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Space Charge Driven Emittance Growth and the Effect of Octupoles in IOTA

David Feigelson University of Chicago, Chicago, IL 60637 Tanaji Sen 111[email protected] Fermi National Accelerator Laboratory, Batavia, IL 60510 Jean-Francois Ostiguy Fermi National Accelerator Laboratory, Batavia, IL 60510 Runze Li University of Wisconsin, Madison, WI 53706
Abstract

The Integrable Optics Test Accelerator (IOTA) at Fermilab is a small machine dedicated to a broad frontier accelerator physics program. An important aspect of this program is to investigate the potential benefits of the resonance free tune spread achievable with integrable optics to store and accelerate high intensity proton beams for which space charge is significant. In this context, a good understanding of proton beam emittance growth and particle loss mechanisms is essential.

Assuming nominal design parameters, simulations show that for a bunched beam, the bulk of emittance growth takes place immediately following injection, typically within tens of turns. We attempt to account for this growth using a simplified RMS mismatch theory; some of its limitations and possible improvements are briefly discussed. We then compare theoretical predictions to simulations performed using the PIC code pyORBIT. Further exploring ways to mitigate emittance growth and reduce particle loss, we compare two beam matching strategies: (1) matching at the injection point (2) matching at the center of the nonlinear (octupole) insertion region where βx=βy\beta_{x}=\beta_{y}. To observe how nonlinearity affects emittance growth and whether it dominates growth due to mismatch, we track two different distributions. Finally, we explore the potential of using octupoles in a quasi-integrable configuration to mitigate growth using a variety of initial distributions both at reduced and full intensities.

1 Introduction

Understanding emittance growth mechanisms in proton beams is of high importance for the IOTA program. In this report we investigate such mechanisms, focusing on RMS mismatch. First, we provide an overview of previous work as well as a brief summary of known and relevant sources of growth.

Previous work has shown that at full intensity, over a period of 1000 turns, RMS emittance grows 10-fold and particle losses exceeds 1%1\% [1]. The bulk of the emittance increase occurs in the first few turns; this suggests that it cannot be due to betatron resonances. The time scale is consistent with the plasma oscillation period in IOTA, which is approximately 0.1 turn for a 3D Gaussian bunch [1].

Some attempts have been made at mitigating growth and losses. In particular, matching of the RMS beam parameters at the injection point did not succeed in limiting emittance growth but did have a significant impact on losses, reducing the latter to about 0.2%0.2\% [1]. Slow initialization without RMS matching was also shown to be effective, reducing emittance growth by roughly a factor of 2 and particle losses to about 0.01%0.01\% [1].

The evolution of a general distribution f(qi,pi)f(q_{i},p_{i}) of states (qi,pi)(q_{i},p_{i}) in a particle beam is governed by the Vlasov equation, which is itself a simplified form of the Liouville equation. In an accelerator where the position ss along the reference orbit is used as the independent dynamical variable, the distribution f(qi,pi,s)f(q_{i},p_{i},s) is stationary if f/s=0{\partial f}/{\partial s}=0.

An important observation is that a beam distribution f(qi,pi,s)f(q_{i},p_{i},s) that can be expressed as a function of a dynamical invariant WWf(W(qi,pi,s))f(W(q_{i},p_{i},s)) — is stationary. This is readily demonstrated as follows: By the definition of a dynamical invariant, dW/ds=0dW/ds=0. Substituting into Liouville’s equation df/ds=0df/ds=0 for the distribution function yields immediately

0=dfds=dfdWdWds+fs0=\frac{df}{ds}=\frac{df}{dW}\frac{dW}{ds}+\frac{\partial f}{\partial s} (1.1)

which implies

fs=0\frac{\partial f}{\partial s}=0 (1.2)

For an uncoupled accelerator, in the absence of space charge, a suitable invariant for generating a stationary distribution is the Courant-Snyder invariant

Wx(x,x,s)=γ(s)x2+2α(s)xx+β(s)x2W_{x}(x,x^{\prime},s)=\gamma(s)x^{2}+2\alpha(s)xx^{\prime}+\beta(s)x^{2} (1.3)

