GetDist: mcsamples.py warning
GetDist: mcsamples.py warning
Hi.
When I use GetDist, I got this warning for my parameter V0.
[WARNING] [mcsamples.py:1149] auto bandwidth for V0 very small or failed (h=0.0003142188258111446,N_eff=7341.548063183055). Using fallback (h=0.0011550058718305806)
Result is here. What does that mean? And how can I solve this warning?
Sorry for my trivial questions.
Any help would be appreciated.
When I use GetDist, I got this warning for my parameter V0.
[WARNING] [mcsamples.py:1149] auto bandwidth for V0 very small or failed (h=0.0003142188258111446,N_eff=7341.548063183055). Using fallback (h=0.0011550058718305806)
Result is here. What does that mean? And how can I solve this warning?
Sorry for my trivial questions.
Any help would be appreciated.
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- Posts: 1944
- Joined: September 23 2004
- Affiliation: University of Sussex
- Contact:
Re: GetDist: mcsamples.py warning
It means the distribution is very spiky or not converged.
Have you set the parameter ranges for V0 correctly (e.g. thereby giving a fake spike across V0=0)?
Have you set the parameter ranges for V0 correctly (e.g. thereby giving a fake spike across V0=0)?
Re: GetDist: mcsamples.py warning
I set the range 0 to 100(because V0 is positive value), and there is no fake spike.
When the number of sample is small(below ~50000), there is no warning and compression.
But the sample number is larger, distribution(1d plot) is more compressed.
Result has worst e-value: R-1 = 0.00828, R-1 of V0 is 0.0233.
In addition, is it possible that position of peak is different from best-fit value in distribution(1d plot)?
In that, best-fit value is about 1.9 in GetdistGUI, but the peak is about 0.8.
Any help would be appreciated.
When the number of sample is small(below ~50000), there is no warning and compression.
But the sample number is larger, distribution(1d plot) is more compressed.
Result has worst e-value: R-1 = 0.00828, R-1 of V0 is 0.0233.
In addition, is it possible that position of peak is different from best-fit value in distribution(1d plot)?
In that, best-fit value is about 1.9 in GetdistGUI, but the peak is about 0.8.
Any help would be appreciated.
-
- Posts: 1944
- Joined: September 23 2004
- Affiliation: University of Sussex
- Contact:
Re: GetDist: mcsamples.py warning
What is the actual code used to make the plot? Are you setting the getdist ranges (not plot limits) explicitly? The global best fit does not have to agree with marginalized parameter peaks.