Open Access
Issue
A&A
Volume 696, April 2025
Article Number A132
Number of page(s) 8
Section Planets, planetary systems, and small bodies
DOI https://doi.org/10.1051/0004-6361/202553884
Published online 11 April 2025

© The Authors 2025

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.

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1 Introduction

V1298 Tau is an infant star of 20±10 Myr located at a distance of 108.5±0.7 pc (e.g. Suárez Mascareño et al. 2021). After the discovery of a compact multi-planetary system observed by the Kepler/K2 space telescope (David et al. 2019), it has become an interesting target for multi-instrument multi-wavelength follow-up, and it is object of several characterisation studies (e.g. Suárez Mascareño et al. 2021; Johnson et al. 2022; Tejada Arevalo et al. 2022; Damasso et al. 2023; Finociety et al. 2023; Maggio et al. 2023; Turrini et al. 2023; Barat et al. 2024), currently making a comprehensive understanding of the V1298 Tau system a debated hot topic.

Strong stellar magnetic fields and dense winds are predicted in young stars such as V1298Tau. Consequently, bright, observable non-thermal radio emission could be expected over a broad range of frequencies. Observations at radio frequencies could allow a more comprehensive study of the radiation field, coronal plasma density and magnetic field properties, thermal and non-thermal emission processes related to the stellar magnetic activity, and could potentially detect evidence of magnetic star-planet interaction (SPI) in young and magnetically active systems with known planets. Although very challenging, revealing radio emission from SPI at GHz frequencies would probe the properties of the stellar magnetospheres, and would provide a measure of the stellar magnetic fields, potentially allowing the planetary magnetic fields to be modelled (see e.g. Callingham et al. 2024, and references therein). For young systems with planets, the characterisation of the plasma environment where the planets are embedded and of the space weather (e.g. flares and coronal mass ejections, which are expected to contribute to the erosion of a planet’s atmosphere) is crucial, although cutting-edge, for understanding planetary atmospheric evolution at early stages (e.g. Owen 2019). However, detecting nearby radio-bright stars is quite rare. Recently, thanks to the current much higher sensitivity of large radio interferometers, young and magnetically active stars have been surveyed at radio frequencies (e.g. Lynch et al. 2017; Launhardt et al. 2022; Dzib et al. 2024; Yiu et al. 2024), with only a few notably radio-bright stars that were objects of targeted follow-up.

Among the follow-ups, Bower et al. (2016) detected with the JVLA ~ 1 mJy emission at 6 GHz coming from the 2 Myr T Tauri star V830 Tau, an infant star located at 132.6±0.6 pc that can be considered as a radio-bright prime reference target for our purposes. Interestingly, at the time of its radio follow-up, V830 Tau was a candidate to host a hot Jupiter, whose existence was later questioned (e.g. Damasso et al. 2020). With due differences in terms of temporal baseline and signal-to-noise ratio (S/N) of the detected radio signals, another prime reference for searching for and investigating the radio emission from V1298Tau is represented by the almost coeval (~22 Myr) multi-planetary system AU Mic (e.g. Plavchan et al. 2020; Mallorquín et al. 2024), which has recently been the target of an unprecedented intensive radio campaign with the Australia Telescope Compact Array between 1.1 and 3.1 GHz (Bloot et al. 2024). AUMic is a very active star located at a distance of 9.7 pc, much closer than V1298 Tau, thus offering the opportunity to analyse in detail the dynamic spectra; to characterise the structure of the observed emissions, their temporal evolution, and degree of polarisation; and to infer the type of mechanisms that produced them.

As a continuation of characterisation studies of the radiation environment in the V1298 Tau system, in this work we present results from a first radio follow-up using the uGMRT, JVLA, and Sardinia Radio Telescope (SRT; Bolli et al. 2015; Prandoni et al. 2017), covering the frequency ranges 550–750 MHz, 1–2 GHz, and 4–8 GHz. Before our dedicated survey, V1298 Tau had never been targeted by any of the major northern radio interferome-ters1. In this paper, we report the first detection of variable radio emission from this multi-planetary system.

2 Description of the observations

2.1 uGMRT

We conducted observations of V1298 Tau with uGMRT at band 4 (550–900 MHz) for 6 hours, divided into three slots on 26, 27, and 28 October 2023. Each slot was two hours long, and we reached a total on-source time of nearly 3 hours. The spectral set-up consisted of a spectral window of 2048 channels with a channel bandwidth of 97.656 kHz, for a total bandwidth of 200 MHz centred on 650 MHz. Observations were made with an integration time of 2.68 s and spectral resolution of 97.656 kHz in co-polar (RR, LL) mode. We used 3C147 as the flux and bandpass calibrator, which was observed at the beginning and at the end of each observation. We used J0432+416 as the phase calibrator, which was observed before and after each target scan of 30.25 minutes. We used the CAPTURE pipeline (CAsa Pipeline-cum-Toolkit for Upgraded Giant Metrewave Radio Telescope data REduction; Kale & Ishwara-Chandra 2021) with some custom modification to improve the calibration. We corrected for the instrumental delay and bandpass using the bandpass and phase calibrators, and applied the solutions to the target. After flagging, the usable band range was 570–725 MHz. We also performed four rounds of phase self-calibration with the pipeline for each data set of each day to improve the S/N of the images. We imaged the resulting calibrated visibilities using wsclean (Offringa et al. 2014; Offringa & Smirnov 2017) using Briggs weighting with a robust value of 0. A typical beam size was ~4.8″ × 3.3″.

