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Dataset results
10 results for “Photodiodes”
Polarized, color-selective and semi-transparent organic photodiode of aligned merocyanine H-aggregates
<p>Data to report <a href="https://doi.org/10.1039/D4TC00678J">https://doi.org/10.1039/D4TC00678J</a>:</p> <p><span><span>Highly anisotropic thin films of H-type coupled dipolar merocyanines </span></span><span><span>with large dichroic ratios of over 50 </span></span><span><span>were </span></span><span><span>deposited by solution shearing. These layers were incorporated into simultaneously color- and polarization-selective organic photodiodes. Using a transparent non-fullerene acceptor, polarization-sensitive planar-heterojunction devices with an average visible transmittance of 93% were obtained.</span></span></p> <p> </p>
High Performance Predictable Quantum Efficient Detector Based on Induced-Junction Photodiodes Passivated with SiO2/SiNx
<p>This page contains selected data from the peer-reviewed paper "High Performance Predictable Quantum Efficient Detector Based on Induced-Junction Photodiodes Passivated with SiO2/SiNx" published in Sensors by Ozhan Koybasi.</p> <p>Description of attached files:</p> <p>Figure 5. Simulated p-polarization reflectance as a function of wavelength for PQEDs mounted in trap configuration with an angle of 15° between the diodes. In this configuration the light beam undergoes 7 reflections: one at 0° degree and two reflections at 15°, 30°, and 45°. The reflectance is reported for six different thicknesses of the SiNx.</p> <p>Figure 6. Maximum and mean values evaluated in the wavelength interval 400–850 nm of the p-polarization reflectance as a function of SiNx thickness for PQEDs mounted in trap configuration with an angle of 15° between the diodes.</p> <p>Figure 7. Maximum and mean values evaluated in the wavelength interval 400–850 nm of the p-polarization reflectance as a function of SiNx thickness, when a buffer layer of 6 nm SiO2 is depos-ited before SiNx, for PQEDs mounted in trap configuration with an angle of 15° between the di-odes.</p> <p>Figure 8. Effective lifetime τeff vs. excess carrier density (Δn) for samples prepared with passivation processes described in Table 1.</p> <p>Figure 9. Photoluminescence (PL) lifetime images of samples prepared with the passivation processes described in Table 1.</p> <p>Figure 10. Capacitance—voltage (C—V) measurement results of MIS capacitors prepared with the passivation processes E2 (6 nm SiO2+ 65 nm SiNx) and E6 (65 nm SiNx) as described in Table 1, at a frequency of 1 kHz.</p> <p>Figure 11. Injection dependent effective minority carrier lifetime τeff (Δn) of test samples passivated with processes E2 (6 nm SiO2+ 65 nm SiNx) and E6 (65 nm SiNx) as described in Table 1 with simu-lation fits to extract SRV and τbulk.</p> <p>Figure 12. Simulated IQD as a function of reverse bias voltage for p-type inversion-layer photodi-ode that would be fabricated with passivation E2 (6 nm SiO2+ 65 nm SiNx) and E6 (65 nm SiNx) as described in Table I. The simulations were performed at a wavelength of 488 nm.</p> <p>Figure 13. Simulated IQD as a function of wavelength for p-type inversion-layer photodiode that would be fabricated with passivation E2 (6 nm SiO2+ 65 nm SiNx) and E6 (65 nm SiNx) as described in Table I. The simulations were performed at a reverse bias voltage of 5 V.</p> <p>Figure 16. Spatial uniformity of optical power responsivity of the PQEDs with SiO2/SiNx stack photodiodes P18-55-45 (a) and P18-54-44 (b).</p> <p> </p>
Dataset - Dual-mode room temperature self-calibrating photodiodes approaching cryogenic radiometer uncertainty
<p>This page contains selected data from the publication "Dual-mode room temperature self-calibrating photodiodes approaching cryogenic radiometer uncertainty", Marit S Ulset <em>et al</em> 2022 <em>Metrologia</em> <strong>59</strong> 035008, <strong>DOI</strong> 10.1088/1681-7575/ac6a94.</p> <p> </p> <p>Description of files:</p> <p>Fig5.txt: Data for Fig 5a. Plotted values of non-equivalence as a function of beam position on the photodiode.</p> <p>Fig6.txt: Non-equivalence (gamma) in parts per million (ppm) and responsivity in mK/mW as a function of power level P in mW. </p> <p>Fig7.txt: Spectral directional emissivity determined under 10° with respect to the sample surface normal for Wafer P7 at 20°C. Uncertainty is given as standard uncertainty (k=1).</p> <p>Fig14.txt: Calculated time constants for the four different steps in a thermal heating cycle (electrical low, optical, electrical high, optical). The average value in the published paper contains an error, as one dataset was used twice. The file also shows correct the average value, when all datasets are used only once. A corrigendum was submitted to Metrologia, but it was considered not necessary, and hence not published. </p> <p>Fig15.txt: Plotted values for apparent IQD in parts per million (ppm) for three different calculation algorithms. Uncertainty is given as propagated type A standard uncertainty.</p> <p>Fig16.txt: Plotted values for measured IQD in parts per million (ppm) as a function of absorbed optical power in µW, for two different measurement methods - OC and FB method.</p>
Experimental characterization of TERIPHIC 4-fold and 8-fold InP photodiode arrays - Detection of 50Gbaud signals with NRZ and PAM-4 modulation formats
