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19952025
most citedNuclear Mass Predictions for the Crustal Composition of Neutron Stars: A Bayesian Neural Network Approach

237 citations · 2.3k across the 83 of their papers we have counts for

collaborators
Showing 2020Show all

10 papers · 1 filter

physics.ins-det2020

Construction and commissioning of CMS CE prototype silicon modules

B. Acar, G. Adamov, C. Adloff +327

As part of its HL-LHC upgrade program, the CMS Collaboration is developing a High Granularity Calorimeter (CE) to replace the existing endcap calorimeters. The CE is a sampling cal…

physics.ins-det2020★ 10 cited

The DAQ system of the 12,000 Channel CMS High Granularity Calorimeter Prototype

B. Acar, G. Adamov, C. Adloff +327

The CMS experiment at the CERN LHC will be upgraded to accommodate the 5-fold increase in the instantaneous luminosity expected at the High-Luminosity LHC (HL-LHC). Concomitant wit…

hep-ex2020★ 32 cited

Search for new physics in top quark production with additional leptons in proton-proton collisions at 13 TeV using effective field theory

CMS Collaboration

Events containing one or more top quarks produced with additional prompt leptons are used to search for new physics within the framework of an effective field theory (EFT). The dat…

hep-ph2020

Analysis Description Languages for the LHC

Sezen Sekmen, Philippe Gras, Lindsey Gray +6

An analysis description language is a domain specific language capable of describing the contents of an LHC analysis in a standard and unambiguous way, independent of any computing…

physics.comp-ph2020★ 13 cited

TensorBNN: Bayesian Inference for Neural Networks using Tensorflow

Braden Kronheim, Michelle Kuchera, Harrison Prosper

TensorBNN is a new package based on TensorFlow that implements Bayesian inference for modern neural network models. The posterior density of neural network model parameters is repr…

hep-ph2020★ 18 cited

Bayesian Neural Networks for Fast SUSY Predictions

Braden Kronheim, Michelle Kuchera, Harrison Prosper +1

One of the goals of current particle physics research is to obtain evidence for new physics, that is, physics beyond the Standard Model (BSM), at accelerators such as the Large Had…