Hi Peter,

I read through your ideas. First of all, I started SymPy as a
theoretical physics student myself,
and I wanted to automate the General Relativity as well as high energy
QFT calculations. I am still
very interested in that, but there are a lot of tough problems and
parts that need to be in place.

You need to be able to do integrals, handle potentially large
formulas, tensor manipulation and simplification
(e.g. gamma matrices), and so on. It's not easy at all, but we've done
a long progress since the time I started
SymPy in 2007 or so. Most of these things are in place, in some form.
In order to efficiently handle very large
expressions, I started developing CSymPy about half a year ago
(https://github.com/certik/csympy), this
will come very handy as well for these applications.

The best way to get some ideas of what can be done is to look into
existing packages, they are pretty much
all in Mathematica. In fact, most theoretical physicist just use
Mathematica. And let's be frank, it's currently the
best if you just care about getting the results. There is also GiNaC
(http://www.ginac.de/) that can be used for some of the
high energy stuff, but CSymPy can now do pretty similar things,
sometimes faster. So there is:

http://www.feyncalc.org/

there are all these various things people wrote for Mathematica:

@article{huber2012crasydse,
  title={CrasyDSE: A framework for solving Dyson--Schwinger equations},
  author={Huber, Markus Q and Mitter, Mario},
  journal={Computer Physics Communications},
  volume={183},
  number={11},
  pages={2441--2457},
  year={2012},
  publisher={Elsevier}
}

@article{huber2012algorithmic,
  title={Algorithmic derivation of functional renormalization group
equations and Dyson--Schwinger equations},
  author={Huber, Markus Q and Braun, Jens},
  journal={Computer Physics Communications},
  volume={183},
  number={6},
  pages={1290--1320},
  year={2012},
  publisher={Elsevier}
}

But the advantage of SymPy is that the whole stack is opensource, and
SymPy is just a library, so it better integrates
with things like IPython Notebook and you can create the whole
application in it. For example, the physics.quantum
module has some good stuff, that plays together much better than
packages in Mathematica. Another great application is PyDy.

So it would be really nice to have the project that you describe. You
should have a look at work done by Francesco Bonazzi
regarding the gamma matrices:

https://github.com/Upabjojr
https://github.com/sympy/sympy/pull/2601

He has lots of PRs, closed and open. It's nontrivial. And those are
just the gamma matrices. I think Francesco's goal
could be summarized by your proposal, and he's done many months worth
of work on it already. So the scope is just huge.
So there is plenty of things that could be done for the summer.

One of the things is for example just the Feynman diagrams generator
for various Lagrangians. I am sure there must be some
packages that do that, but it'd be nice to integrate this with SymPy
and create nice IPython Notebooks that generate all the correct
diagrams, for example from Peskin & Schroeder. This will be good for
pedagogical reasons, as well as computations. In general,
good applications in my opinion are providing automatic symbolic
solutions to various exercises from books.

Another thing is of course Regularization and Renormalization.

I would suggest you to figure out something, that can be finished
during a summer and that would provide something useful,
on it's own. So that you can create nice examples out of it. Then you
can continue working on some other things after the summer.

Ondrej

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