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 2):
The method of  claim 1  further comprising:\n providing a DC power supply to power a system performing an analysis of the material; and \n a Poisson neutron source comprising the electric source for generating the interrogation beam, the Poisson neutron source configured to impose no electrical ripple to distort correlation of generated neutrons and to eliminate any problematic effect of electrical ripple on the DC power supply.

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): 0.7416224455761452
- 35 USC 102 Novelty (BERT): 0.5995713512329051
- Combined Prediction Score: 0.7274173361418211
- Mean Citation Score: 515.846442
- Max Citation Score: 553.0666
- Similarity Product: 471.70277189790016

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