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Every field of Science is undergoing unprecedented changes in the discovery process, and Astronomy has been a main player in this transition since the beginning. The ongoing and future large and complex multi-messenger sky surveys impose a…

Instrumentation and Methods for Astrophysics · Physics 2021-05-12 Maurizio D'Addona , Giuseppe Riccio , Stefano Cavuoti , Crescenzo Tortora , Massimo Brescia

The Sloan Digital Sky Survey (SDSS) will provide the data to support detailed investigations of the distribution of luminous and non- luminous matter in the Universe: a photometrically and astrometrically calibrated digital imaging survey…

Astrophysics · Physics 2008-11-26 D. G. York

We present an update of the visible and near-infrared colour database of Minor Bodies in the Outer Solar System (MBOSSes), which now includes over 2000 measurement epochs of 555 objects, extracted from over 100 articles. The list is fairly…

Earth and Planetary Astrophysics · Physics 2015-06-11 O. R. Hainaut , H. Boehnhardt , S. Protopapa

We demonstrate the use of the AKARI survey photometric data in the study of galactic star formation. Our aim was to select young stellar objects (YSOs) in the AKARI FIS catalogue. We used AKARI Far-Infrared Surveyor and Wide-field Infrared…

We present the detection limits of a new survey for resolved low surface brightness satellite galaxies to the Milky Way, based on the Sloan Digital Sky Survey (SDSS). Our survey exploits SDSS's major strengths (multi-color photometry,…

In recent decades, large-scale sky surveys such as Sloan Digital Sky Survey (SDSS) have resulted in generation of tremendous amount of data. The classification of this enormous amount of data by astronomers is time consuming. To simplify…

Instrumentation and Methods for Astrophysics · Physics 2022-11-02 Sarvesh Gharat , Yogesh Dandawate

We study the nature of 39 unconfirmed supernovae (SNe) from the sky area covered by the Sloan Digital Sky Survey (SDSS) Data Release 8 (DR8), using available photometric and imaging data and intensive literature search. We confirm that 21…

Cosmology and Nongalactic Astrophysics · Physics 2013-07-23 L. S. Aramyan , A. R. Petrosian , A. A. Hakobyan , G. A. Mamon , D. Kunth , M. Turatto , V. Zh. Adibekyan , T. A. Nazaryan

(abridged) Stellar catalogues in five passbands (UBVRI) over an area of approximately 0.3 deg^2, comprising about 1200 objects, and in seven passbands (UBVRIJK) over approximately 0.1 deg^2, comprising about 400 objects, in the direction of…

The Sloan Digital Sky Survey has obtained images in five broad-band colors for several hundred square degrees. We present color-color diagrams for stellar objects, and demonstrate that quasars are easily distinguished from stars by their…

We present the first edition of the Sloan Digital Sky Survey (SDSS) Quasar Catalog. The catalog consists of the 3814 objects (3000 discovered by the SDSS) in the initial SDSS public data release that have at least one emission line with a…

This paper presents a study of the environments of SDSS Quasi-Stellar-Objects (QSOs) in the Spitzer Extragalactic Representative Volume Survey (SERVS). We concentrate on the high-redshift QSOs as these have not been studied in large numbers…

Object detection methods trained on a fixed set of known classes struggle to detect objects of unknown classes in the open-world setting. Current fixes involve adding approximate supervision with pseudo-labels corresponding to candidate…

Computer Vision and Pattern Recognition · Computer Science 2024-10-11 Mısra Yavuz , Fatma Güney

Bright galaxy-galaxy strong lenses are much more powerful than lensed quasars for measuring the mass profiles of galaxies, but until this year only a handful have been known. Here we present five new examples, identified via the optimal…

Astrophysics · Physics 2009-11-11 J. P. Willis , P. C. Hewett , S. J. Warren , S. Dye , N. Maddox

The Sloan Digital Sky Survey (SDSS) will carry out a digital photometric and spectroscopic survey over pi steradians in the northern Galactic cap. An array of CCD detectors used in drift-scan mode will image the sky in five passbands to a…

Astrophysics · Physics 2007-05-23 Jon Loveday , Jeff Pier

Using a machine learning (ML) method, we mine DB white dwarfs (DBWDs) from the Sloan Digital Sky Survey (SDSS) Data Release (DR) 12 and DR14. The ML method consists of two parts: feature extraction and classification. The least absolute…

Solar and Stellar Astrophysics · Physics 2018-07-11 Xiao Kong , A-Li Luo , Xiang-Ru Li , You-Fen Wang , Yin-Bi Li , Jing-Kun Zhao

Open World Object Detection (OWOD) is a novel and challenging computer vision task that enables object detection with the ability to detect unknown objects. Existing methods typically estimate the object likelihood with an additional…

Computer Vision and Pattern Recognition · Computer Science 2023-06-06 Yulin He , Wei Chen , Yusong Tan , Siqi Wang

Differences in clustering properties between galaxy subpopulations complicate the cosmological interpretation of the galaxy power spectrum, but can also provide insights about the physics underlying galaxy formation. To study the nature of…

Astrophysics · Physics 2008-11-26 Molly E. C. Swanson , Max Tegmark , Michael Blanton , Idit Zehavi

New spectra of 81 ultracool dwarfs (spectral types M7 and later) are discussed. Spectral classifications of 49 objects are available in the literature, while 32 objects are newly classified. The known spectral types were used to test an…

Solar and Stellar Astrophysics · Physics 2017-01-11 C. Koen , B. Miszalski , P. Väisänen , T. Koen

Open-set object detection (OSOD), a task involving the detection of unknown objects while accurately detecting known objects, has recently gained attention. However, we identify a fundamental issue with the problem formulation employed in…

Computer Vision and Pattern Recognition · Computer Science 2025-12-23 Yusuke Hosoya , Masanori Suganuma , Takayuki Okatani

Despite the importance of unsupervised object detection, to the best of our knowledge, there is no previous work addressing this problem. One main issue, widely known to the community, is that object boundaries derived only from 2D image…

Computer Vision and Pattern Recognition · Computer Science 2021-04-20 Hao Tian , Yuntao Chen , Jifeng Dai , Zhaoxiang Zhang , Xizhou Zhu
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