Abstract
We report on the discovery of a mysterious ultra-steep-spectrum (USS) synchrotron source in the galaxy cluster A2877. We have observed the source with the Murchison Widefield Array at five frequencies across 72–231 MHz and found the source to exhibit strong spectral curvature over this range, as well as the steepest known spectra of a synchrotron cluster source, with a spectral index across the central three frequency bands of
. Higher-frequency radio observations, including a deep observation with the Australia Telescope Compact Array, fail to detect any of the extended diffuse emission. The source is approximately 370 kpc wide and bears an uncanny resemblance to a jellyfish with two peaks of emission and long tentacles descending south toward the cluster center. While the “USS Jellyfish” defies easy classification, we here propose that the phenomenon is caused by the reacceleration and compression of multiple aged electron populations from historic active galactic nucleus (AGN) activity, a so-called “radio phoenix,” by an as yet undetected weak cluster-scale mechanism. The USS Jellyfish adds to a growing number of radio phoenix in cool-core clusters with unknown reacceleration mechanisms; as the first example of a polyphoenix, however, this implies that the mechanism is on the scale of the cluster itself. Indeed, we show that in simulations, emission akin to the USS Jellyfish can be produced as a short-lived transient phase in the evolution of multiple interacting AGN remnants when subject to weak external shocks.
1. Introduction
Synchrotron sources typically exhibit power-law behavior in their spectra, such that the observed flux S is related to frequency ν by the relation S ∝ να . The spectral index, α, is typically around −0.7 for the lobes of active galactic nuclei (AGNs), and other mechanisms, such as radio halos, relics, and AGN remnants, have been observed to have spectra as steep as −2. For most of these sources, the spectral index is a well-understood parameter that results from the original injection energy and the aging dynamics of the system.
With the advent of new low-frequency telescopes, in particular the Murchison Widefield Array (MWA; Tingay et al. 2013) and the LOw Frequency ARay (LOFAR; van Haarlem et al. 2013), it was widely expected that we would uncover a large, hitherto undetected population of ultra-steep-spectrum (USS) sources only detectable at low frequency (e.g., Enßlin & Röttgering 2002; Cassano et al. 2012, 2015; van Weeren et al. 2019). It was believed that traditionally higher-frequency radio observations introduced an observational bias against sources whose spectra rapidly declined in luminosity with frequency. But these expectations have not been realized. Instead, it appears that the conditions required to produce low-frequency USS synchrotron emission are not particularly common. And for those that we have found, it is all the more important for us to understand the unique conditions that make them possible.
To date, the steepest reported source is in A1033, the so-called “Gently ReEnergised Tail” (GReET; de Gasperin et al. 2017), with an integrated spectral index α = −3.86(3). The GReET is composed of ancient plasma originally ejected from a wide-angle tail radio galaxy and since reaccelerated. The reacceleration mechanism remains unknown, but the authors considered two scenarios: adiabatic compression due to weak shocks and stochastic reacceleration driven by complex turbulence in the tail and interaction with the surrounding intracluster medium (ICM). In this particular instance, they concluded that the latter scenario was more likely. The spectral steepness of the GReET was so steep that it was only visible at low frequency and became undetectable above 323 MHz.
The GReET is a kind of radio phoenix, which is a class of synchrotron sources that arises from the reacceleration of ancient but still mildly relativistic (γ > 100) “fossil” electron populations, usually old AGN cocoons or remnants. Other examples include phoenix in A1664 (e.g., Kale & Dwarakanath 2012), A2256 (van Weeren et al. 2009), and, recently, A1914 (Mandal et al. 2019). In radio phoenix, the underlying fossil electron population is not well mixed with the ICM, and their morphology usually traces out the underlying AGN lobes or tails, albeit made more complex due to diffusion, buoyancy effects, turbulence, and the reacceleration mechanism itself. Radio phoenix rely on a mechanism to reignite an otherwise aged and faded AGN remnant, and adiabatic compression has been suggested as one of these mechanisms (Enßlin & Gopal-Krishna 2001), possibly caused by cluster–cluster interaction. In most radio phoenix to date, however, there is no evidence of shocks, and some are even found in relaxed cool-core clusters, implying that major merger events are not required as a trigger. Other mechanisms have been suggested, such as the proposed cool-core “sloshing” in the Ophiuchus cluster to account for its giant radio fossil (Giacintucci et al. 2020). Radio phoenix are typically found close to the central cluster region and are usually a few hundred kiloparsecs in size (Feretti et al. 2012). They often exhibit USS (α < −1.5) and display spectral curvature, and their spectral index maps typically do not indicate large-scale coherence or trends (see van Weeren et al. 2019 and references therein).
Here we report on the discovery of a diffuse USS radio source to the northwest of A2877, also likely a radio phoenix. The source spans ∼740″ in width, has two bright peaks of emission associated with cluster members, and has tentacles of emission that extend south toward the cluster core, giving the impression of a jellyfish. The “USS Jellyfish” was first detected in images from the Galactic and Extra-galactic All-sky MWA survey (GLEAM; Wayth et al. 2015) by searching for steep-spectrum sources. Due to its extreme spectral steepness, it had no detectable counterpart in the highest-frequency GLEAM images centered at 200.5 MHz and thus did not form part of the original GLEAM catalog (Hurley-Walker et al. 2017). GLEAM was conducted with the lower-resolution phase I of the MWA (Tingay et al. 2013), resulting in a blended source that made determining its morphology difficult. This prompted the follow-up radio observations we present here with the higher-resolution MWA phase II (extended configuration; Wayth et al. 2018) and the Australia Telescope Compact Array (ATCA; Frater et al. 1992), as well as reprocessed archival XMM-Newton X-ray observations.
Throughout, we assume a flat ΛCDM cosmology with Hubble constant h = 0.677 and matter density Ωm = 0.307, of which the the baryonic density is Ωb = 0.0486. All coordinates are with respect to the J2000 epoch. All stated errors indicate one standard deviation.
1.1. A2877
From the southern catalog of Abell (1989), A2877 is a nearby low-mass cluster in the southern sky at a redshift of z ≈ 0.0238, an estimated mass M500 = 7.103 × 1013 M⊙, and radius r500 = 0.6249 Mpc (Piffaretti et al. 2011). The cluster was classified by Abell as “poor,” having a richness class R = 0. It was also cataloged earlier as DC 0107–46 in Dressler (1980), where it was suggested that, in fact, it may form a single cluster with nearby A2870 (DC 0103–47), which is centered approximately 4.9 Mpc away.
The cluster has two distinct substructures, a core and a substructure to the north, which have been identified from optical data of members of the cluster (Girardi et al. 1997; Flin & Krywult 2006).
Cluster A2877 has previously been the subject of radio observations with ATCA at 1.4 GHz as part of the Phoenix Deep Survey (Hopkins et al. 2000). This study detected 15 cluster members at this frequency, of which 14 had spectroscopic observations. These spectra allowed for the classification of six of these galaxies as low-luminosity AGNs, one as a Seyfert 2 galaxy, two as star-forming, and the remaining five indeterminately star-forming, low-luminosity AGNs, or both. The cluster was otherwise radio-quiet.
2. Data and Methods
2.1. ATCA
On 2018 January 16 and 17, A2877 was observed with ATCA across two observation windows for a total of 11 hr. The observations were undertaken at a central frequency of 2.1 GHz with a bandwidth of just over 2 GHz; however, due to radio frequency interference, this band was later truncated below 1325 MHz. The observations were conducted in the 750A configuration, which consists of baselines ranging from 77 to 750 m, with an additional set of baselines ranging in length from 3015 to 3750 m produced by the inclusion of the distant, fixed-position sixth antenna. These shortest baselines give angular sensitivity up to scales of ∼9′ at 1.5 GHz, sufficient to detect the large-scale features of the USS Jellyfish.
Initial calibration and flagging were performed with the miriad suite of tools (Sault et al. 1995). The primary calibrator for each observation window was PKS 1934–638, and a secondary calibrator, PKS 0048–427, was observed periodically throughout to ensure phase calibration. We imaged the observation using WSClean (Offringa et al. 2014) and the new WGridder back end (Arras et al. 2021). The band was separated into four equally sized output channels using its multifrequency synthesis algorithm (Offringa & Smirnov 2017), the baselines were weighted using the Briggs scheme with robustness parameter zero, and cleaning was performed down to the image noise inside a mask set at a factor of 3 times the noise. Three rounds of phase-only self-calibration were performed using CASA (McMullin et al. 2007) before producing the final images (see Table 1).
Table 1. Radio Observations and Respective Image Properties
| Frequency | Weight | Resolution | PA | Noise | |
|---|---|---|---|---|---|
| MHz | mJy beam−1 | ||||
| MWA | 87.5 | 0 | 151 × 97″ | 150° | 4.9 |
| 118.5 | 0.5 | 123 × 87″ | 150° | 1.9 | |
| 154.5 | 1 | 108 × 83″ | 150° | 1.3 | |
| 185.5 | 1 | 93 × 68″ | 151° | 0.91 | |
| 215.5 | 1 | 77 × 58″ | 151° | 0.86 | |
| ATCA | 1548.5 | 0 | 11.8 × 4.1 ″ | 15° | 0.024 |
| 1998.5 | 0 | 10.1 × 3.4″ | 19° | 0.023 | |
| 2448.5 | 0 | 8.6 × 2.8″ | 19° | 0.027 | |
| 2899 | 0 | 8.0 × 2.5″ | 17° | 0.030 | |
Note. The MWA observations occurred in 2018 August for a duration of 2.4 hr with 30.72 MHz bandwidths. The ATCA observations occurred in 2018 January for a duration of 14 hr and have been imaged here with bandwidths of 448 MHz. The baseline weight value refers to the Briggs robustness parameter, and the position angle (PA) of the beam is measured north through east.
