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Cosmic Ray Muons and the Muon Lifetime Experiment CRM University of Florida — Department of Physics PHY4803L — Advanced Physics Laboratory Objective Four scintillation paddles and coincidence techniques are used to determine the overall flux and angular distribution of cosmic ray muons. The muon lifetime is measured us- ing rare events where, after passage of a muon into a scintillator is detected, its decay is also detected a short time later. The distribution of the decay times provides information about the average muon lifetime. Statistical uncer- tainties appropriate for Poisson variables are employed throughout the experiment. Introduction Cosmic rays are high-energy particles—mostly protons and alpha particles with a small frac- tion of heavier nuclei and other subatomic par- ticles such as electrons, positrons and antipro- tons. Their origins in supernovae, quasars, and other exotic astronomical events and how they acquire their sometimes colossal energy (over 10 20 eV) is a topic of current research. Cosmic ray muons are created when cos- mic rays enter earth’s atmosphere where they eventually collide with an air molecule and ini- tiate a hadronic shower—a cascade of particles (mostly pions) that may undergo further nu- clear reactions. Neutral pions (π 0 ) decay in into two gamma rays with a very short life- time less than 10 -17 s, which in turn gener- ate electromagnetic showers (e + , e - , γ ) that are not very penetrating. Charged pions (π + , π - ) that do not undergo further nuclear re- actions will decay in-flight into muons (μ + , μ - ) and neutrinos (ν μ , ν μ ): π + μ + + ν μ , π - μ - + ν μ with a lifetime of 26 nanosec- onds. Both the muon and its corresponding neutrino are classified as leptons—particles that do not participate in nuclear reactions. The neutrinos have an extremely tiny capture cross-section, and typically pass through the Earth without any further interactions. Muons were discovered in cosmic rays by C. Anderson and S.H. Neddermeyer in 1937. There are two kinds of muon, the negative μ - and its antimatter partner, the positive μ + . They are essentially heavy versions of the elec- tron and its antimatter partner, the positron, having the same spin and charge, but with a mass m μ = 105.66 MeV/c 2 approximately 207 times larger than the electron. Muons are unstable—decaying into an electron or positron and two neutrinos: μ + e + +ν e + ν μ , μ - e - + ν e + ν μ with an average lifetime τ μ =2.197 μs—about 100 times longer than that of the charged pion. Because the muon undergoes a 3-body de- cay, the kinetic energy of the emitted electron or positron is not fixed but has a broad distri- bution of values with a maximum (endpoint energy) of 53 MeV in the rest frame of the muon. This kind of energy spectrum is similar CRM 1

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Cosmic Ray Muons and the Muon Lifetime

Experiment CRM

University of Florida — Department of PhysicsPHY4803L — Advanced Physics Laboratory

Objective

Four scintillation paddles and coincidencetechniques are used to determine the overallflux and angular distribution of cosmic raymuons. The muon lifetime is measured us-ing rare events where, after passage of a muoninto a scintillator is detected, its decay is alsodetected a short time later. The distributionof the decay times provides information aboutthe average muon lifetime. Statistical uncer-tainties appropriate for Poisson variables areemployed throughout the experiment.

Introduction

Cosmic rays are high-energy particles—mostlyprotons and alpha particles with a small frac-tion of heavier nuclei and other subatomic par-ticles such as electrons, positrons and antipro-tons. Their origins in supernovae, quasars,and other exotic astronomical events and howthey acquire their sometimes colossal energy(over 1020 eV) is a topic of current research.

Cosmic ray muons are created when cos-mic rays enter earth’s atmosphere where theyeventually collide with an air molecule and ini-tiate a hadronic shower—a cascade of particles(mostly pions) that may undergo further nu-clear reactions. Neutral pions (π0) decay ininto two gamma rays with a very short life-time less than 10−17 s, which in turn gener-

ate electromagnetic showers (e+, e−, γ) thatare not very penetrating. Charged pions (π+,π−) that do not undergo further nuclear re-actions will decay in-flight into muons (µ+,µ−) and neutrinos (νµ, νµ): π+ → µ+ + νµ,π− → µ− + νµ with a lifetime of 26 nanosec-onds. Both the muon and its correspondingneutrino are classified as leptons—particlesthat do not participate in nuclear reactions.The neutrinos have an extremely tiny capturecross-section, and typically pass through theEarth without any further interactions.

Muons were discovered in cosmic rays byC. Anderson and S.H. Neddermeyer in 1937.There are two kinds of muon, the negative µ−

and its antimatter partner, the positive µ+.They are essentially heavy versions of the elec-tron and its antimatter partner, the positron,having the same spin and charge, but witha mass mµ = 105.66 MeV/c2 approximately207 times larger than the electron. Muonsare unstable—decaying into an electron orpositron and two neutrinos: µ+ → e++νe+νµ,µ− → e− + νe + νµ with an average lifetimeτµ = 2.197µs—about 100 times longer thanthat of the charged pion.

Because the muon undergoes a 3-body de-cay, the kinetic energy of the emitted electronor positron is not fixed but has a broad distri-bution of values with a maximum (endpointenergy) of 53 MeV in the rest frame of themuon. This kind of energy spectrum is similar

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to nuclear beta-decay (another 3-body decay)where a neutron inside a nucleus decays into aproton, an electron, and an anti-neutrino. Infact, the neutrino’s existence was first postu-lated to explain why electrons from beta-decayare not emitted with a fixed energy as wouldbe predicted if the neutron decayed into onlya proton and electron.

Once created, the muon decay is a com-pletely random event that does not depend onits past history. The probability dP of de-cay in the next infinitesimal time interval dtis independent of how long it has lived sincecreation and is given by:

dP = Γdt (1)

where the decay rate Γ is the inverse of thelifetime: Γ = 1/τµ.

This decay process implies that the proba-bility of a muon decay in the interval from t tot+dt (given that the muon exists at t = 0) fol-lows the exponential probability density func-tion:

dPe(t) = Γe−Γtdt (2)

Here, the time t represents the time for a par-ticular decay to occur and will be called a de-cay time. In one part of this experiment, youwill measure a large sample of decay times andcompare with this exponential distribution.

Exercise 1 (a) Explain the difference be-tween dP in Eq. 1 and dPe(t) in Eq. 2. (b)Show that the expectation value for the decaytime is the lifetime: 〈t〉 = τµ. (c) Show thatthe muon “half-life” (the time at which half ofa large sample of muons will have decayed) isgiven by t1/2 = τµ ln 2.

