Enabling Multi Messenger Astronomy with a low-latency LISA data pipeline

Project Information

EMILIA

Grant agreement ID: 101065596

DOI

10.3030/101065596

Project closed

EC signature date 4 July 2022

Start date 1 January 2023

End date 31 December 2024

Funded under

• Marie Skłodowska-Curie Actions (MSCA)

Total cost

No data

EU contribution

€ 169 326,72

Coordinated by

ARISTOTELIO PANEPISTIMIO THESSALONIKIS
Greece

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Documents, reports (1)

Communication, Dissemination & Outreach Plan

The plan describes the planned measures to maximize the impact of the project, including the dissemination and exploitation measures that are planned, and the target group(s) addressed. Regarding communication measures and public engagement strategy, the aim is to inform and reach out to society and show the activities performed, and the use and the benefits the project will have for citizens.

Data Management Plan (1)

Data Management Plan

The Data Management Plan describes the data management life cycle for all data sets that will be collected, processed or generated by the action. It is a document describing what data will be collected, processed or generated and following what methodology and standards, whether and how this data will be shared and/or made open, and how it will be curated and preserved.

Publications

Peer reviewed articles (6)

Neural density estimation for Galactic binaries in the LISA data analysis

Author(s): Natalia Korsakova, Stanislav Babak, Michael L. Katz, Nikolaos Karnesis, Sviatoslav Khukhlaev, Jonathan R. Gair
Published in: Physical Review D, Issue 110, 2024, ISSN 2470-0010
Publisher: American Physical Society (APS)
DOI: 10.1103/PhysRevD.110.104069

Heavy-tailed likelihoods for robustness against data outliers: Applications to the analysis of gravitational wave data

Author(s): Argyro Sasli, Nikolaos Karnesis, Nikolaos Stergioulas
Published in: Physical Review D, Issue 108, 2023, ISSN 2470-0010
Publisher: American Physical Society (APS)
DOI: 10.1103/PhysRevD.108.103005

The interacting double white dwarf population with LISA: Stochastic foreground and resolved sources

Author(s): A. Toubiana, N. Karnesis, A. Lamberts, M. C. Miller
Published in: Astronomy & Astrophysics, Issue 692, 2024, ISSN 0004-6361
Publisher: EDP Sciences
DOI: 10.1051/0004-6361/202450174

Efficient GPU-accelerated multisource global fit pipeline for LISA data analysis

Author(s): Michael L. Katz, Nikolaos Karnesis, Natalia Korsakova, Jonathan R. Gair, Nikolaos Stergioulas
Published in: Physical Review D, Issue 111, 2025, ISSN 2470-0010
Publisher: American Physical Society (APS)
DOI: 10.1103/PHYSREVD.111.024060

Extracting gravitational wave signals from LISA data in the presence of artifacts

Author(s): Eleonora Castelli, Quentin Baghi, John Baker, jacob Slutsky, Jrme Bobin, Nikolaos Karnesis, Antoine Petiteau, Orion Sauter, Peter J Wass, William J. Weber
Published in: Classical and Quantum Gravity, 2025, ISSN 0264-9381
Publisher: IOP Publishing
DOI: 10.1088/1361-6382/adb931

Characterization of non-Gaussian stochastic signals with heavier-tailed likelihoods

Author(s): N. Karnesis, A. Sasli, R. Buscicchio, N. Stergioulas
Published in: Physical Review D, Issue 111, 2025, ISSN 2470-0010
Publisher: American Physical Society (APS)
DOI: 10.1103/PhysRevD.111.022005