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This paper evaluates the performance of algorithms suitable to process the measurements from two laser beam metrology systems, in particular with reference to the Gaia Basic Angle Monitoring device. The system and signal characteristics are…

Instrumentation and Methods for Astrophysics · Physics 2014-08-05 Mario Gai , Alberto Riva , Deborah Busonero , Raffaella Buzzi , Federico Russo

The beta-strength in beta-delayed particle decays has up to now been defined in a somewhat ad hoc manner that depends on the decay mechanism. A simple, consistent definition is presented that fulfils the beta strength sum rules. Special…

Nuclear Experiment · Physics 2014-02-28 K Riisager

In the future neutrino experiments, a beta-beam, which can produce pure electron neutrino beam, is expected to achive precise measurement of the neutrino oscillation parameters. In the $\nu_{\mu}$ appearance measurement of a beta-beam, a…

High Energy Physics - Experiment · Physics 2010-01-05 Chizue Ishihara

The neutrino mixing angle theta(13) is at the focus of current neutrino research. From a global analysis of the available oscillation data in a 3-neutrino framework, we previously reported [Phys. Rev. Lett. 101, 141801 (2008)] hints in…

High Energy Physics - Phenomenology · Physics 2013-05-29 G. L. Fogli , E. Lisi , A. Marrone , A. Palazzo , A. M. Rotunno

Neutrinoless double beta ($0\nu\beta\beta$) decay is the most promising way to determine whether neutrinos are Majorana particles. There are many experiments based on different isotopes searching for $0\nu\beta\beta$ decay. Combining the…

High Energy Physics - Phenomenology · Physics 2024-04-18 Shao-Long Chen , Yu-Qi Xiao

Possible alternatives to tri-bimaximal mixing are presented based on other symmetry principles, and their predictions for |U_{e3}|, sin^2 theta_{12} and sin^2 theta_{23} are compared to the present neutrino mixing data. In some cases…

High Energy Physics - Phenomenology · Physics 2010-12-15 Carl H. Albright , Alexander Dueck , Werner Rodejohann

Deep learning models have revolutionized various fields, from image recognition to natural language processing, by achieving unprecedented levels of accuracy. However, their increasing energy consumption has raised concerns about their…

Machine Learning · Computer Science 2024-09-18 Shreyank N Gowda , Xinyue Hao , Gen Li , Shashank Narayana Gowda , Xiaobo Jin , Laura Sevilla-Lara

Experimental work with solar neutrinos has illuminated the properties of neutrinos and tested models of how the sun produces its energy. Three experiments continue to take data, and at least seven are in various stages of planning or…

Nuclear Experiment · Physics 2009-11-11 R. G. H. Robertson

We derive both numerically and analytically Bell inequalities and quantum measurements that present enhanced resistance to detector inefficiency. In particular we describe several Bell inequalities which appear to be optimal with respect to…

Quantum Physics · Physics 2007-10-22 Serge Massar , Stefano Pironio , Jeremie Roland , Bernard Gisin

We have previously shown that the decay of high-energy neutrinos from distant astrophysical sources would be revealed by flavor ratios that deviate strongly from the $\phi_{\nu_e}:\phi_{\nu_\mu}:\phi_{\nu_\tau} = 1:1:1$ expected from…

High Energy Physics - Phenomenology · Physics 2008-11-26 John F. Beacom , Nicole F. Bell , Dan Hooper , Sandip Pakvasa , Thomas J. Weiler

We consider filters for the detection and extraction of compact sources on a background. We make a one-dimensional treatment (though a generalization to two or more dimensions is possible) assuming that the sources have a Gaussian profile…

Astrophysics · Physics 2009-11-10 M. Lopez-Caniego , D. Herranz , R. B. Barreiro , J. L. Sanz

Two popular boosted decsion tree (BDT) methods, Adaptive BDT (AdaBDT) and Gradient BDT (GradBDT) are studied in the classification problem of separating signal from background assuming all trees are weak learners. The following results are…

Data Analysis, Statistics and Probability · Physics 2018-11-13 Li-Gang Xia

Traditional approaches to estimating beta in finance often involve rigid assumptions and fail to adequately capture beta dynamics, limiting their effectiveness in use cases like hedging. To address these limitations, we have developed a…

Statistical Finance · Quantitative Finance 2024-10-29 Yuxin Liu , Jimin Lin , Achintya Gopal

The search for neutrino-less double-beta decay has been a very active field of research in the last decade. Neutrino-less double-beta decay may answer essential open questions in neutrino physics. While double-beta decay accompanied by the…

Nuclear Experiment · Physics 2019-08-14 Delia Tosi

The tetra-maximal neutrino mixing pattern predicts a relatively large reactor mixing angle theta_13 \approx 8.4^\circ, which is in good agreement with the latest best-fit value theta_13 = 9^\circ. However, its prediction for theta_12…

High Energy Physics - Phenomenology · Physics 2015-05-28 He Zhang , Shun Zhou

In free-space optical communications and other applications, it is desirable to design optical beams that have reduced or even minimal scintillation. However, the optimization problem for minimizing scintillation is challenging, and few…

Optics · Physics 2025-10-13 Qin Li , Anjali Nair , Samuel N Stechmann

It is important to identify and reduce the gamma radiation which can be a significant source of background for any double beta decay experiment. The TIN.TIN detector array, which is under development for the search of Neutrinoless Double…

