back_jump_prob
Calculate the back-jump probability.
Given that a state transition occurred at time \(t_0\), calculate the probability to return back to the initial state as function of the time \(\Delta t\) that has passed since the state transition.
Options
- -f
Name of the file containing the discrete trajectory. The discrete trajectory must be stored as
numpy.ndarray
either in a binary NumPy .npy file or in a (compressed) NumPy .npz archive. Seemdtools.file_handler.load_dtrj()
for more information about the requirements for the input file.- -o
Output filename.
- -b
First frame to read from the discrete trajectory. Frame numbering starts at zero. Default:
0
.- -e
Last frame to read from the discrete trajectory. This is exclusive, i.e. the last frame read is actually
END - 1
. A value of-1
means to read the very last frame. Default:-1
.- --every
Read every n-th frame from the discrete trajectory. Default:
1
.- --intermittency
Maximum number of frames a compound is allowed to leave its state whilst still being considered to be in this state provided that it returns to this state after the given number of frames. In other words, a compound is only considered to have left its state if it has left it for at least the given number of frames.
- --continuous
If not provided, calculate the probability that a compound returns back to its initial state at time \(t_0 + \Delta t\). This probability might be regarded as the “discontinuous” or “intermittent” back-jump probability.
If provided, calculate the probability that a compound returns back to its initial state at time \(t_0 + \Delta t\) under the condition that it has continuously been in the new state from time \(t_0\) until \(t_0 + \Delta t\), i.e. that the compound does not visit other states before returning back to its initial state. This probability might be regarded as the “continuous” or “true” back-jump probability.
- --discard-neg
If provided, discard negative states, i.e. discard back jumps starting from (and consequently ending in) a negative state.
- --discard-neg-btw
If provided, discard back jumps when the compound has visited a negative state between \(t_0\) and \(t_0 + \Delta t\).
See also
mdtools.dtrj.back_jump_prob()
The underlying function that calculates the back-jump probability
scripts.discretization.back_jump_prob_discrete
Calculate the back-jump probability resolved with respect to the states in the second discrete trajectory