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  1. OA@INAF
  2. PRODOTTI RICERCA INAF
  3. 1 CONTRIBUTI IN RIVISTE (Journal articles)
  4. 1.01 Articoli in rivista
Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12386/29155
Title: SAPREMO: a simplified algorithm for predicting detections of electromagnetic transients in surveys
Authors: Vinciguerra, S.
Branchesi, M.
CIOLFI, RICCARDO 
Mandel, I.
Neijssel, C. J.
STRATTA, MARIA GIULIANA 
Issue Date: 2019
Journal: MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY 
Number: 484
Issue: 1
First Page: 332
Abstract: The multiwavelength detection of GW170817 has inaugurated multimessenger 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 characterized 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 spin-down-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 10<SUP>4 </SUP>s of observations with the mission concept THESEUS. We demonstrate that our emission model and binary neutron star merger rate imply the presence of some signals in the XMM-Newton catalogues. We also show that the new class of X-ray transients found by Bauer et al. in the Chandra Deep Field-South is marginally consistent with the expected rate. Finally, by studying the mission concept THESEUS, we demonstrate the substantial impact of a much larger field of view in searches of X-ray transients.
URI: http://hdl.handle.net/20.500.12386/29155
URL: https://academic.oup.com/mnras/article-abstract/484/1/332/5256663?redirectedFrom=fulltext
ISSN: 0035-8711
DOI: 10.1093/mnras/sty3490
Bibcode ADS: 2019MNRAS.484..332V
Fulltext: open
Appears in Collections:1.01 Articoli in rivista

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