PATENT CLAIM ANALYSIS

Application Number: 16132520
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-03
Patent Classification: ["355", "053000"]

Abstract:
A method for determining one or more optimized values of an operational parameter of a sensor system configured to measure a property of a substrate is disclosed. The method includes: determining a quality parameter for a plurality of substrates; determining measurement parameter values for the plurality of substrates using the sensor system for a plurality of values of the operational parameter; comparing a substrate to substrate variation of the quality parameter and a substrate to substrate variation of a mapping of the measurement parameter values; and determining the one or more optimized values of the operational parameter based on the comparing.

Claim (Index 20):
A method of optimizing measurement data from a sensor system configured for measuring a property of a substrate, the method comprising:\n obtaining overlay data for a plurality of substrates, wherein the overlay represents a deviation between a measured and an expected position of an alignment mark on a substrate and comprises a plurality of measurements of the alignment mark position made by a sensor system, each of the plurality of measurements utilizing a different value of an operational parameter of the sensor system; and based on the obtained overlay data, and for each of the different operational parameter values, determining a weight for adjusting the measurements obtained utilizing the respective operational parameter value such that the weighted adjustments to the measurements made by the sensor system for all of the different operational parameter values are combined to reduce or minimize the overlay.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 97.0
- Lexical Diversity: 2.675
- Patent Class: 355.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15737990', '10990335', '14403577', '13667199', '14948001']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.65372303723263
- 35 USC 102 Novelty (BERT): 0.4787333366309073
- Combined Prediction Score: 0.6362240671724578
- Mean Citation Score: 208.73396
- Max Citation Score: 239.7331
- Similarity Product: 197.720390122503

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

Dataset: test