Relevant bibliographies by topics / Rho parameter

Academic literature on the topic 'Rho parameter'

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Published: 4 June 2021
Last updated: 20 February 2023

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Journal articles on the topic "Rho parameter"

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Sun, Bao-Dong, and Yu-Bing Dong. "${\rm{\rho }}$ meson impact parameter distributions." Chinese Physics C 42, no. 6 (May 2018): 063104. http://dx.doi.org/10.1088/1674-1137/42/6/063104.

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Ezhela, V. V., V. A. Petrov, and N. P. Tkachenko. "Totem: on the Parameter $$\rho$$ at 13 TeV." Physics of Atomic Nuclei 84, no. 3 (May 2021): 298–313. http://dx.doi.org/10.1134/s1063778821020071.

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Pamungkas, Alvian Yogi, Mohammad Syamsu Rosid, and Mochammad Wahdanadi Haidar. "Identification of Hydrocarbon Gas and Discriminate CO2 Using Lame Parameter and Batzle-Wang Model." E3S Web of Conferences 125 (2019): 15003. http://dx.doi.org/10.1051/e3sconf/201912515003.

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Drilling activities in 2016 were carried out at 34 points with only achieving a success ratio of 26%. It affects the decreasing in natural gas reserves. In addition, the presence of CO2 raises problems during production and environmental problems. So, it is necessary to identify hydrocarbon gas and to discriminate CO2. The method used for gas identification is the Lame parameter where the parameters can distinguish the effects caused by lithology and fluid. The Batzle-Wang model is applied to distinguish between hydrocarbon gases and CO2 gas by estimating the fluid’s properties of CO2 gas. Based on the analysis of result the parameters Lambda-Rho and Mu-Rho, both parameters can distinguish the lithology and identify the hydrocarbon fluid content. The area around the C4 is indicated hydrocarbon in 9930 - 10000 ft depth with Lambda-Rho 30 – 31.79 GPa*g/cc and Mu-Rho 27 – 43 GPa*g/cc. Based on the Batzle-Wang Vp analysis, saturated CO2 gas is vulnerable at 16000-17000 ft/s where it is still in range Vp saturated hydrocarbon gas and distributed around the C4 well based on LMR analysis.
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Setyawan, Dendy. "Hydrocarbon Mapping on Reservoir Carbonate Using AVO Inversion Method." JPSE (Journal of Physical Science and Engineering) 6, no. 1 (May 19, 2021): 19–25. http://dx.doi.org/10.17977/um024v6i12021p019.

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Amplitude Versus Offset (AVO) inversion has been applied for reservoir analysis focused on the horizon carbonate Peutu and Belumai. Simultaneous inversion analysis is used to determine gas anomaly inside carbonate-rocks and it’s spread laterally around target zones. It is based on the fact that small Vpand Vs value changes are going to show the better anomaly to identify reservoir fluid content. The AVO inversion method applies angle gather data as the input and then it is inverted to produce P impedance (Zp) and S impedance (Zs). Zp and Zs are derived to produce Lambda-Rho and Mu-Rho that are sensitive to fluid and lithology. Value of Mu-Rho between 44–65 Gpa gr/cc while value of Lambda-Rho smaller than 10 Gpa gr/cc (for carbonate-rock filled by fluid). This research found that Lambda-Rho is the best parameter to show the existence of hydrocarbon in the case of gas. While Mu-Rho is the best parameter to show the differences in lithology.
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Aryanto, Muhamad Defi, Darsono Darsono, Julikah Julikah, and Humbang Purba. "RESERVOIR CHARACTERIZATION USING SIMULTANEOUS INVERSION TO DELINEATE HYDROCARBON RESERVOIR." Scientific Contributions Oil and Gas 37, no. 3 (February 15, 2022): 185–94. http://dx.doi.org/10.29017/scog.37.3.639.

