Open Access
Issue
A&A
Volume 668, December 2022
Article Number A39
Number of page(s) 6
Section Interstellar and circumstellar matter
DOI https://doi.org/10.1051/0004-6361/202244741
Published online 01 December 2022

© W. Reich et al. 2022

Licence Creative CommonsOpen Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

This article is published in open access under the Subscribe-to-Open model.

Open Access funding provided by Max Planck Society.

1 Introduction

CTB87 (G74.9+1.2) is an unusual plerionic supernova remnant (SNR) in the radio range. It consists of a compact kidney-shaped component called the ‘relic’ component following Kothes et al. (2020). The relic component is surrounded by faint, centrally peaked, halo-like diffuse emission, called the ‘halo’ further on. CTB87 was classified as a filled-centred SNR, where only recently an indication of a partially polarised outer SNR shell was reported by Kothes et al. (2020). Its distance was determined by Kothes et al. (2003) as 6.1±0.9 kpc, which means a physical size of 1.77±0.26 pc for a 1′ structure. CTB87 was also studied in X-rays (Matheson et al. 2013; Guest et al. 2020), and a compact X-ray source was found to be the likely pulsar inside of CTB87 located offset from the radio peak. The X-ray observations did not detect any thermal emission. Guest et al. (2020) argued that the spectrum and the morphology of CTB87 are consistent with a ~20-kyr old pulsar wind nebula (PWN) expanding into a wind-blown bubble.

At radio frequencies, a remarkable spectral steepening above 11 GHz was reported in 1986 by Morsi & Reich (1986), which was based on Effelsberg 32-GHz observations in conjunction with lower-frequency flux densities. This spectral break was indirectly supported by 84-GHz observations done with the IRAM 30-m telescope by Salter et al. (1989), who did not detect any emission from CTB87 at all. Observations with the Arcminute Microkelvin Imager (AMI) by Hurley-Walker et al. (2009) at frequencies between 14 and 18 GHz also supported the spectral break; although, interferometric observations are insensitive to extended emission, so that the faint extended halo emission of CTB87 is missed.

A recent detailed radio study of CTB87 by Kothes et al. (2020) of CTB87’s radio and polarisation properties casted doubt on the reality of the spectral break caused by synchrotron cooling, which requires an unreasonably high magnetic field energy. One explanation for missing extended emission may be insufficient sensitivity or receiver stability of early millimeter observations. Additionally, in some cases, the size of the early maps was not large enough to accurately trace faint extended emission from the outskirts of CTB87. Thus, before discussing alternative physical explanations for the spectral break, new high-frequency observations with an improved sensitivity for faint large-scale emission are required to prove the early high-frequency results. The Effelsberg 100-m telescope is equipped with a sensitive broad-band receiver at λ2 cm, which seems well suited for the purpose of clarifying CTB87’s high-frequency spectrum. In Sect. 2, we describe the λ2 cm radio observations with the Effelsberg 100-m telescope, the data reduction, and calibration. Section 3 presents the resulting maps, flux integration, and the derived spectra. In Sect. 4, we discuss the spectral properties of CTB87. Section 5 summarises our results.

Table 1

Observational parameters.

2 Effelsberg λ2 cm observations and data reduction

We used the broad-band λ2 cm (Ku-band) receiver in the secondary focus of the Effelsberg 100-m telescope during three, almost clear nights in May 2020 and we observed CTB87 with the aim to accurately trace its halo emission. The receiving system is mounted in the secondary focus of the telescope and consists of two feeds with two amplifiers each for the left- and right-hand circular components. The feeds are separated by 3’984 in azimuth and require ‘software beam switching’ (Morsi & Reich 1986) when weather effects must be removed in case they influence the astronomical signal. The four cooled HEMT amplifiers cover the frequency interval from 12 to 18 GHz. This 6-GHz wide band is split into two 2.5-GHz wide frequency bands centred at 14.25 and 16.75 GHz, respectively. Receiver tests1 have shown that the sensitivity across the bandpass increases with frequency. Unfortunately, no polarimeter is connected to the receiver. We found effective centre frequencies of 14.7 and 17.3 GHz for the two frequency bands we observed. The backend provides the two circularly polarised signals for the two feeds and for each frequency band, which represent the total-intensity signal when circular polarisation is negligible, as is the case. We measured a beam width (HPBW) of 51″ and 43″ from the unresolved calibration sources 3C286 and 3C48 at 14.7 GHz and 17.3 GHz, respectively. These measured HPBWs agree with those expected for the Effelsberg 100-m telescope for frequencies of 14.7 GHz and 17.3 GHz. A summary of the observational parameters is listed in Table 1.

