Tootfinder

Build & test resilient apps in .NET with Dev Proxy
#dotnet #devproxy
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This https://arxiv.org/abs/2305.07692 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Quantum Simulation of Bound State Scattering
The last few years have seen rapid development of applications of quantum computation to quantum field theory. The first algorithms for quantum simulation of scattering have been proposed in the context of scalar and fermionic theories, requiring thousands of logical qubits. These algorithms are not suitable to simulate scattering of incoming bound states, as the initial-state preparation relies typically on adiabatically transforming wavepackets of the free theory into wavepackets of the inter…

Enhancing Depression-Diagnosis-Oriented Chat with Psychological State Tracking
Yiyang Gu, Yougen Zhou, Qin Chen, Ningning Zhou, Jie Zhou, Aimin Zhou, Liang He
https://arxiv.org/abs/2403.09717

Enhancing Depression-Diagnosis-Oriented Chat with Psychological State Tracking
Depression-diagnosis-oriented chat aims to guide patients in self-expression to collect key symptoms for depression detection. Recent work focuses on combining task-oriented dialogue and chitchat to simulate the interview-based depression diagnosis. Whereas, these methods can not well capture the changing information, feelings, or symptoms of the patient during dialogues. Moreover, no explicit framework has been explored to guide the dialogue, which results in some useless communications that a…

Swarm-Based Trajectory Generation and Optimization for Stress-Aligned 3D Printing
Xavier Guidetti, Efe C. Balta, John Lygeros
https://arxiv.org/abs/2404.10686

Swarm-Based Trajectory Generation and Optimization for Stress-Aligned 3D Printing
In this study, we present a novel swarm-based approach for generating optimized stress-aligned trajectories for 3D printing applications. The method utilizes swarming dynamics to simulate the motion of virtual agents along the stress produced in a loaded part. Agent trajectories are then used as print trajectories. With this approach, the complex global trajectory generation problem is subdivided into a set of sequential and computationally efficient quadratic programs. Through comprehensive ev…

This https://arxiv.org/abs/2307.08246 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Regularization effect of noise on fully discrete approximation for stochastic reaction-diffusion equation near sharp interface limit
To capture and simulate geometric surface evolutions, one effective approach is based on the phase field methods. Among them, it is important to design and analyze numerical approximations whose error bound depends on the inverse of the diffuse interface thickness (denoted by $\frac 1ε$) polynomially. However, it has been a long-standing problem whether such numerical error bound exists for stochastic phase field equations. In this paper, we utilize the regularization effect of noise to show t…

Multiwavelength Modeling for the Shallow Decay Phase of Gamma-Ray Burst Afterglows
Katsuaki Asano
https://arxiv.org/abs/2404.09675 https://

Multiwavelength Modeling for the Shallow Decay Phase of Gamma-Ray Burst Afterglows
We simulate the emission in the shallow decay phase of gamma-ray burst afterglows using a time-dependent code. We test four models: the energy injection model, evolving the injection efficiency of non-thermal electrons, evolving the amplification of the magnetic field, and the wind model with a relatively low bulk Lorentz factor. All of the four models can reproduce the typical X-ray afterglow lightcurve. The spectral shape depends on not only the parameter values at the time corresponding to t…

This https://arxiv.org/abs/2310.13631 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Fluctuating parametric drive of coupled classical oscillators can simulate dissipative qubits
We investigate a system composed of two coupled oscillators subject to stochastic fluctuations in its internal parameters. In particular, we answer the question whether the well-known classical analogy of the quantum dynamics of two-level systems (TLS), i.e. qubits, provided by two coupled oscillators can be extended to simulate the dynamics of dissipative quantum systems. In the context of nanomechanics, the analogy in the dissipation free case has already been tested in multiple experimental …

This https://arxiv.org/abs/2207.14624 has been replaced.
link: https://scholar.google.com/scholar?q=a

Post-processing of coronary and myocardial spatial data
Numerical simulations of real-world phenomenon are implemented with at least two parts: the computational scheme and the computational domain. In the context of hemodynamics, the computational domain of a simulation represents the blood vessel network through which blood flows. Such blood vessel networks can contain millions of individual vessels that are joined together to form a in series and parallel to form the network. It is computationally unfeasible to explicitly simulate blood flow in a…

This https://arxiv.org/abs/2401.01697 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Consideration of non-phase-matched nonlinear effects in the design of quasi-phase-matching crystals for optical parametric oscillators
Femtosecond optical parametric oscillators (OPOs) are widely used in ultrafast nonlinear frequency conversion and quantum information. However, conventional OPOs based on quasi-phase-matching (QPM) crystals have many parasitic non-phase-matched processes which decreases the conversion efficiency. Here, we propose nine-wave coupled equations (NWCEs) to simulate all phase-matched and non-phase-matched interactions in QPM crystals to improve conventional three-wave coupled equations (TWCEs), espec…

Extending the Tavis-Cummings model for molecular ensembles -- Exploring the effects of dipole self energies and static dipole moments
Lucas Borges, Thomas Schnappinger, Markus Kowalewski
https://arxiv.org/abs/2404.10680

Extending the Tavis-Cummings model for molecular ensembles -- Exploring the effects of dipole self energies and static dipole moments
Strong coupling of organic molecules to the vacuum field of a nanoscale cavity can be used to modify their chemical and physical properties. We extend the Tavis-Cummings model for molecular ensembles and show that the often neglected interaction terms arising from the static dipole moment and the dipole self-energy are essential for a correct description of the light-matter interaction in polaritonic chemistry. On the basis of a full quantum description, we simulate the excited-state dynamics a…

An Agent-Based Model of Elephant Crop Raid Dynamics in the Periyar-Agasthyamalai Complex, India
Purathekandy Anjali, Meera Anna Oommen, Martin Wikelski, Deepak N Subramani
https://arxiv.org/abs/2404.09024

An Agent-Based Model of Elephant Crop Raid Dynamics in the Periyar-Agasthyamalai Complex, India
Human-wildlife conflict poses significant challenges to conservation efforts around the world and requires innovative solutions for effective management. We developed an agent-based model to simulate complex interactions between humans and Asian elephants (particularly solitary bull elephants) in the Periyar-Agasthyamalai complex of the Western Ghats in Kerala, India. Incorporating factors such as crop habituation, thermoregulation needs, and aggression models, this framework enables the evalua…

Numerical methods for solving the linearized model of a hinged-free reduced plate arising in flow structure interactions
Raj Narayan Dhara, Krzysztof E. Rutkowski, Katarzyna Szulc
https://arxiv.org/abs/2404.10123

Numerical methods for solving the linearized model of a hinged-free reduced plate arising in flow structure interactions
The problem of partially hinged and partially free rectangular plate that aims to represent a suspension bridge subject to some external forces (for example the wind) is considered in order to model and simulate the unstable end behavior. Such a problem can be modeled by a plate evolution equation, which is nonlinear with a nonlocal stretching effect in the spanwise direction. The external forces are periodic in time and cause the vortex shedding on the structure (on the surface of the plat…

Hot Jupiter Diversity and the Onset of TiO/VO Revealed by a Large Grid of Non-Grey Global Circulation Models
Alexander Roth, Vivien Parmentier, Mark Hammond
https://arxiv.org/abs/2404.09626

Hot Jupiter Diversity and the Onset of TiO/VO Revealed by a Large Grid of Non-Grey Global Circulation Models
The population of hot Jupiters is extremely diverse, with large variations in their irradiation, period, gravity and chemical composition. To understand the intrinsic planet diversity through the observed population level trends, we explore the a-priori scatter in the population created by the different responses of atmospheric circulation to planetary parameters. We use the SPARC/MITgcm 3D global circulation model to simulate 345 planets spanning a wide range of instellation, metallicity, grav…

SNAKE-fMRI: A modular fMRI data simulator from the space-time domain to k-space and back
Pierre-Antoine Comby (MIND, BAOBAB), Alexandre Vignaud (BAOBAB), Philippe Ciuciu (MIND)
https://arxiv.org/abs/2404.08282

SNAKE-fMRI: A modular fMRI data simulator from the space-time domain to k-space and back
We propose a new, modular, open-source, Python-based 3D+time fMRI data simulation software, \emph{SNAKE-fMRI}, which stands for \emph{S}imulator from \emph{N}eurovascular coupling to \emph{A}cquisition of \emph{K}-space data for \emph{E}xploration of fMRI acquisition techniques.Unlike existing tools, the goal here is to simulate the complete chain of fMRI data acquisition, from the spatio-temporal design of evoked brain responses to various multi-coil k-space data 3D sampling strategies, with t…

“As writers we can not allow AI to replace our own thinking. We should use it to simulate the thinking of a missing dialogue partner. To write better, we need to think more, not less.”
Just re-read this piece by @… – highly recommended:
#Writing with

Writing with AI
When ChatGPT came out one year ago, we wanted to know whether and how it could be used for writing. We put it to the test.