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Reservoir characterization analysis has been carried out for identifying lithology and Àuid content on TalangAkarFormation in South Sumatra Basin. Robust method that being used in this study is the simultaneous inversion which uses pre-stack gather and well log data from Puja A and Puja B. Elastic parameters resulted from simultaneous inversion are P Impedance, S Impedance and V / V ratio. Lambda-Rho parameter (lr) and Mu-Rho (mr) derived from P impedance (I ) and S impedance (I ). Lambda-Rho is sensitive to Àuid content while Mu-Rho to lithology. Area of interest in this study is Talang Akar Formation as reservoir which contains gas with Lambda-Rho (lr) between 5-15 (GPa*g/cc) and Mu-Rho (mr) 35-45 (GPa*g/cc). The ratio of P wave (Vp) and S wave (Vs) can be used as an indicator to determine Àuid saturation. Gas saturated rock has value of Vp / Vs lower than the water saturated rock. In this study, the ratio of Vp / Vs is 1.5-1.7 for gas saturated rock
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Bartoš, E., S. Dubnička, A. Z. Dubničková, M. Fujikawa, and H. Hayashii. "Parameter differences of the charged and neutral rho-meson family." Nuclear Physics B - Proceedings Supplements 198, no. 1 (January 2010): 186–89. http://dx.doi.org/10.1016/j.nuclphysbps.2009.12.036.

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PATRA, S. K., and C. R. PRAHARAJ. "RHO-MESON-NUCLEON COUPLING IN RELATIVISTIC MEAN FIELD THEORY." Modern Physics Letters A 06, no. 35 (November 20, 1991): 3213–19. http://dx.doi.org/10.1142/s0217732391003705.

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We obtain a more accurate rho-meson-nucleon coupling constant gρ for studying nuclei in relativistic mean field theory of nucleons and mesons than used before. With this gρ we get a better description of finite nuclei. We have studied a number of isotopic chains of neutron-rich nuclei using the new gρ parameter, with important consequences for very neutron-rich exotic nuclei and the neutron-drip line. The binding energies are sensitive to the coupling constant gρ, but the rms radii and deformation parameters of nuclei are not at all sensitive to gρ.
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Besse, Adrien, Lech Szymanowski, and Samuel Wallon. "High Energy Rho Meson Leptoproduction §." Open Physics Journal 1, no. 1 (December 31, 2014): 33–35. http://dx.doi.org/10.2174/1874843001401010033.

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We investigate the longitudinal and transverse polarized cross-sections of the leptoproduction of the ρ meson in the high energy limit. Our model is based on the computation of the impact factor γ*(λγ)→ ρ (λρ) using the twist expansion in the forward limit which is expressed in the impact parameter space. This treatment involves in the final stage the twist 2 and twist 3 distribution amplitudes (DAs) of the ρ meson and the dipole scattering amplitude. Taking models that exist for the DAs and for the dipole cross-section. We get a phenomenological model for the helicity amplitudes. We compare our predictions with HERA data and get a fairly good description for large enough virtualities of the photon. PACS number(s): 13.60.Le, 12.39.St, 12.38.Bx.
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Passarino, Giampiero. "Radiative corrections to the rho parameter versus the top quark mass." Physics Letters B 247, no. 4 (September 1990): 587–92. http://dx.doi.org/10.1016/0370-2693(90)91906-r.

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Hai, XuRan, and ShuHong Wang. "Hermite-Hadamard type inequalities based on the Erdélyi-Kober fractional integrals." AIMS Mathematics 6, no. 10 (2021): 11494–507. http://dx.doi.org/10.3934/math.2021666.

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<abstract><p>In the paper, based on Erdélyi-Kober fractional integrals $ ^\rho \mathcal{K}^\alpha_{\chi+}f $ and $ ^\rho \mathcal{K}^\alpha_{\chi-}f $ for any $ \chi\in[a, b] $ with $ f\in\mathfrak{X}_c^p(a, b) $, authors establish some new Hermite-Hadamard type inequalities for convex function. The obtained inequalities generalize the corresponding results for Riemann-Liouville fractional integrals by taking limits when a parameter $ \rho\rightarrow1 $. As applications, the error estimations of Hermite-Hadamard type inequality are also provided.</p></abstract>
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Dissertations / Theses on the topic "Rho parameter"

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Peters, Daniel John. "The rho-parameter and top quark mass constraints." Thesis, University of British Columbia, 1990. http://hdl.handle.net/2429/29748.

