A neural network clustering algorithm for the ATLAS silicon pixel detector
A novel technique to identify and split clusters created by multiple charged particles in the ATLAS pixel detector using a set of artificial neural networks is presented. Such merged clusters are a common feature of tracks originating from highly energetic objects, such as jets. Neural networks are...
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| Other Authors: | , |
| Format: | article |
| Language: | eng |
| Published: |
2014
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| Subjects: | |
| Online Access: | http://hdl.handle.net/1822/32557 |
| Country: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/32557 |