# Automatic detection of tidal disruption events and other long duration transients in XMM-Newton data

## TL;DR

This paper proposes an automated pipeline for detecting and alerting transient X-ray events, especially tidal disruption events, in XMM-Newton data to enable timely follow-up observations and scientific insights.

## Contribution

It introduces a robust software system for automatic transient detection in XMM-Newton data, facilitating rapid follow-up of TDEs and other long-duration X-ray transients.

## Key findings

- Hundreds of TDEs detected serendipitously by XMM-Newton.
- Automated alerts could enable follow-up within weeks.
- Potential to discover intermediate-mass black holes.

## Abstract

XMM-Newton's large field of view and excellent sensitivity have resulted in hundreds of thousands of serendipitous X-ray detections. Whilst their spectra have been widely exploited, their variable nature has been little studied. Part of this is due to the way XMM-Newton currently operates, where observations generally have a 12 month proprietary period. It is often too late to follow-up a serendipitous transient a year after detection. New robust software could be introduced into the pipeline to automatically identify bright transients that are not the target of the observation. Statistically, hundreds of tidal disruption events (TDEs) have been detected serendipitously by XMM-Newton. With prior consent from the PI of the observation, an automatic alert to a new transient could be set up, allowing it to be followed-up within weeks, ideal for TDEs that are bright for about a year. Over the next decade, hundreds more TDEs should be detected. Following-up the brightest in quasi-real time would allow constraints to be made on the black hole mass, spin and accretion regime and identify intermediate-mass black holes that are expected to be hidden in faint, low-mass galaxies. This article discusses the advantages that such changes would have on the follow-up of transients and TDEs.