Dynamical Friction and Black Holes in Ultralight Dark Matter Solitons
Russell Boey, Yourong Wang, Emily Kendall, Richard Easther
https://arxiv.org/abs/2403.09038

Dynamical Friction and Black Holes in Ultralight Dark Matter Solitons
We numerically simulate the motion of a black hole as it plunges radially through an ultralight dark matter soliton. We investigate the timescale in which dynamical friction reduces the kinetic energy of the black hole to a minimum, and consider the sensitivity of this timescale to changes in the ULDM particle mass, the total soliton mass, and the mass of the black hole. We contrast our numerical results with a semi-analytic treatment of dynamical friction, and find that the latter is poorly su…

Transforming Competition into Collaboration: The Revolutionary Role of Multi-Agent Systems and Language Models in Modern Organizations
Carlos Jose Xavier Cruz
https://arxiv.org/abs/2403.07769

Transforming Competition into Collaboration: The Revolutionary Role of Multi-Agent Systems and Language Models in Modern Organizations
This article explores the dynamic influence of computational entities based on multi-agent systems theory (SMA) combined with large language models (LLM), which are characterized by their ability to simulate complex human interactions, as a possibility to revolutionize human user interaction from the use of specialized artificial agents to support everything from operational organizational processes to strategic decision making based on applied knowledge and human orchestration. Previous invest…

Online Adaptation of Sampling-Based Motion Planning with Inaccurate Models
Marco Faroni, Dmitry Berenson
https://arxiv.org/abs/2403.07638 https://

Online Adaptation of Sampling-Based Motion Planning with Inaccurate Models
Robotic manipulation relies on analytical or learned models to simulate the system dynamics. These models are often inaccurate and based on offline information, so that the robot planner is unable to cope with mismatches between the expected and the actual behavior of the system (e.g., the presence of an unexpected obstacle). In these situations, the robot should use information gathered online to correct its planning strategy and adapt to the actual system response. We propose a sampling-based…

Memoryless concretization relation
Julien Calbert, S\'ebastien Mattenet, Antoine Girard, Rapha\"el M. Jungers
https://arxiv.org/abs/2403.09556 htt…

Memoryless concretization relation
We introduce the concept of memoryless concretization relation (MCR) to describe abstraction within the context of controller synthesis. This relation is a specific instance of alternating simulation relation (ASR), where it is possible to simplify the controller architecture. In the case of ASR, the concretized controller needs to simulate the concurrent evolution of two systems, the original and abstract systems, while for MCR, the designed controllers only need knowledge of the current concr…

I've spent some of today finding bottlenecks in my world-simulating cellular automaton, and I can now simulate 10,000 years of history from the middle of the Ice Age to the middle of the Iron Age over 40,000 square kilometres (at kilometre scale) in slightly under two minutes of wall-clock time. It's utterly caning my poor computer, but it doesn't crash.
#Clojure

Understanding the Humidity Sensitivity of Sensors with TCAD Simulations
Ilona-Stefana Ninca, Ingo Bloch, Ben Bruers, Vitaliy Fadeyev, Xavi Fernandez-Tejero, Callan Jessiman, John Stakely Keller, Christoph Thomas Klein, Thomas Koffas, Heiko Markus Lacker, Peilin Li, Christian Scharf, Ezekiel Staats, Miguel Ullan, Yoshinobu Unno
https://

Understanding the Humidity Sensitivity of Sensors with TCAD Simulations
The breakdown voltage of silicon sensors without special surface is known to be affected by the ambient humidity. To understand the sensor's humidity sensitivity, Synopsys TCAD was used to simulate n-in-p test structures for different effective relative humidity. Photon emission of hot electrons was imaged with a microscope to locate breakdown in the edge-region of the sensor. The Top-Transient Current Technique was used to measure charge transport near the surface in the breakdown region of th…

To better understand how neural networks learn to simulate writing, researchers trained simpler versions on synthetic children’s stories.
The post "Tiny Language Models Come of Age" first appeared on Quanta Magazine
https://d2r55xnwy6nx47.cloudfront.net/

Noise-aware neural network for stochastic dynamics simulation
Pei-Fang Wu, Wei-Chen Guo, Liang He
https://arxiv.org/abs/2403.09370 https://

Noise-aware neural network for stochastic dynamics simulation
In the presence of system-environment coupling, classical complex systems undergo stochastic dynamics, where rich phenomena can emerge at large spatio-temporal scales. To investigate these phenomena, numerical approaches for simulating stochastic dynamics are indispensable and can be computationally expensive. In light of the recent fast development in machine learning techniques, here, we establish a generic machine learning approach to simulate the stochastic dynamics, dubbed the noise-aware …

Numerical methods for solving the linearized model of a hinged-free reduced plate arising in flow structure interactions
Raj Narayan Dhara, Krzysztof E. Rutkowski, Katarzyna Szulc
https://arxiv.org/abs/2404.10123

Numerical methods for solving the linearized model of a hinged-free reduced plate arising in flow structure interactions
The problem of partially hinged and partially free rectangular plate that aims to represent a suspension bridge subject to some external forces (for example the wind) is considered in order to model and simulate the unstable end behavior. Such a problem can be modeled by a plate evolution equation, which is nonlinear with a nonlocal stretching effect in the spanwise direction. The external forces are periodic in time and cause the vortex shedding on the structure (on the surface of the plat…

This https://arxiv.org/abs/2310.13288 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Simulation of high-speed impact of surfactant-laden drops
We develop a computational model to simulate the immediate post-impact spreading behaviour of surfactant-laden drops that impact a flat and solid surface. The model is built on the InterFoam solver (OpenFOAM software), which uses the volume-of-fluid method to solve the Navier-Stokes equations. In order to incorporate surfactant in the bulk and on the interface, we make numerous modifications and extensions, such as coupling the volume-of-fluid method with a level-set method. Simulations demonst…

This https://arxiv.org/abs/2401.15211 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_grqc_…

Charged Black Holes with Yukawa Potential
This study derives a novel family of charged black hole solutions featuring short- and long-range modifications. These ones are achieved through a Yukawa-like gravitational potential modification and a nonsingular electric potential incorporation. The short-range corrections encode quantum gravity effects, while the long-range adjustments simulate gravitational effects akin to those attributed to dark matter. Our investigation reveals that the total mass of the black hole undergoes corrections …

Orbital Angular Momentum Beam assisted High-Order Harmonic Generation in Semiconductor Materials
C. Granados, B. Kumar Das, M. F. Ciappina
https://arxiv.org/abs/2404.10293

Orbital Angular Momentum Beam assisted High-Order Harmonic Generation in Semiconductor Materials
We investigate the use of light beams carrying orbital angular momentum (OAM) in the context of high harmonic generation (HHG) within semiconductor crystals. Our contribution deals with the transfer and conservation of OAM in the strong-field regime, from the driving laser field to the generated harmonics. To this end, in this work, we combine the semiconductor Bloch equations with the thin slab model to simulate the generation of high-order harmonics in semiconductor media and to compute the f…

