PATENT CLAIM ANALYSIS

Application Number: 15966918
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-12
Patent Classification: ["702", "189000"]

Abstract:
The effective spot size of a spectroscopic metrology device is reduced through deconvolution of a measurement spectra set acquired from a measurement target combined with a training spectra set obtained from a training target. The measurement spectra set may be obtained using sparse sampling of a grid scan of a measurement target. The training spectra set is obtained from a grid scan of a training target that is similar to the measurement target. The training spectra set and the measurement spectra set include spectra from different grid nodes. Deconvolution of the measurement spectra and the training spectra sets produces an estimated spectrum for the measurement target that is an estimate of a spectrum from the measurement target produced with incident light having an effective spot size that is smaller than the actual spot size. One or more characteristics of the measurement target may then be determined using the estimated spectrum.

Claim (Index 19):
The spectroscopic metrology device of  claim 17 , wherein the processor is configured to obtain the deconvolution kernel weights for the grid nodes in the grid array by being configured to use at least one a point spread function for an optical system of the spectroscopic metrology device and a calibration spectra set acquired from a scan of the grid array on one or more calibration targets using the spectroscopic metrology device, wherein the calibration spectra set comprises spectra for each grid node in the grid array.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 91.0
- Lexical Diversity: 2.6
- Patent Class: 702.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14505373', '14882370', '14825728', '13767769', '14720644']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1941215938080316
- 35 USC 102 Novelty (BERT): 0.6200596069529178
- Combined Prediction Score: 0.2367153951225202
- Mean Citation Score: 300.996834
- Max Citation Score: 616.165
- Similarity Product: 505.23645500302325

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

Dataset: test