36 results on '"ANGLE DISTRIBUTION"'
Search Results
2. Numerical simulation study on spread angle in oblique cut flip bucket.
- Author
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Yu-bo Ran, Chao Liu, Jun Deng, Wang-ru Wei, and Qiang Long
- Subjects
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ANGLES , *WATER conservation projects , *COMPUTER simulation , *ENERGY dissipation , *FLOW velocity - Abstract
With the advantages of simple structure, good energy dissipation effect and so on, the sky jump energy dissipation is widely used in energy dissipation of water conservancy project. But at present, the prediction about the range of the free nappe is not complete. The studies show that the ejection angle is different at different locations of the outlet section, but the specific distribution of the outlet section velocity is still unclear. The measurement of free nappe range is mostly the direct measurement, how to accurately control is still difficult, and no systematic study has been made. Especially, the studies on the diffusion width of free nappe are few, the understanding of free nappe diffusion is not enough. In this article, the deflection degree of flow velocity at the outlet section in the lateral direction is quantified by the spread angle. Studied the distribution characteristic of spread angle through numerical simulation. The results show that the distribution characteristics and the maximum value of spread angle are affected by the change of flip bucket size and approach flow condition, and presented a set of equations for calculating the maximum angle. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
3. Angle Distribution Measurement of Scattered Light Intensity From Needle-Shaped Crystals in a Magnetic Field for Gout Diagnosis.
- Author
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Takeuchi, Yuka, Iwasaka, Masakazu, Matsusda, Mizushi, and Hamasaki, Atom
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MAGNETIC crystals , *MAGNETIC fields , *PHOTOMETRY , *GOUT , *ANGULAR distribution (Nuclear physics) - Abstract
Monosodium urate (MSU), which causes gout, forms needle-shaped crystals with large diamagnetic susceptibility anisotropy that orient in a magnetic field of up to 500 mT. The light transmittance and reflectance of MSU suspensions change under an applied magnetic field. To use this phenomenon to diagnose gout, it would be necessary to collect light scattering information from all angles, including transmission and reflection. This is because the scattered light intensity from MSU crystals is different in forward, sideward, and backward directions under near-infrared (NIR) light (785 nm), which has high biopermeability and is used in NIR spectroscopy. Therefore, we measured the angular distributions of light scattering by MSU crystals before and after applying a magnetic field and evaluated their characteristics. In the case of MSU crystals of the size found in gout patients, the scattered light intensity decreased at all angles under an applied magnetic field compared with that without a magnetic field. The change ratio of the scattered light intensity was large in the forward and backward directions and relatively small in the sideward directions. This was ascribed to the combined effects of the decrease in the scattering cross section caused by the magnetic orientation and the accompanying change in diffraction behavior. Our findings indicated that for gout diagnosis, the incident light should be horizontal and that if transmission measurement is possible, a detection angle of about 30° is suitable. If transmission measurement is not practical, it is better to avoid a detection angle of around 90°. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
4. Quantitative distribution characteristics of force chains for asphalt mixtures with three skeleton structures using discrete element method.
- Author
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Chang, Mingfeng, Pei, Jianzhong, Zhang, Jiupeng, Xing, Xiangyang, Xu, Shenghuai, Xiong, Rui, and Sun, Jianxun
- Abstract
Three digital specimens of asphalt mixtures (AC-13, SMA-13 and OGFC-13) were reconstructed to conduct a virtual simple performance test using the discrete element method. The distribution characteristics of force chains were investigated by a statistical method. The results indicate that it is reasonable and feasible to analyze the mesoscopic responses of asphalt mixtures using digital models. The probability distribution of the normal force chains varies with loading time and the variation laws are consistent at four loading times. And the probability distribution of the shear force chains decays exponentially. Besides, the maximum probability distributions of the normal and shear force chains decrease with increasing timestep. OGFC-13 has the maximum probability distributions of the normal and shear force chains, which are 0.34186 and 0.55884, respectively. The proportions of the “strong” force chains decrease over the loading time, and AC-13 has a maximum proportion of 49.41% for the three asphalt mixtures at four loading times. In addition, the angle distributions of the force chain are mainly near 90°, and the average ratio of the normal contact force to the mean normal contact force increases with increasing loading time at 90°. Finally, the angle distribution proportions in the first and second quadrants are much greater than those in the third and fourth quadrants. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
5. Algorithm for density of angle distribution in random sections of polyhedron.
- Author
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Konstantinova, Elizaveta P. and Shchur, Lev N.
- Subjects
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COMPUTATIONAL geometry , *STOCHASTIC geometry , *MATHEMATICAL analysis , *ANGLES , *MATERIALS science - Abstract
Scanning electron micrographs of solid materials are a source of analysis for hardness, defects, etc. A micrograph is a two-dimensional image of a material being cut. Typical photomicrographs contain about a hundred thousand structural elements, such as grain boundaries, boundary junctions, etc., which are not easy to analyze with the naked eye. Currently, computer vision can be used to analyze the geometric properties of structural elements. One of the important properties is the cross section of the grain, which is the result of cutting the material. In the article we turn to one of the geometric properties of random grain cuttings. The statistical properties of the cross sections of grains in an alloy are equivalent to the statistical properties of the cross sections of individual grains by random planes if the grains do not touch each other. We present two stages of mathematical analysis of the grain cross-sections. First, using the algorithm for generating random planes with a uniform distribution, a method is proposed for generating random sections of polyhedra. The method can be useful in stochastic geometry and computational geometry, as well as in materials science. Second, sections of polyhedra with random planes are considered, and a numerical algorithm for estimating the distribution density of angles of convex polyhedra is also implemented. Examples of distribution densities in random sections for a cube, a regular triangular prism, and a truncated prism are given. The developed algorithm and the obtained distribution densities are of practical use in the analysis of micrographs of thin sections of crystalline alloys. • An algorithm for generating random planes with a uniform distribution is presented. • A method for generating random sections of polyhedra is proposed. • Densities of distribution of angles in random sections of a convex polyhedron are estimated. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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- View/download PDF
6. Leaf pigment retrieval using the PROSAIL model: Influence of uncertainty in prior canopy-structure information
- Author
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Sun, Jia, Wang, Lunche, Shi, Shuo, Li, Zhenhai, Yang, Jian, Gong, Wei, Wang, Shaoqiang, and Tagesson, Torbern
- Subjects
AREA INDEX PRODUCTS ,PROSAIL model ,Leaf angle distribution ,BIOPHYSICAL VARIABLES ,DRY-MATTER ,Plant Science ,LAI ,REFLECTANCE ,ANGLE DISTRIBUTION ,Leaf area index ,CHLOROPHYLL CONTENT ,INVERSION ,HYPERSPECTRAL INDEXES ,Canopy structure ,Agronomy and Crop Science ,Leaf pigment ,RADIATIVE-TRANSFER MODELS - Abstract
Leaf pigments are critical indicators of plant photosynthesis, stress, and physiological conditions. Inversion of radiative transfer models (RTMs) is a promising method for robustly retrieving leaf biochemical traits from canopy observations, and adding prior information has been effective in alleviating the "ill-posed" problem, a major challenge in model inversion. Canopy structure parameters, such as leaf area index (LAI) and average leaf inclination angle (ALA), can serve as prior information for leaf pigment retrieval. Using canopy spectra simulated from the PROSAIL model, we estimated the effects of uncertainty in LAI and ALA used as prior information for lookup table-based inversions of leaf chlorophyll (C-ab) and carotenoid (C-ar). The retrieval accuracies of the two pigments were increased by use of the priors of LAI (RMSE of C(ab )from 7.67 to 6.32 mu g cm(2) , C-ar from 2.41 to 2.28 mu g cm(2)) and ALA (RMSE of C-ab from 7.67 to 5.72 mu g cm(2) , C-ar from 2.41 to 2.23 mu g cm(2)). However, this improvement deteriorated with an increase of additive and multiplicative uncertainties, and when 40% and 20% noise was added to LAI and ALA respectively, these priors ceased to increase retrieval accuracy. Validation using an experimental winter wheat dataset also showed that compared with C-ar , the estimation accuracy of C-ab increased more or deteriorated less with uncertainty in prior canopy structure. This study demonstrates possible limitations of using prior information in RTM inversions for retrieval of leaf biochemistry, when large uncertainties are present. (C) 2022 Crop Science Society of China and Institute of Crop Science, CAAS. Production and hosting by Elsevier B.V. on behalf of KeAi Communications Co., Ltd.
- Published
- 2022
7. Self-similarity and Points of Interest in Textured Images
- Author
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Kondra, Shripad, Petrosino, Alfredo, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Kundu, Malay K., editor, Mitra, Sushmita, editor, Mazumdar, Debasis, editor, and Pal, Sankar K., editor
- Published
- 2012
- Full Text
- View/download PDF
8. Reconstruction of Shape using Gradient Measuring Optical Systems
- Author
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Seewig, Jörg, Damm, Tobias, Frasch, Janick, Kauven, David, Rau, Sebastian, Schnebele, Johannes, Osten, Wolfgang, editor, and Kujawinska, Malgorzata, editor
- Published
- 2009
- Full Text
- View/download PDF
9. Leaf pigment retrieval using the PROSAIL model:Influence of uncertainty in prior canopy-structure information
- Author
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Sun, Jia, Wang, Lunche, Shi, Shuo, Li, Zhenhai, Yang, Jian, Gong, Wei, Wang, Shaoqiang, Tagesson, Torbern, Sun, Jia, Wang, Lunche, Shi, Shuo, Li, Zhenhai, Yang, Jian, Gong, Wei, Wang, Shaoqiang, and Tagesson, Torbern
- Abstract
Leaf pigments are critical indicators of plant photosynthesis, stress, and physiological conditions. Inversion of radiative transfer models (RTMs) is a promising method for robustly retrieving leaf biochemical traits from canopy observations, and adding prior information has been effective in alleviating the "ill-posed" problem, a major challenge in model inversion. Canopy structure parameters, such as leaf area index (LAI) and average leaf inclination angle (ALA), can serve as prior information for leaf pigment retrieval. Using canopy spectra simulated from the PROSAIL model, we estimated the effects of uncertainty in LAI and ALA used as prior information for lookup table-based inversions of leaf chlorophyll (C-ab) and carotenoid (C-ar). The retrieval accuracies of the two pigments were increased by use of the priors of LAI (RMSE of C(ab )from 7.67 to 6.32 mu g cm(2) , C-ar from 2.41 to 2.28 mu g cm(2)) and ALA (RMSE of C-ab from 7.67 to 5.72 mu g cm(2) , C-ar from 2.41 to 2.23 mu g cm(2)). However, this improvement deteriorated with an increase of additive and multiplicative uncertainties, and when 40% and 20% noise was added to LAI and ALA respectively, these priors ceased to increase retrieval accuracy. Validation using an experimental winter wheat dataset also showed that compared with C-ar , the estimation accuracy of C-ab increased more or deteriorated less with uncertainty in prior canopy structure. This study demonstrates possible limitations of using prior information in RTM inversions for retrieval of leaf biochemistry, when large uncertainties are present. (C) 2022 Crop Science Society of China and Institute of Crop Science, CAAS. Production and hosting by Elsevier B.V. on behalf of KeAi Communications Co., Ltd.
- Published
- 2022
10. Total Scattering and Reverse Monte Carlo Modelling of Disordered Crystalline Materials
- Author
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Tucker, Matthew G., Dove, Martin T., Keen, David A., Thorpe, M. F., editor, and Billinge, S. J. L., editor
- Published
- 2002
- Full Text
- View/download PDF
11. Vector description of electric and hydrophobic interactions in protein homodimers.
- Author
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Mozo-Villarías, Angel, Cedano, Juan, and Querol, Enrique
- Subjects
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VECTOR analysis , *HYDROPHOBIC interactions , *ELECTRIC dipole moments , *HOMODIMERS , *MONOMERS - Abstract
This article describes the formation of homodimers from their constituting monomers, based on the rules set by a simple model of electric and hydrophobic interactions. These interactions are described in terms of the electric dipole moment ( D) and hydrophobic moment vectors ( H) of proteins. The distribution of angles formed by the two dipole moments of monomers constituting dimers were analysed, as well as the distribution of angles formed by the two hydrophobic moments. When these distributions were fitted to Gaussian curves, it was found that for biological dimers, the D vectors tend mostly to adopt a perpendicular arrangement with respect to each other, in which the constituting dipoles have the least interaction. A minor population tends towards an antiparallel arrangement implying maximum electric attraction. Also in biological dimers, the H vectors of most monomers tend to interact in such a way that the total hydrophobic moment of the dimer increases with respect to those of the monomers. This shows that hydrophobic moments have a tendency to align. In dimers originating in the crystallisation process, the distribution of angles formed by both hydrophobic and electric dipole moments appeared rather featureless, probably because of unspecific interactions in the crystallisation processes. The model does not describe direct interactions between H and D vectors although the distribution of angles formed by both vectors in dimers was analysed. It was found that in most cases these angles tended to be either small (both moments aligned parallel to each other) or large (antiparallel disposition). [ABSTRACT FROM AUTHOR]
- Published
- 2016
- Full Text
- View/download PDF
12. Visualization and quantitative statistics of experimental hydraulic fracture network based on optical scanning.
- Author
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Yang, Hanzhi, Wang, Lei, Yang, Chunhe, Guo, Yintong, Guo, Wuhao, Bi, Zhenhui, and Zhao, Guokai
- Subjects
CRACK propagation (Fracture mechanics) ,HYDRAULIC fracturing ,SPATIAL variation ,STATISTICS ,EXPONENTIAL functions ,VISUALIZATION - Abstract
The formation of hydraulic fracture-network is an important goal for stable and increased production of unconventional oil and gas resources. However, due to the extremely complex mechanical behavior of hydraulic-fracture propagation, there is still a lack of fine, effective and systematic evaluation methods on 3D fracture-network structure. The quantitative characterization of hydraulic-fractures is of great significance to reveal the law of fracture propagation and to evaluate the reservoir stimulation effectiveness reasonably. Although the micro-cracks evolution process follows a random rather than deterministic pattern, the overall fracture morphology is featuring statistical regularity. In this study, after the indoor hydraulic-fracturing simulation experiments of the tight sandstone specimens, 3D optical scanning was used to visualize the fracture-network. On this basis, two aspects of quantitative statistics of 3D complex fracture-networks were established by plane and sphere cuttings for the first time, including angle distribution statistics and spatial variation statistics. Comparative analyses with reported methods showed that, the overall deflection of the macroscopic fracture-networks varies synchronously with the local roughness of the main hydraulic fractures closest to the wellbore, which satisfied exponential function or power-law function relationship between them. The variation of the area proportion with the propagation radius reflects the specific fracture propagation process such as crack initiation, bifurcation and arrest, and could be used to assess the complexity of the fracture-network. Moreover, a new stimulation evaluation index E s was established by comprehensively considering the stimulated-reservoir-area, the dispersion degree of the angle distribution and the complexity of spatial variation for 3D fracture-network. The insights gained warrant further applicability on hydraulic-fracturing in the actual engineering scale. [Display omitted] • 3D fracture-network was visualized and statistically studied based on optical scanning for the first time. • The overall deflection had a strong correlation with the local roughness of the crack initiation position. • The variation of the area proportion in the propagation direction could reflect the complexity of the fracture-network. • New stimulation evaluation index was established by considering the area and spatial distribution of 3D fracture-network. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
13. Constraints on the chi(c1 )versus chi(c2) Polarizations in Proton-Proton Collisions at root s=8 TeV
- Author
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Sirunyan, A. M., Tumasyan, A., Adam, W., Ambrogi, F., Bergauer, T., Sağır, Sinan, and Sağır, Sinan
- Subjects
Pp Collısıons ,Angular-Dıstrıbutıon ,Angle Dıstrıbutıon ,Cross-Sectıons ,High Energy Physics::Experiment ,Leptons ,Pıons ,Nuclear Experiment ,Decays ,W-Transverse-Momentum ,P(P)Over-Bar Collısıons ,Quarkonıum Productıon - Abstract
WOS:000528518000007 The polarizations of promptly produced chi(c1) and chi(c2) mesons are studied using data collected by the CMS experiment at the LHC, in proton-proton collisions at root s = 8 TeV. The chi(c) states are reconstructed via their radiative decays chi(c) -> J/psi gamma, with the photons being measured through conversions to e(+)e(-), which allows the two states to be well resolved. The polarizations are measured in the helicity frame, through the analysis of the chi(c2) to chi(c1) yield ratio as a function of the polar or azimuthal angle of the positive muon emitted in the J/psi -> mu(+)mu(-) decay, in three bins of J/psi transverse momentum. While no differences are seen between the two states in terms of azimuthal decay angle distributions, they are observed to have significantly different polar anisotropies. The measurement favors a scenario where at least one of the two states is strongly polarized along the hclicity quantization axis, in agreement with nonrelativistic quantum chromodynamics predictions. This is the first measurement of significantly polarized quarkonia produced at high transverse momentum.
- Published
- 2020
14. Constraints on the χ_{c1} versus χ_{c2} Polarizations in Proton-Proton Collisions at sqrt[s]=8 TeV
- Author
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Sirunyan, AM, Tumasyan, A, Adam, W, Ambrogi, F, Bergauer, T, Dragicevic, M, Erö, J, Escalante Del Valle, A, Flechl, M, Frühwirth, R, Jeitler, M, Dominguez, A, Van Hove, P, Gadrat, S, Ogul, H, Beauceron, S, Santoro, A, Bernet, C, Boudoul, G, Lelek, A, Camen, C, Virdi, AK, Uniyal, R, Verbeke, W, Carle, A, Chanon, N, Chierici, R, Contardo, D, Onel, Y, Depasse, P, El Mamouni, H, Sosnov, D, Fay, J, Vargas Hernandez, AM, Gascon, S, Grandi, C, Gouzevitch, M, Pieters, M, Ille, B, Jain, S, Laktineh, IB, Ozok, F, Lattaud, H, Lesauvage, A, Buccilli, A, Lethuillier, M, Sulimov, V, Guiducci, L, Mirabito, L, Perries, S, Sordini, V, Torterotot, L, Rejeb Sfar, H, Touquet, G, Penzo, A, Cooper, SI, Vander Donckt, M, Viret, S, Toriashvili, T, Iemmi, F, Tsamalaidze, Z, Uvarov, L, Autermann, C, Feld, L, Klein, K, Lipinski, M, Agapitos, A, Meuser, D, Walczak, M, Van Haevermaet, H, Pauls, A, Kodolova, O, Preuten, M, Rauch, MP, Schulz, J, Vorobyev, A, Teroerde, M, Gleyzer, SV, Erdmann, M, Fischer, B, Ghosh, S, Snyder, C, Hebbeker, T, Lo Meo, S, Hoepfner, K, Van Mechelen, P, Keller, H, Mastrolorenzo, L, Mans, J, Merschmeyer, M, Lee, H, Andreev, Y, Meyer, A, Millet, P, Tiras, E, Marcellini, S, Mocellin, G, Mondal, S, Mukherjee, S, Morelos Pineda, A, Noll, D, Novak, A, Van Putte, S, Pook, T, Pozdnyakov, A, Dermenev, A, Quast, T, Masetti, G, Wetzel, J, Radziej, M, Henderson, C, Rath, Y, Reithler, H, Roemer, J, Schmidt, A, Schuler, SC, Sharma, A, Van Remortel, N, Wiedenbeck, S, Navarria, FL, Gninenko, S, Majumder, G, Kothekar, K, Yi, K, Zaleski, S, Flügge, G, Haj Ahmad, W, Hlushchenko, O, Kress, T, Müller, T, Nowack, A, Pistone, C, Mendis, DR, Rumerio, P, Pooth, O, Blekman, F, Roguljic, M, Golubev, N, Roy, D, Sert, H, Stahl, A, Aldaya Martin, M, Asmuss, P, Babounikau, I, West, C, Walia, G, Perrotta, A, Bakhshiansohi, H, Beernaert, K, Behnke, O, Blumenfeld, B, Bermúdez Martínez, A, Karneyeu, A, Bols, ES, Bin Anuar, AA, Albert, A, Borras, K, Botta, V, Primavera, F, Campbell, A, Cardini, A, Connor, P, Consuegra Rodríguez, S, Cocoros, A, Contreras-Campana, C, Danilov, V, Arcaro, D, Kirsanov, M, De Wit, A, Chhibra, SS, Rossi, AM, Defranchis, MM, Diez Pardos, C, Domínguez Damiani, D, Eckerlin, G, Eckstein, D, Eminizer, N, Demiragli, Z, Eichhorn, T, Elwood, A, Eren, E, Sznajder, A, Vermassen, B, Estevez Banos, LI, Gallo, E, D'Hondt, J, Geiser, A, Grohsjean, A, Gastler, D, Guthoff, M, Gritsan, AV, Haranko, M, Harb, A, Jafari, A, Rovelli, T, Jomhari, NZ, Krasnikov, N, Jung, H, Kasem, A, Richardson, C, Kasemann, M, De Clercq, J, Kaveh, H, Hung, WT, Keaveney, J, Kleinwort, C, Siroli, GP, Knolle, J, Krücker, D, Lange, W, Rohlf, J, Pashenkov, A, Lenz, T, Lidrych, J, Lipka, K, Lohmann, W, Araujo, M, Lontkovskyi, D, Lokhtin, I, Mankel, R, Melzer-Pellmann, I-A, Revering, M, Meyer, AB, Meyer, M, Missiroli, M, Tlisov, D, Mnich, J, Mussgiller, A, Myronenko, V, Kyriacou, S, Tosi, N, Pérez Adán, D, Bonomally, S, Ban, Y, Pflitsch, SK, Lowette, S, Pitzl, D, Raspereza, A, Saibel, A, Savitskyi, M, Lee, K, Toropin, A, Scheurer, V, Albergo, S, Minafra, N, Maksimovic, P, Schütze, P, Schwanenberger, C, Shevchenko, R, Singh, A, Sosa Ricardo, RE, Marchesini, I, Tholen, H, Turkot, O, Vagnerini, A, Williams, J, Costa, S, Epshteyn, V, Mantilla, C, Van De Klundert, M, Walsh, R, Wen, Y, Wichmann, K, Wissing, C, Zenaiev, O, Zlebcik, R, Mijuskovic, J, Moortgat, S, Nam, K, Mitchell, T, Aggleton, R, Bein, S, Roskes, J, Gavrilov, V, Benato, L, Benecke, A, Dreyer, T, Sperka, D, Ebrahimi, A, Feindt, F, Fröhlich, A, Di Mattia, A, Garbers, C, Garutti, E, Python, Q, Swartz, M, Gonzalez, D, Lychkovskaya, N, Spitzbart, D, Gunnellini, P, Haller, J, Hinzmann, A, Karavdina, A, Potenza, R, Kasieczka, G, Klanner, R, Kogler, R, Kovalchuk, N, Starodumov, A, Suarez, I, Kurz, S, Tavernier, S, Nikitenko, A, Kutzner, V, Lange, J, Tricomi, A, Lange, T, Malara, A, Multhaup, J, Niemeyer, CEN, Sulak, L, Reimers, A, Vámi, TÁ, Rieger, O, Schleper, P, Schumann, S, Popov, V, Tuve, C, Van Doninck, W, Schwandt, J, Sonneveld, J, Zou, D, Stadie, H, Steinbrück, G, Vormwald, B, Baldenegro Barrera, C, Zoi, I, Akbiyik, M, Baselga, M, Barbagli, G, Baur, S, Pozdnyakov, I, Benelli, G, Berger, T, Van Mulders, P, Butz, E, Caspart, R, Chwalek, T, Baringer, P, De Boer, W, Dierlamm, A, Vit, M, El Morabit, K, Borg, J, Burkle, B, Faltermann, N, Giffels, M, Thiel, M, Gottmann, A, Hartmann, F, Beghin, D, Heidecker, C, Bean, A, Husemann, U, Cassese, A, Coubez, X, Iqbal, MA, Kudella, S, Maier, S, Mitra, S, Mozer, MU, Safronov, G, Müller, D, Musich, M, Bargassa, P, Seixas, J, Obraztsov, S, Bilin, B, Nürnberg, A, Quast, G, Rabbertz, K, Savoiu, D, Schäfer, D, Schnepf, M, Spiridonov, A, Schröder, M, Pandey, S, Shvetsov, I, Ceccarelli, R, Boren, S, Simonis, HJ, Ulrich, R, Clerbaux, B, Wassmer, M, Weber, M, Wöhrmann, C, Wolf, R, Cutts, D, Wozniewski, S, Lee, S, Murray, M, Ciulli, V, Stepennov, A, Bylinkin, A, Anagnostou, G, Asenov, P, Daskalakis, G, Geralis, T, Duh, YT, Kyriakis, A, De Lentdecker, G, Loukas, D, Paspalaki, G, Attikis, A, Stakia, A, Diamantopoulou, M, Isidori, T, Toms, M, Karathanasis, G, Raicevic, N, Kontaxakis, P, Manousakis-Katsikakis, A, Panagiotou, A, Papavergou, I, Saoulidou, N, Civinini, C, Delannoy, H, Theofilatos, K, Vellidis, K, Khalil, S, Chen, G, Vourliotis, E, Vlasov, E, Bakas, G, Kousouris, K, Papakrivopoulos, I, Tsipolitis, G, D'Alessandro, R, Zacharopoulou, A, Evangelou, I, Foudas, C, Hadley, M, Dorney, B, King, J, Gianneios, P, Katsoulis, P, Zhokin, A, Kokkas, P, Mallios, S, Fiori, F, Manitara, K, Manthos, N, Heintz, U, Papadopoulos, I, Strologas, J, Triantis, FA, Krintiras, G, Tsitsonis, D, Favart, L, Bartók, M, Aushev, T, Focardi, E, Chudasama, R, Ramirez-Garcia, M, Hogan, JM, Csanad, M, Major, P, Mandal, K, Mehta, A, Pasztor, G, Susa, T, Surányi, O, Veres, GI, Bencze, G, Latino, G, Kwok, KHM, Grebenyuk, A, Bychkova, O, Hajdu, C, Horvath, D, Sikler, F, Veszpremi, V, Vesztergombi, G, Kropivnitskaya, A, Beni, N, Czellar, S, Laird, E, Lenzi, P, Karancsi, J, Molnar, J, Szillasi, Z, Chistov, R, Kalsi, AK, Raics, P, Teyssier, D, Trocsanyi, ZL, Lindsey, C, Landsberg, G, Ujvari, B, Lizzo, M, Csorgo, T, Metzger, WJ, Nemes, F, Novak, T, Choudhury, S, Danilov, M, Komaragiri, JR, Moureaux, L, Rane, A, Tiwari, PC, Mcbrayer, W, Bruno, G, Bahinipati, S, Kar, C, Kole, G, Mal, P, Muraleedharan Nair Bindhu, VK, Nayak, A, Sahoo, DK, Yumiceva, F, Tonelli Manganote, EJ, Swain, SK, Bansal, S, Tarkovskii, E, Petrushanko, S, Bastos, D, Popov, A, Beri, SB, Bhatnagar, V, Chauhan, S, Rusack, R, Dhingra, N, Gupta, R, Kaur, A, Kaur, M, Polikarpov, S, Meschini, M, Kaur, S, Schiber, C, Modak, A, Paoletti, S, Lau, KT, Seidita, R, Sguazzoni, G, Viliani, L, Benussi, L, Bianco, S, Bhardwaj, A, Piccolo, D, Bozzo, M, Ferro, F, Savrin, V, Lee, J, De