Fire Spread Modeling using Probabilistic Cellular Automata
Rohit Ghosh, Jishnu Adhikary, Rezki Chemlal
https://arxiv.org/abs/2403.08817 https://

Fire Spread Modeling using Probabilistic Cellular Automata
A cellular automaton (CA)-based modeling approach to simulate wildfire spread, emphasizing its strengths in capturing complex fire dynamics and its integration with geographic information systems (GIS). The model introduces an enhanced CA-based methodology for wildfire prediction, emphasizing interactions between neighboring cells and incorporating major determinants of fire spread, including wind direction, wind speed, and vegetation density, while also accounting for spotting and probabilis…

Efficient Self-stabilizing Simulations of Energy-Restricted Mobile Robots by Asynchronous Luminous Mobile Robots
Keita Nakajima, Kaito Takase, Koichi Wada
https://arxiv.org/abs/2403.05542

Efficient Self-stabilizing Simulations of Energy-Restricted Mobile Robots by Asynchronous Luminous Mobile Robots
In this study, we explore efficient simulation implementations to demonstrate computational equivalence across various models of autonomous mobile robot swarms. Our focus is on Rsynch, a scheduler designed for energy-restricted robots, which falls between Fsynch and Ssynch. We propose efficient protocols for simulating n(>=2) luminous (LUMI) robots operating in Rsynch using LUMI robots in Ssynch or Asynch. Our contributions are twofold: (1) We introduce protocols that simulate LUMI robots in Rs…

pfl-research: simulation framework for accelerating research in Private Federated Learning
Filip Granqvist, Congzheng Song, \'Aine Cahill, Rogier van Dalen, Martin Pelikan, Yi Sheng Chan, Xiaojun Feng, Natarajan Krishnaswami, Vojta Jina, Mona Chitnis
https://arxiv.org/abs/2404.06430 …

pfl-research: simulation framework for accelerating research in Private Federated Learning
Federated learning (FL) is an emerging machine learning (ML) training paradigm where clients own their data and collaborate to train a global model, without revealing any data to the server and other participants. Researchers commonly perform experiments in a simulation environment to quickly iterate on ideas. However, existing open-source tools do not offer the efficiency required to simulate FL on larger and more realistic FL datasets. We introduce pfl-research, a fast, modular, and easy-to-u…

This https://arxiv.org/abs/2309.07055 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

Unraveling the Geography of Infection Spread: Harnessing Super-Agents for Predictive Modeling
Our study presents an intermediate-level modeling approach that bridges the gap between complex Agent-Based Models (ABMs) and traditional compartmental models for infectious diseases. We introduce "super-agents" to simulate infection spread in cities, reducing computational complexity while retaining individual-level interactions. This approach leverages real-world mobility data and strategic geospatial tessellations for efficiency. Voronoi Diagram tessellations, based on specific street networ…

The Asteroseismic Imprints of Mass Transfer: A Case Study of a Binary Mass Gainer in the SPB Instability Strip
Tom Wagg, Cole Johnston, Earl P. Bellinger, Mathieu Renzo, Richard Townsend, Selma E. de Mink
https://arxiv.org/abs/2403.05627

The Asteroseismic Imprints of Mass Transfer: A Case Study of a Binary Mass Gainer in the SPB Instability Strip
We present new simulations investigating the impact of mass transfer on the asteroseismic signals of slowly pulsating B stars. We use MESA to simulate the evolution of a binary star system and GYRE to compute the asteroseismic properties of the accretor star. We show that, compared to a single star of the same final mass, a star that has undergone accretion (of non-enriched material) has a significantly different internal structure, evident in both the hydrogen abundance profile and Brunt-Väis…

Predicting the temporal dynamics of prosthetic vision https://arxiv.org/abs/2404.14591 "predict phosphene fading and persistence under varying stimulus conditions", checked against Argus II retinal implant user data.

Predicting the Temporal Dynamics of Prosthetic Vision
Retinal implants are a promising treatment option for degenerative retinal disease. While numerous models have been developed to simulate the appearance of elicited visual percepts ("phosphenes"), these models often either focus solely on spatial characteristics or inadequately capture the complex temporal dynamics observed in clinical trials, which vary heavily across implant technologies, subjects, and stimulus conditions. Here we introduce two computational models designed to accurately pred…

From Pixel to Cancer: Cellular Automata in Computed Tomography
Yuxiang Lai, Xiaoxi Chen, Angtian Wang, Alan Yuille, Zongwei Zhou
https://arxiv.org/abs/2403.06459

From Pixel to Cancer: Cellular Automata in Computed Tomography
AI for cancer detection encounters the bottleneck of data scarcity, annotation difficulty, and low prevalence of early tumors. Tumor synthesis seeks to create artificial tumors in medical images, which can greatly diversify the data and annotations for AI training. However, current tumor synthesis approaches are not applicable across different organs due to their need for specific expertise and design. This paper establishes a set of generic rules to simulate tumor development. Each cell (pixel…

SNAKE-fMRI: A modular fMRI data simulator from the space-time domain to k-space and back
Pierre-Antoine Comby (MIND, BAOBAB), Alexandre Vignaud (BAOBAB), Philippe Ciuciu (MIND)
https://arxiv.org/abs/2404.08282

SNAKE-fMRI: A modular fMRI data simulator from the space-time domain to k-space and back
We propose a new, modular, open-source, Python-based 3D+time fMRI data simulation software, \emph{SNAKE-fMRI}, which stands for \emph{S}imulator from \emph{N}eurovascular coupling to \emph{A}cquisition of \emph{K}-space data for \emph{E}xploration of fMRI acquisition techniques.Unlike existing tools, the goal here is to simulate the complete chain of fMRI data acquisition, from the spatio-temporal design of evoked brain responses to various multi-coil k-space data 3D sampling strategies, with t…

This https://arxiv.org/abs/2307.16725 has been replaced.
initial toot: https://mastoxiv.page/@a…

Beyond-adiabatic Quantum Admittance of a Semiconductor Quantum Dot at High Frequencies: Rethinking Reflectometry as Polaron Dynamics
Semiconductor quantum dots operated dynamically are the basis of many quantum technologies such as quantum sensors and computers. Hence, modelling their electrical properties at microwave frequencies becomes essential to simulate their performance in larger electronic circuits. Here, we develop a self-consistent quantum master equation formalism to obtain the admittance of a quantum dot tunnel-coupled to a charge reservoir under the effect of a coherent photon bath. We find a general expression…

Transforming Competition into Collaboration: The Revolutionary Role of Multi-Agent Systems and Language Models in Modern Organizations
Carlos Jose Xavier Cruz
https://arxiv.org/abs/2403.07769

Transforming Competition into Collaboration: The Revolutionary Role of Multi-Agent Systems and Language Models in Modern Organizations
This article explores the dynamic influence of computational entities based on multi-agent systems theory (SMA) combined with large language models (LLM), which are characterized by their ability to simulate complex human interactions, as a possibility to revolutionize human user interaction from the use of specialized artificial agents to support everything from operational organizational processes to strategic decision making based on applied knowledge and human orchestration. Previous invest…

General Multipoles and Their Implications for Dark Matter Inference
Jacob S. Cohen, Christopher D. Fassnacht, Conor M. O'Riordan, Simona Vegetti
https://arxiv.org/abs/2403.08895

General Multipoles and Their Implications for Dark Matter Inference
The flux ratios of strongly lensed quasars have previously been used to infer the properties of dark matter. In these analyses it is crucial to separate the effect of the main lensing galaxy and the low-mass dark matter halo population. In this work, we investigate flux-ratio perturbations resulting from general third- and fourth-order multipole perturbations to the main lensing galaxy's mass profile. We simulate four lens systems, each with a different lensing configuration, without multipoles…

This article by a former OpenAI employee makes a powerful case that AI exploits the same clever game design that can make Furbies, dinosaurs, and even triangles seem sentient. It's not about modeling a brain's complexity; simpler systems can ironically feel more intelligent.
https://www.

