Revisiting the Lyth bound constraints on inflation from ACT DR6 results

Figures(3) / Tables(59)

Get Citation
Rui Yang, Jun Tao, Peng Wang and Mian Zhu. Revisiting the Lyth bound constraints on inflation from ACT DR6 results[J]. Chinese Physics C. doi: 10.1088/1674-1137/ae9b9c
Rui Yang, Jun Tao, Peng Wang and Mian Zhu. Revisiting the Lyth bound constraints on inflation from ACT DR6 results[J]. Chinese Physics C.  doi: 10.1088/1674-1137/ae9b9c shu
Milestone
Received: 2026-06-18
Article Metric

Article Views(5)
PDF Downloads(0)
Cited by(0)
Policy on re-use
To reuse of subscription content published by CPC, the users need to request permission from CPC, unless the content was published under an Open Access license which automatically permits that type of reuse.
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Email This Article

Title:
Email:

Revisiting the Lyth bound constraints on inflation from ACT DR6 results

    Corresponding author: Mian Zhu, zhumian@scu.edu.cn
  • College of Physics, Sichuan University, Chengdu 610065, China

Abstract: The Lyth bound states that the field excursion of the inflaton must be sub-Planckian, thereby imposing an upper bound on the amplitude of the tensor power spectrum in inflationary scenarios. This bound is conventionally derived under the assumption of a scale-invariant curvature power spectrum, i.e., $ n_s = 1 $. However, astrophysical observations confirm a red-tilted spectrum with $ n_s \lt 1 $. In light of recent results from the Atacama Cosmology Telescope (ACT) DR6, we revisit these constraints using the newly inferred scalar spectral index, $ n_s \simeq 0.9743 $. Incorporating the ACT data yields a different upper bound on the tensor-to-scalar ratio r and clarifies whether non-canonical inflationary scenarios can remain compatible with both CMB observations and a sub-Planckian field excursion. Our result highlights the importance of combining theoretical considerations of the Lyth bound with up-to-date astrophysical data.

    HTML

    I.   INTRODUCTION
    • Inflation is the leading paradigm for the primordial universe [1−7]. Nevertheless, inflation faces conceptual challenges. A central challenge is the so-called Lyth bound [8], which calls into question the consistency of an effective field theory description of inflation. The Lyth bound states that the field excursion $ \Delta \phi $ is related to the tensor-to-scalar ratio r and the e-folding number $ N_{\ast} $ via

      $ \Delta \phi/M_p \simeq \left( \frac{r}{0.002} \right)^{\frac{1}{2}} \left( \frac{N_{\ast}}{60} \right) \; , $

      (1)

      in canonical inflation. As a result, the field excursion over the entire inflationary period can exceed the Planck mass when $ r \geq 0.002 $. This implies that the effective description is sensitive to higher-dimensional operators unless the large field range is protected by a symmetry or by a suitable ultraviolet completion. Extensive literature has investigated the implications of the Lyth bound and possible ways to circumvent it [9−31]. See, e.g., [32] for a review.

      Conventionally, the Lyth bound is evaluated by assuming a scale-invariant curvature power spectrum $ P_{\zeta} $, i.e., a scalar spectral index $ n_s = 1 $. However, observations suggest a slight red tilt in $ P_{\zeta} $. For example, the Planck 2018 results suggest [33]

      $ n_s = 0.9649 \pm 0.0042 \; . $

      (2)

      When the red tilt is taken into consideration, the constraints imposed by the Lyth bound are modified [9, 34]. Notably, Refs. [35, 36] proposed that this red tilt strengthens the Lyth bound constraint. Therefore, it is essential to revisit the Lyth bound constraint by accounting for the red tilt. This task is especially timely given the recent Atacama Cosmology Telescope (ACT) result, as the ACT DR6 data imply a scalar spectral index slightly different from that reported by the Planck Collaboration [37]

      $ n_s = 0.9743 \pm 0.0034 \; , $

      (3)

      and has generated immediate interest in the cosmology community [38−71]. Hence, we are motivated to investigate the updated Lyth bound constraints using the new ACT DR6 data.

      Because canonical single-field slow-roll inflation is severely constrained by the Lyth bound, we consider inflationary scenarios with non-canonical scalar-field kinetic terms, which are constructed to evade the Lyth bound challenge [72−79]. Notably, the Lyth bound constraints on these non-canonical scenarios have been investigated almost exclusively under the assumption $ n_s = 1 $, and can therefore be improved by incorporating the ACT results, which is the focus of this manuscript. Specifically, we investigate two possible non-canonical couplings: one with a kinetic-inflaton coupling [80−84], and another with a modified kinetic term $ K(X) $ [85−92]. We find that the combination of the sub-Planckian field excursion required by the Lyth bound and the red-tilted curvature spectrum suggested by ACT results can impose strengthened constraints on inflationary scenarios.

      The manuscript is organized as follows. We introduce the concept of the Lyth bound pedagogically in Sec. II, and illustrate how a red-tilted curvature spectrum can strengthen this bound, using a kinetic-inflaton coupling model as an example. We then investigate inflationary scenarios with modified kinetic terms in Sec. III, and show that a certain class of models consistent with the PLANCK 2018 + Lyth bound joint constraints is excluded by the ACT + Lyth bound joint analysis. We finally conclude in Sec. IV.

    II.   A PEDAGOGICAL INTRODUCTION TO LYTH BOUND

      A.   The original Lyth bound

    • In a spatially flat Friedmann–Lemaître–Robertson–Walker (FLRW) universe

      $ {\rm d}s^2 = a^2(\tau) \left[ -{\rm d}\tau^2 + \delta_{ij}{\rm d}x^i {\rm d}x^j \right] , $

      (4)

      $ \frac{1}{M_p} \left|\frac{{\rm d}\phi}{{\rm d}N} \right| = \sqrt{2\epsilon} \; . $

      (5)

      Moreover, the consistency relation implies $ r = 16\epsilon $, so that

      $ \frac{1}{M_p} \left| \frac{{\rm d}\phi}{{\rm d}N} \right| \simeq \sqrt{\frac{r}{8}}. $

      (6)

      Thus, the canonical field excursion during inflation is

      $ \frac{\Delta\phi}{M_p} \simeq \int_{N_{\rm bg}}^{N_{\rm end}} {\rm d}N \sqrt{\frac{r(N)}{8}} \; , $

      (7)

      where $ N_{\rm bg} $ and $ N_{\rm end} $ denote the number of e-folds at the beginning and end of the time interval under consideration, respectively. For later convenience, let us introduce $ N_\star \equiv N_{\rm end}-N_{\rm bg} $. We require the single-field description to remain valid at least from the CMB scale to the end of inflation. To solve the flatness and horizon problems, this interval is conventionally estimated to be $ N_{\ast} \simeq 60 $. Assuming a constant r over different values of N, the integral immediately yields the Lyth bound constraint in Eq. (1).

    • B.   An example: Lyth bound with non-canonical kinetic terms

    • To demonstrate how the inclusion of non-canonical kinetic terms may modify the Lyth bound constraint, we begin with the following non-canonical action.

      $ {\cal{S}} = \int {\rm d}^4x \sqrt{-g} \left[ \frac{M_p^2}{2} R -\frac{1}{2} m^2(\phi) \partial^\mu \phi \partial_\mu\phi -V(\phi) \right] \; , $

      (8)

      and use the following choices [82]

      $ m^2(\phi) = \left(\frac{\alpha^2-\tilde{\alpha}^2}{\tilde{\alpha}^2}\right) \frac{1}{1+\beta^2 {\rm e}^{\alpha\phi/M_p}}+1 \; ,\; V(\phi) = M_p^4 {\rm e}^{-\alpha\phi/M_p} \; . $

      (9)

      Here, the coupling $ m^2(\phi) $ can reduce the field excursion relative to the canonical case for a given geometric evolution. Although we adopt the form of $ m^2(\phi) $ following [82], any choice satisfying $ m(\phi) \gg 1 $ can, in principle, produce the same effect. In addition, the steep exponential potential [93] can render the field coordinate effectively invariant after canonical normalization and is therefore widely adopted in quintessential inflation. The associated Friedmann equations are

      $ 3M_p^2 H^2 = \frac12 m^2(\phi)\dot{\phi}^2+V(\phi) \; , $

      (10)

      $ 2M_p^2\dot H = -m^2(\phi)\dot{\phi}^2 \; . $

      (11)

      The field velocity in this case is

      $ \frac{1}{M_p} \left| \frac{{\rm d}\phi}{{\rm d}N} \right| = \frac{\sqrt{2\epsilon}}{m(\phi)} \; . $

      (12)

      Compared with Eq. (7), we find that $ \Delta \phi $ can be modified by the function $ m(\phi) $. Thus, an appropriately chosen $ m(\phi) $ can reduce the value of $ \Delta \phi $, thereby allowing a smaller field excursion for a fixed r [82]. Although this appears to circumvent the Lyth bound for the original field ϕ, such a conclusion is premature, as demonstrated in the following section.

    • C.   Coordinate excursion versus canonical excursion

    • This apparent evasion, however, can be an artifact of field parametrization. Under a field redefinition $ \phi \to f(\phi) $, the excursion changes, whereas the physics remains invariant. A commonly adopted approach in discussions of the Lyth bound is to measure the distance using the canonically normalized field [94]. In the model in Eq. (8), this can be done naturally by introducing the canonically normalized field

      $ {\rm d}\chi \equiv m(\phi) {\rm d}\phi \; . $

      (13)

      However, after transforming to the canonical scalar field, the field range is simply

      $ \frac{\Delta \chi}{M_p} = \int^{N_{\ast}} {\rm d} N \sqrt{r(N)/8} \; . $

      (14)

      Thus, if the field excursion is interpreted as the canonical field excursion, the kinetic coupling to the inflaton does not enable the model to evade the constraints imposed by the Lyth bound.

      Specifically, the excursion of ϕ in the model of Eq. (8) is

      $ \frac{1}{M_p} \left| \frac{{\rm d}\phi}{{\rm d}N} \right| = \frac{\sqrt{2\epsilon}}{m(\phi)} = \frac{\alpha}{m^2(\phi)}= \frac{2\epsilon}{\alpha} = \frac{r}{8\alpha} \; . $

      (15)

      where we used the expression for the slow-roll parameter $ \epsilon \equiv -\dot{H}/H^2 $

      $ m(\phi(N_p))^2 \simeq \frac{8\alpha^2 }{r} \; ,\; \epsilon \simeq \frac{M_p^2}{2m^2(\phi)} \left(\frac{V'(\phi)}{V(\phi)}\right)^2 = \frac{\alpha^2}{2m^2(\phi)} \; , $

      (16)

      and it is immediately apparent that a large α can significantly suppress $ \Delta \phi $.

      Moreover, we need to account for the effect of $ n_s \neq 1 $ on $ \Delta \chi $. Again, the consistency relation gives

      $ n_t \simeq -\frac{r}{8} \; ,\; \delta \equiv 1-n_s \; , $

      (17)

      thus

      $ \frac{{\rm d}\ln r}{{\rm d}N} \simeq n_t-(n_s-1) = \delta-\frac{r}{8} \; . $

      (18)

      Given the observed small red tilt, we adopt the approximation $r(N) \simeq r_{\ast} {\rm e}^{\delta N}$, where $ r_{\ast} $ is the tensor-to-scalar ratio at the ACT pivot scale, $k_{\ast} = 0.05\;\rm Mpc^{-1}$. This leads to

      $ \Delta \chi/M_p \simeq \left( \frac{r_{\ast}}{8} \right)^{\frac{1}{2}} \frac{2}{\delta} \left( {\rm e}^{\delta N_{\ast}/2} - 1 \right) \; , $

      (19)

      which reduces to $ \Delta \chi/M_p = N_{\ast} (r_{\ast}/8)^{1/2} $ in the limit $ \delta \to 0 $. Notably, the dependence of χ on α is now implicit. In addition, the inequality $ \Delta \chi /M_p \ll 1 $ implies

      $ r_{\ast} \ll \frac{2\delta^2}{\left( {\rm e}^{\delta N_{\ast}/2} - 1 \right)^2} \; . $

      (20)

      Therefore, the upper bound on $ r_{\ast} $ cannot be adjusted by varying α once δ and $ N_{\ast} $ are fixed.

