Revista Elektron, Vol. 10, No. 1, pp. 1224 (2026)
https://doi.org/10.37537/rev.elektron.10.1.237.2026
Review Article
ISSN 2525-0159
https://elektron.fi.uba.ar
12
Creative Commons License
MOS devices for dosimetry applications
Dispositivos MOS para aplicaciones de dosimetría
L. Sambuco Salomone
#1
, S. Carbonetto
#
, M. V. Cassani
#
, M. A. Garcia-Inza
#†
, E. Redin
#
, A. Faigón
#
#
Laboratorio de Física de Dispositivos - Microelectrónica, INTECIN, Facultad de Ingeniería, Universidad de Buenos Aires -
CONICET
Av. Paseo Colón 850, CABA, Argentina
Laboratorio de Nanoelectrónica, Unidad de Investigación y Desarrollo de las Ingenierías (UIDI), Universidad Tecnológica
Nacional (UTN-FRBA)
Medrano 951, CABA, Argentina
1
lsambuco@fi.uba.ar
Received: 2026-05-06 ; Accepted: 2026-06-10
AbstractThis work presents a review of metal-oxide-
semiconductor (MOS) dosimetry from its physical principles
up to the most recent developments. The limitations of MOS
dosimeters are analyzed and the usually considered solutions
are described. MOS dosimeters based on alternative
structures, such as floating gate devices, are also discussed.
Keywords: Radiation effects; MOSFET; Dosimetry.
ResumenEste trabajo presenta una revisión de la
dosimetría MOS, desde sus principios físicos hasta los
desarrollos recientes. Las limitaciones de los dosímetros MOS
son analizadas y las soluciones comúnmente empleadas son
descriptas. Dosímetros MOS basados en estructuras
alternativas, tales como dispositivos de compuerta flotante, son
también discutidos.
Palabras clave: Efectos de radiación; MOSFET; Dosimetría.
I. INTRODUCTION
The growing interest in developing increasingly smaller
satellites at ever-decreasing costs [1] has led to continuous
changes in the methods for selecting the electronic
components to be used, due to their sensitivity to ionizing
radiation present in space [2]. This radiation is mostly due
to protons (10 MeV 100 MeV) [3]-[4] and electrons
(100 keV 10 MeV) [5] trapped in the interior and outer
Van Allen belts, respectively, but also high-energy galactic
cosmic-rays, such as electrons (1 GeV 1 TeV) which
dominate for higher altitudes orbits [6]. Similarly,
estimating the radiation received by patients in medical
applications such as radiotherapy or diagnostic radiology
has resulted in increasingly stringent requirements regarding
administered dose levels, demanding uncertainties of less
than 3% for each irradiation session [7] and less than 5% for
the entire treatment [8]. Radiation sources used in medical
applications include X-ray from LINAC (425 MeV) [9],
γ-rays from
60
Co (1.17 and 1.33 MeV) [10] or
192
Ir (0.30.6
MeV) [11], and protons (70250 MeV) [12].
MOS dosimetry is based on the use of a MOSFET
transistor as an ionizing radiation sensor for dose estimation
in harsh environments by means of the progressive shift in
the threshold voltage (V
t
) as a consequence of the absorbed
dose. Compared to other alternatives, the MOS dosimeter
offers several advantages, including its small size, which
translates into high spatial resolution if a sensor array is
employed, its easy integration with readout electronics
and/or additional systems, its long data retention time,
which allows readings to be taken both during and after
irradiation, and the possibility of performing real-time
measurements.
This work presents an overview of MOS dosimetry,
including its physical principles, main characteristics,
limitations and recent developments. This work is organized
as follows. Section II describes the physics related to
radiation effects on MOS devices. Section III presents the
MOS dosimeter based on a single MOSFET transistor,
while section IV analyzes the dosimeter based on a floating-
gate (FG) structure. Finally, section VI presents the
conclusions.
II. RADIATION EFFECTS IN MOS DEVICES
When a MOS device is exposed to ionizing radiation,
different microscopic processes lead to positive charge
accumulation within the oxide and the generation of traps at
the substrate/oxide interface, as schematically shown in the
band diagram of a MOS structure with a positive bias
applied to the gate electrode in Fig. 1. This section describes
each one of these processes.
Revista Elektron, Vol. 10, No. 1, pp. 1224 (2026)
https://doi.org/10.37537/rev.elektron.10.1.237.2026
Review Article
ISSN 2525-0159
https://elektron.fi.uba.ar
13
Creative Commons License
Fig. 1. Band diagram schematic representation of the irradiation of a MOS
structure with positive gate bias. charge generation and initial
recombination, electron (blue) and hole (red) transport, hole trapping,
trapped hole neutralization through electron trapping, proton release
from a positively-charged hidrogenated defect, proton transport, and
depassivation of interface trap and release of a hydrogen molecule.
A. Generation and initial recombination
When a material is exposed to ionizing radiation, the
incident particle, whether a photon, a high-energy electron,
or a proton, deposits energy in different regions of the
structure, causing the ionization of atoms and the generation
of electron-hole pairs through various mechanisms, such as
photoelectric effect, Compton effect, pair production, and
Coulomb scattering. The occurrence of these mechanisms
depends on the type of particle, its energy, and the atomic
number of the target material. In the case of a MOS
structure, the response is dominated by what occurs within
the oxide layers, and in particular, the gate oxide. In the
typical case where the gate oxide is made of SiO
2
, the
energy required to produce an electron-hole pair is 17 eV,
so the resulting density of electron-hole pairs generated per
unit dose is g
0
= 8.1×10
12
cm
-3
rad
-1
[13]-[14].
After their generation, electrons and holes can recombine
with each other, depending on numerous factors, such as the
type of incident radiation, its energy, and the electric field.
In the case of low-energy particles or heavy electrically
charged particles, such as protons, the incident particle
leaves behind a densely populated column of generated
pairs, enabling recombination between electrons and holes
from different pairs, which can be represented by the
columnar model [13], [15]-[16]. In contrast, for high-energy
particles or light particles, such as electrons, the distance
between pairs is much greater than the initial distance
between electrons and holes in the same pair, meaning that
recombination only occurs within the same pair, as
represented by the geminate model [17]-[18]. Figure 2
shows the fraction of pairs that escape initial recombination,
known as fractional yield, as a function of electric field for
different radiation sources [19]. Although the mentioned
models are reliable, it is common to use semi-empirical
analytical expressions, which allows for a simpler analysis
of the initial recombination [20].
Fig. 2. The fraction of holes that escape initial recombination (fractional
yield) as a function of electric field for different radiation sources [19].
B. Charge transport
After escaping the initial recombination, the electrons are
drifted by the electric field, leaving the oxide in times on the
order of picoseconds [21], due to their high mobility [22]-
[23].
In contrast, holes exhibit slow, dispersive transport that
can span several decades, as shown in Fig. 3. This figure
shows the flat-band voltage (V
FB
) recovery curves at
different temperatures after a radiation pulse. The effect of
temperature modifies the timescale of the transport process,
causing the original curves to overlap when shifted in time,
a phenomenon known as universality. This type of transport
can be mathematically represented by a continuous-time
random walk (CTRW), and its physical origin may be
associated with the multiple capture in and release from
traps within the oxide [24]-[25], or with a kind of hopping
between traps, associated with tunnel transitions between
them [26]-[27].
Fig. 3. Flatband voltage recovery after pulsed electron irradiation as a
function of time for different temperatures [27].
Revista Elektron, Vol. 10, No. 1, pp. 1224 (2026)
https://doi.org/10.37537/rev.elektron.10.1.237.2026
Review Article
ISSN 2525-0159
https://elektron.fi.uba.ar
14
Creative Commons License
C. Hole capture
During their transport through the oxide, holes can be
captured by defects in a relatively stable manner, meaning
that the probability of a hole escaping the trap is sufficiently
low for the timescales typically considered in experiments.
This characteristic distinguishes this capture process from
that associated with dispersive transport, suggesting that
these traps are sufficiently separated, allowing for a low
probability of transition between them, and are located at
deep energy levels so the probability of emission into the
valence band is negligible. Hole traps are associated with
oxygen vacancies, which exhibit a dimer structure in their
neutral state before hole capture, as shown in Fig. 4(a) (top),
while they relax asymmetrically once they have captured a
hole (bottom). Several electron paramagnetic resonance
studies have shown that the densities of these positively
charged defects correlate with the density of oxide trapped
holes, confirming the physical origin of the hole traps, as
shown in Fig. 4(b) [28]-[29].
D. Interface traps generation
In addition to the capture of holes in traps within the
oxide, radiation also causes an increase in the density of
traps at the Si/SiO
2
interface. Several electron spin
resonance studies have concluded that interface traps are
associated with a defect known as a P
b
center, in which a
silicon atom forming three bonds with oxygen atoms has the
fourth bond unformed, a phenomenon known as a dangling
bond [30]-[31]. This type of defect is due to the imperfect
oxidation of the substrate, resulting in an allowed electronic
state within the semiconductor bandgap. Because they are
located at the interface, these traps can exchange charge
with the semiconductor bands, making their charge state
dependent on the applied bias. During the fabrication
process, these traps are passivated by annealing in a
hydrogen-rich environment, leading to the formation of a
Si-H bond that eliminates the electronic state within the
bandgap.