This https://arxiv.org/abs/2312.04568 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_nuc…

Multimodality of $^{187}$Ir fission studied by Langevin approach
[Background] The fission mechanism of sub-lead nuclides remains unclear, especially the types of fission modes involved and their corresponding shell effects. [Purpose] The aim is to identify the different modes in the fission of $^{187}$Ir, and investigate the corresponding mechanism. [Method] The three-dimensional Langevin approach considering nucleus elongation, deformation, and mass asymmetry is applied to simulate fission dynamics. The macro-microscopic models are used to calculate the tra…

Multi-Agent eXperimenter (MAX)
\"Onder G\"urcan
https://arxiv.org/abs/2404.08398 https://arxiv.org/pdf/2404.08398

Multi-Agent eXperimenter (MAX)
We present a novel multi-agent simulator named Multi-Agent eXperimenter (MAX) that is designed to simulate blockchain experiments involving large numbers of agents of different types acting in one or several environments. The architecture of MAX is highly modular, enabling easy addition of new models.

The long-term evolution of the GW170817 remnant
Menquan Liu, Jie Zhang, Cong Wang
https://arxiv.org/abs/2403.08223 https://arxiv.org/…

The long-term evolution of the GW170817 remnant
GW170817 represents the first observed binary neutron star merger event by humanity. The observation of GW170817 has identified the correlation between Kilonova, gravitational wave and short GRB. The shocks from GW170817 have the capacity to inject significant thermal and kinetic energies into the interstellar medium and evolve for over a million years. In this letter, we adopt the special relativity fluid dynamics equations to simulate the evolution of the GW170817 remnant over a span of one m…

Dynamic Quality-Diversity Search
Roberto Gallotta, Antonios Liapis, Georgios N. Yannakakis
https://arxiv.org/abs/2404.05769 https://a…

Dynamic Quality-Diversity Search
Evolutionary search via the quality-diversity (QD) paradigm can discover highly performing solutions in different behavioural niches, showing considerable potential in complex real-world scenarios such as evolutionary robotics. Yet most QD methods only tackle static tasks that are fixed over time, which is rarely the case in the real world. Unlike noisy environments, where the fitness of an individual changes slightly at every evaluation, dynamic environments simulate tasks where external facto…

This https://arxiv.org/abs/2311.17175 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepp…

Kicking it Off(-shell) with Direct Diffusion
Off-shell effects in large LHC backgrounds are crucial for precision predictions and, at the same time, challenging to simulate. We show how a generative diffusion network learns off-shell kinematics given the much simpler on-shell process. It generates off-shell configurations fast and precisely, while reproducing even challenging on-shell features.

A Bird-Eye view on DNA Storage Simulators
Sanket Doshi, Mihir Gohel, Manish K. Gupta
https://arxiv.org/abs/2404.04877 https://arxiv.o…

A Bird-Eye view on DNA Storage Simulators
In the current world due to the huge demand for storage, DNA-based storage solution sounds quite promising because of their longevity, low power consumption, and high capacity. However in real life storing data in the form of DNA is quite expensive, and challenging. Therefore researchers and developers develop such kind of software that helps simulate real-life DNA storage without worrying about the cost. This paper aims to review some of the software that performs DNA storage simulations in di…

Markov State Model Approach to Simulate Self-Assembly
Anthony Trubiano, Michael F. Hagan
https://arxiv.org/abs/2405.02467 https://arx…

Markov State Model Approach to Simulate Self-Assembly
Computational modeling of assembly is challenging for many systems because their timescales vastly exceed those accessible to simulations. This article describes the MultiMSM, which is a general framework that uses Markov state models (MSMs) to enable simulating self-assembly and self-organization on timescales that are orders of magnitude longer than those accessible to brute force dynamics simulations. In contrast to previous MSM approaches to simulating assembly, the framework describes simu…

This https://arxiv.org/abs/2310.13288 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Simulation of high-speed impact of surfactant-laden drops
We develop a computational model to simulate the immediate post-impact spreading behaviour of surfactant-laden drops that impact a flat and solid surface. The model is built on the InterFoam solver (OpenFOAM software), which uses the volume-of-fluid method to solve the Navier-Stokes equations. In order to incorporate surfactant in the bulk and on the interface, we make numerous modifications and extensions, such as coupling the volume-of-fluid method with a level-set method. Simulations demonst…

This https://arxiv.org/abs/2402.19350 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

Prompting Explicit and Implicit Knowledge for Multi-hop Question Answering Based on Human Reading Process
Pre-trained language models (PLMs) leverage chains-of-thought (CoT) to simulate human reasoning and inference processes, achieving proficient performance in multi-hop QA. However, a gap persists between PLMs' reasoning abilities and those of humans when tackling complex problems. Psychological studies suggest a vital connection between explicit information in passages and human prior knowledge during reading. Nevertheless, current research has given insufficient attention to linking input passa…

Simulating Electron Transfer in a Molecular Triad within an Optical Cavity Using NISQ Computers
Ningyi Lyu, Pouya Khazaei, Eitan Geva, Victor S. Batista
https://arxiv.org/abs/2404.09852

Simulating Electron Transfer in a Molecular Triad within an Optical Cavity Using NISQ Computers
We present a quantum algorithm based on the Tensor-Train Thermo-Field Dynamics (TT-TFD) method to simulate the open quantum system dynamics of intramolecular charge transfer modulated by an optical cavity on noisy intermediate-scale quantum (NISQ) computers. We apply our methodology to a model that describes the $ππ^*$ to CT1 intermolecular charge transfer within the carotenoid-porphyrin-C60 molecular triad solvated in tetrahydrofuran (THF) and placed inside an optical cavity. We find how the…

This https://arxiv.org/abs/2402.18146 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

3DSFLabelling: Boosting 3D Scene Flow Estimation by Pseudo Auto-labelling
Learning 3D scene flow from LiDAR point clouds presents significant difficulties, including poor generalization from synthetic datasets to real scenes, scarcity of real-world 3D labels, and poor performance on real sparse LiDAR point clouds. We present a novel approach from the perspective of auto-labelling, aiming to generate a large number of 3D scene flow pseudo labels for real-world LiDAR point clouds. Specifically, we employ the assumption of rigid body motion to simulate potential object-…

Speech Robust Bench: A Robustness Benchmark For Speech Recognition
Muhammad A. Shah, David Solans Noguero, Mikko A. Heikkila, Nicolas Kourtellis
https://arxiv.org/abs/2403.07937 <…

Speech Robust Bench: A Robustness Benchmark For Speech Recognition
As Automatic Speech Recognition (ASR) models become ever more pervasive, it is important to ensure that they make reliable predictions under corruptions present in the physical and digital world. We propose Speech Robust Bench (SRB), a comprehensive benchmark for evaluating the robustness of ASR models to diverse corruptions. SRB is composed of 69 input perturbations which are intended to simulate various corruptions that ASR models may encounter in the physical and digital world. We use SRB to…

This https://arxiv.org/abs/2404.12178 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Designing a sector-coupled European energy system robust to 60 years of historical weather data
As energy systems transform to rely on renewable energy and electrification, they encounter stronger year-to-year variability in energy supply and demand. However, most infrastructure planning is based on a single weather year, resulting in a lack of robustness. In this paper, we optimize energy infrastructure for a European energy system designed for net-zero CO$_2$ emissions in 62 different weather years. Subsequently, we fix the capacity layouts and simulate their operation in every weather …

This https://arxiv.org/abs/2306.08143 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

On Stellar Migration from Andromeda to the Milky Way
Recent Gaia observations suggest that some hypervelocity stars (HVSs) might originate from outside the Galaxy. We ask if these HVSs could come from as far as Andromeda. Therefore, we simulate HVSs originating in Andromeda with initial conditions based on attributes of high-velocity stars measured in the Milky Way and a simple model for the gravitational potential of Andromeda and the Milky Way. We evaluate the validity of this scenario based on the simulation results. While we expect the vast m…

This https://arxiv.org/abs/2107.11376 has been replaced.
link: https://scholar.google.com/scholar?q=a

Effects of the growth kinetics on solute diffusion in porous films
For the development of porous materials with improved transport properties, a key missing ingredient is to determine the relations between growth kinetics, structure, and transport parameters. Here, we address these relations by studying solute diffusion through three-dimensional porous films produced by simple deposition models with controlled thickness and porosity. We simulate growing films with competitive aggregation rules that incorporate lateral aggregation (relative rate proportional to…

The Asteroseismic Imprints of Mass Transfer: A Case Study of a Binary Mass Gainer in the SPB Instability Strip
Tom Wagg, Cole Johnston, Earl P. Bellinger, Mathieu Renzo, Richard Townsend, Selma E. de Mink
https://arxiv.org/abs/2403.05627

The Asteroseismic Imprints of Mass Transfer: A Case Study of a Binary Mass Gainer in the SPB Instability Strip
We present new simulations investigating the impact of mass transfer on the asteroseismic signals of slowly pulsating B stars. We use MESA to simulate the evolution of a binary star system and GYRE to compute the asteroseismic properties of the accretor star. We show that, compared to a single star of the same final mass, a star that has undergone accretion (of non-enriched material) has a significantly different internal structure, evident in both the hydrogen abundance profile and Brunt-Väis…

This https://arxiv.org/abs/2404.19217 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

FOTS: A Fast Optical Tactile Simulator for Sim2Real Learning of Tactile-motor Robot Manipulation Skills
Simulation is a widely used tool in robotics to reduce hardware consumption and gather large-scale data. Despite previous efforts to simulate optical tactile sensors, there remain challenges in efficiently synthesizing images and replicating marker motion under different contact loads. In this work, we propose a fast optical tactile simulator, named FOTS, for simulating optical tactile sensors. We utilize multi-layer perceptron mapping and planar shadow generation to simulate the optical respon…

This https://arxiv.org/abs/2403.04653 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Designing variational ansatz for quantum-enabled simulation of non-unitary dynamical evolution- an excursion into Dicke supperradiance
Adaptive Variational Quantum Dynamics (AVQD) algorithms offer a promising approach to providing quantum-enabled solutions for systems treated within the purview of open quantum dynamical evolution. In this study, we employ the unrestricted vectorization variant of AVQD to simulate and benchmark various non-unitarily evolving systems. We exemplify how construction of an expressible ansatz unitary and the associated operator pool can be implemented to analyze examples such as the Fenna Matthews O…

LHAASO-KM2A detector simulation using Geant4
Zhen Cao, F. Aharonian, Q. An, Axikegu, Y. X. Bai, Y. W. Bao, D. Bastieri, X. J. Bi, Y. J. Bi, J. T. Cai, Q. Cao, W. Y. Cao, Zhe Cao, J. Chang, J. F. Chang, A. M. Chen, E. S. Chen, Liang Chen, Lin Chen, Long Chen, M. J. Chen, M. L. Chen, Q. H. Chen, S. H. Chen, S. Z. Chen, T. L. Chen, Y. Chen, N. Cheng, Y. D. Cheng, M. Y. Cui, S. W. Cui, X. H. Cui, Y. D. Cui, B. Z. Dai, H. L. Dai, Z. G. Dai, Danzengluobu, X. Q. Dong, K. K. Duan, J. H. Fan,…

LHAASO-KM2A detector simulation using Geant4
KM2A is one of the main sub-arrays of LHAASO, working on gamma ray astronomy and cosmic ray physics at energies above 10 TeV. Detector simulation is the important foundation for estimating detector performance and data analysis. It is a big challenge to simulate the KM2A detector in the framework of Geant4 due to the need to track numerous photons from a large number of detector units (>6000) with large altitude difference (30 m) and huge coverage (1.3 km^2). In this paper, the design of the KM…

Predicting the temporal dynamics of prosthetic vision https://arxiv.org/abs/2404.14591 "predict phosphene fading and persistence under varying stimulus conditions", checked against Argus II retinal implant user data.

Predicting the Temporal Dynamics of Prosthetic Vision
Retinal implants are a promising treatment option for degenerative retinal disease. While numerous models have been developed to simulate the appearance of elicited visual percepts ("phosphenes"), these models often either focus solely on spatial characteristics or inadequately capture the complex temporal dynamics observed in clinical trials, which vary heavily across implant technologies, subjects, and stimulus conditions. Here we introduce two computational models designed to accurately pred…

Direction of slip modulates the perception of slip distance and slip speed
Ayesha Tooba Khan, Deepak Joshi, Biswarup Mukherjee
https://arxiv.org/abs/2403.05316

Direction of slip modulates the perception of slip distance and slip speed
Purpose: The purpose of this study was to investigate the psychophysical understanding of the slip stimulus. We emphasized that the perception of slip and its characteristics, such as slip distance and slip speed depend on the interaction between slip direction, slip distance as well as slip speed. Methods: We developed a novel slip induction device to simulate the artificial sense of slip. We conducted a psychophysical experiment on eight healthy subjects. The experiment was designed to evalua…

From Pixel to Cancer: Cellular Automata in Computed Tomography
Yuxiang Lai, Xiaoxi Chen, Angtian Wang, Alan Yuille, Zongwei Zhou
https://arxiv.org/abs/2403.06459

From Pixel to Cancer: Cellular Automata in Computed Tomography
AI for cancer detection encounters the bottleneck of data scarcity, annotation difficulty, and low prevalence of early tumors. Tumor synthesis seeks to create artificial tumors in medical images, which can greatly diversify the data and annotations for AI training. However, current tumor synthesis approaches are not applicable across different organs due to their need for specific expertise and design. This paper establishes a set of generic rules to simulate tumor development. Each cell (pixel…

Computing Threshold Circuits with Bimolecular Void Reactions in Step Chemical Reaction Networks
Rachel Anderson, Bin Fu, Aiden Massie, Gourab Mukhopadhyay, Adrian Salinas, Robert Schweller, Evan Tomai, Tim Wylie
https://arxiv.org/abs/2405.00940

Computing Threshold Circuits with Bimolecular Void Reactions in Step Chemical Reaction Networks
Step Chemical Reaction Networks (step CRNs) are an augmentation of the Chemical Reaction Network (CRN) model where additional species may be introduced to the system in a sequence of ``steps.'' We study step CRN systems using a weak subset of reaction rules, \emph{void} rules, in which molecular species can only be deleted. We demonstrate that step CRNs with only void rules of size (2,0) can simulate threshold formulas (TFs) under linear resources. These limited systems can also simulate thresh…

The long-term evolution of the GW170817 remnant
Menquan Liu, Jie Zhang, Cong Wang
https://arxiv.org/abs/2403.08223 https://arxiv.org/…

The long-term evolution of the GW170817 remnant
GW170817 represents the first observed binary neutron star merger event by humanity. The observation of GW170817 has identified the correlation between Kilonova, gravitational wave and short GRB. The shocks from GW170817 have the capacity to inject significant thermal and kinetic energies into the interstellar medium and evolve for over a million years. In this letter, we adopt the special relativity fluid dynamics equations to simulate the evolution of the GW170817 remnant over a span of one m…

Phononic bright and dark states: Investigating multi-mode light-matter interactions with a single trapped ion
Harry Parke, Robin Thomm, Alan C. Santos, Andr\'e Cidrim, Gerard Higgins, Marion Mallweger, Natalia Kuk, Shalina Salim, Romain Bachelard, Celso J. Villas-Boas, Markus Hennrich
https://arxiv.org/abs/2403.07154<…

