Research Data for "Nitrogen-Vacancy Color Centers in Nanodiamonds as Reference Single-Photon Emitters"
Acronyms:
National Physical Laboratory (NPL)
University of Manchester (UoM)
Nitrogen Vacancy (NV)
Hanbury Brown and Twiss (HBT)
root mean square error (RMSE)
This dataset is used in the research "Nitrogen-Vacancy Color Centers in Nanodiamonds as Reference Single-Photon Emitters". The data included here is for the initial search for candidates run at NPL, then remeasurements carried out at UoM to verify the method. The intensity maps are included for the exemplary single-photon emitter nanodiamond #B as denoted in the main text.
h5 datasets organised in to four .h5 files:
- nplht_data.h5: High-throughput fitting parameters for 254 NV centers identified at NPL. Parameters include saturation count rate, Isat, g(2)(0) values and RMSE of the g(2)(t) signal.
- candidates_data.h5: Parameter catalogue for power dependence fittings, g(2)(t) fittings for candidates selected at NPL and remeasured parameters at UoM. The data recorded at NPL is tagged with "[NPL]" at the end of the dataset name. Each measurement has a unique identifier under "/candidates/File_tag", which corresponds to rows in the table of data in the "/candidates/" dataset.
- ps_data.h5: Identical to "candidates_h5", with the addition of coincidence times for generating g(2)(t) signals. This is computed from the raw photon streams form the HBT interferometer setup. The coincidences recorded from NPL are organised according to the manuscript labelling #A to #F. Coincidences recorded at UoM are grouped and entered in to their own dataset under their unique "File tag", due to several remeasurements on the same NV center.
- exemplary_map.h5: Count rate mappings for ND #B at NPL and UoM, used for overlaying the maps shown in figure 1a) in the main text. The X and Y coordinates are stored as attributes for their respective maps.
The "microscope_imagery" folder contains dark and bright-field images which can be used to calculate the areal density of the nanodiamonds.
The "analysis_code" folder contains MATLAB code used for data processing, analysis and displaying figures and graphs. Please simply download this figshare repository and run "analysis_code/publication_figures.m" to regenerate the figures show in the main article.