Ten maps were observed in the Galactic coordinate system and were centred on CTB87 (l, b = 74.95, 1°.15). Raster scans were observed by moving the telescope either along Galactic longitude or in the latitude direction, where subsequent scans were separated by 20″. The size of the maps varied between 20′ × 20′ and 24′ × 24′.

The tabulated backend data were combined into raw maps for each of the four channels for each feed by using standard procedures for continuum observations with the Effelsberg 100-m telescope. No weather effects influenced the data, so there was no need to apply software beam switching. The maps were subsequently processed using the standard NOD2 reduction package. Radio-frequency interference (RFI) and limited receiver stability, reflecting in baseline variations, were observed for all channels and varied between the different observed maps. Thus, a careful selection of the raw maps was needed to obtain the lowest noise level for the combined map. The emission from the bright quasar J2015+371 at l,b = 74°87,1°22, which is located very near to the western periphery of CTB87, was removed by a Gaussian fit from all single maps and its sidelobe structure was partly removed in the final map; although, some faint residuals remained visible. The eight raw maps from each observation were individually edited for spiky interference. Baseline curvatures were removed by applying the ‘pressing method’ introduced by Sofue & Reich (1979). The maps from the second feed with a constant offset in azimuth of 3’984 were individually transformed into the Galactic coordinate system following the procedure described by Kothes et al. (2017). We finally used the ‘PLAIT’ procedure (Emerson & Grave 1988) to combine reliable maps observed at each of the three nights. PLAIT provides ‘basket weaving’ in the Fourier domain. We note that 55% and 40% of the observed maps were found to have sufficient quality to be used for the combination. The maps provided by PLAIT from the three nights were added to the final 14.7-GHz and 17.3GHz map. The quality of the combined higher-frequency map was lower than that of the lower-frequency map because of less useful observations (see Table 1).

The calibration of the data relied on the mapping of 3C286 and 3C48, where 3C48 served as a secondary calibrator. The assumed flux densities are listed in Table 1, which we derived from the spectral-fit parameters by Ott et al. (1994) and Perley & Butler (2017) for the present centre frequencies.

3 Total-intensity maps of CTB87

The full extent (diameter) of the halo of CTB87 is about 17′, so we reduced the final map size to 20′ × 20′, omitting the outer areas of the larger maps, where less observations resulted in higher noise levels. We noted a weak intensity gradient of the diffuse large-scale Galactic emission across the entire maps, which we removed by subtracting a twisted plane defined by the average signal of the four 3′ × 3′-large edge areas to improve the local zero-level setting of CTB87. The observed 14.7-GHz and 17.3-GHz total-intensity maps are shown in Figs. 1 and 2 at the angular resolution of the 14.7-GHz map of 51″. We determined the rms noise in almost flat regions of the maps and measured 1.1 mJy beam area−1 and 1.6 mJy beam area−1 at 14.7 and 17.3 GHz, respectively.

3.1 Flux densities and integrated spectrum

We integrated the total intensities by enclosing CTB87 and its halo by a polygon. We also performed integration in rings following Kothes et al. (2020). Both methods gave consistent results. We measured integrated flux densities of 4.3 ± 0.4 Jy at 14.7 GHz and 3.9 ± 0.3 Jy at 17.3 GHz. We added these new data to the 74-MHz to 32-GHz data listed in Table 3 of Kothes et al. (2020) by replacing their 14.7-GHz flux density of 2.9 ± 0.4 Jy which is too low. This low flux density resulted from a map size being too small and there being much less sensitivity when compared to the present map. We display the new radio spectrum of CTB87 in Fig. 3. The new data indicate a continuation of the low-frequency spectrum towards frequencies of 18 GHz and the fitted spectral index of α = −0.31 ± 0.02 (S ~ ν) agrees very well with that of Kothes et al. (2020) who fitted a spectral index of α = −0.29 ± 0.02 including data below 10 GHz.