The differential flux of cosmic ray muons(per unit time, per unit area, per unit solidangle) at the surface of the Earth is approxi-mately described by:

dN

dAdΩ dt≈ I0 cosk θ (3)

Figure 1: The solid angle Ω subtended fromthe origin of a sphere of radius R by an arbi-trary area A on the sphere is Ω = A/R2.

where θ is the polar angle with respect to ver-tical, k ≈ 2, and I0 ≈ 100 m−2sr−1s−1 at sealevel, but can vary . There is no expected de-pendence on the azimuthal angle φ. Eq. 3 isnot expected to be valid for θ > 80 wherethe Earth’s curvature becomes an importantconsideration.

Solid angle is a three-dimensional analog ofan included angle in a two-dimensional plane.Shown in Fig. 1, an arbitrary solid angle Ω canbe defined by the area A it would cover on asphere of radius R centered at the apex of thesolid angle.

Ω =A

R2(4)

Solid angles are expressed in the dimension-less units of steradian, abbreviated sr.1 One

1 The units of steradian should be dropped whereinappropriate; for example, in A = ΩR2 (from Eq. 4),the units on the left are those of area (m2) and onthe right they are solid angle times length squared(sr m2=m2).

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Cosmic Ray Muons and the Muon Lifetime CRM 3

steradian is the solid angle covered by an areaof 1 m2 on a sphere with a 1 m radius. No-tice that the solid angle for covering the entiresphere (area 4πR2) is 4π sr.

Figure 2 shows the geometry for Eq. 3.dN/dt ≈ I0 cosk θ dAdΩ would be the rate atwhich muons pass through an area dA comingfrom a polar angle θ within the solid angle dΩ.The area dA should be considered to have itsnormal along the incoming direction as shownin Fig. 2a and thus the area orientation wouldvary as θ or φ varies. Experimentally, the areaelement is sometimes fixed in the horizontalplane with the area normal oriented verticallyas in Fig. 2b. A comparison between equal ef-fective areas in the two cases is demonstratedin Fig. 2c with

dA = dA′ cos θ (5)

Thus, for an area element in a horizontalplane, Eq. 3 would be

dN

dA′dΩ dt≈ I0 cosk+1 θ (6)

where 0 ≤ θ ≤ π/2, i.e., the muons only comefrom the upper half plane.

Muons lose energy as they travel throughthe atmosphere and other materials. Themean energy loss per unit length (calledthe stopping power) for any charged particletraversing a block of matter is governed by theBethe-Bloch equation:

dE

dx= −Kz2Z

A

1

β2· (7)[

1

2ln

2mec2β2γ2T 2

max

I2− β2 − δ

2

]

Here β = v/c and γ = 1/√

1− β2 are theusual relativistic factors, Z and A are theatomic number and mass of the medium, z isthe charge of the incident particle, Tmax is the

maximum kinetic energy that may be trans-ferred to an electron in a collision, and K, I,and δ are atomic factors.

The stopping power is given as a functionof momentum for muons incident on copperin Fig. 3. For reasons to be discussed shortly,the values are in units of MeV cm2/g and mustbe multiplied by the density of copper (8.94g/cm3) to get the stopping power in MeV/cm.

The general shape of this graph is commonto charged particles other than muons. Atlow momentum, charged particles rapidly loseenergy as they ionize atoms in the mediumand the stopping power is high. The stoppingpower decreases with increasing momentumand approaches a minimum as the particle mo-mentum gets into the relativistic regime. Itthen increases only gradually from the mini-mum as the particle momentum continues toincrease.

Figure 3 can also be used for materialsother than copper. The basic principle isthat the actual energy lost (not the stoppingpower) should be roughly the same for pas-sage through different materials as long as theproduct of the travel length and the densityof the material is the same—passage throughone meter of a copper (with a density around9 g/cm3) would lead to roughly the same av-erage energy loss as passage through 9 metersof water (which has a density of 1 g/cm3).Consequently, to use Fig. 3 for another mate-rial simply multiply by that material’s densityrather than copper’s.

As long as it remains small compared to themuon kinetic energy, the actual energy loss isthen calculated as the product of the stoppingpower, the material density, and the distancetraveled in the material. The calculation be-comes more complicated if the energy loss cal-culated this way leads to a final muon energywhere the stopping power has changed signif-icantly. In this case, one would have to take

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CRM 4 Advanced Physics Laboratory

Figure 2: Muons arrive from all overhead directions (solid angles) and their flux is describedas a number per unit time per unit area per unit solid angle. In (a) the area element is orientedin the direction of the incoming muons. In (b) the area element is oriented vertically. (c) showsequivalent areas for the two cases: dA = cos θdA′

into account the energy loss in smaller slicesof the material and integrate.

Due to the randomness of individual scatter-ing events, as the muon energy decreases, an-gular scattering and variations in energy lossincrease. And, of course, at the lowest ener-gies, the muon will ultimately stop inside thematerial.

Exercise 2 Muons reaching the earth’s sur-face have an average energy around 4 GeVwith a significant but reduced flux at bothhigher and lower energies. (a) What is theaverage energy loss for a 4 GeV muon pass-ing through 1 m of air (ρ = 1.3 kg/m3)?15 km of air? 1 cm of plastic scintillator(ρ = 1.0 g/cm3)? (b) Roughly, what is thelargest muon momentum such that the muonhas a reasonable chance of stopping in 1 cmof scintillator? (Hint: Where would the en-ergy loss in one centimeter of scintillator beof the same order of magnitude as the muon’sinitial kinetic energy?)

Without the effects of Einstein’s SpecialTheory of Relativity, a muon—even if it is

moving at the speed of light—would travelonly 660 m before decaying in 2.2 µs. Very fewwould survive long enough as they travel tensof kilometers to get to the surface of the Earth.However, because of the time dilation effect ofrelativity, high-energy muons are able to travelmuch farther before decaying and many reachour detector where we can measure their fluxand angular distribution.

