Zobrazeno 1 - 10
of 18 388
pro vyhledávání: '"Hilton, P"'
Autor:
Ding, Jupiter, Dalal, Roohi, Sunayama, Tomomi, Strauss, Michael A., Oguri, Masamune, Okabe, Nobuhiro, Hilton, Matt, Monteiro-Oliveira, Rogério, Sifón, Cristóbal, Staggs, Suzanne T.
The "miscentering effect," i.e., the offset between a galaxy cluster's optically-defined center and the center of its gravitational potential, is a significant systematic effect on brightest cluster galaxy (BCG) studies and cluster lensing analyses.
Externí odkaz:
http://arxiv.org/abs/2411.12120
Autor:
Chen, Kai-Feng, Wilensky, Michael J., Liu, Adrian, Dillon, Joshua S., Hewitt, Jacqueline N., Adams, Tyrone, Aguirre, James E., Baartman, Rushelle, Beardsley, Adam P., Berkhout, Lindsay M., Bernardi, Gianni, Billings, Tashalee S., Bowman, Judd D., Bull, Philip, Burba, Jacob, Byrne, Ruby, Carey, Steven, Choudhuri, Samir, Cox, Tyler, DeBoer, David R., Dexter, Matt, Eksteen, Nico, Ely, John, Ewall-Wice, Aaron, Furlanetto, Steven R., Gale-Sides, Kingsley, Garsden, Hugh, Gehlot, Bharat Kumar, Gorce, Adélie, Gorthi, Deepthi, Halday, Ziyaad, Hazelton, Bryna J., Hickish, Jack, Jacobs, Daniel C., Josaitis, Alec, Kern, Nicholas S., Kerrigan, Joshua, Kittiwisit, Piyanat, Kolopanis, Matthew, La Plante, Paul, Lanman, Adam, Ma, Yin-Zhe, MacMahon, David H. E., Malan, Lourence, Malgas, Cresshim, Malgas, Keith, Marero, Bradley, Martinot, Zachary E., McBride, Lisa, Mesinger, Andrei, Mohamed-Hinds, Nicel, Molewa, Mathakane, Morales, Miguel F., Murray, Steven G., Nuwegeld, Hans, Parsons, Aaron R., Pascua, Robert, Qin, Yuxiang, Rath, Eleanor, Razavi-Ghods, Nima, Robnett, James, Santos, Mario G., Sims, Peter, Singh, Saurabh, Storer, Dara, Swarts, Hilton, Tan, Jianrong, van Wyngaarden, Pieter, Zheng, Haoxuan
The precise characterization and mitigation of systematic effects is one of the biggest roadblocks impeding the detection of the fluctuations of cosmological 21cm signals. Missing data in radio cosmological experiments, often due to radio frequency i
Externí odkaz:
http://arxiv.org/abs/2411.10529
Autor:
Goemans, Arthur, Buhl, Marie Davidsen, Schuett, Jonas, Korbak, Tomek, Wang, Jessica, Hilton, Benjamin, Irving, Geoffrey
Frontier artificial intelligence (AI) systems pose increasing risks to society, making it essential for developers to provide assurances about their safety. One approach to offering such assurances is through a safety case: a structured, evidence-bas
Externí odkaz:
http://arxiv.org/abs/2411.08088
Autor:
Coulton, William R., Duivenvoorden, Adriaan J., Atkins, Zachary, Battaglia, Nicholas, Battistelli, Elia Stefano, Bond, J Richard, Cai, Hongbo, Calabrese, Erminia, Choi, Steve K., Crowley, Kevin T., Devlin, Mark J., Dunkley, Jo, Ferraro, Simone, Guan, Yilun, Hervías-Caimapo, Carlos, Hill, J. Colin, Hilton, Matt, Hincks, Adam D., Kosowsky, Arthur, Madhavacheril, Mathew S., van Marrewijk, Joshiwa, McCarthy, Fiona, Moodley, Kavilan, Mroczkowski, Tony, Niemack, Michael D., Page, Lyman A., Partridge, Bruce, Schaan, Emmanuel, Sehgal, Neelima, Sherwin, Blake, Sifón, Cristóbal, Spergel, David N., Staggs, Suzanne T., Vavagiakis, Eve M., Wollack, Edward J.
