|
1.IntroductionThe Hitomi x-ray mission1 (formerly called Astro-H) was launched on February 17, 2016, from Tanegashima Space Center by the Japan Aerospace Exploration Agency (JAXA). The international mission was performed in collaboration with the National Aeronautics and Space Administration, the European Space Agency, and the Canadian Space Agency (CSA). The mission included several instruments (four telescopes and five detectors) geared to explore the high-energy universe between 0.3 and 600 keV.1 Two of the four telescopes were hard x-ray telescopes2 (HXTs), each focused photons with energies between 5 and 80 keV to identical imaging detectors called the Hard X-ray Imager3 (HXI) located 12 m away. To achieve the long focal length without compromising the compact launch package an extensible optical bench (EOB) was used. The HXI detectors were placed at the end of the 6-m EOB. Once extended, the EOB would be subject to distortions primarily from thermal fluctuations in low-earth orbit that would degrade HXI image quality. With the desired objective of providing good quality images, the effect of the distortion needs to be corrected. The CSA contribution to the mission was the Canadian Astro-H Metrology System (CAMS). The CAMS was a laser alignment system that measured lateral ( and ) displacement along the optical bench between the HXTs and HXIs. Two identical CAMS units were installed and used in conjunction to provide the capability to measure lateral translation and rotation in the optical bench. These measurements were used to correct and enhance the images obtained with the HXIs. Much of the efforts leading up to the CAMS flight system appeared in earlier work. The original concept was introduced in Ref. 4, while hardware testing and initial calibration appeared in Ref. 5. Preflight qualification, calibration, and thermal testing were examined in Ref. 6. This paper provides an overview of the CAMS and focuses specifically on in-flight performance. In the next section, an overview of the CAMS concept is provided. Commissioning activities are discussed in Sec. 3, and in-flight data analysis and processing is presented in Sec. 4. In-flight performance and results are discussed in Sec. 5. 2.CAMS Overview2.1.Basic Concept Design and Physical CharacteristicsThe CAMS consists of two identical units. Each unit measures the lateral displacement (), and in combination, the rotation of the HXI plate relative to the fixed optical bench (FOB). The positioning of the CAMS units on the satellite is shown in Fig. 1. Each CAMS consists of a laser and detector module (CAMS-LD) and a target module (CAMS-T). The CAMS-LD modules are installed on the top plate of the FOB next to the HXTs. The CAMS-T is a passive retroreflector (corner cube mirror) placed on the HXI plate at the end of the EOB 12-m away from the CAMS-LD. The CAMS concept is rather straightforward and shown in Fig. 2. A continuous wave laser beam at 980 nm wavelength generated by a diode laser (3S Photonics 1994 SGP) is launched from the CAMS-LD modules and travels through the interior structure of the satellite. The laser strikes the retroreflector of the CAMS-T and is reflected back to the CAMS-LD. The beam expander in the LD unit reduces the beam size by an expansion ratio . The CMOS imaging detector of detects the position of the laser beam. There is a linear relationship between the EOB lateral shift and the laser spot shift that is recorded by the CMOS detector. If the corner cube is displaced in the lateral direction, then the reflected laser spot shift is scaled by a factor of two. The measured shift from the nominal position on the CMOS detector will be scaled down accounting for the beam expander effects. There are several inherent benefits to the CAMS design. The minimal divergence collimated laser beam makes the system less susceptible to background and stray light issues and minimizes concerns with stray laser light affecting other sensors on the satellite. The laser output power of several mW from the CAMS-LD, and the use of narrowband and neutral density filters, are important to overcome any expected solar background interference. In addition to the linearity of the system, it is also highly sensitive to lateral shifts. A shift on the detector corresponds to a shift of the EOB. The measurement is also not sensitive to the tilt of the corner cube around its apex (Fig. 2). Physical characteristics of the CAMS system are provided in Table 1. Table 1Physical characteristics of each CAMS unit.
