PATENT CLAIM ANALYSIS

Application Number: 16024833
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-11
Patent Classification: ["250", "269300"]

Abstract:
The invention is a gamma ray detector that locates a source, both horizontally and vertically. The detector comprises a tubular shield surrounded by scintillator panels. Gammas incident from one side can fully strike the scintillator facing the source, but are blocked from reaching the scintillators on the opposite side of the shield. The scintillator counting rates thus indicate the lateral direction of the source. By iteratively rotating toward the highest-counting scintillator, the detector converges to the source. An additional, central detector can be mounted within the tubular shield. When analyzed with the outer scintillators, the central detector determines the overall angular separation between the source and the detector axis, thereby locating the source in two dimensions automatically. The invention enables rapid detection and precise localization of clandestine nuclear and radiological weapons, despite shielding and clutter obfuscation, while quickly passing clean loads.

Claim (Index 12):
The device of  claim 11 , wherein the ratio equals the highest scintillator counting rate plus one-half the second-highest scintillator counting rate, all divided by the central detector counting rate.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 94.0
- Lexical Diversity: 1.67021
- Patent Class: 250.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15974371', '15595467', '15477083', '12846989', '15688109']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7105987272059044
- 35 USC 102 Novelty (BERT): 0.5411884394588009
- Combined Prediction Score: 0.6936576984311941
- Mean Citation Score: 275.61797
- Max Citation Score: 376.57147
- Similarity Product: 295.5990745272815

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test