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ShareScore release 0.9.0
Dataset results
57 results for “optomechanics”
Data supporting the publication "Non-Hermitian chiral phononics through optomechanically-induced squeezing"
<p>Data supporting the publication "Non-Hermitian chiral phononics through optomechanically-induced squeezing". Version 2, including Extended Data figures.</p>
Data and simulation files for: "Optimization of diamond optomechanical crystal cavities"
<p>Data and simulation files for the article "Optimization of diamond optomechanical crystal cavities".</p>
Data of Figure 6 ("Photonic and Optomechanical Thermometry", Optics 2022, 3, 159–176 (doi.org/10.3390/opt3020017))
<p>data of Figure 6:</p> <p>Sheet 1: Temperature change vs max. power within the opt. cavity of the photonic nanobeam</p> <p>Sheet 2: Temperature change vs max. intensity within the opt. cavity of the photonic nanobeam</p> <p>Sheet 3: Linear Fit and Extrapolation of "Temperature change vs max. intensity"</p>
Data of Figure 2 - "Photonic and Optomechanical Thermometry"
<p><strong>"Fig_2a_Spectra_Backround.csv"</strong></p> <p> - Raw data of PIC transmittance and estimated background</p> <p><strong>"Figure_2b,2c - Spectra Section,Fits,Residuals.xls"</strong></p> <p> - PIC transmittance, normalised by the background</p> <p> - Dataset of the lorentz fit for each peak (R1, R2, R3)</p> <p> - Fit residuals of peak fit</p>
Fig8.c--Photonic and Optomechanical Thermometry
<p>Data of figure 10.b depicting the optical resonance shift due to the thermorefractive and thermal expansion effects.</p> <p>The folder contains the raw optical spectra for each temperature and the analyzis python script.</p>
Observations of a PT-like phase transition and limit cycle oscillations in non-reciprocally coupled optomechanical oscillators levitated in vacuum
<p>Trajectories of optically levitated particles in vacuum. Trajectories are recorded using quadrant photodiode and ultra-fast CMOS camera. The readme file with more detailed description is added.</p>
Data and code for figures in "Level attraction in a microwave optomechanical circuit"
<p>Data and code used to produce the figures in "Level attraction in a microwave optomechanical circuit".</p> <p>The code is tested with Python 2.7.14, Matplotlib 2.1.1, Scipy 1.1.0, Numpy 1.14.0.</p>
Unitary unraveling for the dissipative continuous spontaneous localization model: Application to optomechanical experiments
<p>bounds.nb - Main program </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 simulations files for the article "Accurate modeling and characterization of photothermal forces in optomechanics"
<p>Data and simulations files for the article "Accurate modeling and characterization of photothermal forces in optomechanics".</p>
Data from: Optomechanical quantum teleportation
<p>Source data for Figures.</p>
Data supporting the publication "Enhanced nonlinear optomechanics in a coupled-mode photonic crystal device"
<p>Data supporting the publication "Enhanced nonlinear optomechanics in a coupled-mode photonic crystal device". Set contains raw measured data and plotted data points for all figures in the main text.</p>
Data and simulation files for: "Silicon anisotropy in a bi-dimensional optomechanical cavity"
<p>Data and simulation files for: "Silicon anisotropy in a bi-dimensional optomechanical cavity"</p>
Data for "Integrated microcavity optomechanics with a suspended photonic crystal mirror above a distributed Bragg reflector"
<p>Data used for figures in "Integrated microcavity optomechanics with a suspended photonic crystal mirror above a distributed Bragg reflector" Sushanth Kini Manjeshwar et.al (arXiv:2305.13511)</p>
Microwave generation and frequency comb in a silicon optomechanical cavity with a full phononic bandgap
<p>Experimental and theoretical data of the publication of Microwave generation and frequency comb in a silicon optomechanical cavity with a full phononic bandgap (ArXiv version)</p>
Suspended photonic crystal membranes in AlGaAs heterostructures for integrated multi-element optomechanics
<p>The figures in [Sushanth Kini Manjeshwar et.al (arXiv:2004.12454)] were produced with the data stored here. The data were produced by the provided scripts. Please read the Readme.txt for the overview of the structure of the data and how to use the scripts to re-generate the data or use it to produce new data.</p>
Data and code for figures in "Nonreciprocal reconfigurable microwave optomechanical circuit"
<p>Data and code used to produce the figures in "Nonreciprocal reconfigurable microwave optomechanical circuit".</p> <p>The code is tested with Python 2.7.10, Matplotlib 2.0.0b4, Scipy 0.18.0, Numpy 1.12.0 and COMSOL multiphysics 5.2.</p>
Topological phonon transport in an optomechanical system
<p>This file contains the data and code for the paper "Topological phonon transport in an optomechanical system" (https://www.nature.com/articles/s41467-022-30941-0).</p>
Data of Figure 9 ("Photonic and Optomechanical Thermometry", Optics 2022, 3, 159–176, doi.org/10.3390/opt3020017)
<p>Data of figure 9 includes: (9b.csv) thermomechanical noise spectra at different temperatures obtained using a spectrum analyzer. The x-axis is centered at the fundamental resonance frequency of each spectrum for comparison. (9c.csv) temperature extracted by integrating the area under the peak at each temperature with the standard deviation.</p>
Data of Figure 11 ("Photonic and Optomechanical Thermometry", Optics 2022, 3, 159–176, doi.org/10.3390/opt3020017)
<p>Data of figure 11 includes: (11a.csv) Simulated temperature distribution plot with an incident power P = 64.39 μW; (11b.csv) thermomechanical noise spectra measured at a temperature of 5 K for different laser powers. The x-axis is the difference in frequency from the resonance frequency measured with a laser power of 64.39 μW, equal to 1.331 MHz. (11c.csv) measured resonance frequency difference versus laser power with respect to the resonance frequency acquired with a laser power of 64.39 μW; (11d.csv) temperature extracted from the measurements in (11b.csv) by integrating the area under the peak versus laser power.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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)
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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.