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odnplab's Introduction

http://dnplab.net PyPI - Python Version Downloads

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DNPLab - Bringing the Power of Python to DNP-NMR Spectroscopy

DNPLab is a collaborative project created by:

Authors: Timothy Keller, Thomas Casey, Yanxian Lin, Yen-Chun Huang, Karl Rieger, John Franck, Thorsten Maly, Songi Han

DNPLab is an object-oriented Open Source Python-based package for importing, processing, and analyzing data determined in a Dynamic Nuclear Polarization (DNP) experiment.

Features

  • Import many different NMR data formats (Topspin, VnmrJ, Prospa, ...)
  • Create N-dimensional data objects
  • Easy processing of NMR data (apodization, zero-filling, Fourier transformations, alignment, ...)
  • Analyze data using the specific modules

Installation

DNPLab can be easily installed via pip:

pip install dnplab

Documenation

Find the online documentation at: http://docs.dnplab.net

Developement

odnplab's People

Contributors

thcasey3 avatar ylin00 avatar

Watchers

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odnplab's Issues

reduce precision of parameters

The parameters can not be known to the level of precision, and are not useful, out to more than 2 to 5 decimal places. Coupling factor and standard deviations should be 5 decimal places, all others should be 2. Also, the link to download should be above not below the list of outputs

ksigma appears random at different width

When running this test data using different width, the resulting ksigma appears random.

width 140 ksigma = 46.5
width 180 ksigma = 30.3
width 230 ksigma = 12.5
width 260 ksigma = 38.6
width 310 ksigma = 45.7

Need input field for T1,0(0)

For calculation of anything beyond ksigma there needs to be an option to put in the correct T1,0(0) that is used in calculating krho

re-arrange layout

The page should open with the tools tab already there on the left. The order of components should go most to least important, top to bottom:

  • Get file with Run button directly underneath on top,
  • Then Spin concentration
  • Then radiobuttons to select tethered or free,
  • Then T1,0(0),
  • *(this is as far as most of the users will need to go)
  • Then T1 interpolation method,
  • Then Magnetic field,
  • Finally the slider to adjust integration width (this can be very useful but for consistency sticking with the default is advised so this should be de-emphasized)

Should output T1(0)

This would be the T1 measured from folder 304. Also should include the standard deviation and make sure it is called something like "stdd" for standard deviation so users are aware what type of "error" it is

add a new plot

Once the data is in and calculations are done the top plot should be the width of the page and ksigma points with the fit, underneath two small plots 1) Enhancement points and uncorrected curve, 2) T1 points and interpolation

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