Hi,
So I'm incredibly sorry if this issue has arisen before but I checked the topic streams and found nothing so here goes:
I have used the ./getdist program as well, however my supervisor has told me to change the outputs of the created to .m files (since in our line MATLAB is easier to use and I haven't the foggiest when it comes to Python!)
I've got output scripts for the cmbalone and the 2D plots. Unfortunately, those the Gaussian 1D plots look acceptable, the contour plots (2D) are giving a false colour map and crazy contour lines
Could anyone explain to me why this is happening? The scripts run fine (though the 3d plot one doesnt) and the code is very dense with no error runs.
If it helps anyone to answer, I've used a MPI computer to run this and had to move to a local directory (given that the supercomputer doesn't have matlab) and I've only moved the output directory and the plot_data directory.
cmbalone_2D.pdf
Thanks in advance
Luke
./GetDist data into Matlab Plotting  false/partial contour maps of likelihoods

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Re: ./GetDist data into Matlab Plotting  false/partial cont
You are plotting totally correlated variables (e.g. [tex]\Omega_m = 1\Omega_\Lambda[/tex]). Probably other more useful plots will be OK, though matlab plots were never great. It would be a very good idea to switch to Python sooner rather than later.
./GetDist data into Matlab Plotting  false/partial contour
Yeah these were preliminary graphs and I noticed the [tex] \Omega_m[/tex] vs. [tex]\Omega_\Lambda [/tex] graph and knew that already from our cosmology courses (well the assumption).
The thing that troubled me was the lack of colour present on the 2D graphs, but I've just gone through them again and they've come out quite nicely on MATLAB.
That being said, I've never used Python before so I'm gonna get equipped with it so I can graphically analyse the results through .py as well.
Thanks for your help Antony
Luke
The thing that troubled me was the lack of colour present on the 2D graphs, but I've just gone through them again and they've come out quite nicely on MATLAB.
That being said, I've never used Python before so I'm gonna get equipped with it so I can graphically analyse the results through .py as well.
Thanks for your help Antony
Luke