Zobrazeno 1 - 10
of 1 220
pro vyhledávání: '"A. Grandon"'
Autor:
Armijo, Joaquin, Marques, Gabriela A., Novaes, Camila P., Thiele, Leander, Cowell, Jessica A., Grandón, Daniela, Shirasaki, Masato, Liu, Jia
We use Minkowski functionals to analyse weak lensing convergence maps from the first-year data release of the Subaru Hyper Suprime-Cam (HSC-Y1) survey. Minkowski functionals provide a description of the morphological properties of a field, capturing
Externí odkaz:
http://arxiv.org/abs/2410.00401
Autor:
Grandón, Daniela, Sellentin, Elena
Non-Gaussian statistics of the projected weak lensing field are powerful estimators that can outperform the constraining power of the two-point functions in inferring cosmological parameters. This is because these estimators extract the non-Gaussian
Externí odkaz:
http://arxiv.org/abs/2407.20448
Autor:
Cheng, Sihao, Marques, Gabriela A., Grandón, Daniela, Thiele, Leander, Shirasaki, Masato, Ménard, Brice, Liu, Jia
As weak lensing surveys go deeper, there is an increasing need for reliable characterization of non-Gaussian structures at small angular scales. Here we present the first cosmological constraints with weak lensing scattering transform, a statistical
Externí odkaz:
http://arxiv.org/abs/2404.16085
Autor:
Grandón, Daniela, Marques, Gabriela A., Thiele, Leander, Cheng, Sihao, Shirasaki, Masato, Liu, Jia
Publikováno v:
Phys.Rev.D 110 (2024) 10, 103539
Baryonic feedback is a major systematic in weak lensing cosmology. Its most studied effect is the suppression of the lensing power spectrum, a second-order statistic, on small scales. Motivated by the growing interest in statistics beyond the second
Externí odkaz:
http://arxiv.org/abs/2403.03807
Autor:
Marques, Gabriela A., Liu, Jia, Shirasaki, Masato, Thiele, Leander, Grandón, Daniela, Huffenberger, Kevin M., Cheng, Sihao, Harnois-Déraps, Joachim, Osato, Ken, Coulton, William R.
Publikováno v:
Monthly Notices of the Royal Astronomical Society, Volume 528, Issue 3, 2024, pp. 4513-4527
We present cosmological constraints derived from peak counts, minimum counts, and the angular power spectrum of the Subaru Hyper Suprime-Cam first-year (HSC Y1) weak lensing shear catalog. Weak lensing peak and minimum counts contain non-Gaussian inf
Externí odkaz:
http://arxiv.org/abs/2308.10866
This article presents a novel hybrid approach using statistics and machine learning to forecast the national demand of electricity. As investment and operation of future energy systems require long-term electricity demand forecasts with hourly resolu
Externí odkaz:
http://arxiv.org/abs/2304.05174
Publikováno v:
Frontiers in Communication, Vol 9 (2024)
IntroductionNarrative skills are crucial for academic success and social interaction. To date, few studies have looked at the specific impact of hearing loss on higher-level language skills, like narrative skills, especially in German-speaking childr
Externí odkaz:
https://doaj.org/article/45fde4a6c6fd47c7acaf300db21f82b2
Publikováno v:
Phys. Dark Univ. 40 (2023) 101213
We look at dark energy from a biology inspired viewpoint by means of the Approximate Bayesian Computation (ABC) and late time cosmological observations. We find that dynamical dark energy comes out on top, or in the ABC language naturally selected, o
Externí odkaz:
http://arxiv.org/abs/2211.05482
Autor:
Förster, Francisco, Arancibia, Alejandra M. Muñoz, Reyes, Ignacio, Gagliano, Alexander, Britt, Dylan, Cuellar-Carrillo, Sara, Figueroa-Tapia, Felipe, Polzin, Ava, Yousef, Yara, Arredondo, Javier, Rodríguez-Mancini, Diego, Correa-Orellana, Javier, Bayo, Amelia, Bauer, Franz E., Catelan, Márcio, Cabrera-Vives, Guillermo, Dastidar, Raya, Estévez, Pablo A., Pignata, Giuliano, Hernandez-Garcia, Lorena, Huijse, Pablo, Reyes, Esteban, Sánchez-Sáez, Paula, Ramirez, Mauricio, Grandón, Daniela, Pineda-García, Jonathan, Chabour-Barra, Francisca, Silva-Farfán, Javier
We present DELIGHT, or Deep Learning Identification of Galaxy Hosts of Transients, a new algorithm designed to automatically and in real-time identify the host galaxies of extragalactic transients. The proposed algorithm receives as input compact, mu
Externí odkaz:
http://arxiv.org/abs/2208.04310
Autor:
Grandón, Daniela, Sellentin, Elena
Neural nets have become popular to accelerate parameter inferences, especially for the upcoming generation of galaxy surveys in cosmology. As neural nets are approximative by nature, a recurrent question has been how to propagate the neural net's app
Externí odkaz:
http://arxiv.org/abs/2205.11587