fixing broken episodes, setup and image

Author: guptaharshul24

_episodes/01-introduction.md

@@ -3,16 +3,16 @@ title: "Introduction"
 teaching: 15
 exercises: 0
 questions:
-- "What is the physics motivation for measuring $B_s^0 \to \mu^+\mu^-$?"
+- 'What is the physics motivation for measuring $B_s^0 \to \mu^+\mu^-$?'
 - "What is the overall analysis strategy?"
 objectives:
-- "Understand why $B_s^0 \to \mu^+\mu^-$ is a sensitive probe of new physics."
+- 'Understand why $B_s^0 \to \mu^+\mu^-$ is a sensitive probe of new physics.'
 - "Know the key ingredients of the branching fraction measurement."
 - "Understand the role of the normalization channel."
 keypoints:
-- "$B_s^0 \to \mu^+\mu^-$ is a FCNC decay heavily suppressed in the SM — new physics can enhance it."
+- '$B_s^0 \to \mu^+\mu^-$ is a FCNC decay heavily suppressed in the SM — new physics can enhance it.'
 - "The branching fraction is extracted from a simultaneous fit across BDT categories."
-- "$B^+ \to J/\psi K^+$ serves as the normalization channel to cancel many systematic uncertainties."
+- '$B^+ \to J/\psi K^+$ serves as the normalization channel to cancel many systematic uncertainties.'
 ---
 
 ## Physics motivation

_episodes/02-signal-mc-fit.md

@@ -3,15 +3,15 @@ title: "Signal MC Fit"
 teaching: 10
 exercises: 40
 questions:
-- "How do we model the $B^+ \to J/\psi K^+$ signal peak?"
+- 'How do we model the $B^+ \to J/\psi K^+$ signal peak?'
 - "How do we apply MC-derived shape parameters to data?"
 objectives:
-- "Fit a double Gaussian model to $B^+ \to J/\psi K^+$ MC."
+- 'Fit a double Gaussian model to $B^+ \to J/\psi K^+$ MC.'
 - "Understand mean shift and resolution scale corrections."
 - "Fit the full signal+background model to data."
 keypoints:
 - "The signal shape is fixed from MC, with a floating mean shift and resolution scale fitted in data."
-- "The combinatorial background uses an exponential; the $J/\psi^+X$ tail uses an error function."
+- 'The combinatorial background uses an exponential; the $J/\psi^+X$ tail uses an error function.'
 ---
 
 ## Task 2.1 — Double Gaussian fit to MC (category 0)

_episodes/03-normalization.md

@@ -3,16 +3,16 @@ title: "Normalization Channel"
 teaching: 10
 exercises: 30
 questions:
-- "How do we fit the normalization channel $B^+ \to J/\psi K^+$?"
-- "How do we extract the $B^+ \to J/\psi K^+$ yield and efficiency?"
+- 'How do we fit the normalization channel $B^+ \to J/\psi K^+$?'
+- 'How do we extract the $B^+ \to J/\psi K^+$ yield and efficiency?'
 - "How do we compute the fs/fu production fraction ratio?"
 objectives:
-- "Fit the $B^+ \to J/\psi K^+$ data and MC to extract signal yield and shape parameters."
-- "Fit the $B_s \to J/\psi\phi$ channel to extract the Bs yield."
+- 'Fit the $B^+ \to J/\psi K^+$ data and MC to extract signal yield and shape parameters.'
+- 'Fit the $B_s \to J/\psi\phi$ channel to extract the Bs yield.'
 - "Compute fs/fu from the ratio of the two channel yields."
 keypoints:
-- "The normalization channel $B^+ \to J/\psi K^+$ cancels many systematic uncertainties."
-- "fs/fu is measured from data using $B_s \to J/\psi\phi$ and $B^+ \to J/\psi K^+$."
+- 'The normalization channel $B^+ \to J/\psi K^+$ cancels many systematic uncertainties.'
+- 'fs/fu is measured from data using $B_s \to J/\psi\phi$ and $B^+ \to J/\psi K^+$.'
 ---
 
 ## Task 3.1 — $B^+ \to J/\psi K^+$ normalization fit

index.md

@@ -35,7 +35,7 @@ To find new Physics.
 The exercise is performed on data collected during Run 2. 
 
 ### Facilitators CMSDAS LPC 2026
-<img src="fig/loading_circles_set.jpg" alt="" style="width:60%; height:200px">">
+<img src="fig/loading_circles_set.jpg" alt="" style="width:60%; height:250px">
 
  * [Chris Cosby](mailto:ccosby@fnal.gov) (FNAL)
  * Andrew Melo (Vanderbilt)

setup.md

@@ -23,56 +23,17 @@ cmsenv
 git clone git@github.com:FNALLPC/MDS_CMSDAS.git -b 2026
 cd MDS_CMSDAS 
 ~~~
-{: .language-bash}
-
-
-The following commands one has to do it *everytime you log in into a new session*. They load the
-environment and the packages needed for the exercises and open a jupyter notebook:
-~~~
-source /cvmfs/sft.cern.ch/lcg/views/LCG_105/x86_64-el9-gcc11-opt/setup.sh
-jupyter notebook --no-browser --port=8888 --ip 127.0.0.1
-~~~
-{: .language-bash}
-
-> ## Remember
-> The port number `8888` needs to match the port number you log-in to `cmslpc`.
-> 
-> If someone has taken the `8888` port on the cmslpc node, you will need to use another one. 
-{: .callout}
-
-If these two lines are running sucessfully, you should see something like this:
-~~~
-
-[I 12:55:39.283 NotebookApp] Serving notebooks from local directory: /uscms_data/d3/christiw/MDSDAS_test/CMSSW_14_1_0_pre4/src/MDS_CMSDAS
-[I 12:55:39.283 NotebookApp] Jupyter Notebook 6.4.0 is running at:
-[I 12:55:39.283 NotebookApp] http://127.0.0.1:8888/?token=230ce3a068580ce4d808fde4b44c8575ebe4ae0fbb7d4b4f
-[I 12:55:39.283 NotebookApp]  or http://127.0.0.1:8888/?token=230ce3a068580ce4d808fde4b44c8575ebe4ae0fbb7d4b4f
-[I 12:55:39.283 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
-[C 12:55:39.321 NotebookApp]
-
-    To access the notebook, open this file in a browser:
-        file:///uscms/homes/c/christiw/.local/share/jupyter/runtime/nbserver-412704-open.html
-    Or copy and paste one of these URLs:
-        http://127.0.0.1:8888/?token=230ce3a068580ce4d808fde4b44c8575ebe4ae0fbb7d4b4f
-     or http://127.0.0.1:8888/?token=230ce3a068580ce4d808fde4b44c8575ebe4ae0fbb7d4b4f
-~~~
-{: .output}
-
-Copy and paste one of the last two urls in your favorite browser and now you can continue with the lesson 1 (Episode 1).
-
 
 ## Useful tips
 
-Since we launch jupyter server frequently, you can make an `alias` for that command in your `~/.bashrc` file
+You can make an `alias` for that command in your `~/.bashrc` file
 ~~~
 alias sourcelcg='source /cvmfs/sft.cern.ch/lcg/views/LCG_105/x86_64-el9-gcc11-opt/setup.sh'
-alias launchJupyter='jupyter notebook --no-browser --port=8888 --ip 127.0.0.1'
 ~~~
 {: .language-bash}
 then you can just do 
 ~~~
 sourcelcg
-launchJupyter
 ~~~
 after you login.
 {: .language-bash}