Data from article: "Wide‑field magnetometry using nitrogen‑vacancy color centers with randomly oriented micro‑diamonds"

This repository contains the dataset obtained from the CW-ODMR magnetic imaging experiment with nitrogen-vacancy (NV) centers using a custom-built wide-field setup. Related publication: Sengottuvel, S., Mrózek, M., Sawczak, M. et al. Wide-field magnetometry using nitrogen-vacancy color centers with randomly oriented micro-diamonds. Sci Rep 12, 17997 (2022). https://doi.org/10.1038/s41598-022-22610-5. Authors: Saravanan Sengottuvel, (Institute of Physics, Jagiellonian University in Krakow, Poland) Mariusz Mrózek, (Institute of Physics, Jagiellonian University in Krakow, Poland) Mirosław Sawczak, (Szewalski Institute of Fluid-Flow Machinery, Polish Academy of Sciences, Poland) Maciej J. Głowacki, (Gdańsk University of Technology, Poland) Mateusz Ficek, (Gdańsk University of Technology, Poland) Wojciech Gawlik (Institute of Physics, Jagiellonian University in Krakow, Poland) Adam M. Wojciechowski (Institute of Physics, Jagiellonian University in Krakow, Poland) Abstract: Magnetometry with nitrogen-vacancy (NV) color centers in diamond has gained significant interest among researchers in recent years. Absolute knowledge of the three-dimensional orientation of the magnetic field is necessary for many applications. Conventional magnetometry measurements are usually performed with NV ensembles in a bulk diamond with a thin NV layer or a scanning probe in the form of a diamond tip, which requires a smooth sample surface and proximity of the probing device, often limiting the sensing capabilities. Our approach is to use micro- and nano-diamonds for wide-field detection and mapping of the magnetic field. In this study, we show that NV color centers in randomly oriented submicrometer-sized diamond powder deposited in a thin layer on a planar surface can be used to detect the magnetic field. Our work can be extended to irregular surfaces, which shows a promising path for nanodiamond-based photonic sensors. Funding: The research was carried out within the TEAM NET programme of the Foundation for Polish Science co-financed by the European Union under the European Regional Development Fund, project POIR.04.04.00-00-1644/18. This research was funded in part by National Science Centre, Poland grant number 2020/39/I/ST3/02322. Description of the data: The dataset consists of 24 individual data files labelled chronologically, starting from f0.fits to f24.fits. The data format is Flexible Image Transport System (FITS). Each FITS file consists of a header and 3-dimensional image data. The header contains the experimental parameters set during data acquisition, which may also be helpful for data analysis. The FITS file can be read using any software (e.g., MATLAB, Python) that supports the FITS file format. An example header: {'STARFREQ'} {[ 2700]} {' in MHz '} {'STOPFREQ'} {[ 3000]} {' in MHz '} {'STEPSIZE'} {[ 1.500000000000000]} {' Frequency interval '} {'MWPOWER'} {[ 5]} {' in dBm '} {'NSCANS'} {[ 5]} {' Total number of scan repetitions '} {'EXPOSURE'} {[ 20]} {' in ms '} {'FPS'} {[ 20]} {' no. of frames per second '} {'LEDCURR'} {[ 0.990000000000000]} {' LED current in mA } {'EXPTIME'} {[1.942112698000000e+02]} {' Measurement time in seconds '} {'END' } {0×0 char } {0×0 char } Table: Data file name and the associated current value set in the wire during the magnetic imaging measurement File name Current value (mA) File name Current value (mA) f0.fits 0 f13.fits -300 f1.fits +50 f14.fits -550 f2.fits +100 f15.fits -250 f3.fits -50 f16.fits +550 f4.fits -100 f17.fits +350 f5.fits -150 f18.fits +400 f6.fits +250 f19.fits -400 f7.fits +450 f20.fits -450 f8.fits +600 f21.fits -500 f9.fits -200 f22.fits +150 f10.fits -350 f23.fits +300 f11.fits +200 f24.fits -600 f12.fits +500 For more information on the data analysis methods and results, we recommend you to read the article.