Introduction

The mechanisms by which electrons are accelerated in geospace are a key research area in solar-terrestrial plasma physics. Relativistic electrons are trapped in the outer Van Allen radiation belt. The electron flux is known to decrease rapidly during the main phase of the magnetic storms, and then increases during the storms’ recovery phase (Baker et al. 1986; Nagai 1988; Reeves et al. 2003). The processes causing flux variation must be investigated with comprehensive in situ observations. Particle acceleration occurs in various environments around astronomical objects such as supernova remnants and pulsar-wind nebulae (Makishima 1999). Moreover, the Earth’s radiation belts offer a unique opportunity to observe these particles and waves in situ. Armed with an understanding of the acceleration mechanism in geospace, some insight might be gained into the phenomena of electron acceleration in other astronomical objects.

The exploration of energization and radiation in geospace (ERG) project explores the acceleration, transportation, and loss of relativistic electrons in the radiation belts and the dynamics of storms in geospace (Miyoshi et al. 2012; Miyoshi et al. in review). To gain a detailed understanding of the acceleration and transport processes, the electrons must be observed over a wide range of energies and electromagnetic fields with a wide range of frequencies. The experiment observes a wide range of geospace particles, including the warm electrons, hot electrons of the plasma sheet, and sub-relativistic and relativistic electrons of the radiation belts. The satellite uses four instruments, namely LEP-e, MEP-e, HEP, and XEP, in order to measure electrons over this wide range of energies (Kazama et al. 2017; Kasahara et al. 2018a; Higashio et al. in review). The high-energy electron experiments (HEP) onboard the ERG satellite detects 70 keV–2 MeV electrons and generates a three-dimensional velocity distribution of electrons for every period of the satellite’s spin. This energy range covers relativistic electrons and their seed electrons. The full suite of instruments aboard the ERG observes a wide range of electrons. Three additional devices have been installed: XEP (Higashio et al. in review) detects electrons with energies of 0.4–20 MeV, MEP-e (Kasahara et al. 2018a) detects electrons with energies of 7–87 keV, and LEP-e (Kazama et al. 2017) detects electrons with energies of 17 eV–20 keV. In MEP-e, the electrons are energy-filtered by an electrostatic analyzer and the maximum detected energy is 87 keV. To allow for continuous energy coverage, the lower detection range of HEP overlaps with the maximum MEP-e energy.

The ERG satellite, which is also known as ‘Arase,’ was launched from the Uchinoura Space Center at 11:00 on December 20, 2016, by using the Epsilon launch vehicle. The spacecraft attained an orbit with an apogee and perigee altitude of approximately 32,000 and 400 km, respectively. This allowed the satellite to record observations over the entire extent of the radiation belts. After all the instruments and functions were successfully checked, the scientific observations commenced in late March 2017.

This paper describes the design of the HEP instruments, prelaunch testing, and initial results of the in-orbit observations.

Instrument design

HEP consists of two types of telescopes, namely HEP-L and HEP-H, which have different geometric factors (G-factor) and energy ranges. As summarized in Table 1, HEP-L observes 70 keV–1.0 MeV electrons, and the G-factor of its three detector modules is 9.3 × 10−4 cm2 sr. HEP-H observes 0.7–2.0 MeV, and its G-factor is 9.3 × 10−3 cm2 sr. These G-factors are numerically calculated and account only for the geometrical information regarding the collimator and detectors. Since the effective area of the detectors can be selected via parameters in the readout electronics, the above G-factor is a maximum value. If we assume that the maximum electron flux in the satellite’s orbit is 109 × (E/[keV])−2, then, the total count rate is estimated to be 4.4 kHz above 70 keV, and 440 Hz above 0.7 MeV by using the G-factor of the HEP-L module, for which the total count of electrons above 0.7 MeV in each eight-second rotation period is estimated to be 3.5 × 103 over 4π steradians. To detect more electrons at 0.7 MeV, the geometric factor of HEP-H is designed to be ten times larger than that of HEP-L. A photograph of the HEP flight model is shown in Fig. 1. Three HEP-L and three HEP-H modules are housed in the hexagonal cylinder, and the electronics boards are housed in the black box. Each of the three sides of the hexagonal cylinder has two slits, through which the electrons enter the instrument. Figure 2a illustrates the HEP’s mounting onto the ERG satellite and marks its fields of view as gray areas corresponding to approximately 60° × 10°. The HEP instrument is mounted on the panel normal to the + X axis of the ERG satellite. As the satellite rotates around the Zsc-axis, HEP covers 4π steradians. As shown in Fig. 2b, each module has a 60° field of view in the elevation angle, and each one is divided into five channels, such that one channel corresponds to 12°. HEP-L and HEP-H consist of three pin-hole cameras, and each camera consists of a mechanical collimator, stacked silicon semiconductor detectors, and application-specific integrated circuits (ASICs) to readout the signal. HEP-H has a larger collimator opening angle in order to attain a larger G-factor than that of HEP-L. Additionally, HEP-H utilizes more detectors to detect higher-energy electrons. Because the electrode of the silicon detector is segmented, the position at which an incident electron interacts can only be determined in one dimension. Each HEP-L module utilizes four silicon strip detectors (SSDs), while each HEP-H module has eight SSDs. The collimator design and SSD placement are illustrated in Fig. 3, and Table 2 lists the sizes of the SSDs.

Table 1 HEP performance and specifications. Resolution is indicated by full-width at half maximum (FWHM)
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Fig. 1
figure 1

Photograph of HEP flight model. The marked axes are the satellite coordinates shown in Fig. 2. In the left part of the figure, it can be seen that the hexagonal cylinder houses three HEP-L modules and three HEP-H modules. Electronics boards are housed in the black box shown in the right part of the figure. Each of the three sides of the hexagonal cylinder includes two cutouts through which the electrons enter the HEP-L/HEP-H sensors

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Fig. 2
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a HEP mounted on ERG satellite and b instruments’ field of view. The HEP instrument located on the + Xsc panel of the ERG satellite (not to scale). The satellite rotates around the Zsc-axis. Fields of view of six detector modules are shown as gray areas; each module has a 60° (Elevation) × 10° (Azimuth) field of view. b Fields of view of three detector modules are shown as gray areas in the YZ-plane. Each module has a field of view of 60° and is divided into five channels such that each channel covered 12°. Elevation angle (θ) is the angle between + Zsc and the electron incident direction

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Fig. 3
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Collimator geometry and size of detector in one HEP module. Upper figure illustrates collimator and stack of silicon strip detectors (SSDs) (one 50-μm-thick detector and three 600-μm-thick detectors). Lower figure marks dimensions of collimator and detector stack of HEP-H. The silicon stack of HEP-H consists of one 50-μm-thick sheet and seven 600-μm-thick sheets. The values of A, B, C, a, b, c, L, R, and d are listed in the table at the upper right area of the figure. When not otherwise noted, the manufacturing tolerance is 0.1 mm. HEP-L and HEP-H collimators consist of stacked thin Al plates with square holes, and their dimensions are listed in the lower right table

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Table 2 Sizes of silicon strip detectors used in HEP
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Signal processing

Electrons passing through the collimator interact with the SSDs and deposit energy inside them. The interaction positions and amount of deposited energy are measured by the SSDs in conjunction with the readout electronics. A functional block diagram for the instrument is shown in Fig. 4. The SSD modules in HEP-L and HEP-H are independently controlled by two control boards that include field programmable gate arrays (FPGAs) and point-of-load (POL) DC–DC converters to power the ASICs. The central processing unit (CPU) board is part of the ERG mission network (Takashima et al. 2018) and utilizes the SpaceWire data link to receive command packets and send telemetry data. The CPU board collects the histogram data from the control boards, in addition to the data collected to monitor the instrument’s condition. The SSD bias voltage is supplied by a high-voltage–power supply board that includes two independent high-voltage DC–DC converters, whose power and reference voltage are controlled by the control boards. HEP also has an interface for the software wave-particle interaction analyzer (S-WPIA) clock signal, which is used to determine the electron incidence timing and generate packets for the wave-particle analyzer software included in the mission data processor (Hikishima et al. 2018). We describe each of these functional blocks in further detail below.

Fig. 4
figure 4

Functional block diagram of HEP instrument. The three HEP-L and HEP-H SSD modules are controlled independently by two control boards. A central processing unit (CPU) board receives command packets and sends telemetry data to the mission network. The CPU board collects histogram data from the control boards in addition to instrument-status data. The bias voltage of the SSDs is supplied from a high-voltage–power supply board that includes two independent high-voltage DC–DC convertors, with the power and reference voltage controlled by the control boards

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Stacked silicon strip detector module

The total silicon thicknesses for the SSDs in HEP-L and HEP-H are 1.85 and 4.25 mm, respectively. These silicon thicknesses correspond to the range of 850 keV and 1.7 MeV electrons, respectively, according to the ESTAR web database of electron stopping powers and ranges, which is maintained by the National Institutes of Standards and Technology (NIST). The incident direction of the detected particles is determined from the position of the interaction at the first layer and the geometrical position of the collimator. To determine the interaction position, HEP uses SSDs, whose electrodes are subdivided into closely spaced strips. As summarized in Table 2, HEP-L consists of one 50-μm-thick SSD and three 600-μm-thick SSDs, while HEP-H consists of one 50-μm-thick SSD and seven 600-μm-thick SSDs. All SSDs were manufactured by HAMAMATSU Photonics. K. K. The full depletion voltage of the silicon wafers, from which the detectors were made, was 18 and 80 V for the 50- and 600-μm-thick SSDs, respectively. To choose the operation bias voltages for the SSDs, we measured the spectra by using a radioisotope while changing the bias voltage. We chose 20 and 200 V as the operation bias voltage for the 50- and 600-μm-thick SSDs, respectively.

To block the protons, an Al sheet is placed in front of the 50-μm-thick SSD. The Al shield for HEP-L is 12.5 μm thick. This is the typical length traveled by a 0.9-MeV proton in Al, based on the PSTAR proton-range table provided by NIST. Therefore, the protons with lower energy are stopped in the Al sheet. To reduce the incidence of low-energy electrons in HEP-H, a 300-μm-thick Al sheet is placed in front of the stacked SSDs. This thickness corresponds to the typical distance traveled by the 6.5-MeV protons or the 0.3-MeV electrons in Al. The 50-μm-thick SSD is also utilized to separate the electrons and protons penetrating the Al sheet. To illustrate this concept, Fig. 5 shows the results of a simple detector simulation with the Geant4 toolkit, which simulates the passage of particles through matter. Figure 5a shows the differential flux of the electrons and protons at L = 3 based on the AE8MAX/AP8MAX model (see the web page ‘AE-8/AP-8 Radiation Belt Models’). The simulation irradiates the electrons or protons according to the energy distribution onto the stacked SSD shielded by an Al sheet with the same thickness as that of the Al sheet installed on HEP-L. Figure 5b shows the simulated energy spectra to be measured by the 50-μm-thick SSD. In this case, the counts above the energy of 140 keV are generally caused by protons. Therefore, proton contamination can be reduced by ignoring the events for which the energy at the thin SSD is larger than 140 keV. However, the energy threshold depends on the relative distributions of electrons and protons. By taking these considerations into account, HEP is equipped with a function that assessed an incident particle as a proton if the deposited energy at the first layer is higher than a certain threshold and if the energy deposited in the second layer approximated zero. This function can be disabled, and the threshold energy Eth can be set remotely.

Fig. 5
figure 5

a Differential fluxes of electrons and protons at L = 3 based on AE8 MAX and AP8 MAX models; b detected energy spectra in first layer of stacked SSD when flux shown in a irradiates stacked SSDs of HEP-L

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The position resolution is determined by the pitch of the strips in the 50-μm-thick SSD. To estimate the number of strips that will detect an incident charge, we simulate the interaction of electrons with the detector by using the Geant4 toolkit. In the simulation, a monoenergetic pencil beam of electrons is irradiated onto the detector at normal incidence from the collimator input. 100- and 500-keV beams are simulated to test HEP-L, and 750-keV and 1.5-MeV beams are simulated to test HEP-H. The standard deviations of the strip ID in HEP-L, which detects the maximum energy in the first layer, are 8.2 strips for the 100-keV electrons and 2.9 strips for the 500-keV electrons, while those in HEP-H are 7.5 strips for the 750-keV electrons and 7.1 strips for the 1.5-MeV electrons. When calculated by the distance between the collimator and the detector, which is indicated by R in Fig. 3, these values correspond to the incidence angles of 9.7°, 3.5°, 7.9°, and 7.4°, respectively.

The detection signal from each strip is read out by an ASIC called VATA460.3. We have developed VATA460.3 in collaboration with IDEAS in Norway. Its development has carried out based on the designs of high-energy particle sensors aboard the BepiColombo MMO (Saito et al. 2010) and the soft gamma-ray detector aboard the Astro-H (Watanabe et al. 2014). As shown in Fig. 6, VATA460.3 consists of 32-channel low-noise MOS amplifiers and Wilkinson 10-bit analog-to-digital converters (ADCs). The ASIC’s power consumption is 0.6 mW/ch. Each channel included a charge-sensitive preamplifier, a fast CR-RC shaping amplifier followed by a discriminator that generated a trigger signal for the readout sequence, and a slow CR-RC shaping amplifier followed by a sample-and-hold circuit for pulse-height analysis. The preamplifiers accept a maximum input of 90 fC, which corresponds to 2 MeV in Si. The fast and slow shaping times are 0.6 and 2 µs, respectively, and each one can be tuned by using the control registers. The Wilkinson ADC converts the held pulse height to a digital value in less than 100 µs. The digital data from the 32 channels are multiplexed and displayed on a serialized digital interface. The strips in the first layer are read out by three ASICs, and those in the lower layers are read out by two ASICs each. Therefore, 9 and 17 ASICs are used in one SSD module of the HEP-L and HEP-H, respectively. To tune the bias parameters and channel logic, each ASIC has a 520-bit control register. The tunable parameters include the shaping time and global threshold for each chip, and information on whether the trigger output for each channel is enabled. With these registers, we can change which channels issues the trigger signals from the ground. This means that the effective detection area can be reduced by disabling the triggers, which resulted to a reduced G-factor.

Fig. 6
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Functional block diagram for VATA460.3, which consists of 32-channel low-noise MOS amplifiers and Wilkinson 10-bit analog-to-digital converters (ADCs). Each channel includes a charge-sensitive preamplifier, a fast CR-RC shaping amplifier followed by a discriminator generating a trigger signal for the readout sequence, and a slow CR-RC shaping amplifier followed by a sample-and-hold circuit for pulse-height analysis. The digital data from the 32 channels are multiplexed and read out on a serialized digital interface

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Data processing and observation modes

When the control board receives a trigger signal from one of the SSD modules, it issues a sample/hold signal to the ASICs and has them convert the analog data to digital data. Then, the control board reads out the digital data from all of the ASICs. Subsequently, the control board converts the ADC outputs to energy values and adds the contributions from all layers in order to calculate the total deposited energy. The detailed signal processing of an event is illustrated in Fig. 7 and is as follows: a trigger signal is issued if more than one of the outputs from the fast shapers in the ASICs of the first SSD layer is larger than the threshold. The control board sends a sample/hold signal to all of the ASICs with a defined delay after the triggering signal. The control board supplies the ADC clocks and receives a signal from the ASICs when the conversion has finished. After receiving these signals from all of the ASICs, the control board supplied the readout clocks of the ASICs. After reading out all of the data, the control board resets the digital part of the ASICs and waits for the next trigger signal. The total deposited energy and incident direction for each electron event are determined in this sequence. HEP generates telemetry data according to the operation mode and has the following four operation modes: setting mode, normal observation mode, S-WPIA observation mode, ASIC calibration mode, and event mode. In the setting mode, the ASIC control parameters, FPGA registers, and CPU software parameters can be set. Moreover, the ASIC control registers can only be set in this mode. In the normal observation mode, the energy histograms are generated onboard. Fifteen histograms corresponding to the channels shown in Fig. 2 are generated based on the deposit energy and incident elevation angle of each detected particle (θ in Fig. 2). The data accumulation continues for 1/16th of the satellite spin period, and the data are sent by the CPU software as telemetry data. Therefore, in normal observation mode, 240 histograms are generated for every spin. Each histogram has 16 energy bins, as listed in Table 1. In the S-WPIA observation mode, the packets for the S-WPIA are produced in addition to the normal observation mode data. The energy, incident direction, and timing information of each electron are sent to the mission data recorder. The prime objective of the S-WPIA is to measure the energy exchanged between the whistler-mode chorus emissions and the energetic electrons in the inner magnetosphere (Katoh et al. 2018). By assuming that 10 kHz is the highest electron cyclotron frequency along the satellite’s orbit at the equator, the wave period of the chorus emissions is found to be approximately 100 μs. A detection accuracy greater than 10 μs can resolve the wave phase in the order of tens of degrees. To achieve this accuracy, HEP receives the S-WPIA clock signals at 524.288 kHz (1.9-μs period) from the plasma wave experiment (Kasahara et al. 2018b) instrument and has a counter module to count the clock signals. When HEP receives a trigger signal from the SSD modules, it latches the counter and adds the value to the S-WPIA data in order to achieve time indexing at a resolution of 1.9 μs. In the ASIC calibration mode, the waveforms of all ASIC channel shaping amplifier outputs are produced with test pulses. The raw ASIC data can be obtained in the event mode, and all individual event ASIC channel data are sent as telemetry data, for detailed calibration purposes. However, only a small portion of the triggering data can be relayed because the available telemetry data are limited.

Fig. 7
figure 7

Timing chart for signal processing with VATA460.3. Readout sequence begins with trigger signal from ASICs in first SSD layer. The CONTROL board inputs a sample/hold signal to all ASICs after a defined delay from the trigger signal. The CONTROL board supplies the ADC clocks and receives a signal from the ASICs when the conversion is finished. After receiving confirmation from all ASICs that the A/D conversion has completed, the CONTROL board supplies the ASICs readout clock. After reading out all the data, the CONTROL board resets the digital part of the ASICs and waits for the next trigger signal

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In accordance with the ERG science observation plans, in the normal observation phase of ERG, HEP operates in the normal observation mode by default and enters the S-WPIA mode several times during a one-orbit revolution.

Preflight testing

For the energy calibration of all SSD channels, we tested the instrument with radioactive isotopes. We measured the energy spectra of all strips by using γ-ray sources placed in front of each SSD module. Figure 8 shows the spectrum of one SSD channel. From the center of the 60-keV γ-ray peak shown in this figure, the gain was calculated in order to serve as the conversion factor of the ADC to return energy values. Figure 9 shows the gains of all ASIC channels. HEP-L and HEP-H have 864 and 1632 channels, respectively (nine ASICs per HEP-L module and 17 ASICs per HEP-H module). Channels 0–95, 288–384, and 576–672 for HEP-L, and channels 0–95, 544–640, and 1088–1184 for HEP-H correspond to the 50-μm-thick SSD in the first layer of the stacked detectors. Because the deposited energy is expected to be small in the 50-μm-thick SSD, the parameters to control the ASIC A/D conversion are set such as needed to obtain a higher ADC value than that of the 600-μm-thick SSD. The variation of the gains is caused by the individual ASIC characteristics. In the first layer, the average gain of the ASICs is 0.92 ch/keV, while that in the lower layers is 0.46 ch/keV. Additionally, the standard deviations are 4.5 and 2.9%, respectively. With these settings, the ASICs of the first layer and those of the lower layers cover the incident energies up to 1 and 2 MeV, respectively. The SSD dead layer is less than 3 μm, where the 70-keV electrons lose 2.9 keV (according to ESTAR). For the HEP requirements, this effect can be ignored.