    • D.   Improved Lyth bound constraints with ACT

    • Here, we do not intend to assess whether $ \Delta \phi $ and $ \Delta \chi $ are more appropriate for considerations of the Lyth bound. Instead, we show in this section that precise measurements of $ n_s $ and r are essential for constraining the Lyth bound and that the model can be constrained through a joint analysis of the Lyth bound and ACT observations. The model in Eq. (8) is designed to suppress the coordinate excursion and thereby evade the usual Lyth bound constraint. Thus, the Lyth bound enters the scenario at the level of model construction. Nevertheless, once the action is specified based on the Lyth bound consideration, its predictions for $ (n_s,r) $ cannot be consistent with ACT observations, as shown below. For the canonical field excursion case, we derive the upper bound on r from Eq. (20) for three cases: $ n_s = 1 $, $ n_s = 0.9649 $ (Planck 2018), and $ n_s = 0.9743 $ (ACT DR6). The results are summarized in Table 1. We find that the Lyth bound becomes more stringent as the deviation of $ n_s $ from unity increases. The Planck 2018 results impose the strictest upper bound, $ r \lt 7.1 \times 10^{-4} $ for $ N_{\ast} = 60 $, whereas the ACT results slightly alleviate this constraint, allowing $ r \lesssim 9.7 \times 10^{-4} $, because the suggested value of $ n_s $ is slightly larger than that from the Planck result.

      $ N_*$ $ \delta \to 0 $
      $ n_s=1 $
      Planck 2018
      $ n_s=0.9649 $
      ACT DR6
      $ n_s=0.9743 $
      50 $ 3.20\times 10^{-3} $ $ 1.25\times 10^{-3} $ $ 1.63\times 10^{-3} $
      60 $ 2.22\times 10^{-3} $ $ 7.07\times 10^{-4} $ $ 9.78\times 10^{-4} $
      70 $ 1.63\times 10^{-3} $ $ 4.22\times 10^{-4} $ $ 6.21\times 10^{-4} $
      80 $ 1.25\times 10^{-3} $ $ 2.61\times 10^{-4} $ $ 4.10\times 10^{-4} $

      Table 1.  Upper limit on r from the Lyth bound for different assumed values of $ n_s $.

      We now consider the original field excursion $ \Delta \phi $. Although the model permits a small $ \Delta \phi $ for $ \alpha \gg 1 $, an internal consistency relation between $ n_s $ and r could render the model problematic. In the slow-roll approximation,

      $ A_s = \frac{H^2}{8\pi^2M_p^2\epsilon} , \;\; n_s-1 = -2\epsilon - \eta , \;\; r = 16\epsilon , $

      (21)

      where $ \eta \equiv \dot{\epsilon}/H\epsilon $ is the second slow-roll parameter. Using the Friedmann equations and the slow-roll condition, we obtain

      $ \eta(r) \simeq \frac{(8\alpha^2-r)(r-8\tilde{\alpha}^2)}{64(\alpha^2-\tilde{\alpha}^2)} \; . $

      (22)

      Expressing $ n_s $ in terms of η yields the following consistency relation

      $ r(n_s) = 8\left[ \alpha^2 - \sqrt{ (\alpha^2-\tilde{\alpha}^2) \bigl(\alpha^2-(1-n_s)\bigr) } \right] \; , $

      (23)

      In the large-α limit, which is required for a small $ \Delta \phi $, Eq. (23) reduces to

      $ r \simeq 4 ( \tilde{\alpha}^2 + \delta ) \geq 4\delta \; . $

      (24)

      The ACT results imply $ \delta = 0.0257 $ and therefore $ r \geq 0.103 $, which far exceeds the upper limit set by the ACT observations. We perform both a semi-analytic investigation using the slow-roll approximation and a full numerical evaluation, as summarized in Fig. 1. The small differences between the semi-analytic and numerical results mainly arise from the slow-roll approximation used in the semi-analytic calculation, whereas the numerical calculation retains the full time evolution of the background and perturbations. The lower bound on r from Eq. (23) indeed prevents the model from being consistent with the ACT observations. The numerical and semi-analytic $(n_s, r) $ values plotted in both panels of Fig. 1 are listed in Tables A1−A4 and A5−A8 of Appendix A.

      Figure 1.  (color online) The $ (n_s,r) $ plot is shown for model parameter $ \alpha=30 $ and $ N_*=50,60,70,80 $. The model parameter is chosen such that $ A_s = 2.1 \times 10^{-9} $ is fixed. The numerical and semi-analytic $(n_s, r) $ values are listed in Tables A1−A4 and A5−A8 of Appendix A. The left and right panels show the coordinate and canonical field excursions, $ \Delta \phi $ and $ \Delta\chi $, respectively, indicating that the canonical field excursion is far beyond the Planck scale.

      The preceding discussion shows that the deviation of $ n_s $ from unity can significantly affect the constraints imposed by the Lyth bound. In particular, a joint analysis of the Lyth bound and the observed $ (n_s, r) $ values from CMB data can substantially strengthen constraints on inflationary models. Specifically, we show that the model (8), which was designed to evade the theoretical constraint from the Lyth bound, fails to pass the ACT test.

    III.   INFLATION WITH MODIFIED KINETIC TERMS
    • We now consider the inflationary scenario with modified kinetic terms. We adopt the following Lagrangian

      $ P(X,\phi) = {\cal{K}}(X)-V(\phi) \; ,\; X\equiv -\frac12 g^{\mu\nu}\partial_\mu\phi\,\partial_\nu\phi \; . $

      (25)

      In a homogeneous background, $ X=\dot\phi^2/2 $. The tensor-to-scalar ratio r can be suppressed by using a power-law parametrization of $ K(X) $

      $ {\cal{K}}(X) = M^4 \left(\frac{X}{M^4}\right)^\gamma \; ,\; \gamma\geq 1 \; , $

      (26)

      because the sound speed of curvature fluctuations is modified to

      $ c_s^2 \equiv \frac{P_{,X}}{P_{,X}+2XP_{,XX}} = \frac{1}{2\gamma-1} \lt 1 \; , $

      (27)

      and, as a result, the consistency relation $ r \simeq 16 c_s \epsilon $ implies a smaller r for the same slow-roll parameter. The power-law parametrization in Eq. (26) is a representative model for the k-inflation scenario, as it keeps the sound speed constant. In particular, since $ r \propto c_s $, reducing $ c_s $ can help suppress r, motivating phenomenological interest in investigating such models.

      Let us explain why the model in Eq. (26) is expected to significantly modify the field excursion. For illustrative purposes, we use an exponential potential [93]

      $ V(\phi) = V_0 \exp \left[ -\lambda\left(\frac{\phi}{M_p}\right)^n \right] \; , $

      (28)

      where M is a parameter with dimensions of mass. The slow-roll condition can be satisfied for $ \lambda>0 $ and $ n \gt 0 $, with the slow-roll parameter given by

      $ \epsilon \equiv -\frac{\dot H}{H^2} = \frac{XP_{,X}}{M_p^2H^2} = \frac{\gamma X^\gamma} {M_p^2H^2 (M^4) ^{\gamma-1}} \; . $

      (29)

      Without loss of generality, we take $ \phi>0 $; the field excursion is

      $ \frac{1}{M_p}\frac{{\rm d}\phi}{{\rm d}N} = \sqrt{2} \left(\frac{\epsilon}{\gamma}\right)^{1/(2\gamma)} \left(\frac{M}{M_p}\right)^{1-1/\gamma} \left(\frac{H}{M}\right)^{1/\gamma-1} \; . $

      (30)

      It is immediately apparent that the tensor-to-scalar ratio r cannot, by itself, determine the field excursion. In particular, in the limit $ \gamma \gg 1 $, the field excursion reduces to

      $ \frac{1}{M_p} \frac{{\rm d}\phi}{{\rm d}N} \simeq \sqrt{2} \frac{M^2}{M_pH} \; , $

      (31)

      which is completely decoupled from r. Thus, these models are expected to bypass the Lyth bound constraints through a substantial modification of the $ \Delta \phi $-r relation [87, 88].

      So far, the discussion has been based on the original field excursion, while a canonically normalized field cannot be introduced in the same way as in Sec. II.C. The model (26) is genuinely nonlinear in X, and there is, in general, no global field redefinition $ \phi \rightarrow \chi(\phi) $ that transforms the full Lagrangian into a canonical form. Therefore, we use the original field excursion $ \Delta \phi $ as a reference to analyze the Lyth bound constraint.

      To examine whether the model in Eq. (25) can indeed bypass the Lyth bound constraint while remaining consistent with ACT observations, we evaluate $ (n_s,r) $ and $ \Delta \phi $ for different model parameters, both semi-analytically under the slow-roll approximation and numerically, Tables B25−B48 of Appendix B list the semi-analytic results shown in the left panel of Fig. 2, while Tables B1−B24 list the numerical results shown in the right panel. The origin of the small difference between the semi-analytical and numerical results is the same as that discussed for Model I. The results show that ACT data, compared with Planck data, actually strengthen the Lyth bound constraint, in contrast to the case study in Sec. II.D. In particular, there exists a parameter space that fits the Planck data well while being marginally consistent with the Lyth bound, i.e., $ \Delta \phi/M_p \simeq 1 $. However, the field excursion $ \Delta \phi/M_p $ must exceed unity to be consistent with ACT observations in this model. Thus, the update from ACT measurements puts models that were originally consistent with Planck under tension.

      Figure 2.  (color online) Left panel: semi-analytic results for $ (n_s,r) $ and $ \Delta \phi $ based on Eq. (30), whose validation assumes the slow-roll approximation. Right panel: numerical results obtained by directly evolving ζ for comparison. Again, the model parameter is chosen such that $ A_s = 2.1 \times 10^{-9} $ is fixed. The semi-analytic results in the left panel are listed in Tables B25−B48 of Appendix B; the numerical results in the right panel are listed in Tables B1−B24. The color bar denotes the original field excursion $ \Delta\phi/M_p $.

      One may wonder whether an extreme choice of parameters can restore the viability of the model. To discuss this possibility, we analyze the effects of the model parameters on $ n_s $, r, and $ \Delta \phi $. First, the e-folding number N has a critical impact on the values of $ n_s $ and r: increasing N enhances $ n_s $ while keeping r almost constant, at the cost of increasing $ \Delta \phi $. When γ is of order $ 10 $, N must approach $ 80 $ to satisfy the ACT observations. However, in this case, $ \Delta \phi / M_p $ already exceeds 1.5; thus, changing N does not help substantially.

