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: 10227 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 15 2013, 11:17 AM
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Senior Member Group: Members Posts: 2346 Joined: 7-December 12 Member No.: 6780 |
A small step towards a better assessment of Brightness Temperature B:
Take a (cartesian) coordinate system with two axes, one for Brightness Temperature A, one for Brightness Temperature B. Now take the Sol 89 data and add a point for each record of the data at the respective (Brightness Temperature A / Brightness Temperature B ) position. Tile the coordiante system parallel to the axes. Count the points in each rectangle and take that count as the respective position on a third axes. The result is a sequence of histograms. They may be drawn in the following way as "slices": Looking just at one such "slice" (for a fixed Brightness Temperature A interval) at a time, and repeating this for the first 20 slices may result in an animated gif like this one, as a different way to represent the same data: (Link to the gif) The headline indicates the considered Brightness Temperature A interval. The horizontal axis describes Brightness Temperature B. The vertical axis shows the number of entries near the respective Brightness Temperature B. (I allowed neighbouring slices to overlap.) The diagrams show clearly, that for low Brightness Temperature A there are two peaks for Brightness Temperature B. That's not at all a Gaussian distribution. So the concern about averaging correctly is justified based on actual data. |
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