MSL data in the PDS and the Analyst's Notebook, Working with the archived science & engineering data |
MSL data in the PDS and the Analyst's Notebook, Working with the archived science & engineering data |
Feb 27 2013, 07:22 PM
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Solar System Cartographer Group: Members Posts: 10229 Joined: 5-April 05 From: Canada Member No.: 227 |
"February 27, 2013. MSL Release 1, part 1, Sols 0-89.
The first release of MSL data takes place in two parts. Part 1, February 27, 2013, includes raw data products (EDRs) acquired on Sols 0 through 89, August 6 through November 5, 2012, for these instruments: APXS, ChemCam, DAN, Hazcam, Navcam, and REMS, along with SPICE data. Part 2, March 20, 2013, will include the derived data products (RDRs) for Sols 0 though 89 for the APXS, ChemCam, DAN, Hazcam, Navcam, and REMS instruments, along with both the EDRs and RDRs for the CheMin and RAD instruments, and the RDRs for the SAM instrument. Release 1 does not include data from the MAHLI, MARDI, or Mastcam instruments. These instrument teams have not yet delivered data products to PDS. Some documents in the MSL archives are awaiting clearance by JPL Document Review and/or the JPL Import/Export Control Office. They will be posted online as soon as clearance has been received, and announced on this web site." Phil -------------------- ... because the Solar System ain't gonna map itself.
Also to be found posting similar content on https://mastodon.social/@PhilStooke Maps for download (free PDF: https://upload.wikimedia.org/wikipedia/comm...Cartography.pdf NOTE: everything created by me which I post on UMSF is considered to be in the public domain (NOT CC, public domain) |
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Apr 24 2013, 09:07 AM
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Senior Member Group: Members Posts: 2346 Joined: 7-December 12 Member No.: 6780 |
There are ways to further reduce the discrepancy between Sol 89 Brightness Temperature A and B by applying time-dependent calibrations:
Take the central part of the Sol 89 time series of the adjusted version of Brightness Temperature B, average it by a window of 100 records, and subtract Brightness Temperature A, averaged in the same way. The result shows the remaining discrepancy of the two temperature series. The goal is, to reduce this discrepancy to noise by applying simple adjustments. The following two calibration steps lead to an improved consistency: Step one: Subtract an appropriate biquadratic parabola for a time interval. Step two: Subtract an appropriate exponential function for a time interval: The applied functions aren't the best possible, but they may be sufficient to show the desired effect. Discussion: A quadratic parabola instead of a biquadratic one didn't work. But using squared sine or cosine instead of the parabola may yield similar good results. The exponential function is adjusted to the averaging window of 100 records; for other averaging windows either its parameters need to be adjusted to the way of averaging, or an appropriate exponential function itself has to be averaged over the window. Interpretation: The Stefan–Boltzmann law is a temperature-related physical law that contains a 4th power. There might be a connection to the biquadratic parabola. Newton's law of cooling follows an exponential law. There might take place a heat transfer, which explains the exponential function. At the right wing of the central part of the Sol 89 Brightness B time series there are still discrepancies, which need to be explained in a different way. I didn't yet find an evident coincidence with other Sol 89 causes, like masthead movements applicable to UV. |
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