1 code implementation • 27 Nov 2017 • Matthew J. Dolan, Felix Kahlhoefer, Christopher McCabe
Dark matter (DM) particles with mass in the sub-GeV range are an attractive alternative to heavier weakly-interacting massive particles, but direct detection of such light particles is challenging.
High Energy Physics - Phenomenology Cosmology and Nongalactic Astrophysics High Energy Physics - Experiment
2 code implementations • 2 Sep 2016 • James Barnard, Edmund Noel Dawe, Matthew J. Dolan, Nina Rajcic
Machine learning methods incorporating deep neural networks have been the subject of recent proposals for new hadronic resonance taggers.
High Energy Physics - Phenomenology High Energy Physics - Experiment
1 code implementation • 14 Mar 2016 • Antonio Boveia, Oliver Buchmueller, Giorgio Busoni, Francesco D'Eramo, Albert De Roeck, Andrea De Simone, Caterina Doglioni, Matthew J. Dolan, Marie-Helene Genest, Kristian Hahn, Ulrich Haisch, Philip C. Harris, Jan Heisig, Valerio Ippolito, Felix Kahlhoefer, Valentin V. Khoze, Suchita Kulkarni, Greg Landsberg, Steven Lowette, Sarah Malik, Michelangelo Mangano, Christopher McCabe, Stephen Mrenna, Priscilla Pani, Tristan du Pree, Antonio Riotto, David Salek, Kai Schmidt-Hoberg, William Shepherd, Tim M. P. Tait, Lian-Tao Wang, Steven Worm, Kathryn Zurek
This document summarises the proposal of the LHC Dark Matter Working Group on how to present LHC results on $s$-channel simplified dark matter models and to compare them to direct (indirect) detection experiments.
High Energy Physics - Experiment High Energy Physics - Phenomenology