Following Kothes et al. (2020), we separated the small-scale relic component of CTB87 from the much larger-scale extended halo emission via ‘unsharp masking’ (Sofue & Reich 1979) using the same procedure and parameters, that is to say smoothing the maps to 1′.2 and a filter with a 2′.5-wide Gaussian. We derived flux densities of 1.6 ± 0.2 Jy at 14.7 GHz and 1.5 ± 0.2 Jy at 17.3 GHz for the relic and 2.6 ± 0.2 Jy at 14.7 GHz and 2.4 ± 0.2 Jy at 17.3 GHz for the halo component. We show the overall spectrum of the relic component of CTB87 in Fig. 4, where a spectral index of α = −0.43 ± 0.04 was fitted. This, again, agrees very well with that of Kothes et al. (2020, their Fig. 6). The spectrum of the halo component is shown in Fig. 5, which has a spectral index of α = −0.24 ± 0.09.

thumbnail Fig. 1

Colour-coded Effelsberg 14.7-GHz map of CTB87 at 51″ angular resolution. The unrelated strong source, 12015+371 (l, b = 74°.87,1°.22), was removed from the map. The HPBW is indicated in the lower right corner.

thumbnail Fig. 2

As Fig. 1, but showing the colour-coded Effelsberg 17.3-GHz map oî CTB87 smoothed to an angular resolution of 51″ as of the 14.7-GHz map.

3.2 Spectral indices from TT plots

Objects, such as CTB87, with a poorly defined outer boundary may be subject to flux-density integration uncertainties by the zero4evel setting in each map. Thus, we made TT plots (Turtle et al. 1962), which are insensitive to zero4evel settings when comparing maps at different frequencies. It is also required that no intensity gradients be present in different directions, which is the case for the CTB87 maps we used. The slope of the TT plot gives the spectral index between the two frequencies.

We performed TT plots using the 14.7-GHz and 17.3-GHz CTB87 maps both convolved to a common angular resolution of 1′.2. For intensities exceeding 35(30) mJy beam area−1 at 14.7 GHz (17.3 GHz), the TT plot resulted in a spectral index of α = −0.49 ± 0.02 as shown in Fig. 6, which is more reliable compared to the spectral index obtained from integrated flux densities (4.3 Jy/3.9 Jy at 14.7 GHz and 17.3 GHz, see Sect. 3.1.) of α ~ −0.6. However, the spectral index of α = −0.49 ± 0.02 is lower than the overall spectral index of CTB87 with α = −0.31 ± 0.02 (Fig. 3), but close to the overall spectrum of the relic component (Fig. 4). We also made TT plots separately for the relic and the halo component at 14.7 GHz and 17.3 GHz and obtained spectra (see Figs. 7 and 8) for both components. The relic component has a slightly steeper spectrum with a spectral index of α = −0.57 ± 0.01 (Fig. 7), while the halo component’s fit results in α = −0.15 ± 0.02 (Fig. 8), which is close to the overall diffuse spectral index (Fig. 5). These spectral indices are rather similar to those at lower frequencies and confirm the lack of any steepening in this frequency range.

Effelsberg maps of CTB87 at 4.75 GHz and 10.55 GHz were presented and analysed by Kothes et al. (2020). They have angular resolutions of 2′.5 and 1′.2, respectively. We used these maps for TT plots in combination with the new 14.7-GHz and 17.3-GHz maps. We present results for the combination 10.55 GHz with 14.7 GHz at 1′.2 resolution in Fig. 9 and between 4.75 GHz and 10.55 GHz at 2′.5 resolution in Fig. 10.

The spectral indices α vary slightly between the various frequency pairs from −0.49 to −0.67 and are lower than the overall spectral index from the integrated flux densities of α = −0.31 ± 0.02 (Fig. 3). This indicates a dominance of the compact component of CTB87, which has a spectral index of α = −0.43 ± 0.04, as shown in Fig. 4 and α = −0.57 ± 0.01 from the TT plot between 14.7 GHz and 17.3 GHz (Fig. 7). Despite these measured variations, the compact component of CTB87 has a steeper spectrum compared to the diffuse halo component, confirming the analysis of Kothes et al. (2020) at lower frequencies.

