Rotation period of the O giant xi Persei: Coexistence of cyclic and periodic variability. A weakly magnetic candidate star
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Introduction to the show: ident: Astrophysics Radio. Generated commentary on the latest astrophysics papers.
Vera: Today's paper: "Rotation period of the O giant xi Persei".
Jocelyn: The gist The low-velocity absorption part of the N iv λ1718 Å line of ξ Persei has been shown to contain a prominent sinusoidal signal with a period of 2.040514…
Vera: First, who's behind it and why it matters.
Paper summary: Vera: So, we’re looking at this paper, "Rotation period of the O giant xi Persei: Coexistence of cyclic and periodic variability. A weakly magnetic candidate star." It basically claims that what we see in the wind around ξ Persei is a mix of two different behaviors.
Jocelyn: That mix involves a strict, stable clock from rotation and then some more cyclic activity that seems to come from spots on the star itself.
Subrahmanyan: The authors use this combination of data—UV lines, photometry, and X-rays—to paint a picture where both rotational effects and a magnetic field play roles in shaping how the stellar wind looks.
Vera: They're pointing toward a scenario where even if the magnetic field isn't super strong, it can still create structures like a magnetospheric disc that changes shape as the star rotates.
Jocelyn: It’s about moving beyond just seeing one thing and realizing that multiple different observational tools tell us different parts of this complex wind picture simultaneously.
Subrahmanyan: The implication for us is that we need to be careful not to assume a strong magnetic field is necessary to explain all the variability we observe in these massive stars.
Vera: Because they put mathematical limits on the magnetic confinement parameter, showing that if the field is below a certain level, it just doesn't provide enough confinement for this specific effect.
Jocelyn: So, while the rotation period is solid evidence for *something* influencing the wind structure, we still need those high-sensitivity magnetic measurements to confirm if that something is a global field or just some localized effect.
Subrahmanyan: That leads us right into how we plan to probe these stars further with newer telescopes designed to look for those very faint magnetic signatures.
Conclusion: Vera: So, to wrap up this paper, "Rotation period of the O giant xi Persei: Coexistence of cyclic and periodic variability. A weakly magnetic candidate star," they are basically saying that what we see is a mix of two different behaviors in the wind around ξ Persei.
Jocelyn: That mix involves a strict, stable clock from rotation, and then some more cyclic activity that seems to come from spots on the star itself.
Subrahmanyan: The authors use this combination of data—UV lines, photometry, and X-rays—to paint a picture where both rotational effects and a magnetic field play roles in shaping how the stellar wind looks.
Vera: They're pointing toward a scenario where even if the magnetic field isn't super strong, it can still create structures like a magnetospheric disc that changes shape as the star rotates.
Jocelyn: It’s about moving beyond just seeing one thing and realizing that multiple different observational tools tell us different parts of this complex wind picture simultaneously.
Subrahmanyan: The implication for us is that we need to be careful not to assume a strong magnetic field is necessary to explain all the variability we observe in these massive stars.
Vera: Because they put mathematical limits on the magnetic confinement parameter, showing that if the field is below a certain level, it just doesn't provide enough confinement for this specific effect.
Jocelyn: So, while the rotation period is solid evidence for *something* influencing the wind structure, we still need those high-sensitivity magnetic measurements to confirm if that something is a global field or just some localized effect.
Subrahmanyan: That leads us right into how we plan to probe these stars further with newer telescopes designed to look for those very faint magnetic signatures.
Anton Pannekoek Instituut voor Sterrenkunde, Universiteit van Amsterdam · Department of Physics, Central Michigan University
astro-ph.SR
Submitted: 2026-10-08
Updated: 2026-10-09
Comments: 20 pages, 20 figures
Journal ref: AA57678-25, 2026, A&A, 714, A63
DOI: 10.1051/0004-6361/202557678
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Importance score: 70/100
The gist: The gist The low-velocity absorption part of the N iv λ1718 Å line of ξ Persei has been shown to contain a prominent sinusoidal signal with a period of 2.040514 ± 0.000020 d, which is identified
Key concepts
- Rotation Period
- The measured 2.040514 ± 0.000020 d period found in the N iv line flux is identified as the star's rotation period. This provides a stable clock for strictly periodic variations observed in the wind near the stellar surface.
- Magnetospheric Disc
- The paper proposes that a weak global magnetic field can confine the stellar wind, creating a small magnetospheric disc. The sinusoidal variations observed are interpreted as changes in the projected area of this disc as it rotates with the star.