Phononic bright and dark states: Investigating multi-mode light-matter interactions with a single trapped ion
Interference underpins some of the most practical and impactful properties of both the classical and quantum worlds. In this work we experimentally investigate a new formalism to describe interference effects, based on collective states which have enhanced or suppressed coupling to a two-level system. We employ a single trapped ion, whose electronic state is coupled to two of the ion's motional modes in order to simulate a multi-mode light-matter interaction. We observe the emergence of phononi…

This https://arxiv.org/abs/2307.16725 has been replaced.
initial toot: https://mastoxiv.page/@a…

Beyond-adiabatic Quantum Admittance of a Semiconductor Quantum Dot at High Frequencies: Rethinking Reflectometry as Polaron Dynamics
Semiconductor quantum dots operated dynamically are the basis of many quantum technologies such as quantum sensors and computers. Hence, modelling their electrical properties at microwave frequencies becomes essential to simulate their performance in larger electronic circuits. Here, we develop a self-consistent quantum master equation formalism to obtain the admittance of a quantum dot tunnel-coupled to a charge reservoir under the effect of a coherent photon bath. We find a general expression…

This https://arxiv.org/abs/2311.17175 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepp…

Kicking it Off(-shell) with Direct Diffusion
Off-shell effects in large LHC backgrounds are crucial for precision predictions and, at the same time, challenging to simulate. We show how a generative diffusion network learns off-shell kinematics given the much simpler on-shell process. It generates off-shell configurations fast and precisely, while reproducing even challenging on-shell features.

Markov State Model Approach to Simulate Self-Assembly
Anthony Trubiano, Michael F. Hagan
https://arxiv.org/abs/2405.02467 https://arx…

Markov State Model Approach to Simulate Self-Assembly
Computational modeling of assembly is challenging for many systems because their timescales vastly exceed those accessible to simulations. This article describes the MultiMSM, which is a general framework that uses Markov state models (MSMs) to enable simulating self-assembly and self-organization on timescales that are orders of magnitude longer than those accessible to brute force dynamics simulations. In contrast to previous MSM approaches to simulating assembly, the framework describes simu…

A Realistic Surgical Simulator for Non-Rigid and Contact-Rich Manipulation in Surgeries with the da Vinci Research Kit
Yafei Ou, Sadra Zargarzadeh, Paniz Sedighi, Mahdi Tavakoli
https://arxiv.org/abs/2404.05888

A Realistic Surgical Simulator for Non-Rigid and Contact-Rich Manipulation in Surgeries with the da Vinci Research Kit
Realistic real-time surgical simulators play an increasingly important role in surgical robotics research, such as surgical robot learning and automation, and surgical skills assessment. Although there are a number of existing surgical simulators for research, they generally lack the ability to simulate the diverse types of objects and contact-rich manipulation tasks typically present in surgeries, such as tissue cutting and blood suction. In this work, we introduce CRESSim, a realistic surgica…

This https://arxiv.org/abs/2402.19350 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

Prompting Explicit and Implicit Knowledge for Multi-hop Question Answering Based on Human Reading Process
Pre-trained language models (PLMs) leverage chains-of-thought (CoT) to simulate human reasoning and inference processes, achieving proficient performance in multi-hop QA. However, a gap persists between PLMs' reasoning abilities and those of humans when tackling complex problems. Psychological studies suggest a vital connection between explicit information in passages and human prior knowledge during reading. Nevertheless, current research has given insufficient attention to linking input passa…

This https://arxiv.org/abs/2402.10690 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Strong fractionation of deuterium and helium in sub-Neptune atmospheres along the radius valley
We simulate atmospheric fractionation in escaping planetary atmospheres using IsoFATE, a new open-source numerical model. We expand the parameter space studied previously to planets with tenuous atmospheres that exhibit the greatest helium and deuterium enhancement. We simulate the effects of EUV-driven photoevaporation and core-powered mass loss on deuterium-hydrogen and helium-hydrogen fractionation of sub-Neptune atmospheres around G, K, and M stars. Our simulations predict prominent populat…

Beyond Language Models: Byte Models are Digital World Simulators
Shangda Wu, Xu Tan, Zili Wang, Rui Wang, Xiaobing Li, Maosong Sun
https://arxiv.org/abs/2402.19155

Beyond Language Models: Byte Models are Digital World Simulators
Traditional deep learning often overlooks bytes, the basic units of the digital world, where all forms of information and operations are encoded and manipulated in binary format. Inspired by the success of next token prediction in natural language processing, we introduce bGPT, a model with next byte prediction to simulate the digital world. bGPT matches specialized models in performance across various modalities, including text, audio, and images, and offers new possibilities for predicting, s…

SeSaMe: A Framework to Simulate Self-Reported Ground Truth for Mental Health Sensing Studies
Akshat Choube, Vedant Das Swain, Varun Mishra
https://arxiv.org/abs/2403.17219

SeSaMe: A Framework to Simulate Self-Reported Ground Truth for Mental Health Sensing Studies
Advances in mobile and wearable technologies have enabled the potential to passively monitor a person's mental, behavioral, and affective health. These approaches typically rely on longitudinal collection of self-reported outcomes, e.g., depression, stress, and anxiety, to train machine learning (ML) models. However, the need to continuously self-report adds a significant burden on the participants, often resulting in attrition, missing labels, or insincere responses. In this work, we introduce…

Fast Algorithms for Spiking Neural Network Simulation with FPGAs
Bj\"orn A. Lindqvist, Artur Podobas
https://arxiv.org/abs/2405.02019 https://<…

Fast Algorithms for Spiking Neural Network Simulation with FPGAs
Using OpenCL-based high-level synthesis, we create a number of spiking neural network (SNN) simulators for the Potjans-Diesmann cortical microcircuit for a high-end Field-Programmable Gate Array (FPGA). Our best simulators simulate the circuit 25\% faster than real-time, require less than 21 nJ per synaptic event, and are bottle-necked by the device's on-chip memory. Speed-wise they compare favorably to the state-of-the-art GPU-based simulators and their energy usage is lower than any other pub…

This https://arxiv.org/abs/2310.00121 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Tridiagonal matrix decomposition for Hamiltonian simulation on a quantum computer
The construction of quantum circuits to simulate Hamiltonian evolution is central to many quantum algorithms. State-of-the-art circuits are based on oracles whose implementation is often omitted, and the complexity of the algorithm is estimated by counting oracle queries. However, in practical applications, an oracle implementation contributes a large constant factor to the overall complexity of the algorithm. The key finding of this work is the efficient procedure for representation of a tridi…

Simulations of galaxies in an expanding Universe with modified Newtonian dynamics (MOND) and with modified gravitational attractions (MOGA)
S{\o}ren Toxvaerd
https://arxiv.org/abs/2403.02848 https://arxiv.org/pdf/2403.02848
arXiv:2403.02848v1 Announce Type: new
Abstract: The stability of galaxies is either explained by the existence of dark matter or caused by a modification of Newtonian acceleration (MOND). Here we show that the modification of the Newtonian dynamics can equally well be obtained by a modification of Newton's law of universal gravitational attraction (MOGA), by which an inverse square attraction from a distant object is replaced with an inverse attraction. This modification is often proposed in the standard model, and with the modification of the attraction caused by dark matter. The recently derived algorithm, Eur. Phys. J. Plus 137, 99 (2022); Class. Quantum Grav. 39, 225006 (2022), for classical celestial dynamics is used to simulate models of the Milky Way in an expanding universe and with either MOND or MOGA. The simulations show that the galaxies with MOND dynamics are unstable whereas MOGA stabilizes the galaxies. The rotation velocities for objects in galaxies with classical Newtonian dynamics decline inversely proportional to the square root of the distance $r$ to the galaxy's center. However, the rotation velocities are relatively independent of $r$ for MOGA and qualitatively in agreement with experimentally determined rotation curves for galaxies in the Universe. The modification of the attractions may be caused by the masses of the objects in the central part of the galaxy by the lensing of gravitational waves from far-away objects in the galaxy.

