Publications by authors named "S L Schmitt"
High-energy nuclear collisions create a quark-gluon plasma, whose initial condition and subsequent expansion vary from event to event, impacting the distribution of the eventwise average transverse momentum [P([p_{T}])]. Disentangling the contributions from fluctuations in the nuclear overlap size (geometrical component) and other sources at a fixed size (intrinsic component) remains a challenge. This problem is addressed by measuring the mean, variance, and skewness of P([p_{T}]) in ^{208}Pb+^{208}Pb and ^{129}Xe+^{129}Xe collisions at sqrt[s_{NN}]=5.
View Article and Find Full Text PDFArticle Synopsis
- The study investigates CP symmetry violation in the decay of D^{+} particles into K^{-}K^{+}π^{+} using data from proton-proton collisions at a high energy of 13 TeV.
- A unique model-independent method was employed to analyze the phase-space distributions of D^{+} and D^{-} particles, correcting for any instrumental biases using D_{s}^{+} decays.
- The findings indicate no significant evidence of CP violation, with a p value of 8.1%, and measure specific CP asymmetry observables, marking this study as the most sensitive search of its kind in multibody decays.
Background And Objectives: The use of rapid response EEG (rr-EEG) has recently expanded in limited-resource settings and as a supplement to conventional EEG to rapidly detect and treat nonconvulsive status epilepticus. The study objective was to test the accuracy of an rr-EEG's automated seizure burden estimator (ASBE).
Methods: This is a retrospective observational study using multiple blinded reviewers.
Background: Finding appropriate model parameters for multi-compartmental neuron models can be challenging. Parameters such as the leak and axial conductance are not always directly derivable from neuron observations but are crucial for replicating desired observations. The objective of this study is to replicate the attenuation behavior of an excitatory postsynaptic potential (EPSP) traveling along a linear chain of compartments on the analog BrainScaleS-2 neuromorphic hardware platform.
View Article and Find Full Text PDF