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20162026
most citedNeural networks reconstruction of the dense-matter equation of state from neutron-star parameters

61 citations · 123 across the 6 of their papers we have counts for

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5 papers · 1 filter

astro-ph.HE2026

Modelling mountains on accreting magnetized neutron stars

T. Brusco, B. Haskell, M. Razzano +2

Continuous gravitational waves from accreting neutron stars in Low Mass X-ray Binaries are one of the main targets for current and next generation ground based detectors. In order…

astro-ph.HE2022★ 12 cited

Detecting dense-matter phase transition signatures in neutron star mass-radius measurements as data anomalies using normalising flows

Filip Morawski, Michał Bejger

Observations of neutron stars may be used to study aspects of extremely dense matter, specifically a possibility of phase transitions to exotic states, such as de-confined quarks.…

astro-ph.HE2020★ 61 cited

Neural networks reconstruction of the dense-matter equation of state from neutron-star parameters

Filip Morawski, Michał Bejger

Aims: The aim of this work is to study the application of the artificial neural networks guided by the autoencoder architecture as a method for precise reconstruction of the neutro…

astro-ph.HE2018

Fundamental physics and the absence of sub-millisecond pulsars

B. Haskell, J. L. Zdunik, M. Fortin +3

Observations of the spin distribution of rapidly rotating neutron stars show evidence for a lack of stars spinning at frequencies larger than Hz, well below the pred…

astro-ph.HE2016★ 50 cited

Consequences of a strong phase transition in the dense matter equation of state for the rotational evolution of neutron stars

M. Bejger, D. Blaschke, P. Haensel +2

We explore the implications of a strong first-order phase transition region in the dense matter equation of state in the interiors of rotating neutron stars, and the resulting crea…