Polarization Formalism for Photon-Gravitational Wave Mixing Around Magnetars

Author(s)

Côté, Jean-Simon, Fortin, Jean-François

Abstract

The Gertsenshtein effect can be used to probe the stochastic gravitational wave background at high frequencies, well above the range of standard cosmological sources. In this paper, we revisit the conversion between electromagnetic and gravitational waves in the magnetosphere of magnetars by solving the evolution equations of the associated Stokes parameters. In the process, we point out that the adiabatic approximation usually taken in the literature is not generally justified in the context of the Gertsenshtein effect. To derive analytical results, we focus our attention on two specific geometries where the adiabatic approximation is valid. From these, we derive a lower bound on the stochastic gravitational wave background from the conversion of magnetar electromagnetic emission into gravitational waves, and an upper bound by requiring that the conversion of background gravitational waves into electromagnetic radiation does not exceed the observed magnetar flux in the X-ray band. Our results demonstrate that gravitational waves generated through the Gertsenshtein conversion of magnetar electromagnetic emission produce a negligible stochastic background, as anticipated.

Figures

Geometry for the magnetosphere of a magnetar and the electromagnetic--gravitational wave propagation.  The magnetar is centered at the origin, with the magnetic field assumed to follow a dipolar configuration dictated by the magnetic moment $\mathbf{\hat{m}}$.  An electromagnetic--gravitational wave propagates along the $\mathbf{\hat{z}}$ direction with an impact parameter $b$, subject to a magnetic field $\mathbf{B}$ with transverse components $\mathbf{B}_t$.
Caption Geometry for the magnetosphere of a magnetar and the electromagnetic--gravitational wave propagation. The magnetar is centered at the origin, with the magnetic field assumed to follow a dipolar configuration dictated by the magnetic moment $\mathbf{\hat{m}}$. An electromagnetic--gravitational wave propagates along the $\mathbf{\hat{z}}$ direction with an impact parameter $b$, subject to a magnetic field $\mathbf{B}$ with transverse components $\mathbf{B}_t$.
Conversion probability and phase shifts induced by the Gertsenshtein effect as functions of the polar angle relative to the magnetic moment $\alpha$ and angular frequency $\omega$. Green curves are obtained from the numerical integration of \eqref{NumericalProbInt} and \eqref{PhotonDiagPhaseshiftExactRadial}, blue curves from the exact expressions \eqref{MixingProbShiftRadialExact}, and red curves from the analytical approximations \eqref{ApproxProbShiftRadial} and \eqref{RadialApproxPhaseShift}. The three results nearly coincide, leaving only the red curves visible. The off-diagonal phase shifts oscillate rapidly due to the large value of $\lambda$, with those of \eqref{ApproxProbShiftRadial} defined modulo $2\pi$ in the interval $(-\pi,\pi)$. Benchmark parameters correspond to the magnetar 1E~1547.0$-$5408, with $r_0=10$ km and $B_0=3.2\times10^{14},\text{G}$. The left panels use $\omega=10,\text{keV}$, while the right panels use $\alpha=\pi/2$.
Caption Conversion probability and phase shifts induced by the Gertsenshtein effect as functions of the polar angle relative to the magnetic moment $\alpha$ and angular frequency $\omega$. Green curves are obtained from the numerical integration of \eqref{NumericalProbInt} and \eqref{PhotonDiagPhaseshiftExactRadial}, blue curves from the exact expressions \eqref{MixingProbShiftRadialExact}, and red curves from the analytical approximations \eqref{ApproxProbShiftRadial} and \eqref{RadialApproxPhaseShift}. The three results nearly coincide, leaving only the red curves visible. The off-diagonal phase shifts oscillate rapidly due to the large value of $\lambda$, with those of \eqref{ApproxProbShiftRadial} defined modulo $2\pi$ in the interval $(-\pi,\pi)$. Benchmark parameters correspond to the magnetar 1E~1547.0$-$5408, with $r_0=10$ km and $B_0=3.2\times10^{14},\text{G}$. The left panels use $\omega=10,\text{keV}$, while the right panels use $\alpha=\pi/2$.
Conversion probability and phase shifts induced by the Gertsenshtein effect as functions of the polar angle relative to the magnetic moment $\alpha$ and angular frequency $\omega$. Green curves are obtained from the numerical integration of \eqref{NumericalProbInt} and \eqref{PhotonDiagPhaseshiftExactRadial}, blue curves from the exact expressions \eqref{MixingProbShiftRadialExact}, and red curves from the analytical approximations \eqref{ApproxProbShiftRadial} and \eqref{RadialApproxPhaseShift}. The three results nearly coincide, leaving only the red curves visible. The off-diagonal phase shifts oscillate rapidly due to the large value of $\lambda$, with those of \eqref{ApproxProbShiftRadial} defined modulo $2\pi$ in the interval $(-\pi,\pi)$. Benchmark parameters correspond to the magnetar 1E~1547.0$-$5408, with $r_0=10$ km and $B_0=3.2\times10^{14},\text{G}$. The left panels use $\omega=10,\text{keV}$, while the right panels use $\alpha=\pi/2$.
