Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Grespan, Margherita"'
Autor:
Grespan, Margherita, Thuruthipilly, Hareesh, Pollo, Agnieszka, Lochner, Michelle, Biesiada, Marek, Etsebeth, Verlon
Publikováno v:
A&A 688, A34 (2024)
We apply a state-of-the-art transformer algorithm to 221 deg$^2$ of the Kilo Degree Survey (KiDS) to search for new strong gravitational lenses (SGL). We test four transformer encoders trained on simulated data from the Strong Lens Finding Challenge
Externí odkaz:
http://arxiv.org/abs/2405.11992
Autor:
Sharma, Vipin Kumar, Harikumar, Sreekanth, Grespan, Margherita, Biesiada, Marek, Verma, Murli Manohar
We investigate the novel features of gravitational wave solutions in $f(R)$ gravity under proper gauge considerations in the shifted Ricci scalar background curvature ($R^{1+\epsilon}$). The solution is further explored to study the modified dispersi
Externí odkaz:
http://arxiv.org/abs/2310.10346
Publikováno v:
MNRAS Volume 529, Issue 1, March 2024, Pages 732--747
Modern astronomical surveys are producing datasets of unprecedented size and richness, increasing the potential for high-impact scientific discovery. This possibility, coupled with the challenge of exploring a large number of sources, has led to the
Externí odkaz:
http://arxiv.org/abs/2309.08660
Publikováno v:
AIP Conf. Proc. 3061, 040003 (2024)
With the upcoming large-scale surveys like LSST, we expect to find approximately $10^5$ strong gravitational lenses among data of many orders of magnitude larger. In this scenario, the usage of non-automated techniques is too time-consuming and hence
Externí odkaz:
http://arxiv.org/abs/2212.12915
Autor:
Grespan, Margherita1 (AUTHOR) margherita.grespan@ncbj.gov.pl, Biesiada, Marek1 (AUTHOR) marek.biesiada@ncbj.gov.pl
Publikováno v:
Universe (2218-1997). May2023, Vol. 9 Issue 5, p200. 28p.
Publikováno v:
AIP Conference Proceedings; 2024, Vol. 3061 Issue 1, p1-11, 11p
Autor:
Sharma, Vipin Kumar, Harikumar, Sreekanth, Grespan, Margherita, Biesiada, Marek, Verma, Murli Manohar
Publikováno v:
In Physics Letters B December 2024 859
Publikováno v:
INSPIRE-HEP
With the upcoming large-scale surveys like LSST, we expect to find approximately $10^5$ strong gravitational lenses among data of many orders of magnitude larger. In this scenario, the usage of non-automated techniques is too time-consuming and hence
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5cf2d506c46099b3bb3f5e8da5735231
http://arxiv.org/abs/2212.12915
http://arxiv.org/abs/2212.12915