Tootfinder

Known for his public art installations, ceramic sculpture, photography and mixed-media constructions, Gregor Turk often incorporates mapping, cultural signage and place into his artwork. He recently gave a talk here at our museum in which he discussed his "Welcome" installation of 77 security cameras in the lobby in the greater context of his three-decade practice as well as much more. Enjoy!

Scaling Instructable Agents Across Many Simulated Worlds
SIMA Team, Maria Abi Raad, Arun Ahuja, Catarina Barros, Frederic Besse, Andrew Bolt, Adrian Bolton, Bethanie Brownfield, Gavin Buttimore, Max Cant, Sarah Chakera, Stephanie C. Y. Chan, Jeff Clune, Adrian Collister, Vikki Copeman, Alex Cullum, Ishita Dasgupta, Dario de Cesare, Julia Di Trapani, Yani Donchev, Emma Dunleavy, Martin Engelcke, Ryan Faulkner, Frankie Garcia, Charles Gbadamosi, Zhitao Gong, Lucy Gonzales, Karol Gregor, …

Scaling Instructable Agents Across Many Simulated Worlds
Building embodied AI systems that can follow arbitrary language instructions in any 3D environment is a key challenge for creating general AI. Accomplishing this goal requires learning to ground language in perception and embodied actions, in order to accomplish complex tasks. The Scalable, Instructable, Multiworld Agent (SIMA) project tackles this by training agents to follow free-form instructions across a diverse range of virtual 3D environments, including curated research environments as we…

9/ Gregor Hagedorn. @…
#Hungerstreik
#Hungerstreik2024 #HungernBisIhrEhrlichSeid

Keeping the photon in the dark: Enabling full quantum dot control by chirped pulses and magnetic fields
Florian Kappe, Ren\'e Schwarz, Yusuf Karli, Thomas Bracht, Vollrath M. Axt, Armando Rastelli, Vikas Remesh, Doris E. Reiter, Gregor Weihs
https://arxiv.org/abs/2404.10708

Keeping the photon in the dark: Enabling full quantum dot control by chirped pulses and magnetic fields
Because dark excitons in quantum dots are not directly optically accessible, so far they have not played a significant role in using quantum dots for photon generation. They possess significantly longer lifetimes than their brighter counterparts and hence offer enormous potential for photon storage or manipulation. In this work, we demonstrate an all-optical storage and retrieval of the spin-forbidden dark exciton in a quantum dot from the ground state employing chirped pulses and an in-plane m…

On the coupled Maxwell-Bloch system of equations with non-decaying fields at infinity
Sitai Li, Gino Biondini, Gregor Kovacic
https://arxiv.org/abs/2405.10117

The evolutionary divergence of Mars, Venus and Earth
Keiko Hamano, Cedric Gillmann, Gregor J. Golabek, Diogo Louren\c{c}o, Frances Westall
https://arxiv.org/abs/2404.09420

The evolutionary divergence of Mars, Venus and Earth
Mars, Venus and Earth are expected to have started in a hot molten state. Here, we discuss how these three terrestrial planets diverged in their evolution and what mechanisms could be the cause. We discuss that early-on after magma ocean crystallization the mantle/surface redox state and water inventory may already differ considerably, depending on planetary mass and orbital distance from the Sun. During the subsequent internal evolution, the three planets also diverged in terms of their tecton…

Molecular order induced charge transfer in a C$_{60}$-topological insulator moir\'e heterostructure
Ram Prakash Pandeya, Konstantin P. Shchukin, Yannic Falke, Gregor Mussler, Jalil Abdur Rehman, Nicolae Atodiresei, Alexander V. Fedorov, Boris V. Senkovskiy, Daniel Jansen, Giovanni Di Santo, Luca Petaccia, Alexander Gr\"uneis
https://<…

The pitfalls of next-token prediction
Gregor Bachmann, Vaishnavh Nagarajan
https://arxiv.org/abs/2403.06963 https://arxiv.org/pdf/240…

The pitfalls of next-token prediction
Can a mere next-token predictor faithfully model human intelligence? We crystallize this intuitive concern, which is fragmented in the literature. As a starting point, we argue that the two often-conflated phases of next-token prediction -- autoregressive inference and teacher-forced training -- must be treated distinctly. The popular criticism that errors can compound during autoregressive inference, crucially assumes that teacher-forcing has learned an accurate next-token predictor. This assu…

Characterisation and simulation of stitched CMOS strip sensors
Naomi Davis, Jan-Hendrik Arling, Marta Baselga, Leena Diehl, Jochen Dingfelder, Ingrid-Maria Gregor, Marc Hauser, Fabian H\"ugging, Tomasz Hemperek, Karl Jakobs, Michael Karagounis, Roland Koppenh\"ofer, Kevin Kr\"oninger, Fabian Lex, Ulrich Parzefall, Arturo Rodriguez, Birkan Sari, Niels Sorgenfrei, Simon Spannagel, Dennis Sperlich, Tianyang Wang, Jens Weingarten, Iveta Zatocilova

Prominente Abgänge - 20 Staatsanwälte: Dicke Luft bei Korruptionsjägern #News #Nachrichten

Hier wird gerade der zweite Teil von Gregor gelesen. Eben schamlose Indoktrination gegens Ertrinkenlassen.

I *only* play single player games.
I have no interest in getting my ass kicked by some 14 year old in Iowa.
🤣 https://mastodon.world/@loadingartist/112010515338528712

Gregor (@loadingartist@mastodon.world)
Attached: 1 image

Local-in-time Conservative Binary Dynamics at Fourth Post-Minkowskian Order
Christoph Dlapa, Gregor K\"alin, Zhengwen Liu, Rafael A. Porto
https://arxiv.org/abs/2403.04853

Local-in-time Conservative Binary Dynamics at Fourth Post-Minkowskian Order
Leveraging scattering information to describe binary systems in generic orbits requires identifying local- and nonlocal-in-time tail effects. We report here the derivation of the universal (non-spinning) local-in-time conservative dynamics at fourth Post-Minkowskian order, i.e. ${\cal O}(G^4)$. This is achieved by computing the nonlocal-in-time contribution to the deflection angle, and removing it from the full conservative value in [2112.11296,2210.05541]. Unlike the total result, the integrat…

Hydrodynamic simulations of WD-WD mergers and the origin of RCB stars
Sagiv Shiber, Orsola De Marco, Patrick M. Motl, Bradley Munson, Dominic C. Marcello, Juhan Frank, Patrick Diehl, Geoffrey C. Clayton, Bennett N. Skinner, Hartmut Kaiser, Gregor Daiss, Dirk Pfluger, Jan E. Staff
https://arxiv.org/abs/2404.06864

Hydrodynamic simulations of WD-WD mergers and the origin of RCB stars
We study the properties of double white dwarf (DWD) mergers by performing hydrodynamic simulations using the new and improved adaptive mesh refinement code Octo-Tiger. We follow the orbital evolution of DWD systems of mass ratio q=0.7 for tens of orbits until and after the merger to investigate them as a possible origin for R Coronae Borealis (RCB) type stars. We reproduce previous results, finding that during the merger, the Helium WD donor star is tidally disrupted within 20-80 minutes since …

Der oberste Förderer von tödlichen Drogen möchte seine Anfixer:Innen natürlich vom geplanten Werbeverbot ausnehmen.
#Rutz #Tabaklobby

CANUCS: An Updated Mass and Magnification Model of Abell 370 with JWST
Rachel Gledhill, Victoria Strait, Guillaume Desprez, Gregor Rihtar\v{s}i\v{c}, Maru\v{s}a Brada\v{c}, Gabriel Brammer, Chris J. Willott, Nicholas Martis, Marcin Sawicki, Ga\"el Noirot, Ghassan T. E. Sarrouh, Adam Muzzin
https://arxiv.org/abs/2403.07062…

CANUCS: An Updated Mass and Magnification Model of Abell 370 with JWST
We report an updated mass and magnification model of galaxy cluster Abell 370 using new NIRCam and NIRISS data from the CAnadian NIRISS Unbiased Cluster Survey (CANUCS). Using Lenstool and a combination of archival HST and MUSE data with new JWST data as constraints, we derive an improved gravitational lensing model and extract magnifications of background galaxies with uncertainties. Using our best fit model, we perform a search for new multiply imaged systems via predicted positions. We repor…