Caption Conversion probability and phase shifts induced by the Gertsenshtein effect as functions of the polar angle relative to the magnetic moment $\alpha$ and angular frequency $\omega$. Green curves are obtained from the numerical integration of \eqref{NumericalProbInt} and \eqref{PhotonDiagPhaseshiftExactRadial}, blue curves from the exact expressions \eqref{MixingProbShiftRadialExact}, and red curves from the analytical approximations \eqref{ApproxProbShiftRadial} and \eqref{RadialApproxPhaseShift}. The three results nearly coincide, leaving only the red curves visible. The off-diagonal phase shifts oscillate rapidly due to the large value of $\lambda$, with those of \eqref{ApproxProbShiftRadial} defined modulo $2\pi$ in the interval $(-\pi,\pi)$. Benchmark parameters correspond to the magnetar 1E~1547.0$-$5408, with $r_0=10$ km and $B_0=3.2\times10^{14},\text{G}$. The left panels use $\omega=10,\text{keV}$, while the right panels use $\alpha=\pi/2$.
Conversion probability and phase shifts induced by the Gertsenshtein effect as functions of the polar angle relative to the magnetic moment $\alpha$ and angular frequency $\omega$. Green curves are obtained from the numerical integration of \eqref{NumericalProbInt} and \eqref{PhotonDiagPhaseshiftExactRadial}, blue curves from the exact expressions \eqref{MixingProbShiftRadialExact}, and red curves from the analytical approximations \eqref{ApproxProbShiftRadial} and \eqref{RadialApproxPhaseShift}. The three results nearly coincide, leaving only the red curves visible. The off-diagonal phase shifts oscillate rapidly due to the large value of $\lambda$, with those of \eqref{ApproxProbShiftRadial} defined modulo $2\pi$ in the interval $(-\pi,\pi)$. Benchmark parameters correspond to the magnetar 1E~1547.0$-$5408, with $r_0=10$ km and $B_0=3.2\times10^{14},\text{G}$. The left panels use $\omega=10,\text{keV}$, while the right panels use $\alpha=\pi/2$.
Caption Conversion probability and phase shifts induced by the Gertsenshtein effect as functions of the polar angle relative to the magnetic moment $\alpha$ and angular frequency $\omega$. Green curves are obtained from the numerical integration of \eqref{NumericalProbInt} and \eqref{PhotonDiagPhaseshiftExactRadial}, blue curves from the exact expressions \eqref{MixingProbShiftRadialExact}, and red curves from the analytical approximations \eqref{ApproxProbShiftRadial} and \eqref{RadialApproxPhaseShift}. The three results nearly coincide, leaving only the red curves visible. The off-diagonal phase shifts oscillate rapidly due to the large value of $\lambda$, with those of \eqref{ApproxProbShiftRadial} defined modulo $2\pi$ in the interval $(-\pi,\pi)$. Benchmark parameters correspond to the magnetar 1E~1547.0$-$5408, with $r_0=10$ km and $B_0=3.2\times10^{14},\text{G}$. The left panels use $\omega=10,\text{keV}$, while the right panels use $\alpha=\pi/2$.
Conversion probability and phase shifts induced by the Gertsenshtein effect as functions of the polar angle relative to the magnetic moment $\alpha$ and angular frequency $\omega$. Green curves are obtained from the numerical integration of \eqref{NumericalProbInt} and \eqref{PhotonDiagPhaseshiftExactRadial}, blue curves from the exact expressions \eqref{MixingProbShiftRadialExact}, and red curves from the analytical approximations \eqref{ApproxProbShiftRadial} and \eqref{RadialApproxPhaseShift}. The three results nearly coincide, leaving only the red curves visible. The off-diagonal phase shifts oscillate rapidly due to the large value of $\lambda$, with those of \eqref{ApproxProbShiftRadial} defined modulo $2\pi$ in the interval $(-\pi,\pi)$. Benchmark parameters correspond to the magnetar 1E~1547.0$-$5408, with $r_0=10$ km and $B_0=3.2\times10^{14},\text{G}$. The left panels use $\omega=10,\text{keV}$, while the right panels use $\alpha=\pi/2$.
Caption Conversion probability and phase shifts induced by the Gertsenshtein effect as functions of the polar angle relative to the magnetic moment $\alpha$ and angular frequency $\omega$. Green curves are obtained from the numerical integration of \eqref{NumericalProbInt} and \eqref{PhotonDiagPhaseshiftExactRadial}, blue curves from the exact expressions \eqref{MixingProbShiftRadialExact}, and red curves from the analytical approximations \eqref{ApproxProbShiftRadial} and \eqref{RadialApproxPhaseShift}. The three results nearly coincide, leaving only the red curves visible. The off-diagonal phase shifts oscillate rapidly due to the large value of $\lambda$, with those of \eqref{ApproxProbShiftRadial} defined modulo $2\pi$ in the interval $(-\pi,\pi)$. Benchmark parameters correspond to the magnetar 1E~1547.0$-$5408, with $r_0=10$ km and $B_0=3.2\times10^{14},\text{G}$. The left panels use $\omega=10,\text{keV}$, while the right panels use $\alpha=\pi/2$.
