activity
20002016
most citedObservation of a Narrow Meson Decaying to Ds+pi0 at a Mass of 2.32 GeV/c^2

704 citations · 2.8k across the 60 of their papers we have counts for

collaborators

60 papers

hep-ph2016

On the frequency distribution of neutral particles from low-energy strong interactions

Federico Colecchia, Akram Khan

The rejection of the contamination, or background, from low-energy strong interactions at hadron collider experiments is a topic that has received significant attention in the fiel…

hep-ph2015★ 2 cited

Data-driven estimation of neutral pileup particle multiplicity in high-luminosity hadron collider environments

Federico Colecchia

The upcoming operation regimes of the Large Hadron Collider are going to place stronger requirements on the rejection of particles originating from pileup, i.e. from interactions b…

hep-ph2014★ 2 cited

Particle-level kinematic fingerprints and the multiplicity of neutral particles from low-energy strong interactions

Federico Colecchia

The contamination, or background, from uninteresting low-energy strong interactions is a major issue for data analysis at the Large Hadron Collider. In the light of the challenges…

physics.data-an2013

Toward the estimation of background fluctuations under newly-observed signals in particle physics

Federico Colecchia

When the number of events associated with a signal process is estimated in particle physics, it is common practice to extrapolate background distributions from control regions to a…

physics.data-an2013★ 2 cited

Toward particle-level filtering of individual collision events at the Large Hadron Collider and beyond

Federico Colecchia

Low-energy strong interactions are a major source of background at hadron colliders, and methods of subtracting the associated energy flow are well established in the field. Tradit…

physics.data-an2012★ 5 cited

A sampling algorithm to estimate the effect of fluctuations in particle physics data

Federico Colecchia

Background properties in experimental particle physics are typically estimated using large data sets. However, different events can exhibit different features because of the quantu…