      We also find that varying n and $ V_0 $ has only a limited effect on the results. Increasing n leads to a slight change in $ n_s $, whereas increasing $ V_0 $ primarily helps satisfy the Lyth-bound constraint, with only a limited effect on the ACT constraint. The value of M has a negligible impact on the results, as shown in the left panel of Fig. 3. The sensitivity to $ N_* $ is more significant: increasing $ N_* $ can move $ n_s $ toward the ACT-preferred value, but this shift is accompanied by a larger accumulated field excursion. Thus, the conclusion is not driven by a single fiducial choice of $ N_* $.

      Figure 3.  (color online) Left panel: effects of M with the other parameters fixed. Right panel: effects of γ with the other parameters fixed. Again, λ is chosen so that $ A_s = 2.1 \times 10^{-9} $ remains fixed. data for the $n = 10 $ branch in the right panel are listed in Table B49 of Appendix B. $ \Delta \phi/M_p $.

      Given this negative result, it is natural to ask whether γ, the most important parameter in these models, can improve the robustness of the model. As discussed above, increasing γ can both suppress r and substantially change $ \Delta \phi $, so one may expect a larger γ to help evade the Lyth-bound and ACT constraints. Nonetheless, γ cannot be arbitrarily large. The effective field theory of inflation suggests $ c_s \gg 0.003 $ to avoid a strong-coupling problem [74], while observational constraints on primordial non-Gaussianities imply $ c_s \geq 0.021 $ (for the DBI inflation model, the constraint can be even more severe) [95]. In particular, the strong coupling scale of the Goldstone EFT behaves as

      $ \Lambda_{\rm sc}^{4}\simeq \frac{16 \pi^2 M_p^2|\dot H|c_s^5}{1-c_s^2}\; , $

      (32)

      up to coefficients of order unity. Combining this estimate with $ A_s=H^2/(8\pi^2M_p^2\epsilon c_s) $ yields

      $ \left(\frac{H}{\Lambda_{\rm sc}}\right)^4\simeq \frac{A_s}{2}\frac{1-c_s^2}{c_s^4}\; , $

      (33)

      Thus, $ c_s\gtrsim0.1 $ keeps $ H/\Lambda_{\rm sc}\ll1 $, whereas reducing the sound speed substantially would make the EFT interpretation less robust and enhance equilateral non-Gaussianities. Therefore, we adopt $ \gamma \lesssim 50 $ to ensure $ c_s \geq 0.1 $.

      In light of this discussion, we vary the parameter γ while keeping n, $ V_0 $, and N fixed, and present the corresponding values of $ n_s, r $, and $ \Delta \phi $ in the data for the $n = 10 $ branch in the right panel of Fig. 3 are listed in Table B49 of Appendix B. Interestingly, a lower bound on $ \Delta \phi $ that exceeds $ M_p $ emerges when γ is varied, suggesting that changing γ alone cannot circumvent the Lyth bound constraints.

      γ $ c_s $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      3 0.44721 5.5803e-08 0.964045 0.0125433 2.01119 0.0465355
      4 0.37796 2.6650e-07 0.964478 0.0123076 1.67383 0.0460962
      5 0.33333 5.4666e-07 0.965061 0.0120806 1.52043 0.0456692
      6 0.30151 7.6535e-07 0.96562 0.0118665 1.43894 0.0452627
      8 0.2582 9.0768e-07 0.966554 0.0114765 1.36443 0.0445126
      10 0.22942 8.1544e-07 0.967262 0.011131 1.33904 0.0438374
      12 0.20851 6.6119e-07 0.967806 0.0108222 1.33393 0.0432251
      16 0.17961 3.9818e-07 0.968572 0.0102909 1.34831 0.0421507
      20 0.16013 2.3905e-07 0.969078 0.00984653 1.375 0.0412306
      30 0.13019 7.8288e-08 0.969798 0.00898546 1.45193 0.0393866
      40 0.11251 3.1914e-08 0.970164 0.00834899 1.52576 0.037966
      50 0.1005 1.5262e-08 0.970375 0.0078503 1.59299 0.0368147

      Table B49.  Evolution along the γ branch for $ n=10 $, $ M=2.45\times10^{-4} $, $ V_0=4.4054\times10^{-10} $, $ N=80 $.

      The emergence of a lower bound can be explained as follows. To demonstrate this, we evaluate ${\rm d}\Delta \phi/{\rm d} \gamma$. The starting point is

      $ \frac{{\rm d}\Delta \phi}{{\rm d} \gamma} = \frac{{\rm d} \phi_{\rm end}}{{\rm d} \gamma} - \frac{{\rm d}\phi_{\ast}}{{\rm d} \gamma} \; . $

      (34)

      The right-hand side is determined by taking the total derivatives of the constraints.

      $ P_{\zeta} (\phi_{\ast},\gamma, \lambda) = A_s \; ,\; \epsilon (\phi_{\rm end} ,\gamma, \lambda) = 1 \; . $

      (35)

      Because $ N_{\ast} $ is fixed, an additional constraint must be considered.

      $ \int_{\phi_{\ast}}^{\phi_{\mathrm{end}}} \left[\frac{{\rm d}\phi}{{\rm d}N} (\gamma,\lambda)\right]^{-1} {\rm d} \phi=N_{\ast} \; . $

      (36)

      Substituting these expressions into Eq. (34), we obtain

      $ \begin{split} \frac{{\rm d}\Delta \phi}{{\rm d}\gamma}= & \; D_\gamma+ C_\lambda \frac{{\rm d}\lambda}{{\rm d}\gamma} , \quad D_\gamma = -\frac{\partial_\gamma \epsilon}{\partial_{\phi_{\rm end}} \epsilon}+\frac{\partial_\gamma P_s}{\partial_{\phi_{\ast}} P_s} \; , \\& C_\lambda=-\frac{\partial_\lambda \epsilon}{\partial_{\phi_{\rm end}} \epsilon}+\frac{\partial_\lambda P_s}{\partial_{\phi_{\ast}} P_s} \; . \end{split} $

      (37)

      Note that $ P_s $ and $ \epsilon $ are implicit functions defined by Eq. (35). Because a complete analytical treatment is intractable, we proceed with a numerical evaluation. We list the values of ${\rm d}\lambda /{\rm d}\gamma$, $ D_{\gamma} $, and $ C_{\lambda} $ in Table 2. For this parameter choice, $ D_{\gamma} $ increases from negative values toward 0 as γ increases. In contrast, $C_\lambda \frac{{\rm d}\lambda}{{\rm d}\gamma}$ eventually becomes positive as γ increases. This behavior leads to a sign reversal in ${\rm d}\Delta \phi/{\rm d}\gamma$ and, consequently, to a local minimum in $ \Delta \phi $ as γ is varied.

      γ ${\rm d}\lambda/{\rm d}\gamma$ $ D_\gamma $ $C_\lambda {\rm d}\lambda/{\rm d}\gamma$ $\frac{{\rm d}\Delta\phi}{{\rm d}\gamma}$
      1.5 $ +1.5802\times 10^{-10} $ $ -0.2733 $ $ -5.8120 $ $ -6.0853 $
      6 $ +1.6722\times 10^{-7} $ $ -0.0324 $ $ -0.0280 $ $ -0.0605 $
      8 $ -6.5174\times 10^{-9} $ $ -0.0220 $ $ +0.00087 $ $ -0.0211 $
      12 $ -7.7776\times 10^{-8} $ $ -0.0135 $ $ +0.01393 $ $ +0.00042 $
      50 $ -1.0290\times 10^{-9} $ $ -0.00332 $ $ +0.00972 $ $ +0.00640 $

      Table 2.  Evolution of $ \Delta\phi $ along the γ branch.

      In this regard, the model may have difficulty simultaneously evading the Lyth-bound constraint and fitting the ACT observations by adjusting its parameters. We therefore reiterate that the joint consideration of the Lyth bound and ACT results can effectively constrain inflationary scenarios, placing models that are compatible with either constraint alone in tension.

    IV.   CONCLUSION
    • We have investigated how the most recent ACT observations shed new light on the physics of the Lyth bound. Although some inflationary models may remain viable under the original Lyth bound, the inclusion of a red tilt can strengthen the constraint and place such models in tension with observations. This is explicitly demonstrated by the kinetic-inflaton coupling model, which was designed to evade the Lyth-bound constraint: the Lyth bound motivates the construction of such a model, while the inclusion of the red tilt suggests that its predictions for $ (n_s,r) $ are incompatible with the ACT observations. We also investigated models with a modified kinetic term and found that they can satisfy the joint Planck 2018 and Lyth-bound constraints, but fail when the Planck 2018 data are replaced by the ACT data.

      Given the abundance of inflationary models in the literature, an exhaustive investigation of all existing scenarios is not possible. The purpose of this manuscript is to highlight the power of jointly applying the theoretical Lyth-bound constraint and the most up-to-date CMB observations. We have already found this method to be powerful, and extending the formalism to other models in future work will be promising.

    ACKNOWLEDGMENTS
    • We thank Yizhi Liang, Guohe Li and Jingming Pu for useful discussions and insightful suggestions.

    APPENDIX A: DATA FOR FIGURE 1
    • This section summarizes the data underlying Fig. 1. We assume $ \alpha=30 $ throughout. We present both the numerical results and the semi-analytical results obtained using the slow-roll approximation.

      $ \tilde{\alpha} $ β $ n_s $ r $ \Delta\phi/M_{\rm Pl} $
      0.005 0.0019965 0.959698 0.158314 0.17575
      0.010167 ${9.8189\times10^{-4}}$ 0.9599148 0.158631 0.175813
      0.015333 ${6.5103\times10^{-4}}$ 0.9596259 0.159161 0.17592
      0.0205 ${4.8700\times10^{-4}}$ 0.9598288 0.159903 0.176071
      0.025667 ${3.8898\times10^{-4}}$ 0.9595938 0.160862 0.176265
      0.030833 ${3.2379\times10^{-4}}$ 0.9595782 0.162039 0.176504
      0.036 ${2.7730\times10^{-4}}$ 0.9596289 0.163435 0.176786
      0.041167 ${2.4250\times10^{-4}}$ 0.9597029 0.165073 0.177114
      0.046333 ${2.1544\times10^{-4}}$ 0.9597265 0.16693 0.177487
      0.0515 ${1.9380\times10^{-4}}$ 0.9597131 0.169029 0.177905
      0.056667 ${1.7608\times10^{-4}}$ 0.9596786 0.171356 0.17837
      0.061833 ${1.6132\times10^{-4}}$ 0.9596713 0.173928 0.178881
      0.067 ${1.4882\times10^{-4}}$ 0.9595635 0.176782 0.17944
      0.072167 ${1.3809\times10^{-4}}$ 0.9594178 0.179896 0.180048
      0.077333 ${1.2876\times10^{-4}}$ 0.959257 0.183246 0.180704
      0.0825 ${1.2058\times10^{-4}}$ 0.9592558 0.186892 0.18141
      0.087667 ${1.1335\times10^{-4}}$ 0.959105 0.190826 0.182167
      0.092833 ${1.0689\times10^{-4}}$ 0.958918 0.195046 0.182976
      0.098 ${1.0110\times10^{-4}}$ 0.9588355 0.199598 0.183838
      0.10317 ${9.5838\times10^{-5}}$ 0.9586091 0.204426 0.184753
      0.10833 ${9.1063\times10^{-5}}$ 0.9584491 0.209603 0.185724
      0.1135 ${8.6680\times10^{-5}}$ 0.9580546 0.215102 0.186751
      0.11867 ${8.2650\times10^{-5}}$ 0.9578893 0.220986 0.187835
      0.12383 ${7.8930\times10^{-5}}$ 0.9575895 0.227207 0.188977
      0.129 ${7.5462\times10^{-5}}$ 0.9571911 0.233789 0.19018
      0.13417 ${7.2232\times10^{-5}}$ 0.9568141 0.240767 0.191444
      0.13933 ${6.9187\times10^{-5}}$ 0.9563682 0.24808 0.192771
      0.1445 ${6.6338\times10^{-5}}$ 0.9558637 0.255919 0.194161
      0.14967 ${6.3641\times10^{-5}}$ 0.9553566 0.264091 0.195618
      0.15483 ${6.1077\times10^{-5}}$ 0.9546162 0.272711 0.197141
      0.16 ${5.8644\times10^{-5}}$ 0.9541134 0.281792 0.198733

      Table A1.  Numerical, $ N_*=50 $.

      $ \tilde{\alpha} $ β $ n_s $ r $ \Delta\phi/M_{\rm Pl} $
      0.005 0.0016643 0.966458 0.132254 0.181873
      0.010167 ${8.1847\times10^{-4}}$ 0.9664713 0.132573 0.18195
      0.015333 ${5.4274\times10^{-4}}$ 0.9664267 0.133096 0.182079
      0.0205 ${4.0596\times10^{-4}}$ 0.9666084 0.133848 0.18226
      0.025667 ${3.2426\times10^{-4}}$ 0.9666834 0.134819 0.182494
      0.030833 ${2.6991\times10^{-4}}$ 0.9665007 0.135997 0.182782
      0.036 ${2.3116\times10^{-4}}$ 0.9662986 0.137408 0.183123
      0.041167 ${2.0212\times10^{-4}}$ 0.9663092 0.139043 0.183519
      0.046333 ${1.7957\times10^{-4}}$ 0.9663729 0.140906 0.183969
      0.0515 ${1.6150\times10^{-4}}$ 0.9662816 0.143014 0.184476
      0.056667 ${1.4672\times10^{-4}}$ 0.9662958 0.145379 0.185038
      0.061833 ${1.3439\times10^{-4}}$ 0.9661421 0.148004 0.185658
      0.067 ${1.2395\times10^{-4}}$ 0.9662681 0.150867 0.186336
      0.072167 ${1.1498\times10^{-4}}$ 0.9660236 0.154034 0.187073
      0.077333 ${1.0716\times10^{-4}}$ 0.9659099 0.157437 0.187871
      0.0825 ${1.0032\times10^{-4}}$ 0.9658698 0.161158 0.18873
      0.087667 ${9.4245\times10^{-5}}$ 0.9658656 0.165198 0.189653
      0.092833 ${8.8815\times10^{-5}}$ 0.9654391 0.169543 0.19064
      0.098 ${8.3916\times10^{-5}}$ 0.9655947 0.174162 0.191692
      0.10317 ${7.9492\times10^{-5}}$ 0.9651278 0.17915 0.192812
      0.10833 ${7.5437\times10^{-5}}$ 0.9649093 0.184487 0.194001
      0.1135 ${7.1724\times10^{-5}}$ 0.9647045 0.190187 0.195261
      0.11867 ${6.8296\times10^{-5}}$ 0.9643911 0.196231 0.196592
      0.12383 ${6.5100\times10^{-5}}$ 0.9639767 0.20268 0.197998
      0.129 ${6.2126\times10^{-5}}$ 0.9635234 0.209528 0.19948
      0.13417 ${5.9341\times10^{-5}}$ 0.9631319 0.216798 0.201039
      0.13933 ${5.6712\times10^{-5}}$ 0.9624911 0.224482 0.202678
      0.1445 ${5.4230\times10^{-5}}$ 0.9618636 0.232587 0.204399
      0.14967 ${5.1878\times10^{-5}}$ 0.9612638 0.241177 0.206204
      0.15483 ${4.9636\times10^{-5}}$ 0.9606458 0.250237 0.208094
      0.16 ${4.7490\times10^{-5}}$ 0.9597546 0.259751 0.210072

      Table A2.  Numerical, $ N_*=60 $.

      $ \tilde{\alpha} $ β $ n_s $ r $ \Delta\phi/M_{\rm Pl} $
      0.005 0.0014269 0.9712366 0.113558 0.187047
      0.010167 ${7.0175\times10^{-4}}$ 0.97132 0.11387 0.187137
      0.015333 ${4.6533\times10^{-4}}$ 0.971561 0.114407 0.187288
      0.0205 ${3.4803\times10^{-4}}$ 0.9711759 0.115136 0.187501
      0.025667 ${2.7798\times10^{-4}}$ 0.97098 0.116122 0.187775
      0.030833 ${2.3139\times10^{-4}}$ 0.971168 0.117301 0.188112
      0.036 ${1.9815\times10^{-4}}$ 0.9711718 0.118704 0.188512
      0.041167 ${1.7325\times10^{-4}}$ 0.9713509 0.120346 0.188976
      0.046333 ${1.5390\times10^{-4}}$ 0.971361 0.122229 0.189505
      0.0515 ${1.3840\times10^{-4}}$ 0.9712575 0.124375 0.190099
      0.056667 ${1.2571\times10^{-4}}$ 0.9710993 0.12674 0.190761
      0.061833 ${1.1513\times10^{-4}}$ 0.9711663 0.129395 0.19149
      0.067 ${1.0614\times10^{-4}}$ 0.9709109 0.132295 0.192289
      0.072167 ${9.8424\times10^{-5}}$ 0.9708832 0.135527 0.193158
      0.077333 ${9.1700\times10^{-5}}$ 0.9707583 0.139003 0.1941
      0.0825 ${8.5788\times10^{-5}}$ 0.9708764 0.142781 0.195115
      0.087667 ${8.0537\times10^{-5}}$ 0.9705913 0.146879 0.196207
      0.092833 ${7.5844\times10^{-5}}$ 0.9703754 0.151318 0.197376
      0.098 ${7.1585\times10^{-5}}$ 0.9702152 0.156076 0.198624
      0.10317 ${6.7737\times10^{-5}}$ 0.9700848 0.16119 0.199954
      0.10833 ${6.4201\times10^{-5}}$ 0.9694605 0.166674 0.201368
      0.1135 ${6.0945\times10^{-5}}$ 0.9694781 0.172533 0.202868
      0.11867 ${5.7933\times10^{-5}}$ 0.9688073 0.178806 0.204455
      0.12383 ${5.5113\times10^{-5}}$ 0.9684896 0.185478 0.206134
      0.129 ${5.2486\times10^{-5}}$ 0.9678934 0.192606 0.207905
      0.13417 ${5.0008\times10^{-5}}$ 0.967451 0.200127 0.209772
      0.13933 ${4.7665\times10^{-5}}$ 0.9667222 0.208133 0.211737
      0.1445 ${4.5442\times10^{-5}}$ 0.9660383 0.216584 0.213802
      0.14967 ${4.3328\times10^{-5}}$ 0.9652358 0.225555 0.215971
      0.15483 ${4.1301\times10^{-5}}$ 0.9645316 0.234955 0.218245
      0.16 ${3.9358\times10^{-5}}$ 0.9638125 0.244923 0.220627

      Table A3.  Numerical, $ N_*=70 $.

      $ \tilde{\alpha} $ β $ n_s $ r $ \Delta\phi/M_{\rm Pl} $
      0.005 0.0012486 0.9749345 0.0994967 0.191528
      0.010167 ${6.1406\times10^{-4}}$ 0.9748769 0.0997936 0.191631
      0.015333 ${4.0720\times10^{-4}}$ 0.9751382 0.10032 0.191804
      0.0205 ${3.0452\times10^{-4}}$ 0.9750585 0.101067 0.192047
      0.025667 ${2.4324\times10^{-4}}$ 0.9748235 0.102031 0.192362
      0.030833 ${2.0246\times10^{-4}}$ 0.9748628 0.10322 0.192749
      0.036 ${1.7338\times10^{-4}}$ 0.9749764 0.104653 0.193208
      0.041167 ${1.5157\times10^{-4}}$ 0.9747369 0.106292 0.193741
      0.046333 ${1.3462\times10^{-4}}$ 0.9749534 0.108193 0.194348
      0.0515 ${1.2107\times10^{-4}}$ 0.9747322 0.110342 0.195032
      0.056667 ${1.0994\times10^{-4}}$ 0.9747838 0.112742 0.195793
      0.061833 ${1.0065\times10^{-4}}$ 0.9746783 0.115428 0.196633
      0.067 ${9.2773\times10^{-5}}$ 0.9750695 0.118377 0.197553
      0.072167 ${8.5981\times10^{-5}}$ 0.9747734 0.121631 0.198557
      0.077333 ${8.0068\times10^{-5}}$ 0.974352 0.125179 0.199645
      0.0825 ${7.4854\times10^{-5}}$ 0.9742133 0.129012 0.200819
      0.087667 ${7.0219\times10^{-5}}$ 0.9742017 0.133213 0.202083
      0.092833 ${6.6064\times10^{-5}}$ 0.9737456 0.137734 0.203438
      0.098 ${6.2290\times10^{-5}}$ 0.9735899 0.14261 0.204888
      0.10317 ${5.8862\times10^{-5}}$ 0.9732477 0.147859 0.206433
      0.10833 ${5.5711\times10^{-5}}$ 0.9729101 0.1535 0.208078
      0.1135 ${5.2797\times10^{-5}}$ 0.9726439 0.159568 0.209826
      0.11867 ${5.0083\times10^{-5}}$ 0.9721857 0.166022 0.211678
      0.12383 ${4.7549\times10^{-5}}$ 0.9717663 0.172896 0.213638
      0.129 ${4.5164\times10^{-5}}$ 0.9709781 0.18026 0.21571
      0.13417 ${4.2913\times10^{-5}}$ 0.97054 0.188052 0.217895
      0.13933 ${4.0774\times10^{-5}}$ 0.9697969 0.196347 0.220198
      0.1445 ${3.8737\times10^{-5}}$ 0.9691955 0.205089 0.222622
      0.14967 ${3.6791\times10^{-5}}$ 0.9683853 0.21437 0.225169
      0.15483 ${3.4926\times10^{-5}}$ 0.9670413 0.224148 0.227842
      0.16 ${3.3139\times10^{-5}}$ 0.9662573 0.234529 0.230645

      Table A4.  Numerical, $ N_*=80 $.

