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Maximising benefits of spectrum to society

Author: Morgan

May. 13, 2024

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Tags: Measurement & Analysis Instruments

Maximising benefits of spectrum to society

Governments across the world appear to be approaching an implicit consensus: The mobile market is characterised by competition between three or four Mobile Network Operators (MNO).

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The implication is that spectrum must be distributed in such a way that there be viable spectrum packages that can support the effective operation of three or four autonomous mobile networks. In practice, spectrum caps are used in auctions in order to prevent a higher degree of concentration of frequencies than what is compatible with the government’s market structure ambitions.

However, excessive use of spectrum caps can lead to inefficient use of frequencies and creates incentives for hoarding of spectrum under the protection of caps, and subsequent “windfall gains” at the expense of the government as spectrum is sold or transferred to the sustainable part of the industry in the secondary market. Telenor’s view is that competition must be safeguarded, but that “spectrum caps” should be no stricter than necessary to protect a sustainable market structure.

In recent news, the European Union has stressed the importance of coordinating spectrum usage across member states to support 5G deployment and digital innovation. This move aims to enhance spectrum efficiency, reduce interference, and maximize socio-economic benefits across the region.

Advantages of Real-time Spectrum Analyzers in High ...

Introduction

In High Energy Physics (HEP) applications, the fundamental challenges facing operators and researchers are sustained maximum beam power and consistent beam stability in particle accelerators. To accomplish these objectives, operators need to be able to collect information on the spectral behavior of particle beams at the time of beam ramp up as well as during various experiments.

In this application note, the causes of beam instability and “blow up” - sudden total or partial loss of beam current - will be reviewed. We’ll discuss the advantages of using Real-time Spectrum Analysis to analyze and solve beam loss and instability problems versus the use of Swept Spectrum Analysis (SSA). And we’ll show how Tektronix real-time spectrum analyzers (RTSAs) are used to collect, analyze and present data in the High Energy Physics field.

Causes of Beam Instability and "blow up"

In a storage ring, particles (protons, electrons, or ions) are injected into a stable orbit that allows them to circulate for many hours. This orbit of particles is known as the “beam.” The beam is maintained in the storage ring at a certain velocity until such time as it is "kicked out" to the Linear Accelerator (LINAC). During the storage time, the beam’s velocity, path, coherence, and chromaticity are monitored and adjusted using magnets and RF fields. It is during this portion of the beam life cycle that it is most susceptible to errors and problems.

The beam orbit in the storage ring has design values called horizontal, vertical, and longitudinal “tune” frequencies, which are directly related to the beam’s position in the ring. The electrical characteristics of the focusing magnets and RF cavities around the ring determine these values.

Typically, particles are injected into the ring at low energy levels then “ramped up” to higher levels. During ramping, it is important that the horizontal and vertical tune frequencies do not shift, lest they hit upon a resonant combination that causes beam instability or sudden total loss of ring beam current (beam blow up). Beam instabilities can be caused by a number of factors. Non-linearities and/or different response times of independent controls such as beam position monitor (BPM) cables and circuits, magnets for guidance and focusing of the beam, Klystrons or Tetrodes (which provide power to RF cavities that transmit energy to the beam), and vacuum pumps and monitors can all cause beam instabilities. Vibrations and lack of proper shielding are other factors.

The challenge for operators and researchers is to correctly identify the factors causing beam instabilities and blow up so that costly accelerator time is not interrupted and experimental results are not compromised. The instrument most often used to identify problems in particle accelerator applications is the spectrum analyzer. In the section that follows, we discuss the advantages of real time spectrum analyzers versus swept spectrum analyzers in HEP applications.

Using Spectrum Analyzers - Swept Frequency vs. Real Time

In swept frequency spectrum analyzers, signals are observed as a function of frequency – an approach that loses most, if not all temporal (time relative) information. Real-time spectrum analyzers allow the user to view and measure each portion of the input signal’s frequency spectrum as a function of time. The differences, as they pertain to HEP applications, are as follows.

