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fjosw 2021-11-12 15:15:06 +00:00
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@ -578,6 +578,8 @@
<span class="c1"># if type(self.idl[e_name]) is range: # scale tau_exp according to step size</span>
<span class="c1"># texp /= self.idl[e_name].step</span>
<span class="c1"># Critical slowing down analysis</span>
<span class="k">if</span> <span class="n">w_max</span> <span class="o">//</span> <span class="mi">2</span> <span class="o">&lt;=</span> <span class="mi">1</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">Exception</span><span class="p">(</span><span class="s2">&quot;Need at least 8 samples for tau_exp error analysis&quot;</span><span class="p">)</span>
<span class="k">for</span> <span class="n">n</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">w_max</span> <span class="o">//</span> <span class="mi">2</span><span class="p">):</span>
<span class="n">_compute_drho</span><span class="p">(</span><span class="n">n</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
<span class="k">if</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">e_rho</span><span class="p">[</span><span class="n">e_name</span><span class="p">][</span><span class="n">n</span><span class="p">]</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">N_sigma</span><span class="p">[</span><span class="n">e_name</span><span class="p">]</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">e_drho</span><span class="p">[</span><span class="n">e_name</span><span class="p">][</span><span class="n">n</span><span class="p">])</span> <span class="o">&lt;</span> <span class="mi">0</span> <span class="ow">or</span> <span class="n">n</span> <span class="o">&gt;=</span> <span class="n">w_max</span> <span class="o">//</span> <span class="mi">2</span> <span class="o">-</span> <span class="mi">2</span><span class="p">:</span>
@ -2106,6 +2108,8 @@
<span class="c1"># if type(self.idl[e_name]) is range: # scale tau_exp according to step size</span>
<span class="c1"># texp /= self.idl[e_name].step</span>
<span class="c1"># Critical slowing down analysis</span>
<span class="k">if</span> <span class="n">w_max</span> <span class="o">//</span> <span class="mi">2</span> <span class="o">&lt;=</span> <span class="mi">1</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">Exception</span><span class="p">(</span><span class="s2">&quot;Need at least 8 samples for tau_exp error analysis&quot;</span><span class="p">)</span>
<span class="k">for</span> <span class="n">n</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">w_max</span> <span class="o">//</span> <span class="mi">2</span><span class="p">):</span>
<span class="n">_compute_drho</span><span class="p">(</span><span class="n">n</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
<span class="k">if</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">e_rho</span><span class="p">[</span><span class="n">e_name</span><span class="p">][</span><span class="n">n</span><span class="p">]</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">N_sigma</span><span class="p">[</span><span class="n">e_name</span><span class="p">]</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">e_drho</span><span class="p">[</span><span class="n">e_name</span><span class="p">][</span><span class="n">n</span><span class="p">])</span> <span class="o">&lt;</span> <span class="mi">0</span> <span class="ow">or</span> <span class="n">n</span> <span class="o">&gt;=</span> <span class="n">w_max</span> <span class="o">//</span> <span class="mi">2</span> <span class="o">-</span> <span class="mi">2</span><span class="p">:</span>
@ -3002,6 +3006,8 @@ already subtracted from the samples</li>
<span class="c1"># if type(self.idl[e_name]) is range: # scale tau_exp according to step size</span>
<span class="c1"># texp /= self.idl[e_name].step</span>
<span class="c1"># Critical slowing down analysis</span>
<span class="k">if</span> <span class="n">w_max</span> <span class="o">//</span> <span class="mi">2</span> <span class="o">&lt;=</span> <span class="mi">1</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">Exception</span><span class="p">(</span><span class="s2">&quot;Need at least 8 samples for tau_exp error analysis&quot;</span><span class="p">)</span>
<span class="k">for</span> <span class="n">n</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">w_max</span> <span class="o">//</span> <span class="mi">2</span><span class="p">):</span>
<span class="n">_compute_drho</span><span class="p">(</span><span class="n">n</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
<span class="k">if</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">e_rho</span><span class="p">[</span><span class="n">e_name</span><span class="p">][</span><span class="n">n</span><span class="p">]</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">N_sigma</span><span class="p">[</span><span class="n">e_name</span><span class="p">]</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">e_drho</span><span class="p">[</span><span class="n">e_name</span><span class="p">][</span><span class="n">n</span><span class="p">])</span> <span class="o">&lt;</span> <span class="mi">0</span> <span class="ow">or</span> <span class="n">n</span> <span class="o">&gt;=</span> <span class="n">w_max</span> <span class="o">//</span> <span class="mi">2</span> <span class="o">-</span> <span class="mi">2</span><span class="p">:</span>