A description of the optical components and module structures can be found in Ref. 6. Images of the CAMS-LD and retroreflector are shown in Fig. 3. The key performance requirement for the CAMS system is the measurement accuracy of the HXI-plate position, which is set to a maximum -error of (or 4.297 arcsec). The value is driven by the HXI detector pixel size and the expected point spread function of the HXT. The accuracy requirement represents the key challenge for the CAMS development by imposing microradian scale pointing stability on the optical system while operating in a relatively wide temperature range. While there are other factors that contribute to the CAMS measurement error, their combined effect falls outside of the maximum allowance of . The most prevalent factor is the flexing of the FOB top plate onto which the CAMS-LD is mounted. 2.2.TVAC Performance ResultsCAMS data were collected throughout spacecraft-level thermal vacuum (TVAC) testing. Restricted by the size of the TVAC chamber, the EOB remained retracted as it would during launch. This provided a unique opportunity to measure the CAMS performance in the absence of flexing since the two modules were hard mounted between the two optical benches supporting them. Solar lamps and shades were used to control the operational thermal set points. During testing, the shades were returned to the “closed” position in between set points. This created thermal creeping on the solar lamp exposed multilayer insulation. This phenomenon creates stresses within the structure, which are observable in the CAMS data. Figure 4 shows the measured structural distortion of about for CAMS-1 and for CAMS-2. The CAMS resolution is with an rms measurement noise of . The black dots superimposed on Fig. 4 relate to the detector raw images that were downloaded to verify that the measurements were not influenced by solar lamp background noise. The data are in the CAMS coordinate system and the units are rotated 90 deg to each other on the FOB. 2.3.CAMS-LD Alignment on the FOBThe alignment budget for differences between the incident angle of the laser emitted from the CAMS-LD and the satellite axis were targeted to be less than 10 arcsec in each lateral direction. The feasibility of achieving the alignment target by shimming the CAMS-LD was initially tested by JAXA with the CAMS engineering model during the Mechanical Interface Check in January 2014. With the CAMS-LD flight models mounted on the top plate of the FOB, the laser spot position on the detector was measured when the CAMS-T was placed on the middle plate and then on the lower plate of the FOB. The top plate was 1.3 and 3.4 m from the middle and lower plates, respectively. If the CAMS-LD alignment was perfect, then the laser spot would land on the same detector position when the CAMS-T was in either location. Shims were inserted between the CAMS-LD baseplate and the FOB top plate to achieve laser alignment. After shimming, the laser orientation was measured to be within 15 and 7 arcsec in the and lateral directions with respect to the satellite axis for CAMS-1 and CAMS-2 units, respectively. 3.Commissioning ActivitiesThe CAMS commissioning activities were performed over a 4-day period (Table 2) between February 27, 2016 (launch + 10d) and March 1, 2016 (launch + 13d). Commissioning activities occurred at the Uchinoura Space Center (USC) in the Satellite Telemeter Center, which houses a 34-m antenna, a control room, and an equipment room for various devices such as transceivers. Commissioning uplinks and downlinks were also supported by Santiago Space Center (SNT). Table 2CAMS/EOB operation summary during EOB deployment.
3.1.Turn-On and SnapshotsActivities consisted of reviewing the CAMS telemetry commands that needed to be sent to control the CAMS, reviewing telemetry to confirm the health of CAMS, and validating the image snapshot and download process in preparation for the next few days. Figure 5 is the snapshot images taken on the day launch +10 while the EOB was still stowed, showing that both units survived the launch. The distortions seen in the images were caused by laser beam segmentation on the corner cubes and diffraction on the corner cube center and boundaries between the petals. These distortions were expected to dissipate in the extended EOB configuration. Telemetry indicated the CAMS units were operating within nominal temperature range and there were no errors reported other than saturation of the unit readings in flight module-1. This was fully anticipated and evident in the image [Fig. 5(a)]. While the EOB was still stowed, the CAMS measurement deviations were compared with temperature changes in the telescope optics heaters and orbital temperature changes to investigate the influence of temperature variations on-board. Temperature changes in the heaters would occur on timescales of 10 to 20 min whereas orbital temperature fluctuations would occur on timescales. Figure 6 illustrates how the heater cycling did indeed influence the CAMS measurements by inducing stresses in the FOB top plate onto which CAMS-LD was mounted. Note, the measurements in Fig. 6 were calculated assuming the extended length of the EOB to demonstrate the anticipated full impact of heater cycling on the CAMS measurements. Fluctuations in the displacement on the order of 1 mm are seen in the and directions on timescales consistent with heater cycling. In Fig. 6(d), the absolute accuracy of the system is tested. Here, the value is shown, which is the distance between the two units. The measurement is a sanity check to verify that both lasers travel in a parallel path, and nominally, the value of should be 600 mm. The effect of heater cycling introduced an uncorrectable error of rms, corresponding to 1.5 arcsec, and will be further discussed in Sec. 3.4. 