Metadata-Version: 2.1
Name: samABPhfunction
Version: 0.0.3
Summary: h function (similar to Hamiltonian) for steady-state ABPs
Home-page: https://github.com/samueljmcameron/samABPhfunction
Author: Sam Cameron
Author-email: samuel.j.m.cameron@gmail.com
License: UNKNOWN
Description: # samABPhfunction
        
        Package used to compute the h-function of steady-state active brownian
        particles (ABPs), according to the derivations made by Tannie and I.
        
        The true steady-state of ABPs can be taken to have the form P_{ss}= e^{-h}/Z,
        where h is what we are talking about when we refer to the h function.
        
        We simplify h a great deal, assuming a separable form as
        
        <img src="https://latex.codecogs.com/svg.latex?h(\{\mathbf{r}_i\},\{\mathbf{u}_i\})&space;=&space;\frac{1}{2}\sum_{i}\sum_{j\neq&space;i}\left&space;(\mathcal{V}(r_{ij})&space;&plus;&space;\lambda&space;w(r_{ij})\mathbf{u}_{ij}\cdot\mathbf{r}_{ij}\right&space;)" title="h(\{\mathbf{r}_i\},\{\mathbf{u}_i\}) = \frac{1}{2}\sum_{i}\sum_{j\neq i}\left (\mathcal{V}(r_{ij}) + \lambda w(r_{ij})\mathbf{u}_{ij}\cdot\mathbf{r}_{ij}\right )" />
        
        so we are really only concerned with calculating w(r_{ij}) from above.
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
