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Radar systems are mainly used for tracking aircraft, missiles, satellites, and watercraft. In many cases, information regarding the objects detected by the radar system is sent to, and used by, a peripheral consuming system, such as a…

Cryptography and Security · Computer Science 2021-06-15 Shai Cohen , Efrat Levy , Avi Shaked , Tair Cohen , Yuval Elovici , Asaf Shabtai

Dipper stars are extrinsically variable stars with deep dimming events due to extended, often dusty, structures produced by a wide range of mechanisms such as collisions, protoplanetary evolution or stellar winds. ASAS-SN has discovered 12…

Solar and Stellar Astrophysics · Physics 2026-02-10 B. JoHantgen , D. M. Rowan , R. Forés-Toribio , C. S. Kochanek , K. Z. Stanek , B. J. Shappee , Subo Dong , J. L. Prieto , Todd A. Thompson

The Astrophysical Multimessenger Observatory Network (AMON) receives subthreshold data from multiple observatories in order to look for coincidences. Combining more than two datasets at the same time is challenging because of the range of…

High Energy Astrophysical Phenomena · Physics 2022-09-21 T. Gregoire , H. A. Ayala Solares , S. Coutu , D. Cowen , J. J. DeLaunay , D. B. Fox , A. Keivani , F. Krauss , M. Mostafá , K. Murase , E. Neights , C. F. Turley

Near-Earth Objects (NEOs) that orbit the Sun on or within Earth's orbit are tricky to detect for Earth-based observers due to their proximity to the Sun in the sky. These small bodies hold clues to the dynamical history of the inner solar…

The aim of this paper is to investigate ways to optimize the accuracy of photometric redshifts for a SNAP like mission. We focus on how the accuracy of the photometric redshifts depends on the magnitude limit and signal-to-noise ratio,…

Anomaly detection algorithms are often thought to be limited because they don't facilitate the process of validating results performed by domain experts. In Contrast, deep learning algorithms for anomaly detection, such as autoencoders,…

Machine Learning · Computer Science 2020-07-02 Liat Antwarg , Ronnie Mindlin Miller , Bracha Shapira , Lior Rokach

We conducted a survey of nearby binary systems composed of main sequence stars of spectral types F and G in order to improve our understanding of the hierarchical nature of multiple star systems. Using Robo-AO, the first robotic adaptive…

Automated techniques have been developed to automate the process of classification of objects or their analysis. The large datasets provided by upcoming spectroscopic surveys with dedicated telescopes urges scientists to use these automated…

Astrophysics · Physics 2009-06-23 Mahdi Bazarghan , Ranjan Gupta

We propose a new sequential classification model for astronomical objects based on a recurrent convolutional neural network (RCNN) which uses sequences of images as inputs. This approach avoids the computation of light curves or difference…

Seventy-five billion low-mass stars in our galaxy host at least one small planet in their habitable zone (HZ). The stellar ultraviolet (UV) radiation received by the planets is strong and highly variable, and has consequences for…

We derive photometric redshifts (\zp) for sources in the entire ($\sim0.4$ deg$^2$) Hawaii-Hubble Deep Field-North (\hdfn) field with the EAzY code, based on point spread function-matched photometry of 15 broad bands from the ultraviolet…

Automating real-time anomaly detection is essential for identifying rare transients, with modern survey telescopes generating tens of thousands of alerts per night, and future telescopes, such as the Vera C. Rubin Observatory, projected to…

Instrumentation and Methods for Astrophysics · Physics 2025-01-03 Rithwik Gupta , Daniel Muthukrishna , Michelle Lochner

This paper proposes a fully Bayesian framework for node-level outlier detection in graph signals, where measurements are observed on the nodes of an underlying graph. Unlike traditional outlier detection methods, our approach accounts for…

Methodology · Statistics 2026-04-17 Seongmin Kim , Kyusoon Kim

The Transiting Exoplanet Survey Satellite (TESS) mission has provided photometric light curves for stars across nearly the entire sky. This allows for the application of asteroseismology to a pool of potential solar-like oscillators that is…

Solar flares are defined as outbursts on the surface of the Sun. They occur when energy accumulated in magnetic fields enclosing solar active regions (ARs) is abruptly expelled. Solar flares and associated coronal mass ejections are sources…

Solar and Stellar Astrophysics · Physics 2025-02-24 Huseyin Cavus , Jason T. L. Wang , Teja P. S. Singampalli , Gani Caglar Coban , Hongyang Zhang , Abd-ur Raheem , Haimin Wang

We introduce in this work the Solar System Object Search Service (SSOSS), a service aimed at providing the scientific community with a search service for all potential detections of SSOs among the ESA astronomy archival imaging data. We…

The discovery of binaries in each of the major populations of minor bodies in the solar system is propelling a rapid growth of heretofore unattainable physical information. The availability of mass and density constraints for minor bodies…

Astrophysics · Physics 2009-11-11 Keith S. Noll

We describe in detail how perturbations due to the planets can cause a sub-population of WIMPs captured by scattering in surface layers of the Sun to evolve to have orbits which no longer intersect the Sun. We argue that such WIMPs, if…

Astrophysics · Physics 2009-10-30 Thibault Damour , Lawrence M. Krauss

The Kepler survey provides a statistical census of planetary systems out to the habitable zone. Because most planets are non-transiting, orbital architectures are best estimated using simulated observations of ensemble populations. Here, we…

Earth and Planetary Astrophysics · Physics 2018-07-11 Gijs D. Mulders , Ilaria Pascucci , Daniel Apai , Fred J. Ciesla

Sensor placement for the purpose of detecting/tracking news outbreak and preventing rumor spreading is a challenging problem in a large scale online social network (OSN). This problem is a kind of subset selection problem: choosing a small…

Social and Information Networks · Computer Science 2013-12-09 Junzhou Zhao , John C. S. Lui , Don Towsley , Xiaohong Guan , Pinghui Wang