Zobrazeno 1 - 10
of 24 363
pro vyhledávání: '"Lentz, A."'
Autor:
Guzzetti, M., Zhang, D., Goodman, C., Hanretty, C., Sinnis, J., Rosenberg, L. J, Rybka, G., Clarke, John, Siddiqi, I., Chou, A. S., Hollister, M., Knirck, S., Sonnenschein, A., Caligiure, T. J., Gleason, J. R., Hipp, A. T., Sikivie, P., Solano, M. E., Sullivan, N. S., Tanner, D. B., Khatiwada, R., Carosi, G., Du, N., Cisneros, C., Robertson, N., Woollett, N., Duffy, L. D., Boutan, C., Braine, T., Oblath, N. S., Taubman, M. S., Lentz, E., Daw, E. J., Mostyn, C., Perry, M. G., Bartram, C., Dyson, T. A., Kuo, C. L., Ruppert, S., Withers, M. O., Yi, A. K., McAllister, B. T., Buckley, J. H., Gaikwad, C., Hoffman, J., Murch, K., Russell, J., Goryachev, M., Hartman, E., Quiskamp, A., Tobar, M. E.
Axions are a well-motivated candidate for dark matter. The preeminent method to search for axion dark matter is known as the axion haloscope, which makes use of the conversion of axions to photons in a large magnetic field. Due to the weak coupling o
Externí odkaz:
http://arxiv.org/abs/2411.07172
Autor:
Hipp, A. T., Quiskamp, A., Caligiure, T. J., Gleason, J. R., Han, Y., Jois, S., Sikivie, P., Solano, M. E., Sullivan, N. S., Tanner, D. B., Goryachev, M., Hartman, E., Tobar, M. E., McAllister, B. T., Duffy, L. D., Braine, T., Burns, E., Cervantes, R., Crisosto, N., Goodman, C., Guzzetti, M., Hanretty, C., Lee, S., Korandla, H., Leum, G., Mohapatra, P., Nitta, T., Rosenberg, L. J, Rybka, G., Sinnis, J., Zhang, D., Bartram, C., Dyson, T. A., Kuo, C. L., Ruppert, S., Withers, M. O., Awida, M. H., Bowring, D., Chou, A. S., Hollister, M., Knirck, S., Sonnenschein, A., Wester, W., Brodsky, J., Carosi, G., Du, N., Roberston, N., Woollett, N., Boutan, C., Jones, A. M., LaRoque, B. H., Lentz, E., Man, N. E., Oblath, N. S., Taubman, M. S., Yang, J., Khatiwada, R., Clarke, John, Siddiqi, I., Agrawal, A., Dixit, A. V., Daw, E. J., Perry, M. G., Buckley, J. H., Gaikwad, C., Hoffman, J., Murch, K. W., Russell, J.
The Axion Dark Matter eXperiment is sensitive to narrow axion flows, given axions compose a fraction of the dark matter with a non-negligible local density. Detecting these low-velocity dispersion flows requires a high spectral resolution and careful
Externí odkaz:
http://arxiv.org/abs/2410.09203
Autor:
Rothstein, Alexander, Fischer, Ammon, Achtermann, Anthony, Icking, Eike, Hecker, Katrin, Banszerus, Luca, Otto, Martin, Trellenkamp, Stefan, Lentz, Florian, Watanabe, Kenji, Taniguchi, Takashi, Beschoten, Bernd, Dolleman, Robin J., Kennes, Dante M., Stampfer, Christoph
Twisted bilayer graphene (tBLG) near the magic angle is an interesting platform to study correlated electronic phases. These phases are gate-tunable and are closely related to the presence of flat electronic bands, isolated by single-particle band ga
Externí odkaz:
http://arxiv.org/abs/2409.08154
Autor:
Bartram, C., Boutan, C., Braine, T., Buckley, J. H., Caligiure, T. J., Carosi, G., Chou, A. S., Cisneros, C., Clarke, John, Daw, E. J., Du, N., Duffy, L. D., Dyson, T. A., Gaikwad, C., Gleason, J. R., Goodman, C., Goryachev, M., Guzzetti, M., Hanretty, C., Hartman, E., Hipp, A. T., Hoffman, J., Hollister, M., Khatiwada, R., Knirck, S., Kuo, C. L., Lentz, E., McAllister, B. T., Mostyn, C., Murch, K., Oblath, N. S., Perry, M. G., Quiskamp, A., Robertson, N., Rosenberg, L. J, Ruppert, S., Rybka, G., Siddiqi, I., Sikivie, P., Sinnis, J., Solano, M. E., Sonnenschein, A., Sullivan, N. S., Tanner, D. B., Taubman, M. S., Tobar, M. E., Withers, M. O., Woollett, N., Zhang, D.
