Particle identification by electron cluster detection of transition radiation photons
نویسندگان
چکیده
منابع مشابه
extremal region detection guided by maxima of gradient magnitude
a problem of computer vision applications is to detect regions of interest under dif- ferent imaging conditions. the state-of-the-art maximally stable extremal regions (mser) detects affine covariant regions by applying all possible thresholds on the input image, and through three main steps including: 1) making a component tree of extremal regions’ evolution (enumeration), 2) obtaining region ...
Investigation of the operation of Thick Gas Electron Multiplier and Electron Multiplier Assembly for alpha particle detection
In this study, the detection of alpha particles in the high current mode is investigated in the presence of two gaseous electron multipliers in the micro-pattern structures. Thick Gas Electron Multiplier (TGEM) and an Electron Multiplier Assemblies (EMA) were designed and constructed as amplification gap in the detector chamber. An ion chamber is employed to measure the current of interaction b...
متن کاملSupervised algorithms for particle classification by a transition radiation detector
Support Vector Machines (SVM) provide an interesting computational paradigm for the classification of data from high energy physics and particle astrophysics experiments. In this study the classification power of support vector machines is compared with those from standard supervised algorithms, i.e. likelihood ratio (LR) and artificial neural networks (ANN), using test beam data from the trans...
متن کاملDetection of single photons by rod photoreceptors
Amphibian and mammalian rods can both detect single photons of light even though they differ greatly in physical dimensions, mammalian rods being much smaller in diameter than amphibian rods. To understand the changes in physiology and biochemistry required by such large differences in outer segment geometry, we developed a computational approach, taking into account the spatial organization of...
متن کاملDriver Drowsiness Detection by Identification of Yawning and Eye Closure
Today most accidents are caused by drivers’ fatigue, drowsiness and losing attention on the road ahead. In this paper, a system is introduced, using RGB-D cameras to automatically identify drowsiness and give warning. In this system two important modules have been utilized simultaneously to identify the state of driver’s mouth and eyes for detecting drowsiness. At first, using the depth informa...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Nuclear Instruments and Methods
سال: 1981
ISSN: 0029-554X
DOI: 10.1016/0029-554x(81)90081-1