Blog

A gamma-ray spectrometer based on MAPD-3NM-2 and LaBr3(ce) and LSO scintillators for hydrogen detection on planetary surfaces | Scientific Reports

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Scientific Reports volume  15, Article number: 2823 (2025 ) Cite this article cas 10277 43 7

The presented work is dedicated to the detection of hydrogen, using detectors based on a MAPD (Micropixel Avalanche Photodiode) array based on new MAPD-3NM-2 type photodiodes and two different scintillators (LaBr3(Ce) and LSO(Ce)). The physical parameters of the MAPD photodiode used in the study and the intrinsic background of the scintillators were investigated. For the 2.223 MeV energy gamma-ray indicating the presence of hydrogen, the energy resolution was 6.89% with the MAPD array and LSO scintillator-based detector, and the number of events corresponding to this energy was 4817. With the MAPD array and LaBr3(Ce) scintillator, the energy resolution for the 2.223 MeV gamma-ray was 3.55%, and the number of events corresponding to this energy was 3868. The LSO scintillator-based detector allowed for the detection of 24.5% more 2.223 MeV energy gamma-rays compared to the LaBr3(Ce) scintillator. For the 2.223 MeV gamma-ray associated with hydrogen, the energy resolution with the LaBr3(Ce) scintillator was 48.5% better than with the LSO scintillator. The lower energy resolution compared to the LSO is due to the higher light output of LaBr3(Ce). The obtained results experimentally demonstrate that it is possible to obtain information about the presence of hydrogen in the target using both detectors.

Currently, neutron-induced compositional analyses are widely applied in the study of planets1,2,3,4,5,6,7,8,9 and asteroids10,11,12. Neutron sources such as neutron generators, neutrons produced by cosmic radiation, and radioactive sources (e.g., AmBe, CmBe, Cf) are widely used13. The energies of neutrons emitted from some neutron generators are monoenergetic, at 2.5 MeV and 14.1 MeV13,14, while the energy of neutrons emitted from radioactive sources ranges from 0 to 11 MeV14. Additionally, the energy of neutrons generated on planetary surfaces due to cosmic radiation is in the range of 1–20 MeV3,6. In these studies, which investigate the composition of targets through the impact of fast neutrons, information about the target’s composition is obtained by detecting gamma rays emitted when neutrons are scattered multiple times with the target nuclei, losing energy and becoming thermal neutrons, or when neutrons are absorbed, and the excited nucleus returns to its ground state. Based on the energy and count of these recorded events, information about the elements within the target can be obtained6. It should be noted that not all detected gamma rays are necessarily produced by neutron interactions; they could also originate from the decay products of isotopes such as 40K, 238U, and 232Th, which contribute to the natural background of the planet, or from gamma rays generated by cosmic radiation3,4,15,16.

SiPMs were first developed in 1990 and are currently considered sensitive photodetectors to single photons, with improved parameters35,36,37,38,39,40,41. These photodetectors operate in Geiger mode, with internal gain varying between 104 and 107, achieved through impact ionization36. Scintillation detectors based on surface-structured SiPMs have been extensively studied by many researchers42,43,44,45,46,47,48,49,50. In these detectors, increasing the pixel density of the diode leads to a significant decrease in photon detection efficiency (PDE). Consequently, this type of structure is not conducive to developing SiPMs with both high pixel densities (10000 pixels/mm²) and high PDE (~ 25%)31,34. As a result, the energy resolution and linear operating range of scintillation detectors using surface-structured SiPMs degrade markedly. To address this issue, the use of a deep buried pixel structure has been proposed as a more effective alternative31. SiPMs with deep buried pixel structures currently offer pixel densities ranging from 5,000 to 40,000 pixels/mm² and PDE values between 12% and 35%31.More detailed information about the types and operating mechanisms of SiPMs with deep buried pixel structure can be found in works35,36,37,38,39,40,41.It is for this reason that the improvement of SiPM with deep buried pixel structure and the development of detectors based on them are very relevant. Additionally this structure has high radiation hardness to compare with surface structure51. Currently, SiPM with deep buried pixel structure can be considered the most optimal structure for the development of scintillation detectors with excellent linearity over a wide range of energy and good energy resolution27,31.

In the presented work, the physical properties of new MAPD-3NM-2 type photodiodes, the 16-element array prepared based on these diodes, and the detection of point gamma sources and gamma rays resulting from the interaction of neutrons with PET using LaBr3(Ce) and LSO scintillators were investigated.

The MAPD-3NM-2 type of SiPM used in the experiment are considered the latest version of deep-pixel photodiodes produced by Zecotek Photonics Inc. The thicknesses of the 1st and 2nd epitaxial layers of this structure were 10 and 2 micrometers, respectively. The pixel size was 12 micrometers, and the distance between them was 3 micrometers. The size of the MAPD-3NM-2 photodiode was 3.7 mm by 3.7 mm. A single MAPD-3NM-2 type photodiode contained a total pixel density of 66,500 pixels.

Figure 1 shows the I-V characteristics of the MAPD-3NM-2 type photodiode, measured with a Keithley-6487 device. As seen from the dependence of the differential dI/(dU*I) on the applied voltage, the breakdown voltage of the MAPD-3NM-2 type photodiode was 52.20 ± 0.027 V, and the operating voltage ranged from 54 to 56.3 V.

