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In a search scenario, nuclear background spectra are continuously measured in short acquisition intervals with a mobile detector-spectrometer. Detecting sources from measured data is difficult because of low signal to noise ratio (S/N) of…

Data Analysis, Statistics and Probability · Physics 2014-11-18 Marvin Weinstein , Alexander Heifetz , Raymond Klann

A new cluster type shower array NEVOD-EAS is designed for estimating the size, axis position and arrival direction of extensive air showers registered by the Cherenkov water detector NEVOD and coordinate detector DECOR (Moscow, Russia). In…

Multivariate time series data come as a collection of time series describing different aspects of a certain temporal phenomenon. Anomaly detection in this type of data constitutes a challenging problem yet with numerous applications in…

Artificial Intelligence · Computer Science 2025-11-12 Jinbo Li , Hesam Izakian , Witold Pedrycz , Iqbal Jamal

The primary aim of ANTARES is neutrino astronomy with upward going muons created in charged current muon neutrino interactions in the detector and its surroundings. Downward going muons are background for neutrino searches. These muons are…

Instrumentation and Methods for Astrophysics · Physics 2016-08-14 J. A. Aguilar , I. Al. Samarai , A. Albert , M. André , M. Anghinolfi , G. Anton , S. Anvar , M. Ardid , A. C. Assis Jesus , T. Astraatmadja , J. J. Aubert , B. Baret , S. Basa , V. Bertin , S. Biagi , A. Bigi , C. Bigongiari , C. Bogazzi , M. Bou-Cabo , B. Bouhou , M. C. Bouwhuis , J. Brunner , J. Busto , F. Camarena , A. Capone , C. Carloganu , G. Carminati , J. Carr , S. Cecchini , Z. Charif , P. Charvis , T. Chiarusi , M. Circella , R. Coniglione , H. Costantini , P. Coyle , C. Curtil , M. P. Decowski , I. Dekeyser , A. Deschamps , C. Distefano , C. Donzaud , D. Dornic , Q. Dorosti , D. Drouhin , T. Eberl , U. Emanuele , A. Enzenhöfer , J. P. Ernenwein , S. Escoffier , P. Fermani , M. Ferri , V. Flaminio , F. Folger , U. Fritsch , J. L. Fuda , S. Galatà , P. Gay , G. Giacomelli , V. Giordano , J. P. Gómez-González , K. Graf , G. Guillard , G. Halladjian , G. Hallewell , H. van Haren , J. Hartman , A. J. Heijboer , Y. Hello , J. J. Hernández-Rey , B. Herold , J. Hößl , C. C. Hsu , M. de Jong , M. Kadler , O. Kalekin , A. Kappes , U. Katz , O. Kavatsyuk , P. Kooijman , C. Kopper , A. Kouchner , I. Kreykenbohm , V. Kulikovskiy , R. Lahmann , P. Lamare , G. Larosa , D. Lattuada , D. Lefèvre , G. Lim , D. Lo Presti , H. Loehner , S. Loucatos , S. Mangano , M. Marcelin , A. Margiotta , J. A. Martinez-Mora , A. Meli , T. Montaruli , L. Moscoso , H. Motz , M. Neff , E. Nezri , D. Palioselitis , G. E. Păvălaş , K. Payet , P. Payre , J. Petrovic , P. Piattelli , N. Picot-Clemente , V. Popa , T. Pradier , E. Presani , C. Racca , C. Reed , C. Richardt , R. Richter , C. Rivière , A. Robert , K. Roensch , A. Rostovtsev , J. Ruiz-Rivas , M. Rujoiu , G. V. Russo , F. Salesa , P. Sapienza , F. Schöck , J. P. Schuller , F. Schüssler , R. Shanidze , F. Simeone , A. Spies , M. Spurio , J. J. M. Steijger , T. Stolarczyk , A. Sánchez-Losa , M. Taiuti , C. Tamburini , S. Toscano , B. Vallage , V. Van Elewyck , G. Vannoni , M. Vecchi , P. Vernin , G. Wijnker , J. Wilms , E. de Wolf , H. Yepes , D. Zaborov , J. D. Zornoza , J. Zúñiga

Emergency response applications for nuclear or radiological events can be significantly improved via deep feature learning due to the hidden complexity of the data and models involved. In this paper we present a novel methodology for rapid…

Machine Learning · Computer Science 2018-04-02 I. A. Klampanos , A. Davvetas , S. Andronopoulos , C. Pappas , A. Ikonomopoulos , V. Karkaletsis

Density based spatial clustering of points in $\mathbb{R}^n$ has a myriad of applications in a variety of industries. We generalise this problem to the density based clustering of lines in high-dimensional spaces, keeping in mind there…

Machine Learning · Computer Science 2024-10-04 Akanksha Das , Malay Bhattacharyya

High energy cosmic-rays generate air showers when they enter Earth's atmosphere. Ground-based gamma-ray astronomy is possible using either direct detection of shower particles at mountain altitudes, or with arrays of imaging air-Cherenkov…

Instrumentation and Methods for Astrophysics · Physics 2025-02-27 Clara Escañuela Nieves , Felix Werner , Jim Hinton

DBSCAN is a well-known density-based clustering algorithm to discover arbitrary shape clusters. While conceptually simple in serial, the algorithm is challenging to efficiently parallelize on manycore GPU architectures. Common pitfalls,…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-06-30 Andrey Prokopenko , Damien Lebrun-Grandie , Daniel Arndt

We report on the successful detection of extensive air showers (EAS) generated by ultra-high-energy cosmic rays using a small-aperture fluorescence telescope (FT) deployed at the Mount Aragats high-altitude research station. The instrument…

Instrumentation and Methods for Astrophysics · Physics 2026-05-07 M. Zotov , A. Trusov , P. Klimov , K. Asatryan , A. Belov , G. Gabaryan , V. Kudryavtsev , A. Murashov

Context. Several authors predicted an outburst of the Draconid meteor shower in 2018, but with an uncertain level of activity. Aims. Optical meteor observations were used to derive the population and mass indices, flux, and radiant…

Earth and Planetary Astrophysics · Physics 2020-04-01 Denis Vida , Margaret Campbell-Brown , Peter G. Brown , Auriane Egal , Michael J. Mazur

We use a deep neural network to detect and place region-of-interest boxes around ultracold atom clouds in absorption and fluorescence images---with the ability to identify and bound multiple clouds within a single image. The neural network…

Quantum Gases · Physics 2021-08-03 Lucas R. Hofer , Milan Krstajić , Péter Juhász , Anna L. Marchant , Robert P. Smith

This paper presents a real-time method to detect and track multiple mobile ground robots using event cameras. The method uses density-based spatial clustering of applications with noise (DBSCAN) to detect the robots and a single…

Computer Vision and Pattern Recognition · Computer Science 2021-08-04 Himanshu Patel , Craig Iaboni , Deepan Lobo , Ji-won Choi , Pramod Abichandani

Results will be shown from the ASTRONEU array developed and operated in the outskirts of Patras, Greece. An array of 9 scintillator detectors and 3 antennas were deployed to study Extensive Air Showers (EAS) as a tool for calibrating an…

Clustering algorithms are fundamental tools across many fields, with density-based methods offering particular advantages in identifying arbitrarily shaped clusters and handling noise. However, their effectiveness is often limited by the…

Machine Learning · Computer Science 2025-12-01 Meysam Shirdel Bilehsavar , Razieh Ghaedi , Samira Seyed Taheri , Xinqi Fan , Christian O'Reilly

We propose DSC-Flow-Iter, a new community detection algorithm that is based on iterative extraction of dense subgraphs. Although DSC-Flow-Iter leaves many nodes unclustered, it is competitive with leading methods and has high-precision and…

Social and Information Networks · Computer Science 2025-09-03 The-Anh Vu-Le , João Alfredo Cardoso Lamy , Tomás Alessi , Ian Chen , Minhyuk Park , Elfarouk Harb , George Chacko , Tandy Warnow

The detection of air-shower events via radio signals requires to develop a trigger algorithm for a clean discrimination between signal and background events in order to reduce the data stream coming from false triggers. In this contribution…

Instrumentation and Methods for Astrophysics · Physics 2018-12-11 Florian Führer , Tom Charnock , Anne Zilles , Matias Tueros

The robust and automated determination of crystal symmetry is of utmost importance in material characterization and analysis. Recent studies have shown that deep learning (DL) methods can effectively reveal the correlations between X-ray or…

Computational Physics · Physics 2020-05-27 Leslie Ching Ow Tiong , Jeongrae Kim , Sang Soo Han , Donghun Kim

We present the first cluster catalogue extracted from the UKIRT Infrared Deep Sky Survey Early Data Release. The catalogue is created using UKIDSS Ultra Deep Survey infrared J and K data combined with 3.6 micro-m and 4.5 micro-m Spitzer…

The origin of ultra-high-energy cosmic rays (UHECRs) is one of the intriguing mysteries in astroparticle physics. In order to identify their sources, we need precise knowledge of the mass composition of UHECRs. The direct detection of…

Instrumentation and Methods for Astrophysics · Physics 2025-09-15 Steffen Hahn

LiDAR-based 3D object detection models have traditionally struggled under rainy conditions due to the degraded and noisy scanning signals. Previous research has attempted to address this by simulating the noise from rain to improve the…

Computer Vision and Pattern Recognition · Computer Science 2024-02-29 Xun Huang , Hai Wu , Xin Li , Xiaoliang Fan , Chenglu Wen , Cheng Wang