Tootfinder

🇺🇦 Auf radioeins läuft...
Fever Ray:
🎵 Mama's Hand
#NowPlaying #FeverRay
https://hobonoisemusic.bandcamp.com/track/fever-ray-mamas-hand-hobo-noise-remix
https://open.spotify.com/track/0EpME4IMeFu53YJc2IkVDC

Observation and Modeling of Small Spatial Structures of Solar Radio Noise Storms using the uGMRT
Surajit Mondal, Peijin Zhang, Devojyoti Kansabanik, Divya Oberoi, Gillian Pearce
https://arxiv.org/abs/2507.08093

Observation and Modeling of Small Spatial Structures of Solar Radio Noise Storms using the uGMRT
One of the most commonly observed solar radio sources in the metric and decametric wavelengths is the solar noise storm. These are generally associated with active regions and are believed to be powered by the plasma emission mechanism. Since plasma emission emits primarily at the fundamental and harmonic of the local plasma frequency, it is significantly affected by density inhomogeneities in the solar corona. The source can become significantly scatter-broadened due to the multi-path propagat…

Determining the orientation of radio antennas at the South Pole using Galactic noise measurements
Paras Koundal (for the IceCube Collaboration), Valeria Torres-Gomez (for the IceCube Collaboration)
https://arxiv.org/abs/2507.07224

Determining the orientation of radio antennas at the South Pole using Galactic noise measurements
The IceCube Neutrino Observatory is a multi-messenger observatory at the South Pole. As preparation for an enhancement of its surface array, IceTop, a prototype station consisting of elevated scintillation panels and radio antennas has been installed and is operating since 2020. The radio antennas detect emissions from cosmic-ray-induced air showers, and their precise orientation is essential for an accurate reconstruction of the air-shower properties. This work presents a novel method to deter…

A Multi-Scale Feature Extraction and Fusion UNet for Pathloss Prediction in UAV-Assisted mmWave Radio Networks
Sajjad Hussain
https://arxiv.org/abs/2509.09606 https://

A Multi-Scale Feature Extraction and Fusion UNet for Pathloss Prediction in UAV-Assisted mmWave Radio Networks
Accurate pathloss prediction is essential for the design and optimization of UAV-assisted millimeter-wave (mmWave) networks. While deep learning approaches have shown strong potential, their generalization across diverse environments, robustness to noisy inputs, and sensitivity to UAV altitude remain underexplored. To address these challenges, we propose a UNet-based deep learning architecture that combines multi-scale feature extraction, convolution-based feature fusion, and an atrous spatial …

Impact of Labeling Inaccuracy and Image Noise on Tooth Segmentation in Panoramic Radiographs using Federated, Centralized and Local Learning
Johan Andreas Balle Rubak, Khuram Naveed, Sanyam Jain, Lukas Esterle, Alexandros Iosifidis, Ruben Pauwels
https://arxiv.org/abs/2509.06553

Impact of Labeling Inaccuracy and Image Noise on Tooth Segmentation in Panoramic Radiographs using Federated, Centralized and Local Learning
Objectives: Federated learning (FL) may mitigate privacy constraints, heterogeneous data quality, and inconsistent labeling in dental diagnostic AI. We compared FL with centralized (CL) and local learning (LL) for tooth segmentation in panoramic radiographs across multiple data corruption scenarios. Methods: An Attention U-Net was trained on 2066 radiographs from six institutions across four settings: baseline (unaltered data); label manipulation (dilated/missing annotations); image-quality man…

Denoising radio pulses from air showers using machine-learning methods
Aur\'elien Benoit-L\'evy (for the GRAND Collaboration), Zhisen Lai (for the GRAND Collaboration), Oscar Macias (for the GRAND Collaboration), Ars\`ene Ferri\`ere (for the GRAND Collaboration)
https://arxiv.org/abs/2507.06688

Denoising radio pulses from air showers using machine-learning methods
The Giant Radio Array for Neutrino Detection (GRAND) aims to detect radio signals from extensive air showers (EAS) caused by ultra-high-energy (UHE) cosmic particles. Galactic, hardware-like, and anthropogenic noise are expected to contaminate these signals. To address this problem, we propose training a supervised convolutional network known as an encoder-decoder. This network is used to learn a coded representation of the data and remove specific features from it. This denoiser is trained usi…

Pushchino Multibeam Pulsar Search. VIII. Pulsar with a period of 40.9~s in observations of the LPA LPI
S. A. Tyul'bashev, G. E. Tyul'basheva, S. A. Andrianov, M. A. Kitaeva
https://arxiv.org/abs/2508.06983

Pushchino Multibeam Pulsar Search. VIII. Pulsar with a period of 40.9~s in observations of the LPA LPI
A search has been carried out for the pulsar J0311+1402, which has a period of $P = 40.9$ s, in the data archive of the Large Phased Array (LPA) radio telescope. When searching using fast folding algorithm (FFA), periodic pulsar radiation at a frequency of 111 MHz was not detected. In 3321 observation sessions lasting 5 minutes, 35 strong pulses were detected with a signal-to-noise ratio (S/N) greater than 10. Some of the pulses have a complex multi-peak structure consisting of narrow details, …

🇺🇦 Auf radioeins läuft...
The Art Of Noise:
🎵 Peter Gunn
#NowPlaying #TheArtOfNoise
https://djhazemnabil.bandcamp.com/track/peter-gunn-the-twang-mix
https://open.spotify.com/track/1MeMfXuGPbO4qWVFZ1MeAV

Noise Reduction Method for Radio Astronomy Single Station Observation Based on Wavelet Transform and Mathematical Morphology
Ming-wei Qin, Rui Tang, Ying-hui Zhou, Chang-jun Lan, Wen-hao Fu, Huan Wang, Bao-lin Hou, Zamri, Jin-song Ping, Wen-jun Yang, Liang Dong
https://arxiv.org/abs/2508.00386

Noise Reduction Method for Radio Astronomy Single Station Observation Based on Wavelet Transform and Mathematical Morphology
The 21 cm radiation of neutral hydrogen provides crucial information for studying the early universe and its evolution. To advance this research, countries have made significant investments in constructing large low-frequency radio telescope arrays, such as the Low Frequency Array (LOFAR) and the Square Kilometre Array Phase 1 Low Frequency (SKA1-low). These instruments are pivotal for radio astronomy research. However, challenges such as ionospheric plasma interference, ambient radio noise, an…

Observation of Broadband In-ice Radiation from Impacting High-Energy Cosmic Rays
Philipp Windischhofer (for the ARA Collaboration), Nathaniel Alden (for the ARA Collaboration)
https://arxiv.org/abs/2507.06151

Observation of Broadband In-ice Radiation from Impacting High-Energy Cosmic Rays
We present the first experimental evidence for in-ice radiofrequency emission from high-energy particle cascades developing in the Antarctic ice sheet. In 208 days of data recorded with the phased-array trigger of the Askaryan Radio Array, we detect 13 events with impulsive radiofrequency pulses originating from below the ice surface. Considering only the arrival angles and timing properties, this rate is inconsistent with an a-posteriori background expectation for thermal noise events and on-s…