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astro-ph.SR2022★ 11 cited

Estimating uncertainties in the back-mapping of the fast solar wind

Alexandros Koukras, Laurent Dolla, Rony Keppens

Solar wind back-mapping is a combination of ballistic mapping and magnetic mapping. By examining the different model ingredients that can affect the derived back-mapped position, w…

hep-th2022★ 2 cited

Wrapped M5-branes and AdS Black Holes

Nikolay Bobev, Vasil Dimitrov, Annelien Vekemans

We use consistent truncations in supergravity to show that the backreaction of rotating M5-branes wrapped on a Riemann surface leads to asymptotically AdS black hole soluti…

astro-ph.SR2022★ 21 cited

Dynamic formation of multi-threaded prominences in arcade configurations

V. Jerčić, R. Keppens

With this study, we aim to understand the nature of prominences, governed by their formation process. We use a state-of-the-art threaded prominence model within a dipped magnetic a…

cs.HC2022★ 1 cited

DOPAMINE: Doppler frequency and Angle of arrival MINimization of tracking Error for extended reality

Andrea Bedin, Alexander Marinšek, Shaghayegh Shahcheraghi +2

In this paper, we investigate how Joint Communication And Sensing (JCAS) can be used to improve the Inertial Measurement Unit (IMU)- based tracking accuracy of eXtended Reality (XR…

physics.plasm-ph2022★ 9 cited

The aperiodic firehose instability of counter-beaming electrons in space plasmas

M. Lazar, R. A. López, P. S. Moya +2

Recent studies have revealed new unstable regimes of the counter-beaming electrons specific to hot and dilute plasmas from astrophysical scenarios. The (counter-)beaming electron f…

astro-ph.SR2022★ 20 cited

A spectroscopic multiplicity survey of Galactic Wolf-Rayet stars. III. The northern late-type nitrogen-rich sample

K. Dsilva, T. Shenar, H. Sana +1

Massive stars are powerful cosmic engines. In the phases immediately preceding core-collapse, massive stars in the Galaxy with may appear as classical…

cond-mat.mes-hall2022★ 55 cited

Low charge noise quantum dots with industrial CMOS manufacturing

Asser Elsayed, Mohamed Shehata, Clement Godfrin +12

Silicon spin qubits are among the most promising candidates for large scale quantum computers, due to their excellent coherence and compatibility with CMOS technology for upscaling…

cs.LG2022★ 17 cited

Can recurrent neural networks learn process model structure?

Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt

Various methods using machine and deep learning have been proposed to tackle different tasks in predictive process monitoring, forecasting for an ongoing case e.g. the most likely…

gr-qc2022★ 12 cited

Electromagnetic Generalized Quasi-topological gravities in dimensions

Pablo Bueno, Pablo A. Cano, Javier Moreno +1

The construction of Quasi-topological gravities in three-dimensions requires coupling a scalar field to the metric. As shown in arXiv:2104.10172, the resulting "Electromagnetic" Qu…

nucl-ex2022★ 5 cited

High-resolution laser system for the S3-Low Energy Branch

Jekabs Romans, Anjali Ajayakumar, Martial Authier +39

In this paper we present the first high-resolution laser spectroscopy results obtained at the GISELE laser laboratory of the GANIL-SPIRAL2 facility, in preparation for the first ex…

math.OC2022★ 2 cited

Gauss-Newton meets PANOC: A fast and globally convergent algorithm for nonlinear optimal control

Pieter Pas, Andreas Themelis, Panagiotis Patrinos

PANOC is an algorithm for nonconvex optimization that has recently gained popularity in real-time control applications due to its fast, global convergence. The present work propose…

cs.CR2022★ 17 cited

Fraud Analytics: A Decade of Research -- Organizing Challenges and Solutions in the Field

Christopher Bockel-Rickermann, Tim Verdonck, Wouter Verbeke

The literature on fraud analytics and fraud detection has seen a substantial increase in output in the past decade. This has led to a wide range of research topics and overall litt…

astro-ph.SR2022★ 24 cited

The initial spin distribution of B-type stars revealed by the split main sequences of young star clusters

