Dataset for Narrowing the parameter space of collapse models with ultracold layered force sensors
Dataset for Narrowing the parameter space of collapse models with ultracold layered force sensors
PSD - Original power spectral densities at different temperatures (in mK). For accounting the spectral leakage due to the FFT resolution, one has to remove the central 6 points. The columns are: frequency (Hz), value of PSD (Phi_0^2/Hz), PSD error (same units) Final data - Excel reporting the results of the PSD fits and that of the linear fit of B for the high temperatures. Final upper bound for the value of S_{F0}
Carlesso, Matteo
2eecbe8d-43f9-4c8b-ac35-ee4abe95efa2
Vinante, Andrea
f023d600-0537-41c4-b307-bf9cdfc1f56c
Carlesso, Matteo
2eecbe8d-43f9-4c8b-ac35-ee4abe95efa2
Vinante, Andrea
f023d600-0537-41c4-b307-bf9cdfc1f56c
(2020)
Dataset for Narrowing the parameter space of collapse models with ultracold layered force sensors.
Zenodo
doi:10.5281/zenodo.3956096
[Dataset]
Abstract
PSD - Original power spectral densities at different temperatures (in mK). For accounting the spectral leakage due to the FFT resolution, one has to remove the central 6 points. The columns are: frequency (Hz), value of PSD (Phi_0^2/Hz), PSD error (same units) Final data - Excel reporting the results of the PSD fits and that of the linear fit of B for the high temperatures. Final upper bound for the value of S_{F0}
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Published date: 22 July 2020
Identifiers
Local EPrints ID: 473249
URI: http://eprints.soton.ac.uk/id/eprint/473249
PURE UUID: 394e789e-47a7-4b1a-8c30-de8727c85fda
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Date deposited: 12 Jan 2023 18:22
Last modified: 17 Nov 2023 18:20
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Contributors
Contributor:
Matteo Carlesso
Contributor:
Andrea Vinante
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