Publications (5)
The Machine Learning Landscape of Top Taggers
G. Kasieczka, T. Plehn, A. Butter +24
Based on the established task of identifying boosted, hadronically decaying top quarks, we compare a wide range of modern machine learning approaches. Unlike most established metho…
A Note on (Meta)stable Brane Configurations in MQCD
I. Bena, E. Gorbatov, S. Hellerman +2
We examine the M-theory version of SQCD which is known as MQCD. In the IIA limit, this theory appears to have a supersymmetry-breaking brane configuration which corresponds to the…
Opportunities in Flavour Physics at the HL-LHC and HE-LHC
A. Cerri, V. V. Gligorov, S. Malvezzi +300
Motivated by the success of the flavour physics programme carried out over the last decade at the Large Hadron Collider (LHC), we characterize in detail the physics potential of it…
Artificial Intelligence for the Electron Ion Collider (AI4EIC)
C. Allaire, R. Ammendola, E. -C. Aschenauer +92
The Electron-Ion Collider (EIC), a state-of-the-art facility for studying the strong force, is expected to begin commissioning its first experiments in 2028. This is an opportune t…
The Linear Theory Power Spectrum from the Lyman-alpha Forest in the Sloan Digital Sky Survey
P. McDonald, U. Seljak, R. Cen +12
We analyze the SDSS Ly-alpha forest P_F(k,z) measurement to determine the linear theory power spectrum. Our analysis is based on fully hydrodynamic simulations, extended using hydr…