      $ \tilde{\alpha} $ β $ n_s $ r $ \Delta\phi/M_{\rm Pl} $
      0.005 0.0019753 0.9603924 0.158532 0.153928
      0.010167 ${9.7147\times10^{-4}}$ 0.9603924 0.158846 0.153993
      0.015333 ${6.4412\times10^{-4}}$ 0.960392 0.159374 0.154102
      0.0205 ${4.8178\times10^{-4}}$ 0.960391 0.160119 0.154255
      0.025667 ${3.8478\times10^{-4}}$ 0.9603889 0.161081 0.154452
      0.030833 ${3.2029\times10^{-4}}$ 0.9603849 0.162265 0.154695
      0.036 ${2.7430\times10^{-4}}$ 0.9603784 0.163672 0.154983
      0.041167 ${2.3984\times10^{-4}}$ 0.9603685 0.165307 0.155316
      0.046333 ${2.1306\times10^{-4}}$ 0.9603539 0.167173 0.155695
      0.0515 ${1.9163\times10^{-4}}$ 0.9603335 0.169276 0.15612
      0.056667 ${1.7410\times10^{-4}}$ 0.960306 0.171622 0.156593
      0.061833 ${1.5948\times10^{-4}}$ 0.9602699 0.174215 0.157113
      0.067 ${1.4710\times10^{-4}}$ 0.9602235 0.177064 0.157682
      0.072167 ${1.3646\times10^{-4}}$ 0.960165 0.180174 0.1583
      0.077333 ${1.2723\times10^{-4}}$ 0.9600925 0.183553 0.158968
      0.0825 ${1.1913\times10^{-4}}$ 0.960004 0.18721 0.159686
      0.087667 ${1.1195\times10^{-4}}$ 0.9598974 0.191153 0.160457
      0.092833 ${1.0555\times10^{-4}}$ 0.9597702 0.195392 0.16128
      0.098 ${9.9798\times10^{-5}}$ 0.9596202 0.199936 0.162157
      0.10317 ${9.4589\times10^{-5}}$ 0.9594447 0.204796 0.163088
      0.10833 ${8.9845\times10^{-5}}$ 0.9592412 0.209981 0.164076
      0.1135 ${8.5500\times10^{-5}}$ 0.9590068 0.215502 0.165121
      0.11867 ${8.1499\times10^{-5}}$ 0.9587389 0.221372 0.166224
      0.12383 ${7.7796\times10^{-5}}$ 0.9584344 0.227602 0.167387
      0.129 ${7.4352\times10^{-5}}$ 0.9580905 0.234203 0.168611
      0.13417 ${7.1136\times10^{-5}}$ 0.9577041 0.241187 0.169897
      0.13933 ${6.8120\times10^{-5}}$ 0.9572721 0.248567 0.171247
      0.1445 ${6.5280\times10^{-5}}$ 0.9567915 0.256356 0.172663
      0.14967 ${6.2596\times10^{-5}}$ 0.9562592 0.264564 0.174145
      0.15483 ${6.0050\times10^{-5}}$ 0.9556721 0.273206 0.175696
      0.16 ${5.7627\times10^{-5}}$ 0.9550271 0.282292 0.177316

      Table A5.  Semi-analytic, $ N_*=50 $.

      $ \tilde{\alpha} $ β $ n_s $ r $ \Delta\phi/M_{\rm Pl} $
      0.005 0.0016488 0.9669395 0.132343 0.159955
      0.010167 ${8.1088\times10^{-4}}$ 0.9669394 0.132657 0.160033
      0.015333 ${5.3765\times10^{-4}}$ 0.966939 0.133186 0.160164
      0.0205 ${4.0213\times10^{-4}}$ 0.9669378 0.133931 0.160348
      0.025667 ${3.2117\times10^{-4}}$ 0.9669352 0.134895 0.160586
      0.030833 ${2.6733\times10^{-4}}$ 0.9669305 0.136082 0.160878
      0.036 ${2.2894\times10^{-4}}$ 0.9669227 0.137494 0.161224
      0.041167 ${2.0017\times10^{-4}}$ 0.9669107 0.139137 0.161625
      0.046333 ${1.7780\times10^{-4}}$ 0.9668932 0.141015 0.162083
      0.0515 ${1.5990\times10^{-4}}$ 0.9668688 0.143135 0.162596
      0.056667 ${1.4525\times10^{-4}}$ 0.9668359 0.145502 0.163167
      0.061833 ${1.3303\times10^{-4}}$ 0.9667925 0.148124 0.163796
      0.067 ${1.2267\times10^{-4}}$ 0.9667369 0.151009 0.164484
      0.072167 ${1.1376\times10^{-4}}$ 0.9666669 0.154165 0.165233
      0.077333 ${1.0602\times10^{-4}}$ 0.9665801 0.157602 0.166042
      0.0825 ${9.9223\times10^{-5}}$ 0.9664743 0.161329 0.166915
      0.087667 ${9.3194\times10^{-5}}$ 0.9663467 0.165356 0.167851
      0.092833 ${8.7805\times10^{-5}}$ 0.9661947 0.169694 0.168853
      0.098 ${8.2949\times10^{-5}}$ 0.9660154 0.174355 0.169921
      0.10317 ${7.8544\times10^{-5}}$ 0.9658059 0.17935 0.171058
      0.10833 ${7.4521\times10^{-5}}$ 0.9655632 0.184692 0.172265
      0.1135 ${7.0826\times10^{-5}}$ 0.9652839 0.190394 0.173544
      0.11867 ${6.7412\times10^{-5}}$ 0.964965 0.196468 0.174896
      0.12383 ${6.4242\times10^{-5}}$ 0.964603 0.202927 0.176323
      0.129 ${6.1283\times10^{-5}}$ 0.9641946 0.209786 0.177828
      0.13417 ${5.8509\times10^{-5}}$ 0.9637366 0.217057 0.179411
      0.13933 ${5.5896\times10^{-5}}$ 0.9632254 0.224754 0.181076
      0.1445 ${5.3425\times10^{-5}}$ 0.9626577 0.23289 0.182823
      0.14967 ${5.1080\times10^{-5}}$ 0.9620303 0.24148 0.184655
      0.15483 ${4.8846\times10^{-5}}$ 0.9613399 0.250534 0.186574
      0.16 ${4.6711\times10^{-5}}$ 0.9605833 0.260067 0.188583

      Table A6.  Semi-analytic, $ N_*=60 $.

      $ \tilde{\alpha} $ β $ n_s $ r $ \Delta\phi/M_{\rm Pl} $
      0.005 0.0014149 0.9716292 0.113584 0.165059
      0.010167 ${6.9585\times10^{-4}}$ 0.9716291 0.113898 0.165149
      0.015333 ${4.6138\times10^{-4}}$ 0.9716286 0.114427 0.165302
      0.0205 ${3.4509\times10^{-4}}$ 0.9716272 0.115173 0.165518
      0.025667 ${2.7561\times10^{-4}}$ 0.9716241 0.116139 0.165796
      0.030833 ${2.2940\times10^{-4}}$ 0.9716186 0.117329 0.166137
      0.036 ${1.9645\times10^{-4}}$ 0.9716095 0.118747 0.166542
      0.041167 ${1.7175\times10^{-4}}$ 0.9715956 0.120397 0.167012
      0.046333 ${1.5254\times10^{-4}}$ 0.9715752 0.122287 0.167548
      0.0515 ${1.3717\times10^{-4}}$ 0.9715468 0.124423 0.16815
      0.056667 ${1.2458\times10^{-4}}$ 0.9715083 0.126812 0.16882
      0.061833 ${1.1407\times10^{-4}}$ 0.9714579 0.129463 0.169559
      0.067 ${1.0515\times10^{-4}}$ 0.9713931 0.132384 0.170368
      0.072167 ${9.7481\times10^{-5}}$ 0.9713115 0.135587 0.171249
      0.077333 ${9.0806\times10^{-5}}$ 0.9712105 0.13908 0.172203
      0.0825 ${8.4934\times10^{-5}}$ 0.9710874 0.142876 0.173232
      0.087667 ${7.9718\times10^{-5}}$ 0.970939 0.146986 0.174338
      0.092833 ${7.5046\times10^{-5}}$ 0.9707624 0.151423 0.175523
      0.098 ${7.0827\times10^{-5}}$ 0.9705542 0.1562 0.176788
      0.10317 ${6.6990\times10^{-5}}$ 0.9703111 0.161329 0.178136
      0.10833 ${6.3476\times10^{-5}}$ 0.9700297 0.166826 0.179569
      0.1135 ${6.0238\times10^{-5}}$ 0.9697064 0.172704 0.181089
      0.11867 ${5.7236\times10^{-5}}$ 0.9693375 0.178977 0.182698
      0.12383 ${5.4438\times10^{-5}}$ 0.9689195 0.185661 0.184399
      0.129 ${5.1817\times10^{-5}}$ 0.9684487 0.192769 0.186195
      0.13417 ${4.9349\times10^{-5}}$ 0.9679215 0.200317 0.188087
      0.13933 ${4.7016\times10^{-5}}$ 0.9673343 0.208318 0.190078
      0.1445 ${4.4801\times10^{-5}}$ 0.9666837 0.216787 0.192171
      0.14967 ${4.2690\times10^{-5}}$ 0.9659662 0.225736 0.194369
      0.15483 ${4.0673\times10^{-5}}$ 0.9651788 0.235178 0.196674
      0.16 ${3.8738\times10^{-5}}$ 0.9643184 0.245127 0.199088

      Table A7.  Semi-analytic, $ N_*=70 $.

      $ \tilde{\alpha} $ β $ n_s $ r $ \Delta\phi/M_{\rm Pl} $
      0.005 0.0012391 0.9751537 0.0994859 0.169485
      0.010167 ${6.0941\times10^{-4}}$ 0.9751536 0.0997999 0.169589
      0.015333 ${4.0406\times10^{-4}}$ 0.975153 0.100329 0.169764
      0.0205 ${3.0221\times10^{-4}}$ 0.9751514 0.101076 0.17001
      0.025667 ${2.4136\times10^{-4}}$ 0.9751479 0.102044 0.170328
      0.030833 ${2.0089\times10^{-4}}$ 0.9751416 0.103237 0.170719
      0.036 ${1.7202\times10^{-4}}$ 0.9751312 0.10466 0.171184
      0.041167 ${1.5038\times10^{-4}}$ 0.9751153 0.106318 0.171723
      0.046333 ${1.3355\times10^{-4}}$ 0.975092 0.10822 0.172337
      0.0515 ${1.2008\times10^{-4}}$ 0.9750595 0.110372 0.173029
      0.056667 ${1.0903\times10^{-4}}$ 0.9750157 0.112782 0.173799
      0.061833 ${9.9804\times10^{-5}}$ 0.9749581 0.115462 0.174649
      0.067 ${9.1971\times10^{-5}}$ 0.9748841 0.11842 0.17558
      0.072167 ${8.5226\times10^{-5}}$ 0.9747911 0.121668 0.176596
      0.077333 ${7.9347\times10^{-5}}$ 0.974676 0.125218 0.177697
      0.0825 ${7.4167\times10^{-5}}$ 0.9745356 0.129083 0.178885
      0.087667 ${6.9557\times10^{-5}}$ 0.9743666 0.133276 0.180164
      0.092833 ${6.5419\times10^{-5}}$ 0.9741656 0.13781 0.181536
      0.098 ${6.1673\times10^{-5}}$ 0.9739288 0.142701 0.183002
      0.10317 ${5.8256\times10^{-5}}$ 0.9736526 0.147963 0.184567
      0.10833 ${5.5117\times10^{-5}}$ 0.9733332 0.153612 0.186232
      0.1135 ${5.2215\times10^{-5}}$ 0.9729667 0.159662 0.188
      0.11867 ${4.9516\times10^{-5}}$ 0.9725492 0.16613 0.189875
      0.12383 ${4.6990\times10^{-5}}$ 0.9720768 0.173032 0.191859
      0.129 ${4.4616\times10^{-5}}$ 0.9715457 0.180381 0.193956
      0.13417 ${4.2372\times10^{-5}}$ 0.9709522 0.188194 0.196168
      0.13933 ${4.0243\times10^{-5}}$ 0.9702926 0.196485 0.198499
      0.1445 ${3.8215\times10^{-5}}$ 0.9695634 0.205267 0.200952
      0.14967 ${3.6277\times10^{-5}}$ 0.9687615 0.214554 0.203529
      0.15483 ${3.4418\times10^{-5}}$ 0.9678839 0.224358 0.206235
      0.16 ${3.2633\times10^{-5}}$ 0.9669277 0.234689 0.209072

      Table A8.  Semi-analytic, $ N_*=80 $.

