Metadata-Version: 2.1
Name: heprops
Version: 0.3
Summary: Properties of the chemical element helium.
Home-page: https://github.com/agdelma/heprops
Author: Adrian Del Maestro
Author-email: adrian@delmaestro.org
License: MIT
Description: `heprops` is a simple python package implementing useful properties of the chemical element helium at low temperature
        
        It includes experimental data and interpolation for the data found in the incredible and useful paper:
        
        - James S. Brooks and Russell J. Donnelly, *The calculated thermodynamic properties of superfluid helium-4*, [J. Phys. Chem. Ref. Data **6** 51 (1977).](https://aip.scitation.org/doi/10.1063/1.555549)
        
        
        Most of the data in this paper was available on the late Russel Donnelly's former website http://pages.uoregon.edu/rjd which has since been taken offline but it is still available via a 2015 snapshot on the [WayBackMachine](https://web.archive.org/web/20150620225058/http://pages.uoregon.edu/rjd/bd.htm).
        
        ## Supported Python Versions
        Python >= 3.6 (for f-strings)
        
        ## Installation
        To install via pip:
        
            pip install git+git://github.com/agdelma/heprops.git#egg=heprops
        
        ## Usage
        At present the package has a single module `helium` which contains a number of functions that return the thermodynamics properties of helium.  For example:
        
        ```python
        from heprops import helium
        import numpy as np
        
        T = np.linspace(0.5,2.5,5)
        
        # the superfluid fraction
        ρsoρ = helium.superfluid_fraction_SVP(T)
        print(ρsoρ)
        
        # the coherence length
        ξ = helium.ξ(T)
        print(ξ)
        ```
            [1.    0.993 0.889 0.447 0.   ]
            [4.11100244e-10 5.21483803e-10 7.56156315e-10 1.86293613e-09 1.24228114e-09]    
        
        ## Support
        
        The creation of this software was supported in part by the National Science Foundation under Award Nos. DMR-1808440 and DMR-1809027.
        
        [<img width="100px" src="https://www.nsf.gov/images/logos/NSF_4-Color_bitmap_Logo.png">](https://www.nsf.gov/awardsearch/showAward?AWD_ID=1808440)
        
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering :: Physics
Requires-Python: >=3.6
Description-Content-Type: text/markdown