2.2 Karl G. Jansky Very Large Array

The target was observed with JVLA in L (1–2 GHz) and C (4.5–6.5 GHz) bands during 12 slots (six slots per band), from 28 July 2024 to 27 September 2024. Each visit was 1 hour long, with an average on-source time of ~35 minutes. The observations were conducted in standard continuum mode using the JVLA B-configuration. The three last observing days, all carried out in L-band, were taken in the BnA configuration. The spectral set-up for observations in L-band consisted of 16 spectral windows, each composed of 64 channels with 1 MHz spectral resolution for a bandwidth of 64 MHz, resulting in a total bandwidth of 1 GHz. The spectral set-up for C-band observations also consisted of 16 spectral windows with 64 channels of 2 MHz spectral resolution, for a bandwidth of 128 MHz, and a total bandwidth of 2 GHz. We observed 3C147 as absolute flux and bandpass calibrator for observations in both C- and L-bands, while J0403+2600 was used for gain and phase calibration. The data were flagged and calibrated using the JVLA calibration pipeline (Kent et al. 2020). We used the results of the JVLA imaging pipeline on the C-band data after self-calibration. For L-band, we used the tclean task within CASA (Common Astronomy Software Applications for Radio Astronomy CASA Team et al. 2022) to image the first three epochs. The transition to the BnA configuration for the last three L-band observation days resulted in much more elongated synthesised beams. Typical beam sizes for L-band were 4.9″ × 3.4″, while for C-band they were 1.3″ × 1.1″.

2.3 Sardinia Radio Telescope

We observed V1298 Tau in C-high band with the SRT on three consecutive days (26–28 June 2024), each time on intervals of about 1 hour. Full-Stokes parameters were acquired with the SARDARA backend (Melis et al. 2018) in the frequency range 6000f7200 MHz, at a spectral resolution of 1.46 MHz per channel. With a resolution of 2.9 arcmin at 6.6 GHz, we expect a confusion noise of ~0.4 mJy (e.g. Condon 2002). We calculated that the known radio source NVSS J040522+200958, which is located at 92 arcsec from our target, contaminates the beam with a flux of 0.15 mJy in C-band2. Although the use of a single dish for detecting radio stars is not optimal, due to much lower resolution and sensitivity compared to interferometry, the observations with SRT represent a proof of concept for a kind of object such as V1298 Tau, for which non-periodic, irregular peak emission at a mJy level could be expected from very intense and fast bursts (e.g. Bower et al. 2016; Launhardt et al. 2022), and potentially caught by SRT at different epochs than those covered by JVLA and uGMRT. We performed on-offposition switching on the target, each observations lasting 1 minute. On 26 June we carried out 12 on-off pointings, while on 27 and 28 June we performed 21 on-off cycles. The on position was centred on V1298 Tau, while the off was taken with a 1 degree azimuth offset at the same elevation. The beam FWHM in the considered frequency range is 2.9 arcmin. We recorded the data stream by acquiring 33 full bandwidth spectra per second. Bandpass, flux density, and polarisation calibrations were done with at least three cross-scans on the source calibrators 3C147, 3C48, 3C138, and 3C84 performed at the beginning of each observing run. The data reduction was done with the Single-dish Spectral-polarimetry Software (SCUBE; Murgia et al. 2016). We applied the gain-elevation curve correction to account for the gain variation with elevation due to the telescope structure gravitational stress change and we corrected for the atmosphere opacity. We eliminated all RFI at specific well-known frequencies, and ran an automatic flagging procedure to eliminate all residual RFI. Finally, we averaged the RFI-cleaned spectral channels of all samples together and produced a light curve by subtracting the interpolated intensity of the nearby off positions from the on positions.

2.4 ASAS-N optical light curve

We used the optical light curve (ɡ-band) of V1298 Tau collected by the All-Sky Automated Survey for Supernovae (ASAS-SN) survey3 (Shappee et al. 2014; Hart et al. 2023) during the time span of JVLA follow-up to investigate if there is any correspondence between the epochs of radio detections with specific locations on the light curve phase-folded at the stellar rotational period.

