Naval Observatory Vector Astrometry Subroutines

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NOVAS
NOVAS logo
Developer(s) United States Naval Observatory
Stable release C3.1 (C version); F3.1 (Fortran version); Python Edition 3.1 / March 31, 2011 (C); March 31, 2011 (FORTRAN); June 30, 2011(Python)
Written in C/Fortran/Python
Platform Cross-platform (distributed in source code form)
Type Astrometry
Website http://aa.usno.navy.mil/software/novas/novas_info.php

The Naval Observatory Vector Astrometry Software (NOVAS) is a software library for astrometry-related numerical computations. It is developed by the Astronomical Applications Department, United States Naval Observatory. Currently, NOVAS has three different editions for C, Fortran, and Python, respectively.

Algorithms

The algorithms used by NOVAS are based on vector astrometry theories and the IAU resolutions. Instead of using trigonometric formulae from spherical astrometry, NOVAS uses the matrix and vector formulation which is more rigorous. This version implements the resolutions on astronomical reference systems and Earth rotation models passed at the IAU General Assemblies in 1997, 2000, and 2006. According to the Astronomical Applications Department, the algorithms used in NOVAS are identical to those used in the production of the US part of the Astronomical Almanac.[1]

A detailed description of the algorithms can be found here: Kaplan, et al. (1989) Astron. J. 97, 1197.[2]

Structure

The NOVAS library provides three levels of subroutines (functions): basic, utility, and supervisory.[1] Basic-level subroutines supply the values of fundamental variables, such as the nutation angles and the heliocentric positions of solar system bodies for specific epoches. Utility-level subroutines perform transformations, such as those caused by precession, nutation and aberration. Supervisory-level subroutines serve as interfaces to the basic and utility subroutines to compute the coordinates of stars or Solar System bodies for specific dates and times.

Usage

The NOVAS library can be linked by programs that work with positions of celestial bodies. For example, "Pocket Stars", an astronomy software for Smartphone and PDA platforms, used the NOVAS as its astrometry engine.[3]

A Python library, PyNOVAS, can be used to call NOVAS functions from Python. It uses SWIG to connect with the C version of NOVAS.[4]

Current status

A new version of NOVAS is being developed.[citation needed]

See also

References

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