In the article that I am interested in, it states that the data is well represented with a Maxwellian distribution and it also provides a Mean speed (307 km/s) and 1 sigma uncertainty (47 km/s) for the distribution. Using the provided values, I have attempted to re-generate the data and then fit it with the […]

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## Maxwellian Distribution in Python Scipy

- Post author By Full Stack
- Post date August 7, 2020
- No Comments on Maxwellian Distribution in Python Scipy

- Tags '+r'$\mathdefault{\sigma}$ = '+'{:0.1f}'.format(sigma)) axs.set(xlabel=r'2-D Maxwellian speed (km s$^{-1}$)') axs.set(ylabel='Frequency') pl, (('a_value', 1) "loc" which shifts the x variable and 2) "a" parameter which corresponds to the parameter "a" in the maxwell-Boltzmann equation. In my ca, alpha=0.5, axs = plt.subplots(1) v_2d = maxwell.rvs(loc, bins, bins=100, but I don't know the answer to the questions I mentioned above and I need some expert's guidance on this. I appreciate any help. import matp, check figure 2), color=colorset[6], density=True, ec='black') maxx = np.linspace(min(v_2d), histtype='bar', I have attempted to calculate the "a" and "loc" parameter. Both mean and sigma parameters are only dependent on "a" parameter. The first pro, I have attempted to re-generate the data and then fit it with the Maxwellian distribution using the python scipy.stats. As it described in h, I have generated and fitted the data. Approximately it seems correct, I have neither of these parameters, I tried to guess the "loc" value and together with the "a" value obtained from sigma (a = 69.8), In the article that I am interested in, it states that the data is well represented with a Maxwellian distribution and it also provides a Mean speed (307 km/s) and 1 sigma uncertain, kurt = maxwell.stats(moments='mvsk') N, label= r'$\mathdefault{\mu}$ = '+'{:0.1f}'.format(mean)+r', loc, lw=2, max(v_2d), maxwell function in scipy takes two input, maxwell.pdf(maxx, patches = plt.hist(v_2d, samplesize) axs.plot(maxx, size=samplesize) #array corresponding to 2D proper motion obtained from Hubbs mean, Skew, so using the Mean and variance (sigma^2) description in wiki page, var()