Oliveira Martins, C, Caputo, C, Mulargia, R, Robutti, E, Tosi, S, Benaglia, A, Choudhary, BC, Beschi, A, Brivio, F, Ciriolo, V, Narain, M, Dinardo, ME, Dini, P, Nogima, H, Snigirev, A, Gennai, S, David, P, Ghezzi, A, Garg, RB, 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Madhusudanan Sreekala, J, Mallampalli, A, Pinna, D, Ruggles, T, Savin, A, Smith, W, Teague, D, Trembath-reichert, S, Yerevan Physics Institute, Institut für Hochenergiephysik, Institute for Nuclear Problems, Universiteit Antwerpen, Vrije Universiteit Brussel, Université Libre de Bruxelles, Ghent University, Université Catholique de Louvain, Centro Brasileiro de Pesquisas Fisicas, Universidade do Estado do Rio de Janeiro (UERJ), Universidade Estadual Paulista (UNESP), Universidade Federal do ABC (UFABC), Bulgarian Academy of Sciences, University of Sofia, Beihang University, Tsinghua University, Institute of High Energy Physics, Peking University, Zhejiang University, Universidad de Los Andes, Universidad de Antioquia, Mechanical Engineering and Naval Architecture, Faculty of Science, Institute Rudjer Boskovic, University of Cyprus, Charles University, Escuela Politecnica Nacional, Universidad San Francisco de Quito, Egyptian Network of High Energy Physics, National Institute of 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Simonis H.J., Ulrich R., Wassmer M., Weber M., Wohrmann C., Wolf R., Wozniewski S., Anagnostou G., Asenov P., Daskalakis G., Geralis T., Kyriakis A., Loukas D., Paspalaki G., Stakia A., Diamantopoulou M., Karathanasis G., Kontaxakis P., Manousakis-Katsikakis A., Panagiotou A., Papavergou I., Saoulidou N., Theofilatos K., Vellidis K., Vourliotis E., Bakas G., Kousouris K., Papakrivopoulos I., Tsipolitis G., Zacharopoulou A., Evangelou I., Foudas C., Gianneios P., Katsoulis P., Kokkas P., Mallios S., Manitara K., Manthos N., Papadopoulos I., Strologas J., Triantis F.A., Tsitsonis D., Bartok M., Chudasama R., Csanad M., Major P., Mandal K., Mehta A., Pasztor G., Suranyi O., Veres G.I., Bencze G., Hajdu C., Horvath D., Sikler F., Veszpremi V., Vesztergombi G., Beni N., Czellar S., Karancsi J., Molnar J., Szillasi Z., Raics P., Teyssier D., Trocsanyi Z.L., Ujvari B., Csorgo T., Metzger W.J., Nemes F., Novak T., Choudhury S., Komaragiri J.R., Tiwari P.C., Bahinipati S., Kar C., Kole G., Mal P., Muraleedharan Nair Bindhu V.K., Nayak A., Sahoo D.K., Swain S.K., Bansal S., Beri S.B., Bhatnagar V., Chauhan S., Dhingra N., Gupta R., Kaur A., Kaur M., Kaur S., Kumari P., Lohan M., Meena M., Sandeep K., Sharma S., Singh J.B., Virdi A.K., Walia G., Bhardwaj A., Choudhary B.C., Garg R.B., Gola M., Keshri S., Kumar A., Naimuddin M., Priyanka P., Ranjan K., Shah A., Sharma R., Bhardwaj R., Bharti M., Bhattacharya R., Bhattacharya S., Bhawandeep U., Bhowmik D., Dutta S., Gomber B., Maity M., Mondal K., Nandan S., Purohit A., Rout P.K., Saha G., Sarkar S., Sharan M., Singh B., Thakur S., Behera P.K., Behera S.C., Kalbhor P., Muhammad A., Pradhan R., Pujahari P.R., Sikdar A.K., Dutta D., Jha V., Mishra D.K., Netrakanti P.K., Pant L.M., Shukla P., Aziz T., Bhat M.A., Dugad S., Mohanty G.B., Sur N., Kumar Verma R., Banerjee S., Chatterjee S., Das P., Guchait M., Karmakar S., Kumar S., Majumder G., Mazumdar K., Sahoo N., Sawant S., Dube S., Kansal B., Kapoor A., Kothekar K., Pandey S., 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Barnes V.E., Chawla R., Das S., Gutay L., Jones M., Jung A.W., Mahakud B., Miller D.H., Negro G., Neumeister N., Peng C.C., Piperov S., Qiu H., Schulte J.F., Trevisani N., Wang F., Xiao R., Xie W., Cheng T., Dolen J., Parashar N., Baty A., Behrens U., Dildick S., Ecklund K.M., Freed S., Geurts F.J.M., Kilpatrick M., Padley B.P., Redjimi R., Roberts J., Rorie J., Shi W., Stahl Leiton A.G., Tu Z., Zhang A., Bodek A., De Barbaro P., Demina R., Dulemba J.L., Fallon C., Ferbel T., Galanti M., Garcia-Bellido A., Hindrichs O., Khukhunaishvili A., Ranken E., Taus R., Chiarito B., Chou J.P., Gandrakota A., Gershtein Y., Halkiadakis E., Hart A., Heindl M., Hughes E., Kaplan S., Laflotte I., Lath A., Montalvo R., Nash K., Osherson M., Salur S., Schnetzer S., Somalwar S., Stone R., Thomas S., Acharya H., Delannoy A.G., Spanier S., Bouhali O., Dalchenko M., Delgado A., Eusebi R., Gilmore J., Huang T., Kamon T., Luo S., Malhotra S., Marley D., Mueller R., Overton D., Pernie L., Rathjens D., Safonov A., Akchurin N., Damgov J., De Guio F., Hegde V., Kunori S., Lamichhane K., Mengke T., Muthumuni S., Peltola T., Undleeb S., Volobouev I., Whitbeck A., Greene S., Gurrola A., Janjam R., Johns W., Maguire C., Melo A., Ni H., Padeken K., Romeo F., Sheldon P., Tuo S., Velkovska J., Verweij M., Ang L., Arenton M.W., Barria P., Cox B., Cummings G., Hakala J., Hirosky R., Joyce M., Ledovskoy A., Neu C., Tannenwald B., Wolfe E., Xia F., Harr R., Karchin P.E., Poudyal N., Sturdy J., Thapa P., Black K., Bose T., Buchanan J., Caillol C., Carlsmith D., Dasu S., De Bruyn I., Dodd L., Galloni C., He H., Herndon M., Herve A., Hussain U., Lanaro A., Loeliger A., Loveless R., Madhusudanan Sreekala J., Mallampalli A., Pinna D., Ruggles T., Savin A., Smith W.H., Teague D., Trembath-Reichert S., Sirunyan, A. M., Tumasyan, A., Adam, W., Ambrogi, F., Bergauer, T., Dragicevic, M., Ero, J., Escalante Del Valle, A., Flechl, M., Fruhwirth, R., Jeitler, M., Krammer, N., Kratschmer, I., Liko, D., Madlener, T., Mikulec, I., Rad, N., Schieck, J., Schofbeck, R., Spanring, M., Waltenberger, W., Wulz, C. -E., Zarucki, M., Drugakov, V., Mossolov, V., Suarez Gonzalez, J., Darwish, M. R., De Wolf, E. A., Di Croce, D., Janssen, X., Kello, T., Lelek, A., Pieters, M., Rejeb Sfar, H., Van Haevermaet, H., Van Mechelen, P., Van Putte, S., Van Remortel, N., Blekman, F., Bols, E. S., Chhibra, S. S., D'Hondt, J., De Clercq, J., Lontkovskyi, D., Lowette, S., Marchesini, I., Moortgat, S., Python, Q., Tavernier, S., Van Doninck, W., Van Mulders, P., Beghin, D., Bilin, B., Clerbaux, B., De Lentdecker, G., Delannoy, H., Dorney, B., Favart, L., Grebenyuk, A., Kalsi, A. K., Moureaux, L., Popov, A., Postiau, N., Starling, E., Thomas, L., Vander Velde, C., Vanlaer, P., Vannerom, D., Cornelis, T., Dobur, D., Khvastunov, I., Niedziela, M., Roskas, C., Skovpen, K., Tytgat, M., Verbeke, W., Vermassen, B., Vit, M., Bruno, G., Caputo, C., David, P., Delaere, C., Delcourt, M., Giammanco, A., Lemaitre, V., Prisciandaro, J., Saggio, A., Vischia, P., Zobec, J., Alves, G. A., Correia Silva, G., Hensel, C., Moraes, A., Belchior Batista Das Chagas, E., Carvalho, W., Chinellato, J., Coelho, E., Da Costa, E. M., Da Silveira, G. G., De Jesus Damiao, D., De Oliveira Martins, C., Fonseca De Souza, S., Malbouisson, H., Martins, J., Matos Figueiredo, D., Medina Jaime, M., Melo De Almeida, M., Mora Herrera, C., Mundim, L., Nogima, H., Prado Da Silva, W. L., Rebello Teles, P., Sanchez Rosas, L. J., Santoro, A., Sznajder, A., Thiel, M., Tonelli Manganote, E. J., Torres Da Silva De Araujo, F., Vilela Pereira, A., Bernardes, C. A., Calligaris, L., Tomei, T. R. F. P., Gregores, E. M., Lemos, D. S., Mercadante, P. G., Novaes, S. F., Padula, S. S., Aleksandrov, A., Antchev, G., Hadjiiska, R., Iaydjiev, P., Misheva, M., Rodozov, M., Shopova, M., Sultanov, G., Bonchev, M., Dimitrov, A., Ivanov, T., Litov, L., Pavlov, B., Petkov, P., Petrov, A., Fang, W., Gao, X., Yuan, L., Ahmad, M., Hu, Z., Wang, Y., Chen, G. M., Chen, H. S., Chen, M., Jiang, C. H., Leggat, D., Liao, H., Liu, Z., Spiezia, A., Tao, J., Yazgan, E., Zhang, H., Zhang, S., Zhao, J., Agapitos, A., Ban, Y., Chen, G., Levin, A., Li, J., Li, L., Li, Q., Mao, Y., Qian, S. J., Wang, D., Wang, Q., Xiao, M., Avila, C., Cabrera, A., Florez, C., Gonzalez Hernandez, C. F., Segura Delgado, M. A., Mejia Guisao, J., Ruiz Alvarez, J. D., Salazar Gonzalez, C. A., Vanegas Arbelaez, N., Giljanovic, D., Godinovic, N., Lelas, D., Puljak, I., Sculac, T., Antunovic, Z., Kovac, M., Brigljevic, V., Ferencek, D., Kadija, K., Majumder, D., Mesic, B., Roguljic, M., Starodumov, A., Susa, T., Ather, M. W., Attikis, A., Erodotou, E., Ioannou, A., Kolosova, M., Konstantinou, S., Mavromanolakis, G., Mousa, J., Nicolaou, C., Ptochos, F., Razis, P. A., Rykaczewski, H., Saka, H., Tsiakkouri, D., Finger, M., Kveton, A., Tomsa, J., Ayala, E., Carrera Jarrin, E., Assran, Y., Salama, E., Bhowmik, S., Carvalho Antunes De Oliveira, A., Dewanjee, R. K., Ehataht, K., Kadastik, M., Raidal, M., Veelken, C., Eerola, P., Forthomme, L., Kirschenmann, H., Osterberg, K., Voutilainen, M., Brucken, E., Garcia, F., Havukainen, J., Heikkila, J. K., Karimaki, V., Kim, M. S., Kinnunen, R., Lampen, T., Lassila-Perini, K., Laurila, S., Lehti, S., Linden, T., Siikonen, H., Tuominen, E., Tuominiemi, J., Luukka, P., Tuuva, T., Besancon, M., Couderc, F., Dejardin, M., Denegri, D., Fabbro, B., Faure, J. L., Ferri, F., Ganjour, S., Givernaud, A., Gras, P., Hamel De Monchenault, G., Jarry, P., Leloup, C., Lenzi, B., Locci, E., Malcles, J., Rander, J., Rosowsky, A., Sahin, M. O., Savoy-Navarro, A., Titov, M., Yu, G. B., Ahuja, S., Amendola, C., Beaudette, F., Bonanomi, M., Busson, P., Charlot, C., Diab, B., Falmagne, G., Granier De Cassagnac, R., Kucher, I., Lobanov, A., Martin Perez, C., Nguyen, M., Ochando, C., Paganini, P., Rembser, J., Salerno, R., Sauvan, J. B., Sirois, Y., Zabi, A., Zghiche, A., Agram, J. -L., Andrea, J., Bloch, D., Bourgatte, G., Brom, J. -M., Chabert, E. C., Collard, C., Conte, E., Fontaine, J. -C., Gele, D., Goerlach, U., Grimault, C., Le Bihan, A. -C., Tonon, N., Van Hove, P., Gadrat, S., Beauceron, S., Bernet, C., Boudoul, G., Camen, C., Carle, A., Chanon, N., Chierici, R., Contardo, D., Depasse, P., El Mamouni, H., Fay, J., Gascon, S., Gouzevitch, M., Ille, B., Jain, S., Laktineh, I. B., Lattaud, H., Lesauvage, A., Lethuillier, M., Mirabito, L., Perries, S., Sordini, V., Torterotot, L., Touquet, G., Vander Donckt, M., Viret, S., Toriashvili, T., Tsamalaidze, Z., Autermann, C., Feld, L., Klein, K., Lipinski, M., Meuser, D., Pauls, A., Preuten, M., Rauch, M. P., Schulz, J., Teroerde, M., Erdmann, M., Fischer, B., Ghosh, S., Hebbeker, T., Hoepfner, K., Keller, H., Mastrolorenzo, L., Merschmeyer, M., Meyer, A., Millet, P., Mocellin, G., Mondal, S., Mukherjee, S., Noll, D., Novak, A., Pook, T., Pozdnyakov, A., Quast, T., Radziej, M., Rath, Y., Reithler, H., Roemer, J., Schmidt, A., Schuler, S. C., Sharma, A., Wiedenbeck, S., Zaleski, S., Flugge, G., Haj Ahmad, W., Hlushchenko, O., Kress, T., Muller, T., Nowack, A., Pistone, C., Pooth, O., Roy, D., Sert, H., Stahl, A., Aldaya Martin, M., Asmuss, P., Babounikau, I., Bakhshiansohi, H., Beernaert, K., Behnke, O., Bermudez Martinez, A., Bin Anuar, A. A., Borras, K., Botta, V., Campbell, A., Cardini, A., Connor, P., Consuegra Rodriguez, S., Contreras-Campana, C., Danilov, V., De Wit, A., Defranchis, M. M., Diez Pardos, C., Dominguez Damiani, D., Eckerlin, G., Eckstein, D., Eichhorn, T., Elwood, A., Eren, E., Estevez Banos, L. I., Gallo, E., Geiser, A., Grohsjean, A., Guthoff, M., Haranko, M., Harb, A., Jafari, A., Jomhari, N. Z., Jung, H., Kasem, A., Kasemann, M., Kaveh, H., Keaveney, J., Kleinwort, C., Knolle, J., Krucker, D., Lange, W., Lenz, T., Lidrych, J., Lipka, K., Lohmann, W., Mankel, R., Melzer-Pellmann, I. -A., Meyer, A. B., Meyer, M., Missiroli, M., Mnich, J., Mussgiller, A., Myronenko, V., Perez Adan, D., Pflitsch, S. K., Pitzl, D., Raspereza, A., Saibel, A., Savitskyi, M., Scheurer, V., Schutze, P., Schwanenberger, C., Shevchenko, R., Singh, A., Sosa