51 research outputs found
Polyakov-Quark-Meson-Diquark Model for two-color QCD
We present an update on the phase diagram of two-color QCD from a chiral
effective model approach based on a quark-meson-diquark model using the
Functional Renormalization Group (FRG). We discuss the impact of perturbative
UV contributions, the inclusion of gauge field dynamics via a phenomenological
Polyakov loop potential, and the impact of matter backcoupling on the gauge
sector. The corresponding phase diagram including these effects is found to be
in qualitative agreement with recent lattice investigations.Comment: 8 pages, 9 figures; published versio
S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models
Scoring sleep stages in polysomnography recordings is a time-consuming task
plagued by significant inter-rater variability. Therefore, it stands to benefit
from the application of machine learning algorithms. While many algorithms have
been proposed for this purpose, certain critical architectural decisions have
not received systematic exploration. In this study, we meticulously investigate
these design choices within the broad category of encoder-predictor
architectures. We identify robust architectures applicable to both time series
and spectrogram input representations. These architectures incorporate
structured state space models as integral components, leading to statistically
significant advancements in performance on the extensive SHHS dataset. These
improvements are assessed through both statistical and systematic error
estimations. We anticipate that the architectural insights gained from this
study will not only prove valuable for future research in sleep staging but
also hold relevance for other time series annotation tasks.Comment: 11 pages, 1 figure, code available at
https://github.com/AI4HealthUOL/s4slee
Spectral Functions for the Quark-Meson Model Phase Diagram from the Functional Renormalization Group
We present a method to obtain spectral functions at finite temperature and
density from the Functional Renormalization Group. Our method is based on a
thermodynamically consistent truncation of the flow equations for 2-point
functions with analytically continued frequency components in the originally
Euclidean external momenta. For the uniqueness of this continuation at finite
temperature we furthermore implement the physical Baym-Mermin boundary
conditions. We demonstrate the feasibility of the method by calculating the
mesonic spectral functions in the quark-meson model along the temperature axis
of the phase diagram, and at finite quark chemical potential along the
fixed-temperature line that crosses the critical endpoint of the model.Comment: 11 pages, 5 figures, 1 tabl
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