Figure 1 also shows the C-V characteristics of the MAPD-3NM-2 photodiode, measured with the E7-20 device. To determine the capacitance of the MAPD photodiode using the E7-20 device, a signal frequency of 1 MHz and an amplitude of 40 mV were used. A voltage of 22 V was required to fully deplete the active volume of the photodiode with the charge region. The capacitance of the photodiode was 157 pF.

The dependence of the capacitance and the dI/(dU*I) ratio of the MAPD-3NM-2type photodiode on the voltage.

Figure 2 shows the dependence of the gain of the MAPD-3NM-2 type photodiode on the voltage. The gain was calculated based on the amplification of each pixel. More detailed information about the determination of the gain and PDE can be found in works32,35. The charge corresponding to one photoelectron was 38.7 fC(55.2 V). Using the voltage dependence of the gain, the breakdown voltage was determined to be 52.3 ± 0.06 V. The gain of the MAPD-3NM-2 type photodiode varied between 1.2 and 3 × 105. This value fully corresponds to the previously determined value. The capacitance of a single-pixel was found to be 13.7 fF. The PDE of the MAPD-3NM-2 type photodiode varied between 16% and 35%, depending on the applied voltage.

The dependence of gain and PDE on the voltage for the MAPD-3NM-2 type photodiode.

In MAPD-3NM-2 type photodiodes, the quenching of the avalanche process occurs due to electrons collected in the potential well where the pixels are located. To determine the number of these electrons, a rectangular light pulse with a width of 250 microseconds and a frequency of 5 kHz was applied to the MAPD-3NM-2 type photodiode using an LED. Additionally, a PIN photodiode was used to calculate the number of photoelectrons generated by a rectangular LED pulse. The signal from the MAPD-3NM-2 type photodiodes was fed to an oscilloscope through a 5 kΩ load resistor. Figure 3 shows the pulse shapes for the PIN (black) and MAPD-3NM-2 type photodiodes (red). Using the difference in the areas of both signals, the area captured by the MAPD-3NM-2 type photodiode pixels was found to be 9.38 × 10− 7V×sec. Dividing this value by the load resistance (5 kΩ) gave the total charge captured by the pixels as 186.6 × 10− 12 C. Dividing this charge by the total number of pixels (3.7 × 3.7 × 4857 = 66,500 pixels), the charge per pixel was determined to be Qpix = 186.6 × 10− 12 C / 66,500 = 2.81 × 10− 15 C. Dividing this charge by the electron charge, the number of electrons per pixel was found to be 1.75 × 104 electrons. This charge accumulates in each pixel, ensuring the reduction of the electric field and resulting in the quenching of the avalanche process.

Waveforms of the photo-response of the PIN and MAPD-3NM-2 type at 450 nm wavelengths were recorded with a standard signal OWON Smart DS8202 oscilloscope.

A 450 nm LED light-emitting diode was used to determine the linearity of the MAPD-3NM-2 type photodiode. The frequency of the light pulse from the generator to the LED was 3 kHz, with a pulse width of 40 ns. By increasing the signal amplitude from 2.6 to 4.6 V, the photo, and dark currents of the MAPD-3NM-2 type photodiode were measured, and then the number of photoelectrons per pulse was calculated. Figure 4 shows the dependence of the number of photoelectrons per pulse on the signal amplitude applied to the LED as recorded by the MAPD-3NM-2 type photodiode. As seen from the dependence, the MAPD-3NM-2 type photodiode maintained its linearity even when the number of photoelectrons per pulse reached 33.000.

The dependence of the number of photoelectrons detected by the MAPD-3NM-2 type photodiode on the amplitude of the LED.

To determine the dark count rate (DCR) of the MAPD-3NM-2 type photodiodes, a CAEN amplifier with a gain of 150 was used. The bandwidth of this type of amplifier was 200 MHz. A voltage of 55 V (dark current 600 nA) was applied to the MAPD-3NM-2 type photodiode, and the resulting dark counts were recorded using an OWON Smart DS8202 oscilloscope (Bandwidth-200 MHz) by varying the threshold amplitude. Figure 5 shows the signal shapes corresponding to one and two electrons on the oscilloscope screen. The amplitude of the dark electron corresponding to one electron was approximately 5.4 mV. The DCR experiment was conducted at a temperature of 22 °C. Figure 5 shows the variation of the DCR as a function of the threshold amplitude. The DCR varied from 0.01 to 5 MHz depending on the threshold value. The DCR corresponding to one electron was 2.3 MHz. The DCR per 1 mm² was calculated as DCR (1.e) = 2.3 MHz / (3.7 × 3.7 mm²) = 168 kHz / mm². The approximate DCR per pixel was DCR (1 pixel) = 168 kHz / 4857 pixels = 34 Hz/pixel.

The signal shape of dark electrons in the MAPD-3NM-2 type photodiode was recorded with the OWON Smart DS8202 oscilloscope and variation of DCR for the threshold value.

