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Hello to all the community, I am writing to you because I have been using the FES implementation of pymbar to calculate the PMF from an umbrella sampling, but I have encountered some issues with the definition of the reduced potential.
The documentation explains that the reduced potential, or u_kn, used to initialize the FES object, is an array of shape K,N where K is the number of simulations or states and N is the number of configurations of each state. However, in the umbrella sampling example code on GitHub, the u_kln matrix, which is an array of shape K,K,N, is used to initialize the FES object. I am wondering why this matrix is used instead.
Additionally, to generate the PMF, the u_kn matrix is used, but the documentation mentions that the reduced potential of one state can be used. Could you help me understand these discrepancies?
The text was updated successfully, but these errors were encountered:
Hello to all the community, I am writing to you because I have been using the FES implementation of pymbar to calculate the PMF from an umbrella sampling, but I have encountered some issues with the definition of the reduced potential.
The documentation explains that the reduced potential, or u_kn, used to initialize the FES object, is an array of shape K,N where K is the number of simulations or states and N is the number of configurations of each state. However, in the umbrella sampling example code on GitHub, the u_kln matrix, which is an array of shape K,K,N, is used to initialize the FES object. I am wondering why this matrix is used instead.
Additionally, to generate the PMF, the u_kn matrix is used, but the documentation mentions that the reduced potential of one state can be used. Could you help me understand these discrepancies?
The text was updated successfully, but these errors were encountered: