5.1. Experimental hyper-nuclei with 1 Lambda#
In this tutorial, you will learn how to get experimental data associated to hyper-nuclei.
Import the libraries that will be employed in this tutorial.
# Import numpy
import numpy as np
# Import matplotlib
import matplotlib.pyplot as plt
# Import nucleardatapy package
import nucleardatapy as nuda
You can simply print out the properties of the nuda’s function that we will use:
# Explore the nucleardatapy module to find the correct attribute
print(dir(nuda.hnuc.setupRE1LExp))
['__class__', '__delattr__', '__dict__', '__dir__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__getstate__', '__gt__', '__hash__', '__init__', '__init_subclass__', '__le__', '__lt__', '__module__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__', '__sizeof__', '__str__', '__subclasshook__', '__weakref__', 'print_latex', 'print_outputs']
Set the experimental tables for 1-Lambda hyper-nuclei:
tables, tables_lower = nuda.hnuc.re1L_exp_tables()
print('tables:',tables)
tables: ['2016-1L-GHM']
Select a table:
table1L = '2016-1L-GHM'
Instantiate hnuc:
hnuc = nuda.hnuc.setupRE1LExp( table = table1L )
hnuc.print_outputs()
- Print output:
table: 2016-1L-GHM
ref: Gal, Hungerford, and Millener, Rev. Mod. Phys. 88, 1 (2016)
label: ['GHM-2016 Emul1', 'GHM-2016 Emul1', 'GHM-2016 Emul1', 'GHM-2016 Emul1', 'GHM-2016 Emul1', "GHM-2016 (e,e'K)", 'GHM-2016 Emul', 'GHM-2016 Emul1', 'GHM-2016 Emul1', 'GHM-2016 Emul1', 'GHM-2016 Emul1', 'GHM-2016 Emul1', 'GHM-2016 Emul1', "GHM-2016 (e,e'K)", 'GHM-2016 Emul1', 'GHM-2016 Emul1', 'GHM-2016 ($\\pi$,K)', 'GHM-2016 Emul1', 'GHM-2016 Emul1', 'GHM-2016 Emul1', "GHM-2016 (e,e'K)", "GHM-2016 (e,e'K)", 'GHM-2016 ($\\pi$,K)', 'GHM-2016 Emul1', 'GHM-2016 ($\\pi$,K)', 'GHM-2016 Emul', 'GHM-2016 ($\\pi$,K)', 'GHM-2016 Emul1', 'GHM-2016 Emul', 'GHM-2016 ($\\pi$,K)', 'GHM-2016 Emul', 'GHM-2016 Emul1', "GHM-2016 (e,e'K)", "GHM-2016 (e,e'K)", 'GHM-2016 ($\\pi$,K)', 'GHM-2016 ($\\pi$,K)', 'GHM-2016 ($\\pi$,K)', 'GHM-2016 ($\\pi$,K)', 'GHM-2016 ($\\pi$,K)', 'GHM-2016 (K,$\\pi$)', 'GHM-2016 (K,$\\pi$)', 'GHM-2016 (K,$\\pi$)', 'GHM-2016 (K,$\\pi$)', 'GHM-2016 (K,$\\pi$)', 'GHM-2016 ($\\pi$,K)', 'GHM-2016 ($\\pi$,K)', 'GHM-2016 ($\\pi$,K)', "GHM-2016 (e,e'K)", 'GHM-2016 ($\\pi$,K)', 'GHM-2016 ($\\pi$,K)', 'GHM-2016 ($\\pi$,K)', 'GHM-2016 ($\\pi$,K)', 'GHM-2016 ($\\pi$,K)', 'GHM-2016 ($\\pi$,K)', 'GHM-2016 ($\\pi$,K)', 'GHM-2016 ($\\pi$,K)', 'GHM-2016 ($\\pi$,K)', 'GHM-2016 ($\\pi$,K)', 'GHM-2016 ($\\pi$,K)', 'GHM-2016 ($\\pi$,K)', 'GHM-2016 ($\\pi$,K)', 'GHM-2016 ($\\pi$,K)', 'GHM-2016 ($\\pi$,K)']
note: write here notes about this table.
