Tootfinder

Improving Muon Scattering Tomography Performance With A Muon Momentum Measurement Scheme
Pei Yu, Ziwen Pan, Jiajia Zhai, Yu Xu, Li Deng, Zhengyang He, Zhe Chen, Zechao Kang, Yuhong Yu, Xueheng Zhang, Liangwen Chen, Lei Yang, Zhiyu Sun
https://arxiv.org/abs/2509.12800

Improving Muon Scattering Tomography Performance With A Muon Momentum Measurement Scheme
Muon imaging, especially muon scattering tomography (MST), has recently garnered significant attention. MST measures the magnitude of muon scattering angles inside an object, which depends not only on the material properties but also on the muon momentum. Due to the difficulty of simultaneous measurement of momentum, it was neglected and taken as a constant in multiple MST reconstruction algorithms. Recently, an experimental measurement scheme has emerged that is feasible in engineering, but it…

The effect of magnetic fields on vertex reconstructed muon-spin spectroscopy
Pascal Isenring, Zaher Salman
https://arxiv.org/abs/2510.10094 https://arxiv.o…

The effect of magnetic fields on vertex reconstructed muon-spin spectroscopy
The use of a Si pixel-based particle tracking scheme in muSR will, among others, allow measurements using a ten-fold increased stopped muons rate and samples ten times smaller than currently possible. Here we present simulation results to assess the effects of magnetic fields on two spectrometer configurations using a two-layered tracking scheme for the incoming and outgoing particles. At a low magnetic field of up to ~50 mT, the tracking and reconstruction accuracy is only minimally influenced…

Stochastic numerical head phantoms to enable virtual imaging studies of transcranial photoacoustic computed tomography
Hsuan-Kai Huang, Joseph Kuo, Seonyeong Park, Umberto Villa, Lihong V. Wang, Mark A. Anastasio
https://arxiv.org/abs/2510.09758

Stochastic numerical head phantoms to enable virtual imaging studies of transcranial photoacoustic computed tomography
Transcranial photoacoustic computed tomography (PACT) is an emerging neuroimaging modality, but skull-induced aberrations can result in severe image artifacts if not compensated for during image reconstruction. The development of advanced image reconstruction methods for transcranial PACT is hindered by the lack of well-characterized, clinically relevant evaluation frameworks. Virtual imaging studies offer a solution, but require realistic numerical phantoms. To address this need, this study in…

Theoretical Analysis of Topotomography Using Small Intragranular Strain Approximations
Zheheng Liu, Nicola Vigano, Henry Proudhon, Wolfgang Ludwig
https://arxiv.org/abs/2510.08712

Theoretical Analysis of Topotomography Using Small Intragranular Strain Approximations
Topo-Tomography (TT) is a synchrotron-based X-ray diffraction imaging technique used to characterize grain shape and crystal orientation in polycrystalline samples. This work aims to provide a decisive and fundamental understanding of 3D grain shape and orientation field reconstruction from TT diffraction data. We derive mathematical expressions for the TT projection geometry, considering grain shape, intragranular lattice rotations, and elastic strains, under the assumption of kinematical diff…

Non-Gravitational Acceleration in 3I ATLAS: Constraints on Exotic Volatile Outgassing in Interstellar Comets
Florian Neukart
https://arxiv.org/abs/2511.07450 https://arxiv.org/pdf/2511.07450 https://arxiv.org/html/2511.07450
arXiv:2511.07450v1 Announce Type: new
Abstract: The interstellar comet 3I/ATLAS exhibited a measurable nongravitational acceleration similar in form to that of 1I/'Oumuamua but of smaller magnitude. Using thermophysical and Monte Carlo models, we show that this acceleration can be fully explained by anisotropic outgassing of conventional volatiles, primarily CO and CO2, under realistic surface and rotational conditions. The model includes diurnal and obliquity-averaged energy balance, empirical vapor-pressure relations, and collimated jet emission from localized active regions. Mixed CO-CO2 compositions reproduce both the magnitude and direction of the observed acceleration with physically plausible active fractions below one percent for nucleus radii between 0.5 and 3 km. Less volatile species such as NH3 and CH4 underproduce thrust at equilibrium temperatures near 1 AU. These results eliminate the need for nonphysical or exotic explanations and define thermophysical limits for natural acceleration mechanisms in interstellar comets.
toXiv_bot_toot

Seriously, the worst ones are nodejs and rust: they fundamentally break the nodejs dependency model, flattening everything. They've chosen _controlling_ dependencies instead of _annotating_ them for understanding. Metadata about what's in a package and a package-build-time mechanism for substituting things in lockfiles would be far far simpler for forcing security updates than rewriting everything to use system dependencies, and versions that are not reconcilable.
Heck, both npm and cargo have put a lot of effort into repeatability though not actual hermetic builds, so it's very much Good Enough if you're using lock files. The problems are in updating those, not building packages. Mirror the registries if you need to. That's a much more tractable problem than _rewriting parts of everything you package_ or _eagerly packaging every dependency as a separate [human] task_

Optimised neural networks for online processing of ATLAS calorimeter data on FPGAs
Georges Aad, Raphael Bertrand, Lauri Laatu, Emmanuel Monnier, Arno Straessner, Nairit Sur, Johann C. Voigt
https://arxiv.org/abs/2510.11469

Optimised neural networks for online processing of ATLAS calorimeter data on FPGAs
A study of neural network architectures for the reconstruction of the energy deposited in the cells of the ATLAS liquid-argon calorimeters under high pile-up conditions expected at the HL-LHC is presented. These networks are designed to run on the FPGA-based readout hardware of the calorimeters under strict size and latency constraints. Several architectures, including Dense, Recurrent (RNN), and Convolutional (CNN) neural networks, are optimised using a Bayesian procedure that balances energy …

Adaptive Pruning for Increased Robustness and Reduced Computational Overhead in Gaussian Process Accelerated Saddle Point Searches
Rohit Goswami (Science Institute and Faculty of Physical Sciences, University of Iceland, Reykjav\'ik, Iceland), Hannes J\'onsson (Science Institute and Faculty of Physical Sciences, University of Iceland, Reykjav\'ik, Iceland)

Adaptive Pruning for Increased Robustness and Reduced Computational Overhead in Gaussian Process Accelerated Saddle Point Searches
Gaussian process (GP) regression provides a strategy for accelerating saddle point searches on high-dimensional energy surfaces by reducing the number of times the energy and its derivatives with respect to atomic coordinates need to be evaluated. The computational overhead in the hyperparameter optimization can, however, be large and make the approach inefficient. Failures can also occur if the search ventures too far into regions that are not represented well enough by the GP model. Here, the…

Henry passes Payton for 5th all-time in rush TDs https://www.espn.com/nfl/story/_/id/46733911/ravens-henry-passes-payton-5th-all-rushing-tds

The dawn of alchemical free-energy methods in biomolecular simulations
Daniele Macuglia, Giovanni Ciccotti, Beno\^it Roux
https://arxiv.org/abs/2510.04917 https://

The dawn of alchemical free-energy methods in biomolecular simulations
From the onset of fundamental statistical mechanical constructs formulated in the late 19th century, alchemical free-energy methods slowly emerged and transitioned to become operational tools of biomolecular simulation applicable to a wide range of problems including protein-ligand binding for drug discovery research. This article reconstructs how statistical mechanical approaches such as thermodynamic integration and free-energy perturbation were reconfigured in the early 1980's to address the…