<p>The data sets refer to the results from the experimental characterization of the TERIPHIC 4-fold and 8-fold InP-photodiode arrays, which operate in the O-band. The experimental setup consisted of a commercially available off-the-shelf (COTS) laser source, a COTS Mach-Zehnder modulator, and the TERIPHIC PD arrays. For the purposes of the experiments, signals with NRZ and PAM-4 modulation formats and 50 Gbaud symbol rates were generated, transmitted, and detected by the TERIPHIC photodetectors. Two different subassemblies were evaluated. The first subassembly had four InP photodiodes and the second eight. The generated photocurrents were sampled by a real-time oscilloscope with a 256 Gbaud sample rate. The data sets are actually the samples extracted from the oscilloscope. The data sets have a filename in the format “Symbol rate#Modulation formats#PDn#Transmission length#version#Subassemblyn.bin”, where<br> Symbol rate = 50 Gbaud<br> PDn, for n= 1,2, ...,8<br> Transmission length = B2B (0 km), 2 km, and 10 km<br> Subassembly for n=1 and 2<br> <br> The data sets are parts of the Open data management plan of the TERIPHIC ICT project (GA No. 825502)</p>
QUAPOS: A Dataset for Assessing and Optimizing Quadrant Photodiode-based Visible Light Positioning Systems
<p><span>The QUAPOS (QUAdrant photodiode-based POSitioning system) database provides a comprehensive simulated dataset for Visible Light Positioning (VLP) systems using quadrant photodiodes as receivers. QUAPOS includes data from 73 unique scenarios, covering a variety of receiver-transmitter configurations, making it ideal for testing the influence of geometric arrangements on emerging algorithms.</span></p> <p><span>The database, generated using a novel simulation tool, provides both raw and processed data, including the received energy at each receiver for each emitter, estimated emitter position coordinates (calculated using our own positioning algorithm, assuming known receiver positions), and the ground truth emitter locations. The data are available in .csv and .mat formats, <span> </span>ensuring compatibility and ease of use with common platforms such as Matlab© and Python.</span></p> <p><span>This dataset aims to support research on optimising receiver placement, developing noise-resistant algorithms, and comparing different VLP system configurations. In addition, the dataset contains enough data to support a wide range of algorithms, including those based on Machine Learning.</span></p>
Waveguide coupled III-V photodiodes monolithically integrated on Si
<p>This dataset supports the study "Waveguide coupled III-V photodiodes monolithically integrated on Si", <a href="https://arxiv.org/ftp/arxiv/papers/2106/2106.00620.pdf">https://arxiv.org/ftp/arxiv/papers/2106/2106.00620</a>. The material here represents the raw data that measured in the experiments without further processing, which was subsequently performed using Origin Graphing.</p>
Using photodiodes and supervised Machine Learning for automatic classification of weld defects in laser welding of thin foils copper-to-steel battery tabs
<p>In this folder, excel files are stored with the results of signal processing that supported findings in the following paper:</p> <p>"Using photodiodes and supervised Machine Learning for automatic classification of weld defects in laser welding of thin foils copper-to-steell battery tabs".</p> <p>Matlab scripts and orginal signals will be uploaded soon with more detailed description.</p> <p> </p>
Characterization of photodiodes for detection of variations in part-to-part gap and weld penetration depth during remote laser welding of copper-to-steel battery tab connectors
<p>In this folder, .csv files and Matlab scripts for processing data from experimental campaign that has been reported in the following paper:<br> Chianese, G., Franciosa, P., Nolte, J., Ceglarek, D., and Patalano, S., “Characterization of photodiodes for detection of variations in part-to-part gap and weld penetration depth during remote laser welding of copper-to-steel battery tab connectors.” Journal of Manufacturing Science and Engineering. In-press.</p> <p>As the experimental campaign is made up of two phases, files are divided in two folders:<br> (i) Phase I - Weld penetration depth; and,<br> (ii) Phase II - Part-to-part gap.</p> <p>In each of these two folders, there are:<br> (i) a Matlab live script that, once the code is run, allows the user to select the signals (please, select all of them);<br> (ii) functions to run the code;<br> (iii) Matlab variable files;<br> (iii) a folder with .csv files that contain signals recorded during experimental campaign;<br> (iv) an Excel file reporting experimental setup and process parameters;<br> (v) a PDF file with the live script and results of the data processing for the readers that cannot run Matlab codes.</p>
Squaraine dyes for single-component shortwave infrared-sensitive photodiodes and upconversion photodetectors
Open the record for dataset details and reuse information.
Evaluation of the loss of cut by photodiode intensity with modulated power
<p>Laser cutting is widely used in the industry as a manufacturing method for metallic sheet processing. On it a laser source melts the material, which is evacuated with the use of an assisted gas. However, system or material irregularities can move the process out of the stable condition and lead to a loss of cut, producing material and economic losses.</p> <p> </p> <p>Several monitoring methods are being investigated in the industry in order to detect the loss of cut and anticipate it. Our work focusses on the detection of the loss of cut by analysing the radiation emitted during the process by means of a photodiode.</p>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.