Fig. 4. (a) Oxygen vacancy before (top) and after (bottom) hole trapping.
(Silicon atoms are in black, oxygen atoms are in gray), and (b) Densities of
trapped holes and positively charged oxygen vacancies as a function of
dose [28].
The physical origin of interface traps generation during
irradiation is due to a series of processes involving
hydrogen. First, after hole capture within the oxide, some of
the traps involved are hydrogenated, leading to the
subsequent emission of a hydrogen proton (H
+
) from them.
Depending on the electric field, this proton is drifted
towards the interface with the substrate, where it interacts
with a Si-H center, depassivating it and consequently
generating an interface trap [32]-[33]. Figure 5 shows the
dependence of interface traps generation on the applied
electric field. Curve A and E correspond to experiments
performed under a positive and a negative electric field
throughout the entire time, respectively. A positive electric
field favors interface traps generation until saturation is
reached, whereas a negative electric field suppresses it. For
curves B, C, and D, a positive electric field was applied
during the 0.1 s irradiation and throughout the first 0.7 s of
post-irradiation. The electric field was then reversed and
restored to a positive value after 20, 200, and 2000 s for B,
C, and D, respectively. As shown, interface traps generation
is completely halted while the electric field is negative and
resumes only after the field is switched back to positive.
Notably, interface traps generation saturates after
approximately 2000 s. Therefore, in curve D, where the
electric field is restored to a positive value only after this
time, no additional interface traps generation is observed.
E. Effects on device characteristics
The main radiation effect on MOS devices is the shift of
the transfer characteristic curve I
DS
-V
GS
as a consequence of
hole capture within the oxide and interface traps generation,
which is represented by the variation of threshold voltage
according to the following expression


󰇛

󰇜




where q is the elementary charge, ε
ox
is the SiO
2
permittivity,
t
ox
is the oxide thickness, x is the distance from the Si/SiO
2
interface, C
ox
is the oxide capacitance, p
t
is the density of
trapped holes, and N
it
is the density of interface traps
positively charged at threshold condition.
Fig. 5. Dependence of interface traps generation on the applied electric
field for experiments where the electric field is reversed and restored at
different times after irradiation [32].
Revista Elektron, Vol. 10, No. 1, pp. 1224 (2026)
https://doi.org/10.37537/rev.elektron.10.1.237.2026
Review Article
ISSN 2525-0159
https://elektron.fi.uba.ar
15
Creative Commons License
Since the charge density in interface traps depends on the
position of the Fermi level within the bandgap, this means
that the induced V
t
-shift is not constant but depends on the
applied bias. Consequently, the increase in interface traps
density generates a change in the slope of the curve in the
subthreshold region. Figure 6 shows the evolution of the
transfer curve for different absorbed doses, where both the
shift of the entire curve and the change in its subthreshold
slope can be observed. Unlike the contribution due to holes
trapped within the oxide, the charge in interface traps at
threshold is positive for p-channel transistors, while it is
negative for n-channel transistors. This means that the
V
t
-shift in the latter has two opposing contributions, making
the evolution potentially non-monotonic.
Interface traps generation also modifies the transfer curve
because it reduces the mobility of the carriers in the channel,
as a consequence of the Coulomb interaction between them
and the charge in the traps, as shown in Fig. 7, where the
evolution with dose and time after radiation of the current
factor k (proportional to the mobility μ) and the interface
traps density N
it
is observed [34].
Fig. 6. Transfer characteristic I
DS
-V
GS
of a p-channel MOSFET before and
after γ-ray (
60
Co) 1 Mrad irradiation.
Fig. 7. Evolution of k (proportional to mobility μ) and interface traps
density N
it
as a function of absorbed dose and the time after irradiation ends
[34].
Ionizing radiation also leads to an increase in flicker
noise, characterized by a power spectral density
proportional to 1/f, where f is the signal frequency. Its
physical origin is due to fluctuations in the number of
carriers in the channel as a consequence of tunneling
transitions between the channel and the traps within the
oxide. It has been observed that the noise power correlates
very well with the V
t
-shift due to hole capture and emission
within the oxide during irradiation and subsequent
annealing, respectively [35]-[37], as shown in Fig. 8.
For sufficiently thin oxides, radiation causes an increase
in the leakage current across the gate oxide as a
consequence of an inelastic tunneling process at
low/medium electric fields involving traps within the oxide,
as has been observed for different radiation sources,
including γ rays (
60
Co) [38], electrons, X-rays, and ions
[39]-[40]. Similar to what is observed for the noise, the
increase in leakage current is strongly correlated with the
density of holes trapped within the oxide during irradiation
[41].
Fig. 8. Noise power as a function of threshold voltage shift induced by
trapped holes [36].
Fig. 9. Transfer characteristic I
DS
-V
GS
of a 0.18 μm n-channel MOSFET
for different absorbed doses [42].
Revista Elektron, Vol. 10, No. 1, pp. 1224 (2026)
https://doi.org/10.37537/rev.elektron.10.1.237.2026
Review Article
ISSN 2525-0159
https://elektron.fi.uba.ar
16
Creative Commons License
As the oxide thickness decreases, the effect of the V
t
-shift
gradually diminishes, and the hole capture within the field
oxides used to isolate adjacent devices becomes dominant
for the radiation effects on MOS devices. Since this oxide is
not grown with the same care as gate oxides, its radiation
response can be highly variable. Even if its response were
comparable to that of gate oxides, the trapped charge
density is much higher in field oxides because they are
thicker. Hole capture in these oxides leads to an increase in
standby current as a consequence of parasitic conduction
paths [42], as shown in Fig. 9.
III. MOS DOSIMETER
The MOS dosimeter was first proposed by Poch and
Holmes-Siedle in 1970 [43], and later refined by Holmes-
Siedle [44] for sensing radiation in space by tracking the
V
t
-shift, leading to the commercial MOS dosimeter known
as RADFET [45]-[49]. To estimate absorbed dose, each
dosimeter must be calibrated as dispersion of 5% was
common [50]-[51], reaching 16% for thicker oxides [52].
The standard measurement setup consists of irradiating
the device with all its terminals short-circuited and
measuring V
t
before and after irradiation, as shown in
Fig. 10(a), where the definition of V
t
is taken as the gate-to-
source voltage corresponding to a predefined reference
drain-to-source current I
REF
. In order to increase its radiation
sensitivity, it is possible to apply a bias voltage to the gate
during irradiation, as shown in Fig. 10(b). Real-time
measurements are possible if both configurations are
switched, with the device lying mostly in biasing mode and
reading V
t
periodically.
Over the years, various commercial MOS dosimeters
have appeared. Table I gives information about some of
them, considering those that have oxide thickness in the
range 300-500 nm to facilitate comparison. RADFET from
REM Oxford includes different dosimeters with oxide
thickness ranging from 120 nm up to 1.23 μm, which allows
to calibrate the sensitivity, with good linearity range up to
10 Gy, and low fading of less than one percent after ten
days [53].
Fig. 10. Simplified schematics of the measurement setup at (a) reading
mode, and (b) biasing mode.
In addition to a standard dosimeter [54]-[55], Best Medical
offers different types of dosimeters depending on the
application, such as the microMOSFET that fits in a 6 Fr
catheter and can be used to monitor the dose in
brachytherapy treatments [56], as well as the Linear 5ive
Array that allows monitoring the dose at different points for
in vivo dosimetry or beam quality assurance [57]. Varadis
presents dosimeters with nonlinear responses, whose
reading uses a calibration curve for the batch, and a
dynamic range between 1 cGy and 1 kGy for an oxide
thickness of 400 nm, and between 3 mGy and 10 Gy for an
oxide thickness of 1 μm [58]. MOSkin is a dosimeter
specially developed to be used in radiotherapy treatments
[59], showing very good linearity even for ultra-high dose
rate regime up to 35 Gy with 200 ns radiation pulses with
instantaneous dose rates as high as 2×10
9
Gy/s [60]. The
OneDose was a disposable dosimeter designed for single
use [61], widely employed during the 2000s [62]-[63],
although later discontinued.
TABLE I
COMMERCIAL DOSIMETERS
Dosimeter
V
G
[V]
S [mV/Gy]
REM Oxford RFT300 [53]
0 / 9
20 / 125
Best Medical 502RD [54]-[55]
5 / 15
100 / 300
Varadis VT01 [58]
0
65
MOSkin [59]
12
250
OneDose [61]
0
35-100
A. Temperature-induced errors
Temperature variations affect the MOSFET transfer
characteristic due to two combined effects: a shift in the
threshold voltage and a decrease in carriers’ mobility [51].
If the temperature is not controlled during dosimeter
readings, the temperature-induced V
t
-shift can be
misinterpreted as being due to the presence of radiation,
leading to an error in the dosimeter reading. In addition to
control the temperature when the dosimeter is read [64],
there are three possibilities to mitigate this type of error.
