Design and operation of a prototype interaction point beam collision feedback system for the International Linear Collider

TL;DR

This paper presents the design, implementation, and testing of a high-resolution beam collision feedback system prototype for the International Linear Collider, demonstrating its ability to stabilize beam position with nanometer precision within tight latency constraints.

Contribution

It introduces a novel high-resolution intratrain feedback system prototype with real-world testing, meeting the stringent requirements for the ILC.

Findings

Achieved 450 nm stabilization of the third bunch in a train

Closed-loop latency of 148 ns confirmed effective correction

System maintained performance over a ±60 μm correction range

Abstract

A high-resolution, intratrain position feedback system has been developed to achieve and maintain collisions at the proposed future electron-positron International Linear Collider (ILC). A prototype has been commissioned and tested with a beam in the extraction line of the Accelerator Test Facility at the High Energy Accelerator Research Organization in Japan. It consists of a stripline beam position monitor (BPM) with analogue signal-processing electronics, a custom digital board to perform the feedback calculation, and a stripline kicker driven by a high-current amplifier. The closed-loop feedback latency is 148 ns. For a three-bunch train with 154 ns bunch spacing, the feedback system has been used to stabilize the third bunch to 450 nm. The kicker response is linear, and the feedback performance is maintained, over a correction range of over $\pm$60 {\mu}m. The propagation of the correction has been confirmed by using an independent stripline BPM located downstream of the feedback system. The system has been demonstrated to meet the BPM resolution, beam kick, and latency requirements for the ILC.

Figures

Tables

Table 1. Table 1: Parameters for the ILC 250 GeV and 500 GeV baseline designs and for an energy upgrade to 1 TeV Behnke  et al. ( 2013 ) .

Center of mass energy	GeV	250	500	1000
Collision rate	Hz	5	5	4
Number of bunches		1312	1312	2450
Bunch population	$\times {10}^{10}$	2.0	2.0	1.74
Bunch separation	ns	554	554	366
IP horizontal beam size	nm	729	474	335
IP vertical beam size	nm	7.7	5.9	2.7
Luminosity	$\times {10}^{34}$ cm-2 s-1	0.75	1.8	4.9

Table 2. Table 2: Mean beam position and beam jitter measured at P3 with feedback off and on for bunches 1, 2 and 3. Standard errors are given for both the mean positions and jitters.

	Mean position ($\mu$m)		Position jitter ($\mu$m)
Bunch	Feedback off	Feedback on	Feedback off	Feedback on
1	$5.97\pm 0.16$	$6.37\pm 0.19$	$1.61\pm 0.12$	$1.93\pm 0.14$
2	$10.39\pm 0.17$	$-0.25\pm 0.06$	$1.65\pm 0.12$	$0.60\pm 0.04$
3	$5.58\pm 0.17$	$0.04\pm 0.05$	$1.63\pm 0.12$	$0.45\pm 0.03$

Table 3. Table 3: Bunch-to-bunch correlation with feedback off and on at P3. One standard deviation confidence intervals are given.

	Correlation (%)
	Feedback off	Feedback on
Bunch 1 to bunch 2	$+94\pm 1$	$-11\pm 10$
Bunch 2 to bunch 3	$+96\pm 1$	$-28\pm 9$

Table 4. Table 4: Comparison of the IP feedback performance required at the ILC with that achieved by the FONT feedback system at ATF.

		ILC	ATF
Energy per beam	GeV	250	1.3
IP feedback latency	ns	554	148
BPM dynamic range	$\mu$m	$\pm 1400$	$\pm 1500$
BPM resolution	$\mu$m	$\sim 1$	$\sim 1$
Beam angle correction range	nrad	$\sim \pm 60$	$\sim \pm 180$†
† scaled by the ATF/ILC beam energy ratio

Equations

$$Y_2=y_2-g{y}_1-{\delta }_2,$$

$$Y_n=y_n-g{y}_1-g\sum _{i=2}^{n-1}{Y}_i-{\delta }_n,$$

$$V_{\text{DAC}}=gK\frac{V_{\Delta }}{V_{\Sigma }}+D,$$

$$K=-\frac{V_{\text{DAC}}}{(\frac{V_{\Delta }}{V_{\Sigma }})}=-\frac{1}{H}$$

$$y_{\text{P3}}=M_{34}{y}_{\text{K2}}^{\prime }.$$

$${\sigma }_{Y_n}^2={\sigma }_{y_n}^2+{\sigma }_{y_{n-1}}^2-2{\sigma }_{y_n}{\sigma }_{y_{n-1}}{\rho }_{y_n{y}_{n-1}},$$