....I had good luck with Gregor, for once. #clae_lcb

Generating all invertible matrices by row operations
Petr Gregor, Hung P. Hoang, Arturo Merino, Ond\v{r}ej Mi\v{c}ka
https://arxiv.org/abs/2405.01863 https…

Generating all invertible matrices by row operations
We show that all invertible $n \times n$ matrices over any finite field $\mathbb{F}_q$ can be generated in a Gray code fashion. More specifically, there exists a listing such that (1) each matrix appears exactly once, and (2) two consecutive matrices differ by adding or subtracting one row from a previous or subsequent row, or by multiplying or diving a row by the generator of the multiplicative group of $\mathbb{F}_q$. This even holds if the addition and subtraction of each row is allowed to s…

Multirate Time-Integration based on Dynamic ODE Partitioning through Adaptively Refined Meshes for Compressible Fluid Dynamics
Daniel Doehring, Michael Schlottke-Lakemper, Gregor J. Gassner, Manuel Torrilhon
https://arxiv.org/abs/2403.05144

Multirate Time-Integration based on Dynamic ODE Partitioning through Adaptively Refined Meshes for Compressible Fluid Dynamics
In this paper, we apply the Paired-Explicit Runge-Kutta (P-ERK) schemes by Vermeire et. al. (2019, 2022) to dynamically partitioned systems arising from adaptive mesh refinement. The P-ERK schemes enable multirate time-integration with no changes in the spatial discretization methodology, making them readily implementable in existing codes that employ a method-of-lines approach. We show that speedup compared to a range of state of the art Runge-Kutta methods can be realized, despite additiona…

Generative deep learning-enabled ultra-large field-of-view lens-free imaging
Ronald B. Liu, Zhe Liu, Max G. A. Wolf, Krishna P. Purohit, Gregor Fritz, Yi Feng, Carsten G. Hansen, Pierre O. Bagnaninchi, Xavier Casadevall i Solvas, Yunjie Yang
https://arxiv.org/abs/2403.07786

Generative deep learning-enabled ultra-large field-of-view lens-free imaging
Advancements in high-throughput biomedical applications necessitate real-time, large field-of-view (FOV) imaging capabilities. Conventional lens-free imaging (LFI) systems, while addressing the limitations of physical lenses, have been constrained by dynamic, hard-to-model optical fields, resulting in a limited one-shot FOV of approximately 20 $mm^2$. This restriction has been a major bottleneck in applications like live-cell imaging and automation of microfluidic systems for biomedical researc…

HPX with Spack and Singularity Containers: Evaluating Overheads for HPX/Kokkos using an astrophysics application
Patrick Diehl, Steven R. Brandt, Gregor Dai{\ss}, Hartmut Kaiser
https://arxiv.org/abs/2405.00016

HPX with Spack and Singularity Containers: Evaluating Overheads for HPX/Kokkos using an astrophysics application
Cloud computing for high performance computing resources is an emerging topic. This service is of interest to researchers who care about reproducible computing, for software packages with complex installations, and for companies or researchers who need the compute resources only occasionally or do not want to run and maintain a supercomputer on their own. The connection between HPC and containers is exemplified by the fact that Microsoft Azure's Eagle cloud service machine is number three on th…

On the Computational Complexity of Stackelberg Planning and Meta-Operator Verification: Technical Report
Gregor Behnke, Marcel Steinmetz
https://arxiv.org/abs/2403.17826

On the Computational Complexity of Stackelberg Planning and Meta-Operator Verification: Technical Report
Stackelberg planning is a recently introduced single-turn two-player adversarial planning model, where two players are acting in a joint classical planning task, the objective of the first player being hampering the second player from achieving its goal. This places the Stackelberg planning problem somewhere between classical planning and general combinatorial two-player games. But, where exactly? All investigations of Stackelberg planning so far focused on practical aspects. We close this gap …

Magnetic fields beneath active region coronal loops
Philip Judge, Lucia Kleint, Christoph Kuckein
https://arxiv.org/abs/2405.05391 https://

