Results 101 to 110 of about 848,123 (320)

Freeze-in dark matter from secret neutrino interactions

Journal of High Energy Physics, 2020
We investigate a simplified freeze-in dark-matter model in which the dark matter only interacts with the standard-model neutrinos via a light scalar.
Yong Du, Fei Huang, Hao-Lin Li, Jiang-Hao Yu   +3 more
doaj   +1 more source

Collider physics: beyond the standard model [PDF]

Journal of Physics G: Nuclear and Particle Physics, 2000
We discuss the phenomenological implications of extensions of the standard model capable of solving the hierarchy problem.
openaire   +1 more source

Exotic sterile neutrinos and pseudo-Goldstone phenomenology

Journal of High Energy Physics, 2019
We study the phenomenology of a light (GeV scale) sterile neutrino sector and the pseudo-Goldstone boson (not the majoron) associated with a global symmetry in this sector that is broken at a high scale.
Bibhushan Shakya, James D. Wells
doaj   +1 more source

Looking Beyond the Standard Model through Precision Electroweak Physics

, 1996
The most important hint of physics beyond the Standard Model (SM) from the 1995 precision electroweak data is that the most precisely measured quantities, the total, leptonic and hadronic decay widths of the $Z$ and the effective weak mixing angle, $\sin^
Hagiwara, Kaoru
core   +1 more source

Enhanced dose prediction for head and neck cancer artificial intelligence‐driven radiotherapy based on transfer learning with limited training data

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Training deep learning dose prediction models for the latest cutting‐edge radiotherapy techniques, such as AI‐based nodal radiotherapy (AINRT) and Daily Adaptive AI‐based nodal radiotherapy (DA‐AINRT), is challenging due to limited data.
Hui‐Ju Wang, Austen Maniscalco, David Sher, Mu‐Han Lin, Steve Jiang, Dan Nguyen   +5 more
wiley   +1 more source

Left hippocampus sparing model for glioblastoma radiotherapy by utilizing knowledge‐based planning and multi‐criteria optimization

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Results of a prospective, randomized controlled trial at our institute demonstrate an association between the dose to the left hippocampus and neurocognitive decline post‐radiotherapy for patients with glioblastoma. To minimize the dose to the left hippocampus, a left hippocampus sparing model was created using RapidPlan (RP) and multi‐
Shima Y. Tari, Amr Heikal, Connie Le, Fan Yang, Deepak Dinakaran, John Amanie, Albert Murtha, Lindsay S. Rowe, Wilson H. Roa, Samir Patel   +9 more
wiley   +1 more source

Leptogenesis from a U(1) D resonance

Journal of High Energy Physics, 2020
We propose a novel mechanism to realize leptogenesis through the Breit- Wigner resonance of a dark U(1) D gauge boson Z D , which mediates lepton number vi- olating annihilations of dark matter (DM) in the context of the scotogenic model with a U(1) D ...
Eung Jin Chun, Arnab Dasgupta, Sin Kyu Kang   +2 more
doaj   +1 more source

From 2D to 3D gamma passing rate tolerance and action limits for patient‐specific quality assurance in volumetric‐modulated arc therapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Volumetric modulated arc therapy (VMAT) requires an accurate patient‐specific quality assurance (PSQA) program. In clinical practice, this is usually performed using the γ‐index and the two‐dimensional gamma passing rate (2D %GP). A three‐dimensional (3D) index incorporating the patient anatomy could be more useful for the 3D dose ...
Christos Zarros, George Patatoukas, Nikos Kollaros, Marina Chalkia, Andromachi Kougioumtzopoulou, Vasilios Kouloulias, Kalliopi Platoni   +6 more
wiley   +1 more source

Particle Dark Matter from Physics Beyond the Standard Model

, 2004
In this talk I contrast three different particle dark matter candidates, all motivated by new physics beyond the Standard Model: supersymmetric dark matter, Kaluza-Klein dark matter, and scalar dark matter.
Appelquist, Appelquist, Arkani-Hamed, Arkani-Hamed, Arkani-Hamed, Arkani-Hamed, Baer, Battaglia, Bennett, Benoit, Birkedal-Hansen, Bravin, Cheng, Cheng, Cheng, Cheng, Chung, Csaki, Ellis, Ellis, Ellis, Feng, Feng, Feng, Feng, Georgi, Klapdor-Kleingrothaus, Konstantin Matchev, Schnee, Servant, Spergel, Spooner, von Gersdorff   +32 more
core   +1 more source

T2‐weighted imaging of rectal cancer using a 3D fast spin echo sequence with and without deep learning reconstruction: A reader study

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose To compare image quality and clinical utility of a T2‐weighted (T2W) 3‐dimensional (3D) fast spin echo (FSE) sequence using deep learning reconstruction (DLR) versus conventional reconstruction for rectal magnetic resonance imaging (MRI).
Dan Nguyen, Sarah Palmquist, Ken‐Pin Hwang, Jingfei Ma, Usama Salem, Jia Sun, Xinzeng Wang, Jong Bum Son, Randy Ernst, Peng Wei, Harmeet Kaur, Nir Stanietzky   +11 more
wiley   +1 more source