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Related papers: VOSA: Virtual Observatory SED Analyzer. An applica…

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The VISTA Variables in the Via Lactea (VVV) survey obtained near-infrared photometry toward the Galactic bulge and the southern disc plane for a decade (2010 - 2019). We designed a modified Lomb-Scargle method to search for large-amplitude…

Thanks to the VISTA Variables in the Via Lactea (VVV) ESO Public Survey it is now possible to explore a large number of objects in those regions. This paper addresses the variability analysis of all VVV point sources having more than 10…

The ability to push large objects in a goal-directed manner using onboard egocentric perception is an essential skill for humanoid robots to perform complex tasks such as material handling in warehouses. To robustly manipulate heavy objects…

The Virtual Telescope for X-ray Observations (VTXO) will use lightweight Phase Frensel Lenses (PFLs) in a virtual X-ray telescope with 1 km focal length and with nearly 50 milli-arcsecond angular resolution. Laboratory characterization of…

The Astrophysical Virtual Observatory (AVO) initiative, jointly funded by the European Commission and six European organisations, had the task of creating the foundations of a regional scale infrastructure by conducting a research and…

Astrophysics · Physics 2007-05-23 P. Padovani

Open clusters are key coeval structures that help us understand star formation, stellar evolution and trace the physical properties of our Galaxy. In the past years, the isolation of open clusters from the field has been heavily alleviated…

Independent of established data centers, and partly for my own research, I have been collecting the tabular data from nearly 1500 articles concerned with radio sources. Optical character recognition (OCR) was used to recover tables from…

Cosmology and Nongalactic Astrophysics · Physics 2014-11-20 H. Andernach

Existing LiDAR 3D object detection methods predominantely rely on sparse convolutions and/or transformers, which can be challenging to run on resource-constrained edge devices, due to irregular memory access patterns and high computational…

Computer Vision and Pattern Recognition · Computer Science 2026-05-15 Shizhong Han , Hsin-Pai Cheng , Hong Cai , Jihad Masri , Soyeb Nagori , Fatih Porikli

Variability Search Toolkit (VaST) is a software package designed to find variable objects in a series of sky images. It can be run from a script or interactively using its graphical interface. VaST relies on source list matching as opposed…

Instrumentation and Methods for Astrophysics · Physics 2017-12-19 Kirill V. Sokolovsky , Alexandr A. Lebedev

Event-based cameras are bio-inspired sensors with pixels that independently and asynchronously respond to brightness changes at microsecond resolution, offering the potential to handle state estimation tasks involving motion blur and high…

Robotics · Computer Science 2025-09-11 Sheng Zhong , Junkai Niu , Yi Zhou

Context. Determining stellar characteristics such as the radius, the mass or the age is crucial when studying stellar evolution, exoplanetary systems or characterising stellar populations in the Galaxy. Asteroseismology is the golden path…

Solar and Stellar Astrophysics · Physics 2015-01-28 Gaël Buldgen , Daniel Roy Reese , Marc-Antoine Dupret , Réza Samadi

In the era of big data astronomy, next generation telescopes and large sky surveys produce data sets at the TB or even PB level. Due to their large data volumes, these astronomical data sets are extremely difficult to transfer and analyze…

We present the Gaia-Groundbased Observational Service for Asteroids (GOSA). Gaia-GOSA is an interactive tool which supports observers in planning photometric observations of asteroids. Each user is able to personalise the observation plan…

Instrumentation and Methods for Astrophysics · Physics 2015-05-15 T. Santana-Ros , P. Bartczak , T. Michałowski

Breakthroughs in visual odometry (VO) have fundamentally reshaped the landscape of robotics, enabling ultra-precise camera state estimation that is crucial for modern autonomous systems. Despite these advances, many learning-based VO…

Computer Vision and Pattern Recognition · Computer Science 2026-01-26 Chi-Yao Huang , Zeel Bhatt , Yezhou Yang

Vector Symbolic Architectures combine a high-dimensional vector space with a set of carefully designed operators in order to perform symbolic computations with large numerical vectors. Major goals are the exploitation of their…

Artificial Intelligence · Computer Science 2021-12-17 Kenny Schlegel , Peer Neubert , Peter Protzel

Just as the astronomical "Time Domain" is a catch-phrase for a diverse group of different science objectives involving time-varying phenomena in all astrophysical regimes from the solar system to cosmological scales, so the "Virtual…

Instrumentation and Methods for Astrophysics · Physics 2015-06-03 Rob Seaman , Roy Williams , Matthew Graham , Tara Murphy

The European Open Science Cloud (EOSC) is in its early stages, but already some aspects of the EOSC vision are starting to become reality, for example the EOSC portal and the development of metadata catalogues. In the astrophysical domain…

An essential capability of the Virtual Observatory is a means for describing what data and computational facilities are available where, and once identified, how to use them. The data themselves have associated metadata (e.g., FITS…

Instrumentation and Methods for Astrophysics · Physics 2019-05-22 Robert Hanisch , the IVOA Resource Registry Working Group , the NVO Metadata Working Group

The Collaborative Analysis Versioning Environment System (CAVES) project concentrates on the interactions between users performing data and/or computing intensive analyses on large data sets, as encountered in many contemporary scientific…

Data Analysis, Statistics and Probability · Physics 2007-05-23 Dimitri Bourilkov

The Observatory Science Operations (OSO) subsystem of the SKAO consists of a range of complex tools which will be used to propose, design, schedule and execute observations. Bridging the gap between the science and telescope domains is the…

Instrumentation and Methods for Astrophysics · Physics 2024-07-25 Thaddeus Kenny , Stewart J. Williams , Viivi Pursiainen , Elizabeth S. Bartlett , Brendan McCollam , Andrew D. Biggs , Sean Ellis , Rupert Lung