Dataset Open Access

# Electromagnetic Calorimeter Shower Images with Variable Incidence Angle and Position

Paganini, Michela; de Oliveira, Luke; Nachman, Benjamin

### Dublin Core Export

<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
<dc:creator>Paganini, Michela</dc:creator>
<dc:creator>de Oliveira, Luke</dc:creator>
<dc:creator>Nachman, Benjamin</dc:creator>
<dc:date>2017-08-21</dc:date>
<dc:description>Each file is a collection of 500,000 (or 400,000 in the case of positrons) calorimeter showers corresponding to the particle specified in the file name (eplus = positrons, gamma = photons, piplus = charged pions).

The calorimeter we built is segmented longitudinally into three layer with different depths and granularities. In units of mm, the three layers have the following (eta, phi, z) dimensions:
Layer 0: (5, 160, 90) | Layer 1: (40, 40, 347) | Layer 2: (80, 40, 43)

In the HDF5 files, the energy entry specifies the true energy of the incoming particle in units of GeV. layer_0, layer_1, and layer_2 represents the energy deposited in each layer of the calorimeter in an image data format. Given the segmentation of each calorimeter layer, these images have dimensions 3x96 (in layer 0), 12x12 (in layer 1), and 12x6 (in layer 3). The overflow contains the amount of energy that was deposited outside of the calorimeter section we are considering. The fields x0, y0, z0, t0, px, py, pz provide position and kinematic information of incident particles upon impact. </dc:description>
<dc:identifier>https://zenodo.org/record/846388</dc:identifier>
<dc:identifier>10.17632/5fnxs6b557</dc:identifier>
<dc:identifier>oai:zenodo.org:846388</dc:identifier>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:subject>Machine Learning</dc:subject>
<dc:subject>Deep Learning</dc:subject>
<dc:subject>High Energy Physics</dc:subject>
<dc:subject>Calorimeter</dc:subject>
<dc:subject>Images</dc:subject>
<dc:title>Electromagnetic Calorimeter Shower Images with Variable Incidence Angle and Position</dc:title>
<dc:type>info:eu-repo/semantics/other</dc:type>
<dc:type>dataset</dc:type>
</oai_dc:dc>

168
32
views