Tootfinder

Protoplanetary disks around magnetized young stars with large-scale magnetic fields I: Steady-state solutions
D. Steiner, L. Gehrig, M. G\"udel
https://arxiv.org/abs/2509.08393

Protoplanetary disks around magnetized young stars with large-scale magnetic fields I: Steady-state solutions
Describing the large-scale field topology of protoplanetary disks faces significant difficulties and uncertainties. The transport of the large-scale field inside the disk plays an important role in understanding its evolution. We aim to improve our understanding of the dependencies that stellar magnetic fields pose on the large-scale field. We focus on the innermost disk region ($\lesssim$ 0.1 AU), which is crucial for understanding the long-term disk evolution. We present a novel approach comb…

PARROT: Portable Android Reproducible traffic Observation Tool
Andrea Jimenez-Berenguel, Celeste Campo, Marta Moure-Garrido, Carlos Garcia-Rubio, Daniel D\'iaz-Sanchez, Florina Almenares
https://arxiv.org/abs/2509.09537

PARROT: Portable Android Reproducible traffic Observation Tool
The rapid evolution of mobile security protocols and limited availability of current datasets constrains research in app traffic analysis. This paper presents PARROT, a reproducible and portable traffic capture system for systematic app traffic collection using Android Virtual Devices. The system provides automated environment setup, configurable Android versions, traffic recording management, and labeled captures extraction with human-in-the-loop app interaction. PARROT integrates mitmproxy fo…

A Portable Multi-GPU Solver for Collisional Plasmas with Coulombic Interactions
James Almgren-Bell, Nader Al Awar, Dilip S Geethakrishnan, Milos Gligoric, George Biros
https://arxiv.org/abs/2508.06771 …

A Portable Multi-GPU Solver for Collisional Plasmas with Coulombic Interactions
We study parallel particle-in-cell (PIC) methods for low-temperature plasmas (LTPs), which discretize kinetic formulations that capture the time evolution of the probability density function of particles as a function of position and velocity. We use a kinetic description for electrons and a fluid approximation for heavy species. In this paper, we focus on GPU acceleration of algorithms for velocity-space interactions and in particular, collisions of electrons with neutrals, ions, and electrons…

Large-scale portfolio optimization with variational neural annealing
Nishan Ranabhat, Behnam Javanparast, David Goerz, Estelle Inack
https://arxiv.org/abs/2507.07159

Large-scale portfolio optimization with variational neural annealing
Portfolio optimization is a routine asset management operation conducted in financial institutions around the world. However, under real-world constraints such as turnover limits and transaction costs, its formulation becomes a mixed-integer nonlinear program that current mixed-integer optimizers often struggle to solve. We propose mapping this problem onto a classical Ising-like Hamiltonian and solving it with Variational Neural Annealing (VNA), via its classical formulation implemented using …

Prompt atmospheric leptons and the potential role of intrinsic charm
Laksha Pradip Das, Diksha Garg, Maria Vittoria Garzelli, Mary Hall Reno, G\"unter Sigl
https://arxiv.org/abs/2508.06473

Prompt atmospheric leptons and the potential role of intrinsic charm
The all-sky very-high energy ($10^4-10^6$ GeV) atmospheric muon flux is most recently measured by IceCube, where in the higher energy range, the spectrum hardens indicating a prompt component. IceCube also measures the atmospheric muon neutrino flux at high energy. Since this is dominated by the astrophysical flux, they are only able to set an upper bound on the prompt atmospheric muon neutrino flux contribution. We provide a new evaluation of the prompt atmospheric muon flux including for the …

Confronting General Relativity with Principal Component Analysis: Simulations and Results from GWTC-3 Events
Parthapratim Mahapatra, Sayantani Datta, Ish Gupta, Poulami Dutta Roy, Muhammed Saleem, Purnima Narayan, Soumen Roy, Jan Steinhoff, Deirdre Shoemaker, Alan J. Weinstein, Anuradha Gupta, B. S. Sathyaprakash, K. G. Arun
https://arxiv.…

Confronting General Relativity with Principal Component Analysis: Simulations and Results from GWTC-3 Events
We present a comprehensive assessment of multiparameter tests of general relativity (GR) in the inspiral regime of compact binary coalescences using Principal Component Analysis (PCA). Our analysis is based on an extensive set of simulated gravitational wave signals, including both general relativistic and non-GR sources, injected into zero-noise data colored by the noise power spectral densities of the LIGO and Virgo detectors at their designed sensitivities. We evaluate the performance of PCA…

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Vielleicht ist genau für diese Menschen so Portal wie Peertube genau richtig, die auf Reichweite schei**en und ihre Videos, ob nun gut oder nicht, da hochladen …

Subject grounding to reduce electromagnetic interference for MRI scanners operating in unshielded environments
Beatrice Lena, Bart de Vos, Teresa Guallart-Naval, Javad Parsa, Pablo Garc\'ia Crist\'obal, Ruben van den Broek, Chlo\'e Najac, Joseba Alonso, Andrew Webb
https://arxiv.org/abs/2507.07459

Subject grounding to reduce electromagnetic interference for MRI scanners operating in unshielded environments
Purpose. Portable low-field (< 0.1 T) MRI is increasingly used for point-of-care imaging, but electromagnetic interference (EMI) presents a significant challenge, especially in unshielded environments. EMI can degrade image quality and compromise diagnostic utility. This study investigates whether subject grounding can effectively reduce EMI and improve image quality, comparing different grounding strategies. Methods. Experiments were conducted using a 47 mT Halbach-based MRI scanner with a sin…

Causal identification with $Y_0$
Charles Tapley Hoyt, Craig Bakker, Richard J. Callahan, Joseph Cottam, August George, Benjamin M. Gyori, Haley M. Hummel, Nathaniel Merrill, Sara Mohammad Taheri, Pruthvi Prakash Navada, Marc-Antoine Parent, Adam Rupe, Olga Vitek, Jeremy Zucker
https://arxiv.org/abs/2508.03167…

Causal identification with $Y_0$
We present the $Y_0$ Python package, which implements causal identification algorithms that apply interventional, counterfactual, and transportability queries to data from (randomized) controlled trials, observational studies, or mixtures thereof. $Y_0$ focuses on the qualitative investigation of causation, helping researchers determine whether a causal relationship can be estimated from available data before attempting to estimate how strong that relationship is. Furthermore, $Y_0$ provides gu…

Directional Flow of Confined Polaritons in CrSBr
Pratap Chandra Adak, Sichao Yu, Jaime Abad-Arredondo, Biswajit Datta, Andy Cruz, Sorah Fischer, Kseniia Mosina, Zden\v{e}k Sofer, Antonio I. Fern\'andez-Dom\'inguez, Francisco J. Garc\'ia-Vidal, Vinod M. Menon
https://arxiv.org/abs/2507.04367

Directional Flow of Confined Polaritons in CrSBr
Nanoscale control of energy transport is a central challenge in modern photonics. Utilization of exciton-polaritons hybrid light-matter quasiparticles is one viable approach, but it typically demands complex device engineering to enable directional transport. Here, we demonstrate that the van der Waals magnet CrSBr offers an inherent avenue for steering polariton transport leveraging a unique combination of intrinsic optical anisotropy, high refractive index, and excitons dressed by photons. Th…