3.2.EOB ExtensionOn day launch +11, the CAMS was used to monitor the deployment of the EOB.7 The EOB is an extensible mast structure comprising 23 stages, of which 22 are extensible. After full extension, it becomes 6377 mm in length (689 mm in stowed configuration). The EOB, whose total weight is 42.2 kg, pushes and sustains the HXI plate, which has a mass of , throughout the extension operation. During EOB extension, the CAMS generated data pairs with both units. At the same time, the triaxial angular velocities of the spacecraft were monitored with the inertial reference unit (IRU). Figure 7 shows the calculated EOB translation and rotation based on the combined data from both units. The extension motion can easily be unstable even for small perturbations since the HXI plate is massive and the EOB is not completely stiff. In fact, the HXI plate was sufficiently unstable in the lateral direction that the extension operation was manually suspended on four occasions that were determined by monitoring the CAMS and the IRU data. These delays occurred at 2:17UT, 2:59UT, 3:02UT, and 3:53UT during the extension of the 7th, 14th, 20th, and 23rd stages, respectively. The vibrations damped quickly (within ) and the extension process resumed after confirmation that the EOB was sufficiently steady. Even with such careful consideration, the unsteadiness was unexpectedly large during the last extension to the latch point that the rotation rate of one of the four reaction wheels (RWs) exceeded a preset limit and that RW was shut off by the fault detection isolation and reconfiguration (FDIR). Despite such challenges, the EOB was fully extended and the CAMS real-time data proved extremely beneficial in the process. 3.3.Parameter AdjustmentOn day launch +12, after successful EOB deployment, the snapshots in Fig. 8 were obtained and inspected to ensure the laser beams were operating normally. The laser beam shapes were Gaussian, as expected, alleviating concerns prior to launch that interference patterns were observed from both units. The concentric patterns observed in Fig. 8 are effects of laser diffraction on dust particles present in the optical system close to the CAMS detector. This diffraction does not impact the CAMS centroid calculation and measurement. A beam quality factor, returned in the telemetry, matched values obtained during the unit calibration process. The beam quality factor provided by CAMS was used to quantify the quality of the data that go into calculating the centroid. It is based on the Pearson coefficient to compare sampled data points to a Gaussian distribution representing the expected laser beam shape on the detector. Based on ground calibration data of the expected return intensity over the detector [Fig. 9(b)] and parameter sensitivity, the detector gain and laser current could be sequentially modified until reaching the desired intensity [blue dots in Fig. 9(a)]. Initially, the returning laser intensity [red dots Fig. 9(a)] was slightly higher compared to the calibration levels. The returning laser intensity was adjusted until it was within the calibration range (i.e., the red dot fell within the blue uncertainty range in Fig. 9). Figure 9(b) shows the expected intensity returned as a function of beam position on the detector. Figure 9(b) indicates the final beam position (white cross) and the beam size (magenta region concentric to the white cross) relative to the detector FOV. The final calibrated image is displayed in Fig. 10 and shows a Gaussian laser beam of similar intensity in each unit. 3.4.Orbital EffectsThe CAMS parameter adjustment activities were successfully concluded on launch +13 days. Snapshots continued to be acquired from both units to evaluate the parameters throughout the day. Due to minimal EOB motion, the same detector area was consistently imaged. Laser beam quality remained nominal throughout the day providing confidence in the parameter selection. As CAMS telemetry data were cumulated, the effects of night/day cycles on the spacecraft structure became apparent. As shown in Fig. 11, the effect is mostly noticeable in the EOB rotation around the axis [Fig. 11(c)] where there is clear delineation between night and day. A sinusoidal oscillation of (3 arcsec) peak-to-peak amplitude can be seen in the direction [Fig. 11(a)]. The direction exhibits similar oscillations, but is more uneven by what is attributed to the FOB distortions induced by the optics heater cycles. Figure 11(d) shows the calculated distance between the two measurements (), which should nominally be 600 mm if both lasers travel in an ideal parallel path. After deployment of the EOB, the average value was 600.62 mm indicating very small deviations from the projected, gravity-free, FOB deflections. The variations of this value are due to slight differences in the laser direction from the two CAMS units due to thermal distortion of the FOB top plate. Data were scrutinized to explain the higher frequency excursions measured by CAMS. By comparing with the telescope optics heater commands (Fig. 12), correlations with the CAMS data could be confirmed. Heater cycling introduces heat on the FOB top plate, creating stresses, which alter the CAMS-LD laser launch angle. These changes in the launch angle are measured as an EOB deflection on the order of . The effects of heater cycles ultimately limit the accuracy of the CAMS measurements. Although the correlation with heater cycles is evident, it is difficult to accurately distinguish heater-induced displacement in laser launch angle (error) from actual EOB motions. 