Results 51 to 60 of about 531,669 (333)
Tuning pythia for forward physics experiments [PDF]
Event generators like Pythia play an important role in physics studies at the Large Hadron Collider (LHC). While they make accurate predictions in the central region, i.e. at pseudorapidities $\eta7$, has been observed.
M. Fieg+3 more
semanticscholar +1 more source
Missing kinematic information of known invisible particles, such as neutrinos, limit several high-energy physics analysis. The undetected particle carries away momentum and energy information, preventing the total reconstruction of such an event.
Thomas M. G. Kraetzschmar+6 more
doaj +1 more source
Event Generation and Density Estimation with Surjective Normalizing Flows [PDF]
Normalizing flows are a class of generative models that enable exact likelihood evaluation. While these models have already found various applications in particle physics, normalizing flows are not flexible enough to model many of the peripheral features
R. Verheyen
semanticscholar +1 more source
Particle physics origin of the 5 MeV bump in the reactor antineutrino spectrum? [PDF]
One of the most puzzling questions in neutrino physics is the origin of the excess at 5 MeV in the reactor antineutrino spectrum. In this paper, we explore the excess via the reaction $^{13}$C$(\overline{\nu}, \overline{\nu}^\prime n)^{12}$C$^*$ in ...
J. Berryman, V. Brdar, P. Huber
semanticscholar +1 more source
International Particle Physics Masterclasses with LHC data
The International Particle Physics Masterclasses is an educational activity developed by the International Particle Physics Outreach Group with the aim to bring the excitement of cutting-edge particle-physics research into the classroom.
Foka Panagiota
doaj +1 more source
Event generation and statistical sampling for physics with deep generative models and a density information buffer [PDF]
Simulating nature and in particular processes in particle physics require expensive computations and sometimes would take much longer than scientists can afford.
S. Otten+8 more
semanticscholar +1 more source
Quantum Generative Adversarial Networks For Anomaly Detection In High Energy Physics [PDF]
The standard model (SM) of particle physics represents a theoretical paradigm for the description of the fundamental forces of nature. Despite its broad applicability, the SM does not enable the description of all physically possible events.
Elie Bermot+6 more
semanticscholar +1 more source
A critical question concerning generative networks applied to event generation in particle physics is if the generated events add statistical precision beyond the training sample.
Anja Butter, Sascha Diefenbacher, Gregor Kasieczka, Benjamin Nachman, Tilman Plehn
doaj +1 more source
Machine Learning for Particle Flow Reconstruction at CMS [PDF]
We provide details on the implementation of a machine-learning based particle flow algorithm for CMS. The standard particle flow algorithm reconstructs stable particles based on calorimeter clusters and tracks to provide a global event reconstruction ...
J. Pata+7 more
semanticscholar +1 more source
Multiplicity Distributions and Charged-neutral Fluctuations [PDF]
Results from the multiplicity distributions of inclusive photons and charged particles, scaling of particle multiplicities, event-by-event multiplicity fluctuations, and charged-neutral fluctuations in 158$\cdot A$ GeV Pb+Pb collisions are presented and ...
A A Anselm+185 more
core +10 more sources