A: [ 3 4 4 5 6 7 8 7 8 9 7 8 9 10 10 9 10 10
11 12 12 12 12 12 12 12 13 13 13 13 13 14 16 16 16 16
28 28 28 32 32 32 40 40 51 51 51 52 89 89 89 89 89 139
139 139 139 139 208 208 208 208 208]
Z: [ 1 1 2 2 2 2 2 3 3 3 4 4 4 4 4 5 5 5 5 5 5 5 6 6
6 6 6 6 6 6 6 6 7 7 8 8 14 14 14 16 16 16 20 20 23 23 23 23
39 39 39 39 39 57 57 57 57 57 82 82 82 82 82]
N: [ 1 2 1 2 3 4 5 3 4 5 2 3 4 5 5 3 4 4
5 6 6 6 5 5 5 5 6 6 6 6 6 7 8 8 7 7
13 13 13 15 15 15 19 19 27 27 27 28 49 49 49 49 49 81
81 81 81 81 125 125 125 125 125]
S: [-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1]
Q: [ 1 1 2 2 2 2 2 3 3 3 4 4 4 4 4 5 5 5 5 5 5 5 6 6
6 6 6 6 6 6 6 6 7 7 8 8 14 14 14 16 16 16 20 20 23 23 23 23
39 39 39 39 39 57 57 57 57 57 82 82 82 82 82]
symb: ['H', 'H', 'He', 'He', 'He', 'He', 'He', 'Li', 'Li', 'Li', 'Be', 'Be', 'Be', 'Be', 'Be', 'B', 'B', 'B', 'B', 'B', 'B', 'B', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'N', 'N', 'O', 'O', 'Si', 'Si', 'Si', 'S', 'S', 'S', 'Ca', 'Ca', 'V', 'V', 'V', 'V', 'Y', 'Y', 'Y', 'Y', 'Y', 'La', 'La', 'La', 'La', 'La', 'Pb', 'Pb', 'Pb', 'Pb', 'Pb']
ell: [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 0 0 0 1 1 0 0 1 0 1 0
1 2 0 1 2 1 2 0 1 2 0 0 1 2 3 4 0 1 2 3 4 0 1 2 3 4]
re: [ 0.13 2.04 2.39 3.12 4.18 5.55 7.16 5.58 6.8 8.5 5.16 6.84
6.71 8.55 9.11 8.29 8.7 8.89 10.24 11.37 11.52 0.54 11.36 10.8
0.36 0.14 12. 11.69 11.69 1.1 0.8 12.17 13.76 2.84 13. 2.5
17.2 7.6 -1. 17.5 8.2 -1. 11. 1. 21.5 13.4 5.1 21.8
23.6 17.7 10.9 3.7 -3.8 25.1 21. 14.9 8.6 2.1 26.9 22.5
17.4 12.3 7.2 ]
re_err: [0.05 0.04 0.03 0.2 0.1 0.15 0.7 0.03 0.03 0.12 0.08 0.03 0.04 0.13
0.22 0.18 0.3 0.12 0.05 0.06 0.02 0.04 0.2 0.18 0.2 0.05 0.2 0.12
0.12 0.2 0.3 0.33 0.16 0.18 0.2 0.2 0.2 0.2 0.5 0.5 0.5 0.5
0.5 0.5 0.6 0.6 0.6 0.3 0.5 0.6 0.6 0.6 1. 1.2 0.6 0.6
0.6 0.6 0.8 0.6 0.7 0.6 0.6 ]
print(' Z:',hnuc.Z)
print(' A:',hnuc.A)
print(' ch:',hnuc.ch)
print('lre:',hnuc.lre)
print('lre_err:',hnuc.lre_err)
Z: [ 1 1 2 2 2 2 2 3 3 3 4 4 4 4 4 5 5 5 5 5 5 5 6 6
6 6 6 6 6 6 6 6 7 7 8 8 14 14 14 16 16 16 20 20 23 23 23 23
39 39 39 39 39 57 57 57 57 57 82 82 82 82 82]
A: [ 3 4 4 5 6 7 8 7 8 9 7 8 9 10 10 9 10 10
11 12 12 12 12 12 12 12 13 13 13 13 13 14 16 16 16 16
28 28 28 32 32 32 40 40 51 51 51 52 89 89 89 89 89 139
139 139 139 139 208 208 208 208 208]
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
Cell In[6], line 3
1 print(' Z:',hnuc.Z)
2 print(' A:',hnuc.A)
----> 3 print(' ch:',hnuc.ch)
4 print('lre:',hnuc.lre)
5 print('lre_err:',hnuc.lre_err)
AttributeError: 'setupRE1LExp' object has no attribute 'ch'