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Experimental determinations of limits on radiative effects in the Standard Model can be used to place limits on the mass of the top quark. This is exemplified by the comparison of the ⍴-parameter, as determined by neutrino-electron scattering experiments, to the radiative corrections to that quantity calculated to order g². It is suggested that an extension of the calculation to order g⁴ might significantly affect these constraints. Some partial results of such a calculation are given
Science, Faculty of
Physics and Astronomy, Department of
Graduate
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Musser, James Raymond. "Measurement of the Michel parameter rho in muon decay." Texas A&M University, 2005. http://hdl.handle.net/1969.1/3297.

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The TWIST Collaboration has measured the Michel parameter rho in normal muon decay,u+ -> e+VeVu. In the standard model of particle physics,rho = 3/4. Deviations from this value require mixing of left- and right-handed muon and electron couplings in the muon-decay Lagrangian. We find rho = 0:75080+-0:00032(stat.)+-0:00097(syst.) +- 0:00023, where the last uncertainty represents the dependence of rho on the Michel parameter n. This result sets new limits on the WL - WR mixing angle in left-right symmetric models.
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Lee, Fei-sheng. "Measurement of the Michel Parameter Rho Using the MEGA Positron Spectrometer." Diss., Virginia Tech, 2001. http://hdl.handle.net/10919/26790.

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This experiment attempts to measure the Michel parameter Rho in normal muon decay Mu to e nu_{e} nu_{mu} with a precision of 0.001. The Standard Model with pure V-A interaction gives 0.75 for this parameter. The world average value is 0.7518 +/- 0.0026. A deviation of the value of Rho from 0.75 will indicate new physics. The experiment, RHO, was carried out at the Los Alamos Meson Physics Facility (LAMPF) of Los Alamos National Laboratory (LANL) in New Mexico, USA, in 1993. The existing experimental set-up that was built for the MEGA experiment was used for the RHO measurement. The experiment was a collaboration of about 50 physicists from Los Alamos National Laboratory, Stanford University, Fermi National Accelerator Laboratory, Virginia Tech, Texas A University, Indiana University, Valparaiso University, University of Houston, University of Chicago and University of Virginia. The result of the experiment is in agreement with Standard Model. The precision of this measurement was dominated by systematic uncertainties due to the fact that the positron spectrometer used in the measurement was designed for another experiment. Thus, the data analysis here focused mainly on the determination of systematic errors.
Ph. D.
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Turner, Joseph Vernon. "Application of Artificial Neural Networks in Pharmacokinetics." Thesis, The University of Sydney, 2003. http://hdl.handle.net/2123/488.

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Drug development is a long and expensive process. It is often not until potential drug candidates are administered to humans that accurate quantification of their pharmacokinetic characteristics is achieved. The goal of developing quantitative structure-pharmacokinetic relationships (QSPkRs) is to relate the molecular structure of a chemical entity with its pharmacokinetic characteristics. In this thesis artificial neural networks (ANNs) were used to construct in silico predictive QSPkRs for various pharmacokinetic parameters using different drug data sets. Drug pharmacokinetic data for all studies were taken from the literature. Information for model construction was extracted from drug molecular structure. Numerous theoretical descriptors were generated from drug structure ranging from simple constitutional and functional group counts to complex 3D quantum chemical numbers. Subsets of descriptors were selected which best modeled the target pharmacokinetic parameter(s). Using manual selective pruning, QSPkRs for physiological clearances, volumes of distribution, and fraction bound to plasma proteins were developed for a series of beta-adrenoceptor antagonists. All optimum ANN models had training and cross-validation correlations close to unity, while testing was performed with an independent set of compounds. In most cases the ANN models developed performed better than other published ANN models for the same drug data set. The ability of ANNs to develop QSPkRs with multiple target outputs was investigated for a series of cephalosporins. Multilayer perceptron ANN models were constructed for prediction of half life, volume of distribution, clearances (whole body and renal), fraction excreted in the urine, and fraction bound to plasma proteins. The optimum model was well able to differentiate compounds in a qualitative manner while quantitative predictions were mostly in agreement with observed literature values. The ability to make simultaneous predictions of important pharmacokinetic properties of a compound made this a valuable model. A radial-basis function ANN was employed to construct a quantitative structure-bioavailability relationship for a large, structurally diverse series of compounds. The optimum model contained descriptors encoding constitutional through to conformation dependent solubility characteristics. Prediction of bioavailability for the independent testing set were generally close to observed values. Furthermore, the optimum model provided a good qualitative tool for differentiating between drugs with either low or high experimental bioavailability. QSPkR models constructed with ANNs were compared with multilinear regression models. ANN models were shown to be more effective at selecting a suitable subset of descriptors to model a given pharmacokinetic parameter. They also gave more accurate predictions than multilinear regression equations. This thesis presents work which supports the use of ANNs in pharmacokinetic modeling. Successful QSPkRs were constructed using different combinations of theoretically-derived descriptors and model optimisation techniques. The results demonstrate that ANNs provide a valuable modeling tool that may be useful in drug discovery and development.
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Turner, Joseph Vernon. "Application of Artificial Neural Networks in Pharmacokinetics." University of Sydney, 2003. http://hdl.handle.net/2123/488.

