Probing the Standard Model with muons: new results from MEG

Article: Search for the lepton flavor violating decay μ+ → e+γ with the full dataset of the MEG experiment
Authors: MEG Collaboration
Reference: arXiv:1605.05081

I work on the Muon g-2 experiment, which is housed inside a brand new building at Fermilab.  Next door, another experiment hall is under construction. It will be the home of the Mu2e experiment, which is slated to use Fermilab’s muon beam as soon as Muon g-2 wraps up in a few years. Mu2e will search for evidence of an extremely rare process — namely, the conversion of a muon to an electron in the vicinity of a nucleus. You can read more about muon-to-electron conversion in a previous post by Flip.

Today, though, I bring you news of a different muon experiment, located at the Paul Scherrer Institute in Switzerland. The MEG experiment was operational from 2008-2013, and they recently released their final result.

Context of the MEG experiment

Figure 1: Almost 100% of the time, a muon will decay into an electron and two neutrinos.

MEG (short for “mu to e gamma”) and Mu2e are part of the same family of experiments. They each focus on a particular example of charged lepton flavor violation (CLFV). Normally, a muon decays into an electron and two neutrinos. The neutrinos ensure that lepton flavor is conserved; the overall amounts of “muon-ness” and “electron-ness” do not change.

Figure 2 lists some possible CLFV muon processes. In each case, the muon transforms into an electron without producing any neutrinos — so lepton flavor is not conserved! These processes are allowed by the standard model, but with such minuscule probabilities that we couldn’t possibly measure them. If that were the end of the story, no one would bother doing experiments like MEG and Mu2e — but of course that’s not the end of the story. It turns out that many new physics models predict CLFV at levels that are within range of the next generation of experiments. If an experiment finds evidence for one of these CLFV processes, it will be a clear indication of beyond-the-standard-model physics.

Figure 2: Some examples of muon processes that do not conserve lepton flavor. Also listed are the current/upcoming experiments that aim to measure the probabilities of these never-before-observed processes.

Results from MEG

The goal of the MEG experiment was to do one of two things:

  1. Measure the branching ratio of the μ+ → e+γ decay, or
  2. Establish a new upper limit

Outcome #1 is only possible if the branching ratio is high enough to produce a clear signal. Otherwise, all the experimenters can do is say “the branching ratio must be smaller than such-and-such, because otherwise we would have seen a signal” (i.e., outcome #2).

MEG saw no evidence of μ+ → e+γ decays. Instead, they determined that the branching ratio is less than 4.2 × 10^-13 (90% confidence level). Roughly speaking, that means if you had a pair of magic goggles that let you peer directly into the subatomic world, you could stand around and watch 2 × 10^12 muons decay without seeing anything unusual. Because real experiments are messier and less direct than magic goggles, the MEG result is actually based on data from 7.5 × 10^14 muons.

Before MEG, the previous experiment to search for μ+ → e+γ was the MEGA experiment at Los Alamos; they collected data from 1993-1995, and published their final result in 1999. They found an upper limit for the branching ratio of 1.2 × 10^-11. Thus, MEG achieved a factor of 30 improvement in sensitivity over the previous result.

How the experiment works

Figure 3: The MEG signal consists of a back-to-back positron and gamma, each carrying half the rest energy of the parent muon.

A continuous beam of positive muons enters a large magnet and hits a thin plastic target. By interacting with the material, about 80% of the muons lose their kinetic energy and come to rest inside the target. Because the muons decay from rest, the MEG signal is simple. Energy and momentum must be conserved, so the positron and gamma emerge from the target in opposite directions, each with an energy of 52.83 MeV (half the rest energy of the muon).1  The experiment is specifically designed to catch and measure these events. It consists of three detectors: a drift chamber to measure the positron trajectory and momentum, a timing counter to measure the positron time, and a liquid xenon detector to measure the photon time, position, and energy. Data from all three detectors must be combined to get a complete picture of each muon decay, and determine whether it fits the profile of a MEG signal event.

Figure 4: Layout of the MEG experiment. Source: arXiv:1605.05081.

In principle, it sounds pretty simple….to search for MEG events, you look at each chunk of data and go through a checklist:

  • Is there a photon with the correct energy?
  • Is there a positron at the same time?
  • Did the photon and positron emerge from the target in opposite directions?
  • Does the positron have the correct energy?

Four yeses and you might be looking at a rare CLFV muon decay! However, the key word here is might. Unfortunately, it is possible for a normal muon decay to masquerade as a CLFV decay. For MEG, one source of background is “radiative muon decay,” in which a muon decays into a positron, two neutrinos and a photon; if the neutrinos happen to have very low energy, this will look exactly like a MEG event. In order to get a meaningful result, MEG scientists first had to account for all possible sources of background and figure out the expected number of background events for their data sample. In general, experimental particle physicists spend a great deal of time reducing and understanding backgrounds!

What’s next for MEG?

The MEG collaboration is planning an upgrade to their detector which will produce an order of magnitude improvement in sensitivity. MEG-II is expected to begin three years of data-taking late in 2017. Perhaps at the new level of sensitivity, a μ+ → e+γ signal will emerge from the background!

 

1 Because photons are massless and positrons are not, their energies are not quite identical, but it turns out that they both round to 52.83 MeV. You can work it out yourself if you’re skeptical (that’s what I did).

