A&A, 685, A20 (2024) https://doi.org/10.1051/0004-6361/202348166 c© The Authors 2024 Astronomy &Astrophysics SN2020zbf: A fast-rising hydrogen-poor superluminous supernova with strong carbon lines A. Gkini1 , R. Lunnan1 , S. Schulze2 , L. Dessart3 , S. J. Brennan1 , J. Sollerman1 , P. J. Pessi1 , M. Nicholl4 , L. Yan5, C. M. B. Omand1 , T. Kangas6,7 , T. Moore4 , J. P. Anderson8,9 , T.-W. Chen10 , E. P. Gonzalez11,12, M. Gromadzki13 , C. P. Gutiérrez14,15, D. Hiramatsu16,17 , D. A. Howell11,12 , N. Ihanec13, C. Inserra18 , C. McCully11 , T. E. Müller-Bravo15,14 , C. Pellegrino11,12 , G. Pignata19 , M. Pursiainen20 , and D. R. Young4 1 The Oskar Klein Centre, Department of Astronomy, Stockholm University, Albanova University Center, 106 91 Stockholm, Sweden e-mail: anamaria.gkini@astro.su.se 2 The Oskar Klein Centre, Department of Physics, Stockholm University, Albanova University Center, 106 91 Stockholm, Sweden 3 Institut d’Astrophysique de Paris, CNRS-Sorbonne Université, 98 bis boulevard Arago, 75014 Paris, France 4 Astrophysics Research Centre, School of Mathematics and Physics, Queens University Belfast, Belfast BT7 1NN, UK 5 The Caltech Optical Observatories, California Institute of Technology, Pasadena, CA 91125, USA 6 Finnish Centre for Astronomy with ESO (FINCA), University of Turku, 20014 Turku, Finland 7 Tuorla Observatory, Department of Physics and Astronomy, University of Turku, 20014 Turku, Finland 8 European Southern Observatory, Alonso de Córdova 3107, Casilla 19, Santiago, Chile 9 Millennium Institute of Astrophysics MAS, Nuncio Monsenor Sotero Sanz 100, Of. 104, Providencia, Santiago, Chile 10 Graduate Institute of Astronomy, National Central University, 300 Jhongda Road, 32001 Jhongli, Taiwan 11 Las Cumbres Observatory, 6740 Cortona Dr. Suite 102, Goleta, CA 93117, USA 12 Department of Physics, University of California, Santa Barbara, CA 93106-9530, USA 13 Astronomical Observatory, University of Warsaw, Al. Ujazdowskie 4, 00-478 Warszawa, Poland 14 Institut d’Estudis Espacials de Catalunya (IEEC), Gran Capità, 2-4, Edifici Nexus, Desp. 201, 08034 Barcelona, Spain 15 Institute of Space Sciences (ICE, CSIC), Campus UAB, Carrer de Can Magrans s/n, 08193 Barcelona, Spain 16 Center for Astrophysics, Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138-1516, USA 17 The NSF AI Institute for Artificial Intelligence and Fundamental Interactions, MIT, Cambridge, MA 02139, USA 18 Cardiff Hub for Astrophysics Research and Technology, School of Physics & Astronomy, Cardiff University, Queens Buildings, The Parade, Cardiff CF24 3AA, UK 19 Instituto de Alta Investigación, Universidad de Tarapacá, Casilla 7D, Arica, Chile 20 Department of Physics, University of Warwick, Gibbet Hill Road, Coventry CV4 7AL, UK Received 5 October 2023 / Accepted 23 January 2024 ABSTRACT SN 2020zbf is a hydrogen-poor superluminous supernova (SLSN) at z = 0.1947 that shows conspicuous C ii features at early times, in contrast to the majority of H-poor SLSNe. Its peak magnitude is Mg = −21.2 mag and its rise time (.26.4 days from first light) places SN 2020zbf among the fastest rising type I SLSNe. We used spectra taken from ultraviolet (UV) to near-infrared wavelengths to identify spectral features. We paid particular attention to the C ii lines as they present distinctive characteristics when compared to other events. We also analyzed UV and optical photometric data and modeled the light curves considering three different powering mechanisms: radioactive decay of 56Ni, magnetar spin-down, and circumstellar medium (CSM) interaction. The spectra of SN 2020zbf match the model spectra of a C-rich low-mass magnetar-powered supernova model well. This is consistent with our light curve modeling, which supports a magnetar-powered event with an ejecta mass Mej = 1.5 M . However, we cannot discard the CSM- interaction model as it may also reproduce the observed features. The interaction with H-poor, carbon-oxygen CSM near peak light could explain the presence of C ii emission lines. A short plateau in the light curve around 35–45 days after peak, in combination with the presence of an emission line at 6580 Å, can also be interpreted as being due to a late interaction with an extended H-rich CSM. Both the magnetar and CSM-interaction models of SN 2020zbf indicate that the progenitor mass at the time of explosion is between 2 and 5 M . Modeling the spectral energy distribution of the host galaxy reveals a host mass of 108.7 M , a star formation rate of 0.24+0.41−0.12 M yr −1, and a metallicity of ∼0.4Z . Key words. supernovae: general – supernovae: individual: SN 2020zbf 1. Introduction Modern time-domain sky surveys with large fields of view are able to detect and follow rare transient events. Superlu- minous supernovae (SLSNe) are an extremely luminous class of transients, 10–100 times brighter than canonical super- nova (SN) explosions (Quimby et al. 2011; Gal-Yam 2012). The need for a new class of SN arose due to the fact that some events (Nugent et al. 1999; Ofek et al. 2007; Smith et al. 2007; Quimby et al. 2007; Miller et al. 