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Drug development is a long and expensive process. It is often not until potential drug candidates are administered to humans that accurate quantification of their pharmacokinetic characteristics is achieved. The goal of developing quantitative structure-pharmacokinetic relationships (QSPkRs) is to relate the molecular structure of a chemical entity with its pharmacokinetic characteristics. In this thesis artificial neural networks (ANNs) were used to construct in silico predictive QSPkRs for various pharmacokinetic parameters using different drug data sets. Drug pharmacokinetic data for all studies were taken from the literature. Information for model construction was extracted from drug molecular structure. Numerous theoretical descriptors were generated from drug structure ranging from simple constitutional and functional group counts to complex 3D quantum chemical numbers. Subsets of descriptors were selected which best modeled the target pharmacokinetic parameter(s). Using manual selective pruning, QSPkRs for physiological clearances, volumes of distribution, and fraction bound to plasma proteins were developed for a series of beta-adrenoceptor antagonists. All optimum ANN models had training and cross-validation correlations close to unity, while testing was performed with an independent set of compounds. In most cases the ANN models developed performed better than other published ANN models for the same drug data set. The ability of ANNs to develop QSPkRs with multiple target outputs was investigated for a series of cephalosporins. Multilayer perceptron ANN models were constructed for prediction of half life, volume of distribution, clearances (whole body and renal), fraction excreted in the urine, and fraction bound to plasma proteins. The optimum model was well able to differentiate compounds in a qualitative manner while quantitative predictions were mostly in agreement with observed literature values. The ability to make simultaneous predictions of important pharmacokinetic properties of a compound made this a valuable model. A radial-basis function ANN was employed to construct a quantitative structure-bioavailability relationship for a large, structurally diverse series of compounds. The optimum model contained descriptors encoding constitutional through to conformation dependent solubility characteristics. Prediction of bioavailability for the independent testing set were generally close to observed values. Furthermore, the optimum model provided a good qualitative tool for differentiating between drugs with either low or high experimental bioavailability. QSPkR models constructed with ANNs were compared with multilinear regression models. ANN models were shown to be more effective at selecting a suitable subset of descriptors to model a given pharmacokinetic parameter. They also gave more accurate predictions than multilinear regression equations. This thesis presents work which supports the use of ANNs in pharmacokinetic modeling. Successful QSPkRs were constructed using different combinations of theoretically-derived descriptors and model optimisation techniques. The results demonstrate that ANNs provide a valuable modeling tool that may be useful in drug discovery and development.
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Chu, I.-Wen Mike. "Cosmological parameter constraints via Gibbs sampling and the Blackwell-Rao estimator /." For electronic version search Digital dissertations database. Restricted to UC campuses. Access is free to UC campus dissertations, 2005. http://uclibs.org/PID/11984.

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Larsson, Erik. "Identification of stochastic continuous-time systems : algorithms, irregular sampling and Cramér-Rao bounds /." Uppsala : Acta Universitatis Upsaliensis : Univ.-bibl. [distributör], 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-3944.

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Kapadia, Sharvari. "Cramer Rao Lower Bound and Maximum Likelihood Estimation for Multipath Propagation of GPS Signals." University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1368026467.

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Ingram, Ian Lionel Henry 1977. "Necessary conditions for geo-acoustic parameter inversions to become asymptotically unbiased and attain the Cramer-Rao Lower Bound." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/91357.

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Sjödén, Therese. "Electromagnetic Modelling for the Estimation of Wood Parameters." Licentiate thesis, Växjö University, School of Mathematics and Systems Engineering, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-2210.

