Abstract
UV spectroscopy and spectropolarimetry hold the key to understanding certain aspects of massive stars that are largely inaccessible (or exceptionally difficult) with optical or longer wavelength observations. As we demonstrate, this is especially true for the rapidly-rotating Be and Bn stars, owing to their high temperatures, geometric asymmetries, binary properties, evolutionary history, as well as mass ejection and disks (in the case of Be stars). UV spectropolarimetric observations are extremely sensitive to the photospheric consequences of rapid rotation (i.e. oblateness, temperature, and surface gravity gradients), far beyond the reach of optical wavelengths. Our polarized radiative-transfer modelling predicts that with low-resolution UV spectropolarimetry covering 120–300 nm, and with a reasonable SNR, the inclination angle of a rapid rotator can be determined to within 5 degrees, and the rotation rate to within 1%. The origin of rapid rotation in Be/n stars can be explained by either single-star or binary evolution, but their relative importance is largely unknown. Some Be stars have hot sub-luminous (sdO) companions, which at an earlier phase transferred their envelope (and with it mass and angular momentum) to the present-day rapid rotator. Although sdO stars are small and relatively faint, their flux peaks in the UV making this the optimal observational wavelength regime. Through spectral modelling of a wide range of simulated Be/n+sdO configurations, we demonstrate that high-resolution high-signal-to-noise ratio UV spectroscopy can detect an sdO star even when ∼1,000 times fainter in the UV than its Be/n star companion. This degree of sensitivity is needed to more fully explore the parameter space of Be/n+sdO binaries, which so far has been limited to about a dozen systems with relatively luminous sdO stars. We suggest that a UV spectropolarimetric survey of Be/n stars is the next step forward in understanding this population. Such a dataset would, when combined with population synthesis models, allow for the determination of the relative importance of the possible evolutionary pathways traversed by these stars, which is also crucial for understanding their future evolution and fate.
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Data Availability
The simulated data generated for Sect. 5.3.1 is available upon reasonable request. Data sharing is otherwise not applicable to this article as no other datasets were generated or analysed during the current study.
Notes
“Close” here is taken to mean that binary interaction has or will have occurred at some point over the main sequence (MS) or post-MS evolution of one or both stars.
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Acknowledgements
The authors would like to thank the anonymous referee for a thorough reading, suggestions and detailed comments that helped to improve this paper.
This research has made use of NASA’s Astrophysics Data System and the SIMBAD database, operated at CDS, Strasbourg, France. This work utilized the BeSS database, operated at LESIA, Observatoire de Meudon, France: http://basebe.obspm.fr and Astropy, http://www.astropy.org a community-developed core Python package for Astronomy (Robitaille et al. 2013; Price-Whelan et al. 2018).
Funding
CEJ wishes to acknowledge support through the Natural Sciences and Engineering Research Council of Canada, NSERC. JLH acknowledges support from the National Science Foundation under award AST-1816944 and from the University of Denver via a 2021 PROF award. JL-B acknowledges support from FAPESP (grant 2017/23731-1). DVC wishes to thank Prof. Jeremy Bailey for his assistance in setting up the SYNSPEC/VLIDORT program and Prof. Ian Howarth for useful discussions. Y.N. acknowledges support from the Fonds National de la Recherche Scientifique (Belgium), the European Space Agency (ESA) and the Belgian Federal Science Policy Office (BELSPO) in the framework of the PRODEX Programme (contracts linked to XMM-Newton and Gaia). GJP gratefully acknowledges support from NASA grant 80NSSC18K0919 and STScI grants HST-GO-15659.002 and HST-GO-15869.001. DJH acknowledges support from STScI grant HST-AR-16131.001-A. ACC acknowledges support from CNPq (grant 311446/2019-1) and FAPESP (grants 2018/04055-8 and 2019/13354-1). RI acknowledges funding support from a grant by the National Science Foundation (NSF), AST-2009412.
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All authors shared ideas to motivate our work and to concretely show that UV spectroscopy and spectropolarimetry is key to understanding many aspects of massive stars, especially the Be and Bn stars and their companions. All authors contributed to the writing of the paper and commented on the manuscript. JLB analyzed grids of OB+sdO star synthetic spectra (computed by DJH) to determine the detectability of faint sdO companions, and curated the target list. DVC completed the polarized radiative transfer modelling of rapid rotation.
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Appendices
Appendix A: Target list
Appendix B: Detectability of faint sdO companions
Further details are described here concerning the methods used to determine the channel 1 spectroscopic SNR needed to adequately explore the parameter space of Be/Bn+sdO binaries. It is worth keeping in mind that while in the known Be+sdO binaries the sdO star contributes about 2% – 10% of the total flux in the UV, these cases were discovered primarily through analysis of low-SNR archival spectra which were not sensitive enough to detect fainter systems. In order to determine the binary fraction and properties of the Be/n population in general, while discovering and characterizing potential Be/n+sdO systems, observations should be sufficiently sensitive as to detect hot sub-luminous companions even when they contribute only ∼0.1% (or a few times this) of the total UV flux. This is justified in Sect. 5.1.2 and further examined here.
