Flux measurements at the CNRS big solar furnace in Odeillo with heliostat scan (L4 data)

<p><strong>Flux measurements at the big solar furnace in Odeillo.</strong></p> <p>Data levels description:</p> <ul> <li>Level 0 data: raw datasets from the different acquisition systems (cameras, radiometers, motion controllers&hellip;).</li> <li>Level 1 data: area of interest extracted from flux camera images and converted as HDF file (grayscale).</li> <li>Level 2 data: All data synchronised, converted and supersampled at millisecond resolution in HDF files: DNI, radiometer, heliostat aiming location from ARGOS camera, image maps at focal plane on the receiver in suns normalised for DNI 1000 W/m2.</li> <li>Level 3 data: data interpolated and smoothed for regular heliostat aiming positions.</li> <li><strong>=&gt; Level 4 data: idem, but spatially subsampled at various resolutions. Provided here: 10mm resolution.</strong></li> </ul> <p>One HDF file per heliostat.</p> <p>Heliostats chosen randomly among the 26 available.</p> <p>HDF file are compressed in zstandard.&nbsp;In python 3, requires the packages:&nbsp;pandas, hdf5plugin, tables, h5py, blosc, zstd.</p> <p>For each heliostat : the aiming position of the heliostats was moved in S patterns.</p> <p>Data from experiment started&nbsp;2021-12-22 120618 GMT.</p> <p>Data processing completed 2022-03-02 1459&nbsp;GMT.</p> <p><strong>References:</strong></p> <ul> <li>Related to SolarPaces 2022 communication:&nbsp;<strong>Building a 5D Database of Heliostats Flux Distributions: toward High Flexibility High Accuracy Flux Control for Odeillo&#39;s Big Solar Furnace&nbsp;</strong></li> <li>Solar furnace description and more:&nbsp;<a href="https://doi.org/10.1063/1.5067052">https://doi.org/10.1063/1.5067052</a></li> <li>Cameras settings description and more:&nbsp;<a href="https://doi.org/10.1063/1.5067202">https://doi.org/10.1063/1.5067202</a></li> </ul>