Rapid state-recrossing kinetics in non-Markovian systems
Qingyuan Zhou, Roland R. Netz, Benjamin A. Dalton
https://arxiv.org/abs/2403.06604 https://…

Rapid state-recrossing kinetics in non-Markovian systems
The mean first-passage time (MFPT) is one standard measure for the reaction time in thermally activated barrier-crossing processes. While the relationship between MFPTs and phenomenological rate coefficients is known for systems that satisfy Markovian dynamics, it is not clear how to interpret MFPTs for experimental and simulation time-series data generated by non-Markovian systems. Here, we simulate a one-dimensional generalized Langevin equation (GLE) in a bistable potential and compare two r…

The Advective Flux Transport Model: Improving the Far-Side with Active Regions observed by STEREO 304\r{A}
Lisa A. Upton, Ignacio Ugarte-Urra, Harry P. Warren, David H. Hathaway
https://arxiv.org/abs/2404.04280

The Advective Flux Transport Model: Improving the Far-Side with Active Regions observed by STEREO 304Å
Observations the Sun's photospheric magnetic field are often confined to the Sun-Earth line. Surface flux transport (SFT) models, such as the Advective Flux Transport (AFT) model, simulate the evolution of the photospheric magnetic field to produce magnetic maps over the entire surface of the Sun. While these models are able to evolve active regions that transit the near-side of the Sun, new far-side side flux emergence is typically neglected. We demonstrate a new method for creating improved m…

Accretion Flares from Stellar Collisions in Galactic Nuclei
Betty X. Hu, Avi Loeb
https://arxiv.org/abs/2404.07255 https://arxiv.org/…

Accretion Flares from Stellar Collisions in Galactic Nuclei
The strong tidal force in a supermassive black hole's (SMBH) vicinity, coupled with a higher stellar density at the center of a galaxy, make it an ideal location to study the interaction between stars and black holes. Two stars moving near the SMBH could collide at a very high speed, which can result in a high energy flare. The resulting debris can then accrete onto the SMBH, which could be observed as a separate event. We simulate the light curves resulting from the fallback accretion in the a…

Teacher-Student Network for Real-World Face Super-Resolution with Progressive Embedding of Edge Information
Zhilei Liu, Chenggong Zhang
https://arxiv.org/abs/2405.04778

Teacher-Student Network for Real-World Face Super-Resolution with Progressive Embedding of Edge Information
Traditional face super-resolution (FSR) methods trained on synthetic datasets usually have poor generalization ability for real-world face images. Recent work has utilized complex degradation models or training networks to simulate the real degradation process, but this limits the performance of these methods due to the domain differences that still exist between the generated low-resolution images and the real low-resolution images. Moreover, because of the existence of a domain gap, the seman…

This https://arxiv.org/abs/2401.13344 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Accuracy and Performance Evaluation of Low Density Internal and External Flow Predictions using CFD and DSMC
The Direct Simulation Monte Carlo (DSMC) method was widely used to simulate low density gas flows with large Knudsen numbers. However, DSMC encounters limitations in the regime of lower Knudsen numbers (Kn<0.1). In such cases, approaches from classical computational fluid dynamics (CFD) relying on the continuum assumption are preferred, offering accurate solutions at acceptable computational costs. In experiments aimed at imaging aerosolized nanoparticles in vacuo a wide range of Knudsen number…

Efficient Data Generation for Source-grounded Information-seeking Dialogs: A Use Case for Meeting Transcripts
Lotem Golany, Filippo Galgani, Maya Mamo, Nimrod Parasol, Omer Vandsburger, Nadav Bar, Ido Dagan
https://arxiv.org/abs/2405.01121

Efficient Data Generation for Source-grounded Information-seeking Dialogs: A Use Case for Meeting Transcripts
Existing methods for creating source-grounded information-seeking dialog datasets are often costly and hard to implement due to their sole reliance on human annotators. We propose combining large language models (LLMs) prompting with human expertise for more efficient and reliable data generation. Instead of the labor-intensive Wizard-of-Oz (WOZ) method, where two annotators generate a dialog from scratch, role-playing agent and user, we use LLM generation to simulate the two roles. Annotators …

This https://arxiv.org/abs/2209.15336 has been replaced.
link: https://scholar.google.com/scholar?q=a

Hadron productions and jet substructures associated with $Z^0/γ$ in Pb+Pb collisions at the LHC
We carry out a detailed study of medium modifications on $Z^0$/$γ$+hadron correlations as well as jet substructures in association with $Z^0/γ$ in Pb+Pb collisions with $\sqrt{s_{NN}}=5.02$ TeV at the LHC. We utilize the Linear Boltzmann transport (LBT) model to simulate the jet-medium interactions and medium response, and an extended cluster hadronization model to investigate the non-perturbative transition of quarks and gluons into final hadrons in heavy-ion collisions. Including hadronizat…

Impacts of source morphology on the detectability of subhalos in strong lenses
Tyler J. Hughes, Karl Glazebrook, Colin Jacobs
https://arxiv.org/abs/2403.04349

Impacts of source morphology on the detectability of subhalos in strong lenses
We provide an analysis of a convolutional neural network's ability to identify the lensing signal of single dark matter subhalos in strong galaxy-galaxy lenses in the presence of increasingly complex source light morphology. We simulate a balanced dataset of 800,000 strong lens images both perturbed and unperturbed by a single subhalo ranging in virial mass between $10^{7.5} M_{\odot} - 10^{11}M_{\odot}$ and characterise the source complexity by the number of Sersic clumps present in the source…

Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving
Haicheng Liao, Xuelin Li, Yongkang Li, Hanlin Kong, Chengyue Wang, Bonan Wang, Yanchen Guan, KaHou Tam, Zhenning Li, Chengzhong Xu
https://arxiv.org/abs/2405.02145

Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving
Trajectory prediction is a cornerstone in autonomous driving (AD), playing a critical role in enabling vehicles to navigate safely and efficiently in dynamic environments. To address this task, this paper presents a novel trajectory prediction model tailored for accuracy in the face of heterogeneous and uncertain traffic scenarios. At the heart of this model lies the Characterized Diffusion Module, an innovative module designed to simulate traffic scenarios with inherent uncertainty. This modul…

This https://arxiv.org/abs/2312.15703 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Algebraic Quantification of the Contribution of Active Regions to the Sun's Dipole Moment: Applications to Century-scale Polar Field Estimates and Solar Cycle Forecasting
The solar cycle is generated by a magnetohydrodynamic dynamo mechanism which involves the induction and recycling of the toroidal and poloidal components of the Sun's magnetic field. Recent observations indicate that the Babcock-Leighton mechanism -- mediated via the emergence and evolution of tilted bipolar active regions -- is the primary contributor to the Sun's large-scale dipolar field. Surface flux transport models and dynamo models have been employed to simulate this mechanism, which als…

Variational simulation of $d$-level systems on qubit-based quantum simulators
Chufan Lyu, Zuoheng Zou, Xusheng Xu, Man-Hong Yung, Abolfazl Bayat
https://arxiv.org/abs/2405.05051 <…

Variational simulation of $d$-level systems on qubit-based quantum simulators
Current quantum simulators are primarily qubit-based, making them naturally suitable for simulating 2-level quantum systems. However, many systems in nature are inherently $d$-level, including higher spins, bosons, vibrational modes, and itinerant electrons. To simulate $d$-level systems on qubit-based quantum simulators, an encoding method is required to map the $d$-level system onto a qubit basis. Such mapping may introduce illegitimate states in the Hilbert space which makes the simulation m…

Remnant masses from 1D core-collapse supernovae simulations: bimodal neutron star mass distribution and black holes in the low-mass gap
Luca Boccioli, Giacomo Fragione
https://arxiv.org/abs/2404.05927