Unfortunately, the quality of the 32-GHz map of CTB87 shown by Kothes et al. (2020) is lower than that of all lower-frequency maps. From Figs. 3 and 4, we see that the 32-GHz flux densities are clearly below the extrapolated integrated flux-density spectrum, but in accordance with the compact component spectrum. This indicates missing diffuse-halo emission at 32 GHz, due to low sensitivity and limited map size. We obtained a spectral index for the compact component from the TT plots between the 14.7-GHz and the 32-GHz data at an angular resolution of the 14.7-GHz map of 51″, which results in α = − 0.69 ± 0.23, which is in rough agreement with the lower-frequency results. The accuracy of the separation of the diffuse and compact components is limited and suffered from the low quality of the 32-GHz map, so we do not discuss the results including the 32-GHz components further. More sensitive single-dish observations in the 30-GHz frequency range are required to study the two components in this frequency range.

As mentioned earlier, the AMI observations of CTB87, as reported by Hurley-Walker et al. (2009), suffer from missing large-scale emission, so the listed flux densities are clearly below those measured with single-dish telescopes. From the published, combined 15.75-GHz AMI survey map (Perrott et al. 2013), we measured a halo size of 12′, which is much smaller compared to 17′ measured from our single-dish maps. This proves that our assumption of missing flux density is correct.

thumbnail Fig. 3

Integrated flux-density spectrum of CTB87 including the data from the present observations at 14.7 GHz and 17.3 GHz. Other data were taken from Kothes et al. (2020) and scaled to match the Perley & Butler (2017) flux-density scale.

thumbnail Fig. 4

Integrated flux-density spectrum of CTB87’s compact relic component including data from Kothes et al. (2020) on the Perley & Butler (2017) flux-density scale.

thumbnail Fig. 5

Integrated flux-density spectrum of CTB87’s halo component. The 1.4-GHz and 10.55-GHz data were taken from Kothes et al. (2020) on the Perley & Butler (2017) flux-density scale.

thumbnail Fig. 6

Temperature-versus-temperature plot of CTB87 for the 14.7-GHz and the 17.3-GHz data at an angular resolution of 1′.2.

thumbnail Fig. 7

Temperature-versus-temperature plot of CTB87 for the 14.7-GHz and 17.3-GHz compact component at an angular resolution of 1′.2.

thumbnail Fig. 8

Temperature-versus-temperature plot of CTB87 for the 14.7-GHz and 17.3-GHz diffuse-halo component at an angular resolution of 1′.2.

thumbnail Fig. 9

Same temperature-versus-temperature plot of CTB87 as Fig. 6, but now for the 10.55-GHz and 14.7-GHz data at an angular resolution of 1′.2.

thumbnail Fig. 10

Temperature-versus-temperature plot of CTB87 for the 4.75-GHz and 10.55-GHz data at an angular resolution of 2′.5.

4 Discussion

The aim of the new λ2 cm observations was to clarify whether missing large-scale emission in early high-frequency maps is the reason for the reported spectral break of CTB87 at around 11 GHz. This is clearly the case. The integrated high-frequency flux densities are higher compared to previous results. The spectrum of CTB87 above 14.7 GHz continues with α ~ −0.30, at least to about 18 GHz.

The TT plot spectrum of the relic component is clearly steeper than that of the diffuse 17 halo for frequencies below ~ 10 GHz. We derived a spectral index of α = −0.43 ± 0.03 for the relic component compared to α = −0.24 ± 0.09 for the diffuse outer halo, which needs explanation.

