5,270 research outputs found
Two-Photon-Exchange Effects and Deformation
The two-photon-exchange (TPE) contribution in with
and small is calculated and its corrections to the ratios
of electromagnetic transition form factors and ,
are analysed. A simple hadronic model is used to estimate the TPE amplitude.
Two phenomenological models, MAID2007 and SAID, are used to approximate the
full cross sections which contain both the TPE and the
one-photon-exchange (OPE) contributions. The genuine the OPE amplitude is then
extracted from an integral equation by iteration. We find that the TPE
contribution is not sensitive to whether MAID or SAID is used as input in the
region with GeV.
It gives small correction to while for , the correction is
about -10\% at small and about at large for
GeV. The large correction from TPE at small must
be included in the analysis to get a reliable extraction of .Comment: Talk given at Conference:C16-07-2
Contribution of Two-Boson-Exchange with Excitation to Parity-Violating Elastic Electron-Proton Scattering
We study the leading electroweak corrections in the precision measurement of
the strange form factors. Specifically, we calculate the two-boson-exchange
(TBE), two-photon-exchange (TPE) plus -exchange (E),
corrections with excitation to the parity-violating asymmetry of
the elastic electron-proton scattering. The interplay between nucleon and
contributions is found to depend strongly on the kinematics, as
begins as negligible at backward angles but becomes very large
and negative and dominant at forward angles, while always stays
positive and decreases monotonically with increasing . The total TBE
corrections to the extracted values of in recent
experiments of HAPPEX and G0 are, depending on kinematics, found to be large
and range between 13% to -75% but small in the case of A4 experiments.Comment: 5 pages, the result is correcte
A target guided subband filter for acoustic event detection in noisy environments using wavelet packets
This paper deals with acoustic event detection (AED), such as screams, gunshots, and explosions, in noisy environments. The main aim is to improve the detection performance under adverse conditions with a very low signal-to-noise ratio (SNR). A novel filtering method combined with an energy detector is presented. The wavelet packet transform (WPT) is first used for time-frequency representation of the acoustic signals. The proposed filter in the wavelet packet domain then uses a priori knowledge of the target event and an estimate of noise features to selectively suppress the background noise. It is in fact a content-aware band-pass filter which can automatically pass the frequency bands that are more significant in the target than in the noise. Theoretical analysis shows that the proposed filtering method is capable of enhancing the target content while suppressing the background noise for signals with a low SNR. A condition to increase the probability of correct detection is also obtained. Experiments have been carried out on a large dataset of acoustic events that are contaminated by different types of environmental noise and white noise with varying SNRs. Results show that the proposed method is more robust and better adapted to noise than ordinary energy detectors, and it can work even with an SNR as low as -15 dB. A practical system for real time processing and multi-target detection is also proposed in this work
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