scispace - formally typeset
E

Edward Allen Wenger

Researcher at Massachusetts Institute of Technology

Publications -  389
Citations -  42435

Edward Allen Wenger is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Large Hadron Collider & Pseudorapidity. The author has an hindex of 91, co-authored 382 publications receiving 39634 citations. Previous affiliations of Edward Allen Wenger include University of Mississippi & University of Minnesota.

Papers
More filters
Journal ArticleDOI

Search for contact interactions using the inclusive jet pT spectrum in pp collisions at s√=7 TeV

S. Chatrchyan, +2169 more
- 26 Mar 2013 - 
TL;DR: In this paper, a search for a deviation in the jet production cross section from the prediction of perturbative quantum chromodynamics at next-to-leading order was conducted using a 7 TeV proton-proton data sample corresponding to an integrated luminosity of 5.0 inverse femtobarns, collected with the Compact Muon Solenoid detector at the Large Hadron Collider.
Journal ArticleDOI

Modeling the genetic relatedness of Plasmodium falciparum parasites following meiotic recombination and cotransmission.

TL;DR: A malaria transmission model that simulates sexual reproduction is developed that is used to analyze the genetic relatedness of polygenomic infections following a series of multiple transmission events and the effects of superinfection.
Journal ArticleDOI

Search for large extra dimensions in dimuon and dielectron events in pp collisions at s=7 TeV

S. Chatrchyan, +2253 more
TL;DR: In this article, a search for large, extra spatial dimensions in events with either two isolated muons or two isolated electrons was conducted, and the results showed that the limits at 95% confidence level are in the range 25 TeV < Ms < 38 TeV, where Ms characterizes the scale for the onset of quantum gravity.
Journal ArticleDOI

Effectiveness of reactive case detection for malaria elimination in three archetypical transmission settings: a modelling study

TL;DR: Simulations predict that success of elimination campaigns in both low- and high-transmission areas is strongly dependent on stemming the flow of imported infections, underscoring the need for regional-scale strategies capable of reducing transmission concurrently across many connected areas.
Journal ArticleDOI

The PHOBOS collaboration

B. Alver, +139 more
- 01 Nov 2009 -