Zobrazeno 1 - 10
of 16 758
pro vyhledávání: '"O’Leary, P"'
Autor:
Pittiglio, Giovanni, Leuenberger, Fabio, Mencattelli, Margherita, McCandless, Max, O'Leary, Edward, Dupont, Pierre E.
This paper introduces a novel magnetic navigation system for cardiac ablation. The system is formed from two key elements: a magnetic ablation catheter consisting of a chain of spherical permanent magnets; and an actuation system comprised of two car
Externí odkaz:
http://arxiv.org/abs/2410.16405
Autor:
Kimpson, Tom, Melatos, Andrew, O'Leary, Joseph, Carlin, Julian B., Evans, Robin J., Moran, William, Cheunchitra, Tong, Dong, Wenhao, Dunn, Liam, Greentree, Julian, O'Neill, Nicholas J., Suvorova, Sofia, Thong, Kok Hong, Vargas, Andrés F.
Pulsar timing arrays can detect continuous nanohertz gravitational waves emitted by individual supermassive black hole binaries. The data analysis procedure can be formulated within a time-domain, state-space framework, in which the radio timing obse
Externí odkaz:
http://arxiv.org/abs/2410.10087
Autor:
Eaton, Andrew, Kuthanazhi, Brinda, Canfield, Paul C., Schrunk, Benjamin, Jo, Na Hyun, Kushnirenko, Yevhen, O'Leary, Evan, Wang, Lin-Lin, Kaminski, Adam
Publikováno v:
Phys. Rev. B 110, 125150 (2024)
EuAl$_4$ is proposed to host a topological Hall state. This material also undergoes four consecutive antiferromagnetic (AFM) transitions upon cooling below TN1 = 15.4 K in the presence of charge density wave (CDW) order that sets in below TCDW = 140
Externí odkaz:
http://arxiv.org/abs/2409.16468
Autor:
Kimpson, Tom, Melatos, Andrew, O'Leary, Joseph, Carlin, Julian B., Evans, Robin J., Moran, William, Cheunchitra, Tong, Dong, Wenhao, Dunn, Liam, Greentree, Julian, O'Neill, Nicholas J., Suvorova, Sofia, Thong, Kok Hong, Vargas, Andrés F.
Continuous nanohertz gravitational waves from individual supermassive black hole binaries may be detectable with pulsar timing arrays. A novel search strategy is developed, wherein intrinsic achromatic spin wandering is tracked simultaneously with th
Externí odkaz:
http://arxiv.org/abs/2409.14613
Autor:
Kushnirenko, Yevhen, Kuthanazhi, Brinda, Schrunk, Benjamin, O'Leary, Evan, Eaton, Andrew, Slager, Robert-Jan, Ahn, Junyeong, Wang, Lin-Lin, Canfield, Paul C., Kaminski, Adam
We perform angle-resolved photoemission spectroscopy (ARPES) measurements in conjunction with density functional theory (DFT) calculations to investigate the evolution of the electronic structure of CeBi upon a series of antiferromagnetic (AFM) trans
Externí odkaz:
http://arxiv.org/abs/2409.08125
We consider minimizing finite-sum and expectation objective functions via Hessian-averaging based subsampled Newton methods. These methods allow for gradient inexactness and have fixed per-iteration Hessian approximation costs. The recent work (Na et
Externí odkaz:
http://arxiv.org/abs/2408.07268
Autor:
García-Pintos, Luis Pedro, O'Leary, Tom, Biswas, Tanmoy, Bringewatt, Jacob, Cincio, Lukasz, Brady, Lucas T., Liu, Yi-Kai
A leading approach to algorithm design aims to minimize the number of operations in an algorithm's compilation. One intuitively expects that reducing the number of operations may decrease the chance of errors. This paradigm is particularly prevalent
Externí odkaz:
http://arxiv.org/abs/2408.02764
We present a scalable and efficient framework for the inference of spatially-varying parameters of continuum materials from image observations of their deformations. Our goal is the nondestructive identification of arbitrary damage, defects, anomalie
Externí odkaz:
http://arxiv.org/abs/2408.10217
The purpose of this technical note is to summarize the relationship between the marginal variance and correlation length of a Gaussian random field with Mat\'ern covariance and the coefficients of the corresponding partial-differential-equation (PDE)
Externí odkaz:
http://arxiv.org/abs/2407.00471
Autor:
Rogers, Mitchell, Knowles, Kobe, Gendron, Gaël, Heidari, Shahrokh, Valdez, David Arturo Soriano, Azhar, Mihailo, O'Leary, Padriac, Eyre, Simon, Witbrock, Michael, Delmas, Patrice
Deep learning approaches for animal re-identification have had a major impact on conservation, significantly reducing the time required for many downstream tasks, such as well-being monitoring. We propose a method called Recurrence over Video Frames
Externí odkaz:
http://arxiv.org/abs/2406.13002