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Spiral grain in trees causes trouble to the wood industry, since boards sawn from trees with large grain angle have severe problems with form stability. Measurements of the grain angle under bark enable the optimisation of the refining process. The main objective of this thesis is to study the potential in estimating the grain angle by using microwaves. To do this, electromagnetic modelling and sensitivity analysis are combined.

The dielectric properties of wood are different along and perpendicular to the wood fibres. This anisotropy is central for the estimation of the grain angle by means of microwaves. To estimate the grain angle, measurements are used together with electromagnetic modelling for the scattering from plane surfaces and cylinders. Measurement set-ups are proposed to determine the material parameters, such as the grain angle, for plane boards and cylindrical logs. For cylindrical logs both near-field and far-field measurements are investigated. In general, methods for determining material parameters exhibit large errors in the presence of noise. In this case, acceptable levels of these errors are achieved throug using few material parameters in the model: the grain angle and two dielectric parameters, characterising the electrical properties parallel and perpendicular to the fibres.

From the case with plane boards, it is concluded that it is possible to make use of the anisotropy of wood to estimate the grain angle from the reflected electromagnetic field. This property forms then the basis of the proposed methods for the estimation of the grain angle in cylindrical logs. For the proposed methods, a priori knowledge of the moisture content or temperature of the wood is not needed. Furthermore, since the anisotropy persist also for frozen wood, the method is valid for temperatures below zero degrees Celsius.

For the case with cylindrical logs, sensitivity analysis is applied to the near-field as well as the far-field methods, to analyse the parameter dependence with respect to the measurement model and the errors introduced by noise. In this sensitivity analysis, the Cram\'{e}r-Rao bound is used, giving the best possible variance for estimating the parameters. The levels of the error bounds are high, indicating a problematic estimation problem. However, the feasibility of accurate estimation will be improved through higher signal-to-noise ratios, repeated measurements, and better antenna gain. The sensitivity analysis is also useful as an analytical tool to understand the difficulties and remedies related to the method used for determining material parameters, as well as a practical aid in the design of a measurement set-up.

According to the thesis, grain angle estimation is possible with microwaves. The proposed methods are fast and suitable for further development for in-field use in the forest or in saw mills.


Träd med växtvridenhet orsakar problem i träindustrin eftersom brädor som sågats från träd med stor fibervinkel har problem med formstabiliteten och vrider sig då de torkas. Mätning av fibervinkeln under bark möjliggör optimering av förädlingsprocessen. I den här avhandlingen kombineras elektromagnetisk modellering och känslighetsanalys för att undersöka möjligheterna att bestämma fibervinkeln med mikrovågor.

De elektriska egenskaperna hos trä är olika längs med och vinkelrätt mot fibrerna. Den här anisotropin är utgångspunkten för att bestämma fibervinkeln med hjälp av mikrovågor. För att skatta fibervinkeln används mätningar tillsammans med elektromagnetisk modellering för spridningen från plana ytor och cylindrar. Mätuppställningar föreslås för problemet att skatta materialparametrar, såsom fibervinkeln, i plana brädor och cylindriska stockar. För cylindriska stockar undersöks både närfälts- och fjärrfältsmätningar. I allmänhet har metoder för skattning av materialparametrar stora fel då systemet innehåller brus. Här erhålls acceptabla fel genom att använda få materialparametrar i modelleringen. De materialparametrar som används är fibervinkeln och två dielektriska parametrar som karakteriserar de elektriska egenskaperna längs med och vinkelrätt mot träfibern.

Slutsatsen från fallet med plana brädor är att det är möjligt att använda anisotropin hos trä och dess påverkan på ett reflekterat elektromagnetiskt fält för att skatta fibervinkeln. Detta är grunden i de metoder som föreslås för cylindriska stockar. För samtliga metoder så gäller att varken fukthalt eller temperatur behöver vara kända på förhand. Eftersom anisotropin kvarstår också för fruset trä så är metoderna användbara även för temperaturer under noll grader Celsius.

För fallet med cylindriska stockar används känslighetsanalys på både närfälts- och fjärrfältsmetoderna för att analysera parameterberoendet i uppmätt data samt felen som introduceras av brus. I den här känslighetsanalysen används Cram\'{e}r-Rao gränsen som ger den bästa möjliga variansen för skattning av parametrarna. Nivåerna på gränserna är höga vilket indikerar att det är ett svårt estimeringsproblem. Möjligheterna att skatta parametrarna noggrant förbättras genom bättre signal-brus förhållande, upprepade mätningar samt ökad antennstyrka. Känslighetsanalysen är också användbar som ett analytiskt verktyg för ökad förståelse för problem och möjligheter relaterade till metoden för att skatta parametrarna och som ett praktiskt stöd för design av en mätuppställning.

