Practical considerations in modeling the low light response of photomultiplier tubes in large batch testing

Keyphrases

• Photomultiplier Tube 100%
• Low Light 100%
• Batch Test 100%
• Light Response 100%
• Computation Time 50%
• Artificial Neural Network 50%
• Neural Network Training 50%
• Machine Learning Algorithms 50%
• Large-scale Testing 50%
• Phenomenological Models 50%
• Expected Uncertainty 50%
• Light Yield 50%
• Ring Imaging Cherenkov Detector 50%
• Subatomic Particles 50%
• Effective Means 50%

Engineering

• Main Characteristic 100%
• Computation Time 100%
• Paramount Importance 100%
• Phenomenological Model 100%
• Effective Mean 100%
• Machine Learning Algorithm 100%
• Artificial Neural Network 100%

Computer Science

• Considered Model 100%
• Machine Learning Algorithm 50%
• Trained Neural Network 50%
• Paramount Importance 50%
• Computation Time 50%
• Artificial Neural Network 50%