Dataset: Inertial effects in discrete sampling information engines

<p>This record includes the data used for article "Inertial effects in discrete sampling information engines", published in Europhysics Letter (doi: 10.1209/0295-5075/ad8bf0). The preprint is included is this record as "Inertial information engines.pdf"</p> <h3>Long 𝜏 limit (Figs. 4 and 5)</h3> <p>The matlab script LongTauAnalyse.m convert raw time acquisitions of the cantilever deflection for various demon protocols from the data files in zip folders LongTauDataPosh.zip and LongTauDataNegh.zip to create files LongTauDataPosh.mat and LongTauDataNegh.mat. In these two files, for each protocol (set of parameters L and h), 12400 independent readings of the cantilever position, of the initial and final well position, and of the work performed by the demon are recorded. They are used to plot the work distribution for each parameter set (Fig. 4), and the mean value of the work (Fig. 5). The matlab script readbindata.m is a dependency of the main script LongTauAnalyse.m.</p> <h3>Data files</h3> <p>The archive Data.zip contains the data used to plot the figures. These are pre analysed data. From raw data, all the switching events are detected and for each events different quantities are computed and stored using Python in a dictionnary of numpy arrays. Each file can be loaded as a dictionnary containing several fields:&nbsp;<br>w : work exchanged during a switch of the potential, computed using Stratonovich convention<br>w_el : work computed as a difference of potential energy<br>q : heat exchanged<br>trap_position : value of L during the experiment<br>hysteresis : value of h during the experiment<br>duration :&nbsp; time to the previous switch event<br>tau_wait : value of 𝜏&nbsp;</p> <h3>Python files</h3> <p>The archive python.zip contains all the python code used to plot the figures from the pre analysed data.<br>figures_large_tau : figure 4 and 5<br>figures_variation_tau : figure 6<br>figures_pdf_tau_inter : figure 7<br>figures_pdf_short_tau : figure 8<br>figures_comparaison_maps : figure 9<br>figures_info_large_tau : figure 11</p> <p>plot_style_full is the matplotlib configuration file and traitement_stat.py is a dependency of the other python scripts.<br><br><br></p>