Zobrazeno 1 - 10
of 2 635
pro vyhledávání: '"Novell, A."'
Autor:
Novell-Masot, S., Gil-Marín, H., Aguilar, L. Verde J., Ahlen, S., Brieden, S., Brooks, D., Claybaugh, T., de la Macorra, A., Forero-Romero, J. E., Gaztañaga, E., Gontcho, S. Gontcho A, Gutierrez, G., Honscheid, K., Howlett, C., Kehoe, R., Kisne, T., Lamber, A., Levi, M. E., Manera, M., Meisner, A., Miquel, R., Niz, G., Prada, F., Rossi, G., Sanchez, E., Schubnell, M., Seo, H., Sprayberry, D., Tarlé, G., Weaver, B. A.
We evaluate the performance of the catalog-level blind analysis technique (\textit{blinding}) presented in Brieden et al. (2020) in the context of a power spectrum and bispectrum analysis. This blinding scheme, which is tailored for galaxy redshift s
Externí odkaz:
http://arxiv.org/abs/2407.12931
We investigate, in dark matter and galaxy mocks, the effects of approximating the galaxy power spectrum-bispectrum estimated covariance as a diagonal matrix, for an analysis that aligns with the specifications of recent and upcoming galaxy surveys. W
Externí odkaz:
http://arxiv.org/abs/2306.03137
Publikováno v:
JCAP11(2023)044
We present GEO-FPT (Geometric Fitted Perturbation Theory), a new model for the galaxy bispectrum anisotropic signal in redshift space, with functional form rooted in perturbation theory. It also models the dependence of the bispectrum with the geomet
Externí odkaz:
http://arxiv.org/abs/2303.15510
Autor:
Elisabet Navarro-Tapia, Ana Herranz Barbero, Maribel Marquina, Cristina Borràs-Novell, Vanessa Pleguezuelos, Rafael Vila-Candel, Óscar García-Algar, Vicente Andreu-Fernández
Publikováno v:
Frontiers in Pediatrics, Vol 12 (2024)
BackgroundHuman milk is the best option for feeding newborns, especially premature infants. In the absence of breast milk, milk from a human milk bank can be a suitable alternative. However, the nutritional content of human milk may be insufficient t
Externí odkaz:
https://doaj.org/article/c65713108005430baca95d3d0619e9c6
Autor:
Vilaró, Anna, Karstensen, Kasper T., Cavaco, Lina M., Angen, Øystein, Solé, Emma, Seró, Ingrid, Novell, Elena, Enrique-Tarancón, Vicens, Guitart-Matas, Judith, Migura-Garcia, Lourdes, Fraile, Lorenzo
Publikováno v:
In Veterinary Microbiology August 2024 295
Autor:
Laura Abella, Gerard Novell-Leruth, Josep M. Ricart, Josep M. Poblet, Antonio Rodríguez-Fortea
Publikováno v:
Beilstein Journal of Organic Chemistry, Vol 20, Iss 1, Pp 92-100 (2024)
Fullerene dimerization inside a peapod is analyzed at DFT level by characterizing the stationary points and deriving the energy profile of the initial and reversible process named phase 1. We find that the barriers for the radical cation mechanism ar
Externí odkaz:
https://doaj.org/article/1b63eb631f354f688faef3f5617e28ba
Publikováno v:
Geoscientific Model Development, Vol 16, Pp 7339-7355 (2023)
A key challenge in paleoseismology is constraining the timing and occurrence of past earthquakes to create an earthquake history along faults that can be used for testing or building fault-based seismic hazard assessments. We present a new methodolog
Externí odkaz:
https://doaj.org/article/a3adc0e9a9414c9cb0eb2f829967c70d
Publikováno v:
Porcine Health Management, Vol 9, Iss 1, Pp 1-13 (2023)
Abstract Background Antimicrobial resistance is one of the most important health challenges in humans and animals. Antibiotic susceptibility determination is used to select the most suitable drug to treat animals according to its success probability
Externí odkaz:
https://doaj.org/article/e3be474f62e14f4fa502044f6b51710b
Publikováno v:
JCAP01(2021)015
The power spectrum has long been the workhorse summary statistics for large-scale structure cosmological analyses. However, gravitational non-linear evolution moves precious cosmological information from the two-point statistics (such as the power sp
Externí odkaz:
http://arxiv.org/abs/2009.02290
Autor:
Anna Escalé-Besa, Oriol Yélamos, Josep Vidal-Alaball, Aïna Fuster-Casanovas, Queralt Miró Catalina, Alexander Börve, Ricardo Ander-Egg Aguilar, Xavier Fustà-Novell, Xavier Cubiró, Mireia Esquius Rafat, Cristina López-Sanchez, Francesc X. Marin-Gomez
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract Dermatological conditions are a relevant health problem. Machine learning (ML) models are increasingly being applied to dermatology as a diagnostic decision support tool using image analysis, especially for skin cancer detection and disease
Externí odkaz:
https://doaj.org/article/0d5187ed334546d2aca34e9f870f9dc6