A discussion of the nature and origin of the two components of CTB87 was already presented by Kothes et al. (2020), which remains valid in view of the new observations, and we refer interested readers to that work for details. In brief, the steep radio spectrum of the relic component of CTB87 has similarities with a few other PWN such as DA 495 (Kothes et al. 2008), G76.9+1.0 (Landecker et al. 1997), and G141.2+5.0 (Kothes et al. 2014) and it is believed to be the result of the interaction of the SNR’s reverse shock with the PWN in the presence of a strong magnetic field. Indeed, Kothes et al. (2020) estimated a strong magnetic field component along the line of sight in the range between 350 µG and 580 µG for the compact component of CTB87 from an analysis of polarisation data. The shift of the cooling break frequency to more than 18 GHz, however, reduces the magnetic field strength of the PWN by just 13%, which still implies an unreasonably high magnetic energy (see Fig. 11 of Kothes et al. 2020), such that any break by synchrotron cooling is expected to occur at a much higher frequency.

A flat halo spectrum is difficult to explain by shock-accelerated cosmic-ray electrons, which have a steeper spectrum; instead, it resembles a typical PWN spectrum. The relic’s spectrum is close to that expected for a shock-accelerated cosmic-ray spectrum. The relic component is kidney-shaped with small intensity variations. This morphology does not indicate a SNR shock moving outwards or, in the case of a reverse shock, moving inwards. We note that CTB87 shows a low fraction of polarised emission at 4.75 GHz and 10.55 GHz (see Kothes et al. (2020) for details) with an average fraction of the order of 8% and maximum values around 20% at 10.55 GHz. This indicates a dominating turbulent magnetic field with a smaller regular magnetic field component. The steeper spectrum of the relic component may result from turbulent magnetic fields on small scales causing scattering, preferably for the lower-energy electrons, such that a smaller fraction reaches the halo region when compared to the higher-energy electrons. This ultimately leads to the halo spectrum being flattened as it is observed. Of course, shock-accelerated emission from a reverse shock also enhances the emission from the compact component and mixes with the emission originating from the pulsar-injected electrons. The synchrotron emissivity is clearly larger in the relic component compared to the halo region, when we assume a symmetric source shape. The volume ratio of the relic component when compared with the halo component is about 1/20, while both flux densities are comparable. This means an average emissivity ratio of about 1/20. For the case of the same electron density in the relic and halo component of CTB87, the magnetic field in the halo drops to a level of about 20% to 25% of the relic component’s value when taking the spectral differences of both components into account.

We note some similarity between the averaged radial halo-intensity of CTB87 with that of the PWN G21.5-0.9 (Fürst et al. 1988, Fig. 11); although, the halo of G21.5-09 is about 2.3 pc in size and thus much smaller than the CTB87 halo with about 30 pc. G21.5-0.9 has a compact central component, though of a different morphology compared to CTB87, and a diffuse centrally peaked radio halo with a size of about 2.3 pc for a distance of 4.7 ± 0.4 kpc (Camilo et al. 2006). The halo of G21.5-0.9 has a radial magnetic field and a Bradial/Brandom ratio of about 0.7 to 1. Fürst et al. (1988) could not reconstruct the distribution of the electron density and the magnetic field strength of the halo of G21.5-0.9 well with simple models (their Fig. 6) and concluded that G21.5-0.9 defies the explanation as an expanding synchrotron nebula. A halo model with a constant electron density and a linear decrease in the magnetic field strength from the centre outwards is shown in Fig. 11 for comparison. This is the model with an emissivity profile closest to the observations of G21.5-0.9; although, it clearly does not fit the observations well. This is also the case for the halo profile of CTB87; although, the electron and magnetic field distributions seem to be even more complex when compared to G21.5-0.9.

