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INPOP

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INPOP
NameINPOP
TypePlanetary ephemeris
DeveloperInstitut de Mécanique Céleste et de Calcul des Éphémérides
Initial release2002
Programming languagesFortran, C
LicenseProprietary/Scientific

INPOP is a planetary ephemeris and numerical integration package used for precise computation of the positions and motions of Solar System bodies. It supports spacecraft navigation, astrometry, timekeeping, and tests of gravitation by providing coordinates and dynamical parameters for planets, moons, asteroids, and spacecraft. INPOP development has interfaced with institutional efforts in celestial mechanics, space agencies, and observatories to support missions, timing standards, and fundamental physics.

Overview

INPOP provides high-precision ephemerides of Solar System bodies and related dynamical quantities for users in astronomy, planetary science, and space engineering. Its outputs are comparable to other ephemerides used by institutions such as Jet Propulsion Laboratory, European Space Agency, Roscosmos, Indian Space Research Organisation, and China National Space Administration. INPOP supports astrometric catalogs and observatories including Gaia, Hubble Space Telescope, Very Large Telescope, Arecibo Observatory, and Goldstone Deep Space Communications Complex for tracking and mission planning. Teams at institutes like Observatoire de Paris, IMCCE, CNES, NASA JPL, and Max Planck Institute for Solar System Research have engaged with INPOP data for analyses related to Mercury (planet), Venus, Earth, Mars, Jupiter, Saturn, Uranus, Neptune, and major satellites such as Galilean moons and Titan (moon).

Development and Versions

INPOP originated from collaborations among European research centers and has seen iterative versions released to incorporate new observations and models. Early releases paralleled updates to ephemerides like JPL DE430, DE440, EPM and VSOP. Subsequent versions integrated data from spacecraft missions including Mars Reconnaissance Orbiter, Mars Express, Cassini–Huygens, MESSENGER, BepiColombo, Juno (spacecraft), New Horizons, Pioneer 10, and Voyager 2. Improvements followed inputs from surveys and missions such as Hipparcos, Sloan Digital Sky Survey, Pan-STARRS, and NEOWISE. Institutional contributors and individual researchers affiliated with Université Paris-Saclay, CNRS, University of Pisa, Caltech, and Harvard-Smithsonian Center for Astrophysics participated in validation and intercomparison activities tied to conferences like International Astronomical Union symposia and workshops at European Space Operations Centre and Jet Propulsion Laboratory.

Methodology and Data Sources

INPOP performs numerical integration of the n-body problem using relativistic equations of motion compliant with frameworks adopted by International Astronomical Union resolutions and standards such as Barycentric Coordinate Time and Terrestrial Time. Its dynamical model includes perturbations from major planets, asteroids cataloged by Minor Planet Center, and mass parameters constrained by radar ranging, laser ranging, and spacecraft radiometric tracking from facilities like Goldstone Observatory, Canberra Deep Space Communications Complex, and European Space Agency Deep Space Antenna. Observational datasets incorporated include optical astrometry from Gaia Data Release, radio science from missions like Cassini and MESSENGER, lunar laser ranging from Apollo program retroreflector arrays, and planetary radar observations exemplified by work at Arecibo Observatory and Goldstone Solar System Radar. Parameter estimation uses least-squares fitting and covariance analysis techniques familiar in studies at Jet Propulsion Laboratory and Laboratoire de Physique Stellaire.

Applications and Uses

Users apply INPOP outputs for spacecraft trajectory design and navigation in missions such as Mars Reconnaissance Orbiter, Rosetta (spacecraft), BepiColombo, and JUICE (spacecraft). Planetary scientists use INPOP for orbit determination, impact probability assessment related to objects tracked by Minor Planet Center and NEODyS, and for interpretation of observations from facilities like Atacama Large Millimeter Array, Keck Observatory, and Subaru Telescope. INPOP supports timekeeping and realization of time scales in coordination with International Bureau of Weights and Measures, atomic clock networks at National Institute of Standards and Technology, and pulsar timing arrays such as Parkes Pulsar Timing Array and European Pulsar Timing Array. Fundamental physics tests employing INPOP include parameter estimation in the parametrized post-Newtonian formalism used in analyses related to General relativity, gravitational constant variability studies tied to Lunar Laser Ranging, and searches for anomalous precessions analogous to historical results from Mercury (planet) perihelion investigations.

Accuracy and Comparisons

INPOP is validated against radiometric tracking residuals, laser ranging residuals, and optical astrometric offsets, and is compared with other ephemerides products like JPL DE series, EPM ephemerides (IKI), and regional products from observatories. Reported uncertainties vary by body: inner planet positions benefit from dense radiometric data from missions such as MESSENGER and Venus Express, while outer planets rely on flyby and spacecraft encounters like Voyager 2 and Pioneer 10 for constraint. Small-body perturbations modeled using asteroid catalogues from Minor Planet Center and surveys like Pan-STARRS affect long-term integrations relevant to dynamical studies at institutes such as University of Pisa and Institute for Advanced Study. Comparative assessments occur in venues including American Astronomical Society meetings and International Astronautical Congress sessions.

Accessibility and Software Integration

INPOP outputs are distributed in formats compatible with navigation and analysis software used by Jet Propulsion Laboratory SPICE toolkit, mission design tools at European Space Agency, and orbit determination packages used by CNES and Roscosmos centers. Interfaces exist for languages and systems such as Fortran (programming language), C (programming language), Python (programming language), and data workflows integrating TOPCAT and visualization tools used at Centre National de la Recherche Scientifique. Collaborative access is facilitated via institutional repositories and through coordination with projects like Gaia, International Celestial Reference Frame efforts, and timekeeping services at Bureau International des Poids et Mesures.

Category:Planetary ephemerides