Conversion probability and phase shifts induced by the Gertsenshtein effect as functions of the polar angle relative to the magnetic moment $\alpha$ and angular frequency $\omega$. Green curves are obtained from the numerical integration of \eqref{NumericalProbInt} and \eqref{PhotonDiagPhaseshiftExactRadial}, blue curves from the exact expressions \eqref{MixingProbShiftRadialExact}, and red curves from the analytical approximations \eqref{ApproxProbShiftRadial} and \eqref{RadialApproxPhaseShift}. The three results nearly coincide, leaving only the red curves visible. The off-diagonal phase shifts oscillate rapidly due to the large value of $\lambda$, with those of \eqref{ApproxProbShiftRadial} defined modulo $2\pi$ in the interval $(-\pi,\pi)$. Benchmark parameters correspond to the magnetar 1E~1547.0$-$5408, with $r_0=10$ km and $B_0=3.2\times10^{14},\text{G}$. The left panels use $\omega=10,\text{keV}$, while the right panels use $\alpha=\pi/2$.
Caption Conversion probability and phase shifts induced by the Gertsenshtein effect as functions of the polar angle relative to the magnetic moment $\alpha$ and angular frequency $\omega$. Green curves are obtained from the numerical integration of \eqref{NumericalProbInt} and \eqref{PhotonDiagPhaseshiftExactRadial}, blue curves from the exact expressions \eqref{MixingProbShiftRadialExact}, and red curves from the analytical approximations \eqref{ApproxProbShiftRadial} and \eqref{RadialApproxPhaseShift}. The three results nearly coincide, leaving only the red curves visible. The off-diagonal phase shifts oscillate rapidly due to the large value of $\lambda$, with those of \eqref{ApproxProbShiftRadial} defined modulo $2\pi$ in the interval $(-\pi,\pi)$. Benchmark parameters correspond to the magnetar 1E~1547.0$-$5408, with $r_0=10$ km and $B_0=3.2\times10^{14},\text{G}$. The left panels use $\omega=10,\text{keV}$, while the right panels use $\alpha=\pi/2$.
Conversion probability and phase shifts induced by the Gertsenshtein effect as functions of the polar angle relative to the magnetic moment $\alpha$ and angular frequency $\omega$. Green curves are obtained from the numerical integration of \eqref{NumericalProbInt} and \eqref{PhotonDiagPhaseshiftExactRadial}, blue curves from the exact expressions \eqref{MixingProbShiftRadialExact}, and red curves from the analytical approximations \eqref{ApproxProbShiftRadial} and \eqref{RadialApproxPhaseShift}. The three results nearly coincide, leaving only the red curves visible. The off-diagonal phase shifts oscillate rapidly due to the large value of $\lambda$, with those of \eqref{ApproxProbShiftRadial} defined modulo $2\pi$ in the interval $(-\pi,\pi)$. Benchmark parameters correspond to the magnetar 1E~1547.0$-$5408, with $r_0=10$ km and $B_0=3.2\times10^{14},\text{G}$. The left panels use $\omega=10,\text{keV}$, while the right panels use $\alpha=\pi/2$.
Caption Conversion probability and phase shifts induced by the Gertsenshtein effect as functions of the polar angle relative to the magnetic moment $\alpha$ and angular frequency $\omega$. Green curves are obtained from the numerical integration of \eqref{NumericalProbInt} and \eqref{PhotonDiagPhaseshiftExactRadial}, blue curves from the exact expressions \eqref{MixingProbShiftRadialExact}, and red curves from the analytical approximations \eqref{ApproxProbShiftRadial} and \eqref{RadialApproxPhaseShift}. The three results nearly coincide, leaving only the red curves visible. The off-diagonal phase shifts oscillate rapidly due to the large value of $\lambda$, with those of \eqref{ApproxProbShiftRadial} defined modulo $2\pi$ in the interval $(-\pi,\pi)$. Benchmark parameters correspond to the magnetar 1E~1547.0$-$5408, with $r_0=10$ km and $B_0=3.2\times10^{14},\text{G}$. The left panels use $\omega=10,\text{keV}$, while the right panels use $\alpha=\pi/2$.
Conversion probability and diagonal phase shift induced by the Gertsenshtein effect as functions of the dimensionless impact parameter $\bar b = \frac*{b}{r_0}$ and angular frequency $\omega$. The green curves are obtained from numerical integration of \eqref{MixingProbShiftParallelExact} and \eqref{PhaseshiftExactParallel}, the red curves correspond to the analytical approximations \eqref{ParallelApproxbsimr0} and \eqref{deltaphihjParallelApproxbsimr0} in the regime $b\sim r_0$, and the blue curves denote the asymptotic approximations \eqref{LargebParallelApprox} valid for $b\gg r_0$, where the conversion probability rapidly decreases. Benchmark magnetar parameters are $r_0 = 10$ km and $B_0 = 3.2\times 10^{14}\, \text{G}$, corresponding to 1E~1547.0-5408. The left panels use $\omega = 10\, \text{keV}$, while the right panels use $\bar b = 200$.
