Spectral Map Generation via Non-Overlapping Energy Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The existing analysis methods for obtaining spectral maps in electron spectrometers, such as Auger electron microscopes, are time-consuming due to the need for repeated stabilization of the electron lens after changing electrode voltage or coil current, requiring significant waiting time at each measurement point.
Innovation Solution
The method involves obtaining n×m pieces of map data by scanning the specimen with a primary probe while varying the measurement energy ranges of the analyzer, generating a spectral map where each position on the specimen is associated with a spectrum, and ensuring that the measurement energy ranges do not overlap, thereby eliminating the need for stabilization waiting time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If point analysis is performed at each measurement point to obtain spectral maps, then measurement precision is improved, but measurement time increases significantly due to waiting periods for stabilization
Solution Approach 1:
The measurement process is segmented into multiple map measurements, each covering a different energy range. By dividing the energy spectrum into non-overlapping ranges and performing separate map measurements for each range, the system avoids the need for repeated stabilization waiting periods while still capturing complete spectral information across the full energy range.
Solution Approach 2:
The system performs preliminary stabilization of the electron lens before the series of map measurements. This preliminary action ensures that the system is stable before data collection begins, eliminating the need for repeated stabilization waiting periods between measurements at different energy ranges.
2Adaptability or versatility
If the electron lens is repeatedly controlled to sweep measurement energy, then energy spectrum coverage is improved, but productivity decreases due to stabilization waiting time at each measurement point
Solution Approach 1:
The energy spectrum coverage is achieved by segmenting the measurement into multiple map measurements, each targeting a specific non-overlapping energy range. This segmentation allows the system to cover the full energy spectrum without requiring repeated lens control and stabilization cycles, thereby maintaining productivity.
Solution Approach 2:
The system maintains continuous useful action by performing multiple map measurements in sequence without interruption for stabilization. Once the electron lens is preliminarily stabilized, the measurements proceed continuously across different energy ranges, maximizing productivity while ensuring complete energy spectrum coverage.
3Loss of information
If measurement energy ranges overlap in multiple map measurements, then spectral data completeness is improved, but measurement time increases due to redundant stabilization periods
Solution Approach 1:
The energy spectrum is segmented into non-overlapping measurement ranges, with each range assigned to a specific map measurement. This segmentation ensures that spectral data completeness is achieved through comprehensive coverage without redundancy, and eliminates the need for repeated stabilization periods that would occur with overlapping energy ranges.
Solution Approach 2:
The measurement parameters are changed between map measurements by adjusting the energy range settings to be non-overlapping. This parameter change strategy ensures complete spectral coverage while minimizing the number of measurements required, thereby reducing total measurement time without sacrificing data completeness.
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
This approach allows for the rapid generation of spectral maps by eliminating the waiting time required for stabilization at each measurement point, reducing overall measurement time and improving efficiency.
Implementation Method 1
analyzer which analyzes energy of electrons emitted from a specimen by irradiating the specimen with a primary probe
Implementation Method 2
detector which includes n detection sections arranged in an energy dispersion direction of the electrons of which the energy has been analyzed by the analyzer
Data Source
AI summary
An analysis method includes: obtaining n×m pieces of map data by repeating, m times, a map measurement in which n pieces of map data are obtained by scanning a specimen with a primary probe to detect electrons emitted from the specimen with an electron spectrometer, while measurement energy ranges of an analyzer are varied; and generating a spectral map in which a position on the specimen is associated with a spectrum based on the n×m pieces of map data, the measurement energy ranges of m times of the map measurement not overlapping each other.