TL;DR
saprEMo is a simplified tool for predicting electromagnetic transient detections in sky surveys, aiding interpretation of multi-messenger astronomy data and optimizing observational strategies.
Contribution
introduces saprEMo, a simplified algorithm to predict electromagnetic transient detections, and demonstrates its application to neutron star merger models and survey data.
Findings
saprEMo constrains models of electromagnetic emission and event rates.
application to XMM-Newton and Chandra data shows consistency with predicted signals.
larger field of view significantly enhances transient detection prospects.
Abstract
The multi-wavelength detection of GW170817 has inaugurated multi-messenger astronomy. The next step consists in interpreting observations coming from population of gravitational wave sources. We introduce saprEMo, a tool aimed at predicting the number of electromagnetic signals characterised by a specific light curve and spectrum, expected in a particular sky survey. By looking at past surveys, saprEMo allows us to constrain models of electromagnetic emission or event rates. Applying saprEMo to proposed astronomical missions/observing campaigns provides a perspective on their scientific impact and tests the effect of adopting different observational strategies. For our first case study, we adopt a model of spindown-powered X-ray emission predicted for a binary neutron star merger producing a long-lived neutron star. We apply saprEMo on data collected by XMM-Newton and Chandra and during…
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