Team members (alphabetical by first name): Brandon Kern, Elizabeth Rasmussen, Jon Onorato, Parker Steichen
This project identifies components in a Raman spectra. Advantages to using this method are:
The project can be thought of as broken down into 3 steps:
These sections have their own wiki documents and filled juypter notebooks with more detail included throught, see those for more detail on the individual steps.
A user will be able to follow the steps to apply Raman-Noodles to YOUR Formic Acid data set. An example of using the software can be seen in the Example Use Case Wiki Page
In order to have manageable code we are using Travis' Open Source continuious itegration testing. One thing to note is that on March 1, 2018 Travis-CI switched their model for open source software, the press release about this can be read here
So we do have our team repo viewable on travis-ci.com BUT it will ultimately re-direct you to the old platform for open source software on travis-ci.org
.
There is a way to merge the travis-ci.org
(open source repos only) to travis-ci.com
(now private repos and (closed beta) open source repos) as can be seen by following this link but at this time our team has decided to not join the closed beta as the current (old) method of the dashboard being located on travis-ci.org
works just fine.
The team will continue working on this project in Spring of 2019 as apart of DIRECT program. Future tasks include:
In conclusion, our team successfully created a fast functioning open source code base that saves hours of research time in data cleaning and analysis of Raman Spectra. We have also set a strong base for the next step of our focus which is on calculating decomposition of substances using Lorentzian peak information that will be applied to machine learning optimum temperatures and pressures in a gasification reactor system.
This software has passed tests to sucessfully identify and analyze the identification of components in mixture Raman data.
This work sets up a free and user friendly platform for researchers to be able to analyze their own Raman Spectra.