公开(公告)号：US20050023477A1

公开(公告)日：2005-02-03

申请号：US10874127

申请日：2004-06-21

申请人： Daniel Archer ,  Brock Beauchamp ,  G. Joseph Mauger ,  Karl Nelson ,  Michael Mercer ,  David Pletcher ,  Vincent Riot ,  James Schek ,  David Knapp

发明人： Daniel Archer ,  Brock Beauchamp ,  G. Joseph Mauger ,  Karl Nelson ,  Michael Mercer ,  David Pletcher ,  Vincent Riot ,  James Schek ,  David Knapp

IPC分类号： G01J1/00 ,  G01T1/24 ,  G01T7/00 ,  G01V5/00

CPC分类号： G01V5/0075 ,  G01T7/00 ,  G01V5/0083

摘要： A portable radioactive-material detection system capable of detecting radioactive sources moving at high speeds. The system has at least one radiation detector capable of detecting gamma-radiation and coupled to an MCA capable of collecting spectral data in very small time bins of less than about 150 msec. A computer processor is connected to the MCA for determining from the spectral data if a triggering event has occurred. Spectral data is stored on a data storage device, and a power source supplies power to the detection system. Various configurations of the detection system may be adaptably arranged for various radiation detection scenarios. In a preferred embodiment, the computer processor operates as a server which receives spectral data from other networked detection systems, and communicates the collected data to a central data reporting system.

摘要翻译： 一种便携式放射性物质检测系统，能够检测高速运动的放射源。 该系统具有至少一个能够检测伽马辐射并耦合到能够在小于约150毫秒的非常小的时间段中收集光谱数据的MCA的辐射检测器。 计算机处理器连接到MCA，用于根据光谱数据确定是否发生触发事件。 光谱数据存储在数据存储设备上，电源向检测系统供电。 检测系统的各种配置可以适用于各种辐射检测场景。 在优选实施例中，计算机处理器作为从其他联网检测系统接收频谱数据并将收集的数据传送到中央数据报告系统的服务器。

公开(公告)号：US20070018090A1

公开(公告)日：2007-01-25

申请号：US11205921

申请日：2005-08-15

申请人： Karl Nelson ,  John Valentine ,  Brock Beauchamp

发明人： Karl Nelson ,  John Valentine ,  Brock Beauchamp

IPC分类号： G01D18/00

CPC分类号： G01T1/04

摘要： A method and system using the Sequential Probability Ratio Test to enhance the detection of an elevated level of radiation, by determining whether a set of observations are consistent with a specified model within a given bounds of statistical significance. In particular, the SPRT is used in the present invention to maximize the range of detection, by providing processing mechanisms for estimating the dynamic background radiation, adjusting the models to reflect the amount of background knowledge at the current point in time, analyzing the current sample using the models to determine statistical significance, and determining when the sample has returned to the expected background conditions.