Download table as: ASCIITypeset image
2.2. MWA
The MWA observed A2877 in its phase II extended configuration from 2018 August 4 to 14. The observations spanned a bandwidth of 30.72 MHz and were centered variously at 87.5, 118.5, 154.5, 185.5, and 215.5 MHz. The cluster was observed in 2 minute long “snapshots” cumulatively for about 2.4 hr at each frequency band.
All calibration was performed using an in-field model, in contrast to traditional primary calibration workflows. The radio sky model used here was derived from the GLEAM catalog (Hurley-Walker et al. 2017) and consisted of the few hundred sources in the field that had an apparent brightness of 1 Jy or more. These sources were predicted into model visibilities based on the primary beam model (Sokolowski et al. 2017) and subsequently used as the model to obtain the calibration Jones matrices. 8 The calibration was checked after imaging by source finding on the final mosaics and comparing with the input catalog; the median flux ratio for each band was 1.00(1), and the spread was ≤3%.
Imaging was performed using WSClean on individual 2 minute snapshots. This is necessitated by the time-dependent phased-array beam of the MWA, such that 2 minutes is about as long as we can safely assume a constant beam. The images were produced by splitting the 30.72 MHz bandwidth into four equally sized subbands and deconvolved using multiscale cleaning. Each snapshot was phase-rotated to a common phase center and imaged onto a common projection. The final mosaics were produced by the following process: (i) each of the residual images, clean component images, and point-spread function (PSF) images were stacked and weighted inversely by the square of the mean noise of the snapshot and the local beam response; (ii) the stacked PSF was fitted with an elliptical Gaussian; and (iii) this Gaussian was used to convolve the stacked clean components before being recombined with the stacked residuals.
Imaging and cleaning on 2 minute intervals poses significant problems for faint sources. Faint sources remain buried in the noise of individual snapshots and are therefore not cleaned; they only rise to the level of detection when the residuals are themselves stacked. To mitigate this problem, we performed a final joint deconvolution step on the combined mosaics, performing an image-based clean with the combined PSF. The effect of this additional clean procedure was most marked on the lowest band, for which we saw an approximately 20% increase in recovered flux for the USS Jellyfish; on the higher bands, this effect was negligible.
The final weighting, resolution, and noise properties are described in Table 1. The noise properties of these mosaics are the lowest published to date with the MWA and thus provide excellent upper thresholds for detecting the steep radio emission present in A2877.
2.3. Spectral Index and Image Map
The integrated flux of the USS Jellyfish was calculated by using a mask that extended out to the 1σ boundary of the USS Jellyfish in the 87.5 MHz image and summing the flux for each respective MWA image over this mask. Embedded point sources were subtracted from the integrated sum, where their respective flux density was estimated based on fitting simple power-law functions to measurements from all four ATCA bands, the 887 MHz Rapid ASKAP 9 Continuum Survey (RACS) mosaic (McConnell et al. 2020), and the 215.5 MHz MWA image (see Table 2). To be included, point sources required a detectable counterpart at the 1.5σ level in the highest-frequency MWA image to help constrain the measurement and filter sources that exhibited a turnover at higher frequencies. Errors were calculated in quadrature based on 5% absolute flux error, 10% point-source error, and local map noise. The local map noise dominates the measurements at the highest frequency due to the large area over which the flux is summed and the proportionally faint emission present.
Table 2. Radio Point Sources that Overlap with the Integrated Flux Mask
| R.A. | Decl. | S200 | Spectral Index | Label |
|---|---|---|---|---|
| (deg) | (deg) | (mJy) | ||
| 17.269 | −45.77 | 12.2(2) | −0.47(1) | A |
| 17.443 | −45.78 | 5.4(5) | −0.85(2) | B |
| 17.480 | −45.93 | 6.4(11) | −0.66(4) | cD |
| 17.444 | −45.83 | 4.4(11) | −0.40(6) | E |
Note. Values are derived from fitting a power law to RACS, ATCA, and the 215.5 MHz MWA image.
Download table as: ASCIITypeset image
Spectral index values, both multiband and pairwise, have been calculated using a bootstrapping technique with 100,000 samples to propagate errors. Stated values represent the median value over all samples, and errors indicate the 15.9th and 84.1st percentile values. In the case where the lower error bounds produce negative flux values, we have included only the 84.1st percentile value as an upper bound.
The spectral image map was produced from the lowest three MWA bands at 87.5, 118.5, and 154.5 MHz; the higher band images were not used, as they contained little of the extended diffuse emission. The snapshots at these three bands were imaged with identical pixel resolution, projection, and phase center so as to avoid having to resample and interpolate later. The images were convolved to the common resolution of the 87.5 MHz image. We then employed a bootstrapping technique with 1000 samples to estimate the spectral index and associated error for each pixel across the three images. Point-source subtraction was not performed.
2.4. XMM-Newton
The XMM-Newton observation of A2877 consists of six pointings taken using the European Photon Imaging Camera (Strüder et al. 2001; Turner et al. 2001) for a total exposure time of 475 ks. 10 Each observation was reduced using the Science Analysis System version 18.0.0 and applying the latest calibration files available as of 2019 December. We removed from the analysis observation intervals affected by flares following the procedures described in Pratt et al. (2007), yielding 420 ks of useful time. The pointings were combined to maximize the signal-to-noise ratio. Exposure maps, models of the sky, and instrumental background were computed as described in Bourdin & Mazzotta (2008), Bourdin et al. (2013), and Bogdán et al. (2013). Finally, we identified and removed point sources using the wavelet detection technique of Bogdán et al. (2013).
Unfortunately, the northwest sector of the cluster that hosts the USS Jellyfish is covered by only a single pointing with low exposure time. For this reason, the brightness and temperature maps are not sufficiently deep to investigate the presence of faint or subtle features.
3. Results
We present the USS Jellyfish in Figure 1 as a composite image combining the optical Digitized Sky Survey (background) with wavelet-cleaned XMM X-ray data (magenta overlay) and MWA 118.5 MHz radio data (red-yellow overlay). Blue circles indicate known radio-emitting cluster sources from Hopkins et al. (2000), while blue diamonds indicate probable cluster members based on available redshift data. The X-ray emission shows the core overdensity of A2877, to which the radio emission is offset to the northwest. The radio emission resembles a jellyfish, with western and eastern peaks of emission in the head, and likewise western and eastern tentacles that descend south toward the cluster core. The full angular extent of the USS Jellyfish from east to west is ∼740″, which at the redshift of A2877 corresponds to ∼370 kpc in projection.
Figure 1. Composite image of the USS Jellyfish in A2877 showing the optical Digitized Sky Survey (background) with XMM X-ray data (magenta overlay) and MWA 118.5 MHz radio data (red-yellow overlay). Contours are provided for the MWA overlay ranging from 7.3 mJy beam−1 and increasing by factors of
, but for clarity, they are restricted only to the USS Jellyfish proper. Blue circles indicate cluster radio sources from Hopkins et al. (2000), and blue diamonds indicate positions of other probable cluster members based on redshift proximity.
Download figure:
Standard image High-resolution imageFigure 2 shows the emergence of the USS Jellyfish from near undetectability at 215.5 MHz to an integrated flux of 1.10(15) Jy at 87.5 MHz, approximately 275 times more luminous. At this lowest frequency, the integrated flux corresponds to a total radio luminosity of L87.5MHz = (1.59 ± 0.22) × 1024 W Hz−1, assuming a redshift z = 0.0238.
Figure 2. The MWA images of the USS Jellyfish across all five bands. Positive contours start at 3σ, increase by factors of
, and are indicated by solid white lines. Negative contours start at −3σ, scale similarly, and are indicated by dashed white lines.
Download figure:
Standard image High-resolution imageThe steepness of the spectra is extreme and shows significant curvature, as can be seen in Figure 3. This figure shows the integrated flux measured in each band, linearly interpolated (gray dashed line), while Table 3 additionally provides pairwise spectral indices. If we attempt a power-law fit (S ∝ να
) to the three central bands, we find a spectral index value of
.
Figure 3. Plotted values of the integrated flux of the USS Jellyfish, which make the curvature apparent. By fitting a power law across the central three frequencies (red), we find a spectral index value of
.
Download figure:
Standard image High-resolution imageTable 3. The Integrated Flux of the USS Jellyfish at Each MWA Band and Pairwise Spectral Indices
| Frequency | Flux Density | Spectral Index |
|---|---|---|
| MHz | Jy | |
| 87.5 | 1.10 ± 0.06 |
|
| 118.5 | 0.57 ± 0.03 |
|
| 154.5 | 0.16 ± 0.01 |
|
| 185.5 | 0.038 ± 0.008 |
|
| 215.5 | 0.003 ± 0.007 |
Note. We provide only an upper bound for the highest-frequency pairwise spectral index, as the integrated flux measurement at 215.5 MHz is consistent with zero.
Download table as: ASCIITypeset image
Unsurprisingly, higher-frequency observations show no extended emission that is coincident with the USS Jellyfish. The previously stated spectral index would give a total integrated flux at 887 MHz of just 4 μJy. Thus, at 887 MHz, the respective RACS mosaic, with a local noise of 220 μJy beam−1, shows no emission besides point-source emission from A2877 galaxy members; additional convolution steps to emphasize extended diffuse emission also do not reveal any signal. Similarly, the lowest-frequency band of our ATCA observation at 1548.5 MHz, with a local noise of 52 μJy beam−1, does not reveal any of the extended emission of the Jellyfish, nor do the higher-frequency ATCA bands.
There are three radio-emitting members of A2877 entangled in the USS Jellyfish that are detectable in the 215.5 MHz MWA image, and there is a fourth background source. In Figure 4, we show the combined ATCA observation centered at 2223.5 MHz overlaid with contours from the MWA at 215.5 and 118.5 MHz. In the highest-frequency MWA image, we identify two sources of emission, labeled A and B, that at lower frequencies are closely associated with the bright western and eastern peaks at the head of the USS Jellyfish. At 215.5 MHz, the radio emission at A and the E/S0 galaxy ESO 243 G 045 are well aligned. There is evidence of a slight southeast elongation of the emission, and indeed, at lower frequencies, the western peak shifts slightly southeast from A. Source B is offset slightly to the southwest of S0 galaxy WISEA J010946.55–454657.4. The northwest alignment of the emission of source B at 215.5 MHz remains visible at lower frequencies, suggesting continuity of the emission source. Hopkins et al. (2000) had previously classified both of these radio sources: ESO 243 G 045 as a low-luminosity AGN and WISEA J010946.55–454657.4 unambiguously as a Seyfert 2 galaxy. Source cD is the central cluster galaxy, IC 1633, and in the lower-frequency bands, the western tentacle bridges this source to the rest of the emission. It is identified by Hopkins et al. (2000) as hosting an AGN, and both their ATCA observation and ours show nearby faint emission to the northeast that may indicate a small jet. A background radio galaxy (z = 0.545; Afonso et al. 2005) with resolved ∼15″ jets is also visible in the MWA images and is labeled E.
Figure 4. Combined ATCA observation centered at 2223.5 MHz with full 1.8 GHz bandwidth. For display purposes, it is convolved down to a circular 15″ resolution, giving a local rms noise of 28 μJy beam−1. The color scale ranges from −0.1 to 0.5 mJy and is set to saturate the majority of the ATCA sources. Contours show MWA 118.5 (blue) and 215.5 (red) MHz. The labels indicate three cluster members: (A) ESO 243 G 045, (B) WISEA J010946.55–454657.4, and (cD) IC 1633. Additionally, (E) indicates the position of a background radio galaxy.
Download figure:
Standard image High-resolution imageThe spectral index map (Figure 5) shows no overall trend in the spectral index values across the full extent of the emission. Instead, we observe a patchwork of islands of shallower emission, surrounded by more diffuse and steeper emission. Both the western and eastern peaks of emission at the head of the USS Jellyfish are associated with flatter spectra, as is the emission coincident with the cD galaxy itself and the background radio galaxy E. Note that the lower spectral index values at the western and eastern peaks are not simply caused by a bias introduced from point sources A and B, since both are offset to their respective galaxy counterparts. The rest of the extended emission has a spectral index of around −4, and at some edges and along the western tentacle, the spectrum tends steeper still.
Figure 5. Spectral image map calculated across the lowest three MWA bands, with the locations of point sources from Table 2 indicated with white crosses. The map shows cocoons of shallower-spectrum emission slightly offset from points A and B, as well as aligned with points cD and E, while elsewhere, we observe much steeper emission. Left: spectral index values. Right: respective error map generated using a bootstrapping method.
Download figure:
Standard image High-resolution imageFrom the X-ray, we observe that A2877 strongly resembles a cool-core cluster, with the core being X-ray bright and having a temperature of ∼2 keV. In Figure 6, we show the exposure-corrected and background-subtracted X-ray surface brightness profile of the northwest sector in the 0.5–2.5 keV band (blue points) alongside the radio surface brightness profile of the USS Jellyfish at 118.5 MHz (dashed gray line). There is no evidence for a shock or cold front in this sector; however, it remains possible that this is due to the poor data in this sector or that the feature is intrinsically faint due to projection effects.
Figure 6. Top: wavelet denoised map of the XMM-Newton image in the 0.5–2.5 keV band produced following Bourdin et al. (2004), with overlay from MWA 118.5 MHz (dashed white lines). Dashed red lines indicate the extent of the northwest sector. Bottom: X-ray count density (blue points) and the MWA 118.5 MHz mean surface brightness (dashed gray line) throughout the northwest sector as a function of radial distance from the cluster core. There is no indication of a shock or cold front.
