Catalogue of the Solar System Small Bodies Orbital Evolution

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Asteroid General Data

2019 XQ3

General information

Preliminary designation2019 XQ3
GroupApollo
Absolute magnitude20.70
Approximate diameter (m)190
Approximate mass (kg)1.31·1010
Number of observations51
Arc length (days)5477

Approaches

No approaches found

Orbit initial data

Date of initial data06/09/2026
M – mean anomaly (degrees)223.535746
a – orbit major semiaxis (astronomical units)1.23658800
e – orbit eccentricity0.26021000
ω – orbit ascending node-perihelion angle (degrees)52.178544
Ω – longitude of orbit ascending node (degrees)88.480523
i – orbit inclination to the ecliptic plane (degrees)50.961130
Details...

Orbital evolution

Date
M
a
e
ω
Ω
i
q
P
01/13/1829239.6989961.240693650.2585005351.71651688.94444651.1033000.919973681.381966
01/21/1858242.1397571.240105500.2588207651.77944288.87535551.0991790.919140451.380984
01/29/1887249.4715621.239624960.2590709051.86502588.80869051.0953660.918474211.380181
02/07/1916260.1023991.239661500.2595844751.85428988.74064251.0864530.917864631.380242
02/14/1945269.3094941.240306070.2606527151.88344988.67456751.0720780.917016941.381319
02/22/1974272.9007411.240601930.2613340351.85512588.60765751.0621800.916390431.381813
03/02/2003273.3971531.240693200.2619020351.83692188.54085751.0568610.915753131.381966
03/09/2032274.8763451.240275470.2622121151.88544288.47479051.0550750.915060221.381268
03/17/2061282.6610851.239312930.2624695252.03984988.40440151.0536550.914031061.379660
03/25/2090295.3432771.239645800.2630403752.01194388.33707451.0435420.913568911.380216
04/03/2119304.9637381.239343290.2634738252.03738588.26702651.0378020.912808781.379711
04/10/2148317.0852751.239306140.2638972752.05560088.20109251.0294200.912256631.379649
04/18/2177324.2943471.240153130.2648813052.00125888.13103651.0125240.911659761.381063
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