Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Poole, Jack"'
In traditional approaches to structural health monitoring, challenges often arise associated with the availability of labelled data. Population-based structural health monitoring seeks to overcomes these challenges by leveraging data/information from
Externí odkaz:
http://arxiv.org/abs/2407.14342
Autor:
Yuan, Sihan, Blake, Chris, Krolewski, Alex, Lange, Johannes, Elvin-Poole, Jack, Leauthaud, Alexie, DeRose, Joseph, Aguilar, Jessica Nicole, Ahlen, Steven, Beltz-Mohrmann, Gillian, Brooks, David, Claybaugh, Todd, de la Macorra, Axel, Doel, Peter, Emas, Ni Putu Audita Placida, Ferraro, Simone, Forero-Romero, Jaime E., Garcia-Quintero, Cristhian, Gaztañaga, Enrique, Gontcho, Satya Gontcho A, Hadzhiyska, Boryana, Heydenreich, Sven, Honscheid, Klaus, Ishak, Mustapha, Joudaki, Shahab, Jullo, Eric, Kisner, Theodore, Kremin, Anthony, Lambert, Andrew, Landriau, Martin, Manera, Marc, Meisner, Aaron, Miquel, Ramon, Nie, Jundan, Palanque-Delabrouille, Nathalie, Poppett, Claire, Porredon, Anna, Rezaie, Mehdi, Ross, Ashley J., Rossi, Graziano, Ruggeri, Rossana, Sanchez, Eusebio, Saulder, Christoph, Seo, Hee-Jong, Silber, Joseph Harry, Tarlé, Gregory, Vargas-Magaña, Mariana, Weaver, Benjamin Alan, Xhakaj, Enia, Zhou, Zhimin, Zou, Hu
Galaxy-galaxy lensing (GGL) and clustering measurements from the Dark Energy Spectroscopic Instrument Year 1 (DESI Y1) dataset promise to yield unprecedented combined-probe tests of cosmology and the galaxy-halo connection. In such analyses, it is es
Externí odkaz:
http://arxiv.org/abs/2403.00915
Population-based structural health monitoring (PBSHM), seeks to address some of the limitations associated with data scarcity that arise in traditional SHM. A tenet of the population-based approach to SHM is that information can be shared between suf
Externí odkaz:
http://arxiv.org/abs/2311.03083
Decision-support for the operation and maintenance of structures provides significant motivation for the development and implementation of structural health monitoring (SHM) systems. Unfortunately, the limited availability of labelled training data h
Externí odkaz:
http://arxiv.org/abs/2307.06978
Autor:
Riquelme, Walter, Avila, Santiago, Garcia-Bellido, Juan, Porredon, Anna, Ferrero, Ismael, Chan, Kwan Chuen, Rosenfeld, Rogerio, Camacho, Hugo, Adame, Adrian G., Rosell, Aurelio Carnero, Crocce, Martin, De Vicente, Juan, Eifler, Tim, Elvin-Poole, Jack, Fang, Xiao, Krause, Elisabeth, Monroy, Martin Rodriguez, Ross, Ashley J., Sanchez, Eusebio, Sevilla, Ignacio
Local primordial non-Gaussianity (PNG) is a promising observable of the underlying physics of inflation, characterised by $f_{\rm NL}^{\rm loc}$. We present the methodology to measure $f_{\rm NL}^{\rm loc}$ from the Dark Energy Survey (DES) data usin
Externí odkaz:
http://arxiv.org/abs/2209.07187
The practical application of structural health monitoring (SHM) is often limited by the availability of labelled data. Transfer learning - specifically in the form of domain adaptation (DA) - gives rise to the possibility of leveraging information fr
Externí odkaz:
http://arxiv.org/abs/2205.12052
Publikováno v:
In Mechanical Systems and Signal Processing 1 March 2024 209
