PHYS_323 Fall Semester Course

Welcome to the PHYS_323 course for the fall semester. This repository contains notebooks that helps undergraduate students of PHYS_323 to learn about data from CMS open source and use different techniques to analyse them. These notebooks will help you understand and explore the course material effectively.

Connecting to Jupyter Lab/Notebook

For this course, we will be using Jupyter Notebook, which is useful for creating and sharing documents containing code and narrative text. There are two primary ways to access Jupyter Notebook: through the terminal and through Purdue JupyterHub. Before using either method, you need to have scholar access. Please contact the TA for this access.

Connecting through Jupyterhub

1. Obtain Scholar Access: Ensure you have scholar access by contacting the course TA.
2. Access JupyterHub:
   • Open your web browser and go to: https://notebook.scholar.rcac.purdue.edu
   • Log in using your BoilerKey username and password. In the password field, enter your BoilerKey password followed by ,push and confirm the login with Duo Mobile.

F.Y.I. You can also access terminal from here which will be seperate from the terminal in your local machine.

Connecting through terminal

1. On your local machine, open the terminal.
2. Use the following command to connect to the Scholar server:

ssh <user_name>@scholar.rcac.purdue.edu -L <port_number>:localhost:<port_number>

• Replace <user_name> with your Purdue username.
• Replace <port_number> with your chosen port number (default is 8888, but you can use any number above 8000 if 8888 is occupied). Example (assuming the username is bhanda25):

ssh [email protected] -L 8868:localhost:8868

Enter your BoilerKey password followed by ,push and confirm with Duo Mobile.

After logging in

module load anaconda

jupyter lab --port 8868

Copy the provided URL into your web browser to access Jupyter Lab. It's the best to practice to connect to a remote server via ssh-keys: https://www.rcac.purdue.edu/knowledge/scholar/accounts/login/sshkeys.

Set up Conda Environment

For the purpose of this course, we need to be able to access root files. Therefore, installing ROOT is important. However, it is very difficult to install ROOT locally. Instead, we create Conda Environment and install ROOT within it along with all the packages that are needed for this course.

I have already created Conda Environment for your use, all it remains is to link this environment with your notebook:

You can access to your scholar terminal either from your local machine or through jupyterlab, Once you are logged in:

Load anaconda module,

module load anaconda

Load a common kernel from the common area, for example, my kernel:

source activate /depot/cms/conda_envs/bhanda25/Coffea-Santosh

then register this kernel to jupyter:

python -m ipykernel install --user --name=Coffea-Santosh

Refresh your notebook then you will see this new kernel with customized conda packages

Clone this repository to have access to the github

Once the environment is set up, you are ready to clone the github repository. Please go to the terminal and do the following:

git clone https://github.com/SantoshBh137/DataMine_Fall2024_CMS.git

Each week, a new folder will be added to this GitHub repository. To get the latest changes from GitHub, follow these steps:

1. Navigate to your local repository: Open your terminal and change to the directory where your repository is cloned:

   cd /path/to/your/repository
   

Pull the latest changes: Run the following command to fetch the latest updates from GitHub:

   git pull

Now you are all set for your journey of data analysis !! Good Luck