First, if the effect of temperature on V
t
is characterized, it is
possible to read the temperature during the acquisition of V
t
and apply a correction that subtracts the V
t
-shift induced by
temperature variations. Secondly, the transfer curve has a
current value at which the voltage value V
GS
is independent
of temperature, which is called the zero-temperature
coefficient current (I
ZTC
). If the reference current at which V
t
is read is set to I
ZTC
, temperature errors are expected to be
significantly reduced, as shown in Fig. 11(a). However, the
two previous options assume that the effects of temperature
on the device characteristics are stable, i.e., that they do not
change as the absorbed dose increases, but this has been
experimentally shown not to be the case [52], [64]-[65]. For
example, Fig. 11(b) shows how I
ZTC
changes due to
irradiation, making the value of V
t
sensitive to temperature
again, unless the current I
ZTC
is corrected during irradiation.
Revista Elektron, Vol. 10, No. 1, pp. 1224 (2026)
https://doi.org/10.37537/rev.elektron.10.1.237.2026
Review Article
ISSN 2525-0159
https://elektron.fi.uba.ar
17
Creative Commons License
Fig. 11. (a) V
t
-shift with temperature for three different currents, and (b)
Transfer curve after 20 Gy of absorbed dose and three different
temperatures [65].
A third alternative is to use two matched dosimeters, instead
of just one, and take a differential reading having been
biased differently during irradiation, causing their V
t
values
to evolve differently [66]-[69].
B. Saturation and reutilization
As the absorbed dose increases, the V
t
-shift gradually
saturates and the dosimeter loses sensitivity. This saturation
is due to three different physical mechanisms [70]. First, the
finite number of trapping sites establishes a maximum
V
t
-shift when all the traps are filled. Second, when the
density of trapped holes is high enough to distort the local
electric field, a process known as field collapse occurs, in
which the electric field decreases in the oxide region where
most of the holes are generated, leading to a lower fractional
yield, so there are fewer holes available to be trapped. Third,
when the density of trapped holes is sufficiently high, their
neutralization by an electron travelling through the oxide is
no longer negligible, resulting in a dynamic equilibrium
when hole capture is balanced by neutralization.
Different methods were proposed for erasing the charge
accumulated during irradiation and restore the dosimeter to
its initial state or, at least, to a repeatable predefined state.
One technique is based on a high temperature annealing.
The exposure to high temperatures leads to a recovery of V
t
towards its pre-irradiation value due to the emission of holes
from traps to the valence band of the oxide and their
subsequent transport towards either electrode [71], so
different groups propose to use thermal annealing as a way
for reusing the MOS dosimeter [72]-[76]. Figure 12 shows
the procedure for a dosimeter exposed up to 400 °C for half
an hour, achieving good repeatability [76]. Alternatively,
illuminating with UV light also anneals the charge within
the oxide due to the electron injection of electrons from the
substrate into the oxide conduction band by overcoming the
barrier energy at the interface, which leads to the proposal
of using UV exposure for dosimeter reuse [74]. It was also
reported that local reheating by electric current also anneals
the charge within the oxide [77]-[78].
Fig. 12. (a) Threshold voltage and (b) sensitivity evolutions during two
consecutive irradiations with a thermal annealing treatment between
them [76].
Another possibility is related to applying a high external
electric field making possible the injection of electrons from
the substrate into the oxide conduction band by means of
Fowler-Nordheim (FN) tunneling. These injected electrons
produce impact ionization and the capture of some of the
generated holes, while the electrons can recombine with
positively charged traps. A steady state is reached as a result
of a dynamic balance between the two processes, which
depends on the electric field applied during injection or the
current in the case of constant-current injection [79]-[82].
Interface traps are also generated during electron injection
until the process saturates at a high enough charge density
around 0.1 C/cm
2
is injected [79]. It was observed that this
mechanism allows to set V
t
to a predefined value, even
when the MOS device was previously irradiated, so it can
be used for the erasure of the radiation-induced oxide
charge. Thus, the proposed technique consists of a
preparation for setting V
t
to a chosen value and saturating
interface traps density. Then, the dosimeter is ready for use.
After irradiation, the injection process is employed to reset
V
t
to the same initial value, making the dosimeter reusable
again. The use of this technique allows to obtain a
dispersion smaller than 2% after many irradiation-erasure
cycles reaching a total absorbed dose around 50 kGy [83].
The technique was also tested for commercial RADFET
with good results [84], as shown in Fig. 13.
Fig. 13. I
DS
-V
GS
curves for a RADFET subjected to many cycles of
irradiation and electrically erasure [84].
Revista Elektron, Vol. 10, No. 1, pp. 1224 (2026)
https://doi.org/10.37537/rev.elektron.10.1.237.2026
Review Article
ISSN 2525-0159
https://elektron.fi.uba.ar
18
Creative Commons License
Fig. 14. Threshold voltage evolution with dose during two parts of a long
irradiation under BCCM, showing excellent repeatability [86].
For real-time measurements, it is also possible to extend
the measurement range taking advantage of charge
neutralization. As previously discussed, when a positive
bias is applied during irradiation, holes are trapped within
oxide, which is also known as positive charge buildup
(PCB). If after a certain absorbed dose, the bias is switched
to a negative value, the oxide electric field is reversed, so
the radiation-generated electrons move towards the interface
with the substrate, where most of the trapped holes are
located, leading to an increase in the neutralization rate and
a recovery of V
t
, which is known as radiation-induced
charge neutralization (RICN) [85]. If both PCB and RICN
stages are repeated alternately, it is possible to keep V
t
within a predefined window, maintaining a constant
sensitivity and extending the measurement range, which is
dubbed as the bias-controlled cycled measurement (BCCM)
technique [86]. After interface traps saturation, which
occurs around tens of kGy, the response is repeatable
between cycles, as shown in Fig. 14, where the response of
a dosimeter for two parts of a prolonged irradiation is
observed, which, although separated by ~200 kGy, overlap
within measurement error. This measurement technique has
additional advantages, as measurement uncertainties even
lower than the dispersion in the responses among different
devices, and a reduction by a factor of ten of the
temperature-induced dose error when temperature changes
over a range between -5 °C and 95 °C [87]. The technique
was also applied to commercial RADFET [84], validating
the results.
Fig. 15. Recovery of threshold voltage as a function of the time after
irradiation ends for different temperatures [88].
C. Post-irradiation stability
For a MOS dosimeter to be considered suitable, it must
retain information for a sufficiently long time, which is
directly related with the stability of the charge trapped
within the oxide. Once irradiation ends, the density of
trapped holes gradually decreases, a phenomenon known as
annealing, which is a consequence of the neutralization
induced by either tunnel transitions between the substrate
and the traps and the emission of holes from the traps to the
valence band [88]. Given the exponential dependence of
tunneling probability on distance and of thermal emission
probability on energy, the observed post-radiation recovery
is associated with the presence of a spatial and energetic
distribution of trapped holes within the oxide. Annealing
exhibits a dynamic approximately linear with log(t) and is
highly dependent on applied bias and temperature, due to
the dependence of tunneling probability and thermal
emission on these parameters, respectively. Figure 15 shows
the threshold voltage recovery as a function of post-
radiation time for different temperatures.
D. FOXFET
In order to increase the sensor sensitivity, MOS
dosimeters require thick gate oxides [89]-[91], which goes
in the opposite direction to the technology trend for scaling
down dimensions, so they are usually fabricated in ad-hoc
processes, increasing their cost, compromising their
reliability, and making it more difficult to integrate with the
reading circuit. To overcome this issue, it was proposed to
use the field oxide commonly used as passivation as the
gate oxide of a high sensitivity dosimeter, the FOXFET [92],
as in the cross-section shown in Fig. 16. Field oxides are
known to be sensitive to radiation and responsible for an
increase in leakage current after irradiation [93]-[95].
FOXFET dosimeters from two different processes were
fabricated and both showed a response comparable to
commercial MOS dosimeters (Fig. 17) [92], suitable for in
vivo dosimetry in radiotherapy [96].
Revista Elektron, Vol. 10, No. 1, pp. 1224 (2026)
https://doi.org/10.37537/rev.elektron.10.1.237.2026
Review Article
ISSN 2525-0159
https://elektron.fi.uba.ar
19
Creative Commons License
Fig. 16. Cross section of the FOXFET dosimeter.
Fig. 17. Total threshold voltage and the contributions due to oxide and
interface traps as a function of absorbed dose for FOXFET fabricated in
two different CMOS processes [92].
IV. FLOATING GATE DOSIMETER
The floating gate (FG) MOSFET is a transistor where an
oxide is over the gate, leaving it isolated from external
electrical connection, i.e., floating. When a second
polysilicon layer is deposited onto the top oxide, this can be
employed as control gate (CG) and the FG-MOSFET is akin
any other MOSFET. Given that the presence of the oxides
surrounding the FG makes the structure sensitive to
radiation, it was proposed to employ that as a dosimeter [97].