Magnetic fields beneath active region coronal loops
We examine the hypothesis that multipolar magnetic fields advected by photospheric granules can contribute heating to the active chromosphere and corona. On 28 September 2020 the GRIS and HiFI+ instruments at the GREGOR telescope obtained data of NOAA 12773. We analyze Stokes profiles of spectral lines of Si I and He I, to study magnetic fields from photosphere to the upper chromosphere. Magnetogram and EUV data from the HMI and AIA instruments on the SDO spacecraft are co-aligned and studied i…

Der oberste Förderer von tödlichen Drogen möchte seine Anfixer:Innen natürlich vom geplanten Werbeverbot ausnehmen.
#Rutz #Tabaklobby

Path Tracking using Echoes in an Unknown Environment: the Issue of Symmetries and How to Break Them
Mireille Boutin, Gregor Kemper
https://arxiv.org/abs/2403.00698

Path Tracking using Echoes in an Unknown Environment: the Issue of Symmetries and How to Break Them
This paper deals with the problem of reconstructing the path of a vehicle in an unknown environment consisting of planar structures using sound. Many systems in the literature do this by using a loudspeaker and microphones mounted on a vehicle. Symmetries in the environment lead to solution ambiguities for such systems. We propose to resolve this issue by placing the loudspeaker at a fixed location in the environment rather than on the vehicle. The question of whether this will remove ambiguiti…

Hyperviscosity stabilisation of the RBF-FD solution to natural convection
\v{Z}iga Vaupoti\v{c}, Miha Rot, Gregor Kosec
https://arxiv.org/abs/2404.01919 ht…

Hyperviscosity stabilisation of the RBF-FD solution to natural convection
The numerical stability of fluid flow is an important topic in computational fluid dynamics as fluid flow simulations usually become numerically unstable in the turbulent regime. Many mesh-based methods have already established numerical dissipation procedures that dampen the effects of the unstable advection term. When it comes to meshless methods, the prominent stabilisation scheme is hyperviscosity. It introduces numerical dissipation in the form of a higher-order Laplacian operator. Many pa…

Venus
Cedric Gillmann, Giada N. Arney, Guillaume Avice, M. D. Dyar, Gregor J. Golabek, Anna J. P. Gulcher, Natasha M. Johnson, Maxence Lefevre, Thomas Widemann
https://arxiv.org/abs/2404.07669

Venus
After decades of relative neglect, interest in Venus surges anew in the planetary science community and the public. New missions are planned and selected, and will pave the way to the decade of Venus, as new observations allow us to uncover some of the many mysteries our closest Solar System neighbor still harbors. Building on the legacy of past works, here, we discuss the state of our understanding of Venus, from both observation and modeling. We describe each of the envelopes of the planet, f…

Transcription factor clusters as information transfer agents
Rahul Munshi, Jia Ling, Sergey Ryabichko, Eric F Wieschaus, Thomas Gregor
https://arxiv.org/abs/2403.02943

Transcription factor clusters as information transfer agents
Deciphering how genes interpret information from the concentration of transcription factors (TFs) within the cell nucleus remains a fundamental question in gene regulation. Recent advancements have unveiled the heterogeneous distribution of TF molecules in the nucleus, posing challenges to the precise decoding of concentration signals. To explore this phenomenon, we employ high-resolution single-cell imaging of a fluorescently tagged TF protein, Bicoid, in living fly embryos. We show that accum…

A Graphical Calculus for Stable Curvature Invariants
Gregor Weingart
https://arxiv.org/abs/2404.16355 https://arxiv.org/pdf/2404.1635…

A Graphical Calculus for Stable Curvature Invariants
In this article we develop a graphical calculus for stable invariants of Riemannian manifolds akin to the graphical calculus for Rozansky-Witten invariants for hyperkähler manifolds; based on interpreting trivalent graphs with colored edges as stably invariant polynomials on the space of algebraic curvature tensors. In this graphical calculus we describe explicitly the Pfaffian polynomials central to the Theorem of Chern-Gauß-Bonnet and the normalized moment polynomials calculating the moment…