Caption Conversion probability and diagonal phase shift induced by the Gertsenshtein effect as functions of the dimensionless impact parameter $\bar b = \frac*{b}{r_0}$ and angular frequency $\omega$. The green curves are obtained from numerical integration of \eqref{MixingProbShiftParallelExact} and \eqref{PhaseshiftExactParallel}, the red curves correspond to the analytical approximations \eqref{ParallelApproxbsimr0} and \eqref{deltaphihjParallelApproxbsimr0} in the regime $b\sim r_0$, and the blue curves denote the asymptotic approximations \eqref{LargebParallelApprox} valid for $b\gg r_0$, where the conversion probability rapidly decreases. Benchmark magnetar parameters are $r_0 = 10$ km and $B_0 = 3.2\times 10^{14}\, \text{G}$, corresponding to 1E~1547.0-5408. The left panels use $\omega = 10\, \text{keV}$, while the right panels use $\bar b = 200$.
Conversion probability and diagonal phase shift induced by the Gertsenshtein effect as functions of the dimensionless impact parameter $\bar b = \frac*{b}{r_0}$ and angular frequency $\omega$. The green curves are obtained from numerical integration of \eqref{MixingProbShiftParallelExact} and \eqref{PhaseshiftExactParallel}, the red curves correspond to the analytical approximations \eqref{ParallelApproxbsimr0} and \eqref{deltaphihjParallelApproxbsimr0} in the regime $b\sim r_0$, and the blue curves denote the asymptotic approximations \eqref{LargebParallelApprox} valid for $b\gg r_0$, where the conversion probability rapidly decreases. Benchmark magnetar parameters are $r_0 = 10$ km and $B_0 = 3.2\times 10^{14}\, \text{G}$, corresponding to 1E~1547.0-5408. The left panels use $\omega = 10\, \text{keV}$, while the right panels use $\bar b = 200$.
Caption Conversion probability and diagonal phase shift induced by the Gertsenshtein effect as functions of the dimensionless impact parameter $\bar b = \frac*{b}{r_0}$ and angular frequency $\omega$. The green curves are obtained from numerical integration of \eqref{MixingProbShiftParallelExact} and \eqref{PhaseshiftExactParallel}, the red curves correspond to the analytical approximations \eqref{ParallelApproxbsimr0} and \eqref{deltaphihjParallelApproxbsimr0} in the regime $b\sim r_0$, and the blue curves denote the asymptotic approximations \eqref{LargebParallelApprox} valid for $b\gg r_0$, where the conversion probability rapidly decreases. Benchmark magnetar parameters are $r_0 = 10$ km and $B_0 = 3.2\times 10^{14}\, \text{G}$, corresponding to 1E~1547.0-5408. The left panels use $\omega = 10\, \text{keV}$, while the right panels use $\bar b = 200$.
Conversion probability and diagonal phase shift induced by the Gertsenshtein effect as functions of the dimensionless impact parameter $\bar b = \frac*{b}{r_0}$ and angular frequency $\omega$. The green curves are obtained from numerical integration of \eqref{MixingProbShiftParallelExact} and \eqref{PhaseshiftExactParallel}, the red curves correspond to the analytical approximations \eqref{ParallelApproxbsimr0} and \eqref{deltaphihjParallelApproxbsimr0} in the regime $b\sim r_0$, and the blue curves denote the asymptotic approximations \eqref{LargebParallelApprox} valid for $b\gg r_0$, where the conversion probability rapidly decreases. Benchmark magnetar parameters are $r_0 = 10$ km and $B_0 = 3.2\times 10^{14}\, \text{G}$, corresponding to 1E~1547.0-5408. The left panels use $\omega = 10\, \text{keV}$, while the right panels use $\bar b = 200$.
Caption Conversion probability and diagonal phase shift induced by the Gertsenshtein effect as functions of the dimensionless impact parameter $\bar b = \frac*{b}{r_0}$ and angular frequency $\omega$. The green curves are obtained from numerical integration of \eqref{MixingProbShiftParallelExact} and \eqref{PhaseshiftExactParallel}, the red curves correspond to the analytical approximations \eqref{ParallelApproxbsimr0} and \eqref{deltaphihjParallelApproxbsimr0} in the regime $b\sim r_0$, and the blue curves denote the asymptotic approximations \eqref{LargebParallelApprox} valid for $b\gg r_0$, where the conversion probability rapidly decreases. Benchmark magnetar parameters are $r_0 = 10$ km and $B_0 = 3.2\times 10^{14}\, \text{G}$, corresponding to 1E~1547.0-5408. The left panels use $\omega = 10\, \text{keV}$, while the right panels use $\bar b = 200$.
