Ready for EURONEAR NEA surveys using the NEARBY moving source detection platform

Văduvescu, O.; Gorgan, Dorian; Copandean, Denisa; Bacu, Victor; Ștefănuț, Teodor; Sabou, Adrian; Nandra, Constantin; Boldea, Costin Radu; Pintėr, V.; Popescu, M.; Petrescu, Elisabeta; Berteşteanu, D.; Davison, Thomas; Toledo, Felipe; Boldea, Afrodita Liliana; Predatu, M.; Zegmott, Tarik; Wilson, T. G.; Hudin, L.; Stanescu, M.; Stănică, Adrian; Buhulea, A.; Stoica, Adrian; Timpea, A.; Anghel, Simon; Ciobanu, D.; Toma, R.; Casanova, V.; Stecklum, B.; Choque-Challapa, N.; Short, P.; Tudorica, A.

doi:10.1016/j.newast.2021.101600

Cited by 4 publications

(2 citation statements)

References 22 publications

(23 reference statements)

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“…Beginning in December 2017, the development resumed on a new design, an open-source modular library, called Um-brella2, that would be much more flexible and overcome the shortcomings of SourceUmbrella. In particular, due to the low detection rate of Umbrella2 on trailed objects, and taking into account that another similar software developed for the EU-RONEAR project, NEARBY [4] [18], would not detect trailed objects either, the development focused more on trail object detection. In that sense, in February 2018, a new line segment detection algorithm was designed, based on the Hough Transform [13], to detect long and faint NEA trails (SV-AFAV-HT, i.e.…”

Section: History Of the Projectmentioning

confidence: 99%

The Umbrella software suite for automated asteroid detection

Stanescu,

Vaduvescu

2020

Preprint

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We present the Umbrella software suite for asteroid detection, validation, identification and reporting. The current core of Umbrella is an opensource modular library, called Umbrella2, that includes algorithms and interfaces for all steps of the processing pipeline, including a novel detection algorithm for faint trails. Building on the library, we have also implemented a detection pipeline accessible both as a desktop program (ViaNearby) and via a web server (Webrella), which we have successfully used in near real-time data reduction of a few asteroid surveys on the Wide Field Camera of the Isaac Newton Telescope. In this paper we describe the library, focusing on the interfaces and algorithms available, and we present the results obtained with the desktop version on a set of well-curated fields used by the EURONEAR project as an asteroid detection benchmark.

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Section: History Of the Projectmentioning

confidence: 99%

The Umbrella software suite for automated asteroid detection

Stanescu,

Vaduvescu

2020

Preprint

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“…Our second project, Mega-Precovery, and few related tools have gathered 112 instrument archives in the Mega-Archive Structured Query Language (SQL) database, a meta-data collection holding more than 16 million images able to search immediately for one given known or unknown moving (Solar System) object or any fixed (stellar or extra-galactic) object (Vaduvescu et al 2020). This big data mining resource is similar to the Canadian Solar System Object Image Search (SSOIS) 2 A&A proofs: manuscript no.…”

Section: Introductionmentioning

confidence: 99%

Dozens of virtual impactor orbits eliminated by the EURONEAR VIMP DECam data mining project

Vaduvescu,

Curelaru,

Popescu

et al. 2020

Preprint

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Context. Massive data mining of image archives observed with large etendue facilities represents a great opportunity for orbital amelioration of poorly known virtual impactor asteroids (VIs). There are more than 1000 VIs known today; most of them have very short observed arcs and many are considered lost as they became extremely faint soon after discovery. Aims. We aim to improve the orbits of VIs and eliminate their status by data mining the existing image archives. Methods. Within the European Near Earth Asteroids Research (EURONEAR) project, we developed the Virtual Impactor search using Mega-Precovery (VIMP) software, which is endowed with a very effective (fast and accurate) algorithm to predict apparitions of candidate pairs for subsequent guided human search. Considering a simple geometric model, the VIMP algorithm searches for any possible intersection in space and time between the positional uncertainty of any VI and the bounding sky projection of any image archive.Results. We applied VIMP to mine the data of 451,914 Blanco/DECam images observed between 12 September 2012 and 11 July 2019, identifying 212 VIs that possibly fall into 1286 candidate images leading to either precovery or recovery events. Following a careful search of candidate images, we recovered and measured 54 VIs in 183 DECam images. About 4,000 impact orbits were eliminated from both lists, 27 VIs were removed from at least one list, while 14 objects were eliminated from both lists. The faintest detections were around V∼24.0, while the majority fall between 21

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