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Charles Glover Barkla's 1911 paper describes irradiating a target with an X-ray tube and observing secondary X-rays using an electroscope. For soft Characteristic X-rays from tin, he used a soft primary beam and placed the electroscope close to the target to limit loss in air. Successive aluminium absorbers changed the gas-ionization signal. Thick absorbers suppressed the soft component; a carbon radiator supplied a comparison for the surviving scattered component. Subtracting this estimated contribution left approximately equal fractional losses through successive sheets, evidence for a nearly homogeneous component. Changing primary-beam hardness could suppress excitation of the more penetrating characteristic component.^[ref]

An electroscope reads loss of stored electric charge; ionization in its detecting gas enables discharge. An ionization chamber with an electrometer instead measures the collected electric charge or electric current. These are integrating readouts: neither directly assigns an energy to each arriving photon. The diagram separates these functions without claiming a surviving apparatus drawing.

The K and L components were distinguished by their penetrating power and dependence on the emitting chemical element. Barkla's Nobel lecture, delivered on 3 June 1920 for the 1917 prize, explains that absorber-defined K radiation had seemed homogeneous, whereas later diffraction experiments resolved neighbouring spectral lines in both K and L groups. Absorber tests therefore distinguished groups without resolving every line.^[ref]

Henry Gwyn Jeffreys Moseley subsequently related the frequencies of corresponding spectral lines to atomic number. The approximate relation $\sqrt{\nu }=a(Z-b)$, with series-dependent constants $a,b$, is Moseley's law; its discovery should be distinguished from Barkla's identification of characteristic secondary radiation.^[ref]

A continuous incident frequency spectrum can contribute a continuous scattered background alongside discrete Characteristic X-rays. Here “scattered” identifies a production process, not a universal spectral shape: scattering of a narrow incident line need not make a continuum. In particular, the characteristic component is photon emission after vacancy creation, rather than simply the primary beam redirected. Source hardness, target substitution and absorber thickness probe different parts of that distinction. A surviving signal alone establishes neither an additional electron shell nor a fully resolved spectral line.

William Lawrence Bragg introduced the plane interpretation; his father William Henry Bragg built the X-ray spectrometer. Their joint 1913 paper, The Reflection of X-rays by Crystals, reports the experiment. ^{[ref] [ref]}

An X-ray tube supplied radiation through lead slits to a crystal mounted with its cleavage face through the rotation axis. A rotating ionization chamber replaced a spectrometer telescope; electric current measured the scattered signal, and a circular scale supplied angular readings. They first scanned the chamber at fixed crystal orientation, then swept crystal and chamber together to follow the reflection. ^[ref]

Changing chamber gas checked detector dependence; readings on opposite sides checked face-setting errors. Repeated peaks with sines of half-deflections in integer ratios, together with matching absorption coefficients, distinguished repeated diffraction orders of the same wavelength from different radiation components. Comparing crystal faces constrained interplanar spacings. Their limits included slit broadening, face alignment and incomplete interception at glancing incidence; assigning absolute wavelengths still required a structural choice for $d$. ^[ref]

William Lawrence Bragg's 1913 structure paper connects a slit-selected beam, an oriented crystal and an ionization chamber to strength-versus-angle curves. Repeated sine ratios and matching absorption coefficients identify common radiation. Narrower slits resolve blended lines. Absolute wavelengths remain undetermined there; intercrystal comparisons first give relative scales. The Bragg crystal reflection experiment of 1913 covers the alignment controls.^[ref]

William Henry Bragg's 1915 Bakerian lecture, X-rays and Crystal Structure, separates the geometric and intensity arguments. Its Figure 9 compares reflection positions and strengths from three sodium chloride orientations; odd and even diffraction orders differ in strength along one orientation. The interpretation uses alternating scattering layers. Later, the calcite example identifies an internal oxygen coordinate that symmetry alone cannot fix. Improved wave intensity measurements revise a previously rough estimate. Thus a lattice assignment can precede determination of positions inside the unit cell; intensity interpretation also has experimental and theoretical limits. This is the father's 1915 lecture, distinct from the joint 1913 reflection paper.^[ref]

Walther Bothe and Herbert Becker observed penetrating radiation from beryllium struck by alpha particles before James Chadwick's interpretation.^[ref]