3 Results

We detected significant emission with the JVLA in both C- and L-bands, at different epochs, during our two-month follow-up. In C-band, emission with the highest peak flux density was detected on 28 and 31 Aug. 2024 (177±6 and 143±7 µJy/beam), separated in time by almost exactly one stellar rotation period. C-band emission was detected in three other epochs (~24–30 µJy/beam, with a significance of ~4–5σ), while for one epoch we could set an upper limit of 19 µJy/beam. The detected emission with the highest flux density peak shows an increase by a factor of ~6 compared to the other days, which we can tentatively define as the quasi-quiescent emission level. In the L-band we only detected emission on 18 September 2024 during two consecutive slots (88±14 and 91±10 µJy/beam). The peak flux of the detected emission is consistent with the integrated flux, indicating that they originate from a point-like source. All detections show no signs of relevant circular polarisation, for which we can set upper limits as low as |V/I| ≲ 10% for the brightest detections in C-band. At lower frequencies, with the uGMRT we could determine 3σ Stokes I upper limits during the three consecutive slots on 26–28 October 2023 (peak flux <41–56 µJy/beam).

Figure 1 shows the JVLA sky maps centred on V1298Tau for each observation at L- and C-band. The results for each visit with the JVLA and uGMRT are summarised in Table 1. The time series of the uGMRT and JVLA observations are shown in the first plot of Fig. 2. The second panel shows the JVLA measurements and the ASAS-SN optical light curve4, phase-folded to the stellar rotation period of 2.89±0.01 days, that was derived from the generalised Lomb-Scargle periodogram (GLS; Zechmeister & Kürster 2009) of the ASAS-SN curve (lower panel of Fig. 2), in agreement with values reported in the literature (e.g. David et al. 2019; Suárez Mascareño et al. 2021; Damasso et al. 2023). In the folded light curve, the highest peak fluxes in C- and L-bands occur during phases of what appears as a broad optical minimum (maximum magnitude) in the ASAS-SN data (phase range ~0.55–0.75 in Fig. 2). This phase corresponds to the maximum photospheric coverage by magnetically active regions, and arguably what we observe on V1298 Tau could be similar to what we observe for the Sun’s emission at 2.8 GHz from active regions (e.g. Mursula 2023). The non-detection observations are spread over the rotational phases. Given the few data points, we cannot distinguish whether the strong flux enhancements in C-band, which have been detected in two epochs separated by approximately one rotational cycle, was a long-duration outburst, or consisted of short bursts repeating at a similar rotational phase. We note that optical and radio observations at the epochs of the observed radio bursts are not simultaneous, and therefore we cannot verify whether the radio flux peaks have optical flare counterparts in the ASAS-SN light curve.

Keeping in mind the relatively low S/N, which limits the possibility of inspecting the dynamic spectrum, we do not find clear evidence for a statistically significant time variation or narrow spectral features. In this sense, the emission seems to be spread across the band, and it lasts at least as long as the ~ 1 h observation. We can safely exclude that the bulk of the flux comes from short (≲10 minutes) bursts. We show the coarsely binned light curves in Fig. 3.

Regarding the observations with SRT, we analysed the light curves for both the total and polarised intensity obtained at 6.6 GHz. We determined much higher emission upper limits than JVLA and uGMRT. As an example of the results obtained with the SRT, in Fig. 4 we present the light curve for the total intensity recorded on 27 June, which is the one with the least RFI contamination. We can only place an average 3σ upper limit of ≲ 13 mJy. The same upper limit also holds for the polarised intensity light curve. This is the tightest constraint we could obtain from the SRT data. For the other two days the dispersion and derived upper limits are also larger.

4 Discussion and conclusions

Generally speaking, detecting radio emission from stars is relatively rare; for instance, a cross-correlation between the Gaia nearby star catalogue and low-frequency radio surveys (Yiu et al. 2024) gives an occurrence rate of radio stars of ~0.05% brighter than ~0.4 mJy at ~150 MHz (V-LoTSS by LOFAR, Callingham et al. 2023), and ~0.02% brighter than ~1 mJy at 1–2 GHz (VLASS), although the prevalence is higher for young stars such as V1298 Tau (Launhardt et al. 2022). In addition to the likely intrinsic faintness or absence of radio emission, part of the reason for the scarcity of radio-bright stars is certainly due to the extremely beamed, variable, and bursty nature of the underlying mechanisms. Time variability is indeed seen across a broad range of timescales, going from milliseconds (see e.g. the short bursts, drifting in frequencies, shown by the M-dwarf AD Leo, Zhang et al. 2023, or in Jupiter, Zarka 1998) to hours (e.g. Bloot et al. 2024 and references therein).

Within the radio-brightest stars, the large majority are interacting binary systems and/or chromospherically active stars such as M dwarfs (e.g. Pérez-Torres et al. 2021; Yiu et al. 2024) (i.e. showing frequent flares, high X-ray flux, and signs of magnetic activity). Moreover, the radio luminosity seems to strongly correlate with the age: systems ≲100 Myr (e.g. V1298 Tau) are much more likely to be radio-detectable than older systems (Launhardt et al. 2022). A notable exception is represented by the inactive, old, and slowly rotating star GJ 1151, which has been recently found to emit coherent radio bursts (Vedantham et al. 2020b). The star is host to a planetary system (Blanco-Pozo et al. 2023), although to date it has not been possible to establish a connection between the radio emission and the presence of planets. In this sense, the first radio detection from V1298Tau is particularly interesting, given the properties of the system and the possible implications. On the one hand, its young age plays in favour of radio emission. On the other hand, it has a relatively mild magnetic field ≲250 G (Finociety et al. 2023), much weaker than the typical kilogauss fields in active M dwarfs. Additionally, the confirmed presence of orbiting planets makes this system very peculiar compared to the bulk of known radio-loud young systems.

