Data and scripts for RDF recognition of nanoparticles architecture

Each Jupiter notebook is presented in two formats: interactive with extension `ipynb` and static, with extension `html`. Files included: 1.

XAFS folder contanins X-ray absorption spectra (*.norm files) and extracted from them EXAFS oscillation functions (*.chi files) for the samples. Also added examples Larch script (*.lar) for fitting of the EXAFS data for sample PtCu_stage2 and example Bash script (*.sh) to produce a set of feff dat files. 1. `produce_rdfs.py` -- Python script to construct nanoparticle models and calculate RDFs for them. Requires ASE [wiki.fysik.dtu.dk/ase/ase] and bimetall [github.com/lavakyan/ase-bimetall] libraries. 1. `bimetall.tgz` -- bimetall library, requred for running of `produce_rdfs.py` script. 1. `rdfs.tgz` -- archive containing the RDFs obtained after run of `produce_rdfs.py` script. 1. `postproc_RDFs.ipynb` -- Jupyter notebook for loading, scaling and production of `*.pkl` data files. 1. `analyze_R1.ipynb` -- Jupyter notebook for analyzis of metal-metal interatomic distances.