4.In-Flight Data Analysis4.1.HXI Astronomical Flight DataDuring the limited lifetime of the mission, there were two HXI observations of astronomical objects conducted where the CAMS corrections could be applied and its importance validated. The x-ray observations were of the Crab and the supernova remnant G21.5-0.9. These observations were of significant interest from an instrument calibration point-of-view as the energy distribution in the image is spherical and peaked at the center. The distribution remains constant even when observations are carried out over long periods, therefore any variation would be attributed to spacecraft pointing inaccuracy or movement within the telescope structure. X-ray observations are composed of discrete photon events associated with a pixel position on the imager and a timestamp for an effective exposure of several hours. JAXA had preprocessed the two datasets to contain average pixel position, pixel count, and spacecraft attitude within a sampling period. When aggregated together and corrected for motion, the images can be reconstructed as shown in Fig. 13. Table 3 shows the sampling period for each x-ray source and the average number of photons received. The count rate is significantly lower for G21.5-0.9 resulting in a longer sampling period (hence more time for telescope fluctuations), more scatter, and a greater number of outliers in the centroid measurements. Photons were gathered in the HXI 1/2 coordinate frames, which are rotated to the spacecraft coordinate system (Fig. 15). Table 3X-ray point source data.
4.2.Flight Data ProcessingThis section describes the methodology employed in using CAMS data to correct the HXI images. The procedure is based on earlier work5 and includes several updates and improvements. The orientation of the spacecraft body-frame, denoted by SAT, is shown in Fig. 14 along with the main spacecraft structure. Figure 14 identifies the location and orientation of the coordinate frames for both units of the CAMS and HXI. The CAMS measurements are reported in the CAMS-1 and CAMS-2 reference frames. The orientations of these local coordinate frames are defined by the orientation of each alignment cube,6 but their origins are the geometrical center of the FOV of each unit. A set of CAMS alignment parameters is required for determining the transformation from the CAMS coordinates to the satellite coordinate system (Table 4). Table 4CAMS installation parameters.
Two other frames related to the HXI that are relevant to the data processing are the RAW and ACT coordinate frames (Fig. 15). The ACT (short for active) coordinate frame is a virtual coordinate frame representing the ideal (or nominal) location of the HXI, that is, the location of the HXI when all deformations of the EOB are zero. The RAW coordinate frame is the base sensor frame attached to the HXI. The raw position of photon events observed by the imager is expressed in RAW coordinates, and as such, the RAW frame translates and rotates along with the HXI detectors mounted on the end of the EOB. In the case of zero EOB deformation the ACT, RAW, and HXI frames all have the same orientation but their origins are offset. Prior to applying a CAMS correction to HXI measurements, it is important to ensure that an adequate correction of thermal pointing drifts is applied to the CAMS data themselves. This correction takes into consideration the laser beam displacement caused by temperature variation in the CAMS. Ground-based unit level tests determined linear thermal drift coefficients for correcting the CAMS internal contribution. A contribution to thermally induced laser pointing drift caused by the top plate bending is not included in this correction. The options to implement such a correction were either (i) through on-board processing or (ii) during ground processing. The ground-based approach was selected thus the correction became part of the data processing. The temperature corrected CAMS readings can be calculated using the following pair of expressions: where for each CAMS unit 1 and 2, and are CAMS readings in and ; and CAMS are thermal coefficients obtained via unit level thermal tests; is the temperature of the optical assembly within CAMS and reported in the CAMS telemetry; and is the temperature of the CAMS optics during the ground calibration of the unit. In this case, only one temperature sensor is required for the CAMS correction. Table 5 lists the calibration values required for the thermal correction.Table 5Thermal correction parameters for CAMS.
