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Asteroid General Data

2019 QQ3

General information

Preliminary designation2019 QQ3
GroupApollo
Absolute magnitude29.33
Approximate diameter (m)4
Approximate mass (kg)8.67·104
Number of observations21
Arc length (days)1

Approaches

Date
Object
r, AU
r, km
08/26/2019 03:07:12 PMEarth0.00063895 503
Details...

Orbit initial data

Date of initial data02/25/2023
M – mean anomaly (degrees)110.553326
a – orbit major semiaxis (astronomical units)1.97591192
e – orbit eccentricity0.66486336
ω – orbit ascending node-perihelion angle (degrees)277.867581
Ω – longitude of orbit ascending node (degrees)332.733963
i – orbit inclination to the ecliptic plane (degrees)7.257077
Details...

Orbital evolution

Date
M
a
e
ω
Ω
i
q
P
01/13/1829236.3558271.875036380.65353393266.869313340.4273577.3635800.649636482.567528
01/21/1858346.7387411.874471850.65466142268.052831339.3220887.3586940.647327452.566368
01/29/188798.5685441.873815900.65362546269.554783338.0157027.3487420.649042132.565021
02/07/1916216.3516461.871033840.65433192270.510641337.0851027.3459380.646756672.559311
02/14/1945334.8385441.871351960.65403779272.066751335.6982217.3452130.647417052.559964
02/22/197496.6062091.870459080.65399247272.997040334.8479737.3277400.647192922.558132
03/02/2003218.1813721.869497880.65417658274.563508333.4381217.3306440.646516152.556160
03/09/2032202.4194611.975501800.66572886278.161768332.4551567.2618340.660353232.776622
03/17/20612.8531261.974175730.66523631280.159669330.6493377.2901900.660882352.773827
03/25/2090170.4419181.975135880.66368305280.888117329.9051467.3005770.664271672.775851
04/03/2119337.7486291.971820450.66568669282.536821328.4039277.3286930.659205822.768864
04/10/2148149.0249811.970300050.66424151284.429896326.7272837.3611690.661544972.765662
04/18/2177329.5617031.969776230.66254972285.173706326.0085357.3779760.664701542.764560
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