scholarly journals Φ-MEASURE AND DISORIENTED CHIRAL CONDENSATES

2003 ◽  
Vol 18 (07) ◽  
pp. 1067-1077 ◽  
Author(s):  
B. MOHANTY

Fluctuations in the ratio of neutral to charged pions arising due to formation of disoriented chiral condensates (DCC) are discussed using the Φ-measure. The properties of the measure for various cases of DCC and non-DCC are discussed. The effect of detector efficiencies and other experimental factors are presented. Application of the Φ-measure to simulated data, within the context of a simple DCC model and to experimental data are also discussed.

Author(s):  
Andreas Kyprianou ◽  
Andreas Tjirkallis

An important task in structural health monitoring (SHM) is that of damage detection under varying environmental and operational conditions. Structures, under varying environmental conditions, change their mass, elasticity and damping properties whereas changing operational conditions cause changes to excitations. A damage detection methodology implemented in these circumstances faces serious challenges since changes to structural behaviour imparted by environmental or operational conditions could be wrongly attributed to damage. The part of a damage detection decision algorithm that removes environmental and operational effects is called normalization. In this chapter a normalization methodology that is based on the similarity between continuous wavelet transform maxima decay lines is presented. This methodology is implemented on both simulated and experimental data. Simulated data were obtained from a three degree of freedom system. Varying environmental conditions were simulated by temperature dependent stiffness parameters and operating conditions by changing the colour of random excitation. Experimental data were obtained from damaged cantilever beams that were subjected to random excitations of different colour and varying temperatures.


2019 ◽  
Vol 35 (18) ◽  
pp. 3279-3286 ◽  
Author(s):  
Enrico Siragusa ◽  
Niina Haiminen ◽  
Richard Finkers ◽  
Richard Visser ◽  
Laxmi Parida

Abstract Summary Haplotype assembly of polyploids is an open issue in plant genomics. Recent experimental studies on highly heterozygous autotetraploid potato have shown that available methods do not deliver satisfying results in practice. We propose an optimal method to assemble haplotypes of highly heterozygous polyploids from Illumina short-sequencing reads. Our method is based on a generalization of the existing minimum fragment removal model to the polyploid case and on new integer linear programs to reconstruct optimal haplotypes. We validate our methods experimentally by means of a combined evaluation on simulated and experimental data based on 83 previously sequenced autotetraploid potato cultivars. Results on simulated data show that our methods produce highly accurate haplotype assemblies, while results on experimental data confirm a sensible improvement over the state of the art. Availability and implementation Executables for Linux at http://github.com/Computational Genomics/HaplotypeAssembler. Supplementary information Supplementary data are available at Bioinformatics online.


2020 ◽  
Vol 29 (06) ◽  
pp. 2050042 ◽  
Author(s):  
Kosim Olimov ◽  
Kadyr G. Gulamov ◽  
Alisher K. Olimov ◽  
Sagdulla L. Lutpullaev ◽  
Gulmurod U. Khudaiberdyev ◽  
...  

The new experimental data on various characteristics of the secondary charged pions produced in [Formula: see text]C collisions at 4.2[Formula: see text]GeV/c are presented. A comparative analysis of the average multiplicities and various kinematic characteristics of the charged pions produced in [Formula: see text]C and [Formula: see text]C collisions at 4.2[Formula: see text]GeV/c is made. The experimental data are compared systematically with the predictions of the modified FRITIOF model.


2012 ◽  
Vol 217-219 ◽  
pp. 1526-1529
Author(s):  
Yu Mei Liu ◽  
Wen Ping Liu ◽  
Zhao Liang Jiang ◽  
Zhi Li

A prediction model of deflection is presented. The Artificial Neural Network (ANN) is adopted, and ANN establishes the mapping relation between the clamping forces and the position of fixing and the value of deflection. The results of simulation of Abaqus software is used for Training and querying an ANN. The predicted values are in agreement with simulated data and experimental data.


