PATENT CLAIM ANALYSIS

Application Number: 15953105
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-09
Patent Classification: ["250", "370070"]

Abstract:
Techniques are disclosed for systems and methods to detect radiation accurately, and particularly in a highly radioactive environment. A system includes a detector module for a radiation detector and a parallel signal analyzer configured to receive radiation detection event signals from the detector module and provide a spectroscopy output and a dose rate output. The parallel signal analyzer may be configured to analyze the radiation detection event signals in parallel in first and second analysis channels according to respective first and second measurement times and determine the spectroscopy output and the dose rate output based on radiation detection event energies determined according to the respective first and second measurement times.

Claim (Index 9):
The system of  claim 1 , further comprising a logic device, a memory, and a display, wherein the logic device is configured to:\n compare the spectroscopy output to an identification library stored in the memory to identify a source of the incident ionizing radiation; perform energy windowing on the spectroscopy output to filter selected energies and/or spectrums out of the spectroscopy output; and display the identified source and/or at least a portion of the spectroscopy output and/or the dose rate output using the display.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 2.03571
- Patent Class: 250.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12672758', '15164775', '11664046', '11664121', '15541250']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7015519902506503
- 35 USC 102 Novelty (BERT): 0.480632713803834
- Combined Prediction Score: 0.6794600626059686
- Mean Citation Score: 188.623024
- Max Citation Score: 200.51234
- Similarity Product: 146.64889576084136

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

Dataset: test