

- Singlecrystal software dm3 file generator#
- Singlecrystal software dm3 file update#
- Singlecrystal software dm3 file code#
- Singlecrystal software dm3 file simulator#
Koush, Yury Ashburner, John Prilepin, Evgeny Sladky, Ronald Zeidman, Peter Bibikov, Sergei Scharnowski, Frank Nikonorov, Artem De Ville, Dimitri Van OpenNFT: An open-source Python/ Matlab framework for real-time fMRI neurofeedback training based on activity, connectivity and multivariate pattern analysis. Although Matlab LOCO was written with AT as the underlying tracking code, a mechanism to connect to other modeling codes has been provided.« less
Singlecrystal software dm3 file code#
A number of new features were added while porting the code from FORTRAN and new methods continue to evolve. Since LOCO requires collecting and processing a relative large amount of data, it is very helpful to have the LOCO code compatible with the high level machine control. It's best to use a matrix programming language with good graphics capability Matlab was also being used for high level machine control and the accelerator modeling code AT,, was already developed for Matlab. The decision to port LOCO to Matlab was relatively easy. As the number of people interested in LOCO grew, it required making it easier to use. It required a separate modeling code such as MAD to calculate the model matrix then one manually loads the data into the LOCO code. For instance, the FORTRANmore » code itself did not calculate the model response matrix. This code worked fine but it was somewhat awkward to use. The LOCO code was originally written in FORTRAN. Maintaining high quality beam parameters requires constant attention so a relatively large effort was put into software development for the LOCO application. The light source community in particular has made extensive use of the LOCO algorithms to tightly control the beta function and coupling. Although the uses for LOCO vary, the most common use has been to find calibration errors and correct the optics functions. The LOCO algorithm has been used by many accelerators around the world. Portmann, Greg /LBL, Berkeley Safranek, James To demonstrate its versatility and capabilities the results of inversion for two complex models are presented. The code has been validated on several published models. The use of MATLAB and its libraries makes it more compact and user friendly. The modular structure of the code provides a framework useful for implementation of new applications and inversion algorithms. These modules can be readily extended to other similar inverse problems like Controlled-Source EM (CSEM). The inversion code performs core computations in modular form - forward modeling, data functionals, sensitivity computations and regularization.
Singlecrystal software dm3 file generator#
The grid generator code performs model discretization and acts as an interface by generating various I/O files. The code comprises two independent components: grid generator code and modeling/inversion code. The development of a MATLAB based computer code, AP3DMT, for modeling and inversion of 3D Magnetotelluric (MT) data is presented.

Singh, Arun Dehiya, Rahul Gupta, Pravin K.
Singlecrystal software dm3 file simulator#
Examples of the code documentation for the scripts and functions of a MATLAB-based adaptive optics simulator are provided.Ī MATLAB based 3D modeling and inversion code for MT data A detailed description of the framework components is presented as well as the guidelines for the framework deployment. The documentation generated by this framework contains the current code description with mathematical formulas, images, and bibliographical references.

Singlecrystal software dm3 file update#
Using the Perl script that translates M-files MATLAB comments into C-like, one can use Doxygen to generate and update the documentation for the scientific source code. This paper describes a general cross-platform framework for the documentation of scientific software using open-source tools such as LATEX, mercurial, Doxygen, and Perl. Although most modern programming environments like MATLAB or Octave have in-built documentation abilities, they are often insufficient for the description of a typical adaptive optics simulator code. The problem of adequate documentation of the astronomical software for adaptive optics simulators may complicate the development since the documentation must contain up-to-date schemes and mathematical descriptions implemented in the software code. However, growing software code of the numerical simulator makes it difficult to continue to support the code itself. Numerical simulators for adaptive optics systems have become an essential tool for the research and development of the future advanced astronomical instruments. Open-source framework for documentation of scientific software written on MATLAB-compatible programming languages