Figure 6 shows the dependence of the breakdown voltage of the MAPD-3NM-2 type photodiode on temperature. Low-temperature experiments (−67 to + 7 °C) were conducted using liquid nitrogen. During the determination of the breakdown voltage in the temperature range of −67 to + 21 °C, the single photoelectron distribution method was used. It was determined that the breakdown voltage changed by (44.78 ± 0.31) mV/°C as a function of the temperature. At higher temperatures, the single photoelectron distribution method could not be used to determine the breakdown voltage due to a sharp increase in dark current, which triggers the avalanche process in the pixels and makes it impossible to obtain the single photoelectron distribution. Therefore, in the temperature range of + 27 to + 47 °C, the breakdown voltage was determined using the differential dependence of the dark current. It was found that the breakdown voltage changed by (50 ± 2) mV/°C as a function of the in this range. Overall, in the temperature range of −7 to + 47 °C, the breakdown voltage changed according to the following relationship: Ubr.=(51.003 ± 0.0014)+(45.92 ± 0.38)mV×T( °C). It was determined that the breakdown voltage changes by 45.9 mV/°C with temperature.

Dependence of the breakdown voltage of the MAPD-3NM-2 type photodiode on temperature.

In Fig. 7, the effect of gamma radiation on the physical properties of the MAPD-3NM-2 is investigated. Cobalt-60 with an activity of 131 GBq was used as the gamma radiation source. The MAPD-3NM-2 type photodiode was irradiated with a total dose of 10 kGy in one run. This irradiation dose is considered equivalent to the dose detectors receive in 10 years of cosmic research52,53,54. The initial dark current of the MAPD-3NM-2 type photodiode at operating voltage was 510 nA.After irradiation with a gamma dose of 10 kGy, the dark current of the photodiode increased to 4967 nA, is an increase by a factor of 9.7. Such an increase in dark current is attributed to the emergence of new generation centers due to radiation damage.

Dependence of the dark current of the MAPD-3NM-2 type photodiode on voltage before and after gamma irradiation.

In Fig. 8a, the sensitivity of the MAPD-3NM-2 type photodiode to a 450 nm LED is shown to vary with dose. Rectangular pulses with a duration of 100 ns, an amplitude of 3.1 V, and a frequency of 5 kHz were applied to the LED from the generator. The signal from the MAPD-3NM-2 type photodiode was analysed using a CAEN-5720 ADC. The amplitude and FWHM of the recorded photo signal were calculated using the Gaussian distribution. A PIN photodiode was used to determine the number of photons per pulse packet. At this time, a total of 8000 photons were detected per pulse packet. Before irradiation, the amplitude of the photo-signal recorded with the MAPD-3NM-2 type photodiode at an overvoltage of 3 V fell to channel 17,429 of the CAEN-5720 ADC, with an FWHM of 194.05 channels. The peak resolution for the recorded photo signal with the MAPD-3NM-2 type photodiode was 1.11%. After irradiation with a gamma dose of 10 kGy, the amplitude of the photo-signal corresponding to the same photon shower fell to channel 17,270 of the ADC, with an FWHM of 206.4 channels. The peak resolution for the recorded photo signal with the MAPD-3NM-2 type photodiode was 1.19%. After irradiation, the change in the amplitude of the photo signal was 0.91%, and the change in the FWHM was 6.3%. The peak resolution decreased by ~ 7%.

In Fig. 8b, the differences in FWHM are visually shown by plotting the two photo signals normalized to the same peak position. The change in peak resolution is explained by the triggering of avalanche processes of charge carriers generated by radiation defects in the pixels (in other words, that the pixel is busy or that the avalanche process in the pixel is not completely quenched). These resulted in different amplitudes of the photo-electron recorded in the same pixel compared to the pixel when the avalanche process was completely quenched (or the avalanche process was not triggered by the carrier). Furthermore, due to defects, the increased dark current also adds different charges to the recorded photo signal, which in turn contributes to the expansion of the FWHM corresponding to the photo signal54.

Amplitude distribution of the photo-signals recorded with the MAPD-3NM-2 type photodiode before and after exposure to gamma radiation with dose of 10 kGy: (a) as measured, and (b) with peak maxima positions normalized to overlap the peaks for a comparison of their widths.

Thus, investigations into gamma irradiation have shown that even after a dose of 10 kGy, the photodiode largely retains its operational parameters.The main parameters of MAPD-3NM-2 photodiode is given Table 1.

LSO and LaBr3(Ce) are two in-organic scintillators that have been used in the measurements. The dimensions and parameters of these scintillators used are given in Table 2.

Internal background captured with an HPGe detector for LSO (a) and LaBr3(Ce) (b) scintillators.

The internal background captured with an HPGe detector for the LaBr3(Ce) scintillator over 5641 s is shown in Fig. 8. Two gamma lines with energies of 788.74 keV and 1435.79 keV were observed in the spectrum. The 788.74 keV gamma line is emitted when the 138La isotope transitions to the 138Ce isotope through beta decay. The other gamma line occurs when 138La transitions to 138Ba- isotope through electron capture (EC). The specific activity of 136La isotope in the LaBr3(Ce) scintillator was 3.4 ± 0.2 Bq/g.

illustrates the configuration of the array used in the experiment. The array consisted of 16 elements of MAPD-3NM-2 type photodiodes. The total area of the array was 289 mm2, with an active area of 219.04 mm2. The fill factor of the array was approximately 76%.

Figure 10. Illustrates the configuration and top view of the 16-element MAPD-array based on MAPD-3NM-2 type photodiodes: 1 shows the array housing, 2 shows the array assembled with MAPD-2 type photodiodes, 3 displays the base constructed with the MAPD-array using a 3D printer, and 4 depicts the MAPD array and scintillator.

Figure 11 also displays the spectrum captured with the LaBr3(Ce) scintillator for the 60Co source. In this case, a variable gain of 10 dB and an integration window of 135 nanoseconds were selected for the MAPD Spectrig. The energy resolution for the 1.17 MeV and 1.33 MeV gamma rays emitted by the 60Co source was 3.25% and 3%, respectively. Thus, the energy resolution obtained with the LaBr3(Ce) scintillator for the 1.33 MeV gamma ray was 2.5 times better compared to LSO. The difference in energy resolution is proportional to the light output of the scintillators and their maximum emitted wavelength.

The spectra of gamma rays from the 60Co source captured with the (a) LSO and (b) LaBr3(Ce) scintillator coupled to MAPD array.

Figure 12 illustrates the experimental setup used with the AmBe source. The activity of the AmBe source used was 37 GBq. The neutron source was placed inside a PET-containing box measuring 12 cm × 12 cm × 15.5 cm. At this time, the average energy of the fast neutrons emitted from the source was 4 MeV. Additionally, when a neutron interacts, the excited carbon atom resulting from the reaction emits a gamma ray with an energy of 4.44 MeV: 9Be + α → 13C* →12C + n + γ. In the PET composition, these neutrons participate in elastic and inelastic scattering with hydrogen and carbon. When fast neutrons undergo inelastic scattering with a carbon atom, they transfer part of their energy to the carbon atom’s nucleus. As a result, the nucleus becomes excited and emits a gamma ray with an additional energy of 4.44 MeV: n + 12C → 12C* + n’ → 12C + γ (4.44 MeV). These events ensure the observation of events corresponding to gamma rays with an energy of 4.44 MeV in the spectrum. The fast neutrons emitted from the source participate in numerous elastic scattering events with hydrogen, losing their energy and being converted into thermal neutrons. These thermal neutrons are then captured by hydrogen nuclei to form deuterium (H21) isotopes, resulting in the emission of a gamma ray with an energy of 2.223 MeV: n1 + H11 → H21 + γ (2.223 MeV).

Experimental setup for measurement. 1 - SPECTRIG MAPD, 2 – MAPD array assembled with LaBr3(Ce) or LSO scintillator, 3 - PET target, and 4 - AmBe neutron source.

In Fig. 13, the spectrum recorded with the LSO scintillator is shown. An 8-minute measurement duration was chosen for both scintillators. As seen from the spectrum, alongside 2.223 MeV energy gamma rays, 4.44 MeV energy gamma rays are also observed. The high density of the LSO scintillator allows for high detection efficiency of gamma rays. As seen from the spectrum, the LSO scintillator allows for the detection of gamma rays at the upper energy range of the spectrum: 4.44 MeV, 3.927 MeV (4.44–0.511 MeV) (Single escape peak), and 3.416 MeV (4.44 MeV − 1.022 MeV) (Double escape peak). The energy resolution for the 2.223 MeV energy gamma ray with the LSO-based detector was 6.89%. The area of the photopeak corresponding to the 2.223 MeV energy gamma ray was 4814 events. It was determined using a Gaussian fit.

Spectrum of gamma rays emitted from the AmBe source and PET target with the LSO + MAPD array.

Spectrum of gamma rays emitted from the AmBe source and PET target with the LaBr3(Ce) + MAPD array.

In Fig. 14, the spectrum recorded with the LaBr3(Ce) scintillator is shown. As seen from the spectrum, alongside 2.223 MeV energy gamma rays, 4.44 MeV energy gamma rays are also observed. Additionally, a 1436 keV energy gamma ray resulting from La-138 decay is observed in the spectrum. This gamma line was also observed when measuring the intrinsic background of LaBr3(Ce) using HPGe (Fig. 9b). As seen from the spectrum, the LaBr3(Ce) scintillator allows for the detection of peaks corresponding to gamma rays at the upper energy range of the spectrum: 4.44 MeV, 3.927 MeV (4.44–0.511 MeV), and 3.416 MeV (4.44 MeV − 1.022 MeV). It should also be noted that the internal radioactive contamination due to 227Ac and the events created by alpha particles (5-7.4 MeV) emitted by its daughter nuclei cover the energy range of 1.8–2.5 MeV in the spectrum28,56. These events affect the spectrum of the 2.223 MeV energy gamma ray. The energy resolution for the 2.223 MeV energy gamma ray with the LaBr3(Ce)-based detector was 3.55%. The area of the photopeak corresponding to the 2.223 MeV energy gamma-ray in this spectrum was 3960 events.

To verify the measurements made with the neutron source, the latter was simulated using Geant4 framework57 (version 4-10-06) with the physics list QGSP_BIC_HP, which performs precision simulations of neutrons in matter. The scintillator and source geometry shown in Fig. 12 were used. The AmBe source was simulated as a mixture of three components: fast neutrons, slow neutrons, and 4.44 MeV gamma rays accompanying the emission of a neutron from the AmBe source in 75% of cases (due to the alpha reaction on beryllium). Finally, the simulated spectrum was broadened to the resolution estimated from the experimental data.The simulation results are shown in Fig. 15. It shows that the simulated spectra are in good agreement with experimental data in the energy range (1–5) MeV.

Comparison of simulated and experimental spectra of AmBe(PET) for LSO (top) and LaBr3(Ce) (bottom).

The calibration curve obtained for both scintillators is shown (Fig. 16). The MAPD array maintained its linearity with both scintillators and the following linear dependencies between the ADC channel and energy were determined:

Calibration curve of the detector based on LaBr3(Ce) and LSO + MAPD array.