2.1 B.1 Methodology
Synthetic composite spectra were used to emulate Polstar observations of Be/n+sdO binaries using the non-LTE radiative code CMFGEN (Hillier and Miller 1998). For the (O)B star component, models were generated for \(\log{g}\) = 4.0 and five values of \(T_{\mathit{eff}}\) (13, 18, 20, 25, and 35 kK), roughly corresponding to spectral types of B8, B6, B4, B1, and O9. These spectra were convolved with a Gaussian so that absorption lines were broadened to correspond approximately to \(v\sin{i}\) = 250 km s−1. Ten sdO model spectra were generated for \(\log{g}\) = 4.5 and 5.0, and \(T_{\mathit{eff}}\) = 30, 35, 40, 45, and 50 kK, broadened to correspond to \(v\sin{i}\) = 15 km s−1. The B and sdO spectra were then co-added over a range of luminosity (\(L_{\mathit{sdO}}\) = 0.1 – 1,000 \(L_{\odot}\)) and noise levels (SNR between 10 – 1,000) for a given B star model spectrum. For testing the relatively luminous O star, \(L_{\mathit{sdO}}\) was extended to 10,000 \(L_{\odot}\), although such high sdO luminosities are not realistic.
In nearly all trials, the features in the co-added spectra are dominated by the relatively luminous B star (see top panels of Fig. 15). Since the absorption lines of the rapidly-rotating B star are wide compared to the sdO lines, in effect the sdO spectrum can be isolated by convolving the co-added spectrum with a Gaussian that is wider than the sdO features but more narrow than the B star features, and then dividing the simulated data by the ‘smoothed’ fit. This was done prior to cross-correlating the sdO template spectra. However, in practice, it may be preferable to simultaneously (or iteratively) perform a two-component CCF analysis considering both the B and sdO stars. In these tests, the input model spectrum of the B star (scaled to the correct flux ratio) could have been removed from the co-added noise-added spectrum perfectly, but such an ideal fit of the B star model to the data is not expected to be realized in practice, and simply applying a smoothing kernel is probably closer to a more realistic treatment of observational data.
A CCF analysis was then used to attempt to recover the spectroscopic signature of the sdO star. Figure 15 illustrates part of this procedure for two trials – a threshold case and a strong detection.
Each sdO template was cross-correlated with the (noisy) simulated spectrum (after removing the broad features, as above). The strength of the CCF signal corresponding to the input sdO model is then used as the metric to gauge the degree of detectability of the sdO spectrum for a given combination of the adopted stellar and noise parameters. In this application, a CCF SNR of ≳5 can be considered a (marginal) detection, but a stronger signal is needed to differentiate between different sdO model spectra. In the majority of cases where the CCF SNR ≳10, the templates with the correct \(T_{\mathit{eff}}\) typically have noticeably higher signals than the other models (surface gravity was harder to differentiate). However, the details of determining the sdO stellar properties from these simulations were not investigated in detail.
2.2 B.2 Results
Figure 16 gives an overview of the ‘detectability space’ in terms of UV spectroscopic SNR and sdO luminosity. For this family of tests, an sdO model with \(\log{g}\) = 4.5 and \(T_{\mathit{eff}}\) = 45 kK was added to the five aforementioned (O)B star model spectra over values of \(L_{\mathit{sdO}}\) and SNR. Virtually the same detectability thresholds are found when using as input any of the other sdO spectra.
In Fig. 16 the lighter yellow regions (upper right in each panel) represent configurations where the sdO spectrum is detected strongly and the spectroscopic parameters can be readily determined. The dark regions in each panel represent non-detections. At a CCF SNR of ∼5 (in the definitions employed here) the sdO spectrum is marginally detected. At CCF SNRs of around 8 – 10, the fidelity of the recovered spectrum becomes high enough to begin to characterize the sdO stellar properties (e.g., \(T_{\mathit{eff}}\) and \(\log{g}\)). The contours in each panel in Fig. 16 trace the boundaries at CCF SNR = 5, 6, 7, 8, and 9, and thus this strip and above is the region where a given combination of \(L_{\mathit{sdO}}\) and spectroscopic SNR should render a detection in a single observation.
These tests show that high SNR (∼300) UV spectroscopy is sensitive enough to detect sdO stars that are ∼1,000 times fainter than their rapidly-rotating B-type companion. And, in the case of non-detections at this degree of precision, stringent constraints can be placed on the nature of an unseen companion (or lack thereof). With Polstar, such observations can be obtained with reasonable exposure times for a significant fraction of the bright sample of Be/n stars listed in Appendix A.
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Jones, C.E., Labadie-Bartz, J., Cotton, D.V. et al. Ultraviolet Spectropolarimetry: on the origin of rapidly rotating B stars. Astrophys Space Sci 367, 124 (2022). https://doi.org/10.1007/s10509-022-04127-5
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DOI: https://doi.org/10.1007/s10509-022-04127-5
Keywords
- Ultraviolet astronomy (1736)
- Ultraviolet telescopes (1743)
- Space telescopes (1547)
- Circumstellar disks (235)
- Early-type emission stars (428)
- Be stars (142)
- Gamma Cassiopeiae stars (635)
- O subdwarf stars (1138)
- Multiple star evolution (2153)
- Stellar rotation (1629)
- Spectropolarimetry (1973)
- Polarimeters (1277)
- Instruments: Polstar
- UV spectropolarimetry
- NASA: MIDEX