The halos of the two PWNs G21.5-0.9 and CTB87 have morphological similarities to the TeV halos surrounding Geminga, PSR B0656+14 (located in the Monogem Ring; Abeysekara et al. 2017) and PSR J0622+3749 (Aharonian et al. 2021). However, the size of these TeV halos is on scales of several degrees or about 60 pc and thus about two times larger compared to the halo of CTB87. The TeV halos are believed to be much older than CTB87 and G21.5-0.9. Saha (2016) studied the γ-ray emission of VER J2016+37 being coincident with CTB87 and proposed a broken power-law distribution of electrons to explain the observed radio, X-ray, and TeV data, while a hadronic model requires ambient matter densities exceeding ~20 cm−3, which is not indicated by observations and thus considered to be unlikely. A global study of the Cygnus region based on γ-ray data by Abeysekara et al. (2018), using VERITAS and FERMI observations, also discusses the coincident γ-ray emission with CTB87. Interestingly, the extended diffuse γ-ray emission observed by VERITAS (Abeysekara et al. (2018) their Fig. 20) has a size very similar to that of CTB87’s radio halo, suggesting a common origin of the emitting electrons. The distribution of the γ-ray emission from CTB87 suffers from the overlap with the γ-ray emission from the quasar J2015+371 next to CTB87 and the separation accuracy is limited by the low angular resolution of γ-ray telescopes, so a detailed comparison is currently not meaningful. Abeysekara et al. (2018) were able to fit a single power-law electron spectrum to the CTB87 γ-ray data from VERITAS and FERMI, which is in contrast to the result of Saha (2016).

thumbnail Fig. 11

Halo profiles of CTB87 and G21.5-0.9 compared with a halo model with a constant electron density and radially decreasing magnetic field with Bradial/Brandom = 0.7.

5 Summary

New λ2 cm observations prove that the radio spectrum of the PWN CTB87 is straight, up to ~18 GHz. These observations demonstrate a considerable improvement in receiver technology compared to early single-dish observations of CTB87 at frequencies higher than ~10 GHz. These early maps and also interferometric maps suffer from insufficient sensitivity for faint extended emission. The flat-spectrum halo of CTB87 with a typical PWN spectrum indicates diffusion of electrons outwards from the central object, which has a steeper spectrum, though it is similar to a few other PWNs. We note that the radial emissivity profile of the halo of CTB87 is similar to that of the PWN G21.5-0.9. Both profiles cannot be explained by simple power-law distributions of electrons and magnetic field components. The extent of CTB87’s radio halo is comparable in size with VERITAS emission at TeV energies, suggesting a common origin from the still undetected pulsar in the centre of CTB87.

Acknowledgments

Acknowledgements. Based on observations with the Effelsberg 100-m telescope of the MPIfR (Max-Planck-Institut für Radioastronomie). We like to thank Rohit Dokara for careful reading of the manuscript and the referee, Miroslav D. Filipovic, for valuable suggestions for improvements.

References

  1. Abeysekara, A. U., Albert, A., Alfaro, R., et al. 2017, Science, 358, 911 [NASA ADS] [CrossRef] [Google Scholar]
  2. Abeysekara, A. U., Archer, A., Aune, T., et al. 2018, ApJ, 861, 134 [NASA ADS] [CrossRef] [Google Scholar]
  3. Aharonian, F., An, Q., Axikegu, Bai, L. X., et al. 2021, Phys. Rev. Lett., 126, 241103 [NASA ADS] [CrossRef] [Google Scholar]
  4. Camilo, F., Ransom, S. M., Gaensler, B. M., et al. 2006, ApJ, 637, 456 [NASA ADS] [CrossRef] [Google Scholar]
  5. Emerson, D. T., & Gräve, R. 1988, A&A, 190, 353 [NASA ADS] [Google Scholar]
  6. Fürst, E., Handa, T., Morita, K., et al. 1988, PASJ, 40, 347 [NASA ADS] [Google Scholar]
  7. Guest, B., Safi-Harb, S., MacMaster, A., et al. 2020, MNRAS, 491, 3013 [NASA ADS] [CrossRef] [Google Scholar]
  8. Hurley-Walker, N., Scaife, A. M. M., Green, D. A., et al. 2009, MNRAS, 396, 365 [CrossRef] [Google Scholar]
  9. Kothes, R., Reich, W., Foster, T., & Byun, D.-Y. 2003, ApJ, 588, 852 [NASA ADS] [CrossRef] [Google Scholar]
  10. Kothes, R., Landecker, T. L., Reich, W., Safi-Harb, S., & Arzoumanian, Z. 2008, ApJ, 687, 516 [Google Scholar]
  11. Kothes, R., Sun, X. H., Reich, W., & Foster, T. J. 2014, ApJ, 784, L26 [NASA ADS] [CrossRef] [Google Scholar]
  12. Kothes, R., Reich, P., Foster, T. J., & Reich, W. 2017, A&A, 597, A116 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  13. Kothes, R., Reich, W., Safi-Harb, S., et al. 2020, MNRAS, 496, 723 [Google Scholar]
  14. Landecker, T. L., Zheng, Y., Zhang, X., & Higgs, L. A. 1997, A&AS, 123, 199 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  15. Matheson, H., Safi-Harb, S., & Kothes, R. 2013, ApJ, 774, 33 [NASA ADS] [CrossRef] [Google Scholar]
  16. Morsi, H. W., & Reich, W. 1986, A&A, 163, 313 [NASA ADS] [Google Scholar]
  17. Ott, M., Witzel, A., Quirrenbach, A., et al. 1994, A&A, 284, 331 [NASA ADS] [Google Scholar]
  18. Perley, R. A., & Butler, B. J. 2017, ApJS, 230, 7 [NASA ADS] [CrossRef] [Google Scholar]
  19. Perrott, Y. C., Scaife, A. M. M., Green, D. A., et al. 2013, MNRAS, 429, 3330 [NASA ADS] [CrossRef] [Google Scholar]
  20. Saha, L. 2016, MNRAS, 460, 3563 [NASA ADS] [CrossRef] [Google Scholar]
  21. Salter, C. J., Reynolds, S. P., Hogg, D. E., Payne, J. M., & Rhodes, P. J. 1989, ApJ, 338, 171 [NASA ADS] [CrossRef] [Google Scholar]
  22. Sofue, Y., & Reich, W. 1979, A&AS, 38, 251 [NASA ADS] [Google Scholar]
  23. Turtle, A. J., Pugh, J. F., Kenderdine, S., & Pauliny-Toth, I. I. K. 1962, MNRAS, 124, 297 [NASA ADS] [CrossRef] [Google Scholar]