For LSO ADC channel = 50.22 + 468.133 × E(MeV).

For LaBr3(Ce) ADC channel = 26.39 + 161.98 × E(MeV).

Thus, gamma rays resulting from the hydrogen interactions were recorded with both scintillators. Gamma rays arising specifically from 12C, and their Compton scattering add complexity to the spectrum and negatively impact the energy resolution of the detectors. Most gamma rays from 12C in the spectrum are formed through the reaction 9Be + α → 13C* →12C + n + γ, especially in the highly active AmBe source. The high density of the LSO scintillator allows for 21.5% more efficient detection of 2.223 MeV gamma rays compared to the LaBr3(Ce) scintillator. The best energy resolution for the 2.223 MeV gamma ray associated with hydrogen was 3.55% with the LaBr3(Ce) scintillator. This energy resolution obtained with the LaBr3(Ce) scintillator is 48.5% better compared to the LSO scintillator. The worse energy resolution in comparison with LSO is due to the higher light output of LaBr3(Ce). The calibration curve for detectors based on MAPD array and LSO-LaBr3(Ce) scintillators was linear in the energy range of 1.1–4.44 MeV.

The experiments conducted demonstrated that both detectors can provide information about the presence of hydrogen in the target.

Future experiments are planned to improve the obtained results:

To eliminate the negative impact of gamma rays from 12C and their Compton scattering on the gamma spectrum of hydrogen, experiments will be conducted using a monoenergetic neutron generator.

Use of CeBr scintillators with low internal background.

Investigation of changes in the number of gamma events corresponding to hydrogen (peak area) recorded by the detector using various hydrogen-containing materials (water-ice, etc.) and volumes.

Testing the detector in various combinations (soil-stone-water) is planned.

Reducing the influence of background radiation in the spectrum using lead shielding.

The ongoing research on the gamma ray spectrometer based on new MAPD-3NM-2 type photodiodes with LaBr3(Ce) and LSO scintillators has demonstrated promising results for hydrogen detection. The comparative analysis between the two scintillators indicates that the LaBr3(Ce) scintillator provides superior energy resolution for the 2.223 MeV gamma-ray, associated with hydrogen, compared to the LSO scintillator. Specifically, the LaBr3(Ce) scintillator achieved an energy resolution of 3.55%, which is 48.5% better than the 6.89% resolution achieved with the LSO scintillator. However, the LSO scintillator-based detector detected 21.5% more 2.223 MeV gamma rays, indicating a trade-off between detection efficiency and energy resolution.

These findings suggest that both scintillators have distinct advantages depending on the specific requirements of the detection task. The LaBr3(Ce) scintillator, with its better energy resolution, is particularly advantageous for precise gamma-ray spectroscopy. In contrast, the LSO scintillator, with its higher detection efficiency, may be better suited for scenarios where maximizing the count of detected gamma rays is critical.

The research also highlights the robustness of MAPD-based detectors in space research applications, given their compact size, low power consumption, and resistance to radiation. This ongoing study contributes valuable insights into optimizing detector configurations for planetary exploration and other applications requiring precise and efficient gamma-ray detection.

All data generated or analysed during this study are included in this published article.

Goldsten, J. O. et al. The messenger gamma-ray and neutron spectrometer. Space Sci. Rev. 131 (1), 339–391 (2007).

Article  ADS  CAS  Google Scholar 

Evans, L. G. et al. Major-element abundances on the surface of mercury: results from the MESSENGER gamma-ray spectrometer. J. Geophys. Res. 117 (L07), E00. https://doi.org/10.1029/2012JE004178 (2012).

Mitrofanov, I. G. et al. The mercury gamma-ray and neutron spectrometer (MGNS) onboard the mercury planetary orbiter of the Bepi Colombo Mission: design updates and first measurements in space. Space Sci. Rev. 217, 67. https://doi.org/10.1007/s11214-021-00842-7 (2021).

Article  ADS  MATH  Google Scholar 

Jun, I. et al. W., A study of Venus surface elemental composition from 14 MeV neutron induced gamma ray spectroscopy: Activation analysis, nuclear instruments and methods in physics research section A: Accelerators, spectrometers, detectors and associated equipment. 629, (1), 140–144. https://doi.org/10.1016/j.nima.2010.10.112 (2011).

Karunatillake, S. et al. Chemical compositions at mars landing sites subject to mars odyssey gamma ray spectrometer constraints. J. Geophys. Res. 112 (E08S90). https://doi.org/10.1029/2006JE002859 (2007).

Boynton, W. V. et al. The mars odyssey gamma-ray spectrometer instrument suite. Space Sci. Rev. 110, 37–83. https://doi.org/10.1023/B:SPAC.0000021007.76126.15 (2004).

Article  ADS  CAS  MATH  Google Scholar 

Mitrofanov, G. et al. Hydrogen mapping of the lunar south pole using the LRO neutron detector experiment LEND. Science 330, 483–486. https://doi.org/10.1126/science.1185696 (2010b).

Article  ADS  CAS  PubMed  MATH  Google Scholar 

Litvak, M. L. et al. The variations of neutron component of lunar radiation background from LEND/LRO observations. Planet. Space Sci. 122, 53–65. https://doi.org/10.1016/j.pss.2016.01.006 (2016).