- Corotating Interaction Regions (CIRs)
- These are regions where plasma interacts with magnetic fields at higher latitudes. The cyclic nature seen in Si iv doublet DACs is consistent with CIR models, suggesting that spots driving these regions originate from moderate-to-high magnetic latitudes.
Terminology
Summary
The gist The low-velocity absorption part of the N iv λ1718 Å line of ξ Persei has been shown to contain a prominent sinusoidal signal with a period of 2.040514 ± 0.000020 d, which is identified as the stellar rotation period The most likely origin of the rotational modulation is the presence of a weak (presumably) dipolar magnetic field, which has nonetheless remained undetected thus far
How it works
The researchers searched for periodicity in spectral regions probing the region around the star very close to the surface, specifically focusing on low-velocity wind regions They identified the low-velocity wind region probed by the N iv λ1718 Å line as a most uncontaminated spectral region for which a large and homogeneous dataset is available
from 307 IUE spectra over 12 years and 11 STIS spectra taken 21 years later They also studied time-resolved He ii λ4686 Å spectra Furthermore, they searched for periodicities in high-precision space photometry (MOST, BRITE, and TESS), covering a time span of 13 years
Period Analysis and Results
The CLEAN analysis and subsequent weighted least-squares fit of the flux in the N iv line region resulted in a unique period of 2.040514± 0.000020 d, attributed to rotation The phase of maximum flux in the N iv, Si iv, Hα, and He ii line profiles coincided with results from X-ray variability studies They also found this period with low amplitude in photometric data, albeit with large intrinsic scatter, and with a deviating maximum phase The analysis of the N iv flux using weighted least-squares fit of the IUE + 4w STIS data yielded a best period of 2.040514 d with a formal 1-σ uncertainty of 0.000020 d This result is in opposition to earlier conclusions favouring a rotation period of ∼4 d, which was based on the assumption of a much larger stellar radius than they adopted in this work
Interpretation and Physical Model
The coherent periodic behaviour of several observables probing the wind nearest the stellar surface suggests that ξ Per has an as-yet undetected weak global surface magnetic field The sinusoidal behaviour suggested that only one magnetic pole is visible, implying an inclination of i ∼ 51◦, and therefore β ≲ 90◦ −i = 39◦ for the magnetic obliquity They propose a conceptual framework where weak wind confinement by a global magnetic field can create a small magnetospheric disc, while allowing for the formation of more classic ‘corotating interaction regions’ at higher magnetic latitudes The periodic variations are then understood to result from the changing projected area of the magnetospheric disc as a function of rotational phase, both along the line of sight and off the stellar limb
Coexistence of Variability Drivers
The study distinguishes between two types of variability: a strict periodicity seen in N iv low-velocity flux variations and an apparently cyclic nature found in Si iv doublet DACs, especially at high velocities The strict periodicity is consistent with the presence of a stable, large-scale magnetic field on the surface of ξ Per The cyclic nature of the Si iv DACs is still considered consistent with the prevalent CIR model, proposing that spots driving these CIRs originate from moderate-to-high magnetic latitudes This leads to a toy model involving both a magnetospheric disc with a varying projected area and the aforementioned CIRs, all contributing to the variability seen across multiple observational diagnostics
Magnetic Field Constraints
Assuming the star hosts a magnetic dipole field, calculations based on adopted stellar parameters and an upper limit on polar field strength of 59 G yield a wind magnetic confinement parameter η∗ = 0.16 This value corresponds to a magnetic field strength of Beq ≈ 23 G, which is below the upper limit reported by David-Uraz et al. (2014) The results indicate that any large-scale magnetic field below this limit would only produce weak wind confinement
Conclusion
The paper concludes that the rotation period of 2.040514 ± 0.000020 d is the stellar rotation period, and it provides a stable clock for strictly periodic variations in the wind near the stellar surface The authors suggest that while stochastic low-frequency (SLF) variability may be present, the periodicity observed in N iv lines points to a stable, large-scale magnetic field Highly sensitive magnetic measurements in the future might eventually prove or disprove their conjecture that ξ Per hosts a magnetic field
Data Availability