Ricardo, R. E., Tholen, H., Turkot, O., Vagnerini, A., Van De Klundert, M., Walsh, R., Wen, Y., Wichmann, K., Wissing, C., Zenaiev, O., Zlebcik, R., Aggleton, R., Bein, S., Benato, L., Benecke, A., Dreyer, T., Ebrahimi, A., Feindt, F., Frohlich, A., Garbers, C., Garutti, E., Gonzalez, D., Gunnellini, P., Haller, J., Hinzmann, A., Karavdina, A., Kasieczka, G., Klanner, R., Kogler, R., Kovalchuk, N., Kurz, S., Kutzner, V., Lange, J., Lange, T., Malara, A., Multhaup, J., Niemeyer, C. E. N., Reimers, A., Rieger, O., Schleper, P., Schumann, S., Schwandt, J., Sonneveld, J., Stadie, H., Steinbruck, G., Vormwald, B., Zoi, I., Akbiyik, M., Baselga, M., Baur, S., Berger, T., Butz, E., Caspart, R., Chwalek, T., De Boer, W., Dierlamm, A., El Morabit, K., Faltermann, N., Giffels, M., Gottmann, A., Hartmann, F., Heidecker, C., Husemann, U., Iqbal, M. A., Kudella, S., Maier, S., Mitra, S., Mozer, M. U., Muller, D., Musich, M., Nurnberg, A., Quast, G., Rabbertz, K., Savoiu, D., Schafer, D., Schnepf, M., Schroder, M., Shvetsov, I., Simonis, H. J., Ulrich, R., Wassmer, M., Weber, M., Wohrmann, C., Wolf, R., Wozniewski, S., Anagnostou, G., Asenov, P., Daskalakis, G., Geralis, T., Kyriakis, A., Loukas, D., Paspalaki, G., Stakia, A., Diamantopoulou, M., Karathanasis, G., Kontaxakis, P., Manousakis-Katsikakis, A., Panagiotou, A., Papavergou, I., Saoulidou, N., Theofilatos, K., Vellidis, K., Vourliotis, E., Bakas, G., Kousouris, K., Papakrivopoulos, I., Tsipolitis, G., Zacharopoulou, A., Evangelou, I., Foudas, C., Gianneios, P., Katsoulis, P., Kokkas, P., Mallios, S., Manitara, K., Manthos, N., Papadopoulos, I., Strologas, J., Triantis, F. A., Tsitsonis, D., Bartok, M., Chudasama, R., Csanad, M., Major, P., Mandal, K., Mehta, A., Pasztor, G., Suranyi, O., Veres, G. I., Bencze, G., Hajdu, C., Horvath, D., Sikler, F., Veszpremi, V., Vesztergombi, G., Beni, N., Czellar, S., Karancsi, J., Molnar, J., Szillasi, Z., Raics, P., Teyssier, D., Trocsanyi, Z. L., Ujvari, B., Csorgo, T., Metzger, W. J., Nemes, F., Novak, T., Choudhury, S., Komaragiri, J. R., Tiwari, P. C., Bahinipati, S., Kar, C., Kole, G., Mal, P., Muraleedharan Nair Bindhu, V. K., Nayak, A., Sahoo, D. K., Swain, S. K., Bansal, S., Beri, S. B., Bhatnagar, V., Chauhan, S., Dhingra, N., Gupta, R., Kaur, A., Kaur, M., Kaur, S., Kumari, P., Lohan, M., Meena, M., Sandeep, K., Sharma, S., Singh, J. B., Virdi, A. K., Walia, G., Bhardwaj, A., Choudhary, B. C., Garg, R. B., Gola, M., Keshri, S., Kumar, A., Naimuddin, M., Priyanka, P., Ranjan, K., Shah, A., Sharma, R., Bhardwaj, R., Bharti, M., Bhattacharya, R., Bhattacharya, S., Bhawandeep, U., Bhowmik, D., Dutta, S., Gomber, B., Maity, M., Mondal, K., Nandan, S., Purohit, A., Rout, P. K., Saha, G., Sarkar, S., Sharan, M., Singh, B., Thakur, S., Behera, P. K., Behera, S. C., Kalbhor, P., Muhammad, A., Pradhan, R., Pujahari, P. R., Sikdar, A. K., Dutta, D., Jha, V., Mishra, D. K., Netrakanti, P. K., Pant, L. M., Shukla, P., Aziz, T., Bhat, M. A., Dugad, S., Mohanty, G. B., Sur, N., Kumar Verma, R., Banerjee, S., Chatterjee, S., Das, P., Guchait, M., Karmakar, S., Kumar, S., Majumder, G., Mazumdar, K., Sahoo, N., Sawant, S., Dube, S., Kansal, B., Kapoor, A., Kothekar, K., Pandey, S., Rane, A., Rastogi, A., Chenarani, S., Etesami, S. M., Khakzad, M., Mohammadi Najafabadi, M., Naseri, M., Rezaei Hosseinabadi, F., Felcini, M., Grunewald, M., Abbrescia, M., Aly, R., Calabria, C., Colaleo, A., Creanza, D., Cristella, L., De Filippis, N., De Palma, M., Di Florio, A., Elmetenawee, W., Fiore, L., Gelmi, A., Iaselli, G., Ince, M., Lezki, S., Maggi, G., Maggi, M., Merlin, J. A., Miniello, G., My, S., Nuzzo, S., Pompili, A., Pugliese, G., Radogna, R., Ranieri, A., Selvaggi, G., Silvestris, L., Simone, F. M., Venditti, R., Verwilligen, P., Abbiendi, G., Battilana, C., Bonacorsi, D., Borgonovi, L., Braibant-Giacomelli, S., Campanini, R., Capiluppi, P., Castro, A., Cavallo, F. R., Ciocca, C., Codispoti, G., Cuffiani, M., Dallavalle, G. M., Fabbri, F., Fanfani, A., Fontanesi, E., Giacomelli, P., Grandi, C., Guiducci, L., Iemmi, F., Lo Meo, S., Marcellini, S., Masetti, G., Navarria, F. L., Perrotta, A., Primavera, F., Rossi, A. M., Rovelli, T., Siroli, G. 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M., Layer, L., Lista, L., Meola, S., Paolucci, P., Rossi, B., Sciacca, C., Voevodina, E., Azzi, P., Bacchetta, N., Bisello, D., Boletti, A., Bragagnolo, A., Carlin, R., Checchia, P., De Castro Manzano, P., Dorigo, T., Dosselli, U., Gasparini, F., Gasparini, U., Gozzelino, A., Hoh, S. Y., Margoni, M., Meneguzzo, A. T., Pazzini, J., Presilla, M., Ronchese, P., Rossin, R., Simonetto, F., Tiko, A., Tosi, M., Zanetti, M., Zotto, P., Zucchetta, A., Zumerle, G., Braghieri, A., Fiorina, D., Montagna, P., Ratti, S. P., Re, V., Ressegotti, M., Riccardi, C., Salvini, P., Vai, I., Vitulo, P., Biasini, M., Bilei, G. M., Ciangottini, D., Fano, L., Lariccia, P., Leonardi, R., Manoni, E., Mantovani, G., Mariani, V., Menichelli, M., Rossi, A., Santocchia, A., Spiga, D., Androsov, K., Azzurri, P., Bagliesi, G., Bertacchi, V., Bianchini, L., Boccali, T., Castaldi, R., Ciocci, M. A., Dell'Orso, R., Donato, S., Giannini, L., Giassi, A., Grippo, M. T., Ligabue, F., Manca, E., Mandorli, G., Messineo, A., Palla, F., Rizzi, A., Rolandi, G., Roy Chowdhury, S., Scribano, A., Spagnolo, P., Tenchini, R., Tonelli, G., Turini, N., Venturi, A., Verdini, P. G., Cavallari, F., Cipriani, M., Del Re, D., Di Marco, E., Diemoz, M., Longo, E., Meridiani, P., Organtini, G., Pandolfi, F., Paramatti, R., Quaranta, C., Rahatlou, S., Rovelli, C., Santanastasio, F., Soffi, L., Tramontano, R., Amapane, N., Arcidiacono, R., Argiro, S., Arneodo, M., Bartosik, N., Bellan, R., Bellora, A., Biino, C., Cappati, A., Cartiglia, N., Cometti, S., Costa, M., Covarelli, R., Demaria, N., Gonzalez Fernandez, J. R., Kiani, B., Legger, F., Mariotti, C., Maselli, S., Migliore, E., Monaco, V., Monteil, E., Monteno, M., Obertino, M. M., Ortona, G., Pacher, L., Pastrone, N., Pelliccioni, M., Pinna Angioni, G. 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- Subjects
General Physics ,W-TRANSVERSE-MOMENTUM ,Physics, Multidisciplinary ,P(P)OVER-BAR COLLISIONS ,Charm quark ,Charmed mesons ,DECAYS ,09 Engineering ,High Energy Physics - Experiment ,ANGULAR-DISTRIBUTION ,CROSS-SECTIONS ,Polarization ,Quantum Chromodynamics ,Nuclear Experiment ,Particle Physics ,01 Mathematical Sciences ,Hadron colliders ,Science & Technology ,PP COLLISIONS ,02 Physical Sciences ,Particle Physics, LHC, Quantum Chromodynamics, Charmed mesons, Polarization ,hep-ex ,Physics ,PIONS ,Settore FIS/01 - Fisica Sperimentale ,ANGLE DISTRIBUTION ,Physical Sciences ,QUARKONIUM PRODUCTION ,LEPTONS ,CMS Collaboration ,LHC ,Physics - LHC - CMS ,quarkonia polarization LHC - Abstract
Made available in DSpace on 2022-04-30T23:21:35Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-04-24 The polarizations of promptly produced χc1 and χc2 mesons are studied using data collected by the CMS experiment at the LHC, in proton-proton collisions at s=8 TeV. The χc states are reconstructed via their radiative decays χc→J/ψγ, with the photons being measured through conversions to e+e-, which allows the two states to be well resolved. The polarizations are measured in the helicity frame, through the analysis of the χc2 to χc1 yield ratio as a function of the polar or azimuthal angle of the positive muon emitted in the J/ψ→μ+μ- decay, in three bins of J/ψ transverse momentum. While no differences are seen between the two states in terms of azimuthal decay angle distributions, they are observed to have significantly different polar anisotropies. The measurement favors a scenario where at least one of the two states is strongly polarized along the helicity quantization axis, in agreement with nonrelativistic quantum chromodynamics predictions. This is the first measurement of significantly polarized quarkonia produced at high transverse momentum. Yerevan Physics Institute Institut für Hochenergiephysik Institute for Nuclear Problems Universiteit Antwerpen Vrije Universiteit Brussel Université Libre de Bruxelles Ghent University Université Catholique de Louvain Centro Brasileiro de Pesquisas Fisicas Universidade Do Estado Do Rio de Janeiro Universidade Estadual Paulista Universidade Federal Do ABC Institute for Nuclear Research and Nuclear Energy Bulgarian Academy of Sciences University of Sofia Beihang University Department of Physics Tsinghua University Institute of High Energy Physics State Key Laboratory of Nuclear Physics and Technology Peking University Zhejiang University Universidad de Los Andes Universidad de Antioquia University of Split Faculty of Electrical Engineering Mechanical Engineering and Naval Architecture University of Split Faculty of Science Institute Rudjer Boskovic University of Cyprus Charles University Escuela Politecnica Nacional Universidad San Francisco de Quito Academy of Scientific Research and Technology of the Arab Republic of Egypt Egyptian Network of High Energy Physics National Institute of Chemical Physics and Biophysics Department of Physics University of Helsinki Helsinki Institute of Physics Lappeenranta University of Technology IRFU CEA Université Paris-Saclay Laboratoire Leprince-Ringuet CNRS Ecole Polytechnique Institut Polytechnique Université de Strasbourg CNRS IPHC UMR Centre de Calcul de l'Institut National de Physique Nucleaire et de Physique des Particules CNRS Université de Lyon Université Claude Bernard Lyon CNRS-IN2P3 Institut de Physique Nucléaire de Lyon Georgian Technical University Tbilisi State University RWTH Aachen University Physikalisches Institut RWTH Aachen University Physikalisches Institut A RWTH Aachen University Physikalisches Institut B Deutsches Elektronen-Synchrotron University of Hamburg Karlsruher Institut fuer Technologie Institute of Nuclear and Particle Physics (INPP) NCSR Demokritos National and Kapodistrian University of Athens National Technical University of Athens University of Ioánnina MTA-ELTE Lendület CMS Particle Nuclear Physics Group Eötvös Loránd University Wigner Research Centre for Physics Institute of Nuclear Research ATOMKI Institute of Physics University of Debrecen Eszterhazy Karoly University Karoly Robert Campus Indian Institute of Science (IISc) National Institute of Science Education and Research HBNI Panjab University University of Delhi Saha Institute of Nuclear Physics HBNI Indian Institute of Technology Madras Bhabha Atomic Research Centre Tata Institute of Fundamental Research-A Tata Institute of Fundamental Research-B Indian Institute of Science Education and Research (IISER) Institute for Research in Fundamental Sciences (IPM) University College Dublin INFN Università di Bari Politecnico di Bari INFN Sezione di Bologna Università di Bologna INFN Sezione di Catania Università di Catania INFN Sezione di Firenze Università di Firenze INFN Laboratori Nazionali di Frascati INFN Sezione di Genova Università di Genova INFN Sezione di Milano-Bicocca Università di Milano-Bicocca INFN Sezione di Napoli Università di Napoli 'Federico II' Università della Basilicata Università G. Marconi INFN Sezione di Padova Università di Padova Università di Trento INFN Sezione di Pavia Università di Pavia INFN Sezione di Perugia Università di Perugia INFN Sezione di Pisa Università di Pisa Scuola Normale Superiore di Pisa INFN Sezione di Roma Sapienza Università di Roma INFN Sezione di Torino Università di Torino Università Del Piemonte Orientale INFN Sezione di