3 papers
hep-ph2025
Higgs Production Classifier using Weak Supervision
Kai-Feng Chen, Yi-An Chen, Cheng-Wei Chiang +1
A reliable determination of the Higgs production mechanism in hadron collider experiments is essential in the program of the measurements of the Higgs couplings. We employ weak sup…
hep-ph2025
Enhancing the Sensitivity for Triple Higgs Boson Searches with Deep Learning Techniques
Cheng-Wei Chiang, Feng-Yang Hsieh, Shih-Chieh Hsu +2
Using two benchmark models containing extended scalar sectors beyond the Standard Model, we study deep learning techniques to enhance the sensitivity of resonant triple Higgs boson…
hep-ph2024
Improving the performance of weak supervision searches using data augmentation
Zong-En Chen, Cheng-Wei Chiang, Feng-Yang Hsieh
Weak supervision combines the advantages of training on real data with the ability to exploit signal properties. However, training a neural network using weak supervision often req…