Irène Joliot-Curie and Frédéric Joliot found that adding material containing hydrogen increased ionization, interpreting the ejected protons as Compton scattering recoils from extremely energetic gamma rays. James Chadwick tested this interpretation against nuclear recoils in other elements.^[ref]

The counter coupled a small ionization chamber to an amplifier and oscillograph: charged particles produced ions, and the electrical signal gave a deflection. With Norman Feather, James Chadwick also observed nitrogen recoil tracks in a cloud chamber.^[ref]

The apparatus used polonium on silver facing beryllium inside an evacuable vessel. Paraffin wax before the aluminium counter window supplied recoil protons; intervening aluminium screens measured their particle range. Deflections were photographed on bromide paper. The first counter contained air; later fillings included hydrogen, helium, nitrogen, oxygen and argon. Counts with wax absent included gas recoils; wax insertion added entering protons. Thick lead between source and counter hardly changed the initial counts, testing penetration against the low background.^[ref]

The diagram separates two routes to a signal: a proton entering from the wax and a nuclear recoil created inside the chamber gas. Its lower row is a logical summary, rather than a reconstructed experimental trace. In either route the observed ionization belongs to a charged secondary particle; identifying the incident radiation requires an additional collision model.

In the February letter, a photon interpretation requiring about $52\mathrm{MeV}$ for the protons predicted only about $0.4\mathrm{MeV}$ for nitrogen recoils, below the observed ionization. Here $1\mathrm{MeV}=10^6$ electronvolts. James Chadwick proposed a neutral particle near the proton mass and the nuclear reactionThese are the letter's approximate historical values, not a modern mass determination.^[ref]

Why compare two materials? A gamma ray is a photon, so its incident momentum is $E_{\gamma }/c$, where $c$ is the speed of light. A slow massive projectile instead has momentum $mv$ and kinetic energy $m{v}^2/2$. The relationship between incoming momentum and energy therefore changes. An elastic collision model must explain the recoil endpoints for both target masses with the same incident projectile population. Calling the radiation neutral supplies no such agreement by itself.

The original measurements depended on particle range calibration, material in the path, detector response and whether a recoil was fully stopped in the sensitive gas. Large deflections alone need not specify a complete recoil energy. The calculations below expose the ideal collision assumptions behind the inference; applying them to a measured spectrum requires checking those assumptions.

A crystal X-ray spectrometer selects a narrow wavelength interval by diffraction at known interplanar spacing $d$ and Bragg angle $\theta$. For fixed diffraction order $n$, a known $d$ lets an angular measurement determine $\lambda =2d\sin \theta /n$. This reverses the crystallography problem of finding $d$ from a known wavelength.

Siegbahn's laboratory developed X-ray tubes and evacuated spectrographs for longer wavelengths. Rotating the crystal selected reflections; photographic plates recorded positions. Opposite-side exposures measured angles on both sides of the direct beam. Later tube instruments mounted a beam-defining slit opposite the plate holder. A separate double instrument compared two reflected beams with two ionization chambers. These were different instruments, not one universal assembly.^[ref]

The Nobel biography describes constant-temperature spectrographs and a precision angular scale read by diametrically opposed microscopes.^[ref] Temperature control matters because thermal expansion changes $d$; an accurately read angle cannot compensate for an unknown interplanar spacing.

The schematic separates preparation, selection and readout. An X-ray tube target supplies Characteristic X-rays with a possible bremsstrahlung background. A collimator limits incident directions; evacuation reduces air X-ray attenuation. Rotating the crystal brings different wavelengths into reflection. A photographic plate stores line positions over an exposure, whereas an ionization chamber can measure collected electric charge at successive angles. Neither readout alone establishes absolute wavelength: an angular zero, angular-scale calibration, diffraction order, $d$ and any required refraction correction enter the inference. Narrower slits reduce accepted angular spread but also reduce signal; a weak line can become harder to locate despite a narrower instrumental response.

A control reported in Siegbahn's lecture photographed a line system with copper-sulphate and calcium-sulphate crystals. Irregular relative shifts around copper's characteristic frequency supported anomalous dispersion; the arrangement excluded differing absorption across that frequency as the explanation.^[ref] A finer angular scale alone cannot remove this physical refraction correction.

Denis E. Bergeron is a NIST research chemist in its Radioactivity Group whose work concerns physical radioactive activity measurements and standards. His official profile identifies his work in that group; an author account in the Journal of Research of NIST documents the comparison of primary activity standards over several decades.^[ref][ref]

In the 2014 coauthored review, Bergeron and colleagues examined ten fluorine-18 standardizations from 1982 to 2013. A new standard differed by about 4 percent from results obtained in1998–2008. The authors compared multiple primary measurement methods and possible sources of bias, while explicitly reporting that the older discrepancy was not fully explained.^[ref]

A simple ionization chamber example shows why a calibration difference matters. Suppose measured electric current is $I=10\mathrm{pA}$ and the response model is $I=kA$. A hypothetical factor $k=2pA/MBq$ gives activity $A=5\mathrm{MBq}$. Replacing it by $1.92pA/MBq$ gives approximately $5.2083\mathrm{MBq}$ for the same current, an increase of about $4.17\%$.

These numbers are invented, not the review's calibration table. They separate the detector observation from the inferred radioactive activity. Bergeron's standards work demonstrates why cross-method comparisons and an explicit measurement uncertainty budget matter even when repeated readings are consistent.

Detector volume averaging is the spatial averaging of a nonuniform radiation field over a detector's finite sensitive region. A reading associated with the detector centre need not equal the local absorbed dose at that point. This limits spatial resolution even if the detector position and electronic readout are exact.

For an idealized linear response, let $D(\mathbf{x})$ be the absorbed dose field in the undisturbed medium and let $w(\mathbf{u})\ge 0$ be a normalized spatial weighting function, with $\int w(\mathbf{u})d\mathbf{u}=1$. Model the spatially averaged quantity byThe model separates averaging from the change in the radiation field caused by inserting the detector. A real ionization chamber can require both effects to be considered. The IAEA definition compares a point dose with the average over the detector's sensitive volume, both evaluated in water with the detector absent.^[ref]

For an original one-dimensional example, suppose the detector averages uniformly over a full width $a>0$. ThenAn ideal sharp edge $D(x)=D_{0}H(x)$, where $H$ is the Heaviside step function, is recorded asThus a $4\mathrm{mm}$ detector gives a $2.4\mathrm{mm}$ distance between the 20-percent and 80-percent response points, although the stipulated field edge has zero transition width. A $1\mathrm{mm}$ detector gives $0.6\mathrm{mm}$ in the same model.

For a smooth field, a Taylor expansion under the symmetric uniform weighting gives $\overline{D}(x)=D(x)+a^2{D}^{\prime \prime }(x)/24+O(a^4)$. A constant slope averages to its centre value; curvature produces the leading local discrepancy. A detector-volume-averaging correction factor therefore depends on the field shape and detector geometry, rather than only on the detector's nominal volume.

A proposed apparatus test scans a stable radiation field with detectors of different effective widths or orientations, keeping depth and irradiation geometry fixed. Changes in the recorded edge width test spatial response, while a uniform region checks relative sensitivity. The IAEA's geometric weighting examples show why a projected detector area may need nonuniform weighting; finer scan steps alone cannot remove averaging within each reading.^[ref]

A detector-volume-averaging correction factor converts a specified spatially averaged absorbed dose into the point value associated with that measurement. It depends on the radiation field and the detector geometry. The IAEA defines this comparison in undisturbed water, with the detector absent, so the factor isolates detector volume averaging from perturbations caused by inserting an ionization chamber.^[ref]

For a normalized nonnegative spatial weighting function $w$, letassuming the denominator is positive. Multiplication by $k_{\mathrm{vol}}$ then recovers the point value in this response model. The averaging law is developed in detector volume averaging; the correction requires additional information about the spatial field, not just one scalar detector reading.

For an original exact example, take a uniformly sensitive one-dimensional detector of full width $a$ centred at a smooth peak. Over its footprint stipulate $D(x)=D_0(1-c{x}^2)$ with $c>0$ and $c{a}^2/4<1$. Direct integration givesWith $a=4\mathrm{mm}$ and $c=0.01\mathrm{m}{\mathrm{m}}^{-2}$, the average is $0.986666\dots D_0$ and $k_{\mathrm{vol}}=75/74\approx 1.013514$. A small local under-response becomes a factor greater than one.

At a valley with $D(x)=D_0(1+c{x}^2)$ and the same parameters, the factor is instead $1/(1+c{a}^2/12)\approx 0.986842$. Thus an averaging correction need not exceed one. A uniform field gives exactly one. Reusing a peak-derived factor at a different location can therefore introduce an error.

In a proposed characterization, obtain a sufficiently resolved beam profile, account for the profiling detector's own spatial resolution, and integrate that profile with the intended detector's geometric weighting. The IAEA's geometric models explicitly distinguish different weightings across the projected detector area.^[ref] A factor derived this way addresses spatial averaging under the stated field conditions; it does not independently correct energy response, recombination or an erroneous measurement calibration.

Eduardo García-Toraño is a physicist whose work includes precision measurements of radioactive decay. His 2010 coauthored study of fluorine-18 lists an affiliation with an ionizing radiation metrology laboratory in Madrid. The experiment followed radioactive decay using three systems: ionization chambers, germanium detectors, and coincidence counting with fast scintillators. Measurements extended over as many as nine half-lives, providing several instrumental routes to the same physical parameter.^[ref]

The combined result was a half-life of $1.82871(18)\mathrm{h}$, where the parenthetical notation represents $0.00018\mathrm{h}$ in the last quoted digits. This is the result reported by that experiment; the distinction matters when comparing a historical measurement with a later evaluated half-life.^[ref]

A simple model illustrates why the long observation interval is demanding. Suppose a detector's observed event rate iswhere $\lambda$ is the radioactive decay constant and $B$ is a constant instrumental background. This illustrative model assumes stable detection efficiency and background. After nine half-lives, the decaying contribution is $R_0/512$. An initial contribution of $512$ events per second would therefore fall to just $1$ event per second: even a small background can then noticeably distort an exponential decay fit if it is omitted. Independent detector systems make a valuable comparison because their instrumental backgrounds and responses need not behave identically.

Electron-ion recombination combines a free electron with a positive ion, reducing the number of free charge carriers. The released binding energy must be carried away, for example by a photon or another particle.

In an ionization chamber, recombination before charge collection reduces the measured signal. A simplified local model has loss rate $\alpha n_e{n}_i$, with coefficient $\alpha$ depending on the species and conditions. Increasing the collection field can reduce the time available for recombination, but complete collection must be established experimentally rather than assumed from the applied voltage alone.

Fluorine-18 is a radioactive isotope of fluorine with 9 protons and 9 neutrons. It decays to oxygen-18, mainly by emitting a Positron and also by electron capture. Its approximately 110-minute half-life makes its radioactivity change appreciably over an ordinary laboratory session. It is used in positron emission tomography.^[ref]

The half-life can be measured by following the falling radioactivity, rather than by watching one nucleus wait to decay. A 2010 experiment used ionization chambers, germanium detectors and coincidence counting with fast scintillators, following decay for up to nine half-lives. The combined result was $1.82871(18)\mathrm{h}$. Comparing different detector systems tests whether the inferred decay rate depends on one measurement technique.^[ref]

For a closed sample governed only by radioactive decay, the surviving parent fraction is $N(t)/N(0)=2^{-t/T_{1/2}}$. Taking 110 minutes as an illustrative rounded half-life, 220 minutes leaves one quarter of the original fluorine-18 nuclei. Four half-lives leave $1/16$, not zero. This calculation concerns nuclear survival; movement of a labelled molecule into or out of an observed region is an additional process.

Victor Franz Hess's 1912 series used two sealed, 3-mm-walled ionization chambers with Theodor Wulf's fiber electrometers. Karl Bergwitz suggested internal plating; Günther & Tegetmeyer improved focusing. Basket-mounted ground comparisons, insulation-loss measurements, simultaneous detectors and barograph-derived heights supplied checks. The highest flight reached 5350 m; its comparisons came from Vienna and after landing, without a launch-site baseline.^[ref]

A third, thin-walled chamber admitted ambient air. Hess multiplied its readings by $750/b$, with pressure $b$ in millimeters of mercury, warning that vessel-wall contributions might violate this scaling. He recorded outside temperature but applied no absolute-temperature correction. Night flights, an eclipse and weather observations constrained alternatives to radiation from above; the eclipse argument addressed directly propagating solar radiation.^[ref]

The electrometers read gradual electric potential loss caused by continuing air ionization. The low-altitude dip and strong high-altitude rise favored an extraterrestrial contribution, without measuring proton composition.^[ref] An ionization chamber integrates electric charge: one energetic particle may create many ion pairs, several particles may contribute to one reading, and a photon can create charged particles in the gas or walls. A voltage-loss reading is therefore neither a count of primary cosmic rays nor a chemical analysis of them.