Enligt avhandlingen är skattning av fibervinkel möjlig med mikrovågor. De föreslagna metoderna är snabba och lämpliga att utveckla vidare för användning i skogen eller i sågverk.

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Book chapters on the topic "Rho parameter"

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Passarino, Giampiero. "Radiative Corrections in the Standard Model And the Rho Parameter." In Radiative Corrections for e+e- Collisions, 179–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74925-4_11.

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Somsuk, Kritsanapong. "Decreasing Size of Parameter for Computing Greatest Common Divisor to Speed up New Factorization Algorithm Based on Pollard Rho." In Lecture Notes in Electrical Engineering, 399–405. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-46578-3_47.

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Guerra, Sergio Suárez, José Luis Oropeza Rodríguez, Edgardo Manuel Felipe Riveron, and Jesús Figueroa Nazuno. "Speech Recognition Using Energy, MFCCs and Rho Parameters to Classify Syllables in the Spanish Language." In Lecture Notes in Computer Science, 1057–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11925231_101.

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Pathak, P. K. "Introduction to Rao (1945) Information and the Accuracy Attainable in the Estimation of Statistical Parameters." In Springer Series in Statistics, 227–34. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4612-0919-5_15.

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Horabik, Joanna, and Zbigniew Nahorski. "The Cramér-Rao Lower Bound for the Estimated Parameters in a Spatial Disaggregation Model for Areal Data." In Advances in Intelligent Systems and Computing, 661–68. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-11310-4_57.

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Sen, Pranab K. "Introduction to Rao (1948) Large Sample Tests of Statistical Hypotheses Concerning Several Parameters with Applications to Problems of Estimation." In Springer Series in Statistics, 89–108. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-0667-5_4.

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Brison, Jean-Pascal. "p-Wave Superconductivity and d-Vector Representation." In Springer Proceedings in Physics, 165–204. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64623-3_6.

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AbstractSince the mid-80s, new classes of superconductors have been discovered in which the origin of superconductivity cannot be attributed to the electron–ion interactions at the heart of conventional superconductivity. Most of these unconventional superconductors are strongly correlated electron systems, and identifying (or even more difficult, predicting) the precise superconducting state has been, and sometimes remains, an actual challenge. However, in most cases, it has been demonstrated that in these materials the spin state of the Cooper pairs is a singlet state, often associated with a ‘d-wave’ or ‘$$s +/-$$ s + / - ’ orbital state. For a few systems, a spin-triplet state is strongly suspected, like in superfluid $$^3$$ 3 He; this leads to a much more complex superconducting order parameter. This was long supposed to be the case for the d-electron system Sr$$_2$$ 2 RuO$$_4$$ 4 , and is very likely realized in some uranium-based (f-electron) ‘heavy fermions’ like UPt$$_3$$ 3 (with multiple superconducting phases) or UGe$$_2$$ 2 (with coexisting ferromagnetic order). Beyond the interest for these materials, p-wave superconductivity is presently quite fashionable for its topological properties and the prediction that it could host Majorana-like low energy excitations, seen as a route towards robust (topologically protected) qubits. The aim of these notes is to make students and experimentalists more familiar with the d-vector representation used to describe p-wave (spin triplet) superconductivity. The interest of this formalism will be illustrated on some systems where p-wave superconductivity is the prime suspect.
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Tiwari, Srikant, and Mohan Kumar Pradhan. "Optimisation of Machining Parameters in Electrical Discharge Machining of LM25-RHA Composites." In Handbook of Research on Manufacturing Process Modeling and Optimization Strategies, 1–18. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-2440-3.ch001.