Full text

††preprint: APS/123-QED

I Introduction

The International Linear Collider (ILC) Adolphsen et al. (2013) is a proposed high-luminosity electron-positron collider (Fig. 1) with a baseline center of mass (c.m.) energy of 500 GeV and options for operating within the c.m. energy range between 250 and 1000 GeV. The 500 GeV baseline design luminosity of $1.8\times 10^{34}$ cm*-2* s*-1* requires long trains of 1312 particle bunches and colliding beams focused at the interaction point (IP) to $\sim 6$ nm (vertical) and $\sim 500$ nm (horizontal). The design parameters for the 250, 500 and 1000 GeV machines are shown in Table 1. In order to compensate for residual vibration-induced jitter from the final focus magnets at frequencies near and above the bunch-train repetition frequency of 5 Hz, a fast, intra-train IP beam position feedback system is required to maintain bunch collisions over the course of each train Schulte (1999). The short inter-bunch time separation of 554 ns demands that such a feedback system has a low latency so as to allow for the possibility of bunch-by-bunch corrections. Here we present the design, commissioning and operation of a prototype IP feedback system that meets the ILC requirements.

Since the vertical beam size at the IP is roughly 100 times smaller than the horizontal beam size, the vertical axis is most sensitive to relative beam-beam misalignments and hence we describe a system for making beam trajectory corrections in the vertical plane. A corresponding system could operate in the horizontal plane.

A schematic of the proposed intra-train IP feedback system for correction of the relative vertical beam misalignment is shown in Fig. 2 for the case in which the two beams cross with a small horizontal angle; the ILC design incorporates a crossing angle of 14 mrad. The system relies on the strong transverse electromagnetic kick experienced by each electron bunch in the field of the opposing positron bunch (and vice versa) when the two bunches arrive at the IP with a relative vertical offset Chen and Schulte (2013). Beam simulations, performed using the tracking code Lucretia Tenenbaum (2005) and the beam-beam interaction code guinea-pig Schulte (1996), allow the deflection angle to be calculated as a function of the relative offset at the IP of the incoming bunches (Fig. 3); the results presented here complement earlier simulations White et al. (2006); Resta-Lopez et al. (2008, 2009); Bodenstein et al. (2017) performed using the tracking code placet D’Amico et al. (2001). The ILC lattice has been used with the final focus length $L^{*}$ updated to 4.1 m. The capture range of the ILC IP intra-train feedback system has been specified to be $\pm 200$ nm relative beam offset Parker et al. (2009). It can be seen from Fig. 3 that within this range the angular deflection imparted to the outgoing bunches varies with the relative bunch offset, and spans the range within roughly $\pm 350$ $\mu$rad. Such a large outgoing beam deflection angle causes beam position displacements of up to 1400 $\mu$m in a beam position monitor (BPM) placed $\sim 4$ m downstream of the IP as in the ILC design Adolphsen et al. (2013). The BPM signals are processed to derive a correction signal which is amplified and used to drive a kicker, located $\sim 8$ m upstream of the IP, on the other incoming beamline (Fig. 2). An engineering implementation is shown in Fig. 4.

If the total system latency is shorter than the inter-bunch separation, the trajectory of each successive incoming bunch can be corrected. The measurement and correction are performed on opposing beams so as to reduce the signal propagation time between BPM and kicker Hendrickson et al. (1999), and the beamline components are placed as close as possible to the IP in order to minimize the delay due to the total beam flight time from the kicker to the IP and from the IP to the BPM. Since the system acts on each successive bunch crossing a delay loop (Fig. 2) is required, which constitutes a memory of the sum of preceding corrections and maintains the correction for subsequent bunches.

Using the beam simulations described above, the luminosity has been calculated as a function of the beam-beam deflection angle (Fig. 5). A 1% degradation of the peak luminosity corresponds to a deflection angle of 13 $\mu$rad, which would be measured as a $\sim 50$ $\mu$m deflection at the BPM. Hence, a micron-level resolution for the feedback BPM is more than adequate to enable precise luminosity optimization and the requirement of a $\pm 1400$ $\mu$m linear range will handle deflection angles of up to $\pm 350$ $\mu$rad. The kicker is required to have sufficient drive to correct an IP relative bunch offset of up to $\pm 200$ nm which, for the ILC final focus magnets, sets a $\sim\pm 60$ nrad kick range requirement for a 250 GeV beam.

