Publications (4)
Benchmarking Machine Learning Techniques with Di-Higgs Production at the LHC
Benjamin Tannenwald, Christopher Neu, Ang Li +5
Many domains of high energy physics analysis are starting to explore machine learning techniques. Powerful methods can be used to identify and measure rare processes from previousl…
W/Z + Light Flavor Jets and W/Z + Heavy Flavor Jets at the Tevatron
Christopher Neu
Collider signatures containing bosons and jets are particularly interesting. Recent theoretical effort has been devoted to determining predictions of W/Z + multiple parton producti…
US Cosmic Visions: New Ideas in Dark Matter 2017: Community Report
Marco Battaglieri, Alberto Belloni, Aaron Chou +248
This white paper summarizes the workshop "U.S. Cosmic Visions: New Ideas in Dark Matter" held at University of Maryland on March 23-25, 2017.
Energy Calibration of b-Quark Jets with Z->b-bbar Decays at the Tevatron Collider
Julien Donini, Tommaso Dorigo, Kenichi Hatakeyama +6
The energy measurement of jets produced by b-quarks at hadron colliders suffers from biases due to the peculiarities of the hadronization and decay of the originating B hadron. The…