Zobrazeno 1 - 10
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pro vyhledávání: '"Daniels AS"'
Autor:
Agazie, Gabriella, Anumarlapudi, Akash, Archibald, Anne M., Arzoumanian, Zaven, Baier, Jeremy G., Baker, Paul T., Becsy, Bence, Blecha, Laura, Brazier, Adam, Brook, Paul R., Burke-Spolaor, Sarah, Casey-Clyde, J. Andrew, Charisi, Maria, Chatterjee, Shami, Cohen, Tyler, Cordes, James M., Cornish, Neil J., Crawford, Fronefield, Cromartie, H. Thankful, Crowter, Kathryn, DeCesar, Megan E., Demorest, Paul B., Deng, Heling, Dey, Lankeswar, Dolch, Timothy, Ferrara, Elizabeth C., Fiore, William, Fonseca, Emmanuel, Freedman, Gabriel E., Gardiner, Emiko C., Garver-Daniels, Nate, Gentile, Peter A., Gersbach, Kyle A., Glaser, Joseph, Good, Deborah C., Guertin, Lydia, Gultekin, Kayhan, Hazboun, Jeffrey S., Jennings, Ross J., Johnson, Aaron D., Jones, Megan L., Kaiser, Andrew R., Kaplan, David L., Kelley, Luke Zoltan, Kerr, Matthew, Key, Joey S., Laal, Nima, Lam, Michael T., Lamb, William G., Larsen, Bjorn, Lazio, T. Joseph W., Lewandowska, Natalia, Liu, Tingting, Lorimer, Duncan R., Luo, Jing, Lynch, Ryan S., Ma, Chung-Pei, Madison, Dustin R., McEwen, Alexander, McKee, James W., McLaughlin, Maura A., McMann, Natasha, Meyers, Bradley W., Meyers, Patrick M., Middleton, Hannah, Mingarelli, Chiara M. F., Mitridate, Andrea, Moore, Christopher J., Ng, Cherry, Nice, David J., Ocker, Stella Koch, Olum, Ken D., Pennucci, Timothy T., Perera, Benetge B. P., Pol, Nihan S., Radovan, Henri A., Ransom, Scott M., Ray, Paul S., Romano, Joseph D., Runnoe, Jessie C., Saffer, Alexander, Sardesai, Shashwat C., Schmiedekamp, Ann, Schmiedekamp, Carl, Schmitz, Kai, Shapiro-Albert, Brent J., Siemens, Xavier, Simon, Joseph, Siwek, Magdalena S., Fiscella, Sophia V. Sosa, Stairs, Ingrid H., Stinebring, Daniel R., Stovall, Kevin, Susobhanan, Abhimanyu, Swiggum, Joseph K., Taylor, Stephen R., Turner, Jacob E., Unal, Caner, Vallisneri, Michele, Vecchio, Alberto, Vigeland, Sarah J., Wahl, Haley M., Witt, Caitlin A., Wright, David, Young, Olivia
Evidence has emerged for a stochastic signal correlated among 67 pulsars within the 15-year pulsar-timing data set compiled by the NANOGrav collaboration. Similar signals have been found in data from the European, Indian, Parkes, and Chinese PTAs. Th
Externí odkaz:
http://arxiv.org/abs/2411.14846
Autor:
Ottomano, Federico, Goulermas, John Y., Gusev, Vladimir, Savani, Rahul, Gaultois, Michael W., Manning, Troy D., Lin, Hai, Manzanera, Teresa P., Poole, Emmeline G., Dyer, Matthew S., Claridge, John B., Alaria, Jon, Daniels, Luke M., Varma, Su, Rimmer, David, Sanderson, Kevin, Rosseinsky, Matthew J.