Instrumentation and Detectors · Physics 2015-08-03 V. Singh , N. Dokania , S. Mathimalar , V. Nanal , R. G. Pillay

This article reports an improved independent measurement of neutrino mixing angle $\theta_{13}$ at the Daya Bay Reactor Neutrino Experiment. Electron antineutrinos were identified by inverse $\beta$-decays with the emitted neutron captured…

High Energy Physics - Experiment · Physics 2016-04-26 Daya Bay Collaboration , F. P. An , A. B. Balantekin , H. R. Band , M. Bishai , S. Blyth , D. Cao , G. F. Cao , J. Cao , W. R. Cen , Y. L. Chan , J. F. Chang , L. C. Chang , Y. Chang , H. S. Chen , Q. Y. Chen , S. M. Chen , Y. X. Chen , Y. Chen , J. H. Cheng , J. -H. Cheng , J. Cheng , Y. P. Cheng , Z. K. Cheng , J. J. Cherwinka , M. C. Chu , A. Chukanov , J. P. Cummings , J. de Arcos , Z. Y. Deng , X. F. Ding , Y. Y. Ding , M. V. Diwan , M. Dolgareva , J. Dove , D. A. Dwyer , W. R. Edwards , R. Gill , M. Gonchar , G. H. Gong , H. Gong , M. Grassi , W. Q. Gu , M. Y. Guan , L. Guo , R. P. Guo , X. H. Guo , Z. Guo , R. W. Hackenburg , R. Han , S. Hans , M. He , K. M. Heeger , Y. K. Heng , A. Higuera , Y. K. Hor , Y. B. Hsiung , B. Z. Hu , T. Hu , W. Hu , E. C. Huang , H. X. Huang , X. T. Huang , P. Huber , W. Huo , G. Hussain , D. E. Jaffe , P. Jaffke , K. L. Jen , S. Jetter , X. P. Ji , X. L. Ji , J. B. Jiao , R. A. Johnson , J. Joshi , L. Kang , S. H. Kettell , S. Kohn , M. Kramer , K. K. Kwan , M. W. Kwok , T. Kwok , T. J. Langford , K. Lau , L. Lebanowski , J. Lee , J. H. C. Lee , R. T. Lei , R. Leitner , J. K. C. Leung , C. Li , D. J. Li , F. Li , G. S. Li , Q. J. Li , S. Li , S. C. Li , W. D. Li , X. N. Li , Y. F. Li , Z. B. Li , H. Liang , C. J. Lin , G. L. Lin , S. Lin , S. K. Lin , Y. -C. Lin , J. J. Ling , J. M. Link , L. Littenberg , B. R. Littlejohn , D. W. Liu , J. J. Liu , J. L. Liu , J. C. Liu , C. W. Loh , C. Lu , H. Q. Lu , J. S. Lu , K. B. Luk , Z. Lv , Q. M. Ma , X. Y. Ma , X. B. Ma , Y. Q. Ma , Y. Malyshkin , D. A. Martinez Caicedo , K. T. McDonald , R. D. McKeown , I. Mitchell , M. Mooney , Y. Nakajima , J. Napolitano , D. Naumov , E. Naumova , H. Y. Ngai , Z. Ning , J. P. Ochoa-Ricoux , A. Olshevskiy , H. -R. Pan , J. Park , S. Patton , V. Pec , J. C. Peng , L. Pinsky , C. S. J. Pun , F. Z. Qi , M. Qi , X. Qian , N. Raper , J. Ren , R. Rosero , B. Roskovec , X. C. Ruan , H. Steiner , G. X. Sun , J. L. Sun , W. Tang , D. Taychenachev , T. Konstantin , K. V. Tsang , C. E. Tull , N. Viaux , B. Viren , V. Vorobel , C. H. Wang , M. Wang , N. Y. Wang , R. G. Wang , W. Wang , W. W. Wang , X. Wang , Y. F. Wang , Z. Wang , Z. Wang , Z. M. Wang , H. Y. Wei , L. J. Wen , K. Whisnant , C. G. White , L. Whitehead , T. Wise , H. L. H. Wong , S. C. F. Wong , E. Worcester , C. -H. Wu , Q. Wu , D. M. Xia , J. K. Xia , Z. Z. Xing , J. Y. Xu , J. L. Xu , J. Xu , Y. Xu , T. Xue , J. Yan , C. G. Yang , H. Yang , L. Yang , M. S. Yang , M. T. Yang , M. Ye , Z. Ye , M. Yeh , B. L. Young , G. Y. Yu , Z. Y. Yu , L. Zhan , C. Zhang , H. H. Zhang , J. W. Zhang , Q. M. Zhang , X. T. Zhang , Y. M. Zhang , Y. X. Zhang , Y. M. Zhang , Z. J. Zhang , Z. Y. Zhang , Z. P. Zhang , J. Zhao , Q. W. Zhao , Y. F. Zhao , Y. B. Zhao , W. L. Zhong , L. Zhou , N. Zhou , H. L. Zhuang , J. H. Zou

With the advent of big data applications, which tends to have longer execution time, choosing the right cloud VM to run these applications has significant performance as well as economic implications. For example, in our large-scale…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-01-01 Chin-Jung Hsu , Vivek Nair , Vincent W. Freeh , Tim Menzies

This paper investigates a new class of modifier-adaptation schemes to overcome plant-model mismatch in real-time optimization of uncertain processes. The main contribution lies in the integration of concepts from the areas of Bayesian…