DarpanX is a Python-3 package that provides functionality to compute reflectivity and other specular optical functions of multilayer/single-layer mirror for different energy and angles as well as to fit the XRR measurements of the mirrors. An API is provided for this and it is also implemented as a local model in PyXspec for fitting the experimental XRR measurements.

For more information regarding the DarpanX see:

• Mondal, Biswajit et al. 2021, Astronomy and Computing.

Following python modules are required for the installation of darpanx :

 setuptools
 numpy
 scipy
 multiprocessing
 matplotlib
 tabulate

For the experimental data fitting, PyXSPEC (python version of XSPEC) is required.

The DarpanX package can be downloaded from the Github link- https://github.com/biswajitmb/DarpanX.git

After downloading it, go to the DarpanX directory:

cd DarpanX

To install DarpanX package system-wide:

sudo python3.x setup.py install

Open a python3.x shell like ipython

import darpanx as drp
import numpy as np

To create a multilayer object

m=drp.Multilayer(MultilayerType="SingleLayer",SubstrateMaterial="SiO2",LayerMaterial=["Pt"],Period=80)

Define the angle and energy values for which the optical functions are to be computed:

Energy=[8.0] # Incident beam energy in KeV
Theta=np.arange(start=0,stop=5,step=0.01) #Define Grazing angles in degree.

Compute reflectivity

m.get_optical_func(Theta=Theta,Energy=Energy,AllOpticalFun ="yes")

Plot outputs:

m.plot(ylog="no", Comp=["Ra","Ta","Aa"], AllComp="oplot", Scale="yes")

All available functionality with examples are described in the DarpanX_UserManual.pdf

Use of DarpanX should be acknowledged by referencing the paper: Mondal, B. et al. 2021, Astronomy and Computing.