Catalogue of the Solar System Small Bodies Orbital Evolution

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Asteroid General Data

2023 GX2

General information

Preliminary designation2023 GX2
GroupApollo
Absolute magnitude27.51
Approximate diameter (m)8
Approximate mass (kg)1.07·106
Number of observations14
Arc length (days)2

Approaches

No approaches found

Orbit initial data

Date of initial data06/09/2026
M – mean anomaly (degrees)93.081992
a – orbit major semiaxis (astronomical units)1.28609700
e – orbit eccentricity0.28655600
ω – orbit ascending node-perihelion angle (degrees)305.716538
Ω – longitude of orbit ascending node (degrees)197.310219
i – orbit inclination to the ecliptic plane (degrees)6.738690
Details...

Orbital evolution

Date
M
a
e
ω
Ω
i
q
P
01/13/1829310.9626111.279354470.28555119302.357081199.3970956.5627810.914033281.447061
01/21/1858348.0943901.277114440.28460515302.406299199.0326886.5968560.913641101.443263
01/29/188733.2406481.275926640.28411837302.771272198.7123786.6025060.913412441.441249
02/07/191663.7335901.281629720.28551191303.909369198.4086056.6960220.915709181.450923
02/14/194563.1191951.281861410.28558037304.242012198.1316996.6990080.915786951.451317
02/22/197466.2336731.280866430.28525299304.466171197.8568296.7103680.915495451.449627
03/02/200376.3393781.280372100.28490007304.702177197.6061016.7228960.915594011.448788
03/09/203270.9889371.286476910.28675903305.747675197.2859676.7455130.917568041.459162
03/17/206130.5018241.286566330.28674666306.116649196.9850146.7520740.917647731.459314
03/25/2090358.1805371.284362750.28572958306.130783196.7435506.7795510.917382321.455567
04/03/2119320.7150021.286180580.28631424306.635974196.4505126.7832060.917928761.458658
04/10/2148281.8771181.285758260.28618509306.920302196.1851866.7944620.917793421.457940
04/18/2177248.2101121.285706850.28613751307.265331195.9707766.7996370.917817901.457852
Detailed table... Graphs... 3D animation... Calculation on the date...

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This project was supported by the Federal Agency of Education (project codes RNP 2.1.1.1689, RNP 2.1.1.745).
Samara State Technical University
Applied Mathematics and Information Science Department
Яндекс.Метрика