A Gaussian distribution of the form

f(x,x,y,y,s)=Aexp{[Wx2ϵx+Wy2ϵy]}f(x,x^{\prime},y,y^{\prime},s)=A\exp\left\{-\left[\frac{W_{x}}{2\epsilon_{x}}+\frac{W_{y}}{2\epsilon_{y}}\right]\right\} (1.4)

would therefore be stationary in a linear lattice. In such a lattice, passage through an element transforms a quadratic form into another quadratic form. Furthermore, due to symplecticity, the determinant of the matrix of second moments i.e. the rms emittance is preserved so it would appear that rms emittance remains constant. In practice, due to the unavoidable presence of residual non-linearity and chromatic effects, the phases of the betatron motion of individual particles advance at sightly different rates. As a result, the particles eventually fill an elliptical phase region whose boundary is defined by the outermost particle in the initial phase space distribution. The phase space contours defined by the machine invariant are referred to as the matched contours.

We conclude that a Gaussian distribution matched to the invariant contours is stationary in a linear lattice; however, an unmatched Gaussian will evolve into a broader distribution, leading to emittance growth.

Recall that the net force acting on any particle is the sum of external forces provided by magnets and self forces due to particle interactions e.g. due to space-charge. In the presence of space charge, there are very few examples of analytical self-consistent stationary distributions. A notable one is the so-called Kaptchinsky-Vladimirsky (K-V) distribution, which strictly speaking is defined in 4D phase space (i.e. it applies to an infinitely long uniform beam) as follows:

f(x.x,y.y)δ(1Wx(x,x)ϵ0xWy(y,y)ϵ0y)f(x.x^{\prime},y.y^{\prime})\propto\delta(1-\frac{W_{x}(x,x^{\prime})}{\epsilon_{0x}}-\frac{W_{y}(y,y^{\prime})}{\epsilon_{0y}}) (1.5)

and ϵ0x,ϵ0y\epsilon_{0x},\epsilon_{0y} are constants. It can be shown that the projection of such a distribution in physical xyx-y space, i.e. the charge density ρ(x,y)\rho(x,y), is uniform over an elliptical region. It follows that the corresponding space charge field is a linear function of the coordinates and therefore a properly matched K-V distribution in constant focusing channel is self-consistent and stationary.

For general charge distributions of elliptical symmetry of the form ρ=ρ(x2a2+y2b2,s)\rho=\rho(\frac{x^{2}}{a^{2}}+\frac{y^{2}}{b^{2}},s), an important result was obtained by Sacharer [3]: the linear part of the self-field depends mainly on the rms size of a distribution and only weakly on its exact form. Moreover, the second moments obey the same envelope equation as the local K-V distribution via the concept of rms equivalence.

This suggests that a strategy to achieve stationarity in the presence of space charge is to match the rms beam moments to the lattice. Specifically, a beam is rms matched when its rms size remains constant as outlined in the following section. If two distributions have comparable rms sizes and experience similar growth, one may conclude that size mismatch is a more important factor than the details of the beam distribution in determining the emittance increase.

2 RMS Mismatch

The envelope equations obtained by Sacharer for a general elliptic beam are as follows:

x~′′+kx2(s)x~ϵx2x~32Kscx~+y~\displaystyle\tilde{x}^{\prime\prime}+k^{2}_{x}(s)\tilde{x}-\frac{\epsilon_{x}^{2}}{\tilde{x}^{3}}-\frac{2K_{\text{sc}}}{\tilde{x}+\tilde{y}} =\displaystyle= 0\displaystyle 0 (2.1)
y~′′+ky2(s)y~ϵy2y~32Kscx~+y~\displaystyle\tilde{y}^{\prime\prime}+k^{2}_{y}(s)\tilde{y}-\frac{\epsilon_{y}^{2}}{\tilde{y}^{3}}-\frac{2K_{\text{sc}}}{\tilde{x}+\tilde{y}} =\displaystyle= 0\displaystyle 0 (2.2)

where x~\tilde{x} and y~\tilde{y} are the rms values of the distribution coordinates,

Ksc=eλL2πϵ0βγ2pcK_{sc}=\frac{e\lambda_{L}}{2\pi\epsilon_{0}\beta\gamma^{2}pc} (2.3)

is the generalized dimensionless perveance, λL\lambda_{L} is the charge line density and kx(s)k_{x}(s), ky(s)k_{y}(s) are respectively the horizontal and vertical lattice focusing strengths. For simplicity, we assume equal focusing in xx and yy and neglect the dependence of the focusing on ss; this is known as the smooth focusing approximation and is generally a good approximation for FODO lattices with phase advance per cell less than 9090^{\circ}. The 2D envelope equations then reduce to the 1D form

a′′+k02aKscaϵ2a3=0a^{\prime\prime}+k_{0}^{2}a-\frac{K_{sc}}{a}-\frac{\epsilon^{2}}{a^{3}}=0 (2.4)

where the effective radius a=x~+y~=2x~a=\tilde{x}+\tilde{y}=2\tilde{x} and k0=ν0/Rk_{0}=\nu_{0}/R is the uniform linear focusing strength, ν0\nu_{0} is the bare lattice tune while RR is the machine radius. A stationary beam in a linear focusing channel is characterized by a constant effective radius, so a′′=0a^{\prime\prime}=0. This state corresponds to perfect balance between the external focusing force, the space charge force and the emittance divergence term. Then

k02aKscaϵ2a3=0k_{0}^{2}a-\frac{K_{sc}}{a}-\frac{\epsilon^{2}}{a^{3}}=0 (2.5)

Due to increased field energy, the emittance of a mismatched beam will evolve. If the space charge (second term in (2.5)) term dominates the emittance term (third term in 2.5), the beam transverse size can grow without bound. The transition occurs at

Ksca2=ϵ2K_{sc}a^{2}=\epsilon^{2} (2.6)

If Ksca2>ϵ2K_{sc}a^{2}>\epsilon^{2}, growth is space charge dominated. We have ϵ=ka2\epsilon=ka^{2} where kk is the net focusing strength after accounting for space charge.

k2=k02Ksca2k^{2}=k_{0}^{2}-\frac{K_{\text{sc}}}{a^{2}} (2.7)

Defining ν\nu as the tune in the presence of space charge, with ν<ν0\nu<\nu_{0}, the tune depression ν/ν0\nu/\nu_{0} at the transition is found using

Ksc\displaystyle K_{sc} =\displaystyle= k2a2a2(k02k2)=k2a2\displaystyle k^{2}a^{2}\Rightarrow a^{2}(k_{0}^{2}-k^{2})=k^{2}a^{2}
νν0=kk0\displaystyle\frac{\nu}{\nu_{0}}=\frac{k}{k_{0}} =\displaystyle= 120.707\displaystyle\sqrt{\frac{1}{2}}\approx 0.707 (2.8)
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Figure 1: Transition from emittance dominated to space charge dominated regimes for bunched and coasting beams in IOTA

Figure 1 shows the tune depression as a function of bunch intensity for both bunched and coasting beams. Even at full design intensity (101110^{11}), a coasting beam in IOTA is not space charge dominated [2]. This is reflected in previous work which showed substantially less emittance growth for a coasting beam than for a bunched beam [1]. It can also be seen that for a bunched beam, transition to the space charge dominated regime occurs at an intensity of 4×10104\times 10^{10}. Beyond that threshold, the emittance is expected to grow substantially. Using the simple picture of a uniform equivalent beam, Reiser [4] has shown how one can obtain a quantitative prediction of emittance growth arising from an imperfectly matched injected beam. We summarize the essential results.

Let the total energy per particle in the mismatched beam be EnE_{n} and the energy per particle in the equivalent matched beam be EiE_{i}. The difference ΔE=EnEi\Delta E=E_{n}-E_{i} represents free energy that can be converted into thermal motion, i.e. emittance growth. One can show that for a uniform stationary beam the total energy per particle, that is the sum of the kinetic energy, the potential energy due to external focusing, and the self field energy due to space charge

E\displaystyle E =\displaystyle= Ek+Ep+Es\displaystyle E_{k}+E_{p}+E_{s} (2.9)
=\displaystyle= γmv24[[ka2+k0a2]+12[k0k2]a2(1+4lnba)]\displaystyle\frac{\gamma mv^{2}}{4}\left[\left[ka^{2}+k_{0}a^{2}\right]+\frac{1}{2}[k_{0}-k^{2}]a^{2}(1+4\ln\frac{b}{a})\right] (2.10)

where aa is the equivalent rms size, bb is the (conducting) beam pipe radius. If we assume that the imperfectly matched beam relaxes into a matched state, the energy in the final stationary state must be equal to the energy in the initial state. With aia_{i}, afa_{f} the initial and final rms equivalent sizes of the beam and kik_{i},kfk_{f} the initial and final net focusing constants one has

