2017
DOI: 10.1088/1361-6382/aa68a9
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Detectability of compact binary merger macronovae

Abstract: We study the optical and near-infrared luminosities and detectability of radioactively powered electromagnetic transients ('macronovae') occuring in the aftermath of binary neutron star and neutron star black hole mergers. We explore the transients that result from the dynamic ejecta and those from different types of wind outflows. Based on full nuclear network simulations we calculate the resulting light curves in different wavelength bands. We scrutinize the robustness of the results by comparing a) two diff… Show more

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Cited by 173 publications
(253 citation statements)
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References 137 publications
(339 reference statements)
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“…Rosswog et al (2017) use semi-analytical models based on nuclear network simulations studying in detail the effect of the nuclear heating rate and ejecta electron fraction. The work of Rosswog et al (2017) shows in detail how lightcurve predictions change significantly for different nuclear physics parameters, e.g., the usage of different mass models.…”
Section: Kilonova Modelsmentioning
confidence: 99%
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“…Rosswog et al (2017) use semi-analytical models based on nuclear network simulations studying in detail the effect of the nuclear heating rate and ejecta electron fraction. The work of Rosswog et al (2017) shows in detail how lightcurve predictions change significantly for different nuclear physics parameters, e.g., the usage of different mass models.…”
Section: Kilonova Modelsmentioning
confidence: 99%
“…Rosswog et al (2017) employ both time dependent and constant efficiencies and use a more complex density profile. The model picked from Rosswog et al (2017) shows a smaller bolometric luminosity than other models, notice, however, that as shown in Rosswog et al (2017) the usage of different mass models effects the luminosity by about ≈ 600%, i.e., all presented models come with large uncertainties and crucially depent on nuclear physics assumptions.…”
Section: Luminosity Predictionsmentioning
confidence: 99%
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