The AFISS web platform for the correlation of high-energy transient events

TL;DR

The paper presents the development of AFISS, a web platform that facilitates real-time sharing and correlation of high-energy transient event data from multiple satellites to enhance multi-messenger astrophysics research.

Contribution

It introduces a web-based system integrating real-time analysis and correlation of transient events, including sub-threshold events, from high-energy satellites for improved scientific collaboration.

Findings

Successful implementation of the AFISS platform

Real-time visualization of transient events and correlations

Enhanced detection of multi-messenger transient phenomena

Abstract

In the multi-messenger era, facilities share their results with the scientific community through networks such as the General Coordinates Network to study transient phenomena (e.g., Gamma-ray bursts) and implement real-time analysis pipelines to detect transient events, reacting to science alerts received from other observatories. The fast analysis of transient events is crucial for detecting counterparts of gravitational waves and neutrino candidate events. In this context, collecting scientific results from different high-energy satellites observing the same transient event represents a key step in improving the statistical significance of the high-energy candidate events. This project aims to develop a system and a web platform to share information and scientific results of transient events between high-energy satellites with INAF participation (AGILE, FERMI, INTEGRAL and SWIFT). The AFISS platform implements the COMET VO- Event broker and provides a web portal where the users visualize the list of transient events detected by multi-messenger facilities and received through the GCN. The web portal could show, for each event, a summary of the scientific results shared by the real-time analysis pipelines and a list of time-correlated transient events. In addition, the platform is ready to receive results from participating facilities on sub-threshold events (STE) that cannot be shared with the community due to the low statistical significance. If the platform finds a time correlation between two or more STEs, it can promote them to science alerts. The web interface shows the list of STEs with possible time correlation with other STEs or science alerts. The platform notifies the users with an email when a new transient event is received.