Article  ADS  CAS  MATH  Google Scholar 

Feldman, W. C. et al. Gamma-Ray, Neutron, and alpha-particle spectrometers for the lunar prospector mission. JGR Planets 109 E07S06. https://doi.org/10.1029/2003JE002207 (2004).

Peplowski, P. N. The global elemental composition of 433 Eros: first results from the NEAR gamma-ray spectrometer orbital dataset. Planet. Space Sci. 134, 36–51. https://doi.org/10.1016/j.pss.2016.10.006 (2016).

Article  ADS  CAS  MATH  Google Scholar 

Thomas, D. et al. The composition and origin of the c, P, and d asteroids: Water as a tracer of thermal evolution in the outer belt. Icarus 88 (1), 172–192. https://doi.org/10.1016/0019-1035(90)90184-B (1990).

Prettyman, T. et al. Elemental mapping by dawn reveals exogenic H in Vesta’sregolith. Science 338, 242. https://doi.org/10.1126/science.1225354 (2012).

Article  ADS  CAS  PubMed  Google Scholar 

Knoll, G. F. Radiation Detection and Measurement fourth edn (Wiley, 2010).

Arai, M. & Crawford, K. Neutron sources and facilities. In: (eds Bilheux, H., McGreevy, R. & Anderson, I.) Neutron imaging and applications. Neutron scattering applications and techniques. https://doi.org/10.1007/978-0-387-78693-3_2 (Springer, Boston, MA, 2009).

Lawrence, D. J. et al. Small-area thorium features on the lunar surface. J. Phys. Res. 108 (E9), 5102. https://doi.org/10.1029/2003JE002050 (2003).

Article  ADS  CAS  MATH  Google Scholar 

Boynton, W. V. et al. Concentration of H, Si, cl, K, Fe, and Th in the low- and mid-latitude regions of mars. J. Geophys. Res. 112 (E12S99). https://doi.org/10.1029/2007JE002887 (2007).

Evans, L. G. et al. Analysis of gamma ray spectra measured by mars odyssey. J. Geophys. Res. 112 (E03S04). https://doi.org/10.1029/2005JE002657 (2007).

Lawrence, D. J. et al. Evidence for water ice near mercury’s north pole from MESSENGER Neutron spectrometer measurements. Science 339 (6117), 292–296. https://doi.org/10.1126/science.1229953 (2013).

Article  ADS  CAS  PubMed  MATH  Google Scholar 

Litvak, M. L. et al. Local variations of bulk hydrogen and chlorine content measured at the contact between the sheepbed and Gillespie lake units in Yellowknife bay, Gale crater, using the DAN instrument onboard curiosity. J. Geophys. Res. 119, 1259–1275 (2014).

Mitrofanov, I. G. et al. Water and chlorine content in the martian soil along the first 1900 m of the curiosity rover traverse as estimated by the DAN instrument. J. Geophys. Res. 119, 1579–1596 (2014).

Article  CAS  MATH  Google Scholar 

Sanin, A. B. et al. Testing lunar permanently shadowed regions for water ice: LEND results from LRO. JGR Planets 117 E00H26. https://doi.org/10.1029/2011JE003971 (2012).

Hardgrove, C. et al. The lunar polar hydrogen mapper CubeSat mission. IEEE Aerosp. Electron. Syst. Mag. 35 (3), 54–69. https://doi.org/10.1109/maes.2019.2950747 (2020).

Honniball, C. I. et al. Molecular water detected on the sunlit moon by SOFIA. Nat. Astron. 5 (2), 121–127. https://doi.org/10.1038/s41550-020-01222-x (2020).

Takabe, M., Kishimoto, A., Kataoka, J., Sakuragi, S. & Yamasaki, Y. Performance evaluation of newly developed SrI2(Eu) scintillator. Nucl. Instrum. Methods Phys. Res. Sect. A 831, 260–264. https://doi.org/10.1016/j.nima.2016.04.043 (2016).

Article  ADS  CAS  Google Scholar 

Arneodo, F., Di Giovanni, A. & Marpu, P. A. Review of requirements for gamma radiation detection in space using CubeSats. Appl. Sci. 11, 2659. https://doi.org/10.3390/app11062659 (2021).

Article  CAS  MATH  Google Scholar 

Pilania, G., Liu, X. Y. & Wang, Z. Data-enabled structure–property mappings for lanthanide-activated inorganic scintillators. J. Mater. Sci. 54, 8361–8380. https://doi.org/10.1007/s10853-019-03434-7 (2019).

Article  ADS  CAS  MATH  Google Scholar 

Holik, M. et al. Gamma ray detection performance of newly developed MAPD-3NM-II photosensor with LaBr3(ce) crystal. Sci. Rep. 12, 15855. https://doi.org/10.1038/s41598-022-20006-z (2022).

Article  ADS  CAS  PubMed  PubMed Central  MATH  Google Scholar 

Ahmadov, G. et al. Gamma-ray spectroscopy with MAPD array in the readout of LaBr3:Ce scintillator. JINST 16 P07020. https://doi.org/10.1088/1748-0221/16/07/P07020 (2021).

Akbarov, R. et al. Fast neutron detectors with silicon photomultiplier readouts. Nucl. Instrum. Methods A 936, 549–551. https://doi.org/10.1016/j.nima.2018.11.089 (2019).