Trieste Università di Trieste Kyungpook National University Chonnam National University Institute for Universe and Elementary Particles Hanyang University Korea University Kyung Hee University Department of Physics Sejong University Seoul National University University of Seoul Sungkyunkwan University Riga Technical University Vilnius University National Centre for Particle Physics Universiti Malaya Universidad de Sonora (UNISON) Centro de Investigacion y de Estudios Avanzados Del IPN Universidad Iberoamericana Benemerita Universidad Autonoma de Puebla Universidad Autónoma de San Luis Potosí University of Montenegro University of Auckland University of Canterbury National Centre for Physics Quaid-I-Azam University AGH University of Science and Technology Faculty of Computer Science Electronics and Telecommunications National Centre for Nuclear Research Institute of Experimental Physics Faculty of Physics University of Warsaw Laboratório de Instrumentação e Física Experimental de Partículas Joint Institute for Nuclear Research Petersburg Nuclear Physics Institute Gatchina Institute for Nuclear Research Institute for Theoretical and Experimental Physics A.I. Alikhanov of NRC 'Kurchatov Institute' Moscow Institute of Physics and Technology National Research Nuclear University Moscow Engineering Physics Institute P.N. Lebedev Physical Institute Skobeltsyn Institute of Nuclear Physics Lomonosov Moscow State University Novosibirsk State University (NSU) Institute for High Energy Physics of National Research Centre Kurchatov Institute National Research Tomsk Polytechnic University Tomsk State University University of Belgrade Faculty of Physics VINCA Institute of Nuclear Sciences Centro de Investigaciones Energéticas Medioambientales y Tecnológicas (CIEMAT) Universidad Autónoma de Madrid Universidad de Oviedo Instituto Universitario de Ciencias y Tecnologías Espaciales de Asturias Instituto de Física de Cantabria (IFCA) CSIC Universidad de Cantabria University of Colombo University of Ruhuna Department of Physics CERN European Organization for Nuclear Research Paul Scherrer Institut ETH Zurich Institute for Particle Physics and Astrophysics Universität Zürich National Central University National Taiwan University (NTU) Chulalongkorn University Faculty of Science Department of Physics Çukurova University Physics Department Science Art Faculty Middle East Technical University Physics Department Bogazici University Istanbul Technical University Istanbul University Institute for Scintillation Materials of National Academy of Science of Ukraine National Scientific Center Kharkov Institute of Physics and Technology University of Bristol Rutherford Appleton Laboratory Imperial College Brunel University Baylor University Catholic University of America University of Alabama Boston University Brown University University of California University of California Department of Physics California Institute of Technology Carnegie Mellon University University of Colorado Boulder Cornell University Fermi National Accelerator Laboratory University of Florida Florida International University Florida State University Florida Institute of Technology University of Illinois at Chicago (UIC) University of Iowa Johns Hopkins University University of Kansas Kansas State University Lawrence Livermore National Laboratory University of Maryland Massachusetts Institute of Technology University of Minnesota University of Mississippi University of Nebraska-Lincoln State University of New York at Buffalo Northeastern University Northwestern University University of Notre Dame Ohio State University Princeton University University of Puerto Rico Purdue University Purdue University Northwest Rice University University of Rochester Department of Rutgers State University of New Jersey University of Tennessee Texas AandM University Texas Tech University Vanderbilt University University of Virginia Wayne State University University of Wisconsin - Madison Universidade Estadual Paulista
- Published
- 2020
15. A statistically-based thermal conductivity model for fuel cell Gas Diffusion Layers
- Author
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Sadeghifar, Hamidreza, Bahrami, Majid, and Djilali, Ned
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THERMAL conductivity , *FUEL cells , *DIFFUSION , *PERMEABILITY , *PREDICTION models , *PARAMETER estimation - Abstract
Abstract: Many of the characterization and theoretical analyses of Gas Diffusion Layers (GDL) transport properties have to date been done as a function of porosity with little attention paid to other geometrical properties. In this paper, a statistical unit cell approach is presented for predicting the thermal conductivity of GDLs by introducing geometrical properties such as the intersecting fiber angles and characteristic distances/aspect ratios. These geometrical properties are deconvoluted analytically using optical and porometry data. The dependency of the thermal conductivity on the geometrical parameters is analyzed, and the GDL structure for optimal heat conduction is identified. It is shown that aspect ratio is as important as porosity in determining conductivity, and that the traditional notion that a porous medium with higher porosity has a lower thermal conductivity is not always true. The maximum thermal conductivity depends primarily on porosity and fiber angle, occurs at an aspect ratio of around unity, and shows negligible dependence on fiber diameter. The geometrical concepts and the measured data presented in this paper help unravel some unexplained trends reported in the literature and provide novel insights on avenues to optimize GDLs. The methodology can be extended to estimate other transport properties such as permeability. [Copyright &y& Elsevier]
- Published
- 2013
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16. Effects of W and Mo crystalline texture on the angular distribution of sputtered atoms.
- Author
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Rogov, A.V., Martynenko, Yu.V., Belova, N.E., and Shulga, V.I.
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TUNGSTEN , *MOLYBDENUM , *ANGULAR distribution (Nuclear physics) , *SPUTTERING (Physics) , *SURFACES (Physics) , *METALS , *CRYSTAL texture , *COMPUTER simulation , *METAL foils , *MAGNETRONS - Abstract
The effects of W and Mo surface crystalline texture on the angular distribution of sputtered atoms were investigated experimentally and by computer simulation. A small-sized planar DC magnetron was used to sputter the target by 200–300 eV Ar+ ions. The crystalline texture was formed under rolling of metal foils and during the preparation of metal bars and was controlled by X-ray diffraction analysis. For W and Mo foils, a strong anisotropy of the angular distribution was found. The character of angular distribution was different in the planes oriented perpendicularly and in parallel to the direction of rolling. In the first case, the angular distribution was peaked at the polar angle θ=0, while in the second case, the angular distribution, in addition to a maximum at θ=0, revealed a pronounced maximum at θ≈ 57° and ≈60° for Mo and W, respectively. For bars, no azimuthal anisotropy was observed, but the angular distribution was peaked at θ=37° (Mo) and θ=45° (W). This is in contrast to the case of non-textured Mo and W polycrystals, for which the angular distribution had a maximum at θ=0. Computer simulation technique in combination with the results of X-ray analysis was used to clarify the above experimental findings. It was demonstrated that the angular distribution of sputtered atoms can be successfully used for the determination of the crystalline texture of metals. [ABSTRACT FROM AUTHOR]
- Published
- 2011
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17. Ablation of CdTe with 100μs pulses from Nd:YAG laser: Velocity distribution of emitted particles
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Rzeszutek, J., Oszwaldowski, M., and Savchuk, V.
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- *
ABLATION (Aerothermodynamics) , *CADMIUM , *TELLURIUM , *ANGULAR distribution (Nuclear physics) - Abstract
Abstract: Investigations of the velocity and the angular distributions of particles (Cd, Te, Te2) emitted into vacuum during the ablation of CdTe with pulsed Nd:YAG laser are presented. The laser pulse duration was 100μs and the energy ranged from 0.16 to 0.28J. Three kinds of targets were used in the experiments: target made of bulk crystal, target made of CdTe pressed powder, and target made of loose powder. Quadrupole mass spectrometer time-of-flight (TOF) measurements of the particle velocities revealed that their distributions are substantially narrowed. These effects are ascribed to strong collisional effects in the gas phase. The particle velocity distributions are well described by the shifted Maxwell–Boltzmann distribution. From fitting this distribution to the TOF experimental data we found that the centre-of-mass–velocity, u, is in the range of (220–600)m/s and the most probable velocity in the centre-of-mass system, v 0 is in the range (140–240)m/s. The average velocity in the laboratory system depends both on the laser pulse energy and on the target preparation method. At lower pulse energies, the values of u decrease with the particle mass, but with an increase in energy, the values of u level. This levelling can be explained by a model of entrainment of heavy particles (Te2) by the stream of lighter particles (Cd, Te). The model is assumed to be applicable for a gas phase with a large number of particle collisions. The found angular dependence of the particle velocities is smaller than expected. It is apparently associated with the roughness of the target surface arising in the ablation process. [Copyright &y& Elsevier]
- Published
- 2008
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18. On the dynamical effects in the characteristics of transition radiation produced by a relativistic electron in a single crystal plate
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Blazhevich, S. and Noskov, A.
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PARTICLES (Nuclear physics) , *SCATTERING (Physics) , *NUCLEAR reactions , *ANGULAR correlations (Nuclear physics) - Abstract
Abstract: This article reports on the transition radiation (TR) of a relativistic electron crossing a crystalline plate, which in the Bragg’s scattering geometry is considered within the framework of the X-ray diffraction dynamical theory. The expressions for TR and diffracted transition radiation (DTR) spectral–angular distribution received allow to discuss the manifestation of the dynamical approach. It is shown, that the spectral–angular characteristics of TR and DTR essentially depend on the orientation of the crystal plate surface when the angle between the electron velocity and the atomic planes is kept constant. This phenomenon is explained by the modification of the frequency range of total external reflection of the radiation under a changing target surface orientation. [Copyright &y& Elsevier]
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- 2006
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19. Orientation effects in angle distribution of the relativistic electron radiation in single crystals
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Blazhevich, S.V., Bochek, G.L., Kulibaba, V.I., Maslov, N.I., Nasonov, N.N., and Shramenko, B.I.