Unfortunately, we cannot constrain the brightness temperature, Tb, basically due to the lack of relevant indications of the size of the emitting region: the beam size is too large to help in this sense, there is no evidence for short-time variability, and there is no detected polarisation (which would be a hint for a compact region). This lack of constraints and the broad range of Tb estimates are totally analogous with what has been found in other standard interferometric observations: for instance, see Sect. 4.3 of Johnston et al. (2003) regarding the Tb constraints from irregular radio JVLA detections from T-Tau N and T-Tau Sb, with similar beam sizes, fluxes, weak or absent polarisation, and no hints of short-term variability. In other sources, meaningful constraints on Tb can be obtained in the case of resolving the source with VLBI (following the analogy above, see the hints for thermal emission in T-Tau Sb, Smith et al. 2003), if strong circular polarisation is detected (e.g. Bloot et al. 2024 and references within, or Sect. 4.3.1 of Davis et al. 2024), and/or if short-term variability (minutes or less) is detected (Zhang et al. 2023). Therefore, in our case, due to the lack of constraints on Tb and lack of polarisation, we cannot exclude thermal emission, although for the younger (~1 Myr) stellar objects where it is commonly seen (like the aforementioned T Tauri system), it is associated with accretion-driven jets (Anglada et al. 2018). A persistence of such thermal jets at the age of V1298 Tau, for which the disk is expected to have largely disappeared, is unlikely.

A suggestive finding of this analysis, to be statistically deepened by future additional observations, is the possible concentration of the radio flux enhancements (two observations separated by one stellar rotation cycle in C-band, and two consecutive hours in L-band a few cycles later) at epochs corresponding to a minimum flux in the optical light curve. The bunching in phase is not seen if we fold the data with the orbital period of any of the four confirmed planets (Porb ~8, 12, 24, 48 d; e.g. Dai et al. 2024), or their associated beat periods Pbeat = (1/Prot − 1/Porb)−1, against the possibility of emission due to star-planet interaction (which is already highly disfavoured, given the absence of circular polarisation). The observed concentration of radio emission at a specific rotational phase leads us to advocate for more observations to cover the rotational phase range nearly homogeneously.

If the bunch in phase is confirmed by additional observations, we could be witnessing something similar to what was found for AU Mic, where the frequent radio bursts were detected specifically around two phases (Bloot et al. 2024), and are attributable to electron cyclotron maser (ECM) emission connected to the two magnetic poles. However, the important difference between our study and the emission of AU Mic, in addition to the very different amount of available data (Bloot et al. 2024 analysed over 250 hours of radio observations), is that in our case we do not see any relevant circular polarisation. For this reason, we can safely exclude that the detected emission is due to the ECM mechanism, a coherent process commonly invoked to explain coherent, circularly polarised radio emission from Solar System planets (Zarka 1998), brown dwarfs (McLean et al. 2011; Williams et al. 2017; Kao et al. 2016, 2018; Vedantham et al. 2020a), and M-dwarfs (Vedantham 2021; Yiu et al. 2024; Bloot et al. 2024; Kaur et al. 2024). However, the lack of detection of ECM emission does not completely rule out the possibility of magnetic SPI for this system, in that (i) ECM emission is highly beamed and could not cross the line of sight, (ii) it could be produced at frequencies that are not covered by our observations, and (iii) our sparse observations do not have an optimal phase coverage in terms of planetary orbits (see e.g. Sect. 3 of Callingham et al. 2024 and Peña-Moñino et al. 2025 for a general discussion). Except for the fact that the emission does not show relevant polarisation, the ZDI-measured magnetic field (Finociety et al. 2023) is at most a few hundred gauss. This means that the associated cut-off ECM frequency (v = 2.8B[G] MHz; i.e. the electron cyclotron frequency) is realistically ≲ 1 GHz, a band where our uGMRT observations (0.55–0.75 GHz) do not detect any quiescent or bursting signal (though the sensitivity is worse than at higher frequencies), and well below the C-band (4-8 GHz), where we obtain the strongest emission.

Another particularly suitable analogy is the radio emission detected from the variable young star V830Tau (Bower et al. 2016), which was unpolarised (Stokes V/I ≲ 7%). The emission was variable in time, with one detection (919±26 µJy), and two upper limits measured at two other epochs (<66 and < 150 µJy). A second emission, likely non-thermal and not circularly polarised of 501±75 µJy, was revealed three years later with the Very Long Baseline Array at 8.4 GHz. Bower et al. (2016) attributed the emission to magnetospheric electron acceleration, possibly via magnetic reconnection or other processes, which produces a non-thermal high-energy tail for the electron energy distribution and drives gyrosynchrotron emission. The emission might be similar to what is seen in T Tauri stars (Loinard et al. 2007).