Chen Wang, Ben Hastings, Abel Schootemeijer +6

Spectroscopic observations of stars in young open clusters have revealed evidence for a dichotomous distribution of stellar rotational velocities, with 10-30% of stars rotating slo…

math.OC2022★ 2 cited

Anderson Accelerated Feasible Sequential Linear Programming

David Kiessling, Pieter Pas, Alejandro Astudillo +2

This paper proposes an accelerated version of Feasible Sequential Linear Programming (FSLP): the AA()-FSLP algorithm. FSLP preserves feasibility in all intermediate iterates by…

astro-ph.HE2022★ 56 cited

Collisionless accretion onto black holes: dynamics and flares

Alisa Galishnikova, Alexander Philippov, Eliot Quataert +3

We study the accretion of collisionless plasma onto a rotating black hole from first principles using axisymmetric general-relativistic particle-in-cell simulations. We carry out a…

astro-ph.SR2022★ 17 cited

Characteristic Scales of Complexity and Coherence within Interplanetary Coronal Mass Ejections: Insights from Spacecraft Swarms in Global Heliospheric Simulations

Camilla Scolini, Reka M. Winslow, Noé Lugaz +1

Many aspects of the three-dimensional (3-D) structure and evolution of interplanetary coronal mass ejections (ICMEs) remain unexplained. Here, we investigate two main topics: (1) t…

physics.med-ph2022★ 34 cited

PARALLELPROJ -- An open-source framework for fast calculation of projections in tomography

Georg Schramm, Kris Thielemans

In this article, we introduce, a novel open-source framework designed for efficient parallel computation of projections in tomography leveraging either multiple CPU cores or GPUs.…

cond-mat.mes-hall2022★ 20 cited

Physics-Based and Closed-Form Model for Cryo-CMOS Subthreshold Swing

Arnout Beckers, Jakob Michl, Alexander Grill +7

Cryogenic semiconductor device models are essential in designing control systems for quantum devices and in benchmarking the benefits of cryogenic cooling for high-performance comp…

cs.AR2022★ 10 cited

Stream: Design Space Exploration of Layer-Fused DNNs on Heterogeneous Dataflow Accelerators

Arne Symons, Linyan Mei, Steven Colleman +3

As the landscape of deep neural networks evolves, heterogeneous dataflow accelerators, in the form of multi-core architectures or chiplet-based designs, promise more flexibility an…

q-bio.QM2022★ 45 cited

Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis

Shaoxiong Sun, Amos A. Folarin, Yuezhou Zhang +28

A number of challenges exist for the analysis of mHealth data: maintaining participant engagement over extended time periods and therefore understanding what constitutes an accepta…

cs.RO2022★ 7 cited

'Virtual pivot point' in human walking: always experimentally observed but simulations suggest it may not be necessary for stability

L. Schreff, D. F. B. Haeufle, A. Badri-Spröwitz +2

The intersection of ground reaction forces near a point above the center of mass has been observed in computer simulation models and human walking experiments. Observed so ubiquito…

astro-ph.SR2022★ 109 cited

MINDS. The detection of CO with JWST-MIRI indicates abundant CO in a protoplanetary disk

Sierra L. Grant, Ewine F. van Dishoeck, Benoît Tabone +43

We present JWST-MIRI MRS spectra of the protoplanetary disk around the low-mass T Tauri star GW Lup from the MIRI mid-INfrared Disk Survey (MINDS) GTO program. Emission from $^{12}…

math.CA2022★ 6 cited

Planar Orthogonal Polynomials as Type I Multiple Orthogonal Polynomials

Sergey Berezin, Arno B. J. Kuijlaars, Iván Parra

A recent result of S.-Y. Lee and M. Yang states that the planar orthogonal polynomials orthogonal with respect to a modified Gaussian measure are multiple orthogonal polynomials of…

cond-mat.stat-mech2022★ 7 cited

Frenetic steering in a nonequilibrium graph

Bram Lefebvre, Christian Maes

In traditional recognition tasks of neural networks, a potential landscape or cost function guides the system toward patterns using gradient dynamics. That is not how the brain wor…