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We present a description of the observations and data reduction procedures for an extensive spectroscopic and multi-band photometric study of nine high redshift, optically-selected cluster candidates. The primary goal of the survey is to…

Astrophysics · Physics 2009-10-30 J. B. Oke , Marc Postman , Lori Lubin

The new planet finder for the Very Large Telescope (VLT), the Spectro-Polarimetric High-contrast Exoplanet REsearch (SPHERE), just had its first light in Paranal. A dedicated instrument for the direct detection of planets, SPHERE, is…

Increasing our knowledge of the orbits and compositions of Near-Earth Objects (NEOs) is important for a better understanding of the evolution of the Solar System and of life. The detection of serendipitous NEO appearances among the millions…

Among the group of extrasolar planets, transiting planets provide a great opportunity to obtain direct measurements for the basic physical properties, such as mass and radius of these objects. These planets are therefore highly important in…

Instrumentation and Methods for Astrophysics · Physics 2009-06-19 András Pál

In this work, we present SoFT: Solar Feature Tracking, a novel feature-tracking tool developed in Python and designed to detect, identify, and track magnetic elements in the solar atmosphere. It relies on a watershed segmentation algorithm…

Solar and Stellar Astrophysics · Physics 2024-12-10 M. Berretti , M. Stangalini , S. Mestici , D. B. Jess , S. Jafarzadeh , F. Berrilli

We present a community-led assessment of the solar system investigations achievable with NASA's next-generation space telescope, the Wide Field InfraRed Survey Telescope (WFIRST). WFIRST will provide imaging, spectroscopic, and…

Context. Studies of galaxy pairs can provide valuable information to jointly understand the formation and evolution of galaxies and galaxy groups. Consequently, taking into account the new high precision photo-z surveys, it is important to…

We have carried out a systematic search for galaxy-scale strong lenses in multiband imaging from the Hyper Suprime-Cam (HSC) survey. Our automated pipeline, based on realistic strong-lens simulations, deep neural network classification, and…

Effective Edge AI for space object detection (SOD) tasks that can facilitate real-time collision assessment and avoidance is essential with the increasing space assets in near-Earth orbits. In SOD, low Earth orbit (LEO) satellites must…

Computer Vision and Pattern Recognition · Computer Science 2025-05-21 Wenxuan Zhang , Peng Hu

Existing and planned optical telescopes and surveys can detect artificially-illuminated objects comparable in total brightness to a major terrestrial city out to the outskirts of the Solar System. Orbital parameters of Kuiper belt objects…

Earth and Planetary Astrophysics · Physics 2015-06-03 Abraham Loeb , Edwin L. Turner

Object detection is one of the fundamental objectives in Applied Computer Vision. In some of the applications, object detection becomes very challenging such as in the case of satellite image processing. Satellite image processing has…

Computer Vision and Pattern Recognition · Computer Science 2021-04-26 Arsalan Tahir , Muhammad Adil , Arslan Ali

We propose and evaluate the feasibility of a new strategy to search for planets via microlensing. This new strategy is designed to detect planets in "wide" orbits, i.e., with orbital separation, $a$ greater than $\sim 1.5 R_E$. Planets in…

Astrophysics · Physics 2009-10-30 Rosanne Di Stefano , Richard A. Scalzo

Microlensing is able to reveal multiple body systems located several kilo-parsec away from the Earth. Since it does not require the measurement of light from the lens, microlensing is sensitive to a range of objects from free-floating…

Earth and Planetary Astrophysics · Physics 2018-10-17 E. Bachelet , J. -P. Beaulieu , I. Boisse , A. Santerne , R. A. Street

The Einstein rings and proper motions of nearby stars tend to be large. Thus, every year some foreground stars within a few hundred parsecs of Earth induce gravitational lensing events in background stars. In some of these cases, the events…

Earth and Planetary Astrophysics · Physics 2015-06-04 Rosanne Di Stefano , James Matthews , Sebastien Lepine

Salient object detection (SOD), which aims to identify and locate the most salient pixels or regions in images, has been attracting more and more interest due to its various real-world applications. However, this vision task is quite…

Computer Vision and Pattern Recognition · Computer Science 2019-01-23 Pingping Zhang , Wei Liu , Huchuan Lu , Chunhua Shen

Recent high-contrast imaging surveys, looking for planets in young, nearby systems showed evidence of a small number of giant planets at relatively large separation beyond typically 20 au where those surveys are the most sensitive. Access…

Conventional open-world object detection (OWOD) problem setting first distinguishes known and unknown classes and then later incrementally learns the unknown objects when introduced with labels in the subsequent tasks. However, the current…

Computer Vision and Pattern Recognition · Computer Science 2024-04-15 Sahal Shaji Mullappilly , Abhishek Singh Gehlot , Rao Muhammad Anwer , Fahad Shahbaz Khan , Hisham Cholakkal

Among the methods proposed to detect extrasolar planets, microlensing is the only technique that can detect free-floating planets. Free-floating planets are detected through the channel of short-duration isolated lensing events. However, if…

Astrophysics · Physics 2009-11-11 Cheongho Han

Direct imaging is a tried and tested method of detecting exoplanets in the near infrared, but has so far not been extended to longer wavelengths. New data at mid-IR wavelengths (8-20{\mu}m) canprovide additional constraints on planetary…

Earth and Planetary Astrophysics · Physics 2019-11-14 D. J. M. Petit dit de la Roche , M. E. van den Ancker , M. Kissler-Patig , V. D. Ivanov , D. Fedele

Open-set object detection (OSOD) aims to detect the known categories and reject unknown objects in a dynamic world, which has achieved significant attention. However, previous approaches only consider this problem in data-abundant…

Computer Vision and Pattern Recognition · Computer Science 2024-02-23 Binyi Su , Hua Zhang , Jingzhi Li , Zhong Zhou