Peak Energy Sequence Fitting for Spectrum Analysis Without Reference Spectra
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Solution Overview
Problem
Existing spectrum analysis techniques struggle when a large number of reference spectra are not available, making it difficult to identify samples accurately, particularly in the soft X-ray region, as current methods rely heavily on pre-acquired data.
Innovation Solution
A spectrum analysis apparatus and method that utilizes a database registering peak energy sequences correlated to emission information, allowing for the generation of calculated spectra based on theory, and fitting these to actual spectra for analysis, even in situations with limited reference data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If reference spectra are used for sample identification, then analysis accuracy is improved, but the method becomes inapplicable when insufficient reference spectra are available
Solution Approach 1:
The patent calculates and stores peak energy sequences based on theoretical emission information before actual spectrum measurement. This preliminary preparation of theoretical reference data enables the system to function even when experimental reference spectra are insufficient, by using pre-computed theoretical peaks for comparison against measured spectra.
Solution Approach 2:
The patent introduces peak energy sequences as an intermediary representation that bridges theoretical emission information and actual spectrum measurement. Instead of directly comparing raw spectra, the system extracts and compares peak energy sequences, which serve as a condensed intermediary feature that enables identification even with limited reference data.
2Adaptability or versatility
If theoretical calculation methods are used for spectrum analysis, then analysis capability is improved when reference spectra are scarce, but the complexity of the analysis system increases
Solution Approach 1:
The patent extracts peak energy sequences from the complex spectral data and theoretical calculations. By isolating and storing only the essential peak energy information in a database, the system reduces the complexity of storing and processing complete spectra, while maintaining the capability for accurate identification through comparison of these extracted key features.
3Adaptability or versatility
If a database of peak energy sequences is created, then the ability to analyze samples without sufficient reference spectra is improved, but the database creation process becomes more complex
Solution Approach 1:
The patent creates a universal database structure that stores peak energy sequences correlated with emission information for multiple elements and compounds. This universal database can be used for analyzing various types of samples across different regions (including soft X-ray region), making the database creation process more straightforward despite the complexity of the underlying theoretical calculations, as the same database structure serves multiple analysis purposes.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate analysis of samples by generating and fitting calculated spectra, effectively identifying elements, compounds, and crystal structures using peak energy sequences, even when comprehensive reference spectra are lacking.
Implementation Method 1
a fitting unit that fits a calculated spectrum which is based on the peak energy sequence with respect to an actual spectrum which is acquired from a sample
Implementation Method 2
A spectrum can be generated by spectrally dispersing a signal emitted from a sample (such as X-rays, photoelectrons, ultraviolet rays, or the like)
Data Source
AI summary
A plurality of records are registered in a database. Each record includes emission information and a peak energy sequence. A fitting unit fits, for each peak energy sequence, a calculated spectrum which is based on the peak energy sequence with respect to an actual spectrum which is acquired from a sample. An analyzer analyzes the sample based on the emission information correlated to the calculated spectrum satisfying a fitting condition.


