Artikel
Open Access
Discovery, Observational Data and the Orbit of the Transneptunian Object (420356) Praamžius
-
K. Černis
,
R. P. Boyle
Veröffentlicht/Copyright:
1. Februar 2017
Received: 2016-5-5
Accepted: 2016-5-25
Published Online: 2017-2-1
Published in Print: 2016-6-1
© 2016 K. Černis et al., published by De Gruyter Open
Artikel in diesem Heft
- Revealing the Network of Periodic Orbits in Galaxy Models with a Prolate or an Oblate Dark Matter Halo Component
- Classifying Orbits of Low and High Energy Stars in Axisymmetric Disk Galaxies
- Luminosity-Environment Relation in the Lowz Sample of the SDSS-III
- Observational Data and Orbits of the Asteroids Discovered at the Molėtai Observatory in 2005–2007
- The Potentially Hazardous Asteroid 2000 SG344
- Discovery, Observational Data and the Orbit of the Transneptunian Object (420356) Praamžius
- The Surface Density of Haloes
- Improvements on a Unified Dark Matter Model
- Depressed Emission between Magnetic Arcades near a Sunspot
- The Study of Radio Flux Density Variations of the Quasar OJ 287 by the Wavelet and the Singular Spectrum Methods
Schlagwörter für diesen Artikel
minor planets;
asteroids: astrometry;
photometry;
orbits – minor planets;
asteroids: Transneptunian objects: individual: (420356) Praamžius)
Creative Commons
BY-NC-ND 3.0
Artikel in diesem Heft
- Revealing the Network of Periodic Orbits in Galaxy Models with a Prolate or an Oblate Dark Matter Halo Component
- Classifying Orbits of Low and High Energy Stars in Axisymmetric Disk Galaxies
- Luminosity-Environment Relation in the Lowz Sample of the SDSS-III
- Observational Data and Orbits of the Asteroids Discovered at the Molėtai Observatory in 2005–2007
- The Potentially Hazardous Asteroid 2000 SG344
- Discovery, Observational Data and the Orbit of the Transneptunian Object (420356) Praamžius
- The Surface Density of Haloes
- Improvements on a Unified Dark Matter Model
- Depressed Emission between Magnetic Arcades near a Sunspot
- The Study of Radio Flux Density Variations of the Quasar OJ 287 by the Wavelet and the Singular Spectrum Methods