Remnant masses from 1D+ core-collapse supernovae simulations: bimodal neutron star mass distribution and black holes in the low-mass gap
The explosion of core-collapse supernovae (CCSNe) is an extremely challenging problem, and there are still large uncertainties regarding which stars lead to successful explosions that leave behind a neutron star, and which ones will form a black hole instead. In this paper, we simulate 341 progenitors at three different metallicities using spherically symmetric simulations that include neutrino-driven convection via a mixing-length theory. We use these simulations to improve previously derived …

On the relevance of lift force modelling in turbulent wall flows with small inertial particles
Wei Gao, Pengyu Shi, Matteo Parsani, Pedro Costa
https://arxiv.org/abs/2404.05346

On the relevance of lift force modelling in turbulent wall flows with small inertial particles
In particle-laden turbulent wall flows, lift forces can influence the near-wall turbulence. This has been recently observed in particle-resolved simulations, which, however, are too expensive to be used in upscaled models. Instead, point-particle simulations have been the method of choice to simulate the dynamics of these flows during the last decades. While this approach is simpler, cheaper, and physically sound for small inertial particles in turbulence, some issues remain. In the present wor…

Prompting Explicit and Implicit Knowledge for Multi-hop Question Answering Based on Human Reading Process
Guangming Huang, Yunfei Long, Cunjin Luo, Jiaxing Shen, Xia Sun
https://arxiv.org/abs/2402.19350

Prompting Explicit and Implicit Knowledge for Multi-hop Question Answering Based on Human Reading Process
Pre-trained language models (PLMs) leverage chains-of-thought (CoT) to simulate human reasoning and inference processes, achieving proficient performance in multi-hop QA. However, a gap persists between PLMs' reasoning abilities and those of humans when tackling complex problems. Psychological studies suggest a vital connection between explicit information in passages and human prior knowledge during reading. Nevertheless, current research has given insufficient attention to linking input passa…

Asymptotic preserving finite volume method for the compressible Euler equations: analysis via dissipative measure-valued solutions
K. R. Arun, Amogh Krishnamurthy, M\'aria Luk\'a\v{c}ov\'a-Medvid'ov\'a
https://arxiv.org/abs/2405.05685

Asymptotic preserving finite volume method for the compressible Euler equations: analysis via dissipative measure-valued solutions
We propose and analyze a new asymptotic preserving (AP) finite volume scheme for the multidimensional compressible barotropic Euler equations to simulate low Mach number flows. The proposed scheme uses a stabilized upwind numerical flux, with the stabilization term being proportional to the stiff pressure gradient, and we prove its conditional energy stability and consistency. Utilizing the concept of dissipative measure-valued (DMV) solutions, we rigorously illustrate the AP properties of the …

Astrometric Redshifts of Supernovae
Jaemyoung (Jason), Lee, Masao Sako, Richard Kessler, Alex I. Malz, The LSST Dark Energy Science Collaboration
https://arxiv.org/abs/2405.04522

Astrometric Redshifts of Supernovae
Differential Chromatic Refraction (DCR) is caused by the wavelength dependence of our atmosphere's refractive index, which shifts the apparent positions of stars and galaxies and distorts their shapes depending on their spectral energy distributions (SEDs). While this effect is typically mitigated and corrected for in imaging observations, we investigate how DCR can instead be used to our advantage to infer the redshifts of supernovae from multi-band, time-series imaging data. We simulate Type …

Approximating a branch of solutions to the Navier--Stokes equations by reduced-order modeling
Maxim A. Olshanskii, Leo G. Rebholz
https://arxiv.org/abs/2405.03796

Approximating a branch of solutions to the Navier--Stokes equations by reduced-order modeling
This paper extends a low-rank tensor decomposition (LRTD) reduced order model (ROM) methodology to simulate viscous flows and in particular to predict a smooth branch of solutions for the incompressible Navier-Stokes equations. Additionally, it enhances the LRTD-ROM methodology by introducing a non-interpolatory variant, which demonstrates improved accuracy compared to the interpolatory method utilized in previous LRTD-ROM studies. After presenting both the interpolatory and non-interpolatory L…

Asymptotic preserving finite volume method for the compressible Euler equations: analysis via dissipative measure-valued solutions
K. R. Arun, Amogh Krishnamurthy, M\'aria Luk\'a\v{c}ov\'a-Medvid'ov\'a
https://arxiv.org/abs/2405.05685

Asymptotic preserving finite volume method for the compressible Euler equations: analysis via dissipative measure-valued solutions
We propose and analyze a new asymptotic preserving (AP) finite volume scheme for the multidimensional compressible barotropic Euler equations to simulate low Mach number flows. The proposed scheme uses a stabilized upwind numerical flux, with the stabilization term being proportional to the stiff pressure gradient, and we prove its conditional energy stability and consistency. Utilizing the concept of dissipative measure-valued (DMV) solutions, we rigorously illustrate the AP properties of the …

This https://arxiv.org/abs/2403.19154 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

STaR-GATE: Teaching Language Models to Ask Clarifying Questions
When prompting language models to complete a task, users often leave important aspects unsaid. While asking questions could resolve this ambiguity \citep[GATE;][]{li2023eliciting}, models often struggle to ask good questions. We explore a language model's ability to self-improve \citep[STaR;][]{zelikman2022star} by rewarding the model for generating useful questions -- a simple method we dub STaR-GATE. We generate a synthetic dataset of 25,500 unique persona-task prompts to simulate conversatio…

This https://arxiv.org/abs/2305.17614 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Velocity gradient analysis of a head-on vortex ring collision
We simulate the head-on collision between vortex rings with circulation Reynolds numbers of 4000 using an adaptive, multiresolution solver based on the lattice Green's function. The simulation fidelity is established with integral metrics representing symmetries and discretization errors. Using the velocity gradient tensor and structural features of local streamlines, we characterize the evolution of the flow with a particular focus on its transition and turbulent decay. Transition is excited b…

This https://arxiv.org/abs/2402.00524 has been replaced.
link: https://scholar.google.com/scholar?q=a

Witnessing non-Markovianity with Gaussian quantum steering in collision model
The nonincreasing feature of temporal quantum steering under a completely positive trace-preserving (CPTP) map, as proposed by Chen, et al. in Phys. Rev. Lett. 116, 020503 (2016), has been considered as a practical measure of non-Markovianity. In this paper, we utilize an all-optical scheme to simulate a non-Markovian collision model and to examine how Gaussian steering can be used as a tool for quantifying the non-Markovianity of a structured continuous variable (CV) Gaussian channel. By modif…

This https://arxiv.org/abs/2403.11893 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Quantum Coordination Rates in Multi-Partite Networks
The optimal coordination rates are determined in three primary settings of multi-partite quantum networks, thus characterizing the minimal resources required in order to simulate a joint quantum state among multiple parties. We study the following models: (1) a cascade network with limited entanglement, (2) a broadcast network, which consists of a single sender and two receivers, (3) a multiple-access network with two senders and a single receiver. We establish the necessary and sufficient cond…

Probing the topological phase transition in the Su-Schrieffer-Heeger model using Rydberg-atom synthetic dimensions
Yi Lu, Chuanyu Wang, Soumya K. Kanungo, F. Barry Dunning, Thomas C. Killian
https://arxiv.org/abs/2404.18420

Probing the topological phase transition in the Su-Schrieffer-Heeger model using Rydberg-atom synthetic dimensions
We simulate the the Su-Schrieffer-Heeger (SSH) model using Rydberg-atom synthetic dimensions constructed, in a single atom, from a ladder of six neighboring $n\:^3S_1$ Rydberg states in which adjacent states are coupled with two-photon transitions using microwave fields. Alternating strong/weak tunneling rates, controlled by adjusting the microwave amplitudes, are varied to map out the topological phase transition as a function of the ratio of the tunneling rates. For each ratio, quench dynam…