Domenico Pacini supplied independent evidence: in June 1911 he compared a copper-box-enclosed electroscope at the sea surface and 3 m underwater, more than 300 m offshore above an 8-m-deep seabed. Reduced underwater ionization, stable electrical loss between runs, and a lake comparison supported an external contribution independent of soil radioactive decay. Water provided shielding; this established a different constraint from Hess's altitude comparison.^[ref]

An ionization chamber measures ionizing radiation by collecting the electric charge that it creates in a gas. Two electrodes establish an electric field; liberated electrons and positive ions move toward opposite electrodes. In the chamber's intended operating regime the field collects the initial charge with negligible electron avalanche multiplication, distinguishing it from a proportional counter.

Varying the applied electric potential difference while holding the incident radiation fixed produces a collection curve. Too weak a field allows electron-ion recombination before collection; an approximately flat region indicates near-complete collection under those conditions. Increasing the field far enough can instead cause gas multiplication. A 2013 synchrotron radiation experiment compared free-air chambers with different electrode gaps and chopped the X-ray beam, showing that collection depends on both geometry and the temporal delivery of radiation.^[ref]

For a simple counting model, let each interacting particle create on average $n$ electron-ion pairs and let $f$ be their collected fraction. An interaction rate $r$ then gives mean electric current $I=efnr$, where $e$ is the elementary charge. This accounting explains why loss of charge can mimic a reduced incident particle flux; converting a current to absorbed dose requires additional information about energy deposition and the irradiated mass.

An elementary ionization-chamber charge-loss model makes the inference explicit. Let a positively charged electrode and its electrometer have effective capacitance $C$, electric potential difference $U$, and enclosed gas volume $\mathcal{V}$. Assume constant $C$, a short enough interval that collection conditions remain stable, and no multiplication of charge in the gas. If ionization produces $q$ ion pairs per unit volume per unit time and a fraction $\eta$ is collected, thenHere $e$ is the elementary charge and $I_{\mathrm{leak}}$ is the parasitic electric current through imperfect insulation. Each fully collected ion pair transfers one elementary charge through the measuring circuit; counting its two opposite carriers as two transfers would introduce a factor-of-two error. The relation follows from charge conservation, rather than from a model of the incoming particle's identity.

For an invented example, take $C=2.00\mathrm{pF}$, $\mathcal{V}=2.00\mathrm{L}$, $\eta =1$, a measured fall of $6.00\mathrm{V}{\mathrm{h}}^{-1}$, and a separately determined leakage-equivalent fall of $0.60\mathrm{V}{\mathrm{h}}^{-1}$. The leakage-subtracted fall is $5.40\mathrm{V}{\mathrm{h}}^{-1}$, soThis is about $1.87\times 10^4$ collected ion pairs per second throughout the chamber, not that many primary cosmic rays. Unknown collection losses make $\eta <1$ another uncertainty; changes in capacitance would require differentiating $Q=CU$ with both factors variable.

Gas density is a separate issue. Under a fixed radiation field, fixed gas composition and approximately constant energy deposited per unit gas mass, the volume-based ionization rate scales as $q\propto \rho$. For a vented ionization chamber, the ideal gas law gives the illustrative correctionwhere $T$ is absolute temperature. A pressure-only correction presumes equal temperature. A sealed rigid chamber instead fixes gas number density as it rises: its internal pressure may change with temperature without losing gas. This does not make its insulation, electrometer calibration or collection efficiency insensitive to temperature. Nor can dividing by gas density correct arbitrary radiation from the vessel walls or changing particle energies. Those are distinct effects, not a universal normalization recipe.

