most citedUS Cosmic Visions: New Ideas in Dark Matter 2017: Community Report

179 citations · 208 across the 4 of their papers we have counts for

collaborators

5 papers

physics.ins-det20171 cited

Performance Study of the First 2D Prototype of Vertically Integrated Pattern Recognition Associative Memory (VIPRAM)

Gregory Deptuch, James Hoff, Sergo Jindariani +6

Extremely fast pattern recognition capabilities are necessary to find and fit billions of tracks at the hardware trigger level produced every second anticipated at high luminosity…

hep-ph201720 cited

The importance of calorimetry for highly-boosted jet substructure

Evan Coleman, Marat Freytsis, Andreas Hinzmann +4

Jet substructure techniques are playing an essential role in exploring the TeV scale at the Large Hadron Collider (LHC), since they facilitate the efficient reconstruction and iden…

hep-ph2017179 cited

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.

physics.ins-det20178 cited

Test Beam Performance Measurements for the Phase I Upgrade of the CMS Pixel Detector

M. Dragicevic, M. Friedl, J. Hrubec +481

A new pixel detector for the CMS experiment was built in order to cope with the instantaneous luminosities anticipated for the Phase~I Upgrade of the LHC. The new CMS pixel detecto…

hep-ph2016

Thinking outside the ROCs: Designing Decorrelated Taggers (DDT) for jet substructure

James Dolen, Philip Harris, Simone Marzani +2

We explore the scale-dependence and correlations of jet substructure observables to improve upon existing techniques in the identification of highly Lorentz-boosted objects. Modifi…