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## For Non-Physicists and New Interns
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This repository contains code developed to be used at the CMS Experiment, specifically for retrieving recorded hits from atomic particles on the CMS Detector within the Large Hadron Collider.
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When high-energy particles move away from the center of the detector post-collision, they leave energy signatures on silicon based micro-chips placed along the layers of the detector. Different layers of the detector are specialized for different putposes, such as the pixel tracker (one of the innermost layers) is specialized for smaller particles that are easily stopped whereas the outer layers of the detector are specialized for heavier, higher momentum particles that are harder to stop.
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The plots below show how the detector geometry is through extracting the energy signatures from the particles moving through the layers aka 'hits'. They show how the hundreds of thousands of hits (rechits, simHits, stereo rechits) tend to highlight the entire layout of the silicon plates along each layer (1 through 6) on the CMS detector. There are separate plots for inner and outer layers for clarity.
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[Outer Detector Geometry](plot-1.png)
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[Inner Detector Geometry](plot-2.png)
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[Not all types of Particles 'hit' all Layers](plot-3.png)
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![Outer Detector Geometry](plot-1.png)
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![Inner Detector Geometry](plot-2.png)
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![Not all types of Particles 'hit' all Layers](plot-3.png)
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To skip some theory, we prototype how we can reconstruct a subset of tracks and a qualitative comparison of how well a random sample of tracks fits the data (rechits). Already with simple clustering in a lower dimensional space, we can see the tracks fitting the data relatively well. Note that these tracks are actually helical in structure, but are represented using a subset of their [track parameters](https://www-cdf.fnal.gov/physics/new/qcd/ue_escan/etaphi.html) (transverse momentum, pseudo-rapidity, azimuthal angle) for the clustering and plotted in 2 dimensions.
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[Track Reconstruction using Clustering](scatter-1.png)
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![Track Reconstruction using Clustering](scatter-1.png)
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# TrackingNtuples
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Custom Plugin for the CMSSW Repository

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