γmv24[[kfaf2+k02af2]+12[k0kf2]af2(1+4lnbaf)]=γmv24[[kfaf2+k02af2]+12[k0kf2]af2(1+4lnbaf)]+ΔE\frac{\gamma mv^{2}}{4}\left[\left[k_{f}a_{f}^{2}+k_{0}^{2}a_{f}^{2}\right]+\frac{1}{2}[k_{0}-k_{f}^{2}]a_{f}^{2}(1+4\ln\frac{b}{a_{f}})\right]=\\ \frac{\gamma mv^{2}}{4}\left[\left[k_{f}a_{f}^{2}+k_{0}^{2}a_{f}^{2}\right]+\frac{1}{2}[k_{0}-k_{f}^{2}]a_{f}^{2}(1+4\ln\frac{b}{a_{f}})\right]+\Delta E (2.11)

The free energy may be expressed in the form

ΔE=12γmv2k02ai2h\Delta E=\frac{1}{2}\gamma mv^{2}k_{0}^{2}a_{i}^{2}h (2.12)

where hh, the ratio between the actual and the equivalent uniform distribution energy per particle, is a dimensionless factor or order unity (referred to as the free energy parameter) that can be calculated. Using (2.11) and (2.12) we obtain a relation between afa_{f} and aia_{i}

(afai)2(1ki2k02)lnaiaf=h\left(\frac{a_{f}}{a_{i}}\right)^{2}-(1-\frac{k^{2}_{i}}{k^{2}_{0}})\ln\frac{a_{i}}{a_{f}}=h (2.13)

which for afai<<aia_{f}-a_{i}<<a_{i} (usually true with moderate space charge effects) may be simplified to

afai1+h1+(ki/k0)2\frac{a_{f}}{a_{i}}\simeq 1+\frac{h}{1+(k_{i}/k_{0})^{2}} (2.14)

At high intensities, as is the case in IOTA at full intensity, there is large emittance and beam size growth for which the above approximation is not valid. Finally, from the equilibrium condition (2.5) we get the difference in emittance between the final and initial stationary beams

Δϵ2=ϵf2ϵi2=kf2af4ki2ai4\Delta\epsilon^{2}=\epsilon_{f}^{2}-\epsilon_{i}^{2}=k_{f}^{2}a^{4}_{f}-k_{i}^{2}a_{i}^{4} (2.15)

The complete set of equations for calculating emittance growth without further approximations is [2],

ki2ai4\displaystyle k_{i}^{2}a_{i}^{4} =\displaystyle= ϵ2,ki2k02Kscai2\displaystyle\epsilon^{2},\;\;\;k_{i}^{2}\equiv k_{0}^{2}-\frac{K_{sc}}{a_{i}^{2}} (2.16)
h\displaystyle h =\displaystyle= 12ki2k02[ai2a021+k02ki2(a02ai21)+2Kscki2ai2ln(aia0)]\displaystyle\frac{1}{2}\frac{k_{i}^{2}}{k_{0}^{2}}[\frac{a_{i}^{2}}{a_{0}^{2}}-1+\frac{k_{0}^{2}}{k_{i}^{2}}(\frac{a_{0}^{2}}{a_{i}^{2}}-1)+2\frac{K_{sc}}{k_{i}^{2}a_{i}^{2}}\ln(\frac{a_{i}}{a_{0}})] (2.17)
h\displaystyle h =\displaystyle= af2ai21[1ki2k02]ln(afai)\displaystyle\frac{a_{f}^{2}}{a_{i}^{2}}-1-[1-\frac{k_{i}^{2}}{k_{0}^{2}}]\ln(\frac{a_{f}}{a_{i}}) (2.18)
ϵfϵi\displaystyle\frac{\epsilon_{f}}{\epsilon_{i}} =\displaystyle= afai[1+k02ki2{(afai)21}]1/2\displaystyle\frac{a_{f}}{a_{i}}\left[1+\frac{k_{0}^{2}}{k_{i}^{2}}\{(\frac{a_{f}}{a_{i}})^{2}-1\}\right]^{1/2} (2.19)

The procedure to use them is as follows:

  1. 1.