2009; Barbary et al. 2009; Gal-Yam et al. 2009; Gezari et al. 2009) are much brighter than the majority of previously discovered events and could Open 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. Subscribe to A&A to support open access publication. A20, page 1 of 26 Gkini, A., et al.: A&A, 685, A20 (2024) not fit into the conventional SN explosion scenario. SLSNe are frequently detected in metal-poor dwarf host galaxies (Neill et al. 2011; Chen et al. 2013, 2017; Lunnan et al. 2014; Leloudas et al. 2015; Angus et al. 2016; Perley et al. 2016; Schulze et al. 2018) and were originally defined as having an absolute magnitude of M < −21 (Gal-Yam 2012). How- ever, many SLSNe have peak magnitudes less than this thresh- old (Inserra et al. 2013, 2018a; Angus et al. 2019; Lunnan et al. 2018; De Cia et al. 2018; Chen et al. 2023a), and SLSN clas- sification is better determined using spectroscopic properties (Quimby et al. 2011, 2018; Gal-Yam 2019b) rather than an arbi- trary brightness cut. The SLSN class is typically divided into two subgroups based on the presence of hydrogen in their spectra around the peak – type I (H-poor; SLSN-I hereafter) and type II (H-rich; SLSN-II) – although a few SLSNe-I have Hα emission detected in their late-time spectra (Yan et al. 2015, 2017a; Chen et al. 2018; Fiore et al. 2021; Pursiainen et al. 2022). In particular, SLSNe-I whose spectra do not show He are characterized as SLSNe-Ic. It has been proposed that SLSNe-I can be further classified photometrically: “slow-evolving” SLSNe-I show a rise of about 50 days and a decline consistent with the 56Co decay rate, whereas “fast-evolving” SLSNe-I have rise times of less than 30 days (Nicholl et al. 2016; Quimby et al. 2018; Inserra 2019). However, with some events being in the interme- diate regime (e.g. Gaia16apd, Kangas et al. 2017; SN 2017gci, Fiore et al. 2021), there are claims of a continuous distribution rather than distinct subclasses (Nicholl et al. 2016; De Cia et al. 2018). The dominating powering mechanism for SLSNe-II is likely interaction with a dense circumstellar medium (CSM; Ofek et al. 2014; Inserra et al. 2018b, but see Kangas et al. 2022). How- ever, for H-poor SLSNe (Chevalier & Irwin 2011; Ofek et al. 2013; Inserra et al. 2018a), the powering mechanism is still poorly understood. The amount of radioactive 56Ni produced in the standard core collapse mechanism is insufficient to explain the extreme brightness of SLSNe-I; thus, other mechanisms have been proposed. One proposed mechanism is pair-instability supernovae (PISNe), in which the formation of positron–electron pairs in the CO core of a 140–260 M zero-age main sequence (ZAMS) metal-poor star results in explosive O burning, and the energy released reverses the collapse and entirely disrupts the star (Woosley et al. 2002; Heger & Woosley 2002). This pro- cess has the potential to generate the enormous amount of 56Ni required to power a SLSN-I light curve. Despite the presence of a few PISN candidates (Gal-Yam et al. 2009; Schulze et al. 2023), numerous earlier studies have demonstrated that 56Ni is not the dominant source of energy for the majority of SLSNe-I (Chatzopoulos et al. 2012; Chen et al. 2013, 2023b; Inserra et al. 2013, 2018b; Nicholl et al. 2017; Moriya et al. 2018). The majority of the observed photometric features of SLSNe- I (Inserra et al. 2013; Nicholl et al. 2017; Chen et al. 2023b; Omand & Sarin 2024) can instead be attributed to the spin-down of a rapidly rotating young neutron star (Ostriker & Gunn 1971; Kasen & Bildsten 2010; Woosley 2010), in which the photons from the newborn magnetar wind nebula are absorbed and ther- malized in the SN ejecta, increasing the temperature of the ejecta and the luminosity of the SN. The spectroscopic signa- tures of magnetar-powered SLSNe-I have yet to be explored in detail, but simulations demonstrate that magnetars can reproduce the observed SLSN-I spectra (Dessart et al. 2012; Mazzali et al. 2016; Jerkstrand et al. 2017; Dessart 2019; Omand & Jerkstrand 2023). The majority of the early SLSN-I spectra exhibit a steep blue continuum (Yan et al. 2017b, 2018) and present distinct spectroscopic key characteristics (Quimby et al. 2011, 2018; Mazzali et al. 2016). The presence of O ii features dominates the spectra at 3500–5000 Å, with the most significant W-shape feature at 4350–4650 Å, which is not typically seen in nor- mal SNe-Ic. However, numerous SLSNe-I in the literature do not appear to have the W-shape O ii in their spectra (e.g., Gutiérrez et al. 2022), suggesting a further division of the SLSN- I class (Könyves-Tóth & Vinkó 2021). The red part of the optical SLSN-I spectra presents weak C and O lines, which Dessart et al. (2012) and Howell et al. (2013) suggest come from the explosion of the CO core. The spectra at ∼30 days resemble those of SNe-Ic around maximum light (Pastorello et al. 2010). Interestingly, several SLSNe-I in the literature do not fit into this “standard” classification scheme. These events show strong C ii lines in their spectra (Yan et al. 2017a; Quimby et al. 2018; Anderