Citizen science on Hive - Deciphering top quark production at CERN’s Large Hadron Collider

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(Edited)

The end of the semester three weeks ago, my trip to MIT two weeks ago and a workshop in Lyon earlier this week delayed a bit my regular posting activities, and of course our citizen science project. However, I am pleased to announce today the fourth episode of our research adventure on Hive.

During the last few weeks, we have installed several (open source) high-energy physics packages, and we have simulated 10,000 collisions describing the production of a pair of top-antitop quarks at CERN’s Large Hadron Collider (LHC). We have then reconstructed the simulated collisions in terms of higher-level objects that could be used for a physics analysis.

This week, we investigate further those simulated collisions and will ‘do some physics’. In other words, we will study the properties of what we simulated in the same way as that followed by particle physicists in their everyday life.

Before anything else, here is first a small recap of the previous episodes of our adventure.

If you just found out about this citizen science project today and are interested in it, there is still time to embark. It suffices to start with the first three episodes and the current one, taken one by one, and publish your reports on chain (with the #citizenscience tag). They will be reviewed and commented out. Moreover, I am available (both in chain and on the STEMsocial Discord server) to answer any question. Really any!


[Credits: geralt (Pixabay)]

As usual, before moving on with the main material for the exercises of this week, I acknowledge all participants to this project and supporters from our community: @agmoore, @agreste, @aiovo, @alexanderalexis, @amestyj, @darlingtonoperez, @eniolw, @firstborn.pob, @gentleshaid, @isnochys, @ivarbjorn, @linlove, @mengene, @mintrawa, @robotics101, @servelle, @travelingmercies and @yaziris. Please let me know if you want to be added or removed from this list.


The event content - task 1


As explained in details in an earlier blog, any collision (or event) in a high-energy particle collider involves hundreds of final-state particles. This makes its analysis very unpractical. Last week we discussed how to group all final-state particles into a much smaller number of higher-level objects, namely electrons, muons, taus, jets, photons and missing energy (related to the production of invisible particles such as neutrinos or dark matter).

This week we consider the analysis of those ‘reconstructed-level events. The starting point is the event file that we have produced, and that should be called myevents.lhe.gz. To analyse it, we start the MadAnalysis5 code (that I will call from now on MA5 for short) that we have downloaded last week:

cd madanalysis5
./bin/ma5
 

Then, when the prompt ma5> is displayed to the screen, we are ready to import the simulated events:

ma5> import ANALYSIS_0/Output/SAF/_defaultset/lheEvents0_0/myevents.lhe.gz as ttbar
ma5> set ttbar.xsection = 505.491
 

The first line above allows us to import the generated events (myevents.lhe.gz), and to assign to them the label ttbar. The second line tells MA5 that the production cross section associated with this event sample is 505.491 pb.

I recall two important things here. First, the path to the event sample may be different from the above example. We need to provide the exact location of the file myevents.lhe.gz (absolute and relative paths both work). Second, the cross section value that is used corresponds to the production rate computed with MG5aMC a while ago. I hope you can still access it. Otherwise, feel free to use the above value.

In the last exercise of the project’s episode 3, we asked MA5 to generate a histogram displaying the content of the reconstructed events in terms of high-level objects. Let’s redo this once more, but after setting up MA5 so that generated histograms are normalised to the amount of collisions recorded during the full run 2 of the LHC. For this we need to indicate to the code that the luminosity should correspond to 140 fb-1, in particle physics units.

ma5> set main.lumi = 140
ma5> plot NAPID
ma5> submit
ma5> open
 

The results should be similar to the image shown below, which is itself very similar to the one generated last time, except for its global normalisation.


[Credits: @lemouth]

This demonstrates that our reconstructed collisions contain a lot of b-jets (the b/b~ column), some electrons (the e+/e- column) and some muons (the mu+/mu- column), very few taus (the ta+/ta- column), some missing energy (the ve/ve~ column), really a lot of jets (the g column) and a bunch of photons (the a column). This is actually a very reasonable finding.

When produced in an LHC collision, a top-antitop pair immediately decays. Each top quark has indeed a lifetime of 10-25 second, so that it can be seen as instantaneously decaying. This decay results in the production of a b-quark and a W boson. A b-quark then gives rise to a jet of strongly-interacting particles in the reconstructed events. As this jet originates from a b quark, we call it a b-jet.

Every single simulated collision should thus produce two b-jets (one from the decay of the top quark and another from the decay of the top antiquark). However, whereas we have the possibility to identify the b-flavour of the jets, this is not a 100%-efficient process. For that reason, we obtain a large amount of b jets (the b/b~ column in the above plot), but in fact not exactly one for each produced top quark or antiquark. Some of the b-jets are then identified as light (i.e. normal) jets (and contribute to the g column in the plot above).

The two W bosons originating from the top-antitop decays also decay instantaneously. This gives rise to either one electron and one neutrino, one muon and one neutrino, a pair of light jets, or a tau lepton and a neutrino. The third of this option is much more frequent than the others, which explains why we see many non-b jets in the event content (the g column in the plot above). Moreover, many extra light jets also come from radiation (see below).

Concerning the W decays into electrons, muons and taus, they should occur with the same rate. However, whereas we can reconstruct with a very good efficiency electrons and muons, this is far from being the case for taus. We expect thus fewer taus compared with the numbers of reconstructed electrons and muons. This is what we see in the figure.


Lepton and photon multiplicity - task 2


It is striking that we have so many light jets and a significant amount of photons in the event final state. The reason is that very energetic particles radiate a lot.

These radiations are often not so energetic. Therefore, we can ‘clean’ the set of interesting objects present in our event’s final states in order to only focus on the objects that have sufficient energy to be issued from heavy stuff (the interesting events are often related to anything that is heavy). Moreover, this also make sure to use reconstructed objects of the best quality. In order to do this in our analysis, we impose that any object that has a ‘transverse momentum’ smaller than 20 GeV is ignored.

Why restricting ourselves on the transverse activity (transverse relative to the beam)? Simply because in the longitudinal direction, we don’t know what is going on. Constituents of the colliding protons are those that actually got annihilated to produce the top-antitop final state of interest. We however have no idea about the energy of these constituents. This ignorance can be bypassed by focusing on the transverse plane. In addition, 20 GeV is reasonable as a threshold for guaranteeing good quality objects in the final state.

Let’s start by considering final-state leptons (electrons, muons and their antiparticles). We implement the restriction (often called a ‘cut’) by typing the following commands in the MA5 command line interface:

ma5> define l = l+ l-
ma5> plot N(l) 5 0 5
ma5> select (l) PT > 20
ma5> plot N(l) 5 0 5
ma5> plot NAPID
ma5> resubmit
ma5> open
 

With those commands, we first define a lepton label l that equivalently stands for a muon, an electron, a positron or an antimuon. We then plot the lepton multiplicity in each event. The N symbol indicates that we want the multiplicity in some object, that is provided in parentheses. The last three arguments after the plot command indicate that we want a histogram with five bins (first 5), and ranging from 0 to 5 (last two arguments).

In a second step, we instruct the code to ignore any lepton with a transverse momentum (PT) smaller than 20 GeV (those can be considered as crappy leptons). We finally re-generate the same plot so that we could analyse the impact of the restriction. The results are shown in the image below.


[Credits: @lemouth]

We observe that most events have 0 lepton (the first bin in the left plot), as most of the time the top and antitop quarks decay into particles different from electrons and muons. Then some events have one lepton in the final state (the second bin in the first plot) and a very small number of them have 2 leptons in the final state (the third bin of the first plot).

After the selection (select (l) PT > 20), all leptons that are not so energetic are ignored from the analysis. Each event may hence see its number of leptons decreasing. This is what we observe in the plot: a migration of events from the right part to the left part of the plot.

Let’s now do the same exercise for photons (associated with the label a). We type in the MA5 shell:

ma5> plot N(a) 5 0 5
ma5> select (a) PT > 20
ma5> plot N(a) 5 0 5
ma5> resubmit
ma5> open
 

At this stage, the meaning of every command can be guessed from the information provided above. If not, feel free to ring the alarm bell in the comment section. The obtained results are given below.


[Credits: @lemouth]

We observe that the selection has the effect of removing most photons (a huge fraction of events ends in the first bin after the selection, which consists of the zero-photon bin). This is consistent with the fact that most photons originate from radiation and are thus not so energetic (or ‘soft’).


Jet multiplicity - homework 1


Knowing that the symbol for a jet is j, I let you investigate how the jet multiplicity varies after a transverse momentum selection of 25 GeV. Note that you may have to vary the bounds of the histogram with respect to what was done in the previous section. Please choose a reasonable upper limit.

Next, you can redo the exercise for b-jets (the symbol being b). Here, you should find very few variations after the selection. Do you have any idea why?

Please post your answers to those questions in your report. Extra rewards will be given to the best ones (and the first ones if identical)!


Selection of a subset of all simulated collisions - task 3


For the moment, we only focused on the multiplicity of the different objects present in the final state of the simulated collisions. We can however study their properties.

To do that, let’s first consider a subset of all generated collisions. For the sake of the example, one of the top quarks will be enforced to decay into one lepton, one neutrino and one b-jet. The other top quark will then be enforced to decay into one b-jet and two light jets.

We thus need to focus on events containing exactly one lepton (and not on any of the other events). Doing so would automatically select the topology introduced above. In practice, this is achieved by typing the following command in the MA5 shell:

ma5> select N(l)==1
 

As already said, the above selection is called a cut in our jargon. We have a large number of events and we select certain of them satisfying specific properties. We can check the information that is printed in the HTML output of the code. It is shown in the image below.


[Credits: @lemouth]

It indicates that the cut efficiency is of about 30%. This means that about 30% of all events feature exactly one lepton in the final state.

In an ideal signal and background analysis, we need to determine cuts that have a high efficiency for the signal (we keep as much signal as possible) and a small efficiency on the background (we reject as much background as possible). This exercise is often very complicated, especially for hard-to-find rare signals.


Lepton multiplicity after the cut - homework 2


It is now time to play with the code without guidance and study the effect of the above cut on the lepton multiplicity.

What do you expect as a resulting histogram? Is the output in agreement with your expectation?


Lepton properties - task 4


At this stage, we do not know any of the properties of the objects in our event. Among all the standard useful properties of a given object, we have its transverse momentum already introduced (or its energy in some sense), and its pseudo-rapidity that indicates how central an object is in a detector. A small pseudo-rapidity means a very central object and a large one means a very longitudinal one.

Let’s focus on our lepton and study its transverse momentum (PT) and the absolute value of its pseudo-rapidity (ABSETA). To do this, we type in the MA5 interpreter:

ma5> plot PT(l) 25 0 200 [logY]
ma5> plot ABSETA(l) 25 0 2.5 [logY]
ma5> resubmit
ma5> open
 

Here, we consider two histograms of 25 bins, the transverse momentum distribution ranging from 0 to 200 GeV, and the pseudo-rapidity one from 0 to 2.5. We also indicate the code to use a log scale for the y-axis.

If at this stage the code crashes, please update MA5 from GitHub (I have just fixed a bug due to a change in Matplotlib 18 months ago). A simple git pull from the MA5 installation folder should be sufficient to update the package.

The results should be similar to those in the image below.


[Credits: @lemouth]

This is neither super striking, nor surprising. But those properties are always good to check.

Now let’s move on with something more interesting. In the selected events, one of the produced top quarks decays into a lepton, a neutrino (giving rise to missing transverse energy, MET in the MA5 language) and a b-jet. The other top quark decays into two light jets and a b-jet. Since this proceeds via an intermediate W boson giving rise to the two jets, we should in principle be able to notice this intermediate decay.

In particular, if we mentally combine the two jets, the combined object should be equivalent to a W boson. Therefore, let’s investigate the mass (M) that such a combination of jets would have:

ma5> plot M(j[1] j[2]) 50 0 250 [logY]
ma5> resubmit
ma5> open
 

In the above command, we decide to focus on the two most energetic of the jets present in the event’s final state. This is why we have j[1] (the most energetic jet) and j[2] (the next to most energetic jet). Then we calculate the mass of the combination and plot it in a histogram that has 50 bins and that ranges from 0 to 250 GeV.

We should get a result similar to that shown below.


[Credits: @lemouth]

We can see here a peak around 80 GeV. This value corresponds to the mass of the W boson. Bingo! This is how we look for the presence of real intermediate particles in a process: we try to reconstruct peaks appearing in the middle of distributions.


Missing transverse energy spectrum - homework 3


As a final question for today, find a way to get the best plot for the missing transverse energy distribution and try to explain where it comes from and if the obtained histogram makes sense. Most information can be found in this post.

As usual extra rewards will be given to the best (and first) results.


Summary: deciphering top pair production at the LHC


I stop here as I think there are already enough things to do and to learn from this blog. Everything that was introduced here will be further used through the course of the project, and this in fact only consists of a kind of appetiser.

I hope you enjoyed the series of exercises proposed today, and feel free to ask for any question or clarification. As usual, please make sure to notify me when writing a report, and to use the #citizenscience tag.

Have a nice week, full of particle physics and I wish everyone good luck for the homework! I will post its solution in 2-3 weeks.



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57 comments
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Nice one. Thanks for sharing. Physics is life

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Thanks for passing by. I totally agree: physics is everything [but I am biased] ;)

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To me @lemouth @sayofunmi that’s not quite true, despite having some experimental physicists that are ingenious, their are limitation to what they might hope to accomplish

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This is why we need to think harder. What is not achievable today may become achievable tomorrow. This is however true for mostly everything ;)

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Yeah that's just the fact.. tho, everything might not seem achievable at a time but gradually

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I would even say: always gradually!

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Well that's true tho but physics still helps to get this done

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Yeah tho.. why are you biased??

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Simply because I am a physicist. Therefore, when I say that physics is great... well... by definition I cannot be objective ;)

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Great to see a new episode! And this time with homework, this is going to be interesting!

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I agree. This is the whole purpose: what will you manage to produce when the answer is not provided in advance. However, I tried to maintain the level not too high (baby step by baby step) :)

In other words, this will be funny :D

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are you sure is ./bin/madanalysis5 and not ./bin/ma5?

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You are correct!

Thanks for pointing this out. This is fixed (the same copy pasting error again and again ;) ).

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Art mandalay... quantum physicist

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Mandalay? I am sorry but I didn't get that one... Google tells me that it is a city in Myanmar ^^

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I'm having difficulty understanding the article...

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Hello @lemouth, and all citizen scientists who are participating in this project. I haven't been commenting on the posts because I feel bad about not being able to participate, but there is no way I could fulfill the requirements. The computer code is dizzying for me. However, I find these reports and the concept exciting.

I think this project represents the best we can expect from a decentralized, community project with global reach. The project is visionary and the participants are pioneers, in the truest sense of the word.

Congratulations to everyone who is making this a reality. I consider myself a passive participant 🌟

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Please do not feel bad. Having support (and comments and encouragement) from non-participants is also great.

I think this project represents the best we can expect from a decentralized, community project with global reach. The project is visionary and the participants are pioneers, in the truest sense of the word.

I hope so. Let's see where it leads us! For now, the feedback is at least super positive! :)

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Thanks for your contribution to the STEMsocial community. Feel free to join us on discord to get to know the rest of us!

Please consider delegating to the @stemsocial account (85% of the curation rewards are returned).

You may also include @stemsocial as a beneficiary of the rewards of this post to get a stronger support. 
 

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OK. I just finished all the tasks and will put in my report tomorrow, hopefully. I am not sure I've got answers to the assignments but I will try and read between the lines of the post again to see if I can come up with solutions.

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I am happy to read this (and that there was no other issue except for the typo). I am looking forward to read your report, and I am especially super curious about what you will write for the assignments (this may be a better word than homework, after a second thought).

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You have received a 1UP from @lipe100dedos!

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Really interesting project! Unfortunately, I don't have time to participate in the project at the moment. But I support Citizen Science through BOINC and Gridcoin =)

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Thanks for your support to all these citizen scientific projects (I know they exist but I have never taken the time to dig into them in details; shame on me).

For the present project on Hive, an hour or two per week is in principle sufficient (you can check with @agreste, @eniolw, @gentleshaid, @isnochys, @metabs, @servelle or @travelingmercies to get more detailed information about the time it takes). I don't know if this could be a game changer for you. This depends strongly on how full your diary is. However, feel free to embark on later on. All episodes are well documented, which leaves the option to anyone to start from scratch at any moment (at least before the project is finished, which may be in 6 months or so).

Cheers!

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At this point in time I think I will just follow your progress. Maybe I can hop-in later =)

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Oh! I used Boinc for a while long time ago to use some of my computer power for SETI amd some other programs and I really find it a great idea.

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Very cool! What's the reason you don't run BOINC anymore? There are still great projects to support. For example, World Community Grid has projects on cancer research and SiDock@home is looking for drugs against covid.

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I was about to ask the same question. Let's see what the answer will be ;)

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Make france install ledger lab pros at all the data collection points so all cern data is on the blockchain. Do this with telescopes too and prove our reality . Nasa blockchain astronomy

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Many high-energy physics data is already available publicly and anyone could scrutinise them. This will further happen for the LHC and other experiments.

This is however slightly different from what we pan to do here. Our goal is not to use data, but to rely on simulations to trigger new analyses of data. We need to proceed that way because even if data will become public, this may not happen very soon for various reasons. In addition, no one is as good as the experimental collaborations themselves to analyse and understand their data. This is so complex that we need true experts (which none of us are) and investigate years into that (which is a time none of us has here). However, for simulations the situation is different and there is something we can do (and we will thus do it)!

On the other hand, I am very unsure that putting data (real ones or simulated ones) on the blockchain is the way to go. I have discussed this with a few, and the conclusions are more or less "no". Here for instance, the main blocking point is that this would be unpractical. We have instead plans to make all generated data available to everyone, open access and all of this, but not on the chain.

The key point is that it is not so easy to put GBs of files on a chain and keep their content organised (those files are successions of numbers difficult to understand without guidance, which I will provide on chain). The blockchain will be used to testify how we work, what we do, etc. But it won't be used to collect our huge simulation output.

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Cool! I'll work on this as soon as I can.

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Great! I am looking froward to read what you will find for the assignments ;)

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I've been busy and sick. I'm late with this task but I will do it.

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Don't worry, you still have at least 4-5 days before I release the results of the assignments. In the meantime, please take care. Health should be priority number #1!

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Hello my dear friend @lemouth, you have made a good summary of the previous activities and the detailed explanation of the activities taught, I note that the project is progressively advancing and those who are participating are committed, that will undoubtedly generate excellent results in each of the activities.

See you later, have a great start of the week.

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Thanks for showing your support. It is great to read messages like yours. We need both participants and a motivated crowd of supporters :)

I note that the project is progressively advancing and those who are participating are committed, that will undoubtedly generate excellent results in each of the activities.

Gradually, we move on. We are still climbing a learning curve, but slowly and surely we will be ready for the hard novel work!

Cheers, and have a nice week too!

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This set of tasks was really enjoyable for me. 😃 I was able to reproduce the plots and did some trial and error for the homework with regards to identifying what parameters of the histogram I should use to get a reasonable result, although, I am not even sure what is the right answer I'm looking for. 😅

I do have some questions as I was starting to write my progress report..

  1. In particle physics, the term event is referred as the fundamental interaction of the subatomic particles as defined in this Wikipedia article. In this project, we are working on the top-antitop pair, are the events we are concerned of limited only to the top-antitop pair interaction or it also extends to the interaction of the subatomic particles produced from their decay?

  2. This particular simulation has a number of events N = 10,000. From this histogram (left) normalized to results from the full run 2 of LHC, the number of particles produced are of magnitude x10^6 which is ~1,000,000. And in the histogram on the right, is it correct to say that it shows the number of events that produced N number (or the multiplicity) of leptons ? To follow on this, the y-axis on the histogram is also in the magnitude of x10^6, are the number of events with leptons in the final state ~1,000,000?

Thank you in advance for answering my questions, this will surely help me as I continue working on my progress report. :)

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I am glad to read that you enjoyed the exercises. It is important to keep everything as funny as possible (otherwise in my opinion we lose a lot!). I will tried to clarify and provide answers to your questions. Feel free to come back to me if needed.

In particle physics, the term event is referred as the fundamental interaction of the subatomic particles as defined in this Wikipedia article. In this project, we are working on the top-antitop pair, are the events we are concerned of limited only to the top-antitop pair interaction or it also extends to the interaction of the subatomic particles produced from their decay?

In our jargon, what is traditionally called an event is a specific collision, which could be a real one or a simulated one. We simulated 10,000 LHC collisions giving rise to top-antitop production. This means we have 10,000 simulated events.

This particular simulation has a number of events N = 10,000. From this histogram (left) normalized to results from the full run 2 of LHC, the number of particles produced are of magnitude x10^6 which is ~1,000,000. And in the histogram on the right, is it correct to say that it shows the number of events that produced N number (or the multiplicity) of leptons ? To follow on this, the y-axis on the histogram is also in the magnitude of x10^6, are the number of events with leptons in the final state ~1,000,000?

The reason is that we simulated 10,000 events, that corresponds to millions of events according to the characteristic of the machine (the full LHC operation run 2). This is why there is a difference in normalisation. In other words, one simulated event then counts for many events. This allows to get the global normalisation correctly (a 500 pb cross section times the 140/fb luminosity = 70,000,000 events).

Does it clarify?

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Yes, this answers my questions clearly. Thank you! :)

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Great! Good luck with your upcoming report! ^^

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(Edited)

Waooo , c'est très scientifique, je ne savais pas qu'on partagé toute cette science sur Hive , je passe de découverte en découverte ci jours ci.
Moi je ne partage que des posts très modestes.

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Je n'ecris qu'a propos de science sur Hive, et ce depuis quasi 6 ans.

De plus, tu peux voir que j'ecris a la fois en anglais et en francais (meme si je ne traduis que 80% de mes blogs). En general, la version francaise arrive entre quelques jours et une semaine apres la version anglaise. Je me permets de souligner ce fait, vu que tu soulevais le probleme dans ton blog poste sur laruche.

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