PATENT CLAIM ANALYSIS

Application Number: 15865099
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["376", "159000"]

Abstract:
A neutron detector system for discriminating fissile material from non-fissile material wherein a digital data acquisition unit collects data at high rate, and in real-time processes large volumes of data directly to count neutrons from the unknown source and detecting excess grouped neutrons to identify fission in the unknown source. The system includes a Poisson neutron generator for in-beam interrogation of a possible fissile neutron source and a DC power supply that exhibits electrical ripple on the order of less than one part per million. Certain voltage multiplier circuits, such as Cockroft-Walton voltage multipliers, are used to enhance the effective of series resistor-inductor circuits components to reduce the ripple associated with traditional AC rectified, high voltage DC power supplies.

Claim (Index 4):
The method of  claim 3  further comprising:\n detecting the neutrons emitted from the material in a first detector calibrated to a fast time scale to generate a first set of detected neutrons; \n detecting the neutrons emitted from the material in a second detector calibrated to a slow time scale to generate a second set of detected neutrons; and \n analyzing the first and second sets of detected neutrons to determine the number of times that a group of n simultaneously emitted neutrons is observed from the radiation source after a defined measurement period is repeated a defined number of times to derive a neutron count measurement based on at least one of the fast time scale and slow time scale to infer a likelihood the material is fissile versus non-fissile.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 86.0
- Lexical Diversity: 1.48235
- Patent Class: 376.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15865062', '14213502', '15419916', '14515321', '14298406']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7416718232469598
- 35 USC 102 Novelty (BERT): 0.5994144138289258
- Combined Prediction Score: 0.7274460823051564
- Mean Citation Score: 515.846442
- Max Citation Score: 553.0666
- Similarity Product: 471.0605411785007

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test