Further Reading

  • Robert H. Bernstein and Peter S. Cooper, “Charged Lepton Flavor Violation: An Experimenter’s Guide.” (arXiv:1307.5787)
  • S. Mihara, J.P. Miller, P. Paradisi and G. Piredda, “Charged Lepton Flavor–Violation Experiments.” (DOI: 10.1146/annurev-nucl-102912-144530)
  • André de Gouvêa and Petr Vogel, “Lepton Flavor and Number Conservation, and Physics Beyond the Standard Model.” (arXiv:1303.4097)

Jets: From Energy Deposits to Physics Objects

Title: “Jet energy scale and resolution in the CMS experiment in pp collisions at 8 TeV”
Author: The CMS Collaboration
Reference: arXiv:hep-ex:1607.03663v1.pdf

As a collider physicist, I care a lot about jets. They are fascinating objects that cover the ATLAS and CMS detectors during LHC operation and make event displays look really cool (see Figure 1.) Unfortunately, as interesting as jets are, they’re also somewhat complicated and difficult to measure. A recent paper from the CMS Collaboration details exactly how we reconstruct, simulate, and calibrate these objects.

This event was collected in August 2015. The two high-pT jets have an invariant mass of 6.9 TeV and the leading and subleading jet have a pT of 1.3 and 1.2 TeV respectively. (Image credit: ATLAS public results)
Figure 1: This event was collected in August 2015. The two high-pT jets have an invariant mass of 6.9 TeV and the leading and subleading jet have a pT of 1.3 and 1.2 TeV respectively. (Image credit: ATLAS public results)

For the uninitiated, a jet is the experimental signature of quarks or gluons that emerge from a high energy particle collision. Since these colored Standard Model particles cannot exist on their own due to confinement, they cluster or ‘hadronize’ as they move through a detector. The result is a spray of particles coming from the interaction point. This spray can contain mesons, charged and neutral hadrons, basically anything that is colorless as per the rules of QCD.

So what does this mess actually look like in a detector? ATLAS and CMS are designed to absorb most of a jet’s energy by the end of the calorimeters. If the jet has charged constituents, there will also be an associated signal in the tracker. It is then the job of the reconstruction algorithm to combine these various signals into a single object that makes sense. This paper discusses two different reconstructed jet types: calo jets and particle-flow (PF) jets. Calo jets are built only from energy deposits in the calorimeter; since the resolution of the calorimeter gets worse with higher energies, this method can get bad quickly. PF jets, on the other hand, are reconstructed by linking energy clusters in the calorimeters with signals in the trackers to create a complete picture of the object at the individual particle level. PF jets generally enjoy better momentum and spatial resolutions, especially at low energies (see Figure 2).

Jet-energy resolution for calorimeter and particle-flow jets as a function of the jet transverse momentum. The improvement in resolution, of almost a factor of two at low transverse momentum, remains sizable even for jets with very high transverse momentum. (Image credit: CMS Collaboration)
Jet-energy resolution for calorimeter and particle-flow jets as a function of the jet transverse momentum. The improvement in resolution, of almost a factor of two at low transverse momentum, remains sizable even for jets with very high transverse momentum.
(Image credit: CMS Collaboration)

Once reconstruction is done, we have a set of objects that we can now call jets. But we don’t want to keep all of them for real physics. Any given event will have a large number of pile up jets, which come from softer collisions between other protons in a bunch (in time), or leftover calorimeter signals from the previous bunch crossing (out of time). Being able to identify and subtract pile up considerably enhances our ability to calibrate the deposits that we know came from good physics objects. In this paper CMS reports a pile up reconstruction and identification efficiency of nearly 100% for hard scattering events, and they estimate that each jet energy is enhanced by about 10 GeV due to pileup alone.

Once the pile up is corrected, the overall jet energy correction (JEC) is determined via detector response simulation. The simulation is necessary to simulate how the initial quarks and gluons fragment, and the way in which those subsequent partons shower in the calorimeters. This correction is dependent on jet momentum (since the calorimeter resolution is as well), and jet pseudorapidity (different areas of the detector are made of different materials or have different total thickness.) Figure 3 shows the overall correction factors for several different jet radius R values.

Jet energy correction factors for a jet with pT = 30 GeV, as a function of eta (left). Note the spikes around 1.7 (TileGap3, very little absorber material) and 3 (beginning of endcaps.) Simulated jet energy response after JEC as a function of pT (right).
Figure 3: Jet energy correction factors for a jet with pT = 30 GeV, as a function of eta (left). Note the spikes around 1.7 (TileGap3, very little absorber material) and 3 (beginning of endcaps.) Simulated jet energy response after JEC as a function of pT (right).

Finally, we turn to data as a final check on how well these calibrations went. An example of such a check is the tag and probe method with dijet events. Here, we take a good clean event with two back-to-back jets, and ask for one low eta jet for a ‘tag’ jet. The other ‘probe’ jet, at arbitrary eta, is then measured using the previously derived corrections. If the resulting pT is close to the pT of the tag jet, we know the calibration was solid (this also gives us info on how calibrations perform as a function of eta.) A similar method known as pT balancing can be done with a single jet back to back with an easily reconstructed object, such as a Z boson or a photon.

This is really a bare bones outline of how jet calibration is done. In real life, there are systematic uncertainties, jet flavor dependence, correlations; the list goes on. But the entire procedure works remarkably well given the complexity of the task. Ultimately CMS reports a jet energy uncertainty of 3% for most physics analysis jets, and as low as 0.32% for some jets—a new benchmark for hadron colliders!

 

Further Reading:

  1. “Jets: The Manifestation of Quarks and Gluons.” Of Particular Significance, Matt Strassler.
  2. “Commissioning of the Particle-flow Event Reconstruction with the first LHC collisions recorded in the CMS detector.” The CMS Collaboration, CMS PAS PFT-10-001.
  3. “Determination of jet energy calibrations and transverse momentum resolution in CMS.” The CMS Collaboration, 2011 JINST 6 P11002.