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Bejger, Michał
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Online (190)
Mediatypes
Articles (Online) (27)
OpenAccess-fulltext (162)
Thesis (Online) (1)
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1
Detecting the third family of compact stars with normalizin..:
Carvalho, Valéria
;
Ferreira, Márcio
;
Providência, Constança
.
Physical Review D. 109 (2024) 10 - p. , 2024
Link:
https://doi.org/10.1103/..
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2
Evidence for 3XMM J185246.6+003317 as a massive magnetar wi..:
de Lima, Rafael C.R.
;
Pereira, Jonas P.
;
Coelho, Jaziel G.
...
Journal of High Energy Astrophysics. 42 (2024) - p. 52-62 , 2024
Link:
https://doi.org/10.1016/..
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3
Denoising gravitational-wave signals from binary black hole..:
Bacon, Philippe
;
Trovato, Agata
;
Bejger, Michał
Machine Learning: Science and Technology. 4 (2023) 3 - p. 035024 , 2023
Link:
https://doi.org/10.1088/..
?
4
Crustal Failure as a Tool to Probe Hybrid Stars:
Pereira, Jonas P.
;
Bejger, Michał
;
Haensel, Paweł
.
The Astrophysical Journal. 950 (2023) 2 - p. 185 , 2023
Link:
https://doi.org/10.3847/..
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5
Timing Six Energetic Rotation-powered X-Ray Pulsars, Includ..:
Ho, Wynn C. G.
;
Kuiper, Lucien
;
Espinoza, Cristóbal M.
...
The Astrophysical Journal. 939 (2022) 1 - p. 7 , 2022
Link:
https://doi.org/10.3847/..
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6
Differentiating between sharp and smoother phase transition..:
Pereira, Jonas P.
;
Bejger, Michał
;
Zdunik, J. Leszek
.
Physical Review D. 105 (2022) 12 - p. , 2022
Link:
https://doi.org/10.1103/..
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7
A Robust Test of the Existence of Primordial Black Holes in..:
Abramowicz, Marek
;
Bejger, Michał
;
Udalski, Andrzej
.
The Astrophysical Journal Letters. 935 (2022) 2 - p. L28 , 2022
Link:
https://doi.org/10.3847/..
?
8
Anomaly detection in gravitational waves data using convolu..:
Morawski, Filip
;
Bejger, Michał
;
Cuoco, Elena
.
Machine Learning: Science and Technology. 2 (2021) 4 - p. 045014 , 2021
Link:
https://doi.org/10.1088/..
?
9
Probing Elastic Quark Phases in Hybrid Stars with Radius Me..:
Pereira, Jonas P.
;
Bejger, Michał
;
Tonetto, Lucas
...
The Astrophysical Journal. 910 (2021) 2 - p. 145 , 2021
Link:
https://doi.org/10.3847/..
?
10
Enhancing gravitational-wave science with machine learning:
Cuoco, Elena
;
Powell, Jade
;
Cavaglià, Marco
...
Machine Learning: Science and Technology. 2 (2020) 1 - p. 011002 , 2020
Link:
https://doi.org/10.1088/..
?
11
Convolutional neural network classifier for the output of t..:
Morawski, Filip
;
Bejger, Michał
;
Ciecieląg, Paweł
Machine Learning: Science and Technology. 1 (2020) 2 - p. 025016 , 2020
Link:
https://doi.org/10.1088/..
?
12
A Galactic centre gravitational-wave Messenger:
Abramowicz, Marek
;
Bejger, Michał
;
Gourgoulhon, Éric
.
Scientific Reports. 10 (2020) 1 - p. , 2020
Link:
https://doi.org/10.1038/..
?
13
Return of the Big Glitcher: NICER timing and glitches of PS..:
Ho, Wynn C G
;
Espinoza, Cristóbal M
;
Arzoumanian, Zaven
...
Monthly Notices of the Royal Astronomical Society. 498 (2020) 4 - p. 4605-4614 , 2020
Link:
https://doi.org/10.1093/..
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14
Proper motion, spectra, and timing of PSR J1813–1749 using ..:
Ho, Wynn C G
;
Guillot, Sebastien
;
Saz Parkinson, P M
...
Monthly Notices of the Royal Astronomical Society. 498 (2020) 3 - p. 4396-4403 , 2020
Link:
https://doi.org/10.1093/..
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15
Continuous Gravitational Waves from Neutron Stars: Current ..:
Sieniawska, Magdalena
;
Bejger, Michał
Universe. 5 (2019) 11 - p. 217 , 2019
Link:
https://doi.org/10.3390/..
1-15