    Given the tune, initial emittance and bunch intensity, solve the envelope equation (2.16) to find the initial matched beam size aia_{i}.

  2. 2.

    Use Eq.(2.17) to find hh.

  3. 3.

    Use Eq.(2.18) to find the ratio of final to initial matched beam sizes af/aia_{f}/a_{i}

  4. 4.

    Use Eq.(2.19) to find the ratio of final to initial emittances ϵf/ϵi\epsilon_{f}/\epsilon_{i}

2.1 Theory vs Simulations

Though the search for better theoretical models is ongoing, the simple 1D mismatch theory can already account for more than half of emittance growth observed in pyORBIT simulations. Figure 2 compares the theory to pyORBIT simulations for both bunched and coasting beams.

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Figure 2: Growth predicted by 1D mismatch theory and pyORBIT for coasting (left) and bunched beams (right)

For a coasting beam, the disparity between theory and simulation is about 2%2\% at full intensity. For a bunched beam at full intensity, the theory can still account for about 2/3 of a 6-fold increase.

It is important to reiterate that the simplified theory assumes the smooth focusing approximation holds and does not take dispersion or transverse coupling into consideration. That said, it is encouraging that despite the relative crudeness of the theory, predictions are generally compatible with simulations results.

2.2 RMS Matching at a high symmetry location (βx=βy\beta_{x}=\beta_{y})

In the presence of space-charge, RMS matching is expected to be an effective strategy to achieve reasonably stationary conditions and therefore control emittance growth and particle loss. In principle, matching can be performed at any location in the lattice; however, in practice it is simplest to perform matching at a location of high symmetry. We choose the center of the octupole insert, where (in the absence of space charge) βx=βy\beta_{x}=\beta_{y}, αx=αy=0\alpha_{x}=\alpha_{y}=0, and Dx=D=0D_{x}=D=0. The impact of this matching on emittance growth and particle loss at full intensity is shown in Figure 3; no slow initialization was performed. At an optimal value of β\beta, loss is reduced to 0%0\%, even lower than the 0.2%0.2\% achieved with the previous match at the normal injection point. That said, emittance growth remains significant, increasing by a factor of 88 to 1010 from its initial value. These results reaffirm the observation that while RMS matching is helpful in reducing loss, it has a much lesser impact on emittance growth. An explanation for this state of affairs is a topic for future work.

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Figure 3: Emittance growth and particle loss as a function of the initial matched β\beta.

3 Non-Equilibrium Distributions

While mismatch is a significant source of emittance growth, non-equilibrium distributions also have an impact. To better understand this source of growth, we compared the Gaussian and a flat-topped distribution in bunched beams. The latter distribution has a uniform charge density, but over a region delimited by a rectangular boundary rather than an elliptic one (for a KV distribution). While the space charge field for such a distribution is linear in the vicinity of its center, significant deviations from linearity may be expected near the boundary, in the corner regions. Comparisons with a KV distribution will be discussed in a future report.

Figure 4 shows the discrepancy in growth between the two distributions at an intensity of 101010^{10} with 40 turns of slow initialization and matched initial emittance for a Gaussian and a flat-topped distribution. There is no particle loss over 1000 turns in either case.

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Figure 4: Relative emittance growth for flat-topped and Gaussian distributions at a bunch intensity of 1×1010\times 10^{10}.

Emittance growth for the Gaussian distribution is greater than for the flat-topped, increasing by a factor 1.6 in xx and 1.5 in yy vs 1.2 in xx and 1.3 in yy respectively. This confirms that the specifics of a non-equilibrium distribution have an impact on emittance growth at low intensity.

At full intensity, growth occurs rapidly, on a much shorter timescale, possibly due to a different dominant source of growth. With no slow initialization, and truncated initial distributions with matched initial emittance, emittance growth is very similar between the distributions over the first ten turns, as shown in Figure 5. In both cases, emittance grows by a factor 20 horizontally and 10 vertically.

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Figure 5: Emittance growth and losses over the first 10 turns for flat-topped (left) and Gaussian distributions (right) at a bunch intensity of 9×1010\times 10^{10}.

