Tootfinder

Zomaar een zomers berichtje uit Barcelona:
Twee mensen vermist na hevige regenval in en rond Barcelona | de Volkskrant
https://archive.ph/7GJQU

Hess-MC2: Sequential Monte Carlo Squared using Hessian Information and Second Order Proposals
Joshua Murphy, Conor Rosato, Andrew Millard, Lee Devlin, Paul Horridge, Simon Maskell
https://arxiv.org/abs/2507.07461

Hess-MC2: Sequential Monte Carlo Squared using Hessian Information and Second Order Proposals
When performing Bayesian inference using Sequential Monte Carlo (SMC) methods, two considerations arise: the accuracy of the posterior approximation and computational efficiency. To address computational demands, Sequential Monte Carlo Squared (SMC$^2$) is well-suited for high-performance computing (HPC) environments. The design of the proposal distribution within SMC$^2$ can improve accuracy and exploration of the posterior as poor proposals may lead to high variance in importance weights and …

Endlich mal wieder eine Homestory von der Hofewiese in der Zastrowschen! Was hab ich das vermisst!

Soil Salinity Frequency-Dependent Prediction Model Using Electrical Conductivity Spectroscopy Measurement
Javad Jafaryahya, Rasool Keshavarz, Tarou Kikuchi, Negin Shariati
https://arxiv.org/abs/2507.03888

Soil Salinity Frequency-Dependent Prediction Model Using Electrical Conductivity Spectroscopy Measurement
Soil salinity is a critical factor influencing agricultural productivity and environmental sustainability, requiring precise monitoring tools. This paper focuses on developing a frequency-dependent model to predict soil salinity based on electrical conductivity (EC) and volumetric water content (VWC). A dataset of 40 soil samples with varying levels of salinity and moisture, consisting of two soil types (sandy and clayey), was experimentally measured for EC in the frequency range of 10 to 295 M…

Transforming H&E images into IHC: A Variance-Penalized GAN for Precision Oncology
Sara Rehmat, Hafeez Ur Rehman
https://arxiv.org/abs/2506.18371 https:…

Transforming H&E images into IHC: A Variance-Penalized GAN for Precision Oncology
The overexpression of the human epidermal growth factor receptor 2 (HER2) in breast cells is a key driver of HER2-positive breast cancer, a highly aggressive subtype requiring precise diagnosis and targeted therapy. Immunohistochemistry (IHC) is the standard technique for HER2 assessment but is costly, labor-intensive, and highly dependent on antibody selection. In contrast, hematoxylin and eosin (H&E) staining, a routine histopathological procedure, offers broader accessibility but lacks HER2 …

Multiplicity dependence of the entropy and heat capacity for pp collisions at LHC energies
C. E. Mungu\'ia L\'opez, D. Rosales Herrera, J. R. Alvarado Garc\'ia, A. Fern\'andez T\'ellez, J. E. Ram\'irez
https://arxiv.org/abs/2508.05058

Multiplicity dependence of the entropy and heat capacity for pp collisions at LHC energies
We investigate the multiplicity dependence of the transverse momentum spectrum of the charged particle production in pp collisions at LHC energies. To this end, we consider the experimental data sets classified with different multiplicity estimators, defined by the ALICE Collaboration, that are analyzed within the framework of nonextensive particle production. We compute the variance, kurtosis, Shannon entropy, and heat capacity of the $p_T$ spectrum to study the hardening process as a function…

Double Descent and Overparameterization in Particle Physics Data
Matthias Vigl, Lukas Heinrich
https://arxiv.org/abs/2509.01397 https://arxiv.org/pdf/2509.…

Double Descent and Overparameterization in Particle Physics Data
Recently, the benefit of heavily overparameterized models has been observed in machine learning tasks: models with enough capacity to easily cross the \emph{interpolation threshold} improve in generalization error compared to the classical bias-variance tradeoff regime. We demonstrate this behavior for the first time in particle physics data and explore when and where `double descent' appears and under which circumstances overparameterization results in a performance gain.

Cosmic Axions Revealed via Amplified Modulation of Ellipticity of Laser (CARAMEL)
Hooman Davoudiasl, Yannis K. Semertzidis
https://arxiv.org/abs/2506.24022

Cosmic Axions Revealed via Amplified Modulation of Ellipticity of Laser (CARAMEL)
We propose a new axion dark matter detection strategy that employs optical readout of laser beam ellipticity modulations caused by axion-induced electric fields in a microwave cavity, using electro-optic (EO) crystals, enhanced by externally injected radio-frequency (RF) power. Building upon the variance-based probing method, PRD 107, 103005, (2023), we extend this concept to the optical domain: a weak probe laser interacts with an EO crystal placed inside a resonant microwave cavity at cryogen…