Conversion probability and diagonal phase shift induced by the Gertsenshtein effect as functions of the dimensionless impact parameter $\bar b = \frac*{b}{r_0}$ and angular frequency $\omega$. The green curves are obtained from numerical integration of \eqref{MixingProbShiftParallelExact} and \eqref{PhaseshiftExactParallel}, the red curves correspond to the analytical approximations \eqref{ParallelApproxbsimr0} and \eqref{deltaphihjParallelApproxbsimr0} in the regime $b\sim r_0$, and the blue curves denote the asymptotic approximations \eqref{LargebParallelApprox} valid for $b\gg r_0$, where the conversion probability rapidly decreases. Benchmark magnetar parameters are $r_0 = 10$ km and $B_0 = 3.2\times 10^{14}\, \text{G}$, corresponding to 1E~1547.0-5408. The left panels use $\omega = 10\, \text{keV}$, while the right panels use $\bar b = 200$.
Caption Conversion probability and diagonal phase shift induced by the Gertsenshtein effect as functions of the dimensionless impact parameter $\bar b = \frac*{b}{r_0}$ and angular frequency $\omega$. The green curves are obtained from numerical integration of \eqref{MixingProbShiftParallelExact} and \eqref{PhaseshiftExactParallel}, the red curves correspond to the analytical approximations \eqref{ParallelApproxbsimr0} and \eqref{deltaphihjParallelApproxbsimr0} in the regime $b\sim r_0$, and the blue curves denote the asymptotic approximations \eqref{LargebParallelApprox} valid for $b\gg r_0$, where the conversion probability rapidly decreases. Benchmark magnetar parameters are $r_0 = 10$ km and $B_0 = 3.2\times 10^{14}\, \text{G}$, corresponding to 1E~1547.0-5408. The left panels use $\omega = 10\, \text{keV}$, while the right panels use $\bar b = 200$.
Characteristic strain measured at Earth from gravitational waves produced through Gertsenshtein conversion of radially propagating X-rays in magnetars' magnetospheres.
Caption Characteristic strain measured at Earth from gravitational waves produced through Gertsenshtein conversion of radially propagating X-rays in magnetars' magnetospheres.
Upper bounds on the characteristic strain of the gravitational-wave background derived from Gertsenshtein conversion in magnetars' magnetospheres.
Caption Upper bounds on the characteristic strain of the gravitational-wave background derived from Gertsenshtein conversion in magnetars' magnetospheres.
References
  • [1] LIGO Scientific, Virgo Collaboration, B. P. Abbott et al., “Observation of Gravitational Waves from a Binary Black Hole Merger”, Phys. Rev. Lett. 116, 061102 (2016), arXiv:1602.03837 [gr-qc].
  • [2] LIGO Scientific, Virgo Collaboration, B. P. Abbott et al., “GW170817: Observation of Gravitational Waves from a Binary Neutron Star Inspiral”, Phys. Rev. Lett. 119, 161101 (2017), arXiv:1710.05832 [gr-qc].
  • [3] J. L. Cook & L. Sorbo, “Particle production during inflation and gravitational waves detectable by ground-based interferometers”, Phys. Rev. D 85, 023534 (2012), arXiv:1109.0022 [astro-ph.CO], [Erratum: Phys.Rev.D 86, 069901 (2012)].
  • [3] J. L. Cook & L. Sorbo, “Particle production during inflation and gravitational waves detectable by ground-based interferometers”, Phys. Rev. D 85, 023534 (2012), arXiv:1109.0022 [astro-ph.CO], [Erratum: Phys.Rev.D 86, 069901 (2012)].
  • [4] V. Domcke, “Probing inflation models with gravitational waves”, in “51st Rencontres de Moriond on Cosmology”.
  • [4] V. Domcke, “Probing inflation models with gravitational waves”, in “51st Rencontres de Moriond on Cosmology”.
  • [5] K. Saikawa & S. Shirai, “Primordial gravitational waves, precisely: The role of thermodynamics in the Standard Model”, JCAP 05, 035 (2018), arXiv:1803.01038 [hep-ph].
  • [6] B. Eggemeier, J. C. Niemeyer, K. Jedamzik & R. Easther, “Stochastic gravitational waves from postinflationary structure formation”, Phys. Rev. D 107, 043503 (2023), arXiv:2212.00425 [astro-ph.CO].
  • [7] S. Y. Khlebnikov & I. I. Tkachev, “Relic gravitational waves produced after preheating”, Phys. Rev. D 56, 653 (1997), hep-ph/9701423.
  • [8] R. Easther, J. T. Giblin, Jr. & E. A. Lim, “Gravitational Wave Production At The End Of Inflation”, Phys. Rev. Lett. 99, 221301 (2007), astro-ph/0612294.
  • [9] D. G. Figueroa & F. Torrenti, “Gravitational wave production from preheating: parameter dependence”, JCAP 10, 057 (2017), arXiv:1707.04533 [astro-ph.CO].
  • [10] J. Ghiglieri & M. Laine, “Gravitational wave background from Standard Model physics: Qualitative features”, JCAP 07, 022 (2015), arXiv:1504.02569 [hep-ph].
