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Hard to Soft Pomeron Transition in Small- x Deep Inelastic Scattering Data Using Optimal Renormalization
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Measurement of Muon Neutrino Quasielastic Scattering on a Hydrocarbon Target at E ν ~3.5 GeV
We report a study of ν μ charged-current quasielastic events in the segmented scintillator inner tracker of the MINERvA experiment running in the NuMI neutrino beam at Fermilab. The events were selected by requiring a μ⁻ and low calorimetric recoil energy separated from the interaction vertex. We measure the flux-averaged differential cross section, dσ/dQ², and study the low energy particle content of the final state. Deviations are found between the measured dσ/dQ² and the expectations of a model of independent nucleons in a relativistic Fermi gas. We also observe an excess of energy near the vertex consistent with multiple protons in the final state.
X-Ray Thomson Scattering in Warm Dense Matter without the Chihara Decomposition.
Abstract not provided.
Unified Description of Electron-Nucleus Scattering within the Spectral Function Formalism
Not Available
Real-Time Observation of Phonon-Mediated σ − π Interband Scattering in MgB 2
Not Available
Transport Spectroscopy of Sublattice-Resolved Resonant Scattering in Hydrogen-Doped Bilayer Graphene
Not Available
Observation of light-by-light scattering in ultraperipheral Pb+Pb collisions with the ATLAS detector
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Odderon Exchange from Elastic Scattering Differences between p p and p p ¯ Data at 1.96 TeV and from p p Forward Scattering Measurements
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Phase-contrast imaging of multiply-scattering extended objects at atomic resolution by reconstruction of the scattering matrix
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On the estimation of statistical uncertainties on powder diffraction and small-angle scattering data from two-dimensional X-ray detectors
Optimal methods are explored for obtaining one-dimensional powder pattern intensities from two-dimensional planar detectors with good estimates of their standard deviations. Methods are described to estimate uncertainties when the same image is measured in multiple frames as well as from a single frame. The importance of considering the correlation of diffraction points during the integration and the resampling process of data analysis is shown. It is found that correlations between adjacent pixels in the image can lead to seriously overestimated uncertainties if such correlations are neglected in the integration process. Off-diagonal entries in the variance–covariance (VC) matrix are problematic as virtually all data processing and modeling programs cannot handle the full VC matrix. It is shown that the off-diagonal terms come mainly from the pixel-splitting algorithm used as the default integration algorithm in many popular two-dimensional integration programs, as well as from rebinning and resampling steps later in the processing. When the full VC matrix can be propagated during the data reduction, it is possible to get accurate refined parameters and their uncertainties at the cost of increasing computational complexity. However, as this is not normally possible, the best approximate methods for data processing in order to estimate uncertainties on refined parameters with the greatest accuracy from just the diagonal variance terms in the VC matrix is explored.
Methods for analysis of size-exclusion chromatography-small-angle X-ray scattering and reconstruction of protein scattering
Abstract not provided
Exploiting Polarization Wobble in Sinuous Antennas for the Detection of Linear Scatterers in Ground Penetrating Radar Applications.
Abstract not provided.