We report the results of a QCD axion dark matter search with discovery ability for Dine-Fischler-Srednicki-Zhitnitsky (DFSZ) axions using an axion haloscope. Sub-Kelvin noise temperatures are reached with an ultra low-noise Josephson parametric ampli
Externí odkaz:
http://arxiv.org/abs/2408.15227
Autor:
Wu, Yongji, Qu, Wenjie, Tao, Tianyang, Wang, Zhuang, Bai, Wei, Li, Zhuohao, Tian, Yuan, Zhang, Jiaheng, Lentz, Matthew, Zhuo, Danyang
Sparsely-activated Mixture-of-Experts (MoE) architecture has increasingly been adopted to further scale large language models (LLMs) due to its sub-linear scaling for computation costs. However, frequent failures still pose significant challenges as
Externí odkaz:
http://arxiv.org/abs/2407.04656
Autor:
Xu, Ceyu, Wu, Yongji, Yang, Xinyu, Chen, Beidi, Lentz, Matthew, Zhuo, Danyang, Wills, Lisa Wu
As the parameter size of large language models (LLMs) continues to expand, the need for a large memory footprint and high communication bandwidth have become significant bottlenecks for the training and inference of LLMs. To mitigate these bottleneck
Externí odkaz:
http://arxiv.org/abs/2407.00467
Autor:
Murphy, R. Daniel, Casallas-Lagos, Alejandro, Mezzacappa, Anthony, Zanolin, Michele, Landfield, Ryan E., Lentz, Eric J., Marronetti, Pedro, Antelis, Javier M., Moreno, Claudia
We present an analysis of gravitational wave (GW) predictions from five two-dimensional Core Collapse Supernova (CCSN) simulations that varied only in the Equation of State (EOS) implemented. The GW signals from these simulations are used to produce
Externí odkaz:
http://arxiv.org/abs/2406.01784
Autor:
Lentz, Erik W., Felton, Ryan C.
Recent research has proposed that advanced propulsion mechanisms such as warp drives are more physically feasible than previously thought, using positive energy sources potentially sourced by known classical physics. Motivated by this, we hypothesize
Externí odkaz:
http://arxiv.org/abs/2405.19381
Autor:
Street, Winnie, Siy, John Oliver, Keeling, Geoff, Baranes, Adrien, Barnett, Benjamin, McKibben, Michael, Kanyere, Tatenda, Lentz, Alison, Arcas, Blaise Aguera y, Dunbar, Robin I. M.
This paper examines the extent to which large language models (LLMs) have developed higher-order theory of mind (ToM); the human ability to reason about multiple mental and emotional states in a recursive manner (e.g. I think that you believe that sh
Externí odkaz:
http://arxiv.org/abs/2405.18870
Autor:
Li, Thomas Z., Xu, Kaiwen, Krishnan, Aravind, Gao, Riqiang, Kammer, Michael N., Antic, Sanja, Xiao, David, Knight, Michael, Martinez, Yency, Paez, Rafael, Lentz, Robert J., Deppen, Stephen, Grogan, Eric L., Lasko, Thomas A., Sandler, Kim L., Maldonado, Fabien, Landman, Bennett A.
Statistical models for predicting lung cancer have the potential to facilitate earlier diagnosis of malignancy and avoid invasive workup of benign disease. Many models have been published, but comparative studies of their utility in different clinica
Externí odkaz:
http://arxiv.org/abs/2405.10993