A comparison between a neural network and the likelihood method to evaluate the performance of a transition radiation detector
暂无分享，去创建一个
[1] Richard O. Duda,et al. Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.
[2] T. Prince,et al. The efficient identification of relativistic particles by transition radiation , 1974 .
[3] W. Willis,et al. Transition radiators for electron identification at the CERN ISR , 1977 .
[4] W. Willis,et al. Practical prototype of a cluster-counting transition radiation detector , 1981 .
[5] M. Holder,et al. Electron identification beyond 1 GeV by means of transition radiation , 1983 .
[6] K. Tang. The energy spectrum of electrons and cosmic-ray confinement A new measurement and its interpretation , 1984 .
[7] Large-area transition radiation detectors for electron identification in the UA6 experiment at the CERN pp̈ collider , 1986 .
[8] R. Appuhn,et al. Transition radiation detectors for electron identification beyond 1 GeV/ c , 1988 .
[9] Yoh-Han Pao,et al. Adaptive pattern recognition and neural networks , 1989 .
[10] F. Cafagna,et al. Transition radiation detectors for underground and space laboratories , 1991 .
[11] J. Grunsfeld,et al. Energy spectra and composition of primary cosmic rays , 1991 .
[12] F. Cafagna,et al. A high rejection transition radiation detector prototype to distinguish positrons from protons in a cosmic ray space laboratory , 1992 .
[13] B. Dolgoshein. Transition radiation detectors , 1993 .