Next, the four CAMS measurements are used to estimate three parameters representing the three significant relative motion degrees-of-freedom: the two-dimensional (2-D) planar translation and the rotation about an axis parallel to the bore sight. The data processing algorithm begins by calculating the twist angle () followed by the planar displacement. Although the CAMS measurements are planar, they are represented as three-dimensional (3-D) position vectors with a zero value in the direction, i.e., and in each local CAMS coordinate frame (denoted with a superscript). The measurement vectors and the twist angle are shown in Fig. 16, along with the original position of the reflected laser beams 1 and 2, and the displaced position denoted with a prime superscript. The position vectors from one laser beam location to the other, and , are combined with a dot product to calculate the twist angle: To determine the sign of the twist angle the cross product of and is used The previous equations assume that the position vectors and are known and expressed relative to a common reference frame. To calculate and , the location of each CAMS-T unit, and , must be known (see Table 4) and the CAMS measurements, and , must be expressed in a common referenceIt is assumed here that the original reference orientation of the EOB is the nondisturbed nominal orientation, where the targets are located at nominal coordinates. The shifted reading of CAMS must consider a bias () measured at spacecraft calibration (Table 4). A rotation is necessary to express the CAMS measurements in a common frame such as the SAT frame For the orientation of the frames in Fig. 16, the following rotations are used: where is a 3-D rotation matrix for a rotation of an angle about the axis.Once the twist angle is determined, the planar displacement of the EOB is estimated using the centroid position of the CAMS-T1,2 locations. The displacement () is the difference between a vector pointing to the centroid of the original CAMS-T1,2 locations, , after it has been rotated by the twist angle, , and a vector to the centroid of the displaced CAMS-T1,2 locations, This step is shown graphically in Fig. 17. Here a vector pointing to the centroid of any two vectors, and , is found using the following relationship: Expression (6) also takes into consideration that the HXI detectors are elevated 232 mm above the HXI plate and the lateral translational displacement measured by CAMS must be factored. It is found that the higher the HXI detectors are located, the smaller the motion will be if it is caused by bending of the EOB. This does not hold true for the lateral motion associated with the twist angle of the EOB. The rotation associated with twist is preserved without an extra factor. This consideration also means that calculating the HXI detector displacement in the reference frame centered in the physical axis of the rotation becomes important. Once the CAMS data are processed using Eqs. (1)–(8), the position of photon events observed by the HXI, , can be corrected to account for the measured distortion of the EOB relative to the FOB. For this algorithm, the data already include any required correction from spacecraft attitude control sensors. The corrected HXI observation in active coordinates, , are calculated directly using the calculated displacement vector, , and twist angle, , using the following expression: where is the shift of the HXI detector due to translation () and rotation () of the EOB expressed in the SAT reference frame; and the vector from SAT origin to RAW origin in nominal condition is , where is defined in Table 3 and Fig. 14; is as per Fig. 15.The coordinate rotation matrices are The vectors used in this equation are displayed in Fig. 18. When the data from both sensors are obtained in stable ACT coordinate frames, a rotation and superposition are used to generate the final image data obtained from both sensors in the SAT coordinate frame. 5.Flight Data ResultsThe time-binned data from the HXT observations of the Crab and G21.5-0.9 were processed using the algorithm described in Sec. 4. The lateral positions of binned, photon registration events, were first corrected for attitude pointing and then for deflection using CAMS data in their respective coordinate system. Although the Crab and G21.5-0.9 are diffuse x-ray sources that extend at least several tens of arc seconds, the time binning effectively converts the different positions of photons arriving within the time bin period into a centroid location roughly coincident with the center of each x-ray source. After this binning, the data are comparable to a point source with equivalent brightness. It should be noted that the inherent blur of the HXT (several tens of arc seconds) is also reduced drastically for the time-binned centroids as opposed to individual events. Although the binning reduces astronomical information about the source, the importance of the CAMS measurements and corrections could be validated. In each time bin interval, there is a significant number of events (detected photons) landing on the detector. These photons are distributed across the detector because of intrinsic source extent (the source is not a point), telescope blur (due to limited point spread function of the optics), and motions due to spacecraft attitude change and EOB flexing. The time binning effectively averages the positions of all photons arriving during the interval (to be more precise we adopt the median value). Therefore, the distribution of time-binned points will typically be much smaller than the spread in the initial points. This holds if the spread is truly random, which is reasonable for the effects of telescope blurring and the extension of the x-ray source. However, the motions due to flexing of EOB and attitude control are effectively averaged only if they are occurring on timescales shorter than the binning interval. Thus, only relatively fast motions are averaged by the time binning process. This also can be used to assess the validity of initial offset parameters and that were first obtained during the ground alignment. To estimate the nominal offset of the CAMS units with the goal of improving CAMS image correction several parameters are considered
The algorithm adopted for this minimization is the affine invariant Markov chain Monte Carlo ensemble sampling. The reason for this choice is the ability to constrain for physical parameters while leaving a trace of its progress in a form of a probabilistic distribution of the most likely answer. Figure 19 shows the minimization for the combination of “b” and “c.” Other attempts included minimizing “a,” “b,” and “c” independently, and minimizing their combinations. The EOB deployed average positions are estimated based on either HXI data for the two observations combined or from the CAMS measurements for the same observation. These are shown in Table 6. Table 6EOB average deployed position estimates where the zero positions correspond to the centers of the field of view for HXI detectors and CAMS sensors based on ground calibration.