Challenges in Pre-Training Graph Neural Networks for Context-Based Fake News Detection: An Evaluation of Current Strategies and Resource Limitations
Gregor Donabauer, Udo Kruschwitz
https://arxiv.org/abs/2402.18179

Challenges in Pre-Training Graph Neural Networks for Context-Based Fake News Detection: An Evaluation of Current Strategies and Resource Limitations
Pre-training of neural networks has recently revolutionized the field of Natural Language Processing (NLP) and has before demonstrated its effectiveness in computer vision. At the same time, advances around the detection of fake news were mainly driven by the context-based paradigm, where different types of signals (e.g. from social media) form graph-like structures that hold contextual information apart from the news article to classify. We propose to merge these two developments by applying p…

Numerical analysis of small-strain elasto-plastic deformation using local Radial Basis Function approximation with Picard iteration
Filip Strni\v{s}a, Mitja Jan\v{c}i\v{c}, Gregor Kosec
https://arxiv.org/abs/2405.04970

Numerical analysis of small-strain elasto-plastic deformation using local Radial Basis Function approximation with Picard iteration
This paper deals with a numerical analysis of plastic deformation under various conditions, utilizing Radial Basis Function (RBF) approximation. The focus is on the elasto-plastic von Mises problem under plane-strain assumption. Elastic deformation is modelled using the Navier-Cauchy equation. In regions where the von Mises stress surpasses the yield stress, corrections are applied locally through a return mapping algorithm. The non-linear deformation problem in the plastic domain is solved usi…

Invariant Theory: a Third Lease of Life
Gregor Kemper
https://arxiv.org/abs/2403.12709 https://arxiv.org/pdf/2403.12709

Invariant Theory: a Third Lease of Life
In 1993, just about a century after the epoch of Classical Invariant Theory and almost 30 years after Mumford's seminal book on Geometric Invariant Theory, Bernd Sturmfels approached the subject from a new, algorithmic perspective in his book on Algorithms in Invariant Theory. This article aims to highlight some of the developments that followed the book. Inspired by Bernd's style of teaching mathematics, the goal is neither comprehensiveness nor maximal generality, but to emphasize the main id…

Magnetic field expulsion in optically driven YBa$_2$Cu$_3$O$_{6.48}$
Sebastian Fava, Giovanni De Vecchi, Gregor Jotzu, Michele Buzzi, Thomas Gebert, Yiran Liu, Bernhard Keimer, Andrea Cavalleri
https://arxiv.org/abs/2405.00848

Magnetic field expulsion in optically driven YBa$_2$Cu$_3$O$_{6.48}$
Coherent optical driving in quantum solids is emerging as a new research frontier, with many demonstrations of exotic non-equilibrium quantum phases. These are based on engineered band structures, and on stimulated nonlinear interactions between driven modes. Enhanced functionalities like ferroelectricity, magnetism and superconductivity have been reported in these non-equilibrium settings. In high-Tc cuprates, coherent driving of certain phonon modes induces a transient state with superconduct…

Radical-Cylon: A Heterogeneous Data Pipeline for Scientific Computing
Arup Kumar Sarker, Aymen Alsaadi, Niranda Perera, Mills Staylor, Gregor von Laszewski, Matteo Turilli, Ozgur Ozan Kilic, Mikhail Titov, Andre Merzky, Shantenu Jha, Geoffrey Fox
https://arxiv.org/abs/2403.15721

Radical-Cylon: A Heterogeneous Data Pipeline for Scientific Computing
Managing and preparing complex data for deep learning, a prevalent approach in large-scale data science can be challenging. Data transfer for model training also presents difficulties, impacting scientific fields like genomics, climate modeling, and astronomy. A large-scale solution like Google Pathways with a distributed execution environment for deep learning models exists but is proprietary. Integrating existing open-source, scalable runtime tools and data frameworks on high-performance comp…

Why Name Popularity is a Good Test of Historicity
Luuk van de Weghe, Jason Wilson
https://arxiv.org/abs/2403.14883 https://arxiv.org/…