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Aluminium composites are tough to machine by using conventional method. In order to increase machinability of aluminium-based composite a non-conventional method of machining has been used. Electrical Discharge Machining (EDM) is one of the kind of machining process which has often uses for machining of aluminium composites. The objective of this chapter is to determine the ideal setting of the process parameters on the electrical discharge machining while machining Aluminium-Rice Husk Ash (LM25-RHA) composites in which three different variation (4%, 8%, 12%) of Rice Husk Ash has been used. The parameters considered are pulse current (Ip), gap voltage (V) and pulse-on-time (Ton); whereas its effect are analysed on Electrode Wear Rate (EWR), Material Removal Rate (MRR) and Surface Roughness (Ra). The optimal setting of the parameters are determined through experiments planned, conducted and analysed using the Taguchi method.
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Elhamid M. Abd Elhamid, Abd, Heba Shawkey, Ahmed A.I. Khalil, and Iftitan M. Azzouz. "Graphene Functionalization towards Developing Superior Supercapacitors Performance." In Supercapacitors [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.98354.

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Graphene is known as the miracle material of the 21st century for the wide band of participating applications and epic properties. Unlike the CVD monolayer graphene, Reduced graphene oxide (RGO) is a commercial form with mass production accessibility via numerous numbers of methods in preparation and reduction terms. Such RGO form showed exceptional combability in supercapacitors (SCs) where RGO is participated to promote flexibility, lifetime and performance. The chapter will illustrate 4 critical milestones of using graphene derivatives for achieving SC’s superior performance. The first is using oxidized graphene (GO) blind with polymer for super dielectric spacer. The other three types are dealing with electrolytic SCs based on RGO. Polyaniline (PANI) was grown on GO for exceptionally stable SCs of 100% retention. Silver decoration of RGO was used for all-solid-state printable device. The solid-state gel electrolyte was developed by adding GO to promote current rating. Finally, laser reduced graphene is presented as a one-step and versatile technique for micropatterning processing. The RGO reduction was demonstrated from a laser GO interaction perspective according to two selected key parameters; wavelength and pulse duration.
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Zheng, Shuo, Jinqiu Liang, Xiaoquan Gan, Huifeng Zheng, and Ning Liu. "The Influence Study of Statistical Uncertainty on Probabilistic Outlier Detection for Geotechnical Engineering Data." In Advances in Transdisciplinary Engineering. IOS Press, 2022. http://dx.doi.org/10.3233/atde220867.

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Outlier is attached importance in statistics and engineering, because it might result in misleading identification results. However, there is significant uncertainty in the outlier detection, when an outlying observation lies close to the boundary between outliers and regular data or there are sparse observations. The associated uncertainty of outlier mostly results from statistical uncertainty of parameters, such as mean value and standard deviation. However, it is unknown how the statistical uncertainty influences the outlier detection. This paper compares two outlier detection methods for influence study of statistical uncertainty on probabilistic outlier detection. One is based on Mahalanobis distance (MD) using the total probability theorem combining with the half-means method (RHM). The other is RHM method with Bayesian machine learning (BML), which can consider the statistical uncertainties of parameters in MD. The simulated dataset with outliers are used to comparative study. Different dimensional dataset and various numbers of observations and outliers are simulated. Thereinto, outliers are simulated through double-mode triangle distribution. The results show that it is necessary to consider the statistical uncertainty for sparse multivariate observations.
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Conference papers on the topic "Rho parameter"

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Piilonen, Leo, J. F. Amann, R. D. Bolton, Y. Chen, M. D. Cooper, P. S. Cooper, M. Dzemidzic, et al. "Measurement of the Michel rho parameter in direct muon decay." In INTERSECTIONS BETWEEN PARTICLE AND NUCLEAR PHYSICS. ASCE, 1997. http://dx.doi.org/10.1063/1.54303.

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Watson, Bryan C., and Cassandra Telenko. "Binomial Parameter Determination and Mapping for Demand Prediction: A Case Study of Bike Sharing Station Expansion Design." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-87865.

