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

Información del proyecto

EMILIA

Identificador del acuerdo de subvención: 101065596

DOI

10.3030/101065596

Proyecto cerrado

Fecha de la firma de la CE 4 Julio 2022

Fecha de inicio 1 Enero 2023

Fecha de finalización 31 Diciembre 2024

Financiado con arreglo a

• Marie Skłodowska-Curie Actions (MSCA)

Coste total

Sin datos

Aportación de la UE

€ 169 326,72

Coordinado por

ARISTOTELIO PANEPISTIMIO THESSALONIKIS
Greece

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

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.

Publicaciones

Peer reviewed articles (6)

Neural density estimation for Galactic binaries in the LISA data analysis

Autores: Natalia Korsakova, Stanislav Babak, Michael L. Katz, Nikolaos Karnesis, Sviatoslav Khukhlaev, Jonathan R. Gair
Publicado en: Physical Review D, Edición 110, 2024, ISSN 2470-0010
Editor: 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

Autores: Argyro Sasli, Nikolaos Karnesis, Nikolaos Stergioulas
Publicado en: Physical Review D, Edición 108, 2023, ISSN 2470-0010
Editor: American Physical Society (APS)
DOI: 10.1103/PhysRevD.108.103005

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

Autores: A. Toubiana, N. Karnesis, A. Lamberts, M. C. Miller
Publicado en: Astronomy & Astrophysics, Edición 692, 2024, ISSN 0004-6361
Editor: EDP Sciences
DOI: 10.1051/0004-6361/202450174

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

Autores: Michael L. Katz, Nikolaos Karnesis, Natalia Korsakova, Jonathan R. Gair, Nikolaos Stergioulas
Publicado en: Physical Review D, Edición 111, 2025, ISSN 2470-0010
Editor: American Physical Society (APS)
DOI: 10.1103/PHYSREVD.111.024060

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

Autores: Eleonora Castelli, Quentin Baghi, John Baker, jacob Slutsky, Jrme Bobin, Nikolaos Karnesis, Antoine Petiteau, Orion Sauter, Peter J Wass, William J. Weber
Publicado en: Classical and Quantum Gravity, 2025, ISSN 0264-9381
Editor: IOP Publishing
DOI: 10.1088/1361-6382/adb931

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

Autores: N. Karnesis, A. Sasli, R. Buscicchio, N. Stergioulas
Publicado en: Physical Review D, Edición 111, 2025, ISSN 2470-0010
Editor: American Physical Society (APS)
DOI: 10.1103/PhysRevD.111.022005