Exercise 3 For this exercise, assume that themuons are created in a shell 15 km above thesurface of the Earth and that the Earth is ap-proximately flat for such a shallow height. As-sume the muons start off with a uniform angu-lar distribution and that a polar angle depen-dence at sea level develops due to muon de-cay and due to the longer time of travel formuons coming from larger polar angles. (As-sume all muons have speeds near the speed oflight.) (a) If time dilation did not occur, whatfraction of the muons coming straight downwould reach the ground without decaying? De-spite the small size of this fraction, the ob-served rate at sea level might still be possibleif the creation rate in the upper atmosphere

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Cosmic Ray Muons and the Muon Lifetime CRM 5

Figure 3: The mean energy loss for muons incident on copper as a function of momentum.Taken from The Passage of Particles Through Matter by the Particle Data Group.

were high enough. (b) Still assuming time di-lation did not occur, how would this fractiondepend on θ? For example, determine the ra-tio of the cosmic ray flux at θ = 30 to thatat 0. How does this θ-dependence differ fromthat in Eq. 3?

Occasionally, a low energy muon will cometo rest in one of the scintillators where itcan then decay into an electron or a positronand two neutrinos. Negatively charged muonscan also decay inside a nucleus of one of thescintillator atoms. The µ− first displaces anatomic electron in the atom and because it is207 times more massive, its orbit is 207 timessmaller than that of the displaced electron.The muon wave function has significant prob-ability inside the nucleus where capture by a

proton is possible:

µ− + AZX → A

Z−1X + e− + νµ (8)

This muon decay converts a proton into aneutron, transmuting the nucleus and releas-ing roughly the muon rest mass energy to theneutrino, nucleus and atomic electrons. Thefinal nuclear state may also be unstable anddecay. Muon capture inside nuclei is a topicrich in experimental and theoretical physicswhich you are encouraged to explore. The neteffect is that this nuclear reaction rate adds tothe vacuum decay rate for the µ− and leadsto a shorter lifetime for negative muons. Inhigh-Z nuclei, this additional decay mode cansignificantly shorten the average muon life-time. However, the muon capture rate scalesas Z4 and in our apparatus, where the plastic

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scintillator is largely made of carbon and hy-drogen atoms, the effect is fairly small. Ourapparatus sees decays from both muon typesin roughly equal numbers with the predictionthat our data should be a sum of two exponen-tial decays with nearly equal amplitudes andlifetimes—the µ+ lifetime will be the vacuumvalue and the µ− lifetime somewhat shorter.

Particularly when the time constants areof similar size, fitting multi-exponential func-tions presents difficulties that are discussedin the literature. It turns out that the datafrom our muon lifetime experiment will be wellmodeled as a single exponential with a lifetimeparameter that will be shorter than the vac-uum value by approximately 5%.

Measurements

The first phase of the experiment is concernedwith determining the angular distribution andoverall flux of muons using four plastic scintil-lation detectors. As shown in Fig. 4, the de-tectors are arranged as two pairs—a top pairand a bottom pair. The polar angle θ (fromvertical) is illustrated in the figure and is ad-justed by rotating the detectors about a hor-izontal axis. The azimuthal angle is adjustedby rotating the apparatus on its casters abouta vertical axis.

The active volume of each paddle-shapeddetector is the rectangular slab called the scin-tillator. A specially shaped optical couplertransports light from the edge of a scintilla-tor at one end to the face of a photomultipliertube (PMT) at the other end (the cylindersin Fig. 4). Each paddle is wrapped in a light-tight material with a highly reflective film onthe inside surface.

The scintillation material is a transparentplastic doped with a fluorescent dye. Whena charged particle, such as a muon, passesthrough the material, it excites and ionizes

Figure 4: Geometric configuration of the fourscintillation detectors. The dotted lines showthe solid angle Ωt subtended by the top scin-tillator from a point on the bottom scintilla-tor. This defines the solid angle of acceptancewhen the apparatus is used in the telescopemode where muon passage through both thetop and bottom pair is measured. Not shown,the mount for the detectors allows the polarand azimuthal angles to be varied.

atoms in the scintillator medium with thefluorescent molecules there to enhance the pro-duction of photons. The decay of the ex-cited states via spontaneous emission takesonly about ten nanoseconds and the pulsewidth from the PMT is likewise of this order.Roughly one photon is created for each 100 eVof energy loss in the scintillator.

The two scintillators in a pair are mountedface to face making it highly likely that a muonpassing through one will also pass through theother. An event in which a muon passage isdetected simultaneously (within a few tens of

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Cosmic Ray Muons and the Muon Lifetime CRM 7

nanoseconds) in two scintillators is called a“double.” For a paddle pair oriented horizon-tally, the muon responsible for a double canpass into any area element in the upper scin-tillator and can be moving in almost any di-rection from straight overhead to nearly hor-izontally, i.e., from within the 2π steradiansof the upper hemisphere. For muons hittingnear the edges of a scintillator, the possiblemuon directions leading to a double becomelimited as some passage directions would notcross into the other scintillator. If the volumenear an edge—say within the thickness of thescintillator—is a small fraction of the total,this effect should be small. Our paddles havea edge fraction over 10%. Nonetheless, as afirst approximation, we will assume, in effect,that the paddles are infinitesimally thin (havean edge fraction of zero) when modeling cer-tain aspects of the apparatus. Take note whenthis assumption is being used and how it mayaffect any conclusions. It surely would havesmall systematic effects when determining theoverall muon flux.

A four-fold coincidence or “quad” event isone in which all four scintillators detect amuon passage simultaneously. Quads are rarerthan doubles because they occur only if themuon comes from a small range of solid an-gles passing through both the top and bottompair. As shown in Fig. 4, the top detector’sarea defines a solid angle of acceptance Ωt foreach area element on the bottom detector. De-termining the rate of quads as you vary thepolar angle θ provides information about theangular distribution that can be compared topredictions based on Eq. 3.

Exercise 4 Based on an approximate integra-tion of Eq. 3, explain why the rate of muonspassing through both detector pairs would bepredicted to be:

dN

dt= I0 cosk θ

AtAbR2

(9)

where the A’s are the areas of the top and bot-tom detectors and R is the separation betweenthem. Hints: Assume all θ’s can be taken asapproximately the value for the center line be-tween the detectors as shown in Fig. 4. Showhow the factor AtAb/R

2 arises from the inte-gration over area and solid angle. The factorcan be obtained choosing to integrate over thearea of either the top or bottom detector andusing the other to define the integration oversolid angle.

You will start your investigations by settingup the four detectors and determining their ef-ficiencies for detecting the passage of a muon.Photons from a muon passage are channeledthrough the optical coupler onto the cathodeof the photomultiplier tube for that paddle.Via the photoelectric effect, these photons lib-erate electrons, which are then accelerated toan energy around 100 eV onto the first PMT“dynode.” Each incident electron loses its en-ergy near the surface of the dynode and inthe process ejects around 10 electrons. Eachof these electrons is then accelerated to thenext dynode where the multiplication repeats.There are around 10 dynodes in the PMT—the last of which is called the anode. The chainof accelerations and electron ejections—calleda cascade—leads to a large pulse of chargeon the anode that raises its voltage for a fewnanoseconds before decaying away.

The pulse amplitude depends on many fac-tors. It is typically large from a muon passagewhich can induce many scintillation photons.A thermionic electron is one that randomlyjumps out of a metal overcoming the potentialbarrier associated with metal’s work functionvia its thermal energy. Such electrons emittedfrom the cathode or a dynode can also initiatea cascade, but the pulse is typically smaller.A room light photon leaking into the detec-tor can also initiate a cascade leading to a de-

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tectable pulse. All pulses not arising from amuon will be called background pulses.

Because the pulses from the PMT vary insize, they are called analog pulses. Theyare transformed into uniformly shaped digitalpulses used for computer processing by a dis-criminator module. The Phillips model 730five-channel discriminator we use has five in-dependent discriminators. Four are used—onefor each detector. A digital output pulse iscreated only if the analog input pulse heightexceeds some user-adjustable minimum, calledthe lower level threshold or LLT. The LLT isadjusted separately for each detector to elimi-nate the small background pulses which occurin large numbers.

How the LLT value affects both the rate ofpulses from the background and from muonsis one of the first investigations you will per-form. Following that, you will determine theoverall muon flux at the earth’s surface and itsangular distribution. The final investigation isto determine the muon lifetime by measuringthe distribution of time intervals between dou-ble pulses in the same detector. These are notthe coincident doubles arising from a singlemuon passing through two scintillators. Theyare time-separated pulses—the first occurringas a muon enters and stops in a scintillatorand the second when the muon later decays inthat same scintillator. The decay time is theinterval between these pulses and is predictedto vary randomly according to the exponentialdistribution discussed in the introduction.

Muon decays are rare events occurring at arate of about two per minute and consequentlyit will take overnight or longer runs to get suit-able data. Be sure to get one of these long runsstarted as soon as possible.

Data acquisition

Four counters in a National Instruments USB-6341 multifunction data acquisition module—together with a LabVIEW Muon program—process and display data about the pulses fromthe four detectors.

All four counters are started simultaneouslyat the beginning of a run and continually in-crement on each pulse from a 100 MHz clock.Thus the count in each counter at any pointin time is the same for all four counters—thetime since starting in units of 10−8 seconds (10ns).

The logic pulses directly from the discrim-inator do not have the correct voltage lev-els to drive the counters and so they arepassed through a home-made, four-channel“level adapter” before they are connected tothe corresponding counter’s gate input. Aseach pulse arrives at the gate, the clock countis latched and saved to a buffer.

The Muon program reads and saves theseclock counts or “timestamps” to a set of fourarrays—one for each detector—containingcontinually increasing timestamps giving thearrival time of each photon detected in thatchannel. Thus, if a muon passes through and“lights up” scintillators 1 and 2 simultane-ously, then the timestamp when that hap-pened would show up in the two correspondingarrays.

The timestamps do not have to be exactlythe same for the program to tag them as coin-cident. The user can adjust the allowed time-stamp separation for which a coincidence willbe recorded. Setting this “coincidence time”to 0 would mean the timestamps must be ex-actly the same. Setting it to 1 would meanthey can differ by up to 1 clock pulse (10 ns),2 would mean 20 ns, etc. You should checkhow the coincidence rate depends on the coin-cidence time but the default value of 2 should

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work well.The output signal from the level adapter has

a sharp leading edge that reliably triggers atimestamp reading with very little jitter (shotto shot time differences) relative to the truetime the muon lights up the detector. How-ever, the output signal from the level adaptershows some significant oscillations for about80 ns and often triggers a timestamp twice.The software ignores these second timestampsif they are closer than the debounce count—auser-adjustable value in clock cycles that hasa default value of 8 producing an 80 ns “deadtime” after each pulse during which a real sec-ond pulse would go undetected.

The software continually scans the fourtimestamp arrays as they fill and finds the ear-liest in each array. The earliest of these four isthen compared with the other three and anywithin the coincidence time are noted by thesoftware as detectors that fired (or lit) simul-taneously. This information is used to updatevarious counters as described next. The times-tamps of the lit detectors are then deletedfrom the arrays and the process repeats.

Based on the lit detectors, the software con-structs a four bit tag with each bit, 0-3, takingon the value of 1 or 0 depending on whetherdetector, 0-3, fired or not. There are 16 valuesfor a 4-bit datum (called a “nibble” or hex-adecimal digit). Here, the zero value (no de-tectors fired) is not used. The muon programincrements exactly one of the 15 counters as-sociated with that 4-bit tag, which can be de-scribed follows:

Independent singles: when exactly one detec-tor fires—an array of four integers for thefour detectors in the order 0, 1, 2 and 3.

Independent doubles: when exactly two de-tectors fire simultaneously—an array ofsix integers for the six pairs in the order01, 02, 03, 12, 13, 23.

Independent triples: when exactly three de-tectors fire simultaneously—an array offour integers for the four triples in the or-der 123, 023, 013, 012.

Quads: when all four detectors firesimultaneously—a single integer.

The counts above would be statistically in-dependent Poisson random variables. Theyare Poisson variables because they occur ran-domly with a fixed probability per unit timeand they are statistically independent becausethey have no counts in common.

There is a second group of counts, called“full” counts, that can be derived from andhas a one-to-one correspondence with the “in-dependent” group. For example, the full sin-gles count for detector 0 is the total num-ber of times detector 0 fired, regardless ofwhether any others fired in coincidence. Thefull triples count for detectors 0, 1, and 2would by the number of times those three firedsimultaneously whether or not detector 3 alsofired. Counts in the independent group willalways be labeled with the independent qual-ifier. Counts in the full group will not be sta-tistically independent and will normally be re-ferred to without a qualifier. In terms of thecounters in the independent group, they are:

Quads: The number of times all four detec-tors fired simultaneously—a single inte-ger. (This is the same counter as in theindependent group.)

Triples: The number of times any three de-tectors fired simultaneously—an array offour integers for the four triples in the or-der 123, 023, 013, 012. Each triples countis the sum of the corresponding indepen-dent triples plus the quads (because everyquad is also a triple for any combinationof detectors).

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CRM 10 Advanced Physics Laboratory

Doubles: The number of times each pair ofdetectors fired simultaneously—an arrayof six integers in the order 01, 02, 03, 12,13, 23. Each doubles count is the sumof the corresponding independent doublesplus the appropriate two of the four in-dependent triples (in which the double isalso included) plus the quads (because ev-ery quad is also a double for any two de-tectors).

Singles: The number of times each detectorfired—an array of four integers for thefour detectors in the order 0, 1, 2 and 3.Each singles count is the sum of the cor-responding independent singles plus threeof the six independent doubles (that in-clude the single) plus three of the fourindependent triples (that include the sin-gle) plus the quads (which always includeany single).

The full counts are not statistically indepen-dent because they have common counts. Forexample, any two triples counts have the quadcounts in common; any two singles counts havetheir corresponding doubles count in common.The covariance between any two counters isthe variance of the common counts.

Exercise 5 Consider three independent Pois-son random variables: n′1, n′2, and nc hav-ing means µ′1, µ′2, and µc, respectively. Eachsample of these three variables is used to con-struct two new variables n1 = n′1 + nc andn2 = n′2 +nc so that n1 and n2 have nc countsin common. Show that n1 and n2 will havemeans 〈ni〉 = µi = µ′i + µc and variances〈(ni − µi)2〉 = µi, for i = 1, 2 and a covari-ance 〈(n1 − µ1)(n2 − µ2)〉 = µc, i.e., equal tothe common counts.

Recall that the uncertainty of any calcu-lated quantity derived from correlated random

variables must take into account their covari-ances in addition to their variances. Exer-cise 5 shows that the variance of n1 and n2 istheir distribution’s mean and the covariance isthe mean of the distribution for the commoncounts. Also recall that “square root statis-tics” are appropriate when a sample from aPoisson distribution is greater than 30 or so.The sample value will then be close enoughto its mean to justify using that sample valueas an estimate of the variance, i.e., the uncer-tainty is the square root of the count. Thesame will be true of the covariance. If thecommon counts are greater than 30 or so, theirsample value will also be a good approxima-tion to the covariance.

Procedure

Set-up and initial measurements

1. Measure the dimensions of the scintilla-tors and the separation distance R be-tween the two pairs of detectors. Cal-culate the approximate solid angle of ac-ceptance. Calculate a rough range of θvalues for a particular orientation of thetelescope.

2. Orient the detectors vertically (θ = 0) sothat the scintillators are horizontal.

3. Have the instructor check the cable con-nections to the photomultipliers beforeturning on the high voltage. Make surethat the high voltage is set to NEGA-TIVE. The operating voltage is 2000 Vfor the photomultiplier tubes.

4. Examine the pulses from one of the PMTsusing the oscilloscope. Make sure to puta 50 Ω terminator at the oscilloscope in-put using a “tee.” Record the typicalrange of pulse heights and pulse duration

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Cosmic Ray Muons and the Muon Lifetime CRM 11

(FWHM). Can you see any cable reflec-tions in the signal after the pulse? Howdoes it change when the 50 Ω terminatoris removed?

5. Connect the four photomultiplier out-puts to the bottom four channels of thePhillips five-channel discriminator mod-ule. (The input LEMO connector on thetop channel is a bit flaky.) Make sure theinputs are in numerical order from the topdown (the cables are labeled 0-3) and thatthe switch at the bottom is set for LED,which stands for leading edge discrimina-tion. In this mode, the module puts outa short logic pulse whenever the ampli-tude of the input pulse from the PMT islarger than the LLT (lower level thresh-old). This discrimination step preventsthe processing of smaller pulses, which oc-cur in large numbers from the backgroundwith only a small number due to a muonevent. The LLT for each of the four chan-nels is set around 0.1 V but varies some-what because each detector has a some-what different response and noise level.

6. Examine the output of a discriminator us-ing the oscilloscope. You should see logicpulses with an amplitude of −1 V anda width around 80 ns. Connect the dis-criminator outputs from the top or bot-tom pair of detectors to the two inputs ofthe scope. Triggering on one, you shouldsee an occasional coincidence whenever amuon travels through both detectors.

7. Connect the output of each discriminatorin numerical order to the input (LEMOconnector) of the 4-channel level adapter.Connect the outputs (BNC connectors) ofthe level adapter to the gates of the fourcounters on the data acquisition module(labeled 0-3) in numerical order.

8. Load the Muon program and hit the Lab-VIEW run button to start it. Select a filename where the spreadsheet-compatibledata will be saved as a text file. With thedetectors still oriented vertically (θ = 0),collect data for a few minutes.

Detector efficiencies

Detector efficiencies are needed in order to de-termine the true rates at which muons passthrough the scintillators from the measuredrates. A muon passage through the scintillatorsometimes does not result in a logic pulse. Inthe next step, you will determine the efficiencyor probability for a detector to fire given thata muon passed through that detector.

The best way to determine efficiencies isto measure triples and quads over the sametime interval. Due to the detector arrange-ment, any triple is almost certain evidencethat a muon traversed through the entire tele-scope and must have passed through all fourscintillators. Thus, the fraction of the timethe fourth counter fires given the other threedid is the efficiency for that counter. For ex-ample, to determine the efficiency of counter0, you should record (over some reasonabletime interval) the full number of triples—simultaneous counts in counters 1, 2, and 3(N123) and the number of quads (N0123). Ourhypothesis is that N123 is the total numberof muons that passed through scintillator 0,whether it fired or not. Out of that manychances, N0123 is the number of times detec-tor 0 fired. The efficiency of the detector isthus

ε0 =N0123

N123

(10)

C.Q. 1 Use propagation of errors to showthat the statistical uncertainty in ε0 would then

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CRM 12 Advanced Physics Laboratory

be given by

σε0 =

√ε0(1− ε0)

N123

(11)

To apply POE directly to Eq. 10, you willneed the variances for N0123 and N123 andtheir covariance since it is nonzero. Assumethe counts are large enough to use square-rootstatistics. These two variables have the quadscount in common, so that again square rootstatistics imply the covariance between N0123

and N123 can be taken as N0123. (a) Deter-mine the uncertainty in ε0, using propagationof error on Eq. 10 including these variancesand covariance.

Alternatively, one can rewrite the formulafor ε0 in terms of the two independent counts:the quads count N0123 and the independenttriples N ′123 = N123 −N0123—triples that werenot in the quads count. The efficiency formulais then the same as Eq. 11,

ε0 =N0123

N ′123 +N0123

(12)

but now written in terms of two independentvariables with no covariance between them. (b)Use propagation of error for independent vari-ables on this equation—again using square rootstatistics.

(c) The efficiency could also be determinedby collecting the coincidence counts in the nu-merator and denominator of Eq. 10 over sep-arate but equal time intervals. In this case,N123 and N0123 would be statistically indepen-dent. Show that in this case the uncertainty inε0 would be given by

σε0 = ε0

√1

N123

+1

N0123

(13)

(d) Using simultaneously collected countsfor which Eq. 11 applies or independently col-lected counts for which Eq. 13 applies, sup-pose both gave 100 triples and 90 quads. Thus,

counter 0 has a calculated efficiency ε0 = 0.90in both cases. Determine the uncertainty forboth cases.

9. Calculate the efficiencies of all four detec-tors and check for agreement with the val-ues on the LabVIEW program tab pagelabeled Rates/Efficiencies. Once verified,feel free to use this page.

10. Deduce the true integrated rate dN/dt ofcosmic ray muons crossing the top andbottom pairs—the measured full doublesrates divided by the product of the twodetector efficiencies. Compare the cor-rected dN/dt obtained from the top andbottom pair of detectors. Your compar-isons should include a calculation of thepropagated uncertainty for each.

Adjusting the LLTs

The lower level thresholds should be set tominimize the rate of background pulses andmaximize the efficiency for detecting a muonpassage. The former requires higher LLT set-tings while the latter requires lower LLT set-tings. Thus, finding the best setting will be acompromise in achieving the two conditions.

The current LLT settings for the four detec-tors should be nearly optimized already andso it is recommended that you only adjust theLLT for one them in order to see the depen-dencies that arise. Of course, if you think it’sneeded, feel free to adjust other LLTs as wellusing the same procedure.

11. Have the instructor show you the LLT ad-justments and test points on the front ofthe discriminator module. Be sure to usethe correct sized screwdriver and don’tjam it around inside as you gently tryto mate the blade into the small slot inthe adjustment screw. The discriminator

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Cosmic Ray Muons and the Muon Lifetime CRM 13

is designed to be used with the negativeanalog pulses from the PMT. The LLTcan be set from -10 mV to -1 V via a15-turn potentiometer with the test pointvoltage ten times the actual LLT setting(-0.1 to -10 V). From here on, we will al-ways refer to the magnitude of the LLTsetting or test point and will drop the neg-ative sign.

12. As a starting reference, take a 10 minuterun and save to a file. Open the file ina spreadsheet and record settings for theLLTs on each of the four detectors as theyare now.

13. Choose one detector to check various de-pendencies on its LLT setting. Note thatthe last paddle, #3, works fine but pro-duces significantly smaller pulses than theother three. For the chosen detector, findon the Rates/Efficiencies tab page of theMuon program the indicators for (1) itssingles rate, (2) the doubles rate for thetop or bottom pair associated with thatdetector, (3) the quads rate and (4) theefficiency for this detector. In a new work-sheet, record these four variables for theten-minute run along with the LLT set-ting in a single row. Make additional rowswith this data as you vary the LLT testpoint voltage from 0.1 V to around 3.0 V.Below 1 V, use a spacing around 0.1 Vand above 1 V go in steps of around 0.2 V.Longer collections times are better, butabout 5 minutes per run should be longenough. These runs will then take 1.5-2hours to complete.

14. Graph the singles rate, the doubles rate,the quads rate, and the efficiency versusthe LLT setting. In the graph of the dou-bles rate, find the “knee”—above whichthere begins to be a significant decrease in

the rate and below which it varies muchmore slowly. An LLT setting around 50%of the value at the knee typically gives ef-ficiencies over 90% while still eliminatinga large fraction of the background singles.

C.Q. 2 Use the data from a long run (withhorizontal detectors) to answer such questionsas:

What is the approximate rate at whichmuons pass through a top or bottom scintil-lators? What is the approximate rate at whichmuons pass thorough both the top and bottomscintillators? Why is one so much smallerthan the other?

What is the rate of background pulses foreach detector? You should obviously start fromthe independent singles to eliminate countsfrom doubles, triples or quads, but you shouldalso consider the possibility that independentsingles arise not only from background pulsesbut also from muons passing through the topor bottom pair of scintillators and then one ofthe detectors fires but the other does not. Howbig a contribution does this kind of event maketo the singles rates? What fraction of the fullsingles from a detector are due to muons?

How do you account for the number of dou-bles in non-adjacent detectors, i.e., with onedetector in the top pair and one in the bot-tom pair? They are far rarer than doubles forthe two adjacent pairs (top or bottom). Mostare from triple or quad events. If these aresubtracted out, however, the remaining inde-pendent doubles are even rarer. As discussednext, some of these independent doubles aredue to random coincidences while others arisefrom a muon passage.

A random double would be created, for ex-ample, when two background pulses—one inone detector and one in the other detector—occur by chance within the coincidence time∆t. As long as ∆t is short enough, background

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CRM 14 Advanced Physics Laboratory

rates of R1 and R2 lead to a random doublesrate of R1R2∆t.2 Explain why ∆t for a coinci-dence count of two clock cycles is 50 ns. Theserandom coincidences would occur for both ad-jacent and non-adjacent detector pairs. Pro-vide an estimate for these rates. Is it a sig-nificant contribution to even the non-adjacent,independent doubles rates?

A double in non-adjacent detectors can alsoarise from a muon passing through all fourscintillators. But rather than producing a quad(if all four detectors fire) or even a triple(if one detector does not fire), an indepen-dent double will be created if exactly two de-tectors do not fire. Estimated this rate fromthe data. Is it a significant contribution to thenon-adjacent independent doubles rates? Arethere other contributions to this rate?

Angular distribution

Next, you will examine the quad rate for co-incidences in all four detectors, i.e., with theapparatus in the “telescope” mode.

15. Measure the four-fold coincidence rate asa function of θ. Be sure to record totalcounts and the acquisition time so youwill also be able to determine the uncer-tainty in any rates.