Why Name Popularity is a Good Test of Historicity
Are name statistics in the Gospels and Acts a good test of historicity? Kamil Gregor and Brian Blais, in a recent article in The Journal for the Study of the Historical Jesus, argue that the sample of name occurrences in the Gospels and Acts is too small to be determinative and that several statistical anomalies weigh against a positive verdict. Unfortunately, their conclusions result directly from improper testing and questionable data selection. Chi-squared goodness-of-fit testing establishes…

Some observations regarding the RBF-FD approximation accuracy dependence on stencil size
Andrej Kolar-Po\v{z}un, Mitja Jan\v{c}i\v{c}, Miha Rot, Gregor Kosec
https://arxiv.org/abs/2404.03793

Some observations regarding the RBF-FD approximation accuracy dependence on stencil size
When solving partial differential equations on scattered nodes using the Radial Basis Function-generated Finite Difference (RBF-FD) method, one of the parameters that must be chosen is the stencil size. Focusing on Polyharmonic Spline RBFs with monomial augmentation, we observe that it affects the approximation accuracy in a particularly interesting way - the solution error oscillates under increasing stencil size. We find that we can connect this behaviour with the spatial dependence of the si…

Bi-monotone maps on the set of all variance-covariance matrices with respect to minus partial order
Gregor Dolinar, Dijana Ili\v{s}evi\'c, Bojan Kuzma, Janko Marovt
https://arxiv.org/abs/2402.13083

Bi-monotone maps on the set of all variance-covariance matrices with respect to minus partial order
Let $H_{n}^{+}(\mathbb{R})$ be the cone of all positive semidefinite $n\times n$ real matrices. We describe the form of all surjective maps on $H_{n}^{+}(\mathbb{R}) $, $n\geq 3$, that preserve the minus partial order in both directions.

Radical-Cylon: A Heterogeneous Data Pipeline for Scientific Computing
Arup Kumar Sarker, Aymen Alsaadi, Niranda Perera, Mills Staylor, Gregor von Laszewski, Matteo Turilli, Ozgur Ozan Kilic, Mikhail Titov, Andre Merzky, Shantenu Jha, Geoffrey Fox
https://arxiv.org/abs/2403.15721

Radical-Cylon: A Heterogeneous Data Pipeline for Scientific Computing
Managing and preparing complex data for deep learning, a prevalent approach in large-scale data science can be challenging. Data transfer for model training also presents difficulties, impacting scientific fields like genomics, climate modeling, and astronomy. A large-scale solution like Google Pathways with a distributed execution environment for deep learning models exists but is proprietary. Integrating existing open-source, scalable runtime tools and data frameworks on high-performance comp…

On h-refined meshless solution to Navier-Stokes problem in porous media: comparing meshless Lattice Boltzman Method with ACM RBF-FD approach
Dawid Strzelczyk, Miha Rot, Gregor Kosec, Maciej Matyka
https://arxiv.org/abs/2404.14195

On h-refined meshless solution to Navier-Stokes problem in porous media: comparing meshless Lattice Boltzman Method with ACM RBF-FD approach
In this paper, two mesh-free CFD solvers for pore-scale fluid flow through porous media are considered, namely the Lattice Boltzmann Method with the two relaxation time collision term and the direct Navier-Stokes solver under the artificial compressibility limit. The porous media is built with a regular arrangement of spherical grains with variable radii, which allows control of the porosity. Both solvers use the same h-refined meshless spatial discretization to adequately capture the underlyin…

Magnetic field expulsion in optically driven YBa$_2$Cu$_3$O$_{6.48}$
Sebastian Fava, Giovanni De Vecchi, Gregor Jotzu, Michele Buzzi, Thomas Gebert, Yiran Liu, Bernhard Keimer, Andrea Cavalleri
https://arxiv.org/abs/2405.00848

Magnetic field expulsion in optically driven YBa$_2$Cu$_3$O$_{6.48}$
Coherent optical driving in quantum solids is emerging as a new research frontier, with many demonstrations of exotic non-equilibrium quantum phases. These are based on engineered band structures, and on stimulated nonlinear interactions between driven modes. Enhanced functionalities like ferroelectricity, magnetism and superconductivity have been reported in these non-equilibrium settings. In high-Tc cuprates, coherent driving of certain phonon modes induces a transient state with superconduct…