  • [11] A. Ringwald, J. Schütte-Engel & C. Tamarit, “Gravitational Waves as a Big Bang Thermometer”, JCAP 03, 054 (2021), arXiv:2011.04731 [hep-ph].
  • [12] J. Ghiglieri, G. Jackson, M. Laine & Y. Zhu, “Gravitational wave background from Standard Model physics: Complete leading order”, JHEP 2007, 092 (2020), arXiv:2004.11392 [hep-ph].
  • [13] E. Witten, “Cosmic Separation of Phases”, Phys. Rev. D 30, 272 (1984).
  • [14] C. J. Hogan, “Gravitational radiation from cosmological phase transitions”, Mon. Not. Roy. Astron. Soc. 218, 629 (1986).
  • [15] A. Brandenburg, E. Clarke, Y. He & T. Kahniashvili, “Can we observe the QCD phase transition-generated gravitational waves through pulsar timing arrays?”, Phys. Rev. D 104, 043513 (2021), arXiv:2102.12428 [astro-ph.CO].
  • [16] C. Caprini, “Probing Beyond the Standard Model with Gravitational Waves from Phase Transitions”, HiHEP 1, 22 (2025), arXiv:2602.02861 [astro-ph.CO].
  • [17] J. J. Blanco-Pillado & K. D. Olum, “Stochastic gravitational wave background from smoothed cosmic string loops”, Phys. Rev. D 96, 104046 (2017), arXiv:1709.02693 [astro-ph.CO].
  • [18] P. Auclair et al., “Probing the gravitational wave background from cosmic strings with LISA”, JCAP 04, 034 (2020), arXiv:1909.00819 [astro-ph.CO].
  • [19] G. Servant & P. Simakachorn, “Ultrahigh frequency primordial gravitational waves beyond the kHz: The case of cosmic strings”, Phys. Rev. D 109, 103538 (2024), arXiv:2312.09281 [hep-ph].
  • [20] A. Bauswein, N. Stergioulas & H.-T. Janka, “Exploring properties of high-density matter through remnants of neutron-star mergers”, Eur. Phys. J. A 52, 56 (2016), arXiv:1508.05493 [astro-ph.HE].
  • [21] T. Nakamura, M. Sasaki, T. Tanaka & K. S. Thorne, “Gravitational waves from coalescing black hole MACHO binaries”, Astrophys. J. Lett. 487, L139 (1997), astro-ph/9708060.
  • [22] M. Sasaki, T. Suyama, T. Tanaka & S. Yokoyama, “Primordial Black Hole Scenario for the Gravitational-Wave Event GW150914”, Phys. Rev. Lett. 117, 061101 (2016), arXiv:1603.08338 [astro-ph.CO], [Erratum: Phys.Rev.Lett. 121, 059901 (2018)].
  • [22] M. Sasaki, T. Suyama, T. Tanaka & S. Yokoyama, “Primordial Black Hole Scenario for the Gravitational-Wave Event GW150914”, Phys. Rev. Lett. 117, 061101 (2016), arXiv:1603.08338 [astro-ph.CO], [Erratum: Phys.Rev.Lett. 121, 059901 (2018)].
  • [23] S. Wang, T. Terada & K. Kohri, “Prospective constraints on the primordial black hole abundance from the stochastic gravitational-wave backgrounds produced by coalescing events and curvature perturbations”, Phys. Rev. D 99, 103531 (2019), arXiv:1903.05924 [astro-ph.CO], [Erratum: Phys.Rev.D 101, 069901 (2020)].
  • [23] S. Wang, T. Terada & K. Kohri, “Prospective constraints on the primordial black hole abundance from the stochastic gravitational-wave backgrounds produced by coalescing events and curvature perturbations”, Phys. Rev. D 99, 103531 (2019), arXiv:1903.05924 [astro-ph.CO], [Erratum: Phys.Rev.D 101, 069901 (2020)].
  • [24] G. Narain, J. Schaffner-Bielich & I. N. Mishustin, “Compact stars made of fermionic dark matter”, Phys. Rev. D 74, 063003 (2006), astro-ph/0605724.
  • [25] G. F. Giudice, M. McCullough & A. Urbano, “Hunting for Dark Particles with Gravitational Waves”, JCAP 10, 001 (2016), arXiv:1605.01209 [hep-ph].
  • [26] S. Krippendorf, F. Muia & F. Quevedo, “Moduli Stars”, JHEP 1808, 070 (2018), arXiv:1806.04690 [hep-th].
  • [27] A. Arvanitaki, M. Baryakhtar & X. Huang, “Discovering the QCD Axion with Black Holes and Gravitational Waves”, Phys. Rev. D 91, 084011 (2015), arXiv:1411.2263 [hep-ph].
  • [28] S.-T. Peng & J. Zhang, “Gravitational waves from superradiant cloud level transition”, Phys. Rev. D 113, 064038 (2026), arXiv:2504.00728 [gr-qc].
  • [29] C. Caprini & D. G. Figueroa, “Cosmological backgrounds of gravitational waves”, Classical and Quantum Gravity 35, 163001 (2018).
  • [30] N. Aggarwal et al., “Challenges and opportunities of gravitational-wave searches at MHz to GHz frequencies”, Living Rev. Rel. 24, 4 (2021), arXiv:2011.12414 [gr-qc].
  • [31] A. I. Renzini, B. Goncharov, A. C. Jenkins & P. M. Meyers, “Stochastic GravitationalWave Backgrounds: Current Detection Efforts and Future Prospects”, Galaxies 10, 34 (2022), arXiv:2202.00178 [gr-qc].
  • [32] V. Domcke, C. Garcia-Cely & S. M. Lee, “Gravitational wave scattering on magnetic fields”, JCAP 11, 016 (2025), arXiv:2507.16609 [gr-qc].
  • [33] S. A. Olausen & V. M. Kaspi, “The McGill Magnetar Catalog”, Astrophys. J. Suppl. 212, 6 (2014), arXiv:1309.4167 [astro-ph.HE].
  • [34] V. M. Kaspi & A. Beloborodov, “Magnetars”, Ann. Rev. Astron. Astrophys. 55, 261 (2017), arXiv:1703.00068 [astro-ph.HE].
  • [35] S. Şaşmaz Muş, S. Çıkıntoğlu, U. Aygün, I. C. Andaç & K. Y. Ekşi, “The First Day in the Life of a Magnetar: Evolution of the Inclination Angle, Magnetic Dipole Moment, and Braking Index of Millisecond Magnetars during Gamma-Ray Burst Afterglows”, The Astrophysical Journal 886, 5 (2019), https://api.semanticscholar.org/CorpusID:119309172 .
  • [36] W. Heisenberg & H. Euler, “Consequences of Dirac’s theory of positrons”, Z. Phys. 98, 714 (1936), physics/0605038.
  • [37] J. I. McDonald & S. A. R. Ellis, “Resonant conversion of gravitational waves in neutron star magnetospheres”, Phys. Rev. D 110, 103003 (2024), arXiv:2406.18634 [hep-ph].
  • [38] G. Raffelt & L. Stodolsky, “Mixing of the Photon with Low Mass Particles”, Phys. Rev. D 37, 1237 (1988).
  • [39] D. Lai & J. Heyl, “Probing axions with radiation from magnetic stars”, Phys. Rev. D 74, 123003 (2006), https://link.aps.org/doi/10.1103/PhysRevD.74.123003 .
  • [40] J.-F. Fortin & K. Sinha, “Photon-dark photon conversions in extreme background electromagnetic fields”, JCAP 11, 020 (2019), arXiv:1904.08968 [hep-ph].
  • [41] A. Y. Potekhin, D. Lai, G. Chabrier & W. C. G. Ho, “Electromagnetic polarization in partially ionized plasmas with strong magnetic fields and neutron star atmosphere models”, Astrophys. J. 612, 1034 (2004), astro-ph/0405383.
  • [42] W. Chiba, R. Jinno & K. Nomura, “Graviton-photon conversion in stochastic magnetic fields”, Phys. Rev. D 112, 083539 (2025), arXiv:2505.10926 [gr-qc].
  • [43] D. Ejlli & V. R. Thandlam, “Graviton-photon mixing”, Phys. Rev. D 99, 044022 (2019), arXiv:1807.00171 [gr-qc].
  • [44] A. Gupta, P. Majumdar, S. Roy & P. Sarkar, “High-Frequency Gravitational Wave Constraints from Graviton-Photon Conversion in the M87 Galaxy”, arXiv:2604.01290 [hep-ph].
  • [45] T. Liu, J. Ren & C. Zhang, “Limits on High-Frequency Gravitational Waves in Planetary Magnetospheres”, Phys. Rev. Lett. 132, 131402 (2024), arXiv:2305.01832 [hep-ph].
  • [46] V. Dandoy, T. Bertólez-Martı́nez & F. Costa, “High Frequency Gravitational Wave bounds from galactic neutron stars”, JCAP 12, 023 (2024), arXiv:2402.14092 [gr-qc].
  • [47] J.-F. Fortin & K. Sinha, “Polarization formalism for ALP-induced X-ray emission from magnetars”, JCAP 08, 042 (2023), arXiv:2303.17641 [astro-ph.HE].
  • [48] C. Dessert, A. J. Long & B. R. Safdi, “X-ray Signatures of Axion Conversion in Magnetic White Dwarf Stars”, Phys. Rev. Lett. 123, 061104 (2019), arXiv:1903.05088 [hep-ph].
  • [49] J.-F. Fortin & K. Sinha, “X-Ray Polarization Signals from Magnetars with Axion-LikeParticles”, JHEP 1901, 163 (2019), arXiv:1807.10773 [hep-ph].
  • [50] A. Ito, K. Kohri & K. Nakayama, “Probing high frequency gravitational waves with pulsars”, Phys. Rev. D 109, 063026 (2024), arXiv:2305.13984 [gr-qc].
