Simulation study on high energy electron and gamma-ray detection with CALET
High energy electron detection is very important to understand the cosmic ray origin, acceleration, and propagation. Until now only several electrons above 1 TeV have been observed. The CALorimetric Electron Telescope (CALET) will perform a direct measurement of electrons and gamma rays up to 10 TeV. Its advanced design employs both an imaging calorimeter (IMC) and a total absorption calorimeter (TASC). The proton rejection power for electrons is nearly 10(6) with the absorber thickness 36 r.l. By using the shower difference in development between electrons and hadrons, it is enough to observe electron up to 10 TeV with high precision. In this work, we present the Monte Carlo simulation results on high energy electron and gamma-ray detection with CALET.
Abstract In this paper, identification of the joint probability dentisity function (PDF) from missing data is considered. The model of PDF is Gaussian mixture. It is well known that the expectation-maximization (EM) algorithm is useful for the identification of Gaussian mixture. Here it is extended to the case of missing elements of the observations. It will be shown that, after identifying the PDF model, it is easy to estimate the missing elements as well as the system output variable.