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- *
ELECTRONS , *RADIATION , *CRYSTALS , *RELATIVITY (Physics) - Abstract
The spectral–angular distribution of the radiation of relativistic electrons in a crystal is very sensitive to the radiation mechanism. The results of an experimental research of the orientation effects in ultrarelativistic electron radiation in Si single crystals are presented in this work. The orientation dependences of the radiation angular distributions measured in the conditions of the axis effect manifestation are interpreted. The contribution of abovebarrier electrons in the radiation angle distribution is shown. The effect of “capture” of the radiation beam by crystal axis observed in the experiment has been explained by features of abovebarrier electron movement. [Copyright &y& Elsevier]
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- 2003
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20. Development and evaluation of spatial point process models for epidermal nerve fibers.
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Olsbo, Viktor, Myllymäki, Mari, Waller, Lance A., and Särkkä, Aila
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EPIDERMIS , *NERVE fibers , *POISSON'S equation , *NUCLEAR cluster model , *MIMICRY (Biology) , *BIOMATHEMATICS , *PHYSIOLOGY - Abstract
Highlights: [•] We define two spatial point process models for epidermal nerve fibers (ENFs). [•] The two stage Poisson model provides baseline results and reference values. [•] The non-orphan cluster model better mimics the generation of end points of fibers. [•] We provide inference regarding physiological properties of epidermal nerve fibers. [•] Our hierarchical models offer a rich framework for study of spatial ENF structure. [Copyright &y& Elsevier]
- Published
- 2013
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21. Low-energy stereodynamics in the ion–molecule reactions D+ + D2/HD and H+ + H2/HD: reagent vibrational excitation effect and mass factor effect
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Lü, Rui
- Published
- 2018
- Full Text
- View/download PDF
22. PLATYPUS: A code for reaction dynamics of weakly-bound nuclei at near-barrier energies within a classical dynamical model
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Diaz-Torres, Alexis
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COMPUTER software , *FORTRAN , *NUCLEAR fusion , *PROJECTILES , *ANGULAR momentum (Nuclear physics) , *NUCLEAR excitation , *DISTRIBUTION (Probability theory) , *MONTE Carlo method - Abstract
Abstract: A self-contained Fortran-90 program based on a three-dimensional classical dynamical reaction model with stochastic breakup is presented, which is a useful tool for quantifying complete and incomplete fusion, and breakup in reactions induced by weakly-bound two-body projectiles near the Coulomb barrier. The code calculates (i) integrated complete and incomplete fusion cross sections and their angular momentum distribution, (ii) the excitation energy distribution of the primary incomplete-fusion products, (iii) the asymptotic angular distribution of the incomplete-fusion products and the surviving breakup fragments, and (iv) breakup observables, such as angle, kinetic energy and relative energy distributions. Program summary: Program title: PLATYPUS Catalogue identifier: AEIG_v1_0 Program summary URL: http://cpc.cs.qub.ac.uk/summaries/AEIG_v1_0.html Program obtainable from: CPC Program Library, Queen''s University, Belfast, N. Ireland Licensing provisions: Standard CPC licence, http://cpc.cs.qub.ac.uk/licence/licence.html No. of lines in distributed program, including test data, etc.: 332 342 No. of bytes in distributed program, including test data, etc.: 344 124 Distribution format: tar.gz Programming language: Fortran-90 Computer: Any Unix/Linux workstation or PC with a Fortran-90 compiler Operating system: Linux or Unix RAM: 10 MB Classification: 16.9, 17.7, 17.8, 17.11 Nature of problem: The program calculates a wide range of observables in reactions induced by weakly-bound two-body nuclei near the Coulomb barrier. These include integrated complete and incomplete fusion cross sections and their spin distribution, as well as breakup observables (e.g. the angle, kinetic energy, and relative energy distributions of the fragments). Solution method: All the observables are calculated using a three-dimensional classical dynamical model combined with the Monte Carlo sampling of probability-density distributions. See Refs. [1,2] for further details. Restrictions: The program is suited for a weakly-bound two-body projectile colliding with a stable target. The initial orientation of the segment joining the two breakup fragments is considered to be isotropic. Additional comments: Several source routines from Numerical Recipies, and the Mersenne Twister random number generator package are included to enable independent compilation. Running time: About 75 minutes for input provided, using a PC with 1.5 GHz processor. References: [[1]] A. Diaz-Torres, et al., Phys. Rev. Lett. 98 (2007) 152701. [[2]] A. Diaz-Torres, J. Phys. G: Nucl. Part. Phys. 37 (2010) 075109. [Copyright &y& Elsevier]
- Published
- 2011
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23. Structure is more important than physiology for estimating intracanopy distributions of leaf temperatures
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Sylvain Pincebourde, H. Arthur Woods, Marc Saudreau, University of Montana, Laboratoire de Physique et Physiologie Intégratives de l’Arbre en environnement Fluctuant (PIAF), Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), BIOlogie et GEstion des Risques en agriculture (BIOGER), AgroParisTech-Institut National de la Recherche Agronomique (INRA), Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Institut National de la Recherche Agronomique (INRA), Institut de recherche sur la biologie de l'insecte UMR7261 (IRBI), Université de Tours-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique et Physiologie Intégratives de l’Arbre en environnement Fluctuant - Clermont Auvergne (PIAF), Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne (UCA), and Institut National de la Recherche Agronomique (INRA)-AgroParisTech
- Subjects
0106 biological sciences ,Canopy ,behavioral thermoregulation ,Jarvis parameters ,boundary layer ,Atmospheric sciences ,boundary layers ,01 natural sciences ,tree crown ,Mean radiant temperature ,sensitivity-analysis ,Original Research ,leaf inclination angle distribution ,changement climatique ,Vegetal Biology ,Ecology ,couche limite ,boundary-layer ,Vegetation ,climate change ,[SDE]Environmental Sciences ,feuille ,Stomatal conductance ,plant architecture ,climate ,insect ,leaf ,leaf area density ,leaf inclination ,angle distribution ,numerical model ,stomatal conductance ,temperature ,voxel ,canopy structure ,light interception ,model ,Environmental Sciences & Ecology ,Evolutionary Biology ,010603 evolutionary biology ,Forest ecology ,température ,[SDV.BV]Life Sciences [q-bio]/Vegetal Biology ,conductance stomatique ,Ecology, Evolution, Behavior and Systematics ,global change ,Nature and Landscape Conservation ,Tree canopy ,climat ,Plant community ,simulation numérique ,15. Life on land ,13. Climate action ,numerical simulation ,Environmental science ,Spatial variability ,[SDE.BE]Environmental Sciences/Biodiversity and Ecology ,Biologie végétale ,010606 plant biology & botany - Abstract
International audience; Estimating leaf temperature distributions (LTDs) in canopies is crucial in forest ecology. Leaf temperature affects the exchange of heat, water, and gases, and it alters the performance of leaf-dwelling species such as arthropods, including pests and invaders. LTDs provide spatial variation that may allow arthropods to thermoregulate in the face of long-term changes in mean temperature or incidence of extreme temperatures. Yet, recording LTDs for entire canopies remains challenging. Here, we use an energy-exchange model (RATP) to examine the relative roles of climatic, structural , and physiological factors in influencing three-dimensional LTDs in tree canopies. A Morris sensitivity analysis of 13 parameters showed, not surprisingly, that climatic factors had the greatest overall effect on LTDs. In addition, however, structural parameters had greater effects on LTDs than did leaf physiological parameters. Our results suggest that it is possible to infer forest canopy LTDs from the LTDs measured or simulated just at the surface of the canopy cover over a reasonable range of parameter values. This conclusion suggests that remote sensing data can be used to estimate 3D patterns of temperature variation from 2D images of vegetation surface temperatures. Synthesis and applications. Estimating the effects of LTDs on natural plant-insect communities will require extending canopy models beyond their current focus on individual species or crops. These models, however, contain many parameters, and applying the models to new species or to mixed natural canopies depends on identifying the parameters that matter most. Our results suggest that canopy structural parameters are more important determinants of LTDs than are the physiological parameters that tend to receive the most empirical attention.
- Published
- 2018
24. Some Polarization Effects for Millimeter Wave Propagation in Rain
- Author
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Vogel, W. J., Fannin, B. M., Straiton, A. W., and Jeske, H. E. G.
- Published
- 1976
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25. On Array Processing in Non-Stationary Random Fields
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Böhme, Johann F. and Bjørnø, Leif, editor
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- 1981
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26. Multi-Photon Resonance Ionization of Emitted Particles
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Schick, G. A., Baxter, J. P., Subbiah-Singh, J., Kobrin, P. H., Winograd, N., Goldanskii, Vitalii I., editor, Gomer, Robert, editor, Schäfer, Fritz Peter, editor, Toennies, J. Peter, editor, Benninghoven, Alfred, editor, Colton, Richard J., editor, Simons, David S., editor, and Werner, Helmut W., editor
- Published
- 1986
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27. Asymmetric competition increases leaf inclination effect on light absorption in mixed canopies
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Marion Durand-Gillmann, Roland Huc, Guillaume Simioni, INRA, and GENCI-CINES [2011-c2011016613]
- Subjects
0106 biological sciences ,Ecology ,Leaf angle distribution ,Mixed forests ,Forest management ,3D modelling ,Radiation absorption ,CARBON GAIN ,RADIATION ABSORPTION ,ANGLE DISTRIBUTION ,PLANT CANOPIES ,QUERCUS-ILEX ,AREA INDEX ,MODEL ,FOLIAGE ,INTERCEPTION ,FOREST ,Forestry ,Context (language use) ,15. Life on land ,Atmospheric sciences ,010603 evolutionary biology ,01 natural sciences ,Water balance ,[SDV.SA.SF]Life Sciences [q-bio]/Agricultural sciences/Silviculture, forestry ,Asymmetric competition ,Environmental science ,010606 plant biology & botany - Abstract
International audience; The effects of leaf inclination on plant light capture, growth, and water balance of monospecific canopies are well documented, but we still lack information on such effects in the case of multispecific canopies. We investigated the effects of leaf inclination on the absorption of photosynthetically active radiation (PAR) of a mixed forest. We ran a 3D mechanistic radiation transfer model for a Mediterranean forest where Pinus halepensis makes the upper strata while Quercus ilex occupies the lower strata. As factors, we included (1) the distributions of leaf inclinations that ranged from vertical to horizontal (including the actual inclinations), (2) the fraction of diffuse light, sun position, and leaf area index (LAI), and (3) the Pinus/Quercus LAI ratio. Simulated PAR absorption was more than twice as sensitive to leaf inclination in oaks than in pines because oaks depended on PAR transmitted below the pine layer. The extent of the effect depended on season, fraction of diffuse light, LAI, and vegetation spatial structure. None of the observed inclinations maximized PAR absorption, suggesting a trade-off with water economy. Erroneous assumptions about leaf inclination lead to larger errors when modelling heterogeneous, mixed canopies. This also highlights potential caveats when using models that do not account for the spatial structure of canopies.
- Published
- 2012
28. Low-energy stereodynamics in the ion-molecule reactions D+ + D2/HD and H+ + H2/HD: reagent vibrational excitation effect and mass factor effect.
