PATENT CLAIM ANALYSIS

Application Number: 16307372
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-07
Patent Classification: ["355", "052000"]

Abstract:
A projection system model is configured to predict optical aberrations of a projection system based upon a set of projection system characteristics and to determine and output a set of optical element adjustments based upon a merit function. The merit function comprises a set of parameters and corresponding weights. The method comprises receiving an initial merit function and executing an optimization algorithm to determine a second merit function. The optimization algorithm scores different merit functions based upon projection system characteristics of a projection system adjusted according to the output of the projection system model using a merit function having that set of parameters and weights.

Claim (Index 13):
A computer implemented method for modeling a projection system with a projection system model, the projection system model being configured to predict optical aberrations of a projection system based upon a set of projection system characteristics and to determine and output a set of optical element adjustments based upon a merit function, the merit function comprising a set of parameters and corresponding weights, the method comprising:\n receiving an initial merit function comprising an initial set of parameters and weights; executing an optimization algorithm starting from the initial set of parameters and weights to determine a second merit function comprising a second set of parameters and weights, the optimization algorithm scoring different sets of parameters and weights based upon projection system characteristics of a projection system adjusted according to the output of the projection system model using a merit function having that set of parameters and weights; and adjusting the projection system using the optical element adjustments output by the projection system model when executed using the second merit function.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 98.0
- Lexical Diversity: 2.36957
- Patent Class: 355.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['12213150', '10886051', '11000507', '11642984', '12000189']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.70948817993482
- 35 USC 102 Novelty (BERT): 0.4803839708145465
- Combined Prediction Score: 0.6865777590227927
- Mean Citation Score: 237.423744
- Max Citation Score: 252.7125
- Similarity Product: 196.0825073428452

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