Zobrazeno 1 - 10
of 29 602
pro vyhledávání: '"Shabbir, A"'
Autor:
Qu, Frank J., Hang, Qianjun, Farren, Gerrit, Bolliet, Boris, Aguilar, Jessica Nicole, Ahlen, Steven, Alam, Shadab, Brooks, David, Cai, Yan-Chuan, Calabrese, Erminia, Claybaugh, Todd, de la Macorra, Axel, Devlin, Mark J., Doel, Peter, Embil-Villagra, Carmen, Ferraro, Simone, Font-Ribera, Andreu, Forero-Romero, Jaime E., Gaztañaga, Enrique, Gluscevic, Vera, Gontcho, Satya Gontcho A, Gutierrez, Gaston, Howlett, Cullan, Kehoe, Robert, Kim, Joshua, Kremin, Anthony, Lambert, Andrew, Landriau, Martin, Guillou, Laurent Le, Levi, Michael, Louis, Thibaut, Meisner, Aaron, Miquel, Ramon, Moustakas, John, Newman, Jeffrey A., Niz, Gustavo, Peacock, John, Percival, Will, Poppett, Claire, Prada, Francisco, Pérez-Ràfols, Ignasi, Rossi, Graziano, Sanchez, Eusebio, Schlegel, David, Sehgal, Neelima, Shaikh, Shabbir, Sherwin, Blake, Sifón, Cristóbal, Schubnell, Michael, Sprayberry, David, Tarlé, Gregory, Weaver, Benjamin Alan, Wollack, Edward J., Zou, Hu
We measure the growth of cosmic density fluctuations on large scales and across the redshift range $0.3
Externí odkaz:
http://arxiv.org/abs/2410.10808
The main objective of this article is to investigate the viability of bouncing cosmological scenarios using different forms of scale factors with perfect matter configuration in the framework of extended symmetric teleparallel theory. This modified p
Externí odkaz:
http://arxiv.org/abs/2407.20605
Training deep neural networks often requires large-scale datasets, necessitating storage and processing on cloud servers due to computational constraints. The procedures must follow strict privacy regulations in domains like healthcare. Split Learnin
Externí odkaz:
http://arxiv.org/abs/2407.08977
Autor:
Kim, Joshua, Sailer, Noah, Madhavacheril, Mathew S., Ferraro, Simone, Abril-Cabezas, Irene, Aguilar, Jessica Nicole, Ahlen, Steven, Bond, J. Richard, Brooks, David, Burtin, Etienne, Calabrese, Erminia, Chen, Shi-Fan, Choi, Steve K., Claybaugh, Todd, Darwish, Omar, de la Macorra, Axel, DeRose, Joseph, Devlin, Mark, Dey, Arjun, Doel, Peter, Dunkley, Jo, Embil-Villagra, Carmen, Farren, Gerrit S., Font-Ribera, Andreu, Forero-Romero, Jaime E., Gaztañaga, Enrique, Gluscevic, Vera, Gontcho, Satya Gontcho A, Guy, Julien, Honscheid, Klaus, Howlett, Cullan, Kirkby, David, Kisner, Theodore, Kremin, Anthony, Landriau, Martin, Guillou, Laurent Le, Levi, Michael E., MacCrann, Niall, Manera, Marc, Marques, Gabriela A., Meisner, Aaron, Miquel, Ramon, Moodley, Kavilan, Moustakas, John, Newburgh, Laura B., Newman, Jeffrey A., Niz, Gustavo, Orlowski-Scherer, John, Palanque-Delabrouille, Nathalie, Percival, Will J., Prada, Francisco, Qu, Frank J., Rossi, Graziano, Sanchez, Eusebio, Schaan, Emmanuel, Schlafly, Edward F., Schlegel, David, Schubnell, Michael, Sehgal, Neelima, Seo, Hee-Jung, Shaikh, Shabbir, Sherwin, Blake D., Sifón, Cristóbal, Sprayberry, David, Staggs, Suzanne T., Tarlé, Gregory, van Engelen, Alexander, Weaver, Benjamin Alan, Wenzl, Lukas, White, Martin, Wollack, Edward J., Yèche, Christophe, Zou, Hu
We present a high-significance cross-correlation of CMB lensing maps from the Atacama Cosmology Telescope (ACT) Data Release 6 (DR6) with spectroscopically calibrated luminous red galaxies (LRGs) from the Dark Energy Spectroscopic Instrument (DESI).
Externí odkaz:
http://arxiv.org/abs/2407.04606
Autor:
Wenzl, Lukas, An, Rui, Battaglia, Nick, Bean, Rachel, Calabrese, Erminia, Chen, Shi-Fan, Choi, Steve K., Darwish, Omar, Dunkley, Jo, Farren, Gerrit S., Ferraro, Simone, Guan, Yilun, Harrison, Ian, Kim, Joshua, Louis, Thibaut, MacCrann, Niall, Madhavacheril, Mathew S., Marques, Gabriela A., Mehta, Yogesh, Niemack, Michael D., Qu, Frank J., Sehgal, Neelima, Shaikh, Shabbir, Sherwin, Blake D., Sifón, Cristóbal, van Engelen, Alexander, Wollack, Edward J.
We derive new constraints on the $E_G$ statistic as a test of gravity, combining the CMB lensing map estimated from Data Release 6 (DR6) of the Atacama Cosmology Telescope with SDSS BOSS CMASS and LOWZ galaxy data. We develop an analysis pipeline to
Externí odkaz:
http://arxiv.org/abs/2405.12795
Light field (LF) imaging captures both angular and spatial light distributions, enabling advanced photographic techniques. However, micro-lens array (MLA)- based cameras face a spatial-angular resolution tradeoff due to a single shared sensor. We pro
Externí odkaz:
http://arxiv.org/abs/2405.02787
Network control theory (NCT) offers a robust analytical framework for understanding the influence of network topology on dynamic behaviors, enabling researchers to decipher how certain patterns of external control measures can steer system dynamics t
Externí odkaz:
http://arxiv.org/abs/2405.03706
In this paper, we study the problem of unsupervised graph representation learning by harnessing the control properties of dynamical networks defined on graphs. Our approach introduces a novel framework for contrastive learning, a widely prevalent tec
Externí odkaz:
http://arxiv.org/abs/2403.04923
This paper introduces a set of customizable and novel cost functions that enable the user to easily specify desirable robot formations, such as a ``high-coverage'' infrastructure-inspection formation, while maintaining high relative pose estimation a
Externí odkaz:
http://arxiv.org/abs/2403.00988
Autor:
Wahab, Sarmed, Suleiman, Mohamed, Shabbir, Faisal, Mahmoudabadi, Nasim Shakouri, Waqas, Sarmad, Herl, Nouman, Ahmad, Afaq
This article deals with the study of predicting the confinement effect of carbon fiber reinforced polymers (CFRPs) on concrete cylinder strength using metaheuristics-based artificial neural networks. A detailed database of 708 CFRP confined concrete
Externí odkaz:
http://arxiv.org/abs/2403.13809