The basic idea involves a floating gate, initially charged
with electrons, which is irradiated with zero bias in the CG,
as shown in the band diagram of Fig. 18. The electrons in
the FG generate the necessary electric field in the oxides,
allowing the electron-hole pairs generated by the radiation
to escape from the initial recombination. The direction of
these electric fields favours the electrons to left the oxide,
while the holes are attracted to the FG, where they
recombine with the electrons already present, leading to a
measurable V
t
-shift. Thus, dosimeters based on FG
structures do not rely on the hole capture in traps within the
oxide, but rather on recombination with the charge present
in a polysilicon layer. However, it would still be possible to
consider that both types of devices operate under a common
principle if we view the floating gate as a kind of large sheet
of traps in the middle of the oxide.
Fig. 18. Band diagram schematic representation of the irradiation of a
floating gate structure with zero applied bias and negative charge initially
at the floating gate. charge generation and initial recombination,
electron (blue) and hole (red) transport, hole trapping, trapped hole
neutralization through electron trapping, and charge injection into the
floating gate.
Furthermore, the initial charge on the FG allows an electric
field to exist in the oxides, increasing sensitivity without the
need for an external connection that applies a voltage to the
CG, which is advantageous for applications where a wired
connection is undesirable.
A notable improvement involved extending the floating
gate over the field oxide (Fig. 19(a)) to take advantage of its
larger ionization volume, thereby increasing the sensor
sensitivity [98]. In that initial work, the electric field in the
field oxide, necessary to maximize the fractional yield, was
generated by biasing the CG, but later it was achieved by
pre-injecting an initial charge into the FG [99]. As the CG-
to-FG capacitance reduces the sensitivity, it was proposed to
remove the CG at the cost of a smaller measurement range
[100]. A natural way to reuse the FG dosimeter consists of
recharged the FG, and the results (Fig. 19(b)) showed a
reasonable agreement between first and second irradiation
sensitivity as a function of the threshold voltage for FG
dosimeters initially charged with electrons or holes [99].
Temperature variations also affect FG dosimeters due to
changes in threshold voltage and carrier mobility [101], so a
differential technique and also a compensation method were
employed to mitigate that [100]. For FG dosimeters with a
CG, a way to extend the measurement range is to apply the
BCCM technique discussed in section III.B, which shows
that it is possible to keep a roughly constant sensitivity with
good repeatability across successive cycles [102].
The FG sensor is the core of many different proposals for
MOS dosimeters in recent years [103]-[109]. It was also
proposed to use an ultraviolet erasable programmed read-
only memory as a dosimeter, given that the number of
memory cells that flips from “0” to “1” state is a linear or
power-law function of the absorbed dose [110]-[112]. Some
groups also employed commercial FG devices as MOS
dosimeters [113]-[115].
Revista Elektron, Vol. 10, No. 1, pp. 1224 (2026)
https://doi.org/10.37537/rev.elektron.10.1.237.2026
Review Article
ISSN 2525-0159
https://elektron.fi.uba.ar
20
Creative Commons License
Fig. 19. (a) Cross-section of a floating gate dosimeter with extension over
field oxide, and (b) sensitivity as a function of the threshold voltage for FG
dosimeters initially charge with electrons (MOSFET1) or holes (MOSFET2)
during the first and second irradiations [99].
As a summary, Table II shows the main characteristics of
some of the different proposals based on FG structures. As
noted, the different proposed dosimeters do not use the
same kind of dosimetric signal, since some of them
indirectly measure the voltage at the floating gate [100],
[108], while others measure the decrease in drain current as
the floating gate discharges, either directly [104] or
converted into a proportional frequency signal [107],
making a direct comparison between sensitivities difficult.
What can be directly compared is the so-called temperature
error factor, since this is calculated as the ratio between the
temperature and radiation sensitivities, making it
independent of the type of signal being measured. The same
applies to the noise equivalent dose (NED), which
represents the sensor's resolution in terms of the noise-
induced dose reading error. Although the dosimeter
proposed in [108] appears to have the best characteristics, it
has the disadvantage of a dose range of only 2.8 Gy,
compared to the three remaining ones that all have ranges
above 10 Gy.
TABLE II
FLOATING GATE DOSIMETERS
Ref.
t
fox
S
R
TEF
NED
[100]
1 μm
300 mV/Gy
270 mGy/°C
5 mGy
[104]
N/A
1.14 μA/Gy
54.3 mGy/°C
19 mGy
[107]
N/A
34.7 kHz/Gy
3.9 mGy/°C
0.16 mGy
[108]
350 nm
386 mV/Gy
0.94 mGy/°C
0.5 mGy
One area where FG dosimeters could potentially
outperform conventional MOS dosimeters is in data
retention, as the data is stored in an electrically isolated
layer. However, FG dosimeters have also been reported to
exhibit fading [107]. To determine the source of this charge
loss, non-irradiated structures were charged, and it was
verified that the charge on the FG remained stable.
Consequently, it was concluded that the observed annealing
is related to the neutralization of holes captured in the
tunnel oxide.
V. CONCLUSIONS
This work provides a review of radiation effects in MOS
devices, with a focus on MOS dosimetry for space and
medical applications. We begin by describing the
microscopic processes that leads to the positive charge
formation within the gate oxide and the generation of traps
at the substrate/oxide interface, including electron-hole pair
generation and initial recombination, carrier transport, hole
capture in oxide traps, proton release, transport, and reaction
at the interface, depassivating a dangling bond. Next, we
describe how the effects of radiation on MOS devices can
be harnessed to measure absorbed dose, leading to MOS
dosimetry. We present the standard method of operation and
reading, and then discuss the main limitations of this type of
sensor, such as its temperature dependence, limited
measurement range, and information retention, outlining the
ways in which these limitations are typically addressed.
Finally, we analyze the feasibility of using a floating-gate
structure as a dosimeter. By pre-injecting charge into the
floating gate, the dosimeter can achieve high sensitivity
while operating under zero-bias conditions.
ACKNOWLEDGMENT
This work was supported by the Universidad de Buenos
under grants UBACYT 20020220400105BA and
20020220300077BA; and by the Agencia Nacional de
Promoción de la Investigación, el Desarrollo Tecnológico y
la Innovación under grant PICT 2020-A-01957.
DATA AVAILABILITY STATEMENT
As a review article, there is no data that can be shared.
CREDIT AUTHORSHIP CONTRIBUTION STATEMENT
L. Sambuco Salomone: Conceptualization, Investigation,
Writing-Original Draft, Writing-Review and Editing.
S. Carbonetto: Conceptualization, Investigation, Writing-
Review and Editing. M. V. Cassani: Conceptualization,
Investigation, Writing-Review and Editing.
M. A. Garcia-Inza: Conceptualization, Investigation,
Writing-Review and Editing. E. Redin: Conceptualization,
Supervision. A. Faigón: Conceptualization, Project
administration.
REFERENCES
[1] J. R. Kopacz, R. Herschitz, and J. Roney, “Small satellites an
overview and assessment,” Acta Astronautica, vol. 170, pp. 93-105,
2020, doi: https://doi.org/10.1016/j.actaastro.2020.01.034.
[2] R. Velazco, D. McMorrow, and J. Estela (Eds.), “Radiation effects
on integrated circuits and systems for space applications,” Springer,
2019.
[3] J. Mazur, L. Friesen, A. Lin, D. Mabry, N. Katz, Y. Dotan, J.
George, J. B. Blake, M. Looper, M. Redding, T. P. O’Brien, J. Cha,
A. Birkitt, P. Carranza, M. Lalic, F. Fuentes, R. Galvan, and M.
McNab, “The relativistic proton spectrometer (RPS) for the radiation
belt storm probes mission,” Space Science Reviews, vol. 179, pp.
221-261, 2013, doi: https://doi.org/10.1007/s11214-012-9926-9.
[4] J. E. Mazur, T. P. O’Brien, and M. D. Looper, The relativistic
proton spectrometer: A review of sensor performance, applications,
and science,” Space Science Reviews, vol. 219, no. 3, p. 26, 2023,
doi: https://doi.org/10.1007/s11214-023-00962-2.
[5] H. Zhao, W. R. Johnston, D. N. Baker, X. Li, B. Ni, A. N. Jaynes, S.
G. Kanekal, J. B. Blake, S. G. Claudepierre, G. D. Reeves, and A. J.
Boyd, “Characterization and evolution of radiation belt electron
energy spectra based on the Van Allen probes measurements,”
Revista Elektron, Vol. 10, No. 1, pp. 1224 (2026)
https://doi.org/10.37537/rev.elektron.10.1.237.2026
Review Article
ISSN 2525-0159
https://elektron.fi.uba.ar
21
Creative Commons License
Journal of Geophysical Research: Space Physics, vol. 124, pp.
4217-4232, 2019, doi: https://doi.org/10.1029/2019JA026697.
[6] A. W. Strong, E. Orlando, and T. R. Jaffe, “The interstellar cosmic-
ray electron spectrum from synchrotron radiation and direct
measurements,” Astronomy and Astrophysics, vol. 354, p. A54, 2011,
doi: https://doi.org/10.1051/0004-6361/201116828.
[7] “Comprehensive QA for radiation oncology,” American Association
of Physicists in Medicine, report N46, 1994.
[8] “In vivo dosimetry,” ASN Patient Safety, no. 5, 2014.
