# Conducting the SONG: The robotic nature and efficiency of a fully automated telescope

## TL;DR

This paper describes 'the Conductor', a Python-based automated software system that manages all operations of the SONG robotic telescope, enabling fully autonomous observations with high efficiency and minimal human intervention.

## Contribution

Introduction of 'the Conductor', a comprehensive automated control system that streamlines target selection, observation execution, and data management for the SONG telescope.

## Key findings

- The SONG telescope operates as a highly efficient robotic facility.
- The Conductor automates target selection based on weather and technical constraints.
- The system reduces human intervention, increasing observational flexibility.

## Abstract

We present a description of "the Conductor", an automated software package which handles all observations at the first Stellar Observations Network Group (SONG) node telescope at the Teide Observatory on the island of Tenerife. The idea was to provide a complete description on the automated procedures for target selection and execution of observations and to demonstrate how the SONG robotic telescope is being operated. The Conductor is a software package developed in Python and running on a server in Aarhus which makes use of a large set of database tables through which it communicates with the SONG nodes. Based on a number of selection criteria the Conductor is able to identify the optimum target to be observed at any given moment taking into account local weather conditions and technical constraints. The Conductor has made it possible for the Hertzsprung SONG telescope to become a highly sophisticated and efficient robotic telescopic facility without human interaction. It can handle everything from Principal Investigators submitting their proposed targets with specific settings to the data being available for download after the observations has been carried out. At present, and thanks to the availability of the Conductor, the first node of the SONG project can be considered a world leading robotic telescope with respect to needed human interactions, efficiency and flexibility in observing strategy.