Boosting and Convolutional Neural Networks For Particle Identification PID Upgrade in ALICE T he upgrade will increase the rate of particle collisions improving the quality of results ID: 811249
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Slide1
Khalid Teli
.
1
Implementing
Boosting and Convolutional Neural Networks
For Particle
Identification (PID
)
Slide2Upgrade
in ALICE. The upgrade will increase
the rate of particle collisions improving the quality of results.
Artificial
neural networks are used to identify particles at ALICE. A similar
experiment MiniBooNE uses boosting to identify particles.ALICE’s upgrade is imposing new challenges, that require the development of a current particle identification algorithms.Need to determine what type of machine learning algorithms are needed for PID, after upgrade.Technique: All we need is to supress more background and keep high signal efficiency
Need for Advanced PID
Slide3Aim:
Slide44Objectives
Slide55
Current PID techniques
Slide66
Why Convolution Neural Networks?
Slide77
Motivation for combining Boosting with
CNNs in PID
Slide8PythonMatlab
RProgramming Languages
Slide99Conclusion
This project will look for a more efficient particle identification technique.
Slide10Thank you for your attention.
Any Questions
?