    APPENDIX B: DATA FOR THE MODIFIED KINETIC TERM MODEL
    • We list the points used to plot Fig. 2 for the modified kinetic-term model, with $ M \simeq 2.4\times10^{-4} $ fixed. We present both the numerical results and the semi-analytical results obtained using the slow-roll approximation. The first column gives $ V_0/10^{-10} $.

      Numerical points

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      3 0.021058 0.931357 0.00885 0.86008 0.039266
      4.4054 0.022844 0.939657 0.012296 0.78524 0.046366
      6.4693 0.019655 0.945116 0.016545 0.7318 0.053901
      9.5 0.013541 0.948814 0.021338 0.69741 0.061366

      Table B1.  $ \gamma=10 $, $ n=8 $, $ N=50 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      3 0.0029811 0.946125 0.0086741 1.0745 0.038866
      4.4054 0.0028968 0.951631 0.011898 0.99107 0.045594
      6.4693 0.0022291 0.955733 0.015724 0.93438 0.052517
      9.5 0.0013993 0.958068 0.019852 0.90065 0.059134

      Table B2.  $ \gamma=10 $, $ n=8 $, $ N=60 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      3 5.4643e-04 0.955908 0.0084912 1.3017 0.038447
      4.4054 4.8253e-04 0.96018 0.011498 1.2118 0.044807
      6.4693 3.3948e-04 0.963017 0.014941 1.1539 0.051166
      9.5 1.9931e-04 0.964599 0.018516 1.1223 0.057064

      Table B3.  $ \gamma=10 $, $ n=8 $, $ N=70 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      3 1.2157e-04 0.962842 0.008304 1.5414 0.038016
      4.4054 9.8823e-05 0.966155 0.011103 1.4471 0.044019
      6.4693 6.4710e-05 0.968161 0.014204 1.3897 0.049867
      9.5 3.6206e-05 0.96934 0.017323 1.3613 0.055157

      Table B4.  $ \gamma=10 $, $ n=8 $, $ N=80 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      3 8.8905e-04 0.934014 0.0088094 0.84912 0.039174
      4.4054 9.1425e-04 0.941325 0.012216 0.77667 0.046213
      6.4693 7.0744e-04 0.94595 0.016402 0.72503 0.053664
      9.5 4.1845e-04 0.949302 0.021113 0.69187 0.061033

      Table B5.  $ \gamma=10 $, $ n=10 $, $ N=50 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      3 7.4569e-05 0.947793 0.0086269 1.0613 0.038758
      4.4054 6.6943e-05 0.952748 0.011808 0.98063 0.045419
      6.4693 4.5223e-05 0.956414 0.015572 0.92599 0.052258
      9.5 2.3939e-05 0.958596 0.019627 0.89353 0.058791

      Table B6.  $ \gamma=10 $, $ n=10 $, $ N=60 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      3 8.6873e-06 0.957014 0.008438 1.2861 0.038325
      4.4054 6.9357e-06 0.960904 0.011401 1.1994 0.044616
      6.4693 4.2054e-06 0.963614 0.014785 1.1437 0.050895
      9.5 2.0568e-06 0.964989 0.018297 1.1134 0.056719

      Table B7.  $ \gamma=10 $, $ n=10 $, $ N=70 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      3 1.2949e-06 0.963727 0.0082458 1.5235 0.037881
      4.4054 9.3463e-07 0.966678 0.011001 1.4327 0.043814
      6.4693 5.2008e-07 0.968495 0.014048 1.3775 0.049587
      9.5 2.4039e-07 0.969618 0.017113 1.3504 0.054816

      Table B8.  $ \gamma=10 $, $ n=10 $, $ N=80 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      3 2.5050e-05 0.934897 0.0087823 0.8422 0.039113
      4.4054 2.4429e-05 0.941484 0.012164 0.77123 0.046111
      6.4693 1.7004e-05 0.946355 0.016308 0.72073 0.053507
      9.5 8.6395e-06 0.949571 0.020965 0.68833 0.060815

      Table B9.  $ \gamma=10 $, $ n=12 $, $ N=50 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      3 1.2448e-06 0.948747 0.0085953 1.0529 0.038687
      4.4054 1.0328e-06 0.953546 0.011749 0.974 0.045304
      6.4693 6.1281e-07 0.956873 0.015473 0.92062 0.052088
      9.5 2.7370e-07 0.958941 0.019481 0.88895 0.058566

      Table B10.  $ \gamma=10 $, $ n=12 $, $ N=60 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      3 9.2173e-08 0.957822 0.0084027 1.2763 0.038244
      4.4054 6.6566e-08 0.961552 0.011337 1.1916 0.044489
      6.4693 3.4807e-08 0.963913 0.014683 1.1372 0.050716
      9.5 1.4186e-08 0.965165 0.018155 1.1076 0.056494

      Table B11.  $ \gamma=10 $, $ n=12 $, $ N=70 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      3 9.2072e-09 0.9643 0.0082073 1.5121 0.037791
      4.4054 5.9035e-09 0.967135 0.010934 1.4235 0.043679
      6.4693 2.7932e-09 0.968944 0.013945 1.3697 0.049404
      9.5 1.0669e-09 0.969715 0.016976 1.3434 0.054592

      Table B12.  $ \gamma=10 $, $ n=12 $, $ N=80 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      4.4054 0.022031 0.941187 0.012081 0.77398 0.046002
      6.4693 0.018215 0.946138 0.016098 0.72329 0.053229
      9.5 0.012089 0.949198 0.020514 0.69164 0.060249

      Table B13.  $ \gamma=12 $, $ n=8 $, $ N=50 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      4.4054 0.0026752 0.952769 0.011645 0.98111 0.045145
      6.4693 0.001977 0.95638 0.015222 0.92797 0.051725
      9.5 0.0012012 0.958461 0.018981 0.89748 0.057889

      Table B14.  $ \gamma=12 $, $ n=8 $, $ N=60 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      4.4054 4.2921e-04 0.960895 0.011211 1.2043 0.04428
      6.4693 2.9049e-04 0.963483 0.014398 1.1507 0.050275
      9.5 1.6597e-04 0.964898 0.017622 1.1228 0.055726

      Table B15.  $ \gamma=12 $, $ n=8 $, $ N=70 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      4.4054 8.5089e-05 0.966759 0.010787 1.4432 0.04342
      6.4693 5.3764e-05 0.968638 0.013632 1.3907 0.048893
      9.5 2.9423e-05 0.969549 0.016424 1.3664 0.053755

      Table B16.  $ \gamma=12 $, $ n=8 $, $ N=80 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      4.4054 8.5905e-04 0.941387 0.011997 0.76592 0.045838
      6.4693 6.3342e-04 0.946882 0.015951 0.71693 0.052981
      9.5 3.5844e-04 0.949956 0.020291 0.68639 0.059912

      Table B17.  $ \gamma=12 $, $ n=10 $, $ N=50 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      4.4054 5.9614e-05 0.953875 0.011552 0.97127 0.044961
      6.4693 3.8370e-05 0.95705 0.015069 0.92001 0.051459
      9.5 1.9553e-05 0.959008 0.018762 0.89064 0.057546

      Table B18.  $ \gamma=12 $, $ n=10 $, $ N=60 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      4.4054 5.8977e-06 0.961737 0.011111 1.1926 0.044079
      6.4693 3.4157e-06 0.964046 0.014243 1.141 0.049998
      9.5 1.6188e-06 0.965173 0.017412 1.1141 0.055385

      Table B19.  $ \gamma=12 $, $ n=10 $, $ N=70 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      4.4054 7.6373e-07 0.96733 0.010683 1.4295 0.043207
      6.4693 4.0751e-07 0.968998 0.013478 1.379 0.048611
      9.5 1.8366e-07 0.969752 0.016223 1.3557 0.053419

      Table B20.  $ \gamma=12 $, $ n=10 $, $ N=80 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      4.4054 2.2365e-05 0.943329 0.011942 0.76081 0.04573
      6.4693 1.4711e-05 0.947593 0.015855 0.71288 0.052818
      9.5 7.1038e-06 0.950279 0.020146 0.68301 0.059691

      Table B21.  $ \gamma=12 $, $ n=12 $, $ N=50 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      4.4054 8.8700e-07 0.954471 0.01149 0.96501 0.044839
      6.4693 4.9751e-07 0.957372 0.014969 0.91492 0.051284
      9.5 2.1271e-07 0.959237 0.018619 0.88624 0.057321

      Table B22.  $ \gamma=12 $, $ n=12 $, $ N=60 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      4.4054 4.5786e-09 0.967677 0.010615 1.4207 0.043067
      6.4693 2.0642e-09 0.969228 0.013377 1.3715 0.048427
      9.5 7.6631e-10 0.96994 0.016093 1.3488 0.0532

      Table B24.  $ \gamma=12 $, $ n=12 $, $ N=80 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      4.4054 5.4120e-08 0.962185 0.011046 1.1851 0.043947
      6.4693 2.6836e-08 0.964363 0.014141 1.1347 0.049816
      9.5 1.0553e-08 0.965515 0.017275 1.1085 0.055162

      Table B23.  $ \gamma=12 $, $ n=12 $, $ N=70 $.

      Semi-analytic Points

      $ V_0 $λ$ n_s $r$ \Delta\phi/M_{\rm Pl} $$ H/M $
      30.019250.9327360.00895420.804190.039318
      4.40540.0204520.9403420.0124890.731960.046435
      6.46930.0171320.9460550.0168740.680020.053974
      9.50.0114440.9497990.0218450.64610.061412
      13.9510.00643930.9518380.0269490.626710.06821
      20.4860.00329370.9526590.031760.617660.074049
      30.0830.00163480.9527440.0360430.61520.078884
      44.1778.2016e-040.9524390.039740.616590.082831
      64.8734.2440e-040.9519490.0428960.620120.086057
      95.2642.2824e-040.9513880.0455870.624770.088716

      Table B25.  $ \gamma=10 $, $ n=8 $, $ N=50 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      1.3912 0.0015532 0.931666 0.0043408 1.2526 0.027332
      2.0429 0.0022738 0.939867 0.0062101 1.1137 0.032744
      3 0.0027195 0.946964 0.0087692 1.0051 0.03891
      4.4054 0.0025896 0.952599 0.012068 0.92416 0.045645
      6.4693 0.001944 0.956591 0.016001 0.86856 0.052559
      9.5 0.0011884 0.959007 0.020257 0.83461 0.059137
      13.951 6.3388e-04 0.960179 0.024444 0.81713 0.064962
      20.486 3.1773e-04 0.960532 0.028272 0.81072 0.069864
      30.083 1.5800e-04 0.960421 0.031622 0.81103 0.073887
      44.177 8.0330e-05 0.960076 0.034493 0.81517 0.07717
      64.873 4.2321e-05 0.95963 0.036942 0.82134 0.079861
      95.264 2.3196e-05 0.959151 0.039034 0.8285 0.082092

      Table B26.  $ \gamma=10 $, $ n=8 $, $ N=60 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      0.94737 2.0968e-04 0.936586 0.0029736 1.6935 0.022658
      1.3912 3.3630e-04 0.944185 0.0042944 1.4969 0.027229
      2.0429 4.5449e-04 0.950917 0.0061291 1.3393 0.032529
      3 4.9834e-04 0.956539 0.0085781 1.218 0.038483
      4.4054 4.3160e-04 0.960826 0.011648 1.1303 0.044844
      6.4693 2.9685e-04 0.963695 0.015175 1.0729 0.051185
      9.5 1.7039e-04 0.965302 0.018845 1.0402 0.05704
      13.951 8.7993e-05 0.965986 0.02234 1.0254 0.062105
      20.486 4.3761e-05 0.9661 0.025471 1.0221 0.066313
      30.083 2.1906e-05 0.965906 0.028182 1.0256 0.069753
      44.177 1.1288e-05 0.965565 0.030498 1.0328 0.072563
      64.873 6.0414e-06 0.965165 0.032473 1.0419 0.074876
      95.264 3.3643e-06 0.964752 0.034165 1.0519 0.076801