Swept Frequency Spectrum Analyzers

The traditional swept spectrum analyzer makes amplitude vs. frequency measurements by sweeping a resolution bandwidth (RBW) filter over the frequencies of interest and recording the amplitude at each frequency point. While this method provides superior dynamic range, its disadvantage is that it only records the amplitude data in one frequency at a time. Sweeping the RBW filter over a span of frequencies takes time - on the order of seconds in some cases. A relatively stable, unchanging input signal is required.

If there is a rapid change in the signal, it is statistically probable that the change will be missed. By the time the sweep arrives at a segment where the error occurred, it may have already vanished.

Recent advancements in spectrum analyzer technology, as discussed by industry experts, highlight the importance of real-time analysis in capturing transient events that traditional swept frequency analyzers might miss.

Real-time Spectrum Analyzers: Storing and Analyzing Frequency and Time

As time-varying signals become more common in HEP applications, the need for an alternative approach to RF acquisition and analysis becomes more urgent. The real-time spectrum analyzer has emerged to solve this tough measurement problem. Alone among the spectrum analyzer architectures, the RTSA can trigger on a frequency domain event, then capture and analyze any passband signal that falls within its real-time bandwidth.

Since the basic process is not one of sweeping across the RF input signal and building an image from serially acquired frequency steps, the RTSA’s digital IF architecture allows a continuous capture of “snapshots” known as frames. These frames accumulate in the memory as a seamless, continuous record of time.

The memory supports a variety of display and analysis tools including the spectrogram, which plots an entire series of frames to reveal signal changes over time. Thus the RTSA is the only RF signal analyzer optimized to produce a three-dimensional display: frequency, power (amplitude), and time. If the passband of interest exceeds the real-time bandwidth of the RTSA, the RTSA can step through a series of frequency segments, just like the swept analyzer. In doing so, each sweep captures a band of frequencies equivalent to the RTSA’s real-time bandwidth. Then the instrument concatenates the frequency bands and presents a conventional frequency-domain display.

RTSA Measurements in Particle Accelerator Applications

Tektronix RSA2200A and RSA3300A Series Real-time Spectrum Analyzers are used in particle accelerator applications to monitor beam ramping, measure horizontal and vertical tune frequencies during ramp up; measure chromaticity; and monitor amplitude, frequency and phase modulations. In addition, the RSA’s allow the display of power vs. time information and provide a frequency mask trigger for monitoring beam stability.

Monitoring beam ramping

In the following example, we will monitor a beam ramp up that is typically 160 ms in duration, and compare that with the commissioning phase during which the beam may be ramped up at a rate of 1 second. We will also review a few common frequency span settings: 20, 50, 100, and 200 KHz.

The RSA is able to capture and store up to 25 spectral waveforms in the frequency domain during the typical 160 ms ramp time (156 during the 1 second ramp time). These waveforms can be viewed in either a traditional frequency domain display (as would be seen on a Swept Frequency Analyzer) or in a Spectrogram mode where the X-axis is frequency, Y-axis is time and power is given a color representation.

The RSA provides the ability to recall this data and step back in time through the captured waveforms in 6.4 ms intervals.

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The RSA can also display the information in a Power vs. Time format with time resolution to 40 nanoseconds and dynamic range superior to an oscilloscope (see Figure 4). How does frequency and time resolution compare with a Swept Spectrum Analyzer (SSA) frequency resolution? Assuming the typical 501 data points of resolution on the SSA display, the answer is shown in Table 2.

Chromaticity measurements

Chromaticity describes the change in betatron resonant frequency (tune) as a function of beam momentum. Chromaticity compensation is required in high-energy storage rings to avoid instability due to the head-tail (H-T) effect. We define the chromaticity of a lattice as Q’ = dQ/dd where Q is the betatron tune and d is the fractional deviation from nominal momentum.