To change θ, pull out the locking pin,slowly rotate the telescope to the desiredsetting, and then release the pin makingsure it registers back into the hole. Keepan eye out for the HV and signal cablesto the photomultiplier tubes. Rotatingthe telescope brings the cables close tothe top and bottom of the mounting rack.

2 The logic behind this formula is that it is the ratein one detector, say R1, multiplied by the probabilityR2∆t (which must be small compared to 1) that theother detector pulse will occur in a time window ∆tsuch as to produce a coincidence.

Make sure they pass by cleanly. As yourotate or move the telescope, they can getsnagged on something and damage thePMT or its connectors.

Adjust the mounting rack so the tele-scope points out the window (approxi-mately east) when you are taking data fornonzero θ-values. Take measurements atconsecutive holes of the telescope. Thereis a small offset in the holes so none ofthem line up perfectly vertical or hori-zontal. Take measurements over 90 fromnear vertical (approximately straight upthrough the upper floors of the build-ing) to near horizontal (approximatelystraight out the window). For θ = 90,be sure to also record the doublescount for each paddle pair for use inC.Q. 7. Use an acquisition time at eachangle to get uncertainties smaller thanabout 10% in the quads rate. This willrequire running for a longer time at largerangles.

For a non-zero polar angle (e.g., θ = 30),the telescope can be pointed out the windowor through the building components above thelab by rotating it to points north, west andsouth. The theory suggests that the muon fluxis independent of the azimuthal angle (φ inFig. 2), but is this what you would observe?

C.Q. 3 (a) Why might your measurementsshow a dependence of the muon flux on the az-imuthal angle? For example, could the earth’smagnetic field have a steering effect? Wouldthere need to be a difference in positive andnegative muon production to see such an ef-fect? Should there be a measurable attenuationof the muons that must go through the upperfloors of the physics building when comparedwith those that must only go through the win-dow?

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Cosmic Ray Muons and the Muon Lifetime CRM 15

(b) What is the rough areal density of the at-mosphere for a polar angle of 0 (straight up).What would it be at 45? (The atmosphericareal density is the mass per unit area for acolumn all the way to the top of the atmo-sphere and should have units of kg/m2.) Itcan be obtained from the atmospheric pres-sure, (≈ 105 N/m2), the acceleration of gravity(≈ 10 m/s2) and the polar angle.(c) Concrete has a mass density of about2400 kg/m3. How thick a slab of concretewould have the same areal density as the at-mosphere?(d) The two concrete slabs above the lab havea total thickness around 25 cm. Is the build-ing’s areal density above the lab a significantfraction of the atmosphere’s?

16. Set the telescope polar angle to 30. Inthe previous step, you collected quads atthis angle with the telescope pointed eastout the window. Now, collect data atthree other azimuthal angles (every 90,approximately north, west, and south)and try to determine whether or not thereare any significant differences in the coin-cidence rates. Discuss your results.

CHECKPOINT: Procedure should becompleted through Step 10, includingthe determination of the detector effi-ciencies. C.Q. 3 should be answered.An overnight run to determine themuon lifetime should be started. (Readahead for instructions on this investiga-tion.)

Analysis of angular distribution

Make a graph of the four-fold coincidence ratedN/dt as a function of the polar angle. Equa-tion 9 predicts the true rate at which muonspass through both detector pairs and must be

corrected for experimental issues. A logicalfitting function becomes:

dN

dt= RB +R0 cosk θ (14)

where dN/dt values are the measured four-foldcoincident rates at each angle—uncorrectedfor detector efficiencies. Their standard de-viations thus depend only on the statisticaluncertainty in the counts acquired to deter-mine them. (The uncertainty in the acqui-sition time is very small and should not con-tribute significantly to any rate uncertainties.)

Compared with Eq. 9, experimental issuesrequire adding the RB term to take into ac-count background counts. Perform a properlyweighted fit of the raw dN/dt taking into ac-count statistical uncertainties only and deter-mine the best-fit values and uncertainties forRB, R0, and k. Use the fitted R0, and its rela-tionship to I0, detector geometry parameters,and detector efficiencies to get an estimate ofI0 and its uncertainty. Is k or its uncertaintyaffected by detector efficiencies or their uncer-tainties?

C.Q. 4 Use the doubles rates from a long runat θ = 0 to get another estimate of I0. Youwill need to show that the true rate of muonspassing through each pair would be predicted tobe

dN

dt= I0

2πA

k + 2(15)

[Hint: Does Eq. 3 or Eq. 6 apply? Why?The integration over area gives the factor A.The differential solid angle dΩ correspondingto differential variations in the polar and az-imuthal angles is given by dΩ = sin θ dθdφ.The integration over all solid angles in the up-per hemisphere gives the other factors.] Cor-rect for detector efficiencies to determine I0

from each pair’s measured coincidence rateand compare with the I0 obtained from the fitto the angular distribution.

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CRM 16 Advanced Physics Laboratory

C.Q. 5 How do your data support time di-lation in Special Relativity? [Hint: comparethe fitted results with the predictions of Exer-cise 3.]

Muon Lifetime

In this part of the experiment you will measurethe distribution of decay times for muons thatstop inside one of the scintillators. You willmeasure the time difference between an ini-tial PMT pulse created as a low-energy muonenters and stops inside one of the scintillatorsand a later pulse arising from the decay of thatmuon into an electron and two neutrinos.

Energy must be conserved as the muon’s 106MeV rest mass energy is transformed in thedecay. A small amount (0.511 MeV) goes intothe rest mass of the electron or positron cre-ated. Much of the energy goes undetected tothe neutrino’s kinetic energy. The energy re-lied on for detection is the kinetic energy ofthe electron or positron created in the decay.This quantity ranges up to a maximum around53 MeV but has a broad range of values be-low. Like a muon, the electron or positron ion-izes atoms inside the scintillator material andmany scintillation photons are created. Be-cause of its relatively low energy, the stoppingpower in the scintillator is relatively high andthe detection probability should be as good orbetter than it is for a muon passage.

The algorithm to find muons decaying in-side a scintillator treats each paddle pair inde-pendently. For each pair, the program looksfor a “start” event. A good choice would bea double in that pair. Most of the time, thisrepresents a muon passing completely throughboth scintillators and no decay event will befound. Rarely but measurably, however, thisstart event will be a low energy muon travers-ing the upper scintillator of a pair and stop-ping in the lower. Based on this assumption

for the start event, we should then expectthe lower scintillator to occasionally light upwithin a few microseconds when the stoppedmuon decays.

