|
||||
: /nix/store/k12zz30f8mdh9da2r17c5aw87f7kagl9-python3-3.9.13-env/lib/python3.9/site-packages/matplotlib/axes/_axes.py:5224: ComplexWarning: Casting complex values to real discards the imaginary part
|
||||
: pts[N+2:, 1] = dep2slice[::-1]
|
||||
[[file:./.ob-jupyter/0ed19e6213d611d35fa44ceba7ce2c0255bf0bce.svg]]
|
||||
:END:
|
||||
|
||||
- no steady state ... but we have to average...
|
||||
|
||||
|
|
@ -631,8 +526,8 @@ Let's test the assumptions of the paper.
|
|||
|
||||
#+RESULTS:
|
||||
:RESULTS:
|
||||
| <matplotlib.lines.Line2D | at | 0x7fd544382d90> |
|
||||
[[file:./.ob-jupyter/8c2b46e2adbdadab36d7fdf6bc2d97f63c2217b3.svg]]
|
||||
| <matplotlib.lines.Line2D | at | 0x7f8ca9ae03d0> |
|
||||
[[file:./.ob-jupyter/2d5aee00e6f799251447c4d0206a214bbd5c18b0.svg]]
|
||||
:END:
|
||||
|
||||
** TODO Power and Efficiency
|
||||
|
|
@ -715,8 +610,8 @@ We need the time points where we sample the total energy.
|
|||
|
||||
#+RESULTS:
|
||||
:RESULTS:
|
||||
: \(P=-0.12\pm 0.05\)
|
||||
[[file:./.ob-jupyter/ee342b28ea9884126abbf873ede39644af783db9.svg]]
|
||||
: \(P=-0.006\pm 0.012\)
|
||||
[[file:./.ob-jupyter/6128cf745a54bf219e524c94c44516724ee55f45.svg]]
|
||||
:END:
|
||||
|
||||
|
||||
|
|
|
|||
Loading…
Add table
Reference in a new issue