Catalogue of the Solar System Small Bodies Orbital Evolution

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Asteroid General Data

2023 HK3

General information

Preliminary designation2023 HK3
GroupApollo
Absolute magnitude27.93
Approximate diameter (m)7
Approximate mass (kg)6.00·105
Number of observations26
Arc length (days)4

Approaches

No approaches found

Orbit initial data

Date of initial data06/09/2026
M – mean anomaly (degrees)8.110508
a – orbit major semiaxis (astronomical units)1.30409700
e – orbit eccentricity0.26865300
ω – orbit ascending node-perihelion angle (degrees)280.543229
Ω – longitude of orbit ascending node (degrees)339.650175
i – orbit inclination to the ecliptic plane (degrees)0.296221
Details...

Orbital evolution

Date
M
a
e
ω
Ω
i
q
P
01/13/182918.7337281.307970850.27023341248.30118510.7486870.2993860.954513431.495883
01/21/1858211.1814121.301365140.26777116258.834117359.2146690.3224680.952897091.484566
01/29/188740.3738871.306214620.26950100260.776160356.8744970.3140600.954188471.492871
02/07/1916218.3015101.303349940.26837621260.413629357.4239070.3077250.953561821.487963
02/14/194537.2566601.304599890.26887345260.585886357.4054510.3039110.953827621.490104
02/22/1974124.5587621.315996180.27338279270.642915348.4528070.3426890.956225481.509672
03/02/2003204.7092891.315946170.27337567270.317076348.8295790.3374040.956198511.509586
03/09/2032318.3543761.303621120.26845089280.612434339.5748580.2955160.953662871.488428
03/17/2061140.1247181.303288130.26845848281.059494339.1975870.2919460.953409381.487857
03/25/2090294.0499251.315119550.27292439284.918759336.4158790.3090310.956191351.508164
04/03/211915.4456131.316032430.27339162285.459821335.9415590.3065070.956240201.509734
04/10/214897.2264041.315487660.27311075284.887112336.5959750.2986820.956213841.508797
04/18/2177229.8893241.304363940.26893365292.341365330.0298660.2806050.953576581.489700
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