Machine Learning (ML) has offered innovative perspectives for accelerating the discovery of new functional materials, leveraging the increasing availability of material databases. Despite the promising advances, data-driven methods face constraints i
Externí odkaz:
http://arxiv.org/abs/2411.14034
Autor:
Geiger, Abra, Cordes, James M., Lam, Michael T., Ocker, Stella Koch, Chatterjee, Shami, Arzoumanian, Zaven, Battaglia, Ava L., Blumer, Harsha, Brook, Paul R., Combs, Olivia A., Cromartie, H. Thankful, DeCesar, Megan E., Demorest, Paul B., Dolch, Timothy, Ellis, Justin A., Ferdman, Robert D., Ferrara, Elizabeth C., Fonseca, Emmanuel, Garver-Daniels, Nate, Gentile, Peter A., Good, Deborah C., Jones, Megan L., Lorimer, Duncan R., Luo, Jing, Lynch, Ryan S., McLaughlin, Maura A., Ng, Cherry, Nice, David J., Pennucci, Timothy T., Pol, Nihan S., Ransom, Scott M., Spiewak, Renée, Stairs, Ingrid H., Stovall, Kevin, Swiggum, Joseph K., Vigeland, Sarah J.
Free electrons in the interstellar medium refract and diffract radio waves along multiple paths, resulting in angular and temporal broadening of radio pulses that limits pulsar timing precision. We determine multifrequency, multi-epoch scattering tim
Externí odkaz:
http://arxiv.org/abs/2411.08191
Autor:
Ray, Dwaipayan, Collister, Robert, Rasiwala, Hussain, Backes, Lucas, Balbuena, Ali V., Brunner, Thomas, Casandjian, Iroise, Chambers, Chris, vitan, Megan, Daniels, Tim, Dilling, Jens, Elmansali, Ryan, Fairbank, William, Fudenberg, Daniel, Gornea, Razvan, Gratta, Giorgio, Iverson, Alec, Kwiatkowski, Anna A., Leach, Kyle G., Lennarz, Annika, Li, Zepeng, Medina-Peregrina, Melissa, Murray, Kevin, Sullivan, Kevin O, Ross, Regan, Shaikh, Raad, Shang, Xiao, Soderstrom, Joseph, Varentsov, Victor, Yang, Liang
Neutrinoless double beta decay ($0 \nu \beta \beta$) provides a way to probe physics beyond the Standard Model of particle physics. The upcoming nEXO experiment will search for $0\nu\beta\beta$ decay in $^{136}$Xe with a projected half-life sensitivi
Externí odkaz:
http://arxiv.org/abs/2410.18138
Autor:
Obrero, Caitlyn, Tirfe, Mastawal, Lee, Carmen, Saptarshi, Sourabh, Rock, Christopher, Daniels, Karen E., Newhall, Katherine A.
Naturally occurring materials are often disordered, with their bulk properties being challenging to predict from the structure, due to the lack of underlying crystalline axes. In this paper, we develop a digital pipeline from algorithmically-created
Externí odkaz:
http://arxiv.org/abs/2410.11525
Autor:
Daniëls, Noah, Geerts, Floris
Graph Neural Networks (GNNs) have become an essential tool for analyzing graph-structured data, leveraging their ability to capture complex relational information. While the expressivity of GNNs, particularly their equivalence to the Weisfeiler-Leman
Externí odkaz:
http://arxiv.org/abs/2410.07829
Cavitation is a process where bubbles form and collapse within a fluid with dynamic, spatially varying pressure. This phenomenon can concentrate energy density by 12 orders of magnitude, creating light-emitting plasma or damaging nearby surfaces. A k
Externí odkaz:
http://arxiv.org/abs/2410.05244
Volatile memristors have recently gained popularity as promising devices for neuromorphic circuits, capable of mimicking the leaky function of neurons and offering advantages over capacitor-based circuits in terms of power dissipation and area. Addit
Externí odkaz:
http://arxiv.org/abs/2409.17723
This work presents a simple and robust method to construct a B-spline based Everett map, for application in the Preisach model of hysteresis, to predict static hysteresis behavior. Its strength comes from the ability to directly capture the Everett m
Externí odkaz:
http://arxiv.org/abs/2410.02797