Most tune measurements in the storage ring are made at a single time in the acceleration cycle. However, if the tunes are measured over the entire acceleration cycle, as required by swept frequency analyzers, the process requires many beam cycles making data acquisition extremely laborious and grinding HEP experiments to a halt. The RTSA can acquire and retrieve tune data for the complete acceleration cycle in one beam cycle. It can also be desirable to utilize Phase Modulated RF to measure the chromaticity [3, 4]. The RSA products allow direct Phase Modulation (PM) measurement for faster, more accurate chromaticity calculations (see Figures 5(a) and 5(b)).

Analog Demodulation with Multi-Domain Display

The RSA offers amplitude, frequency and phase demodulation capabilities in multi-domain displays. By using marker functions, the RSA makes it possible to easily read out modulation directly on the display (see Figure 6). FM demodulation is useful for a number of HEP applications. In the event of beam instability, for example, it is possible to analyze the variation with high frequency and time resolution (see Figure 7). It is also useful to monitor Betatron signals and for cases where a known amount of external FM is injected into the RF system.

Phase modulation is especially useful for monitoring phase stability of the beam, for analyzing and adjusting the many Phase Lock Loops (PLL) found in a typical storage ring, and for calculating chromaticity (see Figure 8). Amplitude modulation is useful for Synchrotron measurements.

Monitoring Beam Stability with Frequency Mask Trigger

Beam instability appears in the frequency domain as either signals that drift in frequency or as distortion products (see Figure 9). By using its unique Frequency Mask Trigger (Figure 10), the Tektronix RSA can be set to trigger should either of these events occur. A mask can be “drawn” on the display using a mouse to within one pixel and 0.1 dB of resolution. Once the RSA is triggered, it can begin recording data for later analysis, it can also output a trigger to an external device, such as an alarm. Additionally, the RSA offers a pre-trigger setting, so it is possible to recall and analyze data just prior to the triggering event.

Amplitude Correction

Additional RSA features that can be useful in HEP applications include the ability to input an amplitude correction file with up to 3000 points of frequency response data (see Figure 11). This can be useful for correcting for loss of BPM cables or other losses prior to the RTSA input.

Vibration Analysis

The RSA can be used to measure low frequency vibrations (to DC) with excellent frequency resolution and much better update display rates than traditional swept frequency analyzers. The importance of vibration problems increases with the smaller emittance of a storage ring for synchrotron radiation source. Vertical emittance of a storage ring can be so small that the effects of vibration on the electron beam cannot be neglected. Operation of air conditioning, water-cooling and vacuum pumps can cause vibration of the magnets, which then affects beam stability. These vibrations can be analyzed using accelerometers, the output of which can be amplified and fed to the RSA for FFT processing. In addition, intermittent vibration spikes can be captured reliably with the real-time capability of the RSA.

Conclusion

Tektronix real-time spectrum analyzers continue to lead the field in HEP applications by offering a single instrument with capabilities not found in a swept spectrum analyzer:

  • Frequency Mask Trigger and Trigger output that allows the user to trigger on a tune frequency at the instant it goes unstable while sending a TTL signal to other instruments (i.e. alarm device) and capturing pre-trigger data
  • Capture of long records of seamless data (including pre-trigger data)
  • A multi-domain view allowing simultaneous display of any three modes: spectrogram, power vs. time, frequency domain or demodulation data (AM, FM, PM)
  • Updated display of the spectrum with better frequency resolution
  • Data recall for post-processing and detailed analysis

Tektronix RSA2200A and RSA3300A Series Real-time Spectrum Analyzers deliver unique solutions and advantages for operators and researchers in the High Energy Physics field. Only Tektronix real-time spectrum analyzers offer the triggering, capture and analysis features needed to reveal the true nature of particle accelerator anomalies. The RSA is the solution that can go forward with demanding requirements of particle research.

For more details on how real-time spectrum analyzers can enhance your research, visit our website or contact your local Tektronix representative to request a demonstration of these truly unique instruments.

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