- Author
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Lü, Rui
- Subjects
- *
ANGULAR momentum (Mechanics) , *MOMENTUM (Mechanics) , *ANGULAR velocity , *MOMENTUM distributions , *ANGULAR momentum (Nuclear physics) , *QUANTUM numbers , *QUANTUM theory - Abstract
The low-energy chemical stereodynamics of these ion-molecule reactions D+ + D2 → D2 + D+, D+ + HD → DH + D+/D2 + H+, H+ + HD → H2 + D+/HD + H+ and H+ + H2 → H2 + H+ has been investigated by performing the quasi-classical trajectory calculations on the ground electronic state potential energy surface (11A′ PES). The polarization-dependent differential cross sections and the probability distributions of
P (θ r ) andP (ϕ r ) have been calculated, compared and discussed within the center-of-mass frame and at the low collision energy of 100 meV. The calculation results indicate that the product scattering and the polarization of the product rotational angular momentum are sensitive to the reactant vibrational quantum number. Such sensitivity increases with the increasing value of mass factor. Moreover, the products from the reaction H+ + HD → HD + H+ show quite different scattering and polarization behaviors with reagent vibration excitation. [ABSTRACT FROM AUTHOR]- Published
- 2018
- Full Text
- View/download PDF
29. Measurement of the bottom-strange meson mixing phase in the full CDF data set
- Author
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Aaltonen, T., Alvarez, González, Amerio, B., Amidei, S., Anastassov, D., Annovi, A., Antos, A., Apollinari, J., Appel, G., J. A., Arisawa, Artikov, T., Asaadi, A., Ashmanskas, J., Auerbach, W., Aurisano, B., Azfar, A., Badgett, F., Bae, W., Barbaro, Galtieri, Barnes, A., V. E., Barnett, B. A., Barria, Bartos, P., Bauce, P., Bedeschi, M., Behari, F., Bellettini, S., Bellinger, G., Benjamin, J., Beretvas, D., Bhatti, A., Bisello, A., Bizjak, D., Bland, I., K. R., Blumenfeld, Bocci, B., Bodek, A., Bortoletto, A., Boudreau, D., Boveia, J., Brigliadori, A., Bromberg, L., Brucken, C., Budagov, E., Budd, J., H. S., Burkett, Busetto, K., Bussey, G., Buzatu, P., Calamba, A., Calancha, A., Camarda, C., Campanelli, S., Campbell, M., Canelli, M., Carls, F., Carlsmith, B., Carosi, D., Carrillo, R., Carron, S., Casal, S., Casarsa, B., Castro, M., Catastini, A., Cauz, P., Cavaliere, D., Cavalli, Sforza, Cerri, M., Cerrito, A., Chen, L., Y. C., Chertok, Chiarelli, M., Chlachidze, G., Chlebana, G., Cho, F., Chokheli, K., Chung, D., W. H., Chung, Y. S., Ciocci, M. A., Clark, Clarke, A., Compostella, C., Convery, G., M. E., Conway, Corbo, J., Cordelli, M., Cox, M., C. A., Cox, D. J., Crescioli, Cuevas, F., Culbertson, J., Dagenhart, R., D'Ascenzo, D., Datta, N., Barbaro, De, Dell'Orso, Mauro, Demortier, M., Deninno, L., Devoto, M., D'Errico, F., Canto, Di, Ruzza, Di, Dittmann, B., J. R., D'Onofrio, Donati, Simone, Dong, P., Dorigo, M., Dorigo, T., Ebina, K., Elagin, A., Eppig, A., Erbacher, R., Errede, S., Ershaidat, N., Eusebi, R., Farrington, S., Feindt, M., Fernandez, J. P., Field, R., Flanagan, G., Forrest, R., Frank, M. J., Franklin, M., Freeman, J. C., Funakoshi, Y., Furic, I., Gallinaro, M., Garcia, J. E., Garfinkel, A. F., Garosi, P., Gerberich, H., Gerchtein, E., Giagu, S., Giakoumopoulou, V., Giannetti, P., Gibson, K., Ginsburg, C. 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Aaltonen, B. Álvarez González, S. Amerio, D. Amidei, A. Anastassov, A. Annovi, J. Anto, G. Apollinari, J. Appel, T. Arisawa, A. Artikov, J. Asaadi, W. Ashmanska, B. Auerbach, A. Aurisano, F. Azfar, W. Badgett, T. Bae, A. Barbaro-Galtieri, V. Barne, B. Barnett, P. Barria, P. Barto, M. Bauce, F. Bedeschi, S. Behari, G. Bellettini, J. Bellinger, D. Benjamin, A. Beretva, A. Bhatti, D. Bisello, I. Bizjak, K. Bland, B. Blumenfeld, A. Bocci, A. Bodek, D. Bortoletto, J. Boudreau, A. Boveia, L. Brigliadori, C. Bromberg, E. Brucken, J. Budagov, H. Budd, K. Burkett, G. Busetto, P. Bussey, A. Buzatu, A. Calamba, C. Calancha, S. Camarda, M. Campanelli, M. Campbell, F. Canelli, B. Carl, D. Carlsmith, R. Carosi, S. Carrillo, S. Carron, B. Casal, M. Casarsa, A. Castro, P. Catastini, D. Cauz, V. Cavaliere, M. Cavalli-Sforza, A. Cerri, L. Cerrito, Y. Chen, M. Chertok, G. Chiarelli, G. Chlachidze, F. Chlebana, K. Cho, D. Chokheli, W. Chung, Y. Chung, M. Ciocci, A. Clark, C. Clarke, G. Compostella, M. Convery, J. Conway, M. Corbo, M. Cordelli, C. Cox, D. Cox, F. Crescioli, J. Cueva, R. Culbertson, D. Dagenhart, N. d’Ascenzo, M. Datta, P. de Barbaro, M. Dell’Orso, L. Demortier, M. Deninno, F. Devoto, M. d’Errico, A. Di Canto, B. Di Ruzza, J. Dittmann, M. D’Onofrio, S. Donati, P. Dong, M. Dorigo, T. Dorigo, K. Ebina, A. Elagin, A. Eppig, R. Erbacher, S. Errede, N. Ershaidat, R. Eusebi, S. Farrington, M. Feindt, J. Fernandez, R. Field, G. Flanagan, R. Forrest, M. Frank, M. Franklin, J. Freeman, Y. Funakoshi, I. Furic, M. Gallinaro, J. Garcia, A. Garfinkel, P. Garosi, H. Gerberich, E. Gerchtein, S. Giagu, V. Giakoumopoulou, P. Giannetti, K. Gibson, C. Ginsburg, N. Giokari, P. Giromini, G. Giurgiu, V. Glagolev, D. Glenzinski, M. Gold, D. Goldin, N. Goldschmidt, A. Golossanov, G. Gomez, G. Gomez-Ceballo, M. Goncharov, O. González, I. Gorelov, A. Goshaw, K. Gouliano, L. Grillo, S. Grinstein, C. Grosso-Pilcher, R. Group, J. Guimaraes da Costa, S. Hahn, E. Halkiadaki, A. Hamaguchi, J. Han, F. Happacher, K. Hara, D. Hare, M. Hare, R. Harr, K. Hatakeyama, C. Hay, M. Heck, J. Heinrich, M. Herndon, S. Hewamanage, A. Hocker, W. Hopkin, D. Horn, S. Hou, R. Hughe, M. Hurwitz, U. Husemann, N. Hussain, M. Hussein, J. Huston, G. Introzzi, M. Iori, A. Ivanov, E. Jame, D. Jang, B. Jayatilaka, E. Jeon, S. Jindariani, M. Jone, K. Joo, S. Jun, T. Junk, T. Kamon, P. Karchin, A. Kasmi, Y. Kato, W. Ketchum, J. Keung, V. Khotilovich, B. Kilminster, D. Kim, H. Kim, J. Kim, M. Kim, S. Kim, Y. Kim, N. Kimura, M. Kirby, S. Klimenko, K. Knoepfel, K. Kondo, D. Kong, J. Konigsberg, A. Kotwal, M. Krep, J. Kroll, D. Krop, M. Kruse, V. Krutelyov, T. Kuhr, M. Kurata, S. Kwang, A. Laasanen, S. Lami, S. Lammel, M. Lancaster, R. Lander, K. Lannon, A. Lath, G. Latino, T. LeCompte, E. Lee, H. Lee, J. Lee, S. Lee, S. Leo, S. Leone, J. Lewi, A. Limosani, C.-J. Lin, M. Lindgren, E. Lipele, A. Lister, D. Litvintsev, C. Liu, H. Liu, Q. Liu, T. Liu, S. Lockwitz, A. Loginov, D. Lucchesi, J. Lueck, P. Lujan, P. Luken, G. Lungu, J. Ly, R. Lysak, R. Madrak, K. Maeshima, P. Maestro, S. Malik, G. Manca, A. Manousakis-Katsikaki, F. Margaroli, C. Marino, M. Martínez, P. Mastrandrea, K. Matera, M. Mattson, A. Mazzacane, P. Mazzanti, K. McFarland, P. McIntyre, R. McNulty, A. Mehta, P. Mehtala, C. Mesropian, T. Miao, D. Mietlicki, A. Mitra, H. Miyake, S. Moed, N. Moggi, M. Mondragon, C. Moon, R. Moore, M. Morello, J. Morlock, P. Movilla Fernandez, A. Mukherjee, Th. Muller, P. Murat, M. Mussini, J. Nachtman, Y. Nagai, J. Naganoma, I. Nakano, A. Napier, J. Nett, C. Neu, M. Neubauer, J. Nielsen, L. Nodulman, S. Noh, O. Norniella, L. Oake, S. Oh, Y. Oh, I. Oksuzian, T. Okusawa, R. Orava, L. Ortolan, S. Pagan Griso, C. Pagliarone, E. Palencia, V. Papadimitriou, A. Paramonov, J. Patrick, G. Pauletta, M. Paulini, C. Pau, D. Pellett, A. Penzo, T. Phillip, G. Piacentino, E. Pianori, J. Pilot, K. Pitt, C. Plager, L. Pondrom, S. Poprocki, K. Potamiano, F. Prokoshin, A. Pranko, F. Ptoho, G. Punzi, A. Rahaman, V. Ramakrishnan, N. Ranjan, I. Redondo, P. Renton, M. Rescigno, T. Riddick, F. Rimondi, L. Ristori, A. Robson, T. Rodrigo, T. Rodriguez, E. Roger, S. Rolli, R. Roser, F. Ruffini, A. Ruiz, J. Ru, V. Rusu, A. Safonov, W. Sakumoto, Y. Sakurai, L. Santi, K. Sato, V. Saveliev, A. Savoy-Navarro, P. Schlabach, A. Schmidt, E. Schmidt, T. Schwarz, L. Scodellaro, A. Scribano, F. Scuri, S. Seidel, Y. Seiya, A. Semenov, F. Sforza, S. Shalhout, T. Shear, P. Shepard, M. Shimojima, M. Shochet, I. Shreyber-Tecker, A. Simonenko, P. Sinervo, K. Sliwa, J. Smith, F. Snider, A. Soha, V. Sorin, H. Song, P. Squillacioti, M. Stancari, R. St. Deni, B. Stelzer, O. Stelzer-Chilton, D. Stentz, J. Strologa, G. Strycker, Y. Sudo, A. Sukhanov, I. Suslov, K. Takemasa, Y. Takeuchi, J. Tang, M. Tecchio, P. Teng, J. Thom, J. Thome, G. Thompson, E. Thomson, D. Toback, S. Tokar, K. Tollefson, T. Tomura, D. Tonelli, S. Torre, D. Torretta, P. Totaro, M. Trovato, F. Ukegawa, S. Uozumi, A. Varganov, F. Vázquez, G. Velev, C. Vellidi, M. Vidal, I. Vila, R. Vilar, J. Vizán, M. Vogel, G. Volpi, P. Wagner, R. Wagner, T. Wakisaka, R. Wallny, S. Wang, A. Warburton, D. Water, W. Wester, D. Whiteson, A. Wicklund, E. Wicklund, S. Wilbur, F. Wick, H. William, J. Wilson, P. Wilson, B. Winer, P. Wittich, S. Wolber, H. Wolfe, T. Wright, X. Wu, Z. Wu, K. Yamamoto, D. Yamato, T. Yang, U. Yang, Y. Yang, W.-M. Yao, G. Yeh, K. Yi, J. Yoh, K. Yorita, T. Yoshida, G. Yu, I. Yu, S. Yu, J. Yun, A. Zanetti, Y. Zeng, C. Zhou, S. Zucchelli, and Universidad de Cantabria
- Subjects
FERMILAB TEVATRON COLLIDER ,Particle physics ,CP-violating asymmetries ,Meson ,B physic ,General Physics and Astronomy ,FOS: Physical sciences ,B physics ,Angle distribution, Branching ratio, CDF experiments, CP violations, CP-violating asymmetries, Data sample, Fermilab Tevatron collider, Integrated luminosity, Longitudinal polarization, Vector meson ,Longitudinal polarization ,7. Clean energy ,01 natural sciences ,High Energy Physics - Experiment ,Vector meson ,Physics and Astronomy (all) ,High Energy Physics - Experiment (hep-ex) ,High Energy Physics - Phenomenology (hep-ph) ,Mixing (mathematics) ,Strange b mesons ,Phase (matter) ,0103 physical sciences ,STRANGE QUARK ,mixing ,Bottom-Strange Meson Mixing Phase ,proton antiproton collisions ,010306 general physics ,TEVATRON ,Nuclear Experiment ,BOTTOM QUARK ,Physics ,Integrated luminosity ,010308 nuclear & particles physics ,Branching ratio ,High Energy Physics - Phenomenology ,CDF experiments ,CP violations ,Full data ,Content (measure theory) ,Angle distribution ,CDF ,Production (computer science) ,High Energy Physics::Experiment ,Data sample - Abstract
We report a measurement of the bottom-strange meson mixing phase βs using the time evolution of Bs0→J/ψ(→μ+μ-)ϕ(→K+K-) decays in which the quark-flavor content of the bottom-strange meson is identified at production. This measurement uses the full data set of proton-antiproton collisions at s=1.96 TeV collected by the Collider Detector experiment at the Fermilab Tevatron, corresponding to 9.6 fb-1 of integrated luminosity. We report confidence regions in the two-dimensional space of βs and the Bs0 decay-width difference ΔΓs and measure βs∈[-π/2,-1.51]∪[-0.06,0.30]∪[1.26,π/2] at the 68% confidence level, in agreement with the standard model expectation. Assuming the standard model value of βs, we also determine ΔΓs=0.068±0.026(stat)±0.009(syst) ps-1 and the mean Bs0 lifetime τs=1.528±0.019(stat)±0.009(syst) ps, which are consistent and competitive with determinations by other experiments., This work was supported by the U.S. Department of Energy and National Science Foundation; the Italian Istituto Nazionale di Fisica Nucleare; the Ministry of Education, Culture, Sports, Science and Technology of Japan; the Natural Sciences and Engineering Research Council of Canada; the National Science Council of the Republic of China; the Swiss National Science Foundation; the A. P. Sloan Foundation; the Bundesministerium für Bildung und Forschung, Germany; the Korean World Class University Program, the National Research Foundation of Korea; the Science and Technology Facilities Council and the Royal Society, UK; the Russian Foundation for Basic Research; the Ministerio de Ciencia e Innovación, and Programa Consolider-Ingenio 2010, Spain; the Slovak R&D Agency; the Academy of Finland; and the Australian Research Council (ARC).
- Published
- 2012
30. Measurement of polarization and search for CP violation in B s0→φφ decays
- Author
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Aaltonen, T., Álvarez, B. c., Amerio, S., Amidei, D., Anastassov, A., Annovi, A., Antos, J. b., Apollinari, G., Appel, J., Apresyan, A., Arisawa, T., Artikov, A., Asaadi, J., Ashmanskas, W., Auerbach, B., Aurisano, A., Azfar, F., Badgett, W., Barbaro Galtieri, A., Barnes, V., Barnett, B., Barria, P. a., Bartos, P. b., Bauce, M. a., Bauer, G., Bedeschi, F., Beecher, D., Behari, S., Bellettini, G. a., Bellinger, J., Benjamin, D., Beretvas, A., Bhatti, A., Binkley, M., Bisello, D. a., Bizjak, I. c., Bland, K., Blumenfeld, B., Bocci, A., Bodek, A., Bortoletto, D., Boudreau, J., Boveia, A., Brigliadori, L. g., Brisuda, A. b., Bromberg, C., Brucken, E., Bucciantonio, M. a., Budagov, J., Budd, H., Budd, S., Burkett, K., Busetto, G. a., Bussey, P., A. c., Cw, Calancha, C., Camarda, S., Campanelli, M., Campbell, M., Canelli, F. p., Carls, B., Carlsmith, D., Carosi, R., Carrillo, S. b., Carron, S., Casal, B., Casarsa, M., Castro, A. g., Catastini, P., Cauz, D., Cavaliere, V., Cavalli Sforza, M., Cerri, A. b., Cerrito, L. c., Chen, Y., Chertok, M., Chiarelli, G., Chlachidze, G., Chlebana, F., K. c., Cr, Chokheli, D., Chou, J., Chung, W., Chung, Y., Ciobanu, C., Ciocci, M. a., Clark, A., Clarke, C., Compostella, G. a., Convery, M., Conway, J., Corbo, M., Cordelli, M., Cox, C., Cox, D., Crescioli, F. a., Almenar, C. 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LEWIS, A. LIMOSANI, C. J. LIN, M. LINDGREN, E. LIPELES, A. LISTER, D. O. LITVINTSEV, C. LIU, H. LIU, Q. LIU, T. LIU, S. LOCKWITZ, A. LOGINOV, D. LUCCHESI, J. LUECK, P. LUJAN, P. LUKENS, G. LUNGU, J. LYS, R. LYSAK, R. MADRAK, K. MAESHIMA, P. MAESTRO, S. MALIK, G. MANCA, A. MANOUSAKIS-KATSIKAKIS, F. MARGAROLI, C. MARINO, M. MARTÍNEZ, P. MASTRANDREA, K. MATERA, M. E. MATTSON, A. MAZZACANE, P. MAZZANTI, K. S. MCFARLAND, P. MCINTYRE, R. MCNULTY, A. MEHTA, P. MEHTALA, C. MESROPIAN, T. MIAO, D. MIETLICKI, A. MITRA, H. MIYAKE, S. MOED, N. MOGGI, M. N. MONDRAGON, C. S. MOON, R. MOORE, M. J. MORELLO, J. MORLOCK, P. MOVILLA FERNANDEZ, A. MUKHERJEE, TH. MULLER, P. MURAT, M. MUSSINI, J. NACHTMAN, Y. NAGAI, J. NAGANOMA, I. NAKANO, A. NAPIER, J. NETT, C. NEU, M. S. NEUBAUER, J. NIELSEN, L. NODULMAN, S. Y. NOH, O. NORNIELLA, L. OAKES, S. H. OH, Y. D. OH, I. OKSUZIAN, T. OKUSAWA, R. ORAVA, L. ORTOLAN, S. PAGAN GRISO, C. PAGLIARONE, E. PALENCIA, V. PAPADIMITRIOU, A. A. PARAMANOV, J. PATRICK, G. PAULETTA, M. PAULINI, C. PAUS, D. E. PELLETT, A. PENZO, T. J. PHILLIPS, G. PIACENTINO, E. PIANORI, J. PILOT, K. PITTS, C. PLAGER, L. PONDROM, S. POPROCKI, K. POTAMIANOS, F. PROKOSHIN, A. PRONKO, F. PTOHOS, G. PUNZI, A. RAHAMAN, V. RAMAKRISHNAN, N. RANJAN, I. REDONDO, P. RENTON, M. RESCIGNO, T. RIDDICK, F. RIMONDI, L. RISTORI, A. ROBSON, T. RODRIGO, T. RODRIGUEZ, E. ROGERS, S. ROLLI, R. ROSER, F. RUFFINI, A. RUIZ, J. RUSS, V. RUSU, A. SAFONOV, W. K. SAKUMOTO, Y. SAKURAI, L. SANTI, K. SATO, V. SAVELIEV, A. SAVOY-NAVARRO, P. SCHLABACH, A. SCHMIDT, E. E. SCHMIDT, T. SCHWARZ, L. SCODELLARO, A. SCRIBANO, F. SCURI, S. SEIDEL, Y. SEIYA, A. SEMENOV, F. SFORZA, S. Z. SHALHOUT, T. SHEARS, P. F. SHEPARD, M. SHIMOJIMA, M. SHOCHET, I. SHREYBER-TECKER, A. SIMONENKO, P. SINERVO, K. SLIWA, J. R. SMITH, F. D. SNIDER, A. SOHA, V. SORIN, P. SQUILLACIOTI, M. STANCARI, R. ST. DENIS, B. STELZER, O. STELZER-CHILTON, D. STENTZ, J. STROLOGAS, G. L. STRYCKER, Y. SUDO, A. SUKHANOV, I. SUSLOV, K. TAKEMASA, Y. TAKEUCHI, J. TANG, M. TECCHIO, P. K. TENG, J. THOM, J. THOME, G. A. THOMPSON, E. THOMSON, D. TOBACK, S. TOKAR, K. TOLLEFSON, T. TOMURA, D. TONELLI, S. TORRE, D. TORRETTA, P. TOTARO, M. TROVATO, F. UKEGAWA, S. UOZUMI, A. VARGANOV, F. VÁZQUEZ, G. VELEV, C. VELLIDIS, M. VIDAL, I. VILA, R. VILAR, J. VIZAN, M. VOGEL, G. VOLPI, P. WAGNER, R. L. WAGNER, T. WAKISAKA, R. WALLNY, S. M. WANG, A. WARBURTON, D. WATERS, W. C. WESTER III, D. WHITESON, A. B. WICKLUND, E. WICKLUND, S. WILBUR, F. WICK, H. H. WILLIAMS, J. S. WILSON, P. WILSON, B. L. WINER, P. WITTICH, S. WOLBERS, H. WOLFE, T. WRIGHT, X. WU, Z. WU, K. YAMAMOTO, D. YAMATO, T. YANG, U. K. YANG, Y. C. YANG, W. M. YAO, G. P. YEH, K. YI, J. YOH, K. YORITA, T. YOSHIDA, G. B. YU, S. S. YU, J. C. YUN, A. ZANETTI, Y. ZENG, C. ZHOU, and S. ZUCCHELLI
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Integrated luminosity ,CP-violating asymmetries ,Fermilab Tevatron collider ,Angle distribution, Branching ratio, CDF experiments, CP violations, CP-violating asymmetries, Data sample, Fermilab Tevatron collider, Integrated luminosity, Longitudinal polarization, Vector meson ,Branching ratio ,Longitudinal polarization ,High energy physic ,Vector meson ,Physics and Astronomy (all) ,CDF experiments ,CP violations ,Polarization ,High energy physics ,Angle distribution ,CDF ,High Energy Physics::Experiment ,CP VIOLATION ,Data sample ,TEVATRON ,Nuclear Experiment - Abstract
We present the first measurement of polarization and CP-violating asymmetries in a Bs0 decay into two light vector mesons, B s 0→φφ, and an improved determination of its branching ratio using 295 decays reconstructed in a data sample corresponding to 2.9fb -1 of integrated luminosity collected by the CDF experiment at the Fermilab Tevatron collider. The fraction of longitudinal polarization is determined to be f L=0.348±0.041(stat)±0.021(syst), and the branching ratio B(Bs0→φφ)=[2.32±0.18(stat)±0. 82(syst)]×10 -5. Asymmetries of decay angle distributions sensitive to CP violation are measured to be A u=-0.007±0. 064(stat)±0.018(syst) and A v=-0.120±0.064(stat) ±0.016(syst). © 2011 American Physical Society.
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- 2011
31. Test of an Extended Mathematical Approach to Calculate Maize Leaf Area Index and Leaf Angle Distribution
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Walter-Shea, Elizabeth A., Mesarch, Mark A., Walter-Shea, Elizabeth A., and Mesarch, Mark A.
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- 2001
32. Bayesian inversion of a forest reflectance model using Sentinel-2 and Landsat 8 satellite images
- Author
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Schraik, Daniel, Varvia, Petri, Korhonen, Lauri, Rautiainen, Miina, Department of Built Environment, Tampere University, University of Eastern Finland, Department of Electronics and Nanoengineering, Aalto-yliopisto, Aalto University, and Computing Sciences
- Subjects
Clumping ,Landsat 8 ,Spectral invariants ,LIGHT-INTERCEPTION ,LEAF-AREA INDEX ,Bayesian inversion ,113 Computer and information sciences ,PHOTON RECOLLISION PROBABILITY ,LAI ,Recollision probability ,ANGLE DISTRIBUTION ,Leaf area index ,Forest reflectance ,VEGETATION ,Sentinel-2 ,CANOPY REFLECTANCE ,PARAS - Abstract
openaire: EC/H2020/771049/EU//FREEDLES The inversion of reflectance models is a generalizable tool to obtain estimates on forest biophysical parameters, such as leaf area index, with theoretically little information need from a study area, instead relying on the knowledge about physical processes in the forest radiation regime. The use of prior information can greatly improve the reflectance model inversion, however, the literature does not yet provide much information on the selection of priors and their influence on the inversion results. In this study, we used a Bayesian approach to invert the PARAS forest reflectance model and retrieve leaf area index from Sentinel-2 MSI and Landsat 8 OLI multispectral satellite images. The PARAS model is based on the theory of spectral invariants, which describes the influence of wavelength-independent parameters on forest radiative transfer. The Bayesian inversion approach is highly flexible, provides uncertainty quantification, and enables the explicit incorporation of prior knowledge into the inversion process. We found that the choice of prior information is crucial in inverting a forest reflectance model to predict leaf area index. Regularizing and informative priors for leaf area index strongly improved the predictions, relative to an uninformative prior, in that they counteracted the saturation effect of the optical signal occuring at high values for leaf area index. The predictions of leaf area index were more accurate for Landsat 8 than for Sentinel-2, due to potential inconsistencies in the visible bands of Sentinel-2 in our data, and the higher spectral resolution. (C) 2019 The Authors. Published by Elsevier Ltd.
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33. Orientation effects in angle distribution of the relativistic electron radiation in single crystals
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Blazhevich, S. V., Bochek, G. L., Kulibaba, V. L., Maslov, N. I., Nasonov, N. N., Shramenko, B. I., Blazhevich, S. V., Bochek, G. L., Kulibaba, V. L., Maslov, N. I., Nasonov, N. N., and Shramenko, B. I.
- Abstract
The spectral-angular distribution of the radiation of relativistic electrons in a crystal is very sensitive to the radiation mechanism. The results of an experimental research of the orientation effects in ultrarelativistic electron radiation in Si single crystals are presented in this work, Belgorod State University
34. On the dynamical effects in the characteristics of transition radiation produced by a relativistic electron in a single crystal plate
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Blazhevich, S. V., Noskov, A. V., Blazhevich, S. V., and Noskov, A. V.
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This article reports on the transition radiation (TR) of a relativistic electron crossing a crystalline plate, which in the Bragg’s scattering geometry is considered within the framework of the X-ray diffraction dynamical theory, Belgorod State University
35. A way to increase the spectral-angular density of diffracted transition radiation of the relativistic electron in single crystal
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Blazhevich, S. V., Noskov, A. V., Blazhevich, S. V., and Noskov, A. V.
- Abstract
Diffracted transition X-radiation (DTR) of relativistic electron crossing a single crystal plate of limited thickness is considered within the framework of x-ray diffraction dynamical theory in the geometry of Bragg, Belgorod State University
36. Investigation into conditions of experimental observation of Borrmann effect in a parametric X-radiation
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Blazhevich, S. V., Noskov, A. V., Blazhevich, S. V., and Noskov, A. V.
- Abstract
Spectral-angular characteristics of coherent X-ray radiation of relativistic electrons in a crystal are formulated in the framework of the dynamic theory of X-rays diffraction. Numerical calculations of the radiation angle density are carried out for silicon and germanium single crystal to define the optimal experimental conditions of the anomalously low photoabsorption (Borrmann effect) observation in the parametric X-radiation (PXR) with Bragg geometry, Belgorod State University
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