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Eigenvector Metal Etch Data Parser

Authors: Jaganadh Gopinadhan;

Eigenvector Metal Etch Data Parser

Abstract

The Eigenvector Etch Data Parse is developed to read Matlab data files. The parse reads each file and converts the calibration data (sensor data) and test data (sensor data) into a single DataFrame. The parse introduced an additional field in the data 'fault_name', which helps the user identify the normal/calibration wafers and test wafers(with defects). We tested the parser in Python3 environments only; if you are looking for Python2 compatibility, please test and create a bug/pull request as applicable. The source code is released under Apache 2.0 license and is available at https://github.com/jaganadhg/egvsemicon.

Keywords

Microfabrication, Semiconductor, Micro-fabrication, Data Science, Data Mining, Micro Nano Fabrication, Wafer Etching

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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