pypdg

Python library containing Particle Data Group information

from pypdg import *

will import all particles in the PDG (assuming they are got by my regexps, there are some special cases, which are dealt with) in the classes:

• alldata all data including latex names, but data is all strings
• particles add data, no latex names, data in floats
• mass mass data in floats
• umass mass data in ufloats (uncertainty floats)
• life life data in floats
• ulife life data in ufloats
• width width data in floats
• uwidth width data in ufloats

The particles class inherits from pandas.DataFrame but with additional fucntionality to search for details with particles.guess(). Classes (u)mass, (u)width and (u)life are the same, but inherit from pandas.Series.

The guess method uses the fuzzywuzzy module if you have it, otherwise it uses basic string matching.

As well as the particle name adjusted from the LaTeX version in the PDG (so you can get particle using particles['K*(892)0']) you can do particles.Kst_892_0. The rules used are as follows:

• * to st
• _ to ''
• () to _
• + to p
• - to m

for exapmple D_2*(2460)+ goes to D2st_2460_p.

If you are not sure of a particle name, you can use the find() method, which will output the best matches.

**UNITS are MeV and s **

##Creating the database There is a csv file in the module, which is all you need; but in case you want to recreate go into make_dataset, run the scripts:

• part1: gets the PDG website, takes ages,
• part2: greps the approriate pages and organizes data into something dealable with in python easily,
• part3: regexp etc. which turns data into a csv, move the resulting file into main directory.

The file special_cases contains info for other particles, for example the K*(892)⁰ has the same PDG page for the charged and neutral modes, so is dealt with separately. There are not many examples of this.