ParticleSim

This software uses Geant4 simulation toolkit for computing detector efficiency in terms of peak efficiency and gross efficiency. It is designed mainly for gamma detectors (NaI or HpGe) but can be extended for beta or any other radiation type. Radiation source can be frontal beam, point source, Sarpagan baker (cylinder) and Marinelli baker. Due to the nature of Monte Carlo simulation technique, all geometries involved must be well known for accurate results! Can be used along with RadiationHelper (Beta_Gamma_MC module with Geant4 checkbox selected) but make sure that inside RadiationHelper folder there is MonteCarloPath.txt file having the first line pointing to the path of detector.exe folder (e.g. D:\\DetectorCalibration\\Build) and, if on Linux, next lines pointing to the Geant4 data. RadiationHelper is found here: https://sourceforge.net/projects/radiationhelper/ Source code included. Also, available on GitHub: https://github.com/ZiliasTheSaint/DetectorCalibration.git

The projects contains detectors drivers & plugins based on EPICS areaDetector module, in addition to the documentation. Currently It consists of the following: 1- areaDetector module base without any devices (Layer 2, which is linked separately as needed), it is distributed under EPICS open license, the module owner is Mark Rivers and it's home page is: http://cars9.uchicago.edu/software/epics/areaDetector.html 2- The following detectors device drivers which was developed at the Australian Synchrotron (www.synchrotron.org.au) by Ahed Aladwan a. Argus-Pan Detector (DM-20-08K10) b. Hamamatsu X-Ray Flat Panel Sensor (C9252DK-14) c. Scint-X (DXI-1100)

DEXA is dedicated to providing post-experiment signal processing of DiffXAS signals. By combining ab initio theory with measured spectra, structural strain parameters may be extracted from the differential signals at an intrinsic, atomic scale.

Experimental technique based on the measurement of first-order reversal curves (FORCs) is typically used to evidence the intensity of interactions between the switching physical entities in ferromagnetic samples. It is important to mention that the distribution of coercivity can also be identified from a FORC diagram. dFORC application represents a tool to compute the FORC distribution from the specific experimental data.