English
Related papers

Related papers: Variable Star Network: World Center for Transient …

200 papers

We propose a new method for solving an important problem of astronomy that arises in observations with ultrahigh-angular-resolution interferometers. This method is based on the application of the theory of artificial neural networks. We…

Instrumentation and Methods for Astrophysics · Physics 2019-06-26 Alexander Shatskiy , Ivan Evgeniev

Technology has advanced to the point that it is possible to image the entire sky every night and process the data in real time. The sky is hardly static: many interesting phenomena occur, including variable stationary objects such as stars…

Instrumentation and Methods for Astrophysics · Physics 2018-05-23 J. L. Tonry , L. Denneau , A. N. Heinze , B. Stalder , K. W. Smith , S. J. Smartt , C. W. Stubbs , H. J. Weiland , A. Rest

The World Space Observatory Project is a new space mission concept, grown out the needs of the Astronomical community to have access to the part of the electromagnetic spectrum where all known physics can be studied on all possible time…

We report on the methodology and first results from the Deep Lens Survey transient search. We utilize image subtraction on survey data to yield all sources of optical variability down to 24th magnitude. Images are analyzed immediately after…

In the last years, the need for automated real-time detection and classification of astronomical transients began to be more impelling. Better technologies involve a higher number of detected candidates and an automated classification will…

Instrumentation and Methods for Astrophysics · Physics 2021-05-04 Gianmario Broccia

Traditional microlensing event vetting methods require highly trained human experts, and the process is both complex and time-consuming. This reliance on manual inspection often leads to inefficiencies and constrains the ability to scale…

Visual attention modeling has recently gained momentum in developing visual hierarchies provided by Convolutional Neural Networks. Despite recent successes of feedforward processing on the abstraction of concepts form raw images, the…

Computer Vision and Pattern Recognition · Computer Science 2017-08-23 Mahdi Biparva , John Tsotsos

There has never been a more exciting time in the overlapping areas of nuclear physics, particle physics and relativistic astrophysics than today. Orbiting observatories such as the Hubble Space Telescope, Rossi X-ray Timing Explorer (RXTE),…

Astrophysics · Physics 2017-08-23 Fridolin Weber

With recent developments in imaging and computer technology the amount of available astronomical data has increased dramatically. Although most of these data sets are not dedicated to the study of variable stars much of it can, with the…

Instrumentation and Methods for Astrophysics · Physics 2013-10-03 Daniel M. Van Noord , Lawrence A. Molnar , Steven D. Steenwyk

The discovery of gravitational waves, high-energy neutrinos or the very-high-energy counterpart of gamma-ray bursts has revolutionized the high-energy and transient astrophysics community. The development of new instruments and analysis…

High Energy Astrophysical Phenomena · Physics 2021-06-09 Ž. Bošnjak , A. M. Brown , A. Carosi , M. Chernyakova , P. Cristofari , F. Longo , A. López-Oramas , M. Santander , K. Satalecka , F. Schüssler , O. Sergijenko , A. Stamerra , I. Agudo , R. Alves Batista , E. Amato , E. O. Anguner , L. A. Antonelli , M. Backes , Csaba Balazs , L. Baroncelli , J. Becker Tjus , C. Bigongiari , E. Bissaldi , C. Boisson , J. Bolmont , M. Böttcher , P. Bordas , C. Braiding , J. Bregeon , N. Bucciantini , A. Bulgarelli , M. Burton , F. Cangemi , P. Caraveo , M. Cardillo , S. Caroff , S. Casanova , S. Chaty , J. G. Coelho , G. Cotter , A. D'Aì , F. D'Ammando , E. M. de Gouveia Dal Pino , D. della Volpe , D. de Martino , T. Di Girolamo , A. Di Piano , A. Djannati-Ataï , V. Dwarkadas , E. de Ona Wilhelmi , R. C. Dos Anjos , G. Emery , E. Fedorova , S. Fegan , A. Fiasson , V. Fioretti , M. D. Filipovic , D. Gaggero , G. Galanti , D. Gasparrini , G. Ghirlanda , P. Goldoni , J. Granot , J. G. Green , M. Heller , B. Hnatyk , R. Hnatyk , D. Horan , T. Hovatta , S. Inoue , M. Jamrozy , D. Kantzas , B. Khélifi , N. Komin , A. Lamastra , N. La Palombara , J. P. Lenain , E. Lindfors , I. Liodakis , S. Lombardi , F. Lucarelli , P. L. Luque-Escamilla , P. Majumdar , A. Marcowith , S. Markoff , J. Marti , M. Martinez , D. Mazin , S. McKeague , S. Mereghetti , E. Mestre , T. Montaruli , G. Morlino , A. Morselli , C. Mundell , T. Murach , L. Nava , A. Nayerhoda , L. Nicastro , J. Niemiec , M. Nikolajuk , B. Olmi , R. Ong , M. Orienti , J. P. Osborne , Josep M. Paredes , G. Pareschi , N. Parmiggiani , B. Patricelli , A. Pe'er , G. Piano , G. Pühlhofer , M. Punch , O. Reimer , M. Ribó , G. Rodriguez , J. Rodriguez , P. Romano , G. Romeo , M. Roncadelli , G. Rowell , B. Rudak , I. Sadeh , F. Salesa Greus , F. G. Saturni , U. Sawangwit , M. Seglar-Arroyo , R. C. Shellard , H. Sol , R. Starling , T. Stolarczyk , G. Tagliaferri , F. Tavecchio , L. Tibaldo , V. Testa , S. Vercellone , A. Viana , J. Vink , V. Vitale , S. D. Vergani , S. Vorobiov , A. Wierzcholska , L. Yang , D. Zavrtanik , V. Zhdanov