The power PC corresponding to the mean quiescent integrated flux fC ~ 27 µJy emitted in C-band by V1298 Tau is PC = Ωe fC Δv d2 = 7.6 × 1023 erg s−1, where Ωe = 4π sterad is the solid angle where the flux is emitted (here an isotropic emission is assumed), Δv = 2 GHz is the bandwidth, and d = 108.5 pc is the source distance. The corresponding logarithm of the power per unit passband is log10 LR = log10(PCv) ≡ 14.6 (erg s−1 Hz−1). The luminosity in the X-ray passband between 0.1 and 2.4 KeV as predicted by the Güdel-Benz relationship is between 1.3 × 1030 and 4 × 1030 erg s−1 (Guedel & Benz 1993; Benz & Guedel 1994), in agreement with the quiescent value of LX = 2.0 × 1030 erg s−1 measured by Maggio et al. (2023) in recent XMM-Newton observations. Considering also previous ROSAT and Chandra observations (Poppenhaeger et al. 2021), the long-term variation in the X-ray luminosity rests within a factor of two (Maggio et al. 2023).

The Güdel-Benz relationship is also followed by the radio and X-ray emissions of solar flares (Benz & Guedel 1994). Therefore, it is generally regarded as an indication that coronal heating and particle acceleration mechanisms are related to flare events in magnetically active late-type stars (Güdel 2004). Intriguingly, the recent finding by Vedantham et al. (2022) that the highly polarised (≈50–90%) coherent emission at 144 MHz from a sample of RS CVn binary systems and other very active stars is also following the same relationship does not appear in agreement with the gyrosynchrotron emission mechanism traditionally assumed to account for the Güdel-Benz relationship (Guedel & Benz 1993). In any case, the fact that V1298 Tau satisfies the Güdel-Benz relationship is again an indication that its radio emission is intrinsic to its corona and is not related to star-planet interactions (cf. Pineda et al. 2017; Callingham et al. 2024).

The coronal model by Maggio et al. (2023) can be used to estimate the minimum coronal magnetic field required to confine the plasma starting from its temperature and emission measure. Specifically, we consider the component of their model corresponding to the quiescent emission in their Table 2, which has a temperature of Tc = 10.8 MK and an emission measure of EM = 1.31 × 1053 cm−3. The corresponding pressure scale height, assumed as the vertical extension of the X-ray emitting corona, is found to be Hp = 7.6 × 1010 cm, adopting a radius and a mass of the star of 1.28 R and 1.17 M, respectively (Suárez Mascareño et al. 2021). Assuming that the coronal plasma has a filling factor fcor = 0.01, we estimate a coronal volume V = 1.57 × 1032 cm3 and a mean electron density of ne = (EM/V)1/2 = 2.9 × 1010 cm−3, which is typical of moderately active late-type stars (Güdel 2004). The corresponding minimum magnetic field is Beq = (16π ne kb Tc)1/2 ~ 46.5 G, where kb is the Boltzmann constant, and corresponds to equipartition between magnetic and thermal pressures. With such a magnetic field, we find that the relativistic Lorentz factor of the electrons emitting in C-band is γ ≥ 5 indicating that we are likely observing gyrosynchrotron emission from mildly relativis-tic electrons (Dulk & Marsh 1982; Condon & Ransom 2016)5. Stronger magnetic fields are certainly present in the chromosphere and photosphere of V1298 Tau as shown by the ZDI performed by Finociety et al. (2023). If the radio emission comes from those regions characterised by stronger fields, the minimum required value of γ becomes lower because γminB−1/2, thus suggesting cyclotron emission as the corresponding mechanism.

Our results make V1298 Tau a primary radio-bright target for a more intensive targeted radio follow-up. Well-sampled high-sensitivity observations that span a few consecutive stellar rotational cycles are needed to shed light on the origin of the observed variability, and each visit should last a few hours in order to investigate its emission properties over a short term.

thumbnail Fig. 1

Stokes I radio maps centred on V1298 Tau (the location of the target is indicated by a cross) that we obtained with JVLA at each epoch of observation (upper image: L-band; lower image: C-band). The observing date is indicated in the upper left corner of each panel. The beam sizes are sketched in the bottom left corner. Contours are −3, −2, 3, 4 5, 7, 10, 15, 20, 25, 40 times the RMS of each map. The background colour scale ranges from −43 to 200 µJy/beam for L-band and from −14 to 200 µJy/beam for C-band.