All Tables

Table 1

Observational parameters.

All Figures

thumbnail Fig. 1

Colour-coded Effelsberg 14.7-GHz map of CTB87 at 51″ angular resolution. The unrelated strong source, 12015+371 (l, b = 74°.87,1°.22), was removed from the map. The HPBW is indicated in the lower right corner.

In the text
thumbnail Fig. 2

As Fig. 1, but showing the colour-coded Effelsberg 17.3-GHz map oî CTB87 smoothed to an angular resolution of 51″ as of the 14.7-GHz map.

In the text
thumbnail Fig. 3

Integrated flux-density spectrum of CTB87 including the data from the present observations at 14.7 GHz and 17.3 GHz. Other data were taken from Kothes et al. (2020) and scaled to match the Perley & Butler (2017) flux-density scale.

In the text
thumbnail Fig. 4

Integrated flux-density spectrum of CTB87’s compact relic component including data from Kothes et al. (2020) on the Perley & Butler (2017) flux-density scale.

In the text
thumbnail Fig. 5

Integrated flux-density spectrum of CTB87’s halo component. The 1.4-GHz and 10.55-GHz data were taken from Kothes et al. (2020) on the Perley & Butler (2017) flux-density scale.

In the text
thumbnail Fig. 6

Temperature-versus-temperature plot of CTB87 for the 14.7-GHz and the 17.3-GHz data at an angular resolution of 1′.2.

In the text
thumbnail Fig. 7

Temperature-versus-temperature plot of CTB87 for the 14.7-GHz and 17.3-GHz compact component at an angular resolution of 1′.2.

In the text
thumbnail Fig. 8

Temperature-versus-temperature plot of CTB87 for the 14.7-GHz and 17.3-GHz diffuse-halo component at an angular resolution of 1′.2.

In the text
thumbnail Fig. 9

Same temperature-versus-temperature plot of CTB87 as Fig. 6, but now for the 10.55-GHz and 14.7-GHz data at an angular resolution of 1′.2.

In the text
thumbnail Fig. 10

Temperature-versus-temperature plot of CTB87 for the 4.75-GHz and 10.55-GHz data at an angular resolution of 2′.5.

In the text
thumbnail Fig. 11

Halo profiles of CTB87 and G21.5-0.9 compared with a halo model with a constant electron density and radially decreasing magnetic field with Bradial/Brandom = 0.7.

In the text

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.