Emcee | runs iOS tests in parallel using multiple simulators | Architecture library

I am trying to implement lmfit into my fitting routines, and I am having issues defining the errors. I premise that I read previous questions regarding the topic on this platform, and I also went through the docs, but some of my doubts are still there.

Below is a complete and minimal example of what I am trying to achieve.

In Python 2.7 I used to be able to use the following code (I'm using the emcee package):

Despite having a working script for curve fitting using the lmfit library, I am not able to solve a display issue. Indeed, having only 5 dependent values, the resulting graph is rather coarse.

Before switching to lmfit, I was using curve_fit and could solve the display issue by simply using np.linspace and plot the optimized values resulting from the fit procedure. Then, I was displaying the "real" values through plt.errorbar. With lmfit, the above solution yields a mismatch error, since it recognizes the "fake" independent variables and launches a mismatch type error.

My full script is the following:

I'm trying to create this timeline telling people about graffiti art. I have a problem where I couldn't cut short my page and it would let me scroll down to nothingness. Here is the code with only CSS and HTML.

EDIT: Here is a Gif about my problem is, I tried to remove the timeline: 3000px, but it only works for the snippet, didn't work for Dreamweaver. I tried to run on both Chrome and Firefox

GIF OF MY PROBLEM

I am trying to fit a very complicated (Flattened Gaussian) model to a data I have obtained. Image for flattened Gaussian formula (variable fc in my code here represents vo, central frequency.)

I have written the code in python using from scipy.optimize import curve_fit. It is unable to optimize my equation and always gives the same answers for the parameters. Link to the data file: https://www.filehosting.org/file/details/795968/my-file.dat

I have a function with three parameters a,b and c and I want to define different priors for each of these parameters. I am using the emcee package.

I started with the simple uniform (non-informative) prior:

I am using EMCEE Python package which is MCMC method. When I choose 500 steps and 300 walkers everything is OK and after couple of hours I have the results and outputs. But as I change them to higher steps (800) and higher walkers (400) after many hours shell is restarted by python without any outputs and results.

I read the questions about this issue in stackoverflow, but I could not understand what should I do for this such a problem. Bwcause forlower steps and walkers I have the answer.

I am wondering iif there is any problem with RAM? with IDLE? or what?

Thank you

I'm having an issue using emcee. Its a simple enough 3 parameter fit but occasionally (only has occurred in two scenarios so far despite much use) my walkers burn in just fine but then do not move (see figure below). The acceptance fraction reported is 0.

Has anyone else encountered this issue before? I have tried varying my initial conditions and number of walkers and iterations etc. This piece of code has been running well on very similar data sets. Its not a challenging parameter space and it seems unlikely that the walker would be getting "stuck".

Any ideas? I'm stumped... my walkers are lazy it seems...

Sample code below (and sample data file). This code + data file fail when I run it.

A few days ago I renamed a branch (following these steps) named emcee in my repo to emcee_old. Then, I created a new branch with the same name (emcee) but branching from a different point in my develop branch. Here's how Github shows this process:

The issue is that now if I check a file in the new emcee branch, it contains a commit that was made to that file in the old emcee. For example the .gitignore file in the new branch shows a commit that was made in 2017 in the old branch:

Even weirder is that if I access the history of that file (in the new branch) that commit is not there:

Why is going on here?