Hello. I'm Meirin and I'd like to discuss Atlas open data, in particular data
visualization and educational physics analysis to rediscover the Higgs.
To introduce, Atlas open data is about data release for education.
We provide data sets, both real and simulated, alongside tools. come in with these tools
is extensive documentation.
Office ATLAS open data are aimed at university students primarily.
Yeah, you can get an idea of some activities that students can do, including measuring
particle masses, lifetimes, cross sections, and seeing what happens when they modified
modify cuts. This poster focuses on hunting for the expos on Higgs boson so that students
can rediscover the Higgs on vest. We and thus re-win the Nobel prize.
The first tool I'd like to discuss to do this is the histogram analyzers.
If you've opened this in Adobe, you can click on it because it's a video.
So the Instagram histogram analyzers, are uh, fast web based applications, where which
students can make cuts with their mouse within maps by dragging over the different
histograms. When doing this, they see how the other histograms change and pay close
attention to the Higgs HIG significance in this bottom right right's plot.
Thus, they can search for the Higgs with only their mouse, without any coding.
Students need to only click on this link to get started.
The next tool is Jupyter notebooks, where which students can recreate the discovery of
the Higgs boson expos on by running analyses out of the box, as I'll show you.
The processing of the data is quite quick, about 10 seconds, when it's done locally.
Then there's a plotting script going to plot and m gamma gamma.
There's a data fit, background fit, main plot, some Maine clot.
So the texts that will be written on it, legend, the data minus background subplot, some
so generic features and here is the famous Higgs hex to gamma gamma peak with a bump that
can be seen around 125 GeV. June 25 GDP. Then the Chi squared is printed.
Our Jupyter notebooks are covering a variety of topics written in multiple programming
languages and cover several analyses.
Again, this link can be followed to get started.
So that's it. I look forward to discussing with you.