Data Associated with the paper "Bell correlations between light and vibration"

<p>Data Associated with the <a href="http://doi.org/10.1126/sciadv.abb0260">following paper</a></p> <blockquote> <p>S. Tarrago Velez, V. Sudhir, N. Sangouard, C. Galland, Bell correlations between light and vibration at ambient conditions. Sci. Adv. 6, eabb0260 (2020).</p> </blockquote> <p>A thorough explanation of the experiment performed is available there.</p> <p>&nbsp;</p> <p>The file <strong>RawData_DelaySweep.zip</strong> contains the raw count information as obtained during the experiment. It is organized in different folders, each containing the data associated with one particular position of the delay stage. The file naming convention has the position, followed by the angles in detection (thA corresponds to the Stokes detection arm and thB corresponds to the anti-Stokes detection arm), and the acquisition time. As explained in the Supplementary Information Sec. 2.1, there are multiple measurements for each combination of delay and detection settings. The zip file also contains the file AnalysisBellv3.py, which was used to analyze the data. Running the file produces &#39;resultsBell.txt&#39; and &#39;results_g2.txt&#39;, which contain the results for the CHSH parameter and the second order cross correlation, respectively.</p> <p>&nbsp;</p> <p>The file <strong>RawData_Visibility.zip</strong> contains the raw count information obtained for the visibility curves, as expained in the Supplementary Information Sec. 2.1. The files follow the same naming convention as those in&nbsp;RawData_DelaySweep.zip. It also contains the file AnalysisCounts.py, which analyzes the data to obtain the correlation parameters.</p> <p>&nbsp;</p> <p>The file <strong>BellCorrelations_CompiledData.xlsx</strong> is a spreadsheet containing the results of the analysis of the previous two sets of data.</p>