713 citations · 4.9k across the 50 of their papers we have counts for
51 papers
Data Preservation in High Energy Physics
Alexandre Arbey, Jamie Boyd, Daniel Britzger +45
Data preservation significantly increases the scientific output of high-energy physics experiments during and after data acquisition. For new and ongoing experiments, the careful c…
Data Preservation in High Energy Physics
T. Basaglia, M. Bellis, J. Blomer +51
Data preservation is a mandatory specification for any present and future experimental facility and it is a cost-effective way of doing fundamental research by exploiting unique da…
Machine Learning and LHC Event Generation
Anja Butter, Tilman Plehn, Steffen Schumann +48
First-principle simulations are at the heart of the high-energy physics research program. They link the vast data output of multi-purpose detectors with fundamental theory predicti…
Efficiency Parameterization with Neural Networks
C. Badiali, F. A. Di Bello, G. Frattari +4
Multidimensional efficiency maps are commonly used in high energy physics experiments to mitigate the limitations in the generation of large samples of simulated events. Binned mul…
Search for the electroweak production of supersymmetric particles in =8 TeV collisions with the ATLAS detector
ATLAS Collaboration
The ATLAS experiment has performed extensive searches for the electroweak production of charginos, neutralinos and staus. This article summarizes and extends the search for electro…
Study of the and decays with the ATLAS detector
ATLAS Collaboration
The decays and are studied with the ATLAS detector at the LHC using a dataset corresponding to integrated luminosities of 4.9 fb…