[9] L. Brualla, M. Rodriguez, J. Sempau, and P. Andreo,
“PENELOPE/PRIMO-calculated photon and electron spectra from
clinical accelerators,” Radiation Oncology, vol. 14, no. 1, p. 6, 2019,
doi: https://doi.org/10.1186/s13014-018-1186-8.
[10] P. Papagiannis, A. Angelopoulos, E. Pantelis, L. Sakelliou, P.
Karaiskos, and Y. Shimizu, “Monte Carlo dosimetry of
60
Co HDR
brachytherapy sources,” Medical Physics, vol. 30, no. 4, pp. 712-721,
2003, doi: https://doi.org/10.1118/1.1563662.
[11] R. Nath, L. L. Anderson, G. Luxton, K. A. Weaver, J. F. Williamson,
and A. S. Meigooni, “Dosimetry of interstitial brachytherapy
sources: Recommendations of the AAPM Radiation Therapy
Committee Task Group No. 43,” Medical Physics, vol. 22, no. 2, pp.
209-234, 1995, doi: https://doi.org/10.1118/1.597458.
[12] R. Mohan, “A review of proton therapy Current status and future
prospects,” Precision Radiation Oncology, vol. 6, no. 2, pp. 164-176,
2022, doi: https://doi.org/10.1002/pro6.1149.
[13] G. A. Ausman, and F. B. McLean, “Electron-hole pair creation in
SiO
2
,” Harry Diamond Laboratories Technical Report, HDL-TR-
1720, 1975.
[14] J. M. Benedetto, and H. E. Boesch, “The relationship between
60
Co
and 10-keV X-ray damage in MOS devices,” IEEE Transactions on
Nuclear Science, vol. 33, no. 6, pp. 1318-1323, 1986, doi:
https://doi.org/10.1109/TNS.1986.4334599.
[15] T. R. Oldham, and J. M. McGarrity, “Ionization of SiO
2
by heavy
charged particles,” IEEE Transactions on Nuclear Science, vol. 28,
no. 6, pp. 3975-3980, 1981, doi:
https://doi.org/10.1109/TNS.1981.4335658.
[16] T. R. Oldham, “Recombination along the tracks of heavy charged
particles in SiO
2
films,” Journal of Applied Physics, vol. 57, no. 8,
pp. 2695-2702, 1985, doi: https://doi.org/10.1063/1.335409.
[17] H. E. Boesch, and J. M. McGarrity, Charge yield and dose effects
in MOS capacitors at 80 K,” IEEE Transactions on Nuclear Science,
vol. 23, no. 6, pp. 1520-1525, 1976, doi:
https://doi.org/10.1109/TNS.1976.4328532.
[18] T. R. Oldham, and J. M. McGarrity, “Comparison of 60Co response
and 10 keV X-ray response in MOS capacitors,” IEEE Transactions
on Nuclear Science, vol. 30, no. 6, pp. 4377-4381, 1983, doi:
https://doi.org/10.1109/TNS.1983.4333141.
[19] F. B. McLean, and T. R. Oldham, “Basic mechanisms of radiation
effects in electronic materials and devices,” Harry Diamond
Laboratory, Tech. Rep., HDL-TR-2129.
[20] C. M. Dozier, D. M. Fleetwood, D. B. Brown, and P. S. Winokur,
“An evaluation of low-energy X-ray and cobalt-60 irradiations of
MOS transistors,” IEEE Transactions on Nuclear Science, vol. 34,
no. 6, pp. 1535-1539, 1987, doi:
https://doi.org/10.1109/TNS.1987.4337511.
[21] R. J. Krantz, L. W. Aukerman, and T. C. Zietlow, “Applied field and
total dose dependence of trapped charge buildup in MOS devices,”
IEEE Transactions on Nuclear Science, vol. 34, no. 6, pp. 1196-
1201, 1987, doi: https://doi.org/10.1109/TNS.1987.4337452.
[22] R. C. Hughes, “Hot electrons in SiO
2
,” Physical Review Letters, vol.
35, no. 7, pp. 449-452, 1975, doi:
https://doi.org/10.1103/PhysRevLett.35.449.
[23] M. V. Fischetti, D. J. DiMaria, S. D. Brorson, T. N. Theis, and J. R.
Kirtley, “Theory of high-field electron transport in silicon dioxide,”
Physical Review B, vol. 31, no. 12, pp. 8124-8142, 1985, doi:
https://doi.org/10.1103/PhysRevB.31.8124.
[24] O. L. Curtis, and J. R. Srour, “The multiple-trapping model and hole
transport in SiO
2
,” Journal of Applied Physics, vol. 48, no. 9, pp.
3819-3828, 1977, doi: https://doi.org/10.1063/1.324248.
[25] M. Schaffman, M. Silver, C. Corthell, and R. C. Hughes,
“Simulations of the transient photoconductivity in a-SiO
2
using a
multiple-trap model,” Journal of Applied Physics, vol. 51, no. 1, pp.
490-494, 1979, doi: https://doi.org/10.1063/1.327349.
[26] F. B. McLean, H. E. Boesch, and J. M. McGarrity, “Hole transport
and recovery characteristics of SiO
2
gate insulators,” IEEE
Transactions on Nuclear Science, vol. 23, no. 6, pp. 1506-1512,
1976, doi: https://doi.org/10.1109/TNS.1976.4328530.
[27] F. B. McLean, H. E. Boesch, and J. M. McGarrity, “Dispersive hole
transport in SiO
2
,” Harry Diamond Laboratories Report, HDL-TR-
2117, 1987.
[28] P. M. Lenahan, and P. V. Dressendorfer, “Hole traps and trivalent
silicon centers in metal/oxide/silicon devices,” Journal of Applied
Physics, vol. 55, no. 10, pp. 3495-3499, 1984, doi:
https://doi.org/10.1063/1.332937.
[29] Y. Y. Kim, and P. M. Lenahan, “Electron-spin-resonance study of
radiation-induced paramagnetic defects in oxides grown on (100)
silicon substrates,” Journal of Applied Physics, vol. 64, no. 7, pp.
3551-3557, 1988, doi: https://doi.org/10.1063/1.341494.
[30] E. H. Poindexter, P. Caplan, B. E. Deal, and R. R. Razouk,
“Interface states and electron spin resonance centers in thermally
oxidized (111) and (100) silicon wafers,” Journal of Applied Physics,
vol. 52, no. 2, pp. 879-884, 1981, doi:
https://doi.org/10.1063/1.328771.
[31] P. M. Lenahan, K. L. Brower, and P. V. Dressendorfer, “Radiation-
induced trivalent silicon defect buildup at the Si-SiO
2
interface in
MOS structures,” IEEE Transactions on Nuclear Science, vol. 28,
no. 6, pp. 4105-4106, 1981, doi:
https://doi.org/10.1109/TNS.1981.4335683.
[32] F. B. McLean, “A framework for understanding radiation-induced
interface states in SiO
2
MOS structures,” IEEE Transactions on
Nuclear Science, vol. 27, no. 6, pp. 1651-1657, 1980, doi:
https://doi.org/10.1109/TNS.1980.4331084.
[33] M. R. Shaneyfelt, J. R. Schwank, D. M. Fleetwood, P. S. Winokur,
K. L. Hughes, and F. W. Sexton, “Field dependence of interface-trap
buildup in polysilicon and metal gate MOS devices,” IEEE
Transactions on Nuclear Science, vol. 37, no. 6, pp. 1632-1640,
1990, doi: https://doi.org/10.1109/23.101171.
[34] R. García Cozzi, E. Redín, M. Garcia-Inza, L. Sambuco Salomone,
A. Faigón, S. Carbonetto, “Influence of interface traps on MOSFETs
thermal coefficients and its effects on the ZTC current,”
Microelectronics Reliability, vol. 137, 114752, 2022, doi:
https://doi.org/10.1016/j.microrel.2022.114752.
[35] D. M. Fleetwood, and J. H. Scofield, “Evidence that similar point
defects cause 1/f noise and radiation-induced-hole trapping in metal-
oxide-semiconductor transistors,” IEEE Transactions on Nuclear
Science, vol. 64, no. 5, pp. 579-582, 1990, doi:
https://doi.org/10.1103/PhysRevLett.64.579.
[36] T. L. Meisenheimer, and D. M. Fleetwood, “Effect of radiation-
induced charge on 1/f noise in MOS devices,” IEEE Transactions on
Nuclear Science, vol. 37, no. 6, pp. 1696-1702, 1990, doi:
https://doi.org/10.1109/23.101179.
[37] T. L. Meisenheimer, D. M. Fleetwood, M. R. Shaneyfelt, and L. C.
Riewe, “1/f noise in n- and p-channel MOS devices through
irradiation and annealing,” IEEE Transactions on Nuclear Science,
vol. 38, no. 6, pp. 1297-1303, 1991, doi:
https://doi.org/10.1109/23.124108 .
[38] A. Scarpa, A. Paccagnella, F. Montera, G. Ghibaudo, G.
Pananakakis, G. Ghidini, and P. G. Fuochi, “Ionizing radiation
induced leakage current on ultra-thin gate oxides,” IEEE
Transactions on Nuclear Science, vol. 44, no. 6, pp. 1818-1825,
1997, doi: https://doi.org/10.1109/23.658948.
[39] M. Ceschia, A. Paccagnella, A. Cester, A. Scarpa, and G. Ghidini,
“Radiation induced leakage current and stress induced leakage
current in ultra-thin gate oxides,” IEEE Transactions on Nuclear
Science, vol. 45, no. 6, pp. 2375-2382, 1998, doi:
https://doi.org/10.1109/23.736457.
[40] M. Ceschia, A. Paccagnella, M. Turrini, A. Candelori, G. Ghidini,
and J. Wyss, “Heavy ion irradiation of thin gate oxides,” IEEE
Transactions on Nuclear Science, vol. 47, no. 6, pp. 2648-2655,
2000, doi: https://doi.org/10.1109/23.903821.
[41] P. M. Lenahan, J. P. Campbell, A. Y. Kang, S. T. Liu, and R. A.
Weimer, “Radiation-induced leakage currents: Atomic scale
Revista Elektron, Vol. 10, No. 1, pp. 1224 (2026)
https://doi.org/10.37537/rev.elektron.10.1.237.2026
Review Article
ISSN 2525-0159
https://elektron.fi.uba.ar
22
Creative Commons License
mechanisms,” IEEE Transactions on Nuclear Science, vol. 48, no. 6,
pp. 2101-2106, 2001, doi: https://doi.org/10.1109/23.983179.
[42] R. C. Lacoe, “CMOS scaling design principles and hardening by
design methodology,”NSREC Shrot Course, 2003.
[43] W. J. Poch, and A. G. Holmes-Siedle, “The mosimeter: A new
instrument for measuring radiation dose,” RCA Engineer, vol. 16, no.
3, pp. 56-59, 1970.
[44] A. Holmes-Siedle, “The space-charge dosimeter: General principles
of a new method of radiation detection,” Nuclear Instruments and
Methods, vol. 121, no. 1, pp. 169-179, 1974 doi:
https://doi.org/10.1016/0029-554X(74)90153-0.
[45] A. Holmes-Siedle, L. Adams, J. S. Leffler, and S. R. Lindgren, “The
RADFET system for real-time dosimeter in nuclear facility,” IEEE
Transactions on Nuclear Science, vol. 26, 025004, 1983.
[46] A. G. Holmes-Siedle, L. Adams, B. Pauly, and S. Marsden,
“Linearity of pMOS radiation dosimeters operated at zero bias,”
Electronics Letters, vol. 21, no. 3, pp. 570-571, 1985, doi:
https://doi.org/10.1049/el:19850403.
[47] A. Holmes-Siedle, and L. Adams, “RADFET: A review of the use of
metal-oxide-silicon devices as integrating dosimeters,” Radiation
Physics and Chemistry, vol. 28, no. 2, pp. 235-244, 1986, doi:
https://doi.org/10.1016/1359-0197(86)90134-7.
[48] F. Ravotti, M. Glaser, M. Moll, C. Ilgner, B. Camanzi, and A. G.
Holmes-Siedle, “Response of RadFET dosimeters to high fluence of
fast neutrons,” IEEE Transactions on Nuclear Science, vol. 52, no. 4,
pp. 959-965, 2005, doi: https://doi.org/10.1109/TNS.2005.852709.
[49] A. Holmes-Siedle, F. Ravotti, and M. Glaser, The dosimetric
performance of RADFETs in radiation test beams,” IEEE Radiation
Effects Data Workshop, pp. 42-57, 2007, doi:
https://doi.org/10.1109/REDW.2007.4342539.
[50] F. Vettese, C. Donichak, P. Bourgeault, and G. Sarrabayrouse,
“Assessment of a new p-MOSFET usable as a dose rate insensitive
gamma dose sensor,” IEEE Transactions on Nuclear Science, vol.
43, no. 3, pp. 991-996, 1996, doi: https://doi.org/10.1109/23.510745.
[51] L. J. Asensio, M. A. Carvajal, J. A. López-Villanueva, M. Vilches,
A. M. Lallena, and A. J. Palma, “Evaluation of a low-cost
commercial MOSFET as a radiation dosimeter,” Sensors and
Actuators A, vol. 125, pp. 288-295, 2006, doi:
https://doi.org/10.1016/j.sna.2005.08.020.
[52] A. Haran, A. Jaksić, N. Refaeli, A. Eliyahu, D. David, and J. Barak,
“Temperature effects and long term fading of implanted and
unimplanted gate oxide RADFETs,” IEEE Transactions on Nuclear
Science, vol. 51, no. 5, pp. 2917-2921, 2004, doi:
https://doi.org/10.1109/TNS.2004.835065.
[53] RFT300-CC10G1 Datasheet (RFTDAT-CC10 - Rev W), REM
Oxford Ltd., 2010.
[54] G. Pablo Cirrone, G. Cuttone, P. A. Lojacono, S. L. Nigro, I. V.
Patti, S. Pittera, L. Raffaele, M. G. Sabini, V. Salamone, and L. M.
Valastro, “Preliminary investigation on the use of the MOSFET
dosimeter in proton beams,” Phys. Med., vol. 22, no. 1, pp. 29-32,
2006, doi: https://doi.org/10.1016/S1120-1797(06)80008-6.
[55] R. Kohno, K. Hotta, T. Matsuura, K. Matsubara, S. Nishioka, T.
Nishio, M. Kawashima, and T. Ogino, “Proton dose distribution
measurements using a MOSFET detector with a simple dose-
weighted correction method for let effects,” J. Appl. Clin. Med.
Phys., vol. 12, no. 2, 2011, doi:
https://doi.org/10.1120/jacmp.v12i2.3431.
[56] S. Ruiz-Arrebola, R. Fabregat-Borrás, E. Rodríguez, M. Fernández-
Montes, M. Pérez-Macho, M. Ferri, A. García, J. Cardenal, M. T.
Pacheco, and J. Anchuelo, “Characterization of microMOSFET
detectors for in vivo dosimetry in high-dose-rate brachytherapy with
192
Ir,” Medical Physics, vol. 47, no. 5, pp. 2242-2253, 2020, doi:
https://doi.org/10.1002/mp.14080.
[57] A. Sadeghi, B. Prestidge, J. M. Lee, I. Jurkovic, M. Simms, W. Bice,
E. Walker, “Clinical use of a linear array MOSFET for urethral dose
verification in prostate high dose rate brachytherapy,” ABS 27
th
annual Meeting, poster paper, 2006.
[58] VT02 Datasheet (Rev. 2.2), Varadis, 2022.
[59] Z.-Y. Qi, X.-W. Deng, S.-M. Huang, L. Zhang, Z.-C. He, X. A. Li, I.
Kwan, M. Lerch, D. Cutajar, P. Metcalfe, and A. Rosenfeld, “In
vivo verification of superficial dose for head and neck treatments
using intensity-modulated techniques,” Medical Physics, vol. 36, no.
1, pp. 59-70, 2008, doi: https://doi.org/10.1118/1.3030951.
[60] J. Cayley, E. Engels, T. Charles, P. Bennetto, M. Cameron, J. Poder,
D. Hausermann, J. Paino, D. Butler, D. Cutajar, M. Petasecca, A.
Rosenfeld, Y.-R. E. Tan, and M. Lerch, “Establishing linearity of
the MOSkin detector for ultra-high dose-per-pulse, very-high-energy
electron radiotherapy using dose-rate-corrected EBT-XD film,”
Applied Sciences, vol. 15, no. 14, p. 8101, 2025, doi:
https://doi.org/10.3390/app15148101.
[61] P. H. Halvorsen, “Dosimetric evaluation of a new design MOSFET
in vivo dosimeter,” Medical Physics, vol. 32, no. 1, pp. 110-117,
2005, doi: https://doi.org/10.1118/1.1827771.
[62] R. A. Kinhikar, P. K. Sharma, C. M. Tambe, U. M. Mahantshetty, R.
Sarin, D. D. Deshpande, and S. K. Shrivastava, “Clinical application
of a OneDose
TM
MOSFET for skin dose measurements during
internal mammary chain irradiation with high dose rate
brachytherapy in carcinoma of the breast,” Physics in Medicine and
Biology, vol. 51, N263-N268, 2006, doi:
https://doi.org/10.1088/0031-9155/51/14/N01.
[63] G. X. Ding, and C. W. Coffey, “Dosimetric evaluation of the
OneDose
TM
MOSFET for measuring kilovoltage imaging dose from
image-guided radiotherapy procedures,” Medical Physics, vol. 37,
no. 9, pp. 4880-4885, 2010, doi: https://doi.org/10.1118/1.3483099.
[64] T. Cheung, M. J. Butson, and P. K. N. Yu, Effects of temperature
variation on MOSFET dosimetry,” Physics in Medicine and Biology,
vol. 49, N191-N196, 2004, doi: https://doi.org/10.1088/0031-
9155/49/13/N02.
[65] S. H. Carbonetto, M. A. García Inza, J. Lipovetzky, E. G. Redin, L.
