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fjosw 2022-02-07 14:37:50 +00:00
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@ -602,8 +602,6 @@
<span class="n">_compute_drho</span><span class="p">(</span><span class="mi">1</span><span class="p">)</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">tau_exp</span><span class="p">[</span><span class="n">e_name</span><span class="p">]</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">:</span>
<span class="n">texp</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">tau_exp</span><span class="p">[</span><span class="n">e_name</span><span class="p">]</span>
<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>
@ -2201,8 +2199,6 @@
<span class="n">_compute_drho</span><span class="p">(</span><span class="mi">1</span><span class="p">)</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">tau_exp</span><span class="p">[</span><span class="n">e_name</span><span class="p">]</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">:</span>
<span class="n">texp</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">tau_exp</span><span class="p">[</span><span class="n">e_name</span><span class="p">]</span>
<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>
@ -3210,8 +3206,6 @@ already subtracted from the samples</li>
<span class="n">_compute_drho</span><span class="p">(</span><span class="mi">1</span><span class="p">)</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">tau_exp</span><span class="p">[</span><span class="n">e_name</span><span class="p">]</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">:</span>
<span class="n">texp</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">tau_exp</span><span class="p">[</span><span class="n">e_name</span><span class="p">]</span>
<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>