GAPTs

Front matter Abstract of the Dissertation Introduction I Theoretical Background II Experimental Background III AI/ML and Statistics Background IV Accelerating Simulations with AI V Searches for High Energy Higgs Boson Pairs VI AI for Jets VII Appendix A Supplementary Material for Chapter 2 B Supplementary Material for Chapter 3 C Supplementary Material for Chapter 10 C.1 MPGANs C.2 GAPTs C.2.1 Results on 150-particle jets D Supplementary Material for Chapter 11 E Supplementary Material for Chapter 16 Bibliography

C.2 GAPTs

C.2.1 Results on 150-particle jets

The distributions of real and generated particle and jet features for 150-particle gluon jets by MPGAN and iGAPT are shown in Figure C.5.

Figure C.5. Low-level particle feature distributions (far left and center left) and high-level jet feature distributions (center right and far right) for the real data (red), MPGAN-generated data (blue), and iGAPT-generated data (green), for 150-particle gluon jets. A sample $d = 4$ energy flow polynomial [322] is chosen in the rightmost column.

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