Item “a” was also modified to minimize for optimal vector length and optimal distribution of HXI observations. The interesting finding about this minimization is that the solution returned a set of CAMS 1/2 linear trajectories that provided identical HXI image corrections. The result is the CAMS EOB correction quality is independent of its initial position estimate. The correction applied to the HXI time-binned data is expected to reduce the data spread due to EOB deformations expressed in terms of standard deviation of binned photon coordinates relative to the image center. These standard deviation values for each observation are shown in Table 7. For each instrument and lateral direction, each row in Table 7 demonstrates the sequential improvement to the HXI observation correction. Some improvement comes from attitude correction, given the relatively large attitude swings (Fig. 20). Figure 20 shows the variation of the raw centroid positions, attitude correction, and CAMS measurement during the same time frame for the Crab observation. The centroid of the distribution of Crab photons detected by each HXI in a 1-min sampling period (blue crosses) is compared to the spacecraft attitude pointing deviation (green line), and CAMS measured optical structure deviation (red line). The readings are converted into detector pixel deviation as the desired outcome would be to have the correct photon centroid lie within 1-pixel from the center of the detector. Although, CAMS correction is more subtle than the attitude correction, it does reduce the spread in the image equivalent to a point source by removing the EOB deflection component as reported in Table 7. Figure 21 graphically represents the spread of the data points at different correction levels for observations of both targets. The HXI reported coordinate is converted to the spacecraft coordinate system to ease analysis (Fig. 21). For the Crab observation, one can see that the CAMS correction diminishes the spread in the data points making the final distribution smaller and more symmetric. As noted earlier, the data used in this analysis were aggregated using time binning periods of 60 s for the Crab and 300 s for G21.5-0.9. The total numbers of those periods within each observation are 136 for Crab and 396 for G21.5-0.9. These relatively large sampling periods are driven by the relatively small photon counts detected and to improve photon “centroid” calculation. Despite the larger time binning, the G21.5-0.9 observation contained much fewer data points per time bin, typically 400 counts compared to 20,000 counts for the Crab observation, therefore, the centroiding was less efficient and the corrections are limited by residual diffusion from the source and the HXT blur. This explains the larger standard deviation and more diffuse time-binned data points even after correction. Table 7Standard deviations in x/y of the time-binned data points (centroids) during each observation and the impact of attitude and CAMS corrections on reducing the standard deviations.
One would anticipate the improvement to be similar along the and axes; however, the CAMS improvement was found to be better in the direction than in the . For example, in the Crab observation, the improvement was in the direction and in the (Table 7). This can be understood as arising from the telescope heater cycling observation discussed in Sec. 3.1 that was more substantial in the direction. The temperature drifts in the CAMS instrument are less than 1.5 deg for these two observations; therefore, the expected CAMS accuracy after temperature correction described earlier should be in the range of . The resulting value of about 2.6 arcsec for Crab thus contains a top plate flexing contribution (in the range of 1.5 arcsec) along with other unaccounted factors. The CAMS performance can be assessed using these two observations. If the attitude and thermal effects experienced by the EOB structure occur on timescales shorter than the time binning intervals, applying a correction to individual photons would have likely resulted in a better overall improvement. However, to validate this assumption a bright point source should be used. For extended sources such as the Crab and G21.5-0.9, individual photons are dispersed 17 to 20 arcsec. The CAMS correction based on binned data is in the range of . The CAMS correction improves the initial image spread as the root-mean-square, hence its impact to the overall image size is negligible. Having either a true point source or an extended source with well-defined features would be essential to illustrate the CAMS correction using individual photon data. For better illustration of image reconstruction, the binned HXI data to reconstruct equivalent point-source x-ray images (time-binned images) by representing each binned data point with a Gaussian distribution with a specific width for