Robotic observation pipeline for small bodies in the solar system based on open-source software and commercially available telescope hardware

TL;DR

This paper introduces a fully robotic, open-source pipeline that automates the planning, scheduling, and observation of small bodies in the solar system, enhancing follow-up capabilities for amateur and professional astronomers.

Contribution

It presents a novel integrated robotic system extending KStars/Ekos for automated NEO observation planning, scheduling, and data acquisition using commercially available hardware.

Findings

Automated selection and prioritization of NEO candidates.

Optimized observation scheduling based on real-time conditions.

Successful implementation of a complete robotic observation pipeline.

Abstract

The observation of small bodies in the Space Environment is an ongoing important task in astronomy. While nowadays new objects are mostly detected in larger sky surveys, several follow-up observations are usually needed for each object to improve the accuracy of orbit determination. In particular objects orbiting close to Earth, so called Near-Earth Objects are of special concern as a small but not negligible fraction of them can have a non-zero impact probability with Earth. Telescopes are often hosted by amateur observatories. With upcoming new NEO search campaigns by very wide field of view telescopes, like the Vera C. Rubin Observatory, NASA's NEO surveyor space mission and ESA's Flyeye telescopes, the number of NEO discoveries will increase dramatically. This will require an increasing number of useful telescopes for follow-up observations at different geographical locations. While well-equipped amateur astronomers often host instruments which might be capable of creating useful measurements, both observation planning and scheduling, and also analysis are still a major challenge for many observers. In this work we present a fully robotic planning, scheduling and observation pipeline that extends the widely used open-source cross-platform software KStars/Ekos for INDI devices. The method consists of algorithms which automatically select NEO candidates with priority according to ESA's NEOCC. It then analyses detectable objects (based on limiting magnitudes, geographical position, and time) with preliminary ephemeris from the Minor Planet Center. Optimal observing slots during the night are calculated and scheduled. Immediately before the measurement the accurate position of the minor body is recalculated and finally the images are taken. Besides the detailed description of all components, we will show a complete robotic hard- and software solution based on our methods.