Zobrazeno 1 - 10
of 782
pro vyhledávání: '"Rivero, Ana"'
The increasing congestion in the near-Earth space environment has amplified the need for robust and efficient conjunction analysis techniques including the computation of the minimum distance between orbital paths in the presence of perturbations. Af
Externí odkaz:
http://arxiv.org/abs/2410.20928
Publikováno v:
Peer Community Journal, Vol 2, Iss , Pp - (2022)
Drug resistance is a major issue in the control of malaria. Mutations linked to drug resistance often target key metabolic pathways and are therefore expected to be associated with biological costs. The spread of drug resistance depends on the balanc
Externí odkaz:
https://doaj.org/article/563c68895f1644c38e833eea263523f5
Conjunction analysis (CA) for resident space objects (RSOs) is essential for preventing collisions in an increasingly crowded orbital environment and preserving the operational integrity of satellites. A first and fundamental step in the CA process i
Externí odkaz:
http://arxiv.org/abs/2309.02379
Publikováno v:
A&A 657, L14 (2022)
The goal of this paper is to develop a machine learning model to analyze the main gravitational lens and detect dark substructure (subhalos) within simulated images of strongly lensed galaxies. Using the technique of image segmentation, we turn the t
Externí odkaz:
http://arxiv.org/abs/2009.06663
Detecting substructure within strongly lensed images is a promising route to shed light on the nature of dark matter. However, it is a challenging task, which traditionally requires detailed lens modeling and source reconstruction, taking weeks to an
Externí odkaz:
http://arxiv.org/abs/2009.06639
Autor:
Rivero, Ana Diaz, Dvorkin, Cora
Publikováno v:
Phys. Rev. D 102, 103507 (2020)
We investigate the use of data-driven likelihoods to bypass a key assumption made in many scientific analyses, which is that the true likelihood of the data is Gaussian. In particular, we suggest using the optimization targets of flow-based generativ
Externí odkaz:
http://arxiv.org/abs/2007.05535
Autor:
Şengül, Atınç Çağan, Tsang, Arthur, Rivero, Ana Diaz, Dvorkin, Cora, Zhu, Hong-Ming, Seljak, Uroš
Publikováno v:
Phys. Rev. D 102, 063502 (2020)
Galaxy-galaxy strong gravitational lenses have become a popular probe of dark matter (DM) by providing a window into structure formation on the smallest scales. In particular, the convergence power spectrum of subhalos within lensing galaxies has bee
Externí odkaz:
http://arxiv.org/abs/2006.07383
Autor:
Pablo-Lerchundi, Iciar, Núñez-del-Río, Cristina, Jiménez-Rivero, Ana, Sastre-Merino, Susana, Míguez-Souto, Alexandra, Martín-Núñez, José Luis
Publikováno v:
In Heliyon November 2023 9(11)
We present a novel technique for Cosmic Microwave Background (CMB) foreground subtraction based on the framework of blind source separation. Inspired by previous work incorporating local variation to Generalized Morphological Component Analysis (GMCA
Externí odkaz:
http://arxiv.org/abs/1910.08077