Zobrazeno 1 - 10
of 691
pro vyhledávání: '"Tibrewala, A."'
In the theory with a Majorana fermion ($X$) coupled to quark-like fermions ($Q$) via a dimension-six four-fermion vector-vector interaction, we have computed in an earlier work the baryon asymmetry generated in the decay and scattering processes of t
Externí odkaz:
http://arxiv.org/abs/2411.13231
Autor:
Govindarajan, T. R., Tibrewala, Rakesh
Landau Yang theorem is well known for the past several decades. It prohibits decay of a massive spin 1 particle to two photons. This emerges simply from the representation theory of the Poincare group and Bose Statistics. It does not require any acti
Externí odkaz:
http://arxiv.org/abs/2410.04786
Autor:
Pepi, Chrysanthos, Godala, Bhargav Reddy, Tibrewala, Krishnam, Chacon, Gino, Gratz, Paul V., Jiménez, Daniel A., Pokam, Gilles A., August, David I.
Modern processors implement a decoupled front-end in the form of Fetch Directed Instruction Prefetching (FDIP) to avoid front-end stalls. FDIP is driven by the Branch Prediction Unit (BPU), relying on the BPU's accuracy and branch target tracking str
Externí odkaz:
http://arxiv.org/abs/2408.12592
Autor:
Godala, Bhargav Reddy, Ramesh, Sankara Prasad, Tibrewala, Krishnam, Pepi, Chrysanthos, Chacon, Gino, Kanev, Svilen, Pokam, Gilles A., Jiménez, Daniel A., Gratz, Paul V., August, David I.
Modern OOO CPUs have very deep pipelines with large branch misprediction recovery penalties. Speculatively executed instructions on the wrong path can significantly change cache state, depending on speculation levels. Architects often employ trace-dr
Externí odkaz:
http://arxiv.org/abs/2408.05912
Autor:
Solomon, Eddy, Johnson, Patricia M., Tan, Zhengguo, Tibrewala, Radhika, Lui, Yvonne W., Knoll, Florian, Moy, Linda, Kim, Sungheon Gene, Heacock, Laura
This data curation work introduces the first large-scale dataset of radial k-space and DICOM data for breast DCE-MRI acquired in diagnostic breast MRI exams. Our dataset includes case-level labels indicating patient age, menopause status, lesion stat
Externí odkaz:
http://arxiv.org/abs/2406.05270
We compute the baryon asymmetry in decay and scattering processes involving the electromagnetically charge-neutral fermion $\chi$ that carries nonzero baryon number and interacts with quark-like fermions $U,D$ via a vector-vector dimension-six effect
Externí odkaz:
http://arxiv.org/abs/2311.14636
Autor:
Tibrewala, Radhika, Dutt, Tarun, Tong, Angela, Ginocchio, Luke, Keerthivasan, Mahesh B, Baete, Steven H, Chopra, Sumit, Lui, Yvonne W, Sodickson, Daniel K, Chandarana, Hersh, Johnson, Patricia M
The fastMRI brain and knee dataset has enabled significant advances in exploring reconstruction methods for improving speed and image quality for Magnetic Resonance Imaging (MRI) via novel, clinically relevant reconstruction approaches. In this study
Externí odkaz:
http://arxiv.org/abs/2304.09254
Publikováno v:
Journal of the Society for Cardiovascular Angiography & Interventions, Vol 3, Iss 10, Pp 102293- (2024)
Type A aortic dissection is a rapidly progressive disease process with often fatal complications. We present a case of focal Type A aortic dissection complicated by left main occlusion and cardiogenic shock, treated with percutaneous coronary interve
Externí odkaz:
https://doaj.org/article/6407e681da0a46af996493b5838c5464
With a goal toward explaining the observed baryon asymmetry of the Universe, we extend the standard model (SM) by adding a vector-vector dimension-six effective operator coupling a new Dirac fermion $\chi$, uncharged under the SM gauge symmetries but
Externí odkaz:
http://arxiv.org/abs/2211.12115
Autor:
Radhika Tibrewala, Tarun Dutt, Angela Tong, Luke Ginocchio, Riccardo Lattanzi, Mahesh B. Keerthivasan, Steven H. Baete, Sumit Chopra, Yvonne W. Lui, Daniel K. Sodickson, Hersh Chandarana, Patricia M. Johnson
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-9 (2024)
Abstract Magnetic resonance imaging (MRI) has experienced remarkable advancements in the integration of artificial intelligence (AI) for image acquisition and reconstruction. The availability of raw k-space data is crucial for training AI models in s
Externí odkaz:
https://doaj.org/article/ecf34d858c24409eb260e6fc114f54ee