Sambuco Salomone, and A. Faigón, “Zero temperature coefficient
bias in MOS devices. Dependence on interface traps density,
application to MOS dosimetry,” IEEE Transactions on Nuclear
Science, vol. 58, no. 6, pp. 3348-3353, 2011, doi:
https://doi.org/10.1109/TNS.2011.2170430.
[66] M. Soubra, J. Cygler, and G. MacKay, “Evaluation of a dual bias
metal oxide-silicon semiconductor field effect transistor detector as
radiation dosimeter,” Medical Physics, vol. 21, no. 4, pp. 567-572,
1994, doi: https://doi.org/10.1118/1.597314.
[67] S. Carbonetto, M. Garcia-Inza, J. Lipovetzky, M. Carra, E. Redin, L.
Sambuco Salomone, and A. Faigon, “CMOS differential and
amplified dosimeter with field oxide n-channel MOSFETs,” IEEE
Transactions on Nuclear Science, vol. 61, no. 6, pp. 3466-3471,
2014, doi: https://doi.org/10.1109/TNS.2014.2368361.
[68] M. Garcia-Inza, S. H. Carbonetto, J. Lipovetzky, and A. Faigon,
“Radiation sensor based on MOSFETs mismatch amplification for
radiotherapy applications,” IEEE Transactions on Nuclear Science,
vol. 63, no. 3, pp. 1784-1789, 2016, doi:
https://doi.org/10.1109/TNS.2016.2560172.
[69] S. Carbonetto, M. Echarri, J. Lipovetzky, M. Garcia-Inza, and A.
Faigón, “Temperature-compensated MOS dosimeter fully integrated
in a high-voltage 0.35 μm CMOS process,” IEEE Transactions on
Nuclear Science, vol. 67, no. 6, pp. 1118-1124, 2020, doi:
https://doi.org/10.1109/TNS.2020.2966567.
[70] H. E. Boesch, Jr., F. B. McLean, J. M. Benedetto, J. M. McGarrity,
and W. E. Bailey, “Saturation of threshold voltage shift in
MOSFET’s at high total dose,” IEEE Transactions on Nuclear
Science, vol. 33, no. 6, pp. 1191-1197, 1986, doi:
https://doi.org/10.1109/TNS.1986.4334577.
[71] E. H. Snow, A. S. Grove, and D. J. Fitzgerald, “Effects of ionizing
radiation on oxidized silicon surfaces and planar devices,”
Proceedings of the IEEE, vol. 55, no. 7, pp. 1168-1185, 1967, doi:
https://doi.org/10.1109/PROC.1967.5776.
[72] A. Kelleher, N. McDonnell, B. O’Neill, and W. Lane, “Investigation
into re-use of PMOS dosimeters,” IEEE Transactions on Nuclear
Science, vol. 41, no. 3, pp. 445-451, 1994, doi:
https://doi.org/10.1109/23.299782.
[73] A. Kelleher, W. Lane, and L. Adams, “Investigation of on-chip high
temperature annealing of PMOS dosimeters,” IEEE Transactions on
Nuclear Science, vol. 43, no. 3, pp. 997-1001, 1996, doi:
https://doi.org/10.1109/RADECS.1995.509821.
[74] G. Ristic, “Thermal and UV annealing of irradiated pMOS
dosimetric transistors,” Journal of Physics D: Applied Physics, vol.
Revista Elektron, Vol. 10, No. 1, pp. 1224 (2026)
https://doi.org/10.37537/rev.elektron.10.1.237.2026
Review Article
ISSN 2525-0159
https://elektron.fi.uba.ar
23
Creative Commons License
42, 135001, 2009, doi: https://doi.org/10.1088/0022-
3727/42/13/135101.
[75] E. Yilmaz, and R. Turan, “Temperature cycling of MOS-based
radiation sensors,” Sensors and Actuators, vol. 141, pp. 1-5, 2008,
doi: https://doi.org/10.1016/j.sna.2007.07.001.
[76] L. Sambuco Salomone, M. V. Cassani, M. Garcia-Inza, A. Faigón, S.
Carbonetto, and E. Redin, “Preliminary results of the thermal
annealing for MOS dosimeters reutilization,” 2025 Argentine
Conference on Electronics (CAE), IEEE, pp. 82-86, 2025, doi:
https://doi.org/10.1109/CAE64243.2025.10961957.
[77] D. Verellen, S. Van Vaerenbergh, K. Tournel, K. Heuninckx, L.
Joris, M. Duchareau, N. Linthout, T. Gevaert, T. Reynders, I. Van
de Vondel, L. Coppens, T. Depuydt, M. De Ridder, and G. Storme,
“An in-house developed resettable MOSFET dosimeter for
radiotherapy,” Physics and Biology, vol. 55, pp. 97-109, 2010, doi:
https://doi.org/10.1088/0031-9155/55/4/N01.
[78] G.-W. Luo, Z.-Y. Qi, X.-W. Deng, and A. Rosenfeld, “Investigation
of a pulsed current annealing method in reusing MOSFET
dosimeters for in vivo IMRT dosimetry,” Medical Physics, vol. 41,
no. 5, 051710, 2014, doi: https://doi.org/10.1118/1.4871619.
[79] Y. Nissan-Cohen, J. Shappir, and D. Frohman-Bentchkowsky,
“Dynamic model of trapping-detrapping in SiO
2
,” Journal of
Applied Physics, vol. 58, no. 6, pp. 2252-2261, 1985, doi:
https://doi.org/10.1063/1.335942.
[80] D. J. DiMaria, E. Cartier, and D. Arnold, “Impact ionization, trap
creation, degradation, and breakdown in silicon dioxide films on
silicon,” Journal of Applied Physics, vol. 73, no. 7, pp. 3367-3384,
1993, doi: https://doi.org/10.1063/1.352936.
[81] D. Arnold, E. Cartier, and D. J. DiMaria, “Theory of high-field
electron transport and impact ionization in silicon dioxide,” Physical
Review B, vol. 49, no. 15, pp. 10278-10297, 1994, doi:
https://doi.org/10.1103/PhysRevB.49.10278.
[82] E. Miranda, E. Redin, and A. Faigon, “An effective field approach
for the Fowler-Nordheim tunneling current through a metal-oxide-
semiconductor charged barrier,” Journal of Applied Physics, vol. 82,
no. 3, pp. 1262-1265, 1997, doi: https://doi.org/10.1063/1.366535.
[83] J. Lipovetzky, E. G. Redin, and A. Faigon, “Electrically erasable
metal-oxide-semiconductor dosimeters,” IEEE Transactions on
Nuclear Science, vol. 54, no. 4, pp. 1244-1250, 2007, doi:
https://doi.org/10.1109/TNS.2007.895122.
[84] J. Lipovetzky, A. Holmes-Siedle, M. García Inza, S. Carbonetto, E.
Redin, and A. Faigon, “New Fowler-Nordheim injection, charge
neutralization, and gamma tests on the REM RFT300 RADFET
dosimeter,” IEEE Transactions on Nuclear Science, vol. 59, no. 6,
pp. 3133-3140, 2012, doi:
https://doi.org/10.1109/TNS.2012.2222667.
[85] D. M. Fleetwood, “Radiation induced charge neutralization and
interface trap buildup in metal oxide semiconductor devices,”
Journal of Applied Physics, vol. 67, no. 1, pp. 580-583, 1990, doi:
https://doi.org/10.1063/1.345199.
[86] A. Faigon, J. Lipovetzky, E. Redin, and G. Krusczenski, “Extension
of the measurement range of MOS dosimeters using radiation
induced charge neutralization, IEEE Transactions on Nuclear
Science, vol. 55, no. 4, pp. 2141-2147, 2008, doi:
https://doi.org/10.1109/TNS.2008.2000767.
[87] J. Lipovetzky, E. G. Redin, M. A. García Inza, S. Carbonetto, and A.
Faigón, “Reducing measurement uncertainties using bias cycled
measurement in MOS dosimetry at different temperatures,” IEEE
Transactions on Nuclear Science, vol. 57, no. 2, pp. 848-853, 2010,
doi: https://doi.org/10.1109/TNS.2010.2042178.
[88] P. J. McWhorter, S. L. Miller, and W. M. Miller, “Modeling the
anneal of radiation-induced trapped holes in a varying thermal
environment,” IEEE Transactions on Nuclear Science, vol. 37, no. 6,
pp. 1682-1689, 1990, doi: https://doi.org/10.1109/23.101177.
[89] G. F. Derbenwick, and B. L. Gregory, “Process optimization of
radiation-hardened CMOS integrated circuits,” IEEE Transactions
on Nuclear Science, vol. 22, no. 6, pp. 2151-2156, 1975, doi:
https://doi.org/10.1109/TNS.1975.4328096.
[90] C. R. Viswanathan, and J. Maserjian, “Model for thickness
dependence of radiation charging in MOS structures,” IEEE
Transactions on Nuclear Science, vol. 23, no. 6, pp. 1540-1545,
1976, doi: https://doi.org/10.1109/TNS.1976.4328535.