Article  ADS  CAS  MATH  Google Scholar 

Holik, M. et al. Investigation of the possibility of a new detector based on SiPM in nuclear forensics. J. Instrum. 18 https://doi.org/10.1088/1748-0221/18/01/c01015 (2023). 1. P. C01015.

Ahmadov, F. et al. Investigation of parameters of new MAPD-3NM silicon photomultipliers. JINST 17 (C01001). https://doi.org/10.1088/1748-0221/17/01/C01001 (2022).

Sadigov, A. Z. et al. Improvement of parameters of micro-pixel avalanche photodiodes. JINST 17 P07021 (2022).

Nuruyev, S. et al. Neutron/gamma scintillation detector for status monitoring of accelerator-driven neutron source IREN. Nuclear Eng. Technol. https://doi.org/10.1016/j.net.2023.12.020

Nuriyev, S. et al. Performance of a new generation of micropixelavalanche photodiodes with high pixel density and high photon detection efficiency. Nucl. Instrum. Methods A 912, 320–322. https://doi.org/10.1016/j.nima.2017.12.006 (2018).

Article  ADS  CAS  MATH  Google Scholar 

Nuruyev, S. et al. Performance of silicon photomultipliers at low temperature. J. Instrum. 15 (03), C03003. https://doi.org/10.1088/1748-0221/15/03/C03003 (2020).

Sadygov, Z., Sadigov, A. & &Khorev, S. Silicon photomultipliers: Status and prospects. Phys. Part. Nucl. Lett. 17, 160–176. https://doi.org/10.1134/S154747712002017X (2020).

Sadygov, Z. et al. Technology of manufacturing micropixel avalanche photodiodes and a compact matrix on their basis. Phys. Part. Nucl. Lett. 10 (7), 780–782. https://doi.org/10.1134/S154747711401018X (2013).

A.Sadigov, S. et al. A micropixel avalanche phototransistor for time of flight measurements. Nucl. Instrum. Methods A 845, 621–622. https://doi.org/10.1016/j.nima.2016.06.081 (2017).

Article  ADS  CAS  MATH  Google Scholar 

Holik, M. et al. Miniaturized read-out interface spectrig MAPD dedicated for silicon photomultipliers. Nucl. Instrum. Methods A 978, 164440. https://doi.org/10.1016/j.nima.2020.164440 (2020).

Article  CAS  MATH  Google Scholar 

Sadigov, A. et al. Performance of styrene polymerized plastic scintillator with micropixel avalanche photodiode, radiation measurements. https://doi.org/10.1016/j.radmeas.2024.107061

Ahmadov, F. et al. A new physical model of Geiger-mode avalanche photodiodes. JINST 15 (C01009). https://doi.org/10.1088/1748-0221/15/01/C01009 (2020).

Fazzi, A., Nocente, M., Tardocchi, M. & Medical imaging conference. A large area SiPM array coupled to a LaBr3 crystal for a TPR spectrometer. In 2013 IEEE Nuclear Science Symposium and (2013 NSS/MIC). https://doi.org/10.1109/NSSMIC.2013.6829683

Cozzi, G. et al. High-resolution gamma-ray spectroscopy with a SiPM-based detection module for 1’’ and 2’’ LaBr 3: ce readout. IEEE Trans. Nucl. Sci. 65, 645. https://doi.org/10.1109/TNS.2017.2784238 (2018).

Article  ADS  CAS  MATH  Google Scholar 

Montagnani, GL, Buonanno, L., Di Vita, D. & Carminati, M. Spectroscopic Performance of A SR Co-Doped 3 '' Labr 3 Scintillator Read by A Sipm Array. Nucl. Instrum. Methods at 931, 158. Https://doi.org/10.1016/j.nima.2019.03.067 (2019).

Article  ADS  CAS  MATH  Google Scholar 

Kim, J. H. et al. JINST 13P07018 (2018).

Tomoya, M. et al. Development of an MPPC-based gamma-ray detector onboard a radiation source imager under high-dose environments and initial performance results. Nucl. Instrum. Methods A 1046 167544. https://doi.org/10.1016/j.nima.2022.167544 (2023).

Zhang, Y. et al. JINST 17P07011 (2022).

Wang, Q. et al. Development of a gamma spectroscopy detector based on SiPMs and 1 ce:GAGG scintillator. J. Appl. Math. Phys. 11, 2156–2164. https://doi.org/10.4236/jamp.2023.117137 (2023).

Ajasni, A. et al. Iop Conf. Being. Mater. Sci. Eng. 1106 012028 (2021).

Sengupta, S. & Johnston, M. L. A SiPM-based gamma spectrometer with field-programmable energy binning for data-efficient isotope analysis. In IEEE Transactions on Circuits and Systems I: Regular Papers 70, (3), 1133–1146, https://doi.org/10.1109/TCSI.2022.3199484 (2023).

Kushpil, V. et al. J. Phys. Conf. Ser. 675 012039 (2016).

Pagano, R. et al. Radiation hardness of silicon photomultipliers under 60Co γ-ray irradiation, nuclear instruments and methods in physics research section A: Accelerators, spectrometers, detectors and associated equipment. 767, 347–352, https://doi.org/10.1016/j.nima.2014.08.028 (2014).

Sun, Y. & Zhang, Shenzhen, Guohong, Quan, Lin, C. Zheng, Tian, ​​Chao, Tao, Zhang, Huanxin, Ding, Jianjing, Yuan, Bin and Zhang, Binquan. Radiation doseter and charge detector onboardBeiDou navigation satellites in MEO Open Astronomy. 32, (1) 2022020205.https://doi.org/10.1515/astro-2022-0205 (2023).

