Deep Learning applied to Quantum Field Theory. An AI that predicts LHC pair production cross-sections for supersymmetric particles at next-to-leading order.
Requirements: Recent versions of Tensorflow, Keras, Pandas and pyslha.
Essential files are main.py, reader.py, AI_builder.py, preprocessing.py, predictors.py and the weight files in the directories. See DeepXS_manual.pdf for instructions on how to use this tool.