Download figure:
Standard image High-resolution image4. Discussion
The USS emission on cluster-sized scales points to only a handful of plausible mechanisms to account for its spectral steepness: radio relics and halos, AGN remnants, and reaccelerated AGN plasma or “phoenix.”
11
We can readily discount halos, as the emission is significantly offset from the cluster core, and radio halos trace the baryonic content of the cluster. Radio relics trace large-scale cluster shocks and usually appear toward the periphery of a cluster, although they have been observed more centrally. Relics have values for α of typically −1 to −1.5 and often display large-scale coherency in their spectral index map, indicating the direction of the shock, which we do not observe here. Their morphology is usually long and narrow, as they trace the bow of the shock. The spectral index of a relic is related to the shock strength and, assuming diffusive shock acceleration (DSA) on a purely thermal plasma and a conservatively shallow value of αinj < −3, we find a shock Mach number
.
12
Modeling of DSA by Hoeft & Brüggen (2007) shows that the efficiency of electron acceleration is strongly dependent on the Mach number, and for shocks
, their models show a rapid and exponential decrease in this efficiency. In the case of the USS Jellyfish, and without recourse to a significant fossil electron population (e.g., see models by Kang & Ryu 2011; Pinzke et al. 2013), such a truly gentle shock is an exceptionally inefficient electron accelerator. For these reasons, we deem the radio relic hypothesis unlikely.
An AGN remnant is another potential scenario, as models for synchrotron aging predict a steepening spectral index, increasing spectral curvature, and decreasing “break frequency” (e.g., Kardashev 1962; Pacholczyk 1970, “KP model”; Jaffe & Perola 1973, “JP model”). None have been observed to be as steep as observed here; however, it is possible that we are observing the remnant in a frequency range above the break frequency. If we assume the break frequency to be <70 MHz and the cluster magnetic field strength to be in the range of ≈0.01–1 μG, 13 we find a synchrotron age for the USS Jellyfish of at least 24–220 or 53–490 Myr, based on the KP and JP models, respectively. This is significantly older than any known AGN remnant, and indeed, recent simulations suggest rapid cooling and dimming of radio lobes after AGN shutoff due to adiabatic losses on the order of just millions of years (Godfrey et al. 2017; English et al. 2019). It is unlikely that the USS Jellyfish is an undisturbed AGN remnant.
Instead, our principal hypothesis is that it is far more likely that the USS Jellyfish is composed of multiple radio phoenix—a polyphoenix—triggered by a common large-scale shock or compression occurring to the northwest of A2877. The strongest evidence for this consists of the western and eastern peaks of emission and their association with nearby point sources A and B, respectively. Both peaks are the least steep components of the spectral image map, indicating a cocoon of younger, more energetic electrons that envelop cluster members ESO 243 G 045 and WISEA J010946.55–454657.4. We suggest that the shallower-spectrum component at the western peak, though it is offset to the southeast of source A, is directly related to emission from ESO 243 G 045. We also suggest that the elongated eastern peak is the product of a pair of weak AGN jets originating from source B, WISEA J010946.55–454657.4; the slight offset likely indicates that this activity was historic. Moreover, the eastern spur of the jellyfish head can be explained by deflection of the southeastern jet of source B by the denser, more central ICM. While both electron populations would have rapidly dimmed if unperturbed, we suggest that they have been compressed and reignited by some external mechanism(s).
The large-scale, more diffuse emission of the USS Jellyfish, as well as its tentacles, remains difficult to explain. The eastern extension from ESO 243 G 045 that is visible at 185.5 MHz is suggestive of either a lobe from a previously active epoch of AGN activity or a tail. If it is the latter, one plausible explanation is that both tentacles are the reenergized tail of ESO 243 G 045 that sweeps south toward the core of the cluster. An alternative explanation would be to invoke the cD galaxy IC 1633 as a third electron source, since the western tentacle, and to some degree the eastern, establishes a bridge of emission to this source.
The fact that multiple disparate electron populations have been reaccelerated strongly suggests a common large-scale reacceleration mechanism. As the XMM observation shows, there is presently no evidence of a shock in the northwest sector; moreover, it appears that A2877 is a relaxed, cool-core cluster and therefore unlikely to be currently subject to disruptive merger events or other large-scale structure formation processes that could trigger such a large-scale shock. Cool-core sloshing, which is identified in the X-ray by the presence of spiral or arc-shaped cold fronts about the central core, is an alternative mechanism that is triggered by instabilities acting upon the deep gravitational well at the centers of cool-core clusters (e.g., see Ascasibar & Markevitch 2006; Ghizzardi et al. 2010; Vazza et al. 2012). Indeed, the previously identified northern substructure in A2877 may provide just such an instability. While this mechanism has typically been invoked to explain centrally located “mini-halos” (e.g., Giacintucci et al. 2014), cold fronts associated with cool-core sloshing have been observed up to 1 Mpc away (Simionescu et al. 2012; Rossetti et al. 2013). However, until we can obtain both high-resolution and high-sensitivity X-ray observations of the cluster, the existence and nature of any shocks in the system must remain purely speculative.