notional image blur. These images are obtained using the following expression: where is the resulting reconstructed image, is the total number of binned data points, is the counts per data point, and are median grouped coordinates for each data point, and are the mean values of median grouped coordinates for the observation, and is the assumed blur associated with each centroid data point. The reconstruction of these images would ideally have resulted in point sources limited by the blur and residual point spread after the time binning. The images are not expected to retain any structure or features of the actual Crab and G21.5-0.9 sources, as they are lost due to the time binning process.The reconstructed time-binned images are presented in Fig. 22. The adopted blur value was 0.05 mm or 0.86 arcsec. Centered images from both HXI detectors are added to generate them. One may notice that while attitude correction brings significant change in distribution of the data points, especially in its wings, the CAMS correction plays an important role for the shape of the observed source. The impact of the CAMS correction certainly depends on the blur. The impact is assessed by monitoring the full-width-half-maximum (FWHM) of the distribution (root mean square of and values) while changing the assumed blur of the telescope () for the time-binned Crab data (Fig. 23). The FWHM is preferred as an indicator rather than the standard deviation of data points used in Table 7, because it considers the different amount of counts per data point. The actual time-binned images calculated for different values of assumed blur are shown in Fig. 24. This analysis demonstrates that while the attitude correction reaches its limitation of how much it improves at a level of 6 arcsec, the addition of CAMS continues improving the FWHM up to 2 arcsec. Therefore, the CAMS metrology becomes more important for higher resolution x-ray imaging. 6.ConclusionsCAMS operations over the short duration of the Hitomi mission were successful, achieving micrometer resolution for the lateral shift in the EOB. In addition to its primary purpose, the CAMS was employed in unexpected manners. The CAMS aided in the initial deployment of the EOB, providing crucial real-time information that was not otherwise available. It also provided highly precise information that could be used to understand the dynamics of the spacecraft structure. Such information was never acquired before. The primary function of the CAMS was to improve HXI imaging quality by measuring displacement and rotation in the EOB deformation. Using astronomical observations of the Crab and G21.5-0.9, it is demonstrated that when the CAMS correction is applied in conjunction with the attitude correction, the HXI images are always improved. The CAMS measurement precision is limited by external factors such as the deformation of the FOB structure, where the CAMS-LD was mounted, due to the telescope optics heater cycling. It is also demonstrated that the CAMS correction becomes more important for higher resolution x-ray imaging. The necessity to achieve long focal lengths while limiting costs by launching compact, light-weight structures, makes the demand for similar metrology systems widespread in space astronomy. A similar alignment system8–10 is used on the NuSTAR satellite and it will continue to be required for several upcoming missions11–13 in x-ray astronomy. AcknowledgmentsThe authors are grateful to the entire CAMS team at the Canadian Space Agency and Neptec Design Group for their dedication to the project. We are also thankful to the JAXA team for their help in developing the CAMS. Thanks to Hans Krimm and Lorella Angelini for incorporating the CAMS correction into the pipeline. We are very appreciative to Professor Tadayuki Takahashi for his patience and leadership. LCG acknowledges funding from the Canadian Space Agency. The authors have no conflicts of interest to disclose. ReferencesT. Takahashi et al.,
“The Astro-H (Hitomi) x-ray astronomy satellite,”
Proc. SPIE, 9905 99050U
(2016). https://doi.org/10.1117/12.2232379 PSISDG 0277-786X Google Scholar
H. Awaki et al.,
“Performance of the Astro-H hard x-ray telescope (HXT),”
Proc. SPIE, 9905 990512
(2016). https://doi.org/10.1117/12.2231258 PSISDG 0277-786X Google Scholar
K. Nakazawa et al.,
“The hard x-ray imager (HXI) onboard Astro-H,”
Proc. SPIE, 9905 990511
(2016). https://doi.org/10.1117/12.2231176 PSISDG 0277-786X Google Scholar
L. Gallo et al.,
“The Canadian Astro-H metrology system,”
Proc. SPIE, 8443 844354
(2012). https://doi.org/10.1117/12.926371 PSISDG 0277-786X Google Scholar
L. Gallo et al.,
“The Canadian Astro-H metrology system,”
Proc. SPIE, 9144 914456
(2014). https://doi.org/10.1117/12.2054921 PSISDG 0277-786X Google Scholar
A. Koujelev, L. C. Gallo, S. Gagnon,
“Canadian Astro-H metrology system,”