  • [51] C.-Y. Ng & R. Romani, “Fitting Pulsar Wind Tori. II. Error Analysis and Applications”, The Astrophysical Journal 673, 411 (2008).
  • [52] S. Ramazanov, R. Samanta, G. Trenkler & F. Urban, “Shimmering gravitons in the gamma-ray sky”, Publisher: IOP Publishing, https://doi.org/10.1088/1475-7516/2023/06/019 .
  • [53] J.-F. Fortin, H.-K. Guo, S. P. Harris, E. Sheridan & K. Sinha, “Magnetars and axion-like particles: probes with the hard X-ray spectrum”, JCAP 06, 036 (2021), arXiv:2101.05302 [hep-ph].
  • [54] M. Maggiore, “Gravitational wave experiments and early universe cosmology”, Phys. Rept. 331, 283 (2000), gr-qc/9909001.
  • [55] N. Bleistein & R. Handelsman, “Asymptotic Expansions of Integrals”, Dover Publications (1986).
  • [56] L. Kuiper, P. G. Jonker, M. A. P. Torres, A. Rest & S. Keek, “The discovery of a new hard Xray source in the Norma region by INTEGRAL: IGR J16293-4603”, The Astronomer’s Telegram 1774, 1 (2008).
  • [57] L. Kuiper, W. Hermsen, P. den Hartog & J. Urama, “TEMPORAL AND SPECTRAL EVOLUTION IN X- AND γ-RAYS OF MAGNETAR 1E 1547.0–5408 SINCE ITS 2008 OCTOBER OUTBURST: THE DISCOVERY OF A TRANSIENT HARD PULSED COMPONENT AFTER ITS 2009 JANUARY OUTBURST”, The Astrophysical Journal 748, 133 (2012).
  • [58] F. Coti Zelati, A. Borghese, N. Rea, D. Viganò, T. Enoto, P. Esposito, J. A. Pons, S. Campana & G. L. Israel, “The long-term enhanced brightness of the magnetar 1E 1547.0–5408”, Astronomy & amp; Astrophysics 633, A31 (2020).
  • [58] F. Coti Zelati, A. Borghese, N. Rea, D. Viganò, T. Enoto, P. Esposito, J. A. Pons, S. Campana & G. L. Israel, “The long-term enhanced brightness of the magnetar 1E 1547.0–5408”, Astronomy & amp; Astrophysics 633, A31 (2020).
  • [59] L. Kuiper, W. Hermsen & M. Mendez, “Discovery of hard non-thermal pulsed X-ray emission from the anomalous X-ray pulsar 1E 1841–045”, Astrophys. J. 613, 1173 (2004), astro-ph/0404582.
  • [60] M. Morii, S. Kitamoto, N. Shibazaki, N. Kawai, M. Arimoto, M. Ueno, T. Kohmura, Y. Terada, S. Yamauchi & H. Takahashi, “Suzaku Observation of the Anomalous X-Ray Pulsar 1E 1841– 045”, Publications- Astronomical Society of Japan 62, 1249 (2010).
  • [61] T. Enoto, S. Shibata, T. Kitaguchi, Y. Suwa, T. Uchide, H. Nishioka, S. Kisaka, T. Nakano, H. Murakami & K. Makishima, “Magnetar Broadband X-ray Spectra Correlated with Magnetic Fields: Suzaku Archive of SGRs and AXPs Combined with NuSTAR, Swift, and RXTE”, Astrophys. J. Suppl. 231, 8 (2017), arXiv:1704.07018 [astro-ph.HE].
  • [62] T. Enoto, K. Makishima, K. Nakazawa, M. Kokubun, M. Kawaharada, J. Kotoku & N. Shibazaki, “Soft and Hard X-Ray Emissions from the Anomalous X-Ray Pulsar 4U 0142+61 Observed with Suzaku”, Publications of the Astronomical Society of Japan 63, 387 (2011), https://doi.org/10.1093/pasj/63.2.387 .
  • [63] W. Wang, H. Tong & Y. Guo, “Hard X-ray emission cutoff in the anomalous X-ray pulsar 4U 0142+61 detected by INTEGRAL”, Research in Astronomy and Astrophysics 14, 673 (2013), https://api.semanticscholar.org/CorpusID:119125586 .
  • [64] G. Younes, M. Baring, C. Kouveliotou, A. Harding, S. Donovan, E. Göğüş, V. Kaspi & J. Granot, “The Sleeping Monster: NuSTAR Observations of SGR 1806–20, 11 Years After the Giant Flare”, The Astrophysical Journal 851, 17 (2017).
  • [65] J. L. Bibby, P. A. Crowther, J. P. Furness & J. S. Clark, “A downward revision to the distance of the 1806-20 cluster and associated magnetar from Gemini Near-Infrared Spectroscopy”, Monthly Notices of the Royal Astronomical Society: Letters 386, 23 (2008), https://api.semanticscholar.org/CorpusID:14466990 .