masstable 0.1.2

Utilities for working with nuclear mass tables.

The Nuclear Mass Table Toolkit provides utilities to work with nuclear mass tables. At the moment the following tables are supported:

• AME2003: G. Audi, H. Wapstra, C. Thibault, Nucl. Phys. A 729 (2003) 337

• AME2012: G. Audi et al, Chinese Physics C. 36, No. 12(2012)

• DUZU: J. Duflo, A.P. Zuker, Phys. Rev. C 52 (1995)

• FRDM95: Moller, P. et al., At. Data and Nuc. Data Tables 59 (1995) 185

• KTUY05: H. Koura, T.Tachibana, M. Uno, M. Yamada, Progr. Theor. Phys. 113 (2005) 305

• ETFSI12: Y. Aboussir et al., At. Data Nucl. Data Tables 61 (1995) 127

• HFB14: S. Goriely, M. Samyn, J.M. Pearson, Phys. Rev. C 75 (2007) 064312

Usage:

• Print first 5 elements from Audi 2003:

>>> from masstable import Table
>>> Table('AME2003').head()
Z  N
0  1     8.07132
1  0     7.28897
   1    13.13570
   2    14.94980
   3    25.90150

• Calculate the root mean squared error of Moller, et al. Atomic Data and Nuclear Data Tables, 59 (1995), 185-351.

>>> Table('FRDM95').rmse(relative_to='AME2003')
0.890859326191

• Calculate 2 neutron separation energies for even-even nuclei:

>>> table = Table('AME2012').even_even.s2n
Z  N
2  2           NaN
   4      0.975454
   6      2.125034
   8     -1.417666
4  2           NaN
       ...

• Select nuclei with Z,N > 28:

>>> condition = lambda Z,N: Z > 28 and N > 28
>>> table.select(condition)
30  30    28.016334
    32    23.136434
    34    20.978934
    36    19.037934
    38    17.250334
    40    15.700534
       ...

• Plot binding energies per nucleon:

>>> t = Table('AME2012')
>>> (t.binding_energy/t.A).plot()

Install

Just do:

pip install masstable

Requirements

• python >= 2.7

• pandas >= 0.11