The high electron temperature in galaxy clusters ($>1\,$keV or $>10^7\,$K) leads to corrections at the level of a few percent in their thermal Sunyaev-Zeldovich effect signatures. Both the size and frequency dependence of these corrections, which are
Externí odkaz:
http://arxiv.org/abs/2410.19046
Autor:
Isopi, G., Capalbo, V., Hincks, A. D., Di Mascolo, L., Barbavara, E., Battistelli, E. S., Bond, J. R., Cui, W., Coulton, W. R., De Petris, M., Devlin, M., Dolag, K., Dunkley, J., Fabjan, D., Ferragamo, A., Gill, A. S., Guan, Y., Halpern, M., Hilton, M., Hughes, J. P., Lokken, M., van Marrewijk, J., Moodley, K., Mroczkowski, T., Orlowski-Scherer, J., Rasia, E., Santoni, S., Sifón, C., Wollack, E. J., Yepes, G.
According to CMB measurements, baryonic matter constitutes about $5\%$ of the mass-energy density of the universe. A significant population of these baryons, for a long time referred to as `missing', resides in a low density, warm-hot intergalactic m
Externí odkaz:
http://arxiv.org/abs/2410.14404
Recent illumination estimation methods have focused on enhancing the resolution and improving the quality and diversity of the generated textures. However, few have explored tailoring the neural network architecture to the Equirectangular Panorama (E
Externí odkaz:
http://arxiv.org/abs/2410.13566
Autor:
Wu, Gabriel, Hilton, Jacob
We consider the problem of low probability estimation: given a machine learning model and a formally-specified input distribution, how can we estimate the probability of a binary property of the model's output, even when that probability is too small
Externí odkaz:
http://arxiv.org/abs/2410.13211
Autor:
Gyawali, Gaurav, Cochran, Tyler, Lensky, Yuri, Rosenberg, Eliott, Karamlou, Amir H., Kechedzhi, Kostyantyn, Berndtsson, Julia, Westerhout, Tom, Asfaw, Abraham, Abanin, Dmitry, Acharya, Rajeev, Beni, Laleh Aghababaie, Andersen, Trond I., Ansmann, Markus, Arute, Frank, Arya, Kunal, Astrakhantsev, Nikita, Atalaya, Juan, Babbush, Ryan, Ballard, Brian, Bardin, Joseph C., Bengtsson, Andreas, Bilmes, Alexander, Bortoli, Gina, Bourassa, Alexandre, Bovaird, Jenna, Brill, Leon, Broughton, Michael, Browne, David A., Buchea, Brett, Buckley, Bob B., Buell, David A., Burger, Tim, Burkett, Brian, Bushnell, Nicholas, Cabrera, Anthony, Campero, Juan, Chang, Hung-Shen, Chen, Zijun, Chiaro, Ben, Claes, Jahan, Cleland, Agnetta Y., Cogan, Josh, Collins, Roberto, Conner, Paul, Courtney, William, Crook, Alexander L., Das, Sayan, Debroy, Dripto M., De Lorenzo, Laura, Barba, Alexander Del Toro, Demura, Sean, Di Paolo, Agustin, Donohoe, Paul, Drozdov, Ilya, Dunsworth, Andrew, Earle, Clint, Eickbusch, Alec, Elbag, Aviv Moshe, Elzouka, Mahmoud, Erickson, Catherine, Faoro, Lara, Fatemi, Reza, Ferreira, Vinicius S., Burgos, Leslie Flores, Forati, Ebrahim, Fowler, Austin G., Foxen, Brooks, Ganjam, Suhas, Gasca, Robert, Giang, William, Gidney, Craig, Gilboa, Dar, Gosula, Raja, Dau, Alejandro Grajales, Graumann, Dietrich, Greene, Alex, Gross, Jonathan A., Habegger, Steve, Hamilton, Michael C., Hansen, Monica, Harrigan, Matthew P., Harrington, Sean D., Heslin, Stephen, Heu, Paula, Hill, Gordon, Hilton, Jeremy, Hoffmann, Markus R., Huang, Hsin-Yuan, Huff, Ashley, Huggins, William