It is just about as likely that a low energymuon will stop in the upper scintillator—nevermaking it to the lower scintillator. Thus, wealso take a start event as an independent sin-gle in the upper scintillator (one not in coinci-dence with a pulse in the lower scintillator).Most of the time this start event will be abackground pulse, but in rare instances it willbe a muon stopping in the upper scintillator.In this case, we should then expect the decayscintillation to occur in the upper scintillator.

Thus, after saving the timestamp of thestart event—either a double or an independentsingle in the upper scintillator, the programswitches to looking for a stop event—a singlein the lower or upper scintillator, respectively,depending on the start event. If the programfinds a stop event, it saves the timestamp forthis event and starts looking for a new startevent.

The timestamp difference between the startand stop event then increments that channel ina 2000-bin frequency histogram. The spacingbetween bins is 1 clock cycle (10 ns). That is,if the timestamp difference is 100 clock cycles(1 µs), channel 100 in the frequency histogramis incremented.

If a stop event is not detected after 2000clock pulses (20 µs), the start pulse is ignored(no bin is incremented) and a new start pulseis sought.

17. Set the telescope to its vertical orienta-tion (θ = 0). Real muon decays andrandom coincidences occur at around oneor two per minute. Much lower or muchhigher rates probably indicate a problem.To get enough events for an analysis, col-lect data for at least 24 hours, and ideally

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Cosmic Ray Muons and the Muon Lifetime CRM 17

for several days. Processed data, not thefour timestamp arrays, are saved ev-ery 43 seconds and when you hit the stopbutton. Look at this file to see the obvi-ous pattern starting with the total time(in seconds) followed by the 15 countervalues, followed by side-by-side columnsgiving the frequencies in the top and bot-tom paddle pairs for decay times from 0to 2000 clock cycles.

Analysis of Lifetime Data

Fit the decay time histogram to a combinationof an exponential and a flat background. Thatis, the predicted mean for each histogram bini is given by:

yfiti = A+Be−ti/τ (16)

where A, B, and τ are the fitting parametersand ti is the time corresponding to the bin.The justification for this fitting function canbe found in the addendum: Muon LifetimeMeasurement with a link on the course webpage for this experiment.

Consecutive histogram bins are separatedby the clock period τ = 10 ns, which you canassume is highly accurate and should not be afactor in the error analysis for the muon life-time. As discussed in the statistical analysisbook, to perform the fit, you can either max-imize the Poisson log-likelihood function or,equivalently, use iterated least squares. Forthe latter technique, the chi-square is mini-mized with respect to A, B and τ using σ2

i

fixed at the value yfiti from the prior minimiza-

tion. The σ2i should be updated after the fit

to the new yfiti and fixed there for the next chi-

square minimization. Continue iterating untilthe yfit

i converge. When finished, calculate thefitting parameter covariance matrix or use the∆χ2 = 1 rule to determine the uncertainty inthe muon lifetime.

You will have to make sure the chi-squareor log-likelihood sum excludes the first fewchannels which will all be zero due to the de-bouncing part of the software algorithm. YOushould also exclude the two groups of channelsnear the front of the histogram which will havefrequencies well above the predictions and aredue to one or two reflections of pulses at theends of the cables. Be sure to observe thesethree time regions and note the effects above.They can be easily eliminated from the fit bystarting the sum just after the enhancementdue to the second reflection.

C.Q. 6 (a) How does your measurement ofthe muon lifetime compare to expectations?

(b) Convert the fitted background level (pa-rameter A of the fit) to a rate (by dividingby the acquisition time) and compare it witha prediction that this rate arises from randomevents not associated with muon decay.

For the prediction, treat each paddle pairseparately and add the results. Recall thatfor each pair, there are two possible start/stopevent pairs and each possibility adds a com-ponent to the background rate. Only a tinyfraction of start events will ever get a stopevent within the 20 µs limit and so the randomcomponent rate in any bin associated with ei-ther start/stop possibility is equal to the rateof start events (either a full double or an in-dependent single in the upper detector) timesthe probability for a random stop event (a fullsingle in either the lower or upper detector, re-spectively) to occur in the time interval associ-ated with that bin. The probability of a randomstop event occurring in any 10 ns bin intervalis the rate of that stop event times 10 ns.

(c) Use the fit parameters B and τ (for thehistogram sum for both paddle pairs) to de-termine the number of muons that decay inthe either scintillator of either pair. Hint:the fitted number of counts in the exponen-tial component of the histogram at any ti is

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CRM 18 Advanced Physics Laboratory

n(ti) = A exp(−ti/τ). Sum this quantity overall ti by converting the sum to an integral

∑n(ti) =

1

∆t

∑n(ti)∆t

=1

∆t

∫n(ti) dt (17)

where ∆t is the bin size. Use this number andthe acquisition time to calculate the rate ofmuons decaying in any scintillator. Expressthis rate as a fraction of the rate at whichmuons pass into either scintillator pair (thesum of the doubles rate for each pair) Thisfraction is then an estimate of the probabil-ity that a muon passing into a scintillator pairwill stop and decay in that pair.

C.Q. 7 Optional conversation question:“How often do muons decay in your body?”Or: “How often do positrons and electronsannihilate one another in your body?” Bothanswers will be a rate. Because half the muons(the µ+) decay into positrons (which thenalmost always find an electron to annihilatewith), the answer to the second question is halfthe answer to the first. Hints: Assume yourbody is a suitably-sized rectangular solid. Useyour telescope-mode doubles measurementstaken at θ = 0 (for the top rectangle) andθ = π/2 (for the side rectangles) to determinethe rate at which muons enter through the topand the four sides. Why don’t any enter fromthe bottom rectangle? Note that at θ = π/2the scintillator surface is vertical and muonswill pass though from either side. Thus, themeasured doubles rate in this orientation willbe twice the rate at which muons pass in fromone side only. The number which decay inyour body is some fraction of the numberthat enter. To estimate this fraction use theresults of C.Q. 6c, but because the muon pathswill, on average, be longer in your body thanin a paddle pair, this fraction will be a few

times larger (a factor of five, say?) for yourbody than for a paddle.

October 31, 2016