Of special note, the spectral index map of the USS Jellyfish indicates spectra that are still strongly correlated with the original plasma age. In a standard DSA scenario, a strong shock would have imprinted the strength of the shock itself on the spectrum of the plasma and would display the same kind of large-scale coherence observed in the spectral index maps of many relics. We can thus infer a particularly gentle shock, and, based on our current understanding of DSA physics and the inefficiency of weak shocks, we can also infer the existence of a significant population of suprathermal electrons throughout the northwest sector of A2877, further reinforcing the phoenix hypothesis. Additionally, adiabatic compression of AGN cocoons akin to that originally described in Enßlin & Gopal-Krishna (2001) is another complimentary mechanism. Indeed, due to the higher speed of sound in the cocoon environment, shock waves will only poorly penetrate the AGN cocoons, and DSA would thus be of negligible effect. Their modeling suggests that adiabatic compression can boost the luminosity of the AGN cocoons without a significant flattening of the original spectrum, thus preserving the underlying aged spectra. Such compression, however, is unlikely to explain the large-scale diffuse radio emission observed exterior to the AGN cocoons. We also raise the possibility of a third reacceleration mechanism, local turbulence in the wake of a weak shock between interacting AGN lobes, powering Fermi II acceleration processes.
To explore a possible formation scenario for the USS Jellyfish, we turn to a recent suite of magnetohydrodynamical simulations by Vazza et al. (submitted). In one of these scenarios, we have identified a polyphoenix akin to the USS Jellyfish as a transient feature in the evolving ICM. In these simulations, light jets (i.e., filled by hot gas and magnetic fields) were released by AGN particles in the simulation within a forming galaxy cluster with a total mass of M100 ≈ 1.5 × 1014
M⊙. For the runs used in this comparison, the AGN jets were initiated at the same epoch for the four most massive AGNs in the simulation, all located within ∼Mpc3 (comoving) and each releasing ∼1057 erg of feedback energy into the surrounding medium in the form of kinetic, thermal, and magnetic energy. The model for the spectral energy evolution of relativistic electrons is similar to the one presented in Vazza et al. (2021) and we describe it briefly here. The spatial propagation of relativistic electrons injected by AGNs is followed in postprocessing using a Lagrangian advection algorithm, as detailed in Wittor et al. (2020). The spectral energy evolution is modeled by numerically integrating Fokker–Planck equations of an initial power-law distribution of electron momenta, N(γ) ∝ γ−2, in the range of
and
(where γ is the Lorentz factor of electrons). We consider continuous energy transfer via synchrotron emission, inverse Compton scattering, Coulomb collisions, adiabatic compression/expansion, and injection and reacceleration of electrons from shock induced DSA (e.g., Kang et al. 2012). The AGNs produced by such a model are compatible with FR II morphologies and start with a radio luminosity of ∼1040–1041 erg s−1 Hz−1 at 120 MHz. The lobes of these AGNs spatially evolve by diffusing into the ICM and rapidly fade in the radio band due to adiabatic losses and radiative cooling, except when perturbations in the ICM reaccelerate fossil electron spectra via adiabatic compression and, most importantly, DSA processes. Turbulent reacceleration processes have not been included.
By visually inspecting the radio emission maps of all snapshots in the simulation, we identified a short (∼100–250 Myr) evolutionary stage, some 2.2 Gyr after the original AGN outburst, during which the aging lobes released by three of the four AGNs produced a radio morphology that loosely resembles the USS Jellyfish in extent, total power, and radio spectral slope.
14
In the epochs prior, the AGN lobes rapidly dimmed; however, a confluence of factors causes a transient rebrightening coinciding with the mixing of three of the four ancient lobes at the same time as the passing of several weak shocks (
) triggered by both cluster growth and interactions of the AGN lobes themselves. The top panel of Figure 7 shows the contours of radio emission at 120 MHz from this snapshot if the source were placed at the same distance as A2877, with contours marking ≥7 mJy beam−1 regions, while the colors give the spectral index in the 87–150 MHz frequency range. At least qualitatively, the detectable emission in the simulated emission map resembles the complex shape of the real USS Jellyfish, including its elongated threads and radio substructures in the “head.” The spectral index map has a rather uniform distribution with α ∼ −3, with some patches of steeper emission in the threads. This model takes into account the role of weak shock (re)acceleration in the ICM, driven by matter accretion events that took place in the host cluster after the injection of jets. The middle panel shows the same snapshot but without “cluster weather”—that is, excluding all ICM interactions, such as weak shocks induced by gas motions associated with cluster growth—and points to the necessity in this particular case for these external mechanisms to draw out the tentacles and filamentary structures. The bottom panel shows the dark matter density, which, as a proxy for the location of galaxies in the simulation, shows that three of the peaks in the radio emission still closely align with their host galaxies, even after significant evolution of the system.
Figure 7. Top: simulated radio emission contours at 120 MHz for our baseline model for electrons. Contours start at 7 mJy beam−1 and increase by factors of
. The emission has been convolved to the stated resolution of the MWA 118.5 MHz image, 123″ × 87″, and the spatial scale in the image is 5 kpc pixel–1. Middle: same as the top panel but without the inclusion of “cluster weather.” Bottom: dark matter density, where concentrations indicate the presence of galaxies and show the approximate alignment of radio peaks with their original host galaxies.
Download figure:
Standard image High-resolution imageThis simulation tentatively suggests that multiple aging and interacting AGN plasmas, alongside weak shock-induced adiabatic compression and DSA, are a plausible and sufficient explanation for diffuse and very steep cluster emission like the USS Jellyfish, and that alternative mechanisms, such as those developed to explain the GReET, are not necessarily required here. The simulation also shows the potential rarity of the scenario due to both its short-lived, transient nature in a lengthy 2.2 Gyr evolution and the requirement for an otherwise radio-quiet cluster across the remainder of that evolution.
5. Conclusion
We have reported on the discovery of the steepest-spectrum synchrotron source to date, the USS Jellyfish, which lies to the northwest of the cluster A2877. We have argued that the source is a polyphoenix: that is composed of multiple aged and mixed AGN populations reaccelerated by a common large-scale event. The currently available X-ray data do not show the presence of cold fronts, sloshing, or other shock systems in the cool-core cluster; however, the quality of these data likely means that weak shocks are undetectable. We have also presented recent magnetohydrodynamic simulations showing that a combination of weak shocks inducing standard DSA and adiabatic compression and acting upon ancient interacting AGN plasmas are capable of producing diffuse, USS emission akin to the USS Jellyfish without recourse to other, more exotic (re)acceleration mechanisms. These same simulations show that the USS Jellyfish may also be a short-lived, transient phase in the evolution of the system.
Follow-up work on A2877 should make high-sensitivity and high-resolution X-ray observations of A2877 a priority in an effort to discern the presence and nature of any shocks in the northwest and detect telltale signs of cool-core sloshing that may be present. Additionally, both higher-resolution and higher-sensitivity radio observations of the USS Jellyfish may provide us with a better picture of its morphology; however, the incredible steepness of its spectrum makes follow-up observations above 300 MHz unlikely to detect any of the extended emission. We may have to wait for the development of SKA Low for a higher-resolution, low-frequency telescope able to observe so far south.
The authors thank Benjamin Quici for helpful discussions during the preparation of this manuscript. This scientific work makes use of the Murchison Radio-astronomy Observatory, operated by CSIRO. We acknowledge the Wajarri Yamatji people as the traditional owners of the observatory site. Support for the operation of the MWA is provided by the Australian Government (NCRIS) under a contract to Curtin University administered by Astronomy Australia Limited. We acknowledge the Pawsey Supercomputing Centre, which is supported by the Western Australian and Australian Governments. The Australia Telescope Compact Array is part of the Australia Telescope National Facility, which is funded by the Australian Government for operation as a National Facility managed by CSIRO. F.V. acknowledges financial support from the ERC Starting grant MAGCOW, No. 714196. The cosmological simulations in Section 4 were performed with the ENZO code (http://enzo-project.org) under projects “stressicm” and “hhh44” at the Jülich Supercomputing Centre (PI: F. Vazza). D.W. is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) 441694982.
Footnotes
- 8
This work is the first published work to use an updated and significantly faster reimplementation of the MWA calibration software, which is publicly available at https://github.com/torrance/MWAjl.
- 9
Australian Square Kilometre Array Pathfinder.
- 10
Observation IDs 0801310101, 0693060401, 0693060301, 0655510201, 0560180901, and 0204540201.
- 11
See van Weeren et al. (2019) for an excellent review of each of these phenomena.
- 12
It should be noted that Mach numbers derived from radio and X-ray typically disagree, and values derived from radio are overestimated when compared to those derived from X-ray. See review discussion in van Weeren et al. (2019).
- 13
- 14
Movies of the evolution of radio emission in these simulations are available at https://vimeo.com/491986204 and https://vimeo.com/491983312.