J., Ioffe, Lev B., Isakov, Sergei V., Jeffrey, Evan, Jiang, Zhang, Jones, Cody, Jordan, Stephen, Joshi, Chaitali, Juhas, Pavol, Kafri, Dvir, Kang, Hui, Khaire, Trupti, Khattar, Tanuj, Khezri, Mostafa, Kieferová, Mária, Kim, Seon, Klimov, Paul V., Klots, Andrey R., Kobrin, Bryce, Korotkov, Alexander N., Kostritsa, Fedor, Kreikebaum, John Mark, Kurilovich, Vladislav D., Landhuis, David, Lange-Dei, Tiano, Langley, Brandon W., Laptev, Pavel, Lau, Kim-Ming, Guevel, Loïck Le, Ledford, Justin, Lee, Joonho, Lee, Kenny, Lester, Brian J., Li, Wing Yan, Lill, Alexander T., Liu, Wayne, Livingston, William P., Locharla, Aditya, Lundahl, Daniel, Lunt, Aaron, Madhuk, Sid, Maloney, Ashley, Mandrà, Salvatore, Martin, Leigh S., Martin, Steven, Martin, Orion, Maxfield, Cameron, McClean, Jarrod R., McEwen, Matt, Meeks, Seneca, Megrant, Anthony, Mi, Xiao, Miao, Kevin C., Mieszala, Amanda, Molina, Sebastian, Montazeri, Shirin, Morvan, Alexis, Movassagh, Ramis, Neill, Charles, Nersisyan, Ani, Newman, Michael, Nguyen, Anthony, Nguyen, Murray, Ni, Chia-Hung, Niu, Murphy Yuezhen, Oliver, William D., Ottosson, Kristoffer, Pizzuto, Alex, Potter, Rebecca, Pritchard, Orion, Pryadko, Leonid P., Quintana, Chris, Reagor, Matthew J., Rhodes, David M., Roberts, Gabrielle, Rocque, Charles, Rubin, Nicholas C., Saei, Negar, Sankaragomathi, Kannan, Satzinger, Kevin J., Schurkus, Henry F., Schuster, Christopher, Shearn, Michael J., Shorter, Aaron, Shutty, Noah, Shvarts, Vladimir, Sivak, Volodymyr, Skruzny, Jindra, Small, Spencer, Smith, W. Clarke, Springer, Sofia, Sterling, George, Suchard, Jordan, Szalay, Marco, Szasz, Aaron, Sztein, Alex, Thor, Douglas, Torunbalci, M. Mert, Vaishnav, Abeer, Vdovichev, Sergey, Vidal, Guifré, Heidweiller, Catherine Vollgraff, Waltman, Steven, Wang, Shannon X., White, Theodore, Wong, Kristi, Woo, Bryan W. K., Xing, Cheng, Yao, Z. Jamie, Yeh, Ping, Ying, Bicheng, Yoo, Juhwan, Yosri, Noureldin, Young, Grayson, Zalcman, Adam, Zhang, Yaxing, Zhu, Ningfeng, Zobrist, Nicholas, Boixo, Sergio, Kelly, Julian, Lucero, Erik, Chen, Yu, Smelyanskiy, Vadim, Neven, Hartmut, Kovrizhin, Dmitry, Knolle, Johannes, Halimeh, Jad C., Aleiner, Igor, Moessner, Roderich, Roushan, Pedram
One of the most challenging problems in the computational study of localization in quantum manybody systems is to capture the effects of rare events, which requires sampling over exponentially many disorder realizations. We implement an efficient pro
Externí odkaz:
http://arxiv.org/abs/2410.06557
Autor:
Santana, Hilton Marques Souza, Soares, João Carlos Virgolino, Nisticò, Ylenia, Meggiolaro, Marco Antonio, Semini, Claudio
Accurate state estimation is crucial for legged robot locomotion, as it provides the necessary information to allow control and navigation. However, it is also challenging, especially in scenarios with uneven and slippery terrain. This paper presents
Externí odkaz:
http://arxiv.org/abs/2410.05256
Christiano et al. (2022) define a *heuristic estimator* to be a hypothetical algorithm that estimates the values of mathematical expressions from arguments. In brief, a heuristic estimator $\mathbb{G}$ takes as input a mathematical expression $Y$ and
Externí odkaz:
http://arxiv.org/abs/2410.01290