Optical Payloads for Space Missions, John Wiley & Sons, Ltd., Chichester, United Kingdom
(2015). https://doi.org/10.1002/9781118945179 Google Scholar
K. Ishimura et al.,
“Induced vibration of high-precision extensible optical bench during extension on orbit,”
Jpn. Soc. Aeronaut. Space Sci.,
(2017). Google Scholar
C. C. Liebe et al.,
“Metrology system for measuring mast motions on the NuSTAR mission,”
IEEE Sens. J., 12 2006
–2013
(2012). https://doi.org/10.1109/JSEN.2011.2181355 Google Scholar
C. C. Liebe et al.,
“Calibration and alignment of metrology system for the nuclear spectroscopic telescope array mission,”
Opt. Eng., 51
(4), 043605
(2012). https://doi.org/10.1117/1.OE.51.4.043605 Google Scholar
K. Forster et al.,
“Getting NuSTAR on target: predicting mast motion,”
Proc. SPIE, 9910 99100Z
(2016). https://doi.org/10.1117/12.2231239 PSISDG 0277-786X Google Scholar
R. K. Smith et al.,
“Arcus: an ISS-attached high-resolution x-ray grating spectrometer,”
Proc. SPIE, 9144 91444Y
(2014). https://doi.org/10.1117/12.2062671 PSISDG 0277-786X Google Scholar
K. Mori et al.,
“A broadband x-ray imaging spectroscopy with high-angular resolution: the FORCE mission,”
Proc. SPIE, 9905 99051O
(2016). https://doi.org/10.1117/12.2231262 PSISDG 0277-786X Google Scholar
X. Barcons et al.,
“Athena: ESA’s x-ray observatory for the late 2020s,”
Astron. Nachr., 338 153
–158
(2017). https://doi.org/10.1002/asna.v338.2/3 ASNAAN 0004-6337 Google Scholar
BiographyLuigi C. Gallo received his PhD in physics from LMU and MPE in Germany in 2004. He is now a professor of astrophysics at Saint Mary’s University in Halifax, Canada, where he conducts research on black holes with x-ray observations. He has served on advising committees for the Canadian Space Agency and on science working groups for JAXA-led missions Suzaku and Hitomi. Alexander Koujelev received his BSc, MSc, and PhD degrees from Lobachevsky University, Nizhny Novgorod, Russia, in 1993, 1995, and 1998, respectively. From 1993 to 2000, he was a researcher at the Institute of Applied Physics of the Russian Academy of Science. Since 2000, he has been with the Canadian Space Agency, currently as a senior lead in optical sensors working on laser applications in space: optical and quantum communications, Lidars, laser metrology, and laser spectroscopy. Stéphane Gagnon is the vice president of space programs at Neptec Design Group. He was overseeing the development of the Canadian Astro-H Metrology System (CAMS) and contributed to the CAMS calibration algorithms, data processing, and performance assessment. Timothy Elgin is the mechanical lead at Neptec Design Group. He works as a designer, analyst, and environmental qualification engineer for Neptec’s LIDAR systems (TriDAR) as well as other visible and infrared imagers (ExoMars Navigation/Localization Cameras, Restore-L Visible and LWIR Cameras, Raven LWIR Camera) and laser-based metrology systems (Proba-3 Fine Lateral and Longitudinal Sensor). He was responsible for the mechanical design, integration, and testing of the CAMS. Martin Guibert is the electrical engineering team lead at Neptec Design Group. He leads the electrical design and integration activities of the CAMS. Manabu Ishida is a professor of the astronomy and astrophysics division of ISAS/JAXA. The major research field is observational study of compact binaries with x-rays. In parallel, he led development and operation of Japanese x-ray astronomy satellites Ginga, ASCA, Suzaku, and Hitomi. He contributed to the development of the x-ray optics onboard Suzaku and Hitomi. Now he is involved in the X-ray Astronomy Recovery Mission. Casey Lambert is a systems engineer at MDA on the RADARSAT-2 Operations team focusing on flight dynamics. He has previously worked on satellite technology development at the Canadian Space Agency, Saint Mary’s University, and the University of Tokyo. He earned his PhD in mechanical engineering at McGill University, his MASc degree from the University of Victoria, and his BASc degree from the University of Calgary. Franco Moroso is a senior project manager at the Canadian Space Agency, Space Exploration Department. Prior to joining the CSA, he worked as a project and systems engineer for Boeing, Bombardier, Dornier, Pratt & Whitney, and GE. He holds his BEng degree from Concordia University in 1987 and obtained his PMP certification in 2005. He has been leading numerous projects at the CSA, including ISS payloads, technology development, and space exploration initiatives. Takayuki Yuasa is a former astrophysicist who got his PhD from the University of Tokyo and studied white dwarf stars and the Milky Way galaxy in x-ray wavelength using space telescopes such as Suzaku, NuStar, and Swift. Currently, he works at Spire Global, a data company collecting maritime and weather data from space, and develops GNSS Radio Occultation payload that collects weather data to improve midterm weather prediction. |