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Quantitative approaches to estimating user demand provide a powerful tool for engineering designers. We hypothesized that estimating binomial distribution parameters n (user population size) and p (user population product affinity) from historical user data can predict demand in new situations. This approach applied to a major Bike Sharing System (BSS) expansion. BSS Operators must make key decisions when adding additional docking stations. Binomial Parameter estimation approaches are briefly discussed, followed by evidence that BSSs supply an amiable case for parameter estimation. Parameter plots reveal a continuous surface over the BSS area. These surfaces allow prediction of overall ridership levels at new station locations distinctly and more accurately from approaches currently utilized. Utilizing spearman’s Rho as a comparison benchmark, our approach yields a stronger correlation between our prediction and the observed new station utilization (rho = .830, stations = 46, p < .01) than the order implemented by the BSS operator (rho = .596, stations = 46, p < .01). Finally, this approach is mathematically straightforward, indicating potential as a mainstream BSS tool for BSS operators planning future station expansions. The results validate our approach of using current user data to determine target population characteristics, informing decisions about new design situations.
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Ikuta, Ken, Sho Joichi, Kazuya Kobayashi, Md Al-Amin Khandaker, Takuya Kusaka, and Yasuyuki Nogami. "A Study on the Parameter of the Distinguished Point Method in Pollard’s Rho Method for ECDLP." In 2018 International Symposium on Information Theory and Its Applications (ISITA). IEEE, 2018. http://dx.doi.org/10.23919/isita.2018.8664405.

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Stenzel, Hasko. "Determination of the total cross section and $\rho$-parameter from elastic scattering in $pp$ collisions at $\sqrt{s}=13$ TeV with the ATLAS detector." In 41st International Conference on High Energy physics. Trieste, Italy: Sissa Medialab, 2022. http://dx.doi.org/10.22323/1.414.0803.

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Guo, Dehua, and Andrei Alexandru. "Resonance Parameters for the rho-meson from Lattice QCD." In The 33rd International Symposium on Lattice Field Theory. Trieste, Italy: Sissa Medialab, 2016. http://dx.doi.org/10.22323/1.251.0073.

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Riasat, Usman, Muhammad Ali Mughal, Abdullah Shoukat, and Sadiq Ahmad. "PMDC Motor Parameter Estimation Using Rao-1 Algorithm." In 2022 International Conference on Technology and Policy in Energy and Electric Power (ICT-PEP). IEEE, 2022. http://dx.doi.org/10.1109/ict-pep57242.2022.9988821.

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Sadasivam, Shankar, and Pierre Moulin. "Cramer-Rao bound on watermark desynchronization parameter estimation accuracy." In Electronic Imaging 2007. SPIE, 2007. http://dx.doi.org/10.1117/12.705481.

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Jibia, Abdussamad U., Momoh-Jimoh E. Salami, Othman O. Khalifa, and Faiz A. M. Elfaki. "Cramer-Rao Lower Bound for Parameter Estimation of Multiexponential Signals." In 2009 16th International Conference on Systems, Signals and Image Processing. IEEE, 2009. http://dx.doi.org/10.1109/iwssip.2009.5367779.

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Shoukat, Abdullah, Muhammad Ali Mughal, Sadiq Ahmad, Saifullah Younus Gondal, and Saad Salman Khan. "Parameter Estimation of Short Transmission Line Using Rao-I Algorithm." In 2021 6th International Multi-Topic ICT Conference (IMTIC). IEEE, 2021. http://dx.doi.org/10.1109/imtic53841.2021.9719721.

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Ren, Chengfang, Julien Le Kernec, Jerome Galy, Eric Chaumette, Pascal Larzabal, and Alexandre Renaux. "A constrained hybrid Cramér-Rao bound for parameter estimation." In ICASSP 2015 - 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2015. http://dx.doi.org/10.1109/icassp.2015.7178616.

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Reports on the topic "Rho parameter"

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Mischke, R. E., J. F. Amann, and R. D. Bolton. A measurement of the Michel parameter {rho} in muon decay. Office of Scientific and Technical Information (OSTI), July 1994. http://dx.doi.org/10.2172/10162471.

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Koetke, D. D., R. W. Manweiler, and T. D. Shirvel Stanislaus. High sensitivity tests of the standard model for electroweak interactions. [Lepton-family-number-violating decay; Michel [rho] parameter]. Office of Scientific and Technical Information (OSTI), January 1993. http://dx.doi.org/10.2172/6832260.

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Hero, A. O. A Cramer-Rao Type Lower Bound for Essentially Unbiased Parameter Estimation. Fort Belvoir, VA: Defense Technical Information Center, January 1992. http://dx.doi.org/10.21236/ada246666.

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Use of environmental tracers to estimate parameters for a predevelopment-ground-water-flow model of the Middle Rio Grande Basin, New Mexico. US Geological Survey, 2004. http://dx.doi.org/10.3133/wri034286.

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