Changes between Version 8 and Version 9 of LongVersion

Timestamp:

Nov 3, 2010, 3:47:05 AM (10 years ago)

Author:

kyoung

Comment:

--

LongVersion

@@ -11 +11 @@
 The original MatPulse package, written by Professor Gerald Matson, encapsulated a large body of knowledge regarding RF pulse design and allowed users with relatively little experience to explore and utilize that knowledge in a straightforward manner that resulted in rapid development of useful RF pulses. 
 
-Similarly the gamma NMR simulation library written by Dr. Scott Smith allowed users with with limited knowledge of the underlying quantum mechanical details to write C++ programs that explored the effects of various pulse and pulse sequence designs using full quantum mechanical density matrix calculations. The GAVA/Gamma package was an attempt to further simplify access to NMR simulations by providing a graphical interface to a subset of the gamma library thus freeing users with no knowledge or interest in C++ programming to explore the effects of pulse and pulse sequence designs. 
+Similarly the gamma NMR simulation library written by Dr. Scott Smith allowed users with with limited knowledge of the underlying quantum mechanical details to write C++ programs that explored the effects of various pulse and pulse sequence designs using full quantum mechanical density matrix calculations. The GAVA/Gamma package, originally written by the the lead researchers on this project and their colleagues, was an attempt to further simplify access to NMR simulations by providing a graphical interface to a subset of the gamma library thus freeing users with no knowledge or interest in C++ programming to explore the effects of pulse and pulse sequence designs. 
 
 The Simulation component of VeSPA simplifies integration even further by using the SWIG package to provide a python interface to gamma - referred to as pygamma. Simulation also provides a graphical interface with powerful plotting and analysis functionality that is built on top of pygamma. But pygamma can be be used independently to produce powerful NMR simulations in python with the majority of the calculations performed in underlying fast C++ code.