A medical physicist applies physics to measurement, modeling and instrumentation in medicine. Typical scientific work concerns radiation therapy, medical imaging and nuclear medicine, together with research and teaching. A medical physicist connects an instrument's readout with a defined physical quantity, tests the assumptions behind that conversion and evaluates its measurement uncertainty. The professional role includes investigating equipment performance and consulting on the physical basis of diagnosis and treatment.^[ref]

An ionization chamber illustrates the reasoning. Ionizing radiation generates mobile charges in a chamber; the collected electric charge is an instrument reading, not already an absorbed dose. In a stipulated reference setup, let $Q$ be the measured charge, $Q_0$ a matched background reading and $N$ a calibrated conversion coefficient. A simple measurement model isThe coefficient is valid only for the conditions covered by its measurement calibration. The IAEA describes the documented chain linking reference laboratories, calibrated instruments and their users; moving a coefficient into a different beam or geometry requires an appropriate justification.^[ref]

For an original arithmetic example choose $Q=101\mathrm{nC}$, $Q_0=1\mathrm{nC}$ and $N=0.050Gy/nC$. The model gives $D=5.00\mathrm{Gy}$. Ignoring that background gives $5.05\mathrm{Gy}$. These stipulated detector values illustrate background subtraction and dimensional conversion; they do not specify a treatment or a clinical beam-calibration protocol.

Suppose the corrected charge $q=Q-Q_0$ has standard uncertainty $u(q)=1\mathrm{nC}$, and independently $u(N)=0.0005Gy/nC$. First-order uncertainty propagation givesA covariance term must be included if the input estimates are correlated. The medical physicist's task includes establishing whether that model describes the actual readout, rather than just multiplying a displayed number by a remembered constant.

A water phantom provides a reproducible medium for measurement comparisons; measurements at specified positions can test a beam model without equating the test object with every patient's anatomy. In medical imaging, analogous comparisons use known geometry or material properties to assess image formation and instrument response. Repeated equipment checks test constancy, while comparison against calibrated references tests accuracy. Research, reference measurements and clinical implementation therefore involve connected scientific questions with distinct evidence.

Nobuteru Nariyama studied current saturation in ionization chambers under chopped synchrotron radiation. The experiment examines how illumination timing and charge collection affect the measured response, which matters when treating chamber current as a radiation-intensity measurement.^[ref]

Particle detection infers a particle's passage from a physical change in matter. A cloud chamber makes the spatial pattern of ionization visible; an ionization chamber instead collects electric charge from ionization. Choosing the readout determines what can be inferred from a single event.

The Richter-Ting independent J/psi discovery experiments show how different readouts can establish the same particle resonance: reconstruct daughter invariant masses after a beam hits a stationary target, or tune the initial center-of-mass energy of two colliding beams. Both require an ensemble of events and calibrated particle detectors.

A passively scattered proton therapy beam uses distinct devices to control lateral spread, range and distal shape. The lower panel of the figure gives a functional schematic; the exact ordering varies among beamlines. An energy selector or range shifter sets the maximum range. A stepped range-modulation wheel or ridge filter gives a weighted collection of proton energies, forming the spread-out Bragg peak. One or more scattering foils broaden the narrow beam; a double-scattering system can improve lateral uniformity. Ionization chambers monitor delivered fluence and position. A patient-specific aperture or collimator blocks unwanted lateral regions. A shaped range compensator makes the remaining range vary across the field, matching the distal target boundary. Their effects must be combined: lateral collimation alone cannot flatten the depth distribution, and an energy modulator alone cannot set the lateral contour.^[ref]

Radiation transports energy away from a source through propagating fields or emitted particles. Electromagnetic radiation includes radio waves, visible light, X-rays and gamma rays; alpha particles, beta particles and neutrons provide particle-radiation examples. The word alone does not specify an energy, a hazard, or a detection method.

An experiment must distinguish the incident field from its interaction with the detector. A photodetector measures a light-induced response, while an ionization chamber collects charge created in a gas. Neither instrument responds equally to every kind of radiation. Ionizing radiation is classified by its ability to remove bound electrons under the relevant interaction conditions, rather than simply by whether the source is radioactive.

Radiation detection makes interactions of ionizing radiation with matter into observable signals. An ionization chamber collects charge created in a gas; a scintillation detector converts deposited energy into light; a semiconductor detector measures charge carriers created in a solid. The instrument detects interactions, so its response depends on radiation type, energy and geometry.

For an ideal counting model, expected detected events satisfy $N=\epsilon Rt$, where $R$ is the relevant incident event rate, $t$ is observation time and $\epsilon$ is detection efficiency. Background adds counts, while dead time can lose them. Estimating a source's radioactive activity therefore requires calibration and a model of emissions and transport, rather than equating the displayed count rate with decay rate.