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massFractions.html 6.7 KB

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  9. or still orbitting the main mass for different perturbing masses" />
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  19. <article id="content">
  20. <header>
  21. <h1 class="title"><code>analysis.massFractions</code> module</h1>
  22. </header>
  23. <section id="section-intro">
  24. <p>Plot the mass that, at large times, is stolen, in the tail
  25. or still orbitting the main mass for different perturbing masses</p>
  26. <details class="source">
  27. <summary>Source code</summary>
  28. <pre><code class="python">&#34;&#34;&#34;Plot the mass that, at large times, is stolen, in the tail
  29. or still orbitting the main mass for different perturbing masses
  30. &#34;&#34;&#34;
  31. import matplotlib.pyplot as plt
  32. import numpy as np
  33. from analysis import utils
  34. from analysis.segmentation import segmentEncounter
  35. # Masses are given relative to 100, with respect to the main mass
  36. masses = np.array([20, 33, 50, 75, 100, 150, 200, 300, 400, 500, 600])
  37. tailFractions, stolenFractions = [], []
  38. f, ax = plt.subplots(1, 1, sharey=True)
  39. # For each encounter calculate the fraction of stolen and tail mass
  40. for mass in masses:
  41. data = utils.loadData(&#39;{}mass&#39;.format(mass), 10000)
  42. masks, _, _ = segmentEncounter(data)
  43. tailFractions.append(len(masks[3])/len(data[&#39;r_vec&#39;]))
  44. stolenFractions.append(len(masks[1])/len(data[&#39;r_vec&#39;]))
  45. # Plotting
  46. ax.plot(masses/100, tailFractions, marker=&#39;+&#39;, color=&#39;black&#39;,
  47. markersize=10, label=&#39;Tail&#39;)
  48. ax.plot(masses/100, stolenFractions, marker=&#39;o&#39;, color=&#39;black&#39;,
  49. markersize=8, linestyle=&#39;dashed&#39;, label=&#39;Stolen&#39;, markerfacecolor=&#39;none&#39;)
  50. ax.legend()
  51. utils.setAxes(ax, x=&#39;Companion mass / main mass&#39;, y=&#39;Mass fraction&#39;,
  52. xcoords=(.7,-0.08) ,ycoords=(-0.08,.8))
  53. utils.stylizePlot([ax])
  54. ax.set_ylim(0,.45)
  55. plt.show()</code></pre>
  56. </details>
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  58. <section>
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  62. <section>
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