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<header>
<h1 class="title">Module <code>traceon.focus</code></h1>
</header>

<section id="section-intro">
<p>Module containing a single function to find the focus of a beam of electron trajecories.</p>
</section>

<section>
</section>

<section>
</section>

<section>
<h2 class="section-title" id="header-functions">Functions</h2>
<dl>

<dt id="traceon.focus.focus_position"><code class="name flex">

<span>def <span class="ident">focus_position</span></span>(<span>positions)</span>
</code></dt>
<dd>



<details class="source">
<summary>
<span>Expand source code</span>
</summary>
<pre><code class="python">def focus_position(positions):
&#34;&#34;&#34;
Find the focus of the given trajectories (which are returned from `traceon.tracing.Tracer.__call__`).
The focus is found using a least square method by considering the final positions and velocities of
the given trajectories and linearly extending the trajectories backwards.


Parameters
------------
positions: iterable of (N,6) np.ndarray float64
Trajectories of electrons, as returned by `traceon.tracing.Tracer.__call__`


Returns
--------------
(3,) np.ndarray of float64, representing the position of the focus
&#34;&#34;&#34;
assert all(p.shape == (len(p), 6) for p in positions)

angles_x = np.array([p[-1, 3]/p[-1, 5] for p in positions])
angles_y = np.array([p[-1, 4]/p[-1, 5] for p in positions])
x, y, z = [np.array([p[-1, i] for p in positions]) for i in [0, 1, 2]]

N = len(positions)
first_column = np.concatenate( (-angles_x, -angles_y) )
second_column = np.concatenate( (np.ones(N), np.zeros(N)) )
third_column = np.concatenate( (np.zeros(N), np.ones(N)) )
right_hand_side = np.concatenate( (x - z*angles_x, y - z*angles_y) )

(z, x, y) = np.linalg.lstsq(
np.array([first_column, second_column, third_column]).T,
right_hand_side, rcond=None)[0]

return np.array([x, y, z])</code></pre>
</details>

<div class="desc"><p>Find the focus of the given trajectories (which are returned from <code><a title="traceon.tracing.Tracer.__call__" href="tracing.html#traceon.tracing.Tracer.__call__">Tracer.__call__()</a></code>).
The focus is found using a least square method by considering the final positions and velocities of
the given trajectories and linearly extending the trajectories backwards.</p>
<h2 id="parameters">Parameters</h2>
<dl>
<dt><strong><code>positions</code></strong> :&ensp;<code>iterable</code> of <code>(N,6) np.ndarray float64</code></dt>
<dd>Trajectories of electrons, as returned by <code><a title="traceon.tracing.Tracer.__call__" href="tracing.html#traceon.tracing.Tracer.__call__">Tracer.__call__()</a></code></dd>
</dl>
<h2 id="returns">Returns</h2>
<p>(3,) np.ndarray of float64, representing the position of the focus</p></div>
</dd>

</dl>
</section>

<section>
</section>

</article>


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