      Table B27.  $ \gamma=10 $, $ n=8 $, $ N=70 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      0.94737 5.7087e-05 0.946803 0.0029595 1.9718 0.022604
      1.3912 8.6703e-05 0.95322 0.0042596 1.7503 0.027118
      2.0429 1.0951e-04 0.958808 0.0060449 1.5749 0.032305
      3 1.1095e-04 0.96335 0.0083837 1.4426 0.038045
      4.4054 8.8532e-05 0.966677 0.011236 1.35 0.044044
      6.4693 5.6805e-05 0.968784 0.014404 1.2923 0.049868
      9.5 3.1177e-05 0.969876 0.017595 1.2619 0.055115
      13.951 1.5793e-05 0.970271 0.02056 1.2504 0.059579
      20.486 7.8444e-06 0.970257 0.023178 1.2507 0.063258
      30.083 3.9602e-06 0.97003 0.025431 1.2576 0.066261
      44.177 2.0668e-06 0.969707 0.027352 1.2682 0.068719
      64.873 1.1216e-06 0.969348 0.028993 1.2805 0.07075
      95.264 6.3307e-07 0.968987 0.030401 1.2935 0.072447

      Table B28.  $ \gamma=10 $, $ n=8 $, $ N=80 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      3 7.9674e-04 0.934977 0.0089122 0.79573 0.039226
      4.4054 7.9793e-04 0.941878 0.012406 0.72549 0.04628
      6.4693 5.9685e-04 0.947069 0.016724 0.67507 0.053734
      9.5 3.3975e-04 0.950468 0.021607 0.64215 0.061077
      13.951 1.5785e-04 0.952304 0.026622 0.62331 0.067795
      20.486 6.5702e-05 0.953019 0.03136 0.61451 0.073581
      30.083 2.6505e-05 0.953051 0.035593 0.61212 0.07839
      44.177 1.0882e-05 0.952717 0.039263 0.61352 0.082332
      64.873 4.6575e-06 0.95221 0.042408 0.61703 0.085566
      95.264 2.0963e-06 0.951638 0.045099 0.62167 0.08824

      Table B29.  $ \gamma=10 $, $ n=10 $, $ N=50 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      1.3912 3.8760e-05 0.934667 0.0043165 1.2351 0.027299
      2.0429 5.7397e-05 0.942118 0.0061864 1.1004 0.032681
      3 6.6599e-05 0.948543 0.0087204 0.99484 0.038801
      4.4054 5.8276e-05 0.953661 0.011975 0.91628 0.045469
      6.4693 3.8168e-05 0.957287 0.015843 0.86238 0.052299
      9.5 1.9553e-05 0.959476 0.020022 0.82948 0.058794
      13.951 8.5371e-06 0.960521 0.024139 0.81252 0.064556
      20.486 3.4762e-06 0.960809 0.027915 0.8063 0.069422
      30.083 1.4087e-06 0.960665 0.031233 0.80667 0.073432
      44.177 5.8895e-07 0.960302 0.034089 0.8108 0.076716
      64.873 2.5807e-07 0.959844 0.036533 0.81695 0.079418
      95.264 1.1905e-07 0.959356 0.038627 0.8241 0.081663

      Table B30.  $ \gamma=10 $, $ n=10 $, $ N=60 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      0.94737 3.2803e-06 0.939715 0.0029677 1.6683 0.022635
      1.3912 5.5055e-06 0.946529 0.0042815 1.4769 0.027188
      2.0429 7.4438e-06 0.952606 0.0061017 1.3237 0.032457
      3 7.7525e-06 0.957704 0.0085234 1.2059 0.038361
      4.4054 6.0397e-06 0.961598 0.011548 1.1209 0.044651
      6.4693 3.5608e-06 0.964203 0.015014 1.0653 0.050912
      9.5 1.6935e-06 0.965654 0.018618 1.0337 0.056695
      13.951 7.1265e-07 0.966254 0.022059 1.0194 0.061712
      20.486 2.8802e-07 0.966325 0.025151 1.0163 0.065896
      30.083 1.1787e-07 0.966109 0.027841 1.0198 0.06933
      44.177 5.0167e-08 0.965755 0.030148 1.027 0.072145
      64.873 2.2439e-08 0.965346 0.032122 1.0361 0.07447
      95.264 1.0566e-08 0.964926 0.033818 1.046 0.07641

      Table B31.  $ \gamma=10 $, $ n=10 $, $ N=70 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      0.94737 6.2922e-07 0.949296 0.0029527 1.9427 0.022578
      1.3912 9.8565e-07 0.955066 0.0042448 1.7273 0.027071
      2.0429 1.2406e-06 0.960081 0.0059978 1.556 0.032229
      3 1.1563e-06 0.96424 0.008324 1.4286 0.037909
      4.4054 8.1544e-07 0.967262 0.011131 1.339 0.043837
      6.4693 4.4246e-07 0.969173 0.014243 1.2832 0.049588
      9.5 1.9970e-07 0.970153 0.017378 1.2538 0.054774
      13.951 8.2253e-08 0.97049 0.0203 1.2428 0.0592
      20.486 3.3248e-08 0.970446 0.02289 1.2432 0.062864
      30.083 1.3768e-08 0.970204 0.025128 1.2502 0.065865
      44.177 5.9587e-09 0.96987 0.027044 1.2607 0.068331
      64.873 2.7135e-09 0.969505 0.028685 1.273 0.070374
      95.264 1.3004e-09 0.969138 0.030098 1.286 0.072086

      Table B32.  $ \gamma=10 $, $ n=10 $, $ N=80 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      3 2.2004e-05 0.936355 0.0088841 0.7904 0.039164
      4.4054 2.0779e-05 0.94283 0.012351 0.72141 0.046177
      6.4693 1.3887e-05 0.947705 0.016626 0.67192 0.053575
      9.5 6.7397e-06 0.950893 0.021453 0.63962 0.060858
      13.951 2.5863e-06 0.952605 0.026409 0.62113 0.067523
      20.486 8.7615e-07 0.953254 0.031099 0.61247 0.073275
      30.083 2.8730e-07 0.953251 0.0353 0.61012 0.078067
      44.177 9.6531e-08 0.952899 0.038952 0.61152 0.082006
      64.873 3.4170e-08 0.952382 0.04209 0.61502 0.085244
      95.264 1.2871e-08 0.951802 0.04478 0.61965 0.087927

      Table B33.  $ \gamma=10 $, $ n=12 $, $ N=50 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      1.3912 6.4068e-07 0.936534 0.004309 1.2245 0.027275
      2.0429 9.6686e-07 0.943496 0.0061704 1.0921 0.032639
      3 1.0884e-06 0.949518 0.0086879 0.98836 0.038729
      4.4054 8.7555e-07 0.954322 0.011914 0.91128 0.045353
      6.4693 5.0059e-07 0.957727 0.015739 0.85844 0.052128
      9.5 2.1499e-07 0.959775 0.01987 0.82618 0.05857
      13.951 7.6859e-08 0.960742 0.023941 0.80954 0.064291
      20.486 2.5426e-08 0.960989 0.027683 0.80345 0.069133
      30.083 8.3969e-09 0.960824 0.03098 0.80384 0.073134
      44.177 2.8868e-09 0.96045 0.033825 0.80795 0.076418
      64.873 1.0521e-09 0.959984 0.036266 0.81409 0.079127
      95.264 4.0823e-10 0.959491 0.038362 0.82127 0.081379

      Table B34.  $ \gamma=10 $, $ n=12 $, $ N=60 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      0.94737 3.4263e-08 0.941607 0.0029636 1.6525 0.02262
      1.3912 6.0151e-08 0.947958 0.0042727 1.4643 0.02716
      2.0429 8.1354e-08 0.953644 0.0060835 1.3139 0.032408
      3 8.0494e-08 0.958425 0.0084871 1.1982 0.038279
      4.4054 5.6441e-08 0.962082 0.011482 1.115 0.044524
      6.4693 2.8538e-08 0.964526 0.014908 1.0605 0.050733
      9.5 1.1250e-08 0.96588 0.018471 1.0295 0.05647
      13.951 3.8583e-09 0.966427 0.021875 1.0155 0.061455
      20.486 1.2673e-09 0.966472 0.024943 1.0125 0.065623
      30.083 4.2390e-10 0.966242 0.027619 1.016 0.069052
      44.177 1.4919e-10 0.96588 0.029919 1.0231 0.071874
      64.873 5.5762e-11 0.965465 0.031892 1.0322 0.074206
      95.264 2.2096e-11 0.96504 0.033592 1.0424 0.076135

      Table B35.  $ \gamma=10 $, $ n=12 $, $ N=70 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      0.94737 4.6299e-09 0.950808 0.002948 1.9244 0.02256
      1.3912 7.4774e-09 0.956193 0.0042349 1.7128 0.02704
      2.0429 9.1341e-09 0.960925 0.0059938 1.5456 0.032168
      3 8.0442e-09 0.964793 0.0082845 1.4198 0.037819
      4.4054 5.0165e-09 0.967631 0.011062 1.3321 0.043702
      6.4693 2.3031e-09 0.969421 0.014137 1.2774 0.049404
      9.5 8.5513e-10 0.970332 0.017237 1.2486 0.054551
      13.951 2.8642e-10 0.970633 0.020131 1.2379 0.058953
      20.486 9.4220e-11 0.97057 0.022702 1.2383 0.062606
      30.083 3.2168e-11 0.970318 0.024927 1.2449 0.065623
      44.177 1.1617e-11 0.969979 0.026836 1.255 0.068117
      64.873 4.2595e-12 0.969604 0.0285 1.2704 0.070011
      95.264 1.7380e-12 0.969234 0.029912 1.2833 0.071735

      Table B36.  $ \gamma=10 $, $ n=12 $, $ N=80 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      3 0.019089 0.934389 0.0088714 0.79046 0.039136
      4.4054 0.019586 0.941743 0.012294 0.72042 0.04607
      6.4693 0.015732 0.947094 0.016452 0.67109 0.053295
      9.5 0.01 0.950469 0.021074 0.64025 0.060251
      13.951 0.0055502 0.952183 0.025646 0.62238 0.06654
      20.486 0.0028107 0.952802 0.029896 0.61469 0.071843
      30.083 0.0013963 0.952778 0.033631 0.61298 0.076199
      44.177 7.0535e-04 0.952423 0.036835 0.61473 0.079746
      64.873 3.6841e-04 0.951919 0.039562 0.61837 0.082645
      95.264 2.0010e-04 0.951361 0.041886 0.623 0.085037

      Table B37.  $ \gamma=12 $, $ n=8 $, $ N=50 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      1.3912 0.0015601 0.933054 0.0043107 1.2353 0.02728
      2.0429 0.0022312 0.94131 0.0061674 1.098 0.032631
      3 0.0025937 0.948262 0.0086649 0.99148 0.038678
      4.4054 0.0023748 0.953636 0.01183 0.91351 0.045194
      6.4693 0.0017099 0.957306 0.015517 0.86124 0.051758
      9.5 0.0010114 0.959423 0.019403 0.83029 0.057877
      13.951 5.3000e-04 0.960377 0.023137 0.81501 0.063202
      20.486 2.6454e-04 0.960601 0.026496 0.80996 0.067635
      30.083 1.3210e-04 0.960425 0.029407 0.81098 0.071254
      44.177 6.7725e-05 0.960055 0.031892 0.81541 0.074202
      64.873 3.6030e-05 0.959605 0.034006 0.82163 0.076622
      95.264 1.9942e-05 0.959133 0.035812 0.82872 0.078631