II Experimental setup

A prototype of such a feedback system has been developed by the Feedback on Nanosecond Timescales (FONT) group FON and has been installed, commissioned and tested at the Accelerator Test Facility (ATF) Hinode et al. (1995) at KEK. The ATF (Fig. 6) is a 1.3 GeV electron test accelerator for the production of very low emittance electron beams as required for future linear electron-positron colliders. In 2008, as part of the ATF2 project Grishanov et al. (2005), the beamline was upgraded and the extraction line was replaced with one incorporating an energy-scaled version of the compact beam focusing system designed for linear colliders Raimondi and Seryi (2001). The goals of the ATF2 Collaboration Bambade et al. (2010) are to produce a 37 nm vertical beam spot size at the final focus point and to stabilize the vertical beam position to the nanometer level.

In order to address the ATF2 beam stabilization goals, the FONT group has developed a beam position stabilization system (‘FONT5’) Apsimon et al. (2012) which is deployed in the upstream part of the ATF extraction line (Fig. 6). The full feedback system has been designed to stabilize both the beam position and angle in the vertical plane such that a fully-corrected beam can propagate downstream into the ATF final focus line. For this purpose, the feedback system comprises the stripline BPMs P2 and P3, and the stripline kickers K1 and K2, whose beamline layout is shown in Fig. 7. The BPMs P1 and MQF15X are independent of the feedback loop, and are used as witnesses of the incoming and outgoing beam trajectories, respectively. Furthermore, in the context of the demonstration of an ILC-like IP position feedback system, the FONT5 system has been operated in ‘single-loop’ mode using P3 to measure the vertical beam offset and K2 to correct it (Fig. 8). The hardware components are described below.

II.1 Stripline BPM and processor

The FONT stripline BPMs (Fig. 9) each consist of four 12-cm-long strips, arranged as two orthogonal diametrically opposed pairs separated by 23.9 mm Apsimon et al. (2015). BPMs P1, P2 and P3 are each mounted on a M-MVN80 and M-ILS50CCL Newport mover system Faus-Golfe that can translate the BPM vertically and horizontally in the plane perpendicular to the beam, allowing the beam to be centered within each BPM aperture. BPM MQF15X, located 0.76 m downstream of P3, was not placed on a mover system.

The analogue signal processors have been developed specifically for high resolution and low latency. A single BPM processor can be used to process the beam position data in either the horizontal or vertical axis; from here on only the vertical plane is considered. The BPM processors employ a ‘difference over sum’ signal processing technique Apsimon et al. (2015) as follows. The signals from the top and bottom strips are added using a resistive coupler, and subtracted using a 180∘ hybrid. An external, continuous, machine-derived local oscillator (LO) signal is used to down-mix the radio-frequency (RF) sum and difference signals to produce the baseband signals $V_{\Sigma}$ and $V_{\Delta}$, respectively. These signals can then be digitized, and the beam position is calculated from the ratio $\frac{V_{\Delta}}{V_{\Sigma}}$.

The stripline BPMs have a demonstrated position resolution of $291\pm 10$ nm at a bunch charge of $\sim 1$ nC, with a linear response range of $\pm 500$ $\mu$m Apsimon et al. (2015). The scaling of the BPM resolution with the inverse of the bunch charge, down to a charge of 0.3 nC, has been demonstrated Apsimon et al. (2015). Hence, with a factor of three signal attenuation, the ILC dynamic range (Sec. I) is achieved with a position resolution of $\sim 1$ $\mu$m. Further attenuation would be used to compensate for the higher bunch charge at the ILC, whose design value is $\sim 3$ nC (Table 1). The signal processor latency has been measured to be $15.6\pm 0.1$ ns Apsimon et al. (2015).

II.2 FONT5A digital feedback board

The stripline BPM signal processor outputs are digitized in the FONT5A digital feedback board (Fig. 10). The board consists of a Xilinx Virtex-5 XC5VLX50T field programmable gate array (FPGA) Xil , nine Texas Instruments ADS5474 14-bit analogue-to-digital converters (ADCs) ADC and two Analog Devices AD9744 14-bit digital-to-analogue converters (DACs) DAC whose output is used to drive the kicker amplifier (Fig. 8). An external trigger, preceding the extraction of the bunches from the ATF damping ring (Fig. 6), is used to synchronize feedback operation to the bunch arrival time, as well as to control the timing of the digitization of the BPM signals. Each ADC is clocked with a 357 MHz signal synchronized with the ATF damping ring RF master oscillator. The feedback calculation runs on the FPGA, but data are also sent serially from the board via a universal asynchronous receiver/transmitter (UART) over RS232 to a local computer for offline storage and data analysis.