[91] N. S. Saks, M. G. Ancona, and J. A. Modolo, “Radiation effects in
MOS capacitors with very thin oxides at 80 K,” IEEE Transactions
on Nuclear Science, vol. 31, no. 6, pp. 1249-1255, 1984, doi:
https://doi.org/10.1109/TNS.1984.4333491.
[92] J. Lipovetzky, M. Garcia-Inza, S. Carbonetto, M. J. Carra, E. G.
Redin, L. Sambuco Salomone, and A. Faigon, “Field oxide n-
channel MOS dosimeters fabricated in CMOS processes,” IEEE
Transactions on Nuclear Science, vol. 60, no. 6, pp. 4683-4691,
2013, doi: https://doi.org/10.1109/TNS.2013.2287256.
[93] T. R. Oldham, A. J. Lelis, H. E. Boesch, J. M. Benedetto, F. B.
McLean, and J. M. McGarrity, “Post-irradiation effects in field-
oxide isolation structures,” IEEE Transactions on Nuclear Science,
vol. 34, no. 6, pp. 1184-1189, 1987, doi:
https://doi.org/10.1109/TNS.1987.4337450.
[94] J. M. Terrell, T. R. Oldham, A, J. Lelis, and J. M. Benedetto, “Time
dependent annealing of radiation-induced leakage currents in MOS
devices,” IEEE Transactions on Nuclear Science, vol. 36, no. 6, pp.
2205-2211, 1989, doi: https://doi.org/10.1109/23.45426.
[95] I. Sanchez Esqueda, H. J. Barnaby, K. E. Holbert, and Y.
Boulghassoul, “Modeling inter-device leakage in 90 nm bulk CMOS
devices,” IEEE Transactions on Nuclear Science, vol. 58, no. 3, pp.
793-799, 2011, doi: https://doi.org/10.1109/TNS.2010.2101616.
[96] M. Garcia-Inza, M. Cassani, S. Carbonetto, M. Casal, E. Redin, and
A. Faigon, “6 MV LINAC characterization of a MOSFET dosimeter
fabricated in a CMOS process,” Radiation Measurements, vol. 117,
pp. 63-69, 2018, doi: https://doi.org/10.1016/j.radmeas.2018.07.009.
[97] J. Kassabov, N. Nedev, and N. Smirnov, “Radiation dosimeter based
on floating gate MOS transistor,” Radiation Effects and Defects in
Solids, vol. 116, no. 1-2, pp. 155-158, 1991, doi:
https://doi.org/10.1080/10420159108221354.
[98] C. J. Peters, N. G. Tarr, K. Shortt, I. Thomson, and G. F. MacKay,
“A floating-gate MOSFET gamma dosimeter,” Canadian Journal of
Physics, vol. 74, no. 12, pp. 135-138, 1996, doi:
https://doi.org/10.1139/p96-846.
[99] N. G. Tarr, G. F. MacKay, K. Shortt, and I. Thomson, “A floating
gate MOSFET dosimeter requiring no external bias supply,” IEEE
Transactions on Nuclear Science, vol. 45, no. 3, pp. 1470-1474,
1998, doi: https://doi.org/10.1109/RADECS.1997.698909.
[100] N. G. Tarr, K. Shortt, Y. Wang, and I. Thomson, “A sensitive,
temperature-compensated, zero-bias floating gate MOSFET
dosimeter,” IEEE Transactions on Nuclear Science, vol. 51, no. 3,
pp. 1277-1282, 2004, doi: https://doi.org/10.1109/TNS.2004.829372.
[101] M. Martin, D. Roth, A. Garrison-Darrin, P. McNulty, and A.
Andreou, “FGMOS dosimetry: Design and implementation,” IEEE
Transactions on Nuclear Science, vol. 48, no. 6, pp. 2050-2055,
2001, doi: https://doi.org/10.1109/23.983171.
[102] M. García Inza, J. Lipovetzky, E. G. Redin, S. Carbonetto, and A.
Faigón, “Floating gate pMOS dosimeters under bias controlled
cycled measurement,” IEEE Transactions on Nuclear Science, vol.
58, no. 3, pp. 808-812, 2011, doi:
https://doi.org/10.1109/TNS.2010.2099668.
[103] E. Garcia-Moreno, E. Isern, M. Roca, R. Picos, J. Font, J. Cesari,
and A. Pineda, “Floating gate CMOS dosimeter with frequency
output,” IEEE Transactions on Nuclear Science, vol. 59, no. 2, pp.
373-378, 2012, doi: https://doi.org/10.1109/TNS.2012.2184301.
[104] E. Garcia-Moreno, E. Isern, M. Roca, R. Picos, J. Font, J. Cesari,
and A. Pineda, “Temperature compensated floating gate MOS
radiation sensor with current output,” IEEE Transactions on Nuclear
Science, vol. 60, no. 5, pp. 4026-4030, 2013, doi:
https://doi.org/10.1109/TNS.2013.2277605.
[105] E. G. Villani, A. Gabrielli, A. Khan, E. Pikhay, Y. Roizin, and Z.
Zhang, “Monolithic 180 nm CMOS dosimeter for in vivo medical
applications,” IEEE Transactions on Nuclear Science, vol. 60, no. 2,
pp. 843-849, 2013, doi: https://doi.org/10.1109/TNS.2013.2251472.
[106] E. G. Villani, M. Crepaldi, D. DeMarchi, A. Gabrielli, A. Khan, E.
Pikhay, Y. Roizin, A. Rosenfeld, and Z. Zhang, “A monolithic 180
nm CMOS dosimeter for wireless in vivo dosimetry,” Radiation
Measurements, vol. 84, pp. 55-64, 2016, doi:
https://doi.org/10.1016/j.radmeas.2015.11.004.
Revista Elektron, Vol. 10, No. 1, pp. 1224 (2026)
https://doi.org/10.37537/rev.elektron.10.1.237.2026
Review Article
ISSN 2525-0159
https://elektron.fi.uba.ar
24
Creative Commons License
[107] M. Brucoli, S. Danzeca, M. Brugger, A. Masi, A. Pineda, J. Cesari,
L. Dusseau, and F. Wrobel, “Floating gate dosimeter suitability for
accelerator-like environments,” IEEE Transactions on Nuclear
Science, vol. 64, no. 8, pp. 2054-2060, 2017, doi:
https://doi.org/10.1109/TNS.2017.2681651.
[108] C. Zhang, and S. M. Rezaul Hasan, “A new floating-gate radiation
sensor and readout circuit in standard single-poly 130-nm CMOS
technology,” IEEE Transactions on Nuclear Science, vol. 66, no. 7,
pp. 1906-1915, 2019, doi:
https://doi.org/10.1109/TNS.2019.2922714.
[109] T. Darós, N. C. Cábia, J. Piteira, and M. C. Schneider, “Design,
modeling, and characterization of a floating gate dosimeter in
standard CMOS technology for sensor reuse,” IEEE Transactions on
Nuclear Science, vol. 72, no. 2, pp. 3069-3076, 2025, doi:
https://doi.org/10.1109/TNS.2025.3594306.
[110] L. Z. Scheick, P. J. McNulty, and D. R. Roth, “Dosimetry based on
the erasure of floating gates in the natural radiation environments in
space,” IEEE Transactions on Nuclear Science, vol. 45, no. 6, pp.
2681-2688, 1998, doi: https://doi.org/10.1109/23.736515.
[111] P. J. McNulty, M. Rajaman, K. F. Poole, K. R. Freeman, J. P. Dyar,
L. Z. Scheick, M. Alkhafazi, and M. G. Randall, “Simplified readout
of UVPROM dosimeters for spacecraft applications,” IEEE
Transactions on Nuclear Science, vol. 53, no. 4, pp. 1859-1862,
2006, doi: https://doi.org/10.1109/TNS.2006.877564.
[112] P. J. McNulty, and K. F. Poole, “Increasing the sensitivity of
FGMOS dosimeters by reading at higher temperature,” IEEE
Transactions on Nuclear Science, vol. 59, no. 4, pp. 1113-1116,
2012, doi: https://doi.org/10.1109/TNS.2012.2192288.
[113] R. Edgecock, J. Matheson, M. Weber, E. G. Villani, R. Bose, A:
Khan, D. R. Smith, I. Adil-Smith, and A. Gabrielli, “Evaluation of
commercial programmable floating gate devices as radiation
dosimeters,” Journal of Instrumentation, vol. 4, no. 2, pp. 1-10,
2009, doi: https://doi.org/10.1088/1748-0221/4/02/P02002.
[114] S. Ilić, A. Jevtić, S. Stanković, and G. Ristić, “Floating-gate MOS
transistor with dynamic biasing as a radiation sensor,” Sensors, vol.
20, no. 11, p. 3329, 2021, doi: https://doi.org/10.3390/s20113329.
[115] S. Ilić, M. S. Andjelković, R. Duane, A. J. Palma, M. Sarajlić, S.
Stanković, and G. R. Ristić, “Recharging process of commercial
floating-gate MOS transistor in dosimetry application,”
Microelectronics Reliability, vol. 126, p. 114322, 2022, doi:
https://doi.org/10.1016/j.microrel.2021.114322 .