finalprojectforme

The Higgs the data keeps on coming in The LHC, Tevatron, and CMS have all come up with encouraging conclusions on their research. Although not enough to claim discovery, these conclusions are very supportive of the Higgs theory. Another boost comes from the relative differences between these machines, and gives us a good outlook on the eventual discovery of the illusive Boson. An exciting time indeed.

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Here using the w to e mu data set I decided to test drive the new visualization and graphing, platform we recently acquired. It has no name quite yet though. Anyways I used the vaulue of E 1 and compared it to the E 1 of the Z to 2mu dataset. Here we see a peak around the 7.5 area. This actually ended up being a very comparison to make due to the complete difference between the data sets I chose. Here is the second set.

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I did end up really liking this visualization program that we used though. It is very barebones just a slider or two. However, the ability to use those sliders to manipulate and narrow down on the variables is a very useful function. It is almost as good as Many Eyes.

Simple Particle Physics

I have been having trouble remembering the basics of the particles, namely the particles themselves. So I have decided to list them out here, because I thought it would be a lot more convenient that staring at the building blocks poster in the lab.

Leptons- light particles, weightless hadrons as in hadronic colliders (LHC)- made up of 3 particles Charm is an up and is heavy j/psi is charm and anti charm upsilon- B bar and B an anti B Pi-ons up and down found at the same time otherwise known as protons mesons are made of quarks of two different types of quarks



These are the two datasets that we are now working with. We will break the data down into observable numbers, analyze, and generally use a lot of spreadsheet programs on them.



This is the data histogram using bin sizes of tens, it is not accurate enough for our purposes. We will have to go much smaller to be precise.



Same data with histogram bins of 5. You can see much more detail within the data, and it provides much more information on the data and events. Still a little to broad, we need to go a little smaller



This is a histogram using bins of 2, and it is perfect. It shows us good detail without being overloaded with very small fluctuations within the data. It gives both a more precise look, but conserves the general view.

These were all created using some Excel wizardry courtesy of a certain Mr. Antonelli, Graphical Analysis, and some common sense with basic electron and Muon knowledge.



This is an experiment using the graphical analysis' fit tool. We used the Gaussian option to find the peak frequency, the median, and other variables that come along with a Gaussian curve. The testing came in trying to decide just how much data to include in each Gaussian fit. The top left is just the large peak taken into account, the top right is a slightly expanded version of the previous, and the bottom right is the entire data set.