LOgging UnifieD for ASTRI Mini Array

TL;DR

This paper presents LOUD, a logging system designed for the ASTRI Mini-Array, utilizing IoT technologies to efficiently collect, filter, and store log events across distributed telescope components.

Contribution

The paper introduces the LOUD architecture and software stack tailored for distributed environments in high-energy astrophysics observatories.

Findings

Effective collection and filtering of log events across multiple telescopes.

Implementation of IoT technologies for distributed logging.

Enhanced monitoring capabilities for the ASTRI Mini-Array.

Abstract

The ASTRI (Astrofisica con Specchi a Tecnologia Replicante Italiana) Mini-Array (MA) project is an international collaboration led by the Italian National Institute for Astrophysics (INAF). ASTRI MA is composed of nine Cherenkov telescopes operating in the energy range 1-100 TeV, and it aims to study very high-energy gamma ray astrophysics and optical intensity interferometry of bright stars. ASTRI MA is currently under construction, and will be installed at the site of the Teide Observatory in Tenerife (Spain). The hardware and software system that is responsible of monitoring and controlling all the operations carried out at the ASTRI MA site is the Supervision Control and Data Acquisition (SCADA). The LOgging UnifieD (LOUD) subsystem is one of the main components of SCADA. It provides the service responsible for collecting, filtering, exposing and storing log events collected by all the array elements (telescopes, LIDAR, devices, etc.). In this paper, we present the LOUD architecture and the software stack explicitly designed for distributed computing environments exploiting Internet of Things technologies (IoT).