For a given train of bunches, the FONT5A board effectively measures the position of the first bunch and attempts to zero the position of subsequent bunches. For an ideal feedback system, the position $Y_{2}$ of the second bunch with feedback on is:

[TABLE]

where $y_{1}$ and $y_{2}$ are the incoming, uncorrected positions of the first and second bunches, respectively, $g$ is the feedback gain and $\delta_{2}$ is a constant offset applied to account for the static position offset between the first and second bunches. The gain is set so the offset of the beam position from zero is measured at the first bunch, and is used to fully correct the position of the second, and thus $g\approx 1$. For subsequent bunches ($n\geq 3$):

[TABLE]

where $y_{n}$ and $Y_{n}$ are the uncorrected and corrected positions of the $n^{\textrm{th}}$ bunch, respectively, and $\delta_{n}$ is a constant offset. The corrections applied to previous bunches are accumulated in the delay loop register on the FPGA, constituting the memory of the total correction performed so far to the bunches in the train. Thus, the delay loop maintains the corrected position for all subsequent bunches.

Operating the feedback in single-loop mode, the K2 drive signal issued by the DAC, $V_{\textrm{DAC}}$, is calculated by:

[TABLE]

where $K$ is the kick factor, $V_{\Delta}$ and $V_{\Sigma}$ are the digitized difference and sum signals from the P3 signal processor, and $D$ is the value stored in the delay loop. The kick factor can be calculated from the slope, $H$, of the measured beam position $\frac{V_{\Delta}}{V_{\Sigma}}$ versus set values of the K2 drive $V_{\textrm{DAC}}$:

[TABLE]

where the minus sign originates from the requirement that the feedback subtracts the measured offset so as to zero the beam position.

The FONT5A board firmware implementation is shown in Fig. 11. A look-up table (LUT) is implemented in core memory resources on the FPGA, and is used to obtain the product of $gK$ and the reciprocal of the incoming $V_{\Sigma}$ signal whilst the $V_{\Delta}$ signal is delayed accordingly. The two signals are then multiplied together, before entering both the DAC and delay loop. The timing is set such that only the signals calculated from the sampled bunches are strobed onto the delay loop and DAC output registers. The value stored in the delay loop can be multiplied by a droop correction factor to compensate for the effective roll-off at low frequencies, due to the transformer coupling between the ADC and the kicker amplifier, in the output signal, and consequent droop in the step response. A constant bunch offset term can also be added in the delay loop to correct for any static offset between the positions of consecutive bunches. The value stored in the delay loop is then added to the $V_{\Delta}\times\frac{gK}{V_{\Sigma}}$ value measured for each bunch in turn. The relevant 13 bits are selected to constitute the DAC output; if the calculation has overflowed the 13 bit bound, the resultant 13-bit value is saturated at its minimum or maximum value. The DAC output can be set to a constant DAC value, and this feature is used for calibrating the effect of the kicker on the beam position.

II.3 Kicker and amplifier

The kickers (Fig. 12), provided by the SLAC laboratory, each consist of two parallel conducting strips, approximately 30 cm in length, placed along the top and bottom of a ceramic section of beampipe, as shown in the technical drawing in Fig. 13. By being driven with input signals at the downstream end and with the electrodes shorted together at the upstream end, the kicker deflects the beam in the vertical plane. The kicker drive signal from the FONT5A board, with a maximum range of $\pm 2$ V, is amplified with a custom-built amplifier, which delivers a high current with a fast rise time. The required amplifier was developed and manufactured for this purpose by TMD Technologies Ltd TMD and can provide up to $\pm 30$ A of drive current with a rise time of 35 ns from the time of the drive signal arrival to that of 90% of peak output. The output pulse length is specified to be up to 10 $\mu$s. The amplifier needs to be triggered in advance of the bunch arrival; the trigger signal is generated by the FONT5A board (Fig. 10).

III System performance

III.1 System latency

The system latency was designed to be lower than the inter-bunch spacing. The latency was hence measured conveniently by systematically adding controlled extra delay until the feedback correction signal arrived too late to affect the beam. In practice this was performed by enabling a constant DAC output and then delaying it (Fig. 11). An effective bunch spacing can be defined as the sum of the actual bunch spacing and the added delay.

Data were taken as a function of added delay with interleaved kicked and unkicked beam to mitigate against beam drift, and averaged at each setting to remove the effect of beam jitter on the measurement. Fig. 14 shows the average difference between kicked and unkicked beam position versus effective bunch spacing. The system latency is defined as the point at which 90% of the full kick is delivered, and yields a latency of 148 ns (Fig. 14).

III.2 Kicker linearity and range

The amplifier and kicker performance were tested by systematically varying the amplifier drive signal and measuring the beam displacement at P3 (Fig. 15). The angular kick imparted to the beam by K2, $y^{\prime}_{\textrm{K2}}$, can be reconstructed from the measured displacement at P3, $y_{\textrm{P3}}$, using element $M_{34}$ of the $6\times 6$ linear beam transfer matrix $M$ between K2 and P3; this was calculated by using the MAD CERN BE/ABP Accelerator Beam Physics Group model of the ATF2 beamline.

[TABLE]

From Fig. 15 it can be seen that a linear kicker response is observed over a correction range of $\pm 75$ $\mu$m, corresponding to a kick range of $\sim\pm 35$ $\mu$rad provided by K2. This scales to $\sim\pm 180$ nrad for the 250 GeV ILC beam energy, which exceeds the requirements discussed in Sec. I.

III.3 Feedback results

The ATF was configured so as to deliver successive trains of three bunches with a bunch separation of 154 ns. For the subsequent measurements the beam was approximately centered vertically in MQF15X using an upstream corrector, and then centered in P3 using the BPM mover. The feedback was operated in interleaved mode, whereby alternate trains were subjected to feedback off and on. The data with feedback off were used to characterize the incoming beam and to track drifts in the beam conditions. The feedback system was operated with $g=1$ as the bunches have similar position jitters (Table 2) and the positions of the bunches are highly correlated (Table 3).

The beam position recorded at P3 is shown in Fig. 16, for a data set with 100 trains with feedback on interleaved with 100 trains with feedback off. The first bunch in each train is not affected by the feedback as this bunch is only measured, but not corrected. The second and third bunches show the effect of the feedback: the corrected beam positions are centered on zero and the spread of beam positions is reduced.

The mean beam position and the beam jitter, defined to be the standard deviation $\sigma$ of the position distribution, are listed in Table 2. For a distribution with $n$ triggers, the standard error $\sigma_{\mu}$ on the mean position is given by $\sigma_{\mu}=\frac{\sigma}{\sqrt{n}}$ and the standard error $\sigma_{\sigma}$ on the jitter is given by $\sigma_{\sigma}=\frac{\sigma}{\sqrt{2n}}$ Tanabashi et al. (2018).

The feedback acts to reduce the incoming beam jitter from $\sim 1.6$ $\mu$m to $0.45$ $\mu$m. The incoming bunch train is observed (Fig. 16) to have a static bunch-to-bunch position offset, whereby bunch 2 lies roughly 5 $\mu$m higher than bunches 1 and 3. By making use of the constant offset $\delta_{n}$ introduced in Eq. 2, the feedback centers the mean position of bunches two and three to within $0.25$ $\mu$m of P3’s electrical center.

An incoming bunch-to-bunch position correlation in excess of $94\%$ was measured for this data set (Table 3). A high correlation is required in order to obtain a substantial reduction in position jitter. The feedback acts to remove the correlated position components between the bunches, and was able to reduce the correlation to almost zero.

The expected feedback performance can be estimated by taking the standard deviation of the terms in the feedback algorithm defined in Eq. 1, given $g=1$:

[TABLE]

where $\sigma_{Y_{n}}$, $\sigma_{y_{n}}$ and $\sigma_{y_{n-1}}$ are the respective standard deviations of the distributions of $Y_{n}$, $y_{n}$ and $y_{n-1}$ and $\rho_{y_{n}y_{n-1}}$ is the correlation between $y_{n}$ and $y_{n-1}$. Substituting the respective measured values (Tables 2 and 3) into Eq. 6 yields predicted corrected jitters of $\sigma_{Y_{2}}=0.58$ $\mu$m and $\sigma_{Y_{3}}=0.45$ $\mu$m. These values agree with the measured jitters of $0.60\pm 0.04$ $\mu$m and $0.45\pm 0.03$ $\mu$m, respectively, which indicates that the feedback performed optimally.