Fig. 8
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γ-ray spectrum obtained by HEP SSD recorded with 241Am radioactive isotope

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Fig. 9
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VATA460.3 gain of all a HEP-L and b HEP-H channels of SSD modules. The dotted vertical lines indicate the first channel of each ASIC. The strips in the first layer are read out with three ASICs, and those in the lower layer are read out with two ASICs per layer. Therefore, 9 and 17 ASICs are used in the HEP-L and HEP-H SSD modules, respectively. Channels 0–95, 288–384, and 576–672 of HEP-L, and channels 0–95, 544–640, and 1088–1184 of HEP-H correspond to the first layer, which is the 50-μm-thick SSD

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The overall performance of the HEP was tested with electron beams from a particle accelerator, and a single-ended Pelletron system (National Electrostatics Corporation, Model 6SH) at JAXA’s Tsukuba Space Center (see the webpage of Space environment measurement laboratory at JAXA). The beam intensity ranges from 1 fA to 10 nA, and the system can generate electrons with energies of 0.4–2.0 MeV. The HEP was placed in a vacuum chamber such that the beam direction was parallel to the YscZsc-plane marked in Fig. 1. Then, it was irradiated with monoenergetic electron beams. By rotating the HEP instrument around the Xsc-axis in the chamber, all SSD modules were irradiated with the beam and the detected energies and angular responses were recorded. The beam intensity was tuned such that the count rates for the SSD module were approximately a few hundred Hz. Figure 10 shows the energy spectra obtained with the HEP flight model when the input electron energy was 300, 500, and 750 keV for HEP-L, and 750 keV, 1.2 MeV, and 1.8 MeV for HEP-H. In these tests, we used the electron beam with a normal incidence to the SSDs. The triggers from the strips in the first layer were enabled, and the total deposited energy was determined by summing up the contributions of all layers. The spectral peaks were fitted with a Gaussian function in addition to a straight line. The full-width at half maximum (FWHM) values were 34 keV at 300 keV, 89 keV at 500 keV, and 118 keV at 750 keV for HEP-L, while those for HEP-H were 125 keV at 750 keV, 143 keV at 1.2 MeV, and 231 keV at 1.8 MeV. An energy resolution of less than 20% was realized. According to ESTAR, the energy loss at the 300-μm-thick Al sheet of HEP-H is 0.12 MeV for a 0.7–2 MeV electron. The difference between the energy of the input electrons and the detected energy was consistent with the energy loss. Moreover, the loss should be considered when we infer the incident energy of the electrons from the detected signals, and the low-energy tails in the spectra should also be considered. To evaluate the incident-angle response, the HEP instrument was rotated around the Xsc-axis marked in Fig. 1. The measured angular responses when changing the beam incident angle are shown in Fig. 11. The figure shows the histograms that resulted from the measurements with seven and three different incident angles for HEP-L and HEP-H, respectively. To evaluate the angular resolution, the histograms had more bins than the azimuthal channels in Fig. 2, while the histograms of HEP-L and HEP-H had 60 bins and 12 bins covering 60°, respectively. Thus, the bin width of the HEP-L and HEP-H responses were 1° and 3°, respectively. These values are smaller than the angle uncertainty caused by the position resolution, which is estimated based on the detector simulation described above. Based on the responses, the angular resolution had a FWHM of approximately 4° (4 bins) and 15° (5 bins) for HEP-L and HEP-H, respectively.