Examining this growth in 2D histograms, shown in Figures 7 and 7, there is very similar initial behavior between the two distributions. Horizontal phase space rapidly develops a populated halo, extending to 0.015 m in xx and 0.015 rad in xx^{\prime}. Halo growth in the vertical plane is substantially more constrained, extending to roughly 0.01 m in yy and 0.01 rad in yy^{\prime}.

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Figure 6: Phase space growth in x after the first 10 turns for the flat-topped distribution (top row) and for the Gaussian distribution (bottom row).
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Figure 7: Phase space growth in y after the first 10 turns for the flat-topped distribution (top row) and for the Gaussian distribution (bottom row).

Looking at longer term growth i.e. over 1000 turns instead of the initial 10, the two distributions still behave very similarly. Figure 8 shows this for 40 turns of slow initialization and a full Gaussian distribution and a flat-topped distribution with matched initial emittance. This suggests that mismatch, rather than the specifics of the distribution, may be a stronger source of growth at full intensity. This is interesting as it hints at a change in the dominant source of growth as intensity increases. There is also notably more loss with the Gaussian distribution, at about 0.035%0.035\% as compared to about 0.025%0.025\%. This suggests greater halo growth over 1000 turns.

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Figure 8: Emittance growth and losses over 1000 turns for flat-topped (left) and Gaussian (right) distributions at a bunch intensity of 9×1010\times 10^{10}.

4 Space Charge and Octupoles

An important aspect of research at IOTA is the potential for either quasi or fully integrable optics to mitigate space charge resonances. We begin this investigation by looking at the impact of an octupole string insert (quasi-integrable optics) on beam dynamics. Previous work found that the dynamic aperture in the presence of this type of insert is reduced to approximately 3σ3\sigma [1]. The impact of such a reduction is evident in many of the simulation results.

In all simulations, particles are tracked for 1000 turns. To allow the beam to relax into any physically accessible steady state, the physical aperture radius is set to an arbitrarily large value (10 cm). We examine a bunched beam with reduced and full beam intensities, octupoles at various strengths, and selected initial particle distributions.

4.1 Low Intensity Results

Even at a very low intensity of 10910^{9}, the impact of the decreased dynamic aperture is evident. With a full Gaussian distribution and full strength octupoles, particles almost immediately reach the dynamic aperture boundary. This is shown in Figure 9, comparing a bunched beam with octupoles at 1/21/2 strength and full strength.

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Figure 9: Emittance growth and loss over 1000 turns with a full Gaussian distribution at intensity 10910^{9}.

At 1/21/2 strength, particles remain within the dynamic aperture and emittance grows about 2%2\% with loss slightly above 0.10%0.10\% after 1000 turns. However, with octupoles at full strength, particles immediately move outside of the dynamic aperture, as evidenced by the emittance spike right after turn 0. This induces substantial particle loss — more than 5%5\% after 1000 turns.

At a higher intensity of 101010^{10}, the effect becomes more pronounced. Figure 10 shows the same comparison as before but at the increased intensity. At half strength octupoles, there is still no immediate loss due to the dynamic aperture but instead grows slowly to 5~%\tilde{5}\% over the 1000 turns. At full strength octupoles, there is again immediate loss which grows more rapidly and exceeds 20%20\% over the same time.

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Figure 10: Emittance growth and loss over 1000 turns with a full Gaussian distribution at intensity 101010^{10}.

There is also an evident dispersion effect. At both octupole strengths, emittance growth is significantly larger in the vertical plane. For example, for the 1/21/2 strength case, ϵy\epsilon_{y} grows 25%25\% while ϵx\epsilon_{x} grows 15%15\%. The likely explanation is that dispersion increases the horizontal beam size, which causes a reduction of horizontal space charge forces and therefore less emittance growth. The effect of dispersion is also observed in loss distributions as a function of the transverse distance; at the same distances along xx and yy, the loss in the xx plane is greater.

To prevent immediate loss due to the dynamic aperture, a truncated Gaussian distribution is effective. In the following simulations, the distribution was truncated to 1.5σ1.5\sigma. Without octupoles, such a distribution produces no loss over 1000 turns.

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Figure 11: Emittance growth and loss over 1000 turns with a truncated Gaussian distribution at intensity 101010^{10}.

