Zobrazeno 1 - 10
of 108
pro vyhledávání: '"Lucia A. Perez"'
Autor:
Matthew Ho, Deaglan J. Bartlett, Nicolas Chartier, Carolina Cuesta-Lazaro, Simon Ding, Axel Lapel, Pablo Lemos, Christopher C. Lovell, T. Lucas Makinen, Chirag Modi, Viraj Pandya, Shivam Pandey, Lucia A. Perez, Benjamin Wandelt, Greg L. Bryan
Publikováno v:
The Open Journal of Astrophysics, Vol 7 (2024)
This paper presents the Learning the Universe Implicit Likelihood Inference (LtU-ILI) pipeline, a codebase for rapid, user-friendly, and cutting-edge machine learning (ML) inference in astrophysics and cosmology. The pipeline includes software for im
Externí odkaz:
https://doaj.org/article/af69423f4173436cad76953bf39249be
Autor:
Lucia A. Perez, Shy Genel, Francisco Villaescusa-Navarro, Rachel S. Somerville, Austen Gabrielpillai, Daniel Anglés-Alcázar, Benjamin D. Wandelt, L. Y. Aaron Yung
Publikováno v:
The Astrophysical Journal, Vol 954, Iss 1, p 11 (2023)
As the next generation of large galaxy surveys come online, it is becoming increasingly important to develop and understand the machine-learning tools that analyze big astronomical data. Neural networks are powerful and capable of probing deep patter
Externí odkaz:
https://doaj.org/article/3bd2d0bbf3e643739bee81d1d90e8096
Publikováno v:
The Astrophysical Journal, Vol 949, Iss 1, p 3 (2023)
We use large simulations of Ly α emitters with different fractions of ionized intergalactic medium to quantify the clustering of Ly α emitters as measured by the void probability function (VPF), and how it evolves under different ionization scenari
Externí odkaz:
https://doaj.org/article/ba76a37ab4c04064af26939497bf66e1
Autor:
Francisco Villaescusa-Navarro, Shy Genel, Daniel Anglés-Alcázar, Lucia A. Perez, Pablo Villanueva-Domingo, Digvijay Wadekar, Helen Shao, Faizan G. Mohammad, Sultan Hassan, Emily Moser, Erwin T. Lau, Luis Fernando Machado Poletti Valle, Andrina Nicola, Leander Thiele, Yongseok Jo, Oliver H. E. Philcox, Benjamin D. Oppenheimer, Megan Tillman, ChangHoon Hahn, Neerav Kaushal, Alice Pisani, Matthew Gebhardt, Ana Maria Delgado, Joyce Caliendo, Christina Kreisch, Kaze W. K. Wong, William R. Coulton, Michael Eickenberg, Gabriele Parimbelli, Yueying Ni, Ulrich P. Steinwandel, Valentina La Torre, Romeel Dave, Nicholas Battaglia, Daisuke Nagai, David N. Spergel, Lars Hernquist, Blakesley Burkhart, Desika Narayanan, Benjamin Wandelt, Rachel S. Somerville, Greg L. Bryan, Matteo Viel, Yin Li, Vid Irsic, Katarina Kraljic, Federico Marinacci, Mark Vogelsberger
Publikováno v:
The Astrophysical Journal Supplement Series, Vol 265, Iss 2, p 54 (2023)
The Cosmology and Astrophysics with Machine Learning Simulations (CAMELS) project was developed to combine cosmology with astrophysics through thousands of cosmological hydrodynamic simulations and machine learning. CAMELS contains 4233 cosmological
Externí odkaz:
https://doaj.org/article/3325626d077745a3abeb937b84af2f24
Akademický článek
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Autor:
Lucia Sandra Perez-Borroto, María Carla Guzzo, Gisella Posada, Andrea Natalia Peña Malavera, Atilio Pedro Castagnaro, Justo Lorenzo Gonzalez-Olmedo, Yamilet Coll-García, Esteban Mariano Pardo
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract Drought severely affects soybean productivity, challenging breeding/management strategies to increase crop resilience. Hormone-based biostimulants like brassinosteroids (BRs) modulate growth/defence trade-off, mitigating yield losses; yet, n
Externí odkaz:
https://doaj.org/article/4dc3d94eee674f9689c9e4caed63bc08
Autor:
Lucia Margarita Perez-Hernandez, Alan Javier Hernández-Álvarez, Michael Morgan, Christine Boesch, Caroline Orfila
Publikováno v:
CyTA - Journal of Food, Vol 19, Iss 1, Pp 682-690 (2021)
Common bean consumption is associated with the prevention of chronic diseases and these effects are partially attributed to their polyphenol content. In this study, the bioaccessibility and anti-inflammatory activity of polyphenols from six Mexican c
Externí odkaz:
https://doaj.org/article/c47632182d044b8cb629a4c8cb5a5b32
Akademický článek
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Autor:
Esperanza M. Garcia-Oropesa, Yoscelina E. Martinez-Lopez, Sonia María Ruiz-Cejudo, José Darío Martínez-Ezquerro, Alvaro Diaz-Badillo, Carlos Ramirez-Pfeiffer, Alejandra Bustamante-Fuentes, Elena B. Lopez-Sosa, Oscar O. Moctezuma-Chavez, Edna J. Nava-Gonzalez, Adriana L. Perales-Torres, Lucia M. Perez-Navarro, Marisol Rosas-Diaz, Kathleen Carter, Beatriz Tapia, Juan C. Lopez-Alvarenga
Publikováno v:
Frontiers in Medicine, Vol 8 (2021)
Mexicans and Mexican Americans share culture, genetic background, and predisposition for chronic complications associated with obesity and diabetes making imperative efficacious treatments and prevention. Obesity has been treated for centuries focuse
Externí odkaz:
https://doaj.org/article/9512b660301b47d98b4137bb39ce0e3e
Autor:
Moreno, Lucía C. Pérez
Publikováno v:
Ábaco, 2018 Jan 01(95/96), 187-191.
Externí odkaz:
https://www.jstor.org/stable/26562209