Tootfinder

Development and Testing of a Low Cost Ultrasonic Leak Detector
Senol Gulgonul
https://arxiv.org/abs/2506.04862 https://arxiv.org/pdf/…

Development and Testing of a Low Cost Ultrasonic Leak Detector
This study focuses on the development of an ultrasonic leak detection system utilizing the Arduino Nano 33 BLE Sense Rev2 board. The research aimed to create a compact and cost-effective solution for identifying leaks in high-pressure pipes. Algorithms were designed to enable lossless recording and processing of sound data captured by the onboard MEMS microphone. Key signal processing techniques, including the implementation of an IIR high-pass filter and RMS calculation, were employed to detec…

Polarized Neutrons at ISIS: Recent Developments And Highlights
Polly Mitchell, Holly I. Barnfield, Mark Devonport, Kirill Nemkovski, G{\o}ran J. Nilsen, Peter Galsworthy, Gavin B. G. Stenning
https://arxiv.org/abs/2506.05148

Polarized Neutrons at ISIS: Recent Developments And Highlights
We present two recent projects which aim to improve the performance of polarized neutron scattering experiments using hyperpolarized $^{3}He$ spin filters at ISIS. The first is the optimization of a new compact magnetostatic cavity ("Magic Box") to house the $^{3}He$ spin filters based on an existing design. With a length of only 380 mm, it provides a field gradient relaxation time for the $^{3}He$ cell of 421 h in ambient conditions. It also contains a radiofrequency coil for adiabatic fast pa…

A Family of Robust Generalized Adaptive Filters and Application for Time-series Prediction
Yi Peng, Haiquan Zhao, Jinhui Hu
https://arxiv.org/abs/2506.00397

A Family of Robust Generalized Adaptive Filters and Application for Time-series Prediction
The continuous development of new adaptive filters (AFs) based on novel cost functions (CFs) is driven by the demands of various application scenarios and noise environments. However, these algorithms typically demonstrate optimal performance only in specific conditions. In the event of the noise change, the performance of these AFs often declines, rendering simple parameter adjustments ineffective. Instead, a modification of the CF is necessary. To address this issue, the robust generalized ad…

This https://arxiv.org/abs/2412.14844 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Astrometry-Only Detection of Microlensing Events with Gaia
Astrometric microlensing events occur when a massive object passes between a distant source and the observer, causing a shift of the light centroid. The precise astrometric measurements of the Gaia mission provide an unprecedented opportunity to detect and analyze these events, revealing properties of lensing objects such as their mass and distance. We develop and test the Gaia Astrometric Microlensing Events (GAME) Filter, a software tool to identify astrometric microlensing events and derive …

traccc: GPU track reconstruction library for HEP experiments
Paul Gessinger, Heather M. Gray, Attila Krasznahorkay, Charles Leggett, Joana Niermann, Andreas Salzburger, Stephen Nicholas Swatman, Beomki Yeo
https://arxiv.org/abs/2505.22822

traccc: GPU track reconstruction library for HEP experiments
We present the current development status and progress of traccc, a GPU track reconstruction library developed in the context of the A Common Tracking Software (ACTS) project. traccc implements tracking algorithms used in high energy physics (HEP) experiments, including the Kalman filter based track finding and fitting. We benchmark the software with data simulated by Geant4 to measure the physics and computing performance. We show that the physics performance for GPU and CPU are very close. We…

This https://arxiv.org/abs/2505.06612 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSI_…

Burger: Robust Graph Denoising-augmentation Fusion and Multi-semantic Modeling in Social Recommendation
In the era of rapid development of social media, social recommendation systems as hybrid recommendation systems have been widely applied. Existing methods capture interest similarity between users to filter out interest-irrelevant relations in social networks that inevitably decrease recommendation accuracy, however, limited research has a focus on the mutual influence of semantic information between the social network and the user-item interaction network for further improving social recommend…

Filtering in a hazard rate change-point model with financial and life-insurance applications
Matteo Buttarazzi, Claudia Ceci
https://arxiv.org/abs/2505.13185

Filtering in a hazard rate change-point model with financial and life-insurance applications
This paper develops a continuous-time filtering framework for estimating a hazard rate subject to an unobservable change-point. This framework arises naturally in both financial and insurance applications, where the default intensity of a firm or the mortality rate of an individual may experience a sudden jump at an unobservable time, representing, for instance, a shift in the firm's risk profile or a deterioration in an individual's health status. By employing a progressive enlargement of filt…

Aparentemente quieren privacidad pero no mucha...
Simplemente mencionar una versión alternativa de #Android, como #Graphene, te bloquea. ¿No sabes lo que es? Te cuento ⏬
Estaban hablando sobre si iOS es mejor que Android en temas de privacidad, cosa que no es así, los dos son muy malos, basura, pero ha…

Returned from an expedition to the Lower Ice Lake ("Unterer Eissee") beneath Hallstätter Glacier #Dachstein #Austria with @…, Ulrike Herzschuh (both @…) and Jakob Korneli (@…). We wanted to take lake sediment cores to reconstruct the vegetation development of the last c. 130 years.
We previously did some avalanche rescue training. Unfortunately, the snow and avalanche conditions prevented us from reaching our destination, and we had to return.
Photo credits: Martina Schubert
#fieldWork #glacier #glacierForefield #biodiversity #ecology #succession #Alps #Mountains

This https://arxiv.org/abs/2505.13185 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qfi…

Filtering in a hazard rate change-point model with financial and life-insurance applications
This paper develops a continuous-time filtering framework for estimating a hazard rate subject to an unobservable change-point. This framework arises naturally in both financial and insurance applications, where the default intensity of a firm or the mortality rate of an individual may experience a sudden jump at an unobservable time, representing, for instance, a shift in the firm's risk profile or a deterioration in an individual's health status. By employing a progressive enlargement of filt…