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5 results for “backaction”
Data sets, code, figures for Sensing force gradients with cavity optomechanics while evading backaction
<p>The directory contains data sets, code and figures for the published version of the research article Sensing force gradients with cavity optomechanics while evading backaction.</p>
Data and code for figures in "Two-tone optomechanical instability and its fundamental implications for backaction-evading measurements"
<p>Here we prepare the data and process scripts to reconstruct figure 4 of the paper (Two-tone optomechanical instability and its fundamental implications for backaction-evading measurements). The folder contains several subfolders and files:</p> <p>“Raw data”: In this folder, you can find the raw data recorded by measurement devices during the experiment. It follows the hierarchical structure. We have three pairs of folders corresponding to three cooperativities (3.5, 7, 14). One folder of each pair contains raw data files in text format (.dat) and the other one contains plots and a Numpy dictionary of the extracted parameter for each cooperativity (superdict.npy). If you need to redo the extraction process from the raw data you can simply run “181031_CXX_Final_NOQT_BAE_2D_post_processeing.py” (XX: 3.5 or 7 or 14) python code to rewrite superdict.npy files and replot all plots in the Raw data folder.<br> “NRBcodes”: A side package for the circle fit (Lorentzian fitting) in the complex plane.<br> “Dicts”: A folder containing Numpy dictionaries needed for the final plot. “superdictXX.npy” are copies of Numpy dictionaries in the Raw data folder. “powers_XX.npy” and “Ds_nor_XX.npy” are Numpy dictionaries needed for the theory plots. You can reproduce them by the uncommenting first part of the “Final_plot.py” and correcting the corresponding cooperativity.<br> “getdata.py” and “postprocessing_libs.py”: Side packages help to read the raw data files.<br> <br> All post-processes are done on the raw data and you just need to run the “Final_plot.py” to reproduce the plot. If you want to access the post-processed data you can simply read “superdictXX.npy” in the Dicts folder. <br> Please do not hesitate to contact us in case of any questions. <br> amir.youssefi@epfl.ch</p>
Data and code for figures in "Optical Backaction-Evading Measurement of a Nanomechanical Oscillator"
<p>Data and code for figures in "Optical Backaction-Evading Measurement of a Nanomechanical Oscillator"</p>
Optomechanical Backaction in the Bistable Regime
<p>With a variety of realisations, optomechanics utilizes its light matter interaction to test fundamental physics. By coupling the phonons of a mechanical resonator to the photons in a high quality cavity, control of increasingly macroscopic objects has become feasible. In such systems, state manipulation of the mechanical mode is achieved by driving the cavity. To be able to achieve high drive powers the system is typically designed such that it remains in a linear response regime when driven. A nonlinear response and especially bistability in a driven cavity is often considered detrimentally to cooling and state preparation in optomechanical systems and is avoided in experiments. Here we show, that with an intrinsic nonlinear cavity backaction cooling of a mechanical resonator is feasible operating deeply within the nonlinear regime of the cavity. With our theory taking the nonlinearity into account, precise predictions on backaction cooling can be achieved even with a cavity beyond the bifurcation point, where the cavity photon number spectrum starts to deviate from a typical Lorentzian shape.</p>
Data and code for the article "Superconducting qubit readout via low-backaction electro-optic transduction"
<p>Data set for the manuscript "Superconducting qubit readout via low-backaction electro-optic transduction", which will appear in Nature. </p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.