      Table B38.  $ \gamma=12 $, $ n=8 $, $ N=60 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      0.94737 2.0556e-04 0.9378 0.0029653 1.6768 0.022626
      1.3912 3.2691e-04 0.945445 0.0042733 1.48 0.027162
      2.0429 4.3277e-04 0.952119 0.0060765 1.324 0.03239
      3 4.5898e-04 0.957574 0.0084527 1.2054 0.038201
      4.4054 3.8133e-04 0.961609 0.011373 1.1216 0.044312
      6.4693 2.5213e-04 0.964201 0.014645 1.0681 0.050283
      9.5 1.4084e-04 0.965576 0.017963 1.0388 0.055688
      13.951 7.1871e-05 0.966105 0.021058 1.0263 0.060295
      20.486 3.5733e-05 0.966132 0.023792 1.0244 0.064091
      30.083 1.7999e-05 0.965899 0.026143 1.0285 0.067182
      44.177 9.3601e-06 0.965545 0.028144 1.036 0.069707
      64.873 5.0593e-06 0.965146 0.02985 1.0451 0.071787
      95.264 2.8447e-06 0.96474 0.03131 1.0549 0.073523

      Table B39.  $ \gamma=12 $, $ n=8 $, $ N=70 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      0.94737 5.4894e-05 0.947891 0.0029495 1.9555 0.022566
      1.3912 8.2342e-05 0.954319 0.0042342 1.7341 0.027037
      2.0429 1.0142e-04 0.959822 0.0059823 1.5608 0.032138
      3 9.9022e-05 0.964188 0.0082381 1.4322 0.037713
      4.4054 7.5754e-05 0.967279 0.010929 1.3442 0.043439
      6.4693 4.6880e-05 0.969151 0.013842 1.2911 0.048885
      9.5 2.5174e-05 0.970061 0.016703 1.2643 0.0537
      13.951 1.2659e-05 0.970343 0.019314 1.2552 0.057745
      20.486 6.3035e-06 0.97027 0.021594 1.2567 0.061058
      30.083 3.2064e-06 0.970018 0.023544 1.2643 0.063756
      44.177 1.6894e-06 0.969688 0.025204 1.275 0.065965
      64.873 9.2588e-07 0.969333 0.02662 1.2873 0.067793
      95.264 5.2758e-07 0.96898 0.027836 1.3002 0.069324

      Table B40.  $ \gamma=12 $, $ n=8 $, $ N=80 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      3 7.7458e-04 0.936462 0.0088263 0.78256 0.039036
      4.4054 7.4310e-04 0.943141 0.012206 0.71443 0.045905
      6.4693 5.2838e-04 0.948006 0.016298 0.66651 0.053045
      9.5 2.8745e-04 0.951058 0.020811 0.63603 0.059941
      13.951 1.2975e-04 0.952611 0.025331 0.61915 0.066131
      20.486 5.3435e-05 0.953141 0.029521 0.61164 0.071391
      30.083 2.1607e-05 0.953071 0.033218 0.60997 0.07573
      44.177 8.9550e-06 0.952692 0.036403 0.61172 0.079277
      64.873 3.8799e-06 0.952172 0.039123 0.61535 0.082185
      95.264 1.7689e-06 0.951604 0.041449 0.61995 0.084593

      Table B41.  $ \gamma=12 $, $ n=10 $, $ N=50 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      1.3912 3.7948e-05 0.935961 0.0042986 1.2192 0.027242
      2.0429 5.5082e-05 0.943409 0.0061416 1.0855 0.032563
      3 6.1679e-05 0.949711 0.0086128 0.98189 0.038561
      4.4054 5.1446e-05 0.954596 0.011733 0.90617 0.045008
      6.4693 3.2054e-05 0.957932 0.015357 0.85546 0.051491
      9.5 1.5801e-05 0.959849 0.019173 0.82542 0.057534
      13.951 6.7624e-06 0.960695 0.022848 0.81056 0.062806
      20.486 2.7432e-06 0.960864 0.026165 0.80565 0.067211
      30.083 1.1186e-06 0.96066 0.029052 0.8067 0.070822
      44.177 4.7291e-07 0.960274 0.031526 0.81111 0.073776
      64.873 2.0987e-07 0.959813 0.033639 0.81731 0.076208
      95.264 9.8054e-08 0.959333 0.035449 0.82439 0.078231

      Table B42.  $ \gamma=12 $, $ n=10 $, $ N=60 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      0.94737 3.1470e-06 0.940783 0.0029589 1.6527 0.022602
      1.3912 5.2229e-06 0.947652 0.0042593 1.4611 0.027117
      2.0429 6.8792e-06 0.953685 0.006047 1.3092 0.032311
      3 6.8751e-06 0.958637 0.0083947 1.1941 0.03807
      4.4054 5.0934e-06 0.962305 0.01127 1.1128 0.04411
      6.4693 2.8655e-06 0.964659 0.014484 1.061 0.050006
      9.5 1.3207e-06 0.965898 0.017744 1.0326 0.055348
      13.951 5.4861e-07 0.966355 0.020793 1.0205 0.059915
      20.486 2.2193e-07 0.966347 0.023498 1.0186 0.063693
      30.083 9.1613e-08 0.966095 0.025833 1.0228 0.066783
      44.177 3.9464e-08 0.965729 0.027829 1.0302 0.069315
      64.873 1.7880e-08 0.965322 0.029535 1.0393 0.071408
      95.264 8.5250e-09 0.96491 0.031 1.0491 0.073158

      Table B43.  $ \gamma=12 $, $ n=10 $, $ N=70 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      0.94737 5.8912e-07 0.950257 0.002942 1.9277 0.022537
      1.3912 9.0807e-07 0.956046 0.0042182 1.7123 0.026986
      2.0429 1.0929e-06 0.96103 0.0059494 1.5439 0.032049
      3 9.8632e-07 0.964996 0.0081753 1.4191 0.037569
      4.4054 6.6119e-07 0.967806 0.010822 1.3339 0.043225
      6.4693 3.4383e-07 0.969503 0.013682 1.2825 0.048602
      9.5 1.5137e-07 0.970317 0.016496 1.2565 0.053366
      13.951 6.1880e-08 0.97055 0.019072 1.2477 0.057382
      20.486 2.5119e-08 0.970451 0.02133 1.2493 0.060684
      30.083 1.0508e-08 0.970186 0.02327 1.2569 0.063384
      44.177 4.6052e-09 0.969847 0.024927 1.2676 0.065602
      64.873 2.1242e-09 0.969486 0.026345 1.2799 0.067442
      95.264 1.0304e-09 0.969128 0.027566 1.2927 0.068987

      Table B44.  $ \gamma=12 $, $ n=10 $, $ N=80 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      2.0429 1.6707e-05 0.930024 0.0062176 0.86633 0.032764
      3 2.0974e-05 0.937739 0.0087962 0.77758 0.03897
      4.4054 1.8820e-05 0.94401 0.012148 0.71064 0.045795
      6.4693 1.1852e-05 0.948581 0.016197 0.66359 0.05288
      9.5 5.4593e-06 0.951443 0.020657 0.63367 0.059719
      13.951 2.0276e-06 0.952888 0.025126 0.61707 0.065863
      20.486 6.7913e-07 0.953361 0.029277 0.60966 0.071095
      30.083 2.2354e-07 0.953263 0.032949 0.60803 0.075423
      44.177 7.6008e-08 0.952868 0.036121 0.60976 0.078969
      64.873 2.7317e-08 0.952339 0.038836 0.61338 0.081884
      95.264 1.0454e-08 0.951764 0.041163 0.61797 0.084301

      Table B45.  $ \gamma=12 $, $ n=12 $, $ N=50 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      1.3912 6.1609e-07 0.93773 0.0042904 1.2091 0.027216
      2.0429 9.0736e-07 0.944696 0.0061244 1.0776 0.032517
      3 9.7890e-07 0.950608 0.0085781 0.97584 0.038484
      4.4054 7.4414e-07 0.955196 0.01167 0.90152 0.044885
      6.4693 4.0145e-07 0.958329 0.015252 0.85177 0.051315
      9.5 1.6498e-07 0.960122 0.019024 0.82229 0.05731
      13.951 5.7680e-08 0.9609 0.02266 0.80769 0.062548
      20.486 1.9017e-08 0.961035 0.02595 0.80286 0.066934
      30.083 6.3329e-09 0.960814 0.028821 0.80392 0.07054
      44.177 2.2076e-09 0.960418 0.031288 0.80831 0.073496
      64.873 8.1718e-10 0.95995 0.033399 0.81451 0.075935
      95.264 3.2250e-10 0.959465 0.035211 0.82154 0.077971

      Table B46.  $ \gamma=12 $, $ n=12 $, $ N=60 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      0.94737 3.2162e-08 0.942589 0.0029545 1.6376 0.022585
      1.3912 5.5684e-08 0.948998 0.0042498 1.4492 0.027087
      2.0429 7.2968e-08 0.954649 0.0060274 1.3 0.032258
      3 6.8741e-08 0.959297 0.0083563 1.187 0.037983
      4.4054 4.5436e-08 0.962743 0.011202 1.1072 0.043977
      6.4693 2.1762e-08 0.964951 0.014379 1.0565 0.049824
      9.5 8.2783e-09 0.966105 0.017601 1.0286 0.055125
      13.951 2.7995e-09 0.966518 0.020621 1.0167 0.059667
      20.486 9.2145e-10 0.966488 0.023306 1.0149 0.063433
      30.083 3.1156e-10 0.966223 0.025631 1.0191 0.06652
      44.177 1.1134e-10 0.96585 0.027622 1.0264 0.069061
      64.873 4.2280e-11 0.965438 0.029329 1.0354 0.071162
      95.264 1.6917e-11 0.96502 0.030802 1.0459 0.072878

      Table B47.  $ \gamma=12 $, $ n=12 $, $ N=70 $.

      $ V_0 $ λ $ n_s $ r $ \Delta\phi/M_{\rm Pl} $ $ H/M $
      0.94737 4.1521e-09 0.951755 0.0029485 1.9113 0.022516
      1.3912 6.6824e-09 0.957103 0.0042075 1.6985 0.026952
      2.0429 7.8589e-09 0.961775 0.0059275 1.5332 0.03199
      3 6.5589e-09 0.965499 0.0081338 1.4108 0.037474
      4.4054 3.8550e-09 0.968138 0.010752 1.3273 0.043085
      6.4693 1.6853e-09 0.969728 0.013578 1.2769 0.048418
      9.5 6.0845e-10 0.970483 0.016361 1.2515 0.053148
      13.951 2.0224e-10 0.970685 0.018914 1.2429 0.057144
      20.486 6.6843e-11 0.97057 0.021159 1.2446 0.060436
      30.083 2.3159e-11 0.970296 0.023088 1.2517 0.063158
      44.177 8.6030e-12 0.969955 0.024734 1.2609 0.065448
      64.873 3.1540e-12 0.969582 0.02618 1.2775 0.067092

      Table B48.  $ \gamma=12 $, $ n=12 $, $ N=80 $.

Reference (95)

目录

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return