Autor:
Chen, Angela, Huterer, Dragan, Lee, Sujeong, Ferté, Agnès, Weaverdyck, Noah, Alves, Otavio Alonso, Leonard, C. Danielle, MacCrann, Niall, Raveri, Marco, Porredon, Anna, Di Valentino, Eleonora, Muir, Jessica, Lemos, Pablo, Liddle, Andrew, Blazek, Jonathan, Campos, Andresa, Cawthon, Ross, Choi, Ami, Dodelson, Scott, Elvin-Poole, Jack, Gruen, Daniel, Ross, Ashley, Secco, Lucas F., Sevilla, Ignacio, Sheldon, Erin, Troxel, Michael A., Zuntz, Joe, Abbott, Tim, Aguena, Michel, Allam, Sahar, Annis, James, Avila, Santiago, Bertin, Emmanuel, Bhargava, Sunayana, Bridle, Sarah, Brooks, David, Rosell, Aurelio Carnero, Kind, Matias Carrasco, Carretero, Jorge, Costanzi, Matteo, Crocce, Martin, da Costa, Luiz, Pereira, Maria Elidaiana da Silva, Davis, Tamara, Doel, Peter, Eifler, Tim, Ferrero, Ismael, Fosalba, Pablo, Frieman, Josh, Garcia-Bellido, Juan, Gaztanaga, Enrique, Gerdes, David, Gruendl, Robert, Gschwend, Julia, Gutierrez, Gaston, Hinton, Samuel, Hollowood, Devon L., Honscheid, Klaus, Hoyle, Ben, James, David, Jarvis, Mike, Kuehn, Kyler, Lahav, Ofer, Maia, Marcio, Marshall, Jennifer, Menanteau, Felipe, Miquel, Ramon, Morgan, Robert, Palmese, Antonella, Paz-Chinchon, Francisco, Malagón, Andrés Plazas, Roodman, Aaron, Sanchez, Eusebio, Scarpine, Vic, Schubnell, Michael, Serrano, Santiago, Smith, Mathew, Suchyta, Eric, Tarle, Gregory, Thomas, Daniel, To, Chun-Hao, Varga, Tamas Norbert, Weller, Jochen, Wilkinson, Reese
Publikováno v:
Phys. Rev. D 103, 123528 (2021)
We study a phenomenological class of models where dark matter converts to dark radiation in the low redshift epoch. This class of models, dubbed DMDR, characterizes the evolution of comoving dark matter density with two extra parameters, and may be a
Externí odkaz:
http://arxiv.org/abs/2011.04606
Autor:
Wagoner, Erika L., Rozo, Eduardo, Fang, Xiao, Crocce, Martín, Elvin-Poole, Jack, Weaverdyck, Noah
We implement a linear model for mitigating the effect of observing conditions and other sources of contamination in galaxy clustering analyses. Our treatment improves upon the fiducial systematics treatment of the Dark Energy Survey (DES) Year 1 (Y1)
Externí odkaz:
http://arxiv.org/abs/2009.10854
Autor:
Raichoor, Anand, de Mattia, Arnaud, Ross, Ashley J., Zhao, Cheng, Alam, Shadab, Avila, Santiago, Bautista, Julian, Brinkmann, Jonathan, Brownstein, Joel R., Burtin, Etienne, Chapman, Michael J., Chuang, Chia-Hsun, Comparat, Johan, Dawson, Kyle S., Dey, Arjun, Bourboux, Hélion du Mas des, Elvin-Poole, Jack, Gonzalez-Perez, Violeta, Gorgoni, Claudio, Kneib, Jean-Paul, Kong, Hui, Lang, Dustin, Moustakas, John, Myers, Adam D., Müller, Eva-Maria, Nadathur, Seshadri, Newman, Jeffrey A., Percival, Will J., Rezaie, Mehdi, Rossi, Graziano, Ruhlmann-Kleider, Vanina, Schlegel, David J., Schneider, Donald P., Seo, Hee-Jong, Tamone, Amélie, Tinker, Jeremy L., Tojeiro, Rita, Vivek, M., Yèche, Christophe, Zhao, Gong-Bo
We present the Emission Line Galaxy (ELG) sample of the extended Baryon Oscillation Spectroscopic Survey (eBOSS) from the Sloan Digital Sky Survey IV Data Release 16 (DR16). After describing the observations and redshift measurement for the 269,243 o
Externí odkaz:
http://arxiv.org/abs/2007.09007