Ahmadov, F. Development of new micro pixel avalanche photodiodes, investigation their physical properties and application in radiation spectrometer (doctoral thesis). radiation materials science baku. (2022).

Ko, K. et al. Discrete convolution-based energy spectrum configuring method for the analysis of the intrinsic radiation of 176Lu. Sensors 21 (21), 7040. https://doi.org/10.3390/s21217040 (2021).

Article  ADS  CAS  PubMed  PubMed Central  MATH  Google Scholar 

Cheng, H. et al. Intrinsic background radiation of LaBr3(ce) detector via coincidence measurements and simulations. Nucl. Sci. Tech. 31, 99. https://doi.org/10.1007/s41365-020-00812-8 (2020).

Agostinelli, S. et al. Geant4 - A simulation toolkit. Nuclear Instr. Methods Phys. Res. A 506, 250–303 (2003).

Article  ADS  CAS  MATH  Google Scholar 

This work has partly received funding from the European Union’s Horizon 2022 Research and Innovation Programme under Marie Sklodowska-Curie’s DETMED project (grant agreement ID 101129879).

Institute of Radiation Problems- Ministry of Science and Education, B.Vahabzade Str. 9, Baku, AZ1143, Azerbaijan

F. Ahmadov, A. Ahdizov, A. Mammado, R. Akbarov, S. Nuruyev & Z. Sadygov

Department of nuular research of Idda, Bakushamakhy HW 20 Km, Gobusett. ofabsheron Dist., Baku, AZ 0100, Azerbaijan

F. Ahmadov, A. Sadigov, K. ISayev, G. Ahmadov, R. Akbarov, J. Nagiyev, S. Nuruyev & Z. Sadygov

Azerbaijan University of Architecture and Construction, AynaSultanova St.5, Baku, AZ1073, Azerbaijan

V. Lashkaryov Institute of Semiconductor Physics NAS of Ukraine, 45 Nauky Ave., Kyiv, 03028, Ukraine

Yu. Yu. Bacherikov & O. Okhrimenko

V. I. Vernadsky Institute of General and Inorganic Chemistry NAS of Ukraine, Academician Palladin Ave., 32/34, Kyiv, 03142, Ukraine

Faculty of Electrical Engineering - University of West Bohemia in Pilsen, Univerzitní 26, Pilsen, 306 14, Czech Republic

Institute of Experimental and Applied Physics-CzechTechnicalUniversity in Prague, Husova 240/5, Prague, 110 00, Czech Republic

M. Holik, T. Slavicek, F. Mamedov & Yu. Shitov

Khazar University, 41 Mahsati Str., Baku, AZ1096, Azerbaijan

The Institute of Nuclear Physics, Ibragimova 1, Almaty, 050032, Kazakhstan

Requinte, Nova School of Science and Technology, University New of Lisbon, Caparica, 2829-516, Portugal

S. I. Lyubchyk & S. B. Lyubchyk

DEEPTECHLAB, RCM2+. Universidadelusóphon, Campo Grande, 376, Lisbon, 1749-024, Portugal

S. I. Lyubchyk & S. B. Lyubchyk

You can also search for this author in PubMed  Google Scholar

You can also search for this author in PubMed  Google Scholar

You can also search for this author in PubMed  Google Scholar

You can also search for this author in PubMed  Google Scholar

You can also search for this author in PubMed  Google Scholar

You can also search for this author in PubMed  Google Scholar

You can also search for this author in PubMed  Google Scholar

You can also search for this author in PubMed  Google Scholar

You can also search for this author in PubMed  Google Scholar

You can also search for this author in PubMed  Google Scholar

You can also search for this author in PubMed  Google Scholar

You can also search for this author in PubMed  Google Scholar

You can also search for this author in PubMed  Google Scholar

You can also search for this author in PubMed  Google Scholar

You can also search for this author in PubMed  Google Scholar

You can also search for this author in PubMed  Google Scholar

You can also search for this author in PubMed  Google Scholar

You can also search for this author in PubMed  Google Scholar

F. A. - Study design, data collection, and manuscript preparation. (A) S., Yu.Yu. (B) - Study design and manuscript preparation. K. I. - MAPD array preparation. M. H. - Analysis and data duration. T. S., F. M., G. A. - Data collection, and manuscript preparation. A. M., J. N. - Analysis, spectrometry. R. A. - Analysis, experimental circuit preparation. D. B., Yu. S., O.O. - Manuscript preparation. S. N. - Analysis, experimental circuit preparation. Z. S - Supervision and review and editing. . S.I.L. - Resources, . S.B.L. - Project administration.

Correspondence to F. Ahmadov, A. Sadigov or yu. Yu. Bacherikov.

The authors declare no competing interests.

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Ahmadov, F., Sadigov, A., Bacherikov, Y.Y. et al. A gamma-ray spectrometer based on MAPD-3NM-2 and LaBr3(ce) and LSO scintillators for hydrogen detection on planetary surfaces. Sci Rep 15, 2823 (2025). https://doi.org/10.1038/s41598-025-85845-y

DOI: https://doi.org/10.1038/s41598-025-85845-y

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

Scientific Reports (Sci Rep) ISSN 2045-2322 (online)

holmium fluoride Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.