C/2015 O1 PANSTARRS
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Comet C/2015 O1 was discovered on 19 July 2015 with Pan-STARRS 1 telescope (Haleakala), that is about  months after its perihelion passage.

Some prediscovery images of this comet were found: taken on 15 and 17 of June 2015 by Space Surveillance Telescope (Atom Site).

Solutions given here are based on data spanning over 4.76 yr in a range of heliocentric distances: 8.65 au – 3.730 au (perihelion) – 7.28 au.

NG orbits using full data-arc as well as independently using pre-perihelion and post-perihelion data are determinable.

See also Królikowska and Dones 2023.
solution description
number of observations 4142
data interval 2015 06 15 – 2020 03 20
data type perihelion within the observation arc (FULL)
data arc selection entire data set (STD)
range of heliocentric distances 8.65 au – 3.73 au (perihelion) – 7.28 au
detectability of NG effects in the comet's motion comet with NG effects strongly manifested in positional data fitting
type of model of motion GR - gravitational orbit
data weighting YES
number of residuals 8242
RMS [arcseconds] 0.95
orbit quality class 1a+
orbital elements (heliocentric ecliptic J2000)
Epoch 2018 03 23
perihelion date 2018 02 19.03628514 ± 0.00009528
perihelion distance [au] 3.72974503 ± 0.00000051
eccentricity 1.00010452 ± 0.00000108
argument of perihelion [°] 89.596132 ± 0.000016
ascending node [°] 299.857320 ± 0.000007
inclination [°] 127.210859 ± 0.000005
reciprocal semi-major axis [10-6 au-1] -28.02 ± 0.29
Upper panel: Time distribution of positional observations with corresponding heliocentric (red curve) and geocentric (green curve) distance at which they were taken. The horizontal dotted line shows the perihelion distance for a given comet whereas vertical dotted line — the moment of perihelion passage.
Middle panel(s): O-C diagram for a given solution (sometimes in comparison to another solution available in CODE), where residuals in right ascension are shown using magenta dots and in declination by blue open circles.
Lowest panel: Relative weights for a given data set(s).