Fityk: a general-purpose peak fitting program

2010 ◽  
Vol 43 (5) ◽  
pp. 1126-1128 ◽  
Author(s):  
Marcin Wojdyr
Keyword(s):  
Experimental Data ◽  
Data Analysis ◽  
Powder Diffraction ◽  
Open Source Software ◽  
Strain Analysis ◽  
General Purpose ◽  
Powder Diffraction Data ◽  
Peak Fitting ◽  
Nonlinear Curve Fitting ◽  
Nonlinear Curve

Fitykis portable, open-source software for nonlinear curve fitting and data analysis. It specializes in fitting a sum of bell-shaped functions to experimental data. In particular, it enables Pawley refinement of powder diffraction data and size–strain analysis.

Nonlinear Curve-Fitting Methods for Time-Resolved Data Analysis

2009 ◽  
pp. 341-369 ◽  
Author(s):  
Ignacy Gryczynski ◽  
Shashank Bharill ◽  
Rafal Luchowski ◽  
Julian Borejdo ◽  
Zygmunt Gryczynski
Keyword(s):  
Data Analysis ◽  
Curve Fitting ◽  
Time Resolved ◽  
Nonlinear Curve Fitting ◽  
Nonlinear Curve

scholarly journals Equatorial aberration of powder diffraction data collected with an Si strip X-ray detector by a continuous-scan integration method

2020 ◽  
Vol 53 (3) ◽  
pp. 679-685
Author(s):  
Takashi Ida
Keyword(s):  
Experimental Data ◽  
Powder Diffraction ◽  
Diffraction Data ◽  
Approximate Formula ◽  
Integration Method ◽  
Powder Diffraction Data ◽  
X Ray ◽  
Powder Diffractometer ◽  
Mathematical Formulas ◽  
Integration Mode

Exact and approximate mathematical formulas of equatorial aberration for powder diffraction data collected with an Si strip X-ray detector in continuous-scan integration mode are presented. An approximate formula is applied to treat the experimental data measured with a commercial powder diffractometer.

Applications of Whole-Powder-Pattern Fitting Technique in Materials Characterization

1993 ◽  
Vol 37 ◽  
pp. 37-47
Author(s):  
Hideo Toraya
Keyword(s):  
Data Analysis ◽  
Powder Diffraction ◽  
Diffraction Data ◽  
Computer Software ◽  
Materials Characterization ◽  
Methodological Aspect ◽  
Powder Pattern ◽  
Powder Diffraction Data ◽  
Best Fit

The development of powder-pattern-fitting techniques greatly changed the methodological aspect of materials characterization using powder diffraction data. Pencil and ruler are going out of use in modern powder data analysis, and present-day materials scientists hit a keyboard and manipulate a mouse of computer for deducing the final parameters of the model, which gives the best fit of calculated pattern to the observed one on a CRT screen. Computer software is now widespread, and the success in materials characterization becomes much dependent on their availability.

scholarly journals FluxPyt: a Python-based free and open-source software for 13C-metabolic flux analyses

PeerJ ◽  
2018 ◽  
Vol 6 ◽  
pp. e4716 ◽  
Author(s):  
Trunil S. Desai ◽  
Shireesh Srivastava
Keyword(s):  
Data Analysis ◽  
Open Source ◽  
Open Source Software ◽  
Metabolic Flux ◽  
Tricarboxylic Acid Cycle ◽  
Strain Analysis ◽  
Monte Carlo Analysis ◽  
Reaction Rates ◽  
Flux Analysis ◽  
Analysis And Design

13C-Metabolic flux analysis (MFA) is a powerful approach to estimate intracellular reaction rates which could be used in strain analysis and design. Processing and analysis of labeling data for calculation of fluxes and associated statistics is an essential part of MFA. However, various software currently available for data analysis employ proprietary platforms and thus limit accessibility. We developed FluxPyt, a Python-based truly open-source software package for conducting stationary 13C-MFA data analysis. The software is based on the efficient elementary metabolite unit framework. The standard deviations in the calculated fluxes are estimated using the Monte-Carlo analysis. FluxPyt also automatically creates flux maps based on a template for visualization of the MFA results. The flux distributions calculated by FluxPyt for two separate models: a small tricarboxylic acid cycle model and a larger Corynebacterium glutamicum model, were found to be in good agreement with those calculated by a previously published software. FluxPyt was tested in Microsoft™ Windows 7 and 10, as well as in Linux Mint 18.2. The availability of a free and open 13C-MFA software that works in various operating systems will enable more researchers to perform 13C-MFA and to further modify and develop the package.

scholarly journals A Debye function based powder diffraction data analysis method

2007 ◽  
Vol 2007 (suppl_26) ◽  
pp. 105-110
Author(s):  
C. Giannini ◽  
A. Cervellino ◽  
A. Guagliardi ◽  
F. Gozzo ◽  
D. Zanchet ◽  
...  
Keyword(s):  
Data Analysis ◽  
Powder Diffraction ◽  
Diffraction Data ◽  
Powder Diffraction Data ◽  
Analysis Method ◽  
Debye Function ◽  
Data Analysis Method
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