Fig. 10
figure 10

Electron spectra measured with HEP flight model. a Spectra detected by HEP-L show electrons with 300, 500, and 750 keV of energy. b Spectra detected by HEP-H show electrons with energy of 750 keV, 1.2 MeV, and 1.8 MeV. Dotted line shows result of fitting with Gaussian function in addition to straight line

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Fig. 11
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Angular response measured with HEP flight model. a Angular responses measured while changing the beam incident angle on HEP-L (i.e., rotating HEP around Xsc-axis in Fig. 1); bin width is 1°. b Angular responses measured when changing beam incident angle on HEP-H (i.e., rotating HEP around Xsc-axis in Fig. 1); bin width is 3°

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In-orbit operation and flight performance

On February 2, 2017, HEP was turned on for the first time while in orbit, and the initial checkout was successful. The bias voltage of the silicon detectors was limited below 50 V, and the count rates were monitored for several days.

On February 6, 2017, a nominal bias voltage of 200 V was applied, and the detector performance was tested and found to be normal. We checked the noise level and waveform of the shaping amplifier output for every channel. The waveforms of several channels are shown in Fig. 12, alongside the waveforms measured before launch, for comparison purposes. The peak times and pulse heights were not different before and after the launch.

Fig. 12
figure 12

Waveforms of shaping amplifier output measured while in orbit (right) compared to preflight measurements (left) for performance verification

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After the other instruments aboard the ERG had finished the initial checkouts followed by the verification of the overall operation plan, the ERG satellite was shifted to its normal observation phase in late March 2017. Since March 16, 2017, HEP has been operating in the normal observation mode, and several parameters controlling the channels triggered by the SSDs have been changed. Figure 13 shows the energy–time (E–t) spectrograms, which represent the change in the time of the spin-averaged count rate observed by HEP with the L-value, which is the radial distance of the electron drift orbits in the magnetic equatorial plane, and is measured in units of Earth radii. The E–t spectrograms in Fig. 13 cover 2 days and five orbital revolutions. As the satellite moves through different L-values, the observed count rates change and peak at L = 4–5, which corresponds to the outer radiation belt, as expected. Near the orbit’s perigee (L = 3), HEP ceases the observation because of the high count rates of high-energy protons. The counts measured with HEP-L in the vicinity of 0.9 MeV increase near the perigee because of high-energy protons.

Fig. 13
figure 13

Energy–time spectrograms observed via HEP flight-count data on March 17 and 18, 2017. The top panel shows L-value of ERG satellite position. Middle and bottom panels show energy–time spectrograms from HEP-L and HEP-H, respectively. Colors indicate raw count not corrected for G-factor or detection efficiency

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Summary and future work

The HEP instrument has successfully begun the observation of electrons with energies of 70 keV–2 MeV in the Earth’s inner magnetosphere. The HEP consists of three HEP-L modules and three HEP-H modules. HEP-L detects 70 keV–1 MeV electrons and has a maximum G-factor of 9.3 × 10−4 cm2 sr, while HEP-H observes 0.7 MeV–2 MeV electrons and has a maximum G-factor of 9.3 × 10−3 cm2 sr at maximum. These modules are pin-hole cameras consisting of mechanical collimators and SSDs. The signals from a total of 2355 strips are processed by 78 readout ASICs. Before the satellite was launched, all channels were evaluated with reference signals from radioactive isotopes and the overall HEP performance was evaluated with electron beams. In orbit, the waveforms of the calibration pulses indicated that the HEP functioned properly after it was launched. From the initial results of the energy–time spectrograms, the HEP recorded high electron count rates in the outer radiation belt.

A simulation of the detector is under development in order to convert the count data to physical quantities with higher precision. We will model the HEP detector geometry and particle interaction with the detectors and surrounding materials by utilizing the Geant4 library. After the validation tests of the simulator and the comparisons between the simulation results and the experimental results, we will be able to calculate the detector response by using the simulator. As shown in Fig. 10, monoenergetic electrons can be detected in lower energy channels. A spectrum detected in orbit is the superposition of signals from electrons with different energy. By using the simulator, we can estimate how many of the detected counts in the lower energy channels are contributed by higher-energy electrons, and thereby determine the incident flux with higher precision. Thus, we will be able to deduce the distribution of incident electrons with higher precision from the direction and energy detections in orbit. A detailed report regarding the simulator and its validation will be published in the future.