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Title: docs: add physics callout box for Higgs search data distribution #127 #167

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Title: docs: add physics callout box for Higgs search data distribution #127 #167

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6d1fe85
fix #127: Add physics callout box for higgs search data distributioney6
Riya-code2003 Jan 26, 2026
e53ec02
docs: update callout to include python unpacking explanation to Higgs…
Riya-code2003 Jan 27, 2026
7c0696f
Enhance challenge section on Python and physics concepts
Riya-code2003 Jan 29, 2026
2d62ee8
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Jan 29, 2026
93a24c1
Revise section titles and enhance explanations
Riya-code2003 Feb 5, 2026
da5627c
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Feb 5, 2026
ffae3ef
Fix formatting in Python Unpacking & Physics Logic section
Riya-code2003 Feb 5, 2026
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18 changes: 16 additions & 2 deletions _episodes/04-higgs-search.md
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Expand Up @@ -177,7 +177,7 @@ ax.hist(branches["data_A"]["m4l"])
{: .output}

![m4lep_histogram_1]({{ page.root }}/fig/m4lep_histogram_1.png)

@ariostas ariostas Feb 3, 2026

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Let's keep the empty line here to separate things.

@Riya-code2003 Riya-code2003 Feb 5, 2026

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Done, I have restored the empty line after the image link to maintain proper spacing.

@ariostas ariostas Feb 5, 2026

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It's still not empty. There's a >

>
> ## Exercise
>
> Make the histogram of the variable `m4l` for sample `mc_363490.llll`.
Expand Down Expand Up @@ -402,14 +402,24 @@ for k in range(0, 3):
~~~
{: .output}

And then make a plot, actually, let's make 2 plots, with matplotlib we can add sub-plots to the figure, then, we will be able to compare the MC distribution without and with weights.

@ariostas ariostas Feb 5, 2026

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I think the comma should stay

And then make a plot, actually, let's make 2 plots, with matplotlib we can add sub-plots to the figure, then we will be able to compare the MC distribution without and with weights.

```python
var_name = "m4l"
units = " [GeV]"
ranges = [[80, 170]]
bins = 24
```
> ##Python Unpacking & Physics Logic
>
> In the code `fig, (ax_1, ax_2) = plt.subplots(1, 2)`, we use 'tuple unpacking'.
> This is a very common pattern in Python when a function returns multiple values.
> Here, `subplots` returns a figure object and an array of axes. We "unpack" them
> into two separate variables, `ax_1` and `ax_2`, so we can plot different
> distributions side-by-side.
{: .callout}



```python
fig, (ax_1, ax_2) = plt.subplots(1, 2)
Expand Down Expand Up @@ -497,6 +507,10 @@ ax.legend(fontsize=18, frameon=False)
```

![m4lep_histogram_5]({{ page.root }}/fig/m4lep_histogram_5.png)

>

@ariostas ariostas Feb 5, 2026

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Let's also remove the > here. And let's just leave one empty line.



> ## Exercise
>
> Modify a bit the previous code to include the ticks and text, in the text and axis labels use latex to achieve the final plot.
Expand Down