1987 ◽  
Vol 20 (6) ◽  
pp. 522-528 ◽  
Author(s):  
S. E. G. Slusky ◽  
A. T. Macrander

A formula is derived for simulating rocking-curve measurements made with an X-ray diffractometer fitted with a four-reflection monochromator. The derivation is carried out both graphically and algebraically. Results of a simulation using this formula are then compared with experimentally obtained rocking curves. The rocking curves were obtained using a diffractometer with a four-reflection monochromator that uses 440 reflections from two channel-cut germanium crystals. The experimental data comprise 200, 400, 600, 511, 711, 622, 422 and 444 reflections from thick single-crystal indium phosphide grown by the vertical-gradient freeze technique. The simulated data correlate well with the experimental data, although the simulations consistently show somewhat higher reflectivities and narrower linewidths than the experiment, indicating the existence of broadening mechanisms not included in the simulation that are affecting the experiment.


1996 ◽  
Vol 604 (2) ◽  
pp. 183-207 ◽  
Author(s):  
P. Désesquelles ◽  
J.P. Bondorf ◽  
I.N. Mishustin ◽  
A.S. Botvina

Author(s):  
Neveen B. Abd El-Mageed ◽  
Muhammad A. Abdul-Muttalib ◽  
Yasmen A. Heiba

The aim of this research was to simulate the brine disposal fate within an aquifer. The Visual MODFLOW numerical code was used to predict the salt concentration emigration over time in an aquifer. The model was calibrated using laboratory experimental data. The model results revealed that there is an acceptable agreement between the observed and simulated data.


2021 ◽  
Vol 9 ◽  
Author(s):  
Timothy Connor ◽  
Oskar Cheong ◽  
Thomas Bornhake ◽  
Alison C. Shad ◽  
Rebekka Tesch ◽  
...  

Pyrochlore compounds (A2B2O7) have a large applicability in various branches of science and technology. These materials are considered for use as effective ionic conductors for solid state batteries or as matrices for immobilization of actinide elements, amongst many other applications. In this contribution we discuss the simulation-based effort made in the Institute of Energy and Climate Research at Forschungszentrum Jülich and partner institutions regarding reliable computation of properties of pyrochlore and defect fluorite compounds. In the scope of this contribution, we focus on the investigation of dopant incorporation, defect formation and anion migration, as well as understanding of order-disorder transitions in these compounds. We present new, accurate simulated data on incorporation of U, Np, Pu, Am and Cm actinide elements into pyrochlores, activation energies for oxygen migration and radiation damage-induced structural changes in these materials. All the discussed simulation results are combined with available experimental data to provide a reliable description of properties of investigated materials. We demonstrate that a synergy of computed and experimental data leads to a superior characterization of pyrochlores, which could not be easily achieved by either of these methods when applied separately.


2021 ◽  
Author(s):  
Emmanuelle Blanc ◽  
Jérôme Enjalbert ◽  
Pierre Barbillon

- Background and Aims Functional-structural plant models are increasingly being used by plant scientists to address a wide variety of questions. However, the calibration of these complex models is often challenging, mainly because of their high computational cost. In this paper, we applied an automatic method to the calibration of WALTer: a functional-structural wheat model that simulates the plasticity of tillering in response to competition for light. - Methods We used a Bayesian calibration method to estimate the values of 5 parameters of the WALTer model by fitting the model outputs to tillering dynamics data. The method presented in this paper is based on the Efficient Global Optimisation algorithm. It involves the use of Gaussian process metamodels to generate fast approximations of the model outputs. To account for the uncertainty associated with the metamodels approximations, an adaptive design was used. The efficacy of the method was first assessed using simulated data. The calibration was then applied to experimental data. - Key Results The method presented here performed well on both simulated and experimental data. In particular, the use of an adaptive design proved to be a very efficient method to improve the quality of the metamodels predictions, especially by reducing the uncertainty in areas of the parameter space that were of interest for the fitting. Moreover, we showed the necessity to have a diversity of field data in order to be able to calibrate the parameters. - Conclusions The method presented in this paper, based on an adaptive design and Gaussian process metamodels, is an efficient approach for the calibration of WALTer and could be of interest for the calibration of other functional-structural plant models .


Soft Matter ◽  
2020 ◽  
Vol 16 (7) ◽  
pp. 1751-1759 ◽  
Author(s):  
Eric N. Minor ◽  
Stian D. Howard ◽  
Adam A. S. Green ◽  
Matthew A. Glaser ◽  
Cheol S. Park ◽  
...  

We demonstrate a method for training a convolutional neural network with simulated images for usage on real-world experimental data.


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