Spin noise spectroscopy of an alignment-based atomic magnetometer

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Publication date
2024-07-05
Creators
Elson, Lucy
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Description
Data taken to verify the spin noise spectroscopy of an alignment based magnetometer. 1microWatt of light was used at a Larmor Frequency of ~9.5kHz. Each data file consists of one hundred one-second samples. For the polarisation angle being varied the white noise voltage applies was set to 140mVrms. The polarisation angle was varied from -20degrees to 120 degrees. When varying the white noise amplitude the polarisation angle was set to 25 degrees. The white noise amplitude was varied from 7mVrms to 3500mVrms. The values of the varied parameter can be found in the python script for each data set.
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DOI
Subjects
  • Quantum optics
  • Electronic measurements
  • Magnetometers
  • Optically pumped magnetometer, Spin noise spectroscopy, Quantum Optics, Fluctuations and noise, Optical pumping, light-matter interactions
  • Physical sciences::Physics::Optical physics, Laser physics
  • Q Science::QC Physics::QC350 Optics. Light, including spectroscopy
Divisions
  • Other
  • University of Nottingham, UK Campus::Faculty of Science::School of Physics and Astronomy
Research institutes and centres
  • University of Nottingham, UK Campus
Deposit date
2024-07-05
Corporate creators
  • University of Warsaw
Data type
Text files of experimental data, python script to produce the power spectral density
Contributors
  • Koźbiał, Marcin
  • Kołodyński, Jan
  • Rushton, Lucas
  • Meraki, Adil
  • Jensen, Kasper
  • Akbar, Ali
Funders
  • Engineering & Physical Sciences Research Council
  • The European Union’s Horizon 2020 research and innovation programme
  • Novo Nordisk Foundation
Grant number
  • EP/T027126/1
  • NNF20OC006418
  • EP/T001046/1
  • 731473
  • EP/Y005260/1
Collection dates
  • April 2024
  • April 2023
Data collection method
Data was collected by connecting the Thorlabs balanced photodetector output directly into the data acquisition card (Spectrum Instrumentation M2p.5932-x4). One hundred one second samples were collected for each data set with a sample rate of 300kHz. The data sets are then Fourier transformed to obtain the power spectral densities.
Resource languages
  • en
Publisher
The University of Nottingham
CC-BY
Except where otherwise noted, this item's license is described as Creative Commons by Attribution