The corresponding beam position measurements recorded in the downstream witness BPM MQF15X are shown in Fig. 17. A substantial reduction in jitter is apparent. The feedback performance agrees well with that expected from propagating the measured beam positions at BPMs P2 and P3 (Fig. 7) using linear transfer matrices calculated from the ATF MAD model.

In order to assess the feedback operation over a wide correction range, the vertical position of the beam arriving at P3 was swept through a range of approximately $\pm 60$ $\mu$m by varying a corrector magnet located upstream of K2. The results (Fig. 18) show that the mean positions of the second and third bunches are zeroed and the spread of positions is consistently reduced to around 500 nm.

As an additional test, two vertical steering magnets were used to enhance the incoming beam jitter. The magnets were set up so as to apply a random kick conforming to a pre-defined distribution with the kick updated successively at the train repetition frequency. The feedback was observed (Fig. 19) to successfully center and stabilize the beam, even when the full spread of uncorrected positions reaches $\pm 100$ $\mu$m.

The ability of the feedback system to stabilize the beam at the feedback BPM to $\sim 0.5$ $\mu$m implies that such a system could be used to stabilize the outgoing beam from the ILC IP to $\sim 0.5$ $\mu$m as measured at the ILC IP feedback BPM; that is, to stabilize the outgoing beam deflection angle to $\sim 0.12$ $\mu$rad. From Fig. 5, this is equivalent to a luminosity stabilization to within 0.1% of the nominal value.

IV Conclusions

An intra-train position feedback system has been designed to achieve and maintain collisions at the ILC, and a prototype has been developed, commissioned and tested at the ATF. The beam position is measured using a stripline BPM with analogue signal-processing electronics. The outputs are processed on an FPGA-based digital board used to calculate and deliver a correction signal, which is amplified by a high-current drive amplifier and applied to a stripline kicker. All components have been designed for minimum latency, with an overall feedback latency of 148 ns, allowing bunch-to-bunch feedback at the ILC. The stripline BPM has a position resolution of $291\pm 10$ nm and a linear range of $\pm 500$ $\mu$m and satisfies the ILC requirements. The kicker response is linear over a correction range of over $\pm 60$ $\mu$m measured at the feedback BPM which satisfies the ILC requirements. The feedback system has been used to successfully stabilize the second and third bunches in a three-bunch train with 154 ns bunch spacing, where the first bunch is used as a pilot bunch. The propagation of the correction has been verified by using an independent stripline BPM located downstream of the feedback system. The performance is maintained on sweeping the incoming beam orbit through $\pm 50$ $\mu$m or enhancing the spread of incoming beam orbits by up to $\pm 100$ $\mu$m, which exceeds the equivalent ILC operating range. A comparison of the performances demonstrated here with those required for the ILC is given in Table 4. The system has been demonstrated to meet the BPM resolution, beam kick and latency requirements for the ILC.

Having built a prototype system which meets the technical requirements for the ILC, the next step is to implement the demonstrated performance in a simulation of the beam collision feedback system and evaluate its luminosity recovery capability subject to realistic beam imperfections. This requires detailed modelling of beam transport through the ILC beamline complex, from the exit of the damping rings through to the interaction region, and must incorporate expected beam imperfections including those due to static component misalignments as well as dynamic misalignments resulting from ground motions, facilities noise, and the performance of upstream beam feedback and feed-forward systems. Some earlier studies have been performed White et al. (2006); Resta-Lopez et al. (2008, 2009); Bodenstein et al. (2017), and a significant update is in progress using the latest ILC design and the collision feedback system performance reported here; this is the subject of a paper in preparation.

Acknowledgments

We thank the KEK ATF staff for their outstanding logistical support and providing the beam-time and the necessary stable operating conditions for this research. In addition we thank our ATF2 collaborators for their help and support; in particular the University of Valencia IFIC group for providing the BPM mover system. We acknowledge financial support for this research from the UK Science and Technology Facilities Council via the John Adams Institute, University of Oxford, and CERN, CLIC-UK Collaboration, Contract No. K E1869/DG/CLIC. The research leading to these results has received funding from the European Commission under the Horizon 2020 / Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE) project E-JADE, Grant agreement No. 645479.