Figure 11 shows results from the truncated distribution. Notably, there is no immediate loss due to the dynamic aperture even with octupoles at full strength. Comparing these results with the full Gaussian distribution, we find that loss decreases from 5%5\% to 1.6%1.6\% with octupoles at half strength and from 20%20\% to 10%10\% with octupoles at full strength. ϵy\epsilon_{y} still sees a greater increase than ϵx\epsilon_{x}, showcasing the same dispersion effect described above. There is a small peak early in ϵx\epsilon_{x} which likely corresponds to halo loss. Again, the likely explanation is that the halo particle amplitudes are greater in the horizontal plane due to dispersion.

4.2 Full Intensity Results

At full intensity, with octupoles at both half and full strengths, even with a truncated Gaussian distribution, particles hit the dynamic aperture. Shown in Figure 12, the initial behavior is chaotic and results in losses upwards of 70%70\% and 80%80\% respectively. While these results do not appear promising for operation with an octupole insert, further investigations are necessary before one can reach definitive conclusions.

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Figure 12: Emittance growth and loss with a truncated Gaussian distribution at full intensity.

5 Conclusions

  • Initial mismatch theory suggests that bunched beams in IOTA are space charge dominated at intensities greater than 4×10104\times 10^{10}. In contrast, the same theory suggests that coasting beams in IOTA remain emittance dominated through the maximum beam intensity of 9×10109\times 10^{10}.

  • Simulations show that RMS matching is effective at reducing beam loss. At full intensity of 9×10109\times 10^{10}, loss over 1000 turns decreased from greater than 1%1\% in the linear lattice not RMS matched to space charge lattice functions to approximately 0.2%0.2\% in a lattice RMS matched at the injection point. RMS matching in the center of the octupole insert where βx=βy\beta_{x}=\beta_{y} and initial dispersion is 0 showed even greater improvement, reducing loss to 0%0\%. In both cases, emittance growth was not meaningfully reduced, changing from a roughly 9-fold increase to an 8-fold increase.

  • At a reduced intensity of 101010^{10}, using a lattice RMS matched at the center of the octupole insert, and using 40 turns of slow initialization, emittance growth over 1000 turns for a Gaussian distribution is greater than that of a flat-topped distribution, increasing by approximately 1.6 compared to 1.2 horizontally and approximately 1.5 compared to 1.3 vertically. This shows that a non-equilibrium distribution has a significant impact on emittance growth at low intensity. On the other hand, with the same conditions at full intensity, emittance growth for the two distributions is very similar, with both increasing more than 6-fold in both x and y. This suggests that at full intensity, RMS mismatch is a stronger source of emittance growth than a non-equilibrium distribution.

  • The presence of an octupole insert greatly reduces the dynamic aperture to about 3σ3\sigma, necessitating a truncated initial distribution to prevent a high level of immediate loss. With full strength octupoles, at a lower intensity of 101010^{10}, a full Gaussian distribution leads to particle loss upwards of 20%20\% after 1000 turns while a distribution truncated to 1.5σ1.5\sigma results in less than half of this loss.

  • The impact of dispersion is evident in the differences in emittance growth and loss between the horizontal and vertical planes. At an intensity of 101010^{10}, using a lattice RMS matched to the injection point, and octupoles at half strength, a truncated Gaussian distribution sees vertical emittance growth of 50%50\% and horizontal growth of 25%25\% after 1000 turns. With the same conditions and octupoles at full strength, emittance grows 25%25\% in y and 15%15\% in x. Growth is greater in the vertical plane because dispersion increases horizontal beam size, reducing horizontal space charge forces. Dispersion also increases horizontal amplitudes, increasing horizontal loss relative to vertical loss.

Acknowledgments
We thank the SIST internship program at Fermilab which enabled the participation of David Feigelson in this study. Fermilab is operated by Fermi Research Alliance LL under DOE contract No. DE-AC02CH11359.

References

  • [1] R. Li, T. Sen, and J.-F. Ostiguy, Modeling Transverse Space Charge effects in IOTA with pyORBIT Fermilab report FERMILAB-TM-2753-AD.
  • [2] T. Sen, unpublished notes
  • [3] F. J. Sacharer, RMS Envelope Equations with Space Charge, IEEE Transactions on Nuclear Science 18, 3, June 1971, pp 1105-1107
  • [4] M. Reiser, Theory and Design of Charged Particle Beams, 2nd Ed, Wiley-VCH Verlag GmbH & Co. (2008)