Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

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Calm before the storm: rethinking the gravitational-wave analysis toolbox in the face of future challenges

2021/43/B/ST9/01714

Keywords:

gravitational waves data analysis neutron stars multi-messenger astrophysics

Descriptors:

  • ST9_14: Gravitational-wave astronomy
  • ST9_12: Relativistic astrophysics
  • ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)

Panel:

ST9 - Astronomy and space science: astrophysics, astrochemistry, astrobiology, solar system, planetary systems, stellar, galactic and extragalactic astronomy, space science, instrumentation

Host institution :

Centrum Astronomiczne im. Mikołaja Kopernika Polskiej Akademii Nauk

woj.

Other projects carried out by the institution 

Principal investigator (from the host institution):

dr hab. Michał Stanisław Bejger 

Number of co-investigators in the project: 5

Call: OPUS 22 - announced on 2021-09-15

Amount awarded: 1 932 480 PLN

Project start date (Y-m-d): 2022-10-03

Project end date (Y-m-d): 2025-10-02

Project duration:: 36 months (the same as in the proposal)

Project status: Pending project

Project description

Download the project description in a pdf file

Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Information in the final report

  • Publication in academic press/journals (4)
  1. Astrophysics with continuous gravitational waves
    Authors:
    Brynmor Haskell, Michał Bejger
    Academic press:
    Nature Astronomy (rok: 2023, tom: 7, strony: 1160-1170), Wydawca: Springer Nature
    Status:
    Published
    DOI:
    10.1038/s41550-023-02059-w - link to the publication
  2. Denoising gravitational-wave signals from binary black holes with a dilated convolutional autoencoder
    Authors:
    Philippe Bacon, Agata Trovato, Michał Bejger
    Academic press:
    Machine Learning: Science and Technology (rok: 2023, tom: 4, strony: 35024), Wydawca: IOP SCIENCE
    Status:
    Published
    DOI:
    10.1088/2632-2153/acd90f - link to the publication
  3. Detecting dense-matter phase transition signatures in neutron star mass-radius measurements as data anomalies using normalizing flows
    Authors:
    Morawski, Filip; Bejger, Michał
    Academic press:
    Physical Review C (rok: 2022, tom: 106, strony: 65802), Wydawca: American Physical Society
    Status:
    Published
    DOI:
    10.1103/PhysRevC.106.065802 - link to the publication
  4. Crustal Failure as a Tool to Probe Hybrid Stars
    Authors:
    Pereira, Jonas P.; Bejger, Michał; Haensel, Paweł; Zdunik, Julian Leszek
    Academic press:
    ApJ (rok: 2022, tom: 950, strony: 185), Wydawca: AAS
    Status:
    Published
    DOI:
    10.3847/1538-4357/acd759 - link to the publication

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