Table 1

Summary of JVLA and GMRT observations and results for V1298 Tau.

thumbnail Fig. 2

Upper panel: peak flux values (dots) and 3σ upper limits (triangles) of the JVLA observations in L- and C-bands (black and orange data points), and GMRT in band 4 (red data points), as a function of the observing epoch. Middle panel: ASAS-SN ɡ-band magnitudes and JVLA radio fluxes phase-folded to the stellar rotation period P~2.9 days. Phase zero corresponds to the first epoch of the JVLA C-band observations. Optical and radio observations were carried out within the same time span. Lower panel: GLS periodogram of the ASAS-SN optical light curve collected over the time span covered by JVLA observations (28 July–28 Sept. 2024). The stellar rotation period of ~2.9 days is indicated by a red dashed line.

thumbnail Fig. 3

Variation of Stokes / fluxes during the two JVLA C-Band epochs with the brightest emission, (blue) for 28 August 2024 and (orange) for 31 August 2024, where t = 0 marks the beginning of the first on-source scan for each epoch, and the data of the second epoch have been shifted by 0.5 min on the x-axis for better visualisation. The horizontal bars indicate the intervals of source scans. The horizontal lines correspond to the average and confidence level.

thumbnail Fig. 4

SRT 6.6 GHz total intensity light curve for 27 June 2024. The flux density reported in the plot (<Flux> = 3.7±4.3 mJy) represents the mean of N = 20 measurements, and the error bar has been determined as σ/N$\sigma /\sqrt N $, from which a 3σ upper limit of <13 mJy is derived. We removed from the flux density light curve the contribution of the nearby confusion source NVSS J040522+200958, which is 0.15 mJy at 6.6 GHz based on our calculation.

Acknowledgements

We thank the anonymous referee for helpful comments on the paper. M.D. acknowledges financial support through INAF mini-grant fundamental research funding for the year 2022. S.K. carried out this work within the framework of the doctoral program in Physics of the Universitat Autònoma de Barcelona. O.M., S.K., and D.V. are supported by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (ERC Starting Grant “IMAGINE” No. 948582). F.D.S. acknowledges support from a Marie Curie Action of the European Union (Grant agreement 101030103). We acknowledge the “María de Maeztu” award from the Spanish Science and Innovation Ministry to the Institut de Ciències de l’Espai (CEX2020-001058-M). M.P.T. acknowledges financial support from the Severo Ochoa grant CEX2021-001131-S and from the Spanish grant PID2023-147883NB-C21, funded by MCIU/AEI/10.13039/501100011033, as well as support through ERDF/EU. A.S.-M. acknowledges support from the RyC2021-032892-I grant funded by MCIN/AEI/10.13039/501100011033 and by the European Union ‘Next GenerationEU’/PRTR, as well as the program Unidad de Excelencia María de Maeztu CEX2020-001058-M, and support from the PID2023-146675NB-I00 (MCI-AEI-FEDER, UE). J.M.G. acknowledges financial support through the grant PID2023-146675NB-I00. The Sardinia Radio Telescope is funded by the Ministry of Education, University and Research (MIUR), Italian Space Agency (ASI), the Autonomous Region of Sardinia (RAS) and INAF itself and is operated as a National Facility by the National Institute for Astrophysics (INAF). We thank A. Miotello and C. Manara for useful discussions.

References

  1. Anglada, G., Rodríguez, L. F., & Carrasco-González, C. 2018, A&A Rev., 26, 3 [Google Scholar]
  2. Barat, S., Désert, J.-M., Vazan, A., et al. 2024, Nat. Astron., 8, 899 [Google Scholar]
  3. Benz, A. O., & Guedel, M. 1994, A&A, 285, 621 [NASA ADS] [Google Scholar]
  4. Blanco-Pozo, J., Perger, M., Damasso, M., et al. 2023, A&A, 671, A50 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  5. Bloot, S., Callingham, J. R., Vedantham, H. K., et al. 2024, A&A, 682, A170 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  6. Bolli, P., Orlati, A., Stringhetti, L., et al. 2015, J. Astron. Instrum., 04, 1550008 [Google Scholar]
  7. Bower, G. C., Loinard, L., Dzib, S., et al. 2016, ApJ, 830, 107 [NASA ADS] [CrossRef] [Google Scholar]
  8. Callingham, J. R., Shimwell, T. W., Vedantham, H. K., et al. 2023, A&A, 670, A124 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  9. Callingham, J. R., Pope, B. J. S., Kavanagh, R. D., et al. 2024, Nat. Astron., 8, 1359 [NASA ADS] [CrossRef] [Google Scholar]
  10. CASA Team, Bean, B., Bhatnagar, S., et al. 2022, PASP, 134, 114501 [NASA ADS] [CrossRef] [Google Scholar]
  11. Condon, J. J. 2002, ASP Conf. Ser., 278, 155 [NASA ADS] [Google Scholar]
  12. Condon, J. J., & Ransom, S. M. 2016, Essential Radio Astronomy (Princeton: Princeton University Press) [Google Scholar]
  13. Dai, F., Goldberg, M., Batygin, K., et al. 2024, AJ, 168, 239 [NASA ADS] [CrossRef] [Google Scholar]
  14. Damasso, M., Lanza, A. F., Benatti, S., et al. 2020, A&A, 642, A133 [EDP Sciences] [Google Scholar]
  15. Damasso, M., Scandariato, G., Nascimbeni, V., et al. 2023, A&A, 680, A8 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  16. David, T. J., Petigura, E. A., Luger, R., et al. 2019, ApJ, 885, L12 [Google Scholar]
  17. Davis, I., Hallinan, G., Ayala, C., Dong, D., & Myers, S. 2024, ArXiv e-prints [arXiv:2408.14612] [Google Scholar]
  18. Driessen, L. N., Pritchard, J., Murphy, T., et al. 2024, PASA, 41, e084 [NASA ADS] [CrossRef] [Google Scholar]
  19. Dulk, G. A., & Marsh, K. A. 1982, ApJ, 259, 350 [NASA ADS] [CrossRef] [Google Scholar]
  20. Dzib, S. A., Loinard, L., Launhardt, R., & Ordóñez-Toro, J. 2024, A&A, 686, A176 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  21. Finociety, B., Donati, J.-F., Cristofari, P. I., et al. 2023, MNRAS, 526, 4627 [NASA ADS] [CrossRef] [Google Scholar]
  22. Güdel, M. 2004, A&A Rev., 12, 71 [Google Scholar]
  23. Guedel, M., & Benz, A. O. 1993, ApJ, 405, L63 [NASA ADS] [CrossRef] [Google Scholar]
  24. Hart, K., Shappee, B. J., Hey, D., et al. 2023, ArXiv e-prints [arXiv:2304.03791] [Google Scholar]
  25. Johnson, M. C., David, T. J., Petigura, E. A., et al. 2022, AJ, 163, 247 [NASA ADS] [CrossRef] [Google Scholar]
  26. Johnston, K. J., Gaume, R. A., Fey, A. L., de Vegt, C., & Claussen, M. J. 2003, AJ, 125, 858 [NASA ADS] [CrossRef] [Google Scholar]
  27. Kale, R., & Ishwara-Chandra, C. H. 2021, Exp. Astron., 51, 95 [NASA ADS] [CrossRef] [Google Scholar]
  28. Kao, M. M., Hallinan, G., Pineda, J. S., et al. 2016, ApJ, 818, 24 [NASA ADS] [CrossRef] [Google Scholar]
  29. Kao, M. M., Hallinan, G., Pineda, J. S., Stevenson, D., & Burgasser, A. 2018, ApJS, 237, 25 [NASA ADS] [CrossRef] [Google Scholar]
  30. Kaur, S., Viganò, D., Béjar, V. J. S., et al. 2024, A&A, 691, L17 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  31. Kent, B. R., Masters, J. S., Chandler, C. J., et al. 2020, ASP Conf. Ser., 527, 571 [NASA ADS] [Google Scholar]
  32. Launhardt, R., Loinard, L., Dzib, S. A., et al. 2022, ApJ, 931, 43 [NASA ADS] [CrossRef] [Google Scholar]
  33. Loinard, L., Rodríguez, L. F., D’Alessio, P., Rodríguez, M. I., & González, R. F. 2007, ApJ, 657, 916 [NASA ADS] [CrossRef] [Google Scholar]
  34. Lynch, C. R., Murphy, T., Kaplan, D. L., Ireland, M., & Bell, M. E. 2017, MNRAS, 467, 3447 [NASA ADS] [CrossRef] [Google Scholar]
  35. Maggio, A., Pillitteri, I., Argiroffi, C., et al. 2023, ApJ, 951, 18 [NASA ADS] [CrossRef] [Google Scholar]
  36. Mallorquín, M., Béjar, V. J. S., Lodieu, N., et al. 2024, A&A, 689, A132 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  37. McLean, M., Berger, E., Irwin, J., Forbrich, J., & Reiners, A. 2011, ApJ, 741, 27 [NASA ADS] [CrossRef] [Google Scholar]
  38. Melis, A., Concu, R., Trois, A., et al. 2018, J. Astron. Instrum., 7, 1850004 [NASA ADS] [CrossRef] [Google Scholar]
  39. Murgia, M., Govoni, F., Carretti, E., et al. 2016, MNRAS, 461, 3516 [Google Scholar]
  40. Mursula, K. 2023, A&A, 674, A182 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  41. Offringa, A. R., & Smirnov, O. 2017, MNRAS, 471, 301 [Google Scholar]
  42. Offringa, A. R., McKinley, B., Hurley-Walker, et al. 2014, MNRAS, 444, 606 [NASA ADS] [CrossRef] [Google Scholar]
  43. Owen, J. E. 2019, Ann. Rev. Earth Planet. Sci., 47, 67 [Google Scholar]
  44. Peña-Moñino, L., Pérez-Torres, M., Kansabanik, D., et al. 2025, A&A, 693, A223 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  45. Pérez-Torres, M., Gómez, J. F., Ortiz, J. L., et al. 2021, A&A, 645, A77 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  46. Pineda, J. S., Hallinan, G., & Kao, M. M. 2017, ApJ, 846, 75 [Google Scholar]
  47. Plavchan, P., Barclay, T., Gagné, J., et al. 2020, Nature, 582, 497 [Google Scholar]
  48. Poppenhaeger, K., Ketzer, L., & Mallonn, M. 2021, MNRAS, 500, 4560 [Google Scholar]
  49. Prandoni, I., Murgia, M., Tarchi, A., et al. 2017, A&A, 608, A40 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  50. Shappee, B. J., Prieto, J. L., Grupe, D., et al. 2014, ApJ, 788, 48 [Google Scholar]
  51. Smith, K., Pestalozzi, M., Güdel, M., Conway, J., & Benz, A. O. 2003, A&A, 406, 957 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  52. Suárez Mascareño, A., Damasso, M., Lodieu, N., et al. 2021, Nat. Astron., 6, 232 [Google Scholar]
  53. Tejada Arevalo, R., Tamayo, D., & Cranmer, M. 2022, ApJ, 932, L12 [NASA ADS] [CrossRef] [Google Scholar]
  54. Turrini, D., Marzari, F., Polychroni, D., et al. 2023, A&A, 679, A55 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  55. Vedantham, H. K. 2021, MNRAS, 500, 3898 [Google Scholar]
  56. Vedantham, H. K., Callingham, J. R., Shimwell, T. W., et al. 2020a, ApJ, 903, L33 [Google Scholar]
  57. Vedantham, H. K., Callingham, J. R., Shimwell, T. W., et al. 2020b, Nat. Astron., 4, 577 [Google Scholar]
  58. Vedantham, H. K., Callingham, J. R., Shimwell, T. W., et al. 2022, ApJ, 926, L30 [NASA ADS] [CrossRef] [Google Scholar]
  59. Williams, P. K. G., Gizis, J. E., & Berger, E. 2017, ApJ, 834, 117 [NASA ADS] [CrossRef] [Google Scholar]
  60. Yiu, T. W. H., Vedantham, H. K., Callingham, J. R., & Günther, M. N. 2024, A&A, 684, A3 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  61. Zarka, P. 1998, J. Geophys. Res., 103, 20159 [Google Scholar]
  62. Zechmeister, M., & Kürster, M. 2009, A&A, 496, 577 [CrossRef] [EDP Sciences] [Google Scholar]
  63. Zhang, J., Tian, H., Zarka, P., et al. 2023, ApJ, 953, 65 [NASA ADS] [CrossRef] [Google Scholar]

