activity
20172020
most citedDouble neutron stars: merger rates revisited

204 citations · 293 across the 3 of their papers we have counts for

collaborators

6 papers

astro-ph.SR2020

It has to be cool: on supergiant progenitors of binary black hole mergers from common-envelope evolution

J. Klencki, G. Nelemans, A. G. Istrate +1

Common-envelope (CE) evolution in massive binary systems is thought to be one of the most promising channels for the formation of compact binary mergers. In the case of merging bin…

astro-ph.SR202089 cited

Massive donors in interacting binaries: effect of metallicity

Jakub Klencki, Gijs Nelemans, Alina G. Istrate +1

Metallicity is known to significantly affect the radial expansion of a massive star: the lower the metallicity, the more compact the star, especially during its post-MS evolution.…

astro-ph.HE2019

Populations of stellar mass Black holes from binary systems

Grzegorz Wiktorowicz, Łukasz Wyrzykowski, Martyna Chruslinska +3

In large and complicated stellar systems like galaxies it is difficult to predict the number and characteristics of a black hole population. Such populations may be modelled as an…

astro-ph.GA2019

MOCCA Survey Database I. BHs in star clusters

Mirek Giersz, Abbas Askar, Jakub Klencki +1

We briefly describe and discuss the set-up of the project MOCCA Survey Database I. The database contains more than 2000 Monte Carlo models of evolution of real star cluster perform…

astro-ph.HE2018

High mass X-ray binaries as progenitors of gravitational wave sources

Jakub Klencki, Gijs Nelemans

X-ray binaries with black hole (BH) accretors and massive star donors at short orbital periods of a few days can evolve into close binary BH systems (BBH) that merge within the Hub…

astro-ph.HE2017204 cited

Double neutron stars: merger rates revisited

Martyna Chruslinska, Krzysztof Belczynski, Jakub Klencki +1

We revisit double neutron star (DNS) formation in the classical binary evolution scenario in light of the recent LIGO/Virgo DNS detection (GW170817). The observationally estimated…