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Artificial Primary Vertexing Data

<p>This data set contains the positions of artificial vertex positions and the associated particle tracks within the Compact Muon Solenoid (CMS) particle detector located at the Large Hadron Collider (LHC). A Gaussian with a width of 35 mm is used to approximate the vertex position distribution. The z₀ parameter of the artificial particle tracks is also sampled from a Gaussian centered around the sampled vertex position with a width determined from track resolutions reported by the CMS Collaboration in &quot;Description and performance of track and primary-vertex reconstruction with the CMS tracker&quot; (2014). The widths of the z₀ Gaussian distribution are dependent on the momentum of the particle tracks, which are also sampled from the reported distribution in the aforementioned paper.</p> <p>&nbsp;</p> <p>The zipped data set contains 100 samples for a given number of primary vertices and particle tracks. Seven different configurations for a given number of primary vertices and particle tracks are included, giving a total number of 700 samples to analyze. Each sample is a JSON file containing the primary vertex location and the associated tracks with their positions and uncertainties. Below is an example code in Python to load the data set:</p> <pre><code class="language-python">inputFile = open(filename) d_vertextracks = json.load(inputFile) zT_i = [] zT_unc_i = [] for vertexTracks in d_vertextracks: primary_vertex = vertexTracks[0] tracks = vertexTracks[1] for i in tracks: zT_i.append(i[0]) zT_unc_i.append(i[1]) print(str(i[0])+" "+str(i[1]))</code></pre> <p>&nbsp;</p>