Tootfinder

Steady on Caron, this is a family show/ #TOTP

🇺🇦 #NowPlaying on #BBC6Music's #LaurenLaverne
Soul II Soul:
🎵 Back to Life (However Do You Want Me) (feat. Caron Wheeler)
#SoulIISoul
https://soul-2-soul.bandcamp.com/album/back-to-life-house-remixes
https://open.spotify.com/track/7vvRkLPIvfjjmCIqNxBuEZ

BGRem: A background noise remover for astronomical images based on a diffusion model
R. Nicolaas, S. Caron, F. Stoppa, S. Bhattacharyya, R. Ruiz de Austri, P. J. Groot, A. J. Levan
https://arxiv.org/abs/2510.04718

BGRem: A background noise remover for astronomical images based on a diffusion model
Context: Astronomical imaging aims to maximize signal capture while minimizing noise. Enhancing the signal-to-noise ratio directly on detectors is difficult and expensive, leading to extensive research in advanced post-processing techniques. Aims: Removing background noise from images is a valuable pre-processing step catalog-building tasks. We introduce BGRem, a machine learning (ML) based tool to remove background noise from astronomical images. Methods: BGRem uses a diffusion-based model…

TrackFormers Part 2: Enhanced Transformer-Based Models for High-Energy Physics Track Reconstruction
Sascha Caron, Nadezhda Dobreva, Maarten Kimpel, Uraz Odyurt, Slav Pshenov, Roberto Ruiz de Austri Bazan, Eugene Shalugin, Zef Wolffs, Yue Zhao
https://arxiv.org/abs/2509.26411

TrackFormers Part 2: Enhanced Transformer-Based Models for High-Energy Physics Track Reconstruction
High-Energy Physics experiments are rapidly escalating in generated data volume, a trend that will intensify with the upcoming High-Luminosity LHC upgrade. This surge in data necessitates critical revisions across the data processing pipeline, with particle track reconstruction being a prime candidate for improvement. In our previous work, we introduced "TrackFormers", a collection of Transformer-based one-shot encoder-only models that effectively associate hits with expected tracks. In this st…

Towards a foundation model for astrophysical source detection: An End-to-End Gamma-Ray Data Analysis Pipeline Using Deep Learning
Judit P\'erez-Romero, Saptashwa Bhattacharyya, Sascha Caron, Dmitry Malyshev, Rodney Nicolas, Giacomo Principe, Zoja Rokavec, Roberto Ruiz de Austri, Danijel Sko\v{c}aj, Fiorenzo Stoppa, Domen Tabernik, Gabrijela Zaharijas
https:…

Towards a foundation model for astrophysical source detection: An End-to-End Gamma-Ray Data Analysis Pipeline Using Deep Learning
The increasing volume of gamma-ray data demands new analysis approaches that can handle large-scale datasets while providing robustness for source detection. We present a Deep Learning (DL) based pipeline for detection, localization, and characterization of gamma-ray sources. We extend our AutoSourceID (ASID) method, initially tested with \textit{Fermi}-LAT simulated data and optical data (MeerLICHT), to Cherenkov Telescope Array Observatory (CTAO) simulated data. This end-to-end pipeline demon…

🇺🇦 #NowPlaying on #BBC6Music's #6MusicsJukebox
Soul II Soul:
🎵 Keep on Movin' (feat. Caron Wheeler)
#SoulIISoul
https://djprincenorway.bandcamp.com/track/soul-ii-soul-keep-on-movin-dj-prince-no-remix
https://open.spotify.com/track/7upgDi9C0pQn9HZzGfksJq