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  18. <article id="content">
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  19. <header>
    20. 

  20. <h1 class="title"><code>analysis.eccentricity</code> module</h1>
    21. 

  21. </header>
    22. 

  22. <section id="section-intro">
    23. 

  23. <p>Plot the eccentricity of the orbits of the particles in an encounter</p>
    24. 

  24. <details class="source">
    25. 

  25. <summary>Source code</summary>
    26. 

  26. <pre><code class="python">&#34;&#34;&#34;Plot the eccentricity of the orbits of the particles in an encounter&#34;&#34;&#34;
    27. 

  27. 

  28. import matplotlib.pyplot as plt
    29. 

  29. import numpy as np
    30. 

  30. 

  31. from analysis import utils
    32. 

  32. from analysis.segmentation import segmentEncounter
    33. 

  33. 

  34. # Segment the encounter
    35. 

  35. data = utils.loadData(&#39;200mass&#39;, 15000)
    36. 

  36. (bridgeMask, stolenMask, orbittingMask, tailMask), _, _ = segmentEncounter(data)
    37. 

  37. # Avoid central masses
    38. 

  38. orbittingMask, stolenMask = orbittingMask[1:], stolenMask[1:] 
    39. 

  39. 

  40. # Calculate the eccentricities
    41. 

  41. tailE = utils.calculateEccentricity(1.0, data[&#39;r_vec&#39;][0], data[&#39;v_vec&#39;][0], 
    42. 

  42.         data[&#39;r_vec&#39;][tailMask], data[&#39;v_vec&#39;][tailMask])
    43. 

  43. stolenE = utils.calculateEccentricity(2.0, data[&#39;r_vec&#39;][1], data[&#39;v_vec&#39;][1], 
    44. 

  44.         data[&#39;r_vec&#39;][stolenMask], data[&#39;v_vec&#39;][stolenMask])
    45. 

  45. orbittingE = utils.calculateEccentricity(1.0, data[&#39;r_vec&#39;][0], data[&#39;v_vec&#39;][0], 
    46. 

  46.         data[&#39;r_vec&#39;][orbittingMask], data[&#39;v_vec&#39;][orbittingMask])
    47. 

  47. 

  48. # Plotting
    49. 

  49. f, ax = plt.subplots(1, 1)
    50. 

  50. bins = np.linspace(0, 10, 301)
    51. 

  51. style = {&#39;linestyle&#39;:&#39;solid&#39;, &#39;normed&#39;:True, &#39;color&#39;:&#39;black&#39;}
    52. 

  52. ax.hist(tailE, bins=bins, histtype=&#39;step&#39;, label=&#39;tail&#39;, **style)
    53. 

  53. ax.hist(stolenE, bins=bins, histtype=&#39;step&#39;, label=&#39;stolen&#39;, **style)
    54. 

  54. ax.hist(orbittingE, bins=bins, histtype=&#39;step&#39;, label=&#39;orbitting&#39;, **style)
    55. 

  55. 

  56. # Plotting styling
    57. 

  57. utils.setSize(ax, x=(0,2))
    58. 

  58. utils.setAxes(ax, x=&#39;Eccentricity&#39;, y=&#39;Density of particles&#39;, 
    59. 

  59.         xcoords=(.85,-0.08), ycoords=(-0.1,.65))
    60. 

  60. ax.legend(loc=&#39;upper right&#39;)
    61. 

  61. utils.stylizePlot([ax])
    62. 

  62. ax.axvline(x=1, c=&#39;black&#39;)
    63. 

  63. plt.show()
    64. 

  64. 

  65. # Summarize the results
    66. 

  66. print(&#39;Not shown, fraction of particles in tail with e&gt;2.0:&#39;, 
    67. 

  67.         np.sum(tailE &gt; 2)/len(tailE))
    68. 

  68. print(&#39;Tail, higher than e&gt;1:&#39;, np.sum(tailE &gt; 1)/len(tailE))
    69. 

  69. print(&#39;Stolen, higher than e&gt;1:&#39;, np.sum(stolenE &gt; 1)/len(stolenE))
    70. 

  70. print(&#39;Orbitting, higher than e&gt;1:&#39;, np.sum(orbittingE &gt; 1)/len(orbittingE))</code></pre>
    71. 

  71. </details>
    72. 

  72. </section>
    73. 

  73. <section>
    74. 

  74. </section>
    75. 

  75. <section>
    76. 

  76. </section>
    77. 

  77. <section>
    78. 

  78. </section>
    79. 

  79. <section>
    80. 

  80. </section>
    81. 

  81. </article>
    82. 

  82. <nav id="sidebar">
    83. 

  83. <h1>Index</h1>
    84. 

  84. <div class="toc">
    85. 

  85. <ul></ul>
    86. 

  86. </div>
    87. 

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    88. 

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