🔊 #NowPlaying on BBCRadio3's #NightTracks
Danny Mulhern, Danny Mulhern, Galya Bisengalieva, Sophie Lockett, Robert Ames & Gregor Riddell:
🎵 Perpetual Motion
#DannyMulhern #GalyaBisengalieva #SophieLockett #RobertAmes #GregorRiddell

Simulations and Performance Studies of a MAPS in 65 nm CMOS Imaging Technology
Adriana Simancas, Justus Braach, Eric Buschmann, Ankur Chauhan, Dominik Dannheim, Manuel Del Rio Viera, Katharina Dort, Doris Eckstein, Finn Feindt, Ingrid-Maria Gregor, Karsten Hansen, Lennart Huth, Larissa Mendes, Budi Mulyanto, Daniil Rastorguev, Christian Reckleben, Sara Ruiz Daza, Judith Schlaadt, Paul Sch\"utze, Walter Snoeys, Simon Spannagel, Marcel Stanitzki, Anastasiia Velyka, Gianpiero Vignola…

Simulations and Performance Studies of a MAPS in 65 nm CMOS Imaging Technology
Monolithic active pixel sensors (MAPS) produced in a 65 nm CMOS imaging technology are being investigated for applications in particle physics. The MAPS design has a small collection electrode characterized by an input capacitance of ~fF, granting a high signal-to-noise ratio and low power consumption. Additionally, the 65 nm CMOS imaging technology brings a reduction in material budget and improved logic density of the readout circuitry, compared to previously studied technologies. Given these…

A superconvergence result in the RBF-FD method
Andrej Kolar-Po\v{z}un, Mitja Jan\v{c}i\v{c}, Gregor Kosec
https://arxiv.org/abs/2404.03393 https://<…

A superconvergence result in the RBF-FD method
Radial Basis Function-generated Finite Differences (RBF-FD) is a meshless method that can be used to numerically solve partial differential equations. The solution procedure consists of two steps. First, the differential operator is discretised on given scattered nodes and afterwards, a global sparse matrix is assembled and inverted to obtain an approximate solution. Focusing on Polyharmonic Splines as our Radial Basis Functions (RBFs) of choice, appropriately augmented with monomials, it is we…

🔊 #NowPlaying on BBCRadio3's #ThroughTheNight
Julius Röntgen, Alexander Kerr, Gregor Horsch & Sepp Grotenhuis:
🎵 Piano Trio in C minor, Op 50 no 4
#JuliusRöntgen #AlexanderKerr #GregorHorsch #SeppGrotenhuis

An Entropy-Stable Discontinuous Galerkin Discretization of the Ideal Multi-Ion Magnetohydrodynamics System
Andr\'es M Rueda-Ram\'irez, Aleksey Sikstel, Gregor J Gassner
https://arxiv.org/abs/2402.14615

An Entropy-Stable Discontinuous Galerkin Discretization of the Ideal Multi-Ion Magnetohydrodynamics System
In this paper, we present an entropy-stable (ES) discretization using a nodal discontinuous Galerkin (DG) method for the ideal multi-ion magneto-hydrodynamics (MHD) equations. We start by performing a continuous entropy analysis of the ideal multi-ion MHD system, described by, e.g., [Toth (2010) Multi-Ion Magnetohydrodynamics] \cite{Toth2010}, which describes the motion of multi-ion plasmas with independent momentum and energy equations for each ion species. Following the continuous entropy a…

Many-Stage Optimal Stabilized Runge-Kutta Methods for Hyperbolic Partial Differential Equations
Daniel Doehring, Gregor J. Gassner, Manuel Torrilhon
https://arxiv.org/abs/2402.12140

Many-Stage Optimal Stabilized Runge-Kutta Methods for Hyperbolic Partial Differential Equations
A novel optimization procedure for the generation of stability polynomials of stabilized explicit Runge-Kutta method is devised. Intended for semidiscretizations of hyperbolic partial differential equations, the herein developed approach allows the optimization of stability polynomials with more than hundred stages. A potential application of these high degree stability polynomials are problems with locally varying characteristic speeds as found in non-uniformly refined meshes and different wav…