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20192026
most citedAchievements and Perspectives of Optical Fiber Fabry-Perot Cavities

84 citations

Showing 2021Show all

9 papers · 1 filter

hep-ph2021★ 2 cited

A machine learning pipeline for autonomous numerical analytic continuation of Dyson-Schwinger equations

Andreas Windisch, Thomas Gallien, Christopher Schwarzlmueller

Dyson-Schwinger equations (DSEs) are a non-perturbative way to express n-point functions in quantum field theory. Working in Euclidean space and in Landau gauge, for example, one c…

physics.class-ph2021★ 19 cited

Full analytical solution for the magnetic field of uniformly magnetized cylinder tiles

Florian Slanovc, Michael Ortner, Mohssen Moridi +2

We present an analytical solution for the magnetic field of a homogeneously magnetized cylinder tile and by extension solutions for full cylinders, rings, cylinder sectors and ring…

hep-ph2021

Quenched glueball spectrum from functional equations

Markus Q. Huber, Christian S. Fischer, Hèlios Sanchis-Alepuz

We give an overview of results for the quenched glueball spectrum from two-body bound state equations based on the 3PI effective action. The setup, which uses self-consistently cal…

physics.optics2021★ 84 cited

Achievements and Perspectives of Optical Fiber Fabry-Perot Cavities

Hannes Pfeifer, Lothar Ratschbacher, Jose Gallego +8

Fabry-Perot interferometers have stimulated numerous scientific and technical applications ranging from high resolution spectroscopy over metrology, optical filters to interfaces o…

hep-ph2021★ 34 cited

Higher spin glueballs from functional methods

Markus Q. Huber, Christian S. Fischer, Helios Sanchis-Alepuz

We calculate the glueball spectrum for spin up to J=4 and positive charge parity in pure Yang-Mills theory. We construct the full bases for J=0,1,2,3,4 and discuss the relation to…

cs.CR2021★ 11 cited

FooBaR: Fault Fooling Backdoor Attack on Neural Network Training

Jakub Breier, Xiaolu Hou, Martín Ochoa +1

Neural network implementations are known to be vulnerable to physical attack vectors such as fault injection attacks. As of now, these attacks were only utilized during the inferen…

cs.LG2021★ 20 cited

Stochastic Mutual Information Gradient Estimation for Dimensionality Reduction Networks

Ozan Ozdenizci, Deniz Erdogmus

Feature ranking and selection is a widely used approach in various applications of supervised dimensionality reduction in discriminative machine learning. Nevertheless there exists…

math.OC2021★ 19 cited

GEASI: Geodesic-based Earliest Activation Sites Identification in cardiac models

Thomas Grandits, Alexander Effland, Thomas Pock +3

The identification of the initial ventricular activation sequence is a critical step for the correct personalization of patient-specific cardiac models. In healthy conditions, the…

gr-qc2021★ 7 cited

Neutron Stars in Palatini and Theories

Georg Herzog, Hèlios Sanchis-Alepuz

We study solutions of the stellar structure equations for spherically symmetric objects in Palatini and in the mass-radius region associated to neu…