Results 51 to 60 of about 9,733 (158)

Deep Learning Techniques for Astronomical Object Classification

, 2022
As there are an infinite number of deep space objects, it is crucial to differentiate those space objects such as stars, galaxies, or quasars in recent or upcoming deep astronomical surveys. This task becomes very difficult because of the tedious procedure for separation between edgy and expanded sources, which makes this classification problem a ...
openaire   +1 more source

Introduction to astronomical spectroscopy [PDF]

, 2013
"The book introduces graduate students and young researchers of astronomy and physics to the techniques and methods of astronomical spectroscopy. It covers spectroscopic methods in all branches of astronomy, including optical astronomy, radio astronomy ...
Appenzeller, I. 1940-, ProQuest (Firm)
core  

Investigating UAP Events Using Astronomical Techniques

Limina - The Journal of UAP Studies
The most important procedures about the scientific investigation of Unidentified Aerial Phenomena (UAP) using astronomy-like methods are conceptually presented and discussed, where results obtained in the past are triggering the proposal for new observational sessions using multiwavelength and multimode instruments.
openaire   +1 more source

Subspace Techniques for Radio-Astronomical Data Enhancement

, 2008
Radio astronomical observations have very poor signal to noise ratios, unlike in other disciplines. On the other hand, it is possible to observe the object of interest for long time intervals as well as using a wider bandwidth. Traditionally, by averaging in time and in frequency, it has been possible to improve the signal to noise ratio of ...
openaire   +2 more sources

Rotational Characterization of Four-Ring Polycyclic Aromatic Hydrocarbons: Toward the Detection of Fluoranthene and Cyanofluoranthene in Space. [PDF]

J Phys Chem Lett
Villar-Castro D, Cabezas C, Steber AL, Morán JR, de la Fuente S, Hussain FS, Pérez D, Lesarri A, Cernicharo J, Pérez C, Peña I.   +10 more
europepmc   +1 more source

DIPLI: deep image prior lucky imaging for blind astronomical image restoration. [PDF]

Sci Rep
Singh S, Batsheva A, Rogov OY, Bouridane A.   +3 more
europepmc   +1 more source

FRELLED Reloaded: Multiple techniques for astronomical data visualisation in Blender

Astronomy and Computing
Accepted for publication in Astronomy & Computing.
openaire   +2 more sources

Attention-Enhanced GAN for Astronomical Image Restoration Under Atmospheric Turbulence and Optical Aberrations. [PDF]

Sensors (Basel)
Peng C, Li J, Bao J, Luo L.
europepmc   +1 more source

Ensemble Deep Learning for Real-Bogus Classification with Sky Survey Images. [PDF]

Biomimetics (Basel)
Prommool P, Chucherd S, Iam-On N, Boongoen T.   +3 more
europepmc   +1 more source

An AI approach to lunar phase detection: enhancing the identification of the new crescent with astronomical data integration. [PDF]

Front Artif Intell
Al-Rajab M, Loucif S, Zitar RA, Abdu-Aguye MG.   +3 more
europepmc   +1 more source