Tables 2 and 3 are only available in electronic form at the CDS via anonymous ftp to cdsarc.u-strasbg.fr (130.79.128.5) or via http://cdsweb.u-strasbg.fr/cgi-bin/qcat?J/A+A The data were obtained from the Mikulski Archive for Space Telescopes at the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS 26555 for HST The paper includes data collected with the TESS mission, obtained from the MAST data archive at the Space Telescope Science Institute (STScI) The funding for the TESS mission is provided by the NASA Explorer Program Parts of Sect. 6 are based on data collected by the BRITE Constellation satellite mission, designed, built, launched, operated and supported by the Austrian Research Promotion Agency (FFG), the University of Vienna, the Technical University of Graz, the Canadian Space Agency (CSA), the University of Toronto Institute for Aerospace Studies (UTIAS), and the Foundation for Polish Science & Technology (FNiTP MNiSW), and the National Science Centre (NCN) The paper includes data collected with TESS mission, obtained from the MAST data archive at the Space Telescope Science Institute (STScI) The funding for the TESS mission is provided by the NASA Explorer Program Parts of Sect. 6 are based on data collected by the BRITE Constellation satellite mission, designed, built, launched, operated and supported by the Austrian Research Promotion Agency (FFG), the University of Vienna, the Technical University of Graz, and the Canadian Space Agency (CSA), and the University of Toronto Institute for Aerospace Studies (UTIAS), and the Foundation for Polish Science & Technology (FNiTP MNiSW), and the National Science Centre (NCN) The paper includes data collected with TESS mission, obtained from the MAST data archive at the Space Telescope Science Institute (STScI) The funding for the TESS mission is provided by the NASA Explorer Program Parts of Sect. 6 are based on data collected by BRITE Constellation satellite mission, designed, built, launched, operated and supported by the Austrian Research Promotion Agency (FFG), the University of Vienna, the Technical University of Graz, and the Canadian Space Agency (CSA), and the University of Toronto Institute for Aerospace Studies (UTIAS), and the Foundation for Polish Science & Technology (FNiTP MNiSW), and the National Science Centre (NCN) The paper includes data collected with TESS mission, obtained from the MAST data archive at the Space Telescope Science Institute (STScI)
Acknowledgements
The authors are very grateful to the observers who contributed to this project, in particular to Douglas Gies at Kitt Peak and Regina Zwarthoed at Calar Alto during the 1989 campaign Special thanks go to Katie Gordon and Douglas Gies for providing the angular diameter of ξ Per, and to Tahina Ramiaramanantsoa for helpful discussions and comments regarding results of MOST and BRITE photometry They gratefully acknowledge insightful discussions with Lex Kaper, Henk Spruit, Asif ud-Doula, Alex de Koter, Zsolt Keszthelyi, Sarah Brands, and David Cohen They are also much indebted to Stan Owocki for helpful correspondence and reading a first version of the manuscript Jari van Opijnen kindly provided the corrected Gaia distance value They gratefully thank the late Derck Massa for his generous comments on the analysis of STIS spectra
References
(1) Sota et al. (2011) (2) Maíz-Apellániz et al. (2004) (3) Gaia DR3 Bailer-Jones et al. (2021) (4) Martins et al. (2017) (5) Markova et al.
Improvements for AI systems
-
Based on Section 4, an improved AI system can perform robust period analysis by implementing a weighted least-squares cosine fit with four free parameters:
f(a, b, P, t0) = b + a cos (2π/P) (t − t0)
. This allows the system to systematically compare results across different datasets (IUE vs. IUE + STIS), as shown in Table 4. -
The AI can be trained to critically assess the impact of data sampling irregularity on periodogram analysis, specifically by comparing
the generalised Lomb-Scargle (GLS) periodogram
results with afine frequency grid
versus a grid that includes theknown period from CLEAN,
as detailed in Fig. 6c. -
The system can be engineered to differentiate between periodic and cyclic variability by analyzing the phase dependency of different spectral line regions; for instance, it can compare
the strict periodicity seen in the N iv low-velocity flux variations
withthe apparently cyclic nature of the DACs found in the Si iv doublet,
as discussed in Section 9. -
The AI should be capable of calculating and interpreting wind confinement parameters like η∗ = B2eqR2/Ṁv∞, using adopted stellar parameters from Table 1 to determine the resulting
Alfvén radius
relative to theKeplerian corotation radius,
as described in Section 8.3. -
The system can integrate multi-wavelength data by comparing phase relationships between different diagnostics, such as correlating
the phase corresponding to maximum Hα emission is typically referred to as the high state
with the phases ofN iv,
Si iv,
andHe ii
flux maxima in Fig. 17. -
The AI can evaluate the physical implications of magnetic obliquity by using stellar parameters to predict inclination angles, concluding that for a radius of 11.2 R⊙, the inclination angle is expected to be
51◦
based on Fig. 12 and Section 5.
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