Update README.md

README.md

@@ -34,9 +34,11 @@ To build the generation code on PDSF, simply run `source cfg/pdsf-env.sh` from t
 
 Next, you can type `make` which should build an executable called `generate`. Because of how Geant4 works, this executable gets deposited in `$HOME/geant4_workdir/bin/Linux-g++/`, which is in your `$PATH` when the modules from `cfg/pdsf-env.sh` are loaded.	
 
-To run the generation script, run `generate -m cfg/run2.mac`. You can change generation parameters inside [`cfg/run2.mac`](https://github.com/hep-lbdl/CaloGAN/blob/master/generation/cfg/run2.mac). This will output a file called `plz_work_kthxbai.root` with a TTree named `fancy_tree`, which will contain a branch for each calorimeter cell (`cell_#`) with histograms of the energy deposited in that cell across the various shower events. The last three cells (numbered 504, 505, and 506) actually represent the overflow for each calorimeter layer. Finally, a branch called `TotalEnergy` is added for bookkeeping. 
+To run the generation script, run `generate -m cfg/run2.mac`. You can change generation parameters inside [`cfg/run2.mac`](https://github.com/hep-lbdl/CaloGAN/blob/master/generation/cfg/run2.mac) (follow [these instructions](https://geant4.web.cern.ch/geant4/UserDocumentation/UsersGuides/ForApplicationDeveloper/html/ch02s07.html)). 
 
-We provide you with a convenient script to convert the ROOT file into a more manageable HDF5 archive. The `convert.py` script is located in the `generation/` folder and can be used as follows:
+This will output a file called `plz_work_kthxbai.root` with a TTree named `fancy_tree`, which will contain a branch for each calorimeter cell (`cell_#`) with histograms of the energy deposited in that cell across the various shower events. The last three cells (numbered 504, 505, and 506) actually represent the overflow for each calorimeter layer. Finally, a branch called `TotalEnergy` is added for bookkeeping. 
+
+We provide you with a convenient script to **convert the ROOT file into a more manageable HDF5 archive**. The `convert.py` script is located in the `generation/` folder and can be used as follows:
 ```
 usage: convert.py [-h] --in-file IN_FILE --out-file OUT_FILE --tree TREE