1

V1298 Tau is not included in the recent radio-star lists detected by the LOFAR or JVLA surveys (Yiu et al. 2024), in the radio stars catalogue radiostars.org (Driessen et al. 2024), or in the list of 170 mostly young (5–500 Myr) stars within 130 pc surveyed by Launhardt et al. (2022) at 6 GHz with JVLA.

2

Due to their smaller beam sizes, uGMRT and JVLA are not affected by a similar issue.

3

The data were downloaded from http://asas-sn.ifa.hawaii.edu/skypatrol/

4

MJD epochs of radio observations were transformed to the HJD reference to be consistent with the optical measurements.

All Tables

Table 1

Summary of JVLA and GMRT observations and results for V1298 Tau.

All Figures

thumbnail Fig. 1

Stokes I radio maps centred on V1298 Tau (the location of the target is indicated by a cross) that we obtained with JVLA at each epoch of observation (upper image: L-band; lower image: C-band). The observing date is indicated in the upper left corner of each panel. The beam sizes are sketched in the bottom left corner. Contours are −3, −2, 3, 4 5, 7, 10, 15, 20, 25, 40 times the RMS of each map. The background colour scale ranges from −43 to 200 µJy/beam for L-band and from −14 to 200 µJy/beam for C-band.

In the text
thumbnail Fig. 2

Upper panel: peak flux values (dots) and 3σ upper limits (triangles) of the JVLA observations in L- and C-bands (black and orange data points), and GMRT in band 4 (red data points), as a function of the observing epoch. Middle panel: ASAS-SN ɡ-band magnitudes and JVLA radio fluxes phase-folded to the stellar rotation period P~2.9 days. Phase zero corresponds to the first epoch of the JVLA C-band observations. Optical and radio observations were carried out within the same time span. Lower panel: GLS periodogram of the ASAS-SN optical light curve collected over the time span covered by JVLA observations (28 July–28 Sept. 2024). The stellar rotation period of ~2.9 days is indicated by a red dashed line.

In the text
thumbnail Fig. 3

Variation of Stokes / fluxes during the two JVLA C-Band epochs with the brightest emission, (blue) for 28 August 2024 and (orange) for 31 August 2024, where t = 0 marks the beginning of the first on-source scan for each epoch, and the data of the second epoch have been shifted by 0.5 min on the x-axis for better visualisation. The horizontal bars indicate the intervals of source scans. The horizontal lines correspond to the average and confidence level.

In the text
thumbnail Fig. 4

SRT 6.6 GHz total intensity light curve for 27 June 2024. The flux density reported in the plot (<Flux> = 3.7±4.3 mJy) represents the mean of N = 20 measurements, and the error bar has been determined as σ/N$\sigma /\sqrt N $, from which a 3σ upper limit of <13 mJy is derived. We removed from the flux density light curve the contribution of the nearby confusion source NVSS J040522+200958, which is 0.15 mJy at 6.6 GHz based on our calculation.

In the text

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