This project outlines the complete development of a variable star classification algorithm methodology. With the advent of Big-Data in astronomy, professional astronomers are left with the problem of how to manage large amounts of data, and…

Instrumentation and Methods for Astrophysics · Physics 2020-09-01 Kyle Burton Johnston

Visible light optical coherence tomography (vis-OCT) is gaining traction for retinal imaging due to its high resolution and functional capabilities. However, the significant absorption of hemoglobin in the visible light range leads to…

Image and Video Processing · Electrical Eng. & Systems 2024-11-14 Razieh Ganjee , Bingjie Wang , Lingyun Wang , Chengcheng Zhao , José-Alain Sahel , Shaohua Pi

The Virtual Observatory has reached sufficient maturity for its routine scientific exploitation by astronomers. To prove this statement, here I present a brief description of the complete VO-powered PhD thesis entitled "Galactic and…

Instrumentation and Methods for Astrophysics · Physics 2010-01-12 Ivan Zolotukhin

Neutrino telescopes, an extension of traditional multiwavelength astronomy, provide a complementary view of the universe using neutrinos. Differences in detector geometry and detection medium mean that improvements to reconstruction…

High Energy Physics - Experiment · Physics 2025-01-08 Rasmus F. Ørsøe , Aske Rosted , GraphNeT Team

To search for optical counterparts to gravitational waves, it is crucial to develop an efficient follow-up method that allows for both a quick telescopic scan of the event localization region and search through the resulting image data for…

Instrumentation and Methods for Astrophysics · Physics 2021-08-25 Katarzyna Wardęga , Adam Zadrożny , Martin Beroiz , Richard Camuccio , Mario C. Díaz

Several classes of sources are known to emit different messengers. Among them, transient sources are a special case, due to their serendipitous occurrence, time variability and duration on different timescales. They are associated with…

This chapter provides an overview of the possibilities for transient and variable-source astrophysics with the Square Kilometre Array. While subsequent chapters focus on the astrophysics of individual events, we focus on the broader…

High Energy Astrophysical Phenomena · Physics 2015-07-06 Rob Fender , Adam Stewart , Jean-Pierre Macquart , Immacolata Donnarumma , Tara Murphy , Adam Deller , Zsolt Paragi , Shami Chatterjee

Interferometry in the optical and near infrared has so far played a marginal role in Extragalactic Astronomy. Active Galactic Nuclei are the brightest and most compact extragalactic sources, nonetheless only a very limited number could be…

Astrophysics · Physics 2009-11-07 Alessandro Marconi , Roberto Maiolino , Romain G. Petrov

In this paper, we propose a deep neural network architecture for object recognition based on recurrent neural networks. The proposed network, called ReNet, replaces the ubiquitous convolution+pooling layer of the deep convolutional neural…

Computer Vision and Pattern Recognition · Computer Science 2015-07-24 Francesco Visin , Kyle Kastner , Kyunghyun Cho , Matteo Matteucci , Aaron Courville , Yoshua Bengio