在本文中,我們嘗試估計脈衝星探測伽馬射線資源管理器(GRX).GRX是一種軟伽瑪射線望遠鏡,預計於2020年執行衛星任務,有3次成功升空氣球在過去的十年。GRX具有良好的空間和能量分辨率,可以做的很好康普頓事件的重建,幫助我們探索軟伽瑪射線天體物理目標. 對於數據分析,GRX使用最大期望最大化(MLEM)算法來提高成像性能。我們的結論是GRX具有12.7個標準差在(L,B)=(0135)為5分鐘的曝光和大於10個標準差在(L,B)=(0,180),對於百萬電子伏特範圍蟹星雲<1分鐘。我們還對Vela脈衝星具有7.9個標準差在(L,B)=(0,180)在1天的觀察,和對於0.005蟹狀星雲通量在(L, B)=(0,180)位置有8.7個標準差,在2天的觀察。該結果比GRX的原型於2009年氣球飛行更好的在6個標準差6小時暴露。
In this thesis, we try to estimate the pulsar detection of Gamma Ray Explorer (GRX). GRX is a soft gamma-ray telescope, which is expected on satellite mission in 2020, with 3 times successful balloon launch in past decade. GRX has good spatial and energy resolution, which can do well Compton event reconstruction, to help us explore soft gamma-ray astrophysics objects. For data analysis, GRX use Maximum Likelihood Expectation Maximization (MLEM) algorithm to improve imaging property. We conclude that GRX has 12.7 sigma detection at (l,b)=(0,135) with a 5 minute exposure and > 10 sigma detection at (l,b)=(0,180) with 1 < minute for Crab nebula in MeV range. We also present Vela pulsar has 7.9 sigma detection at (l,b)=(0,180) in 1-day observation, and 8.7 sigma detection for 0.005 Crab flux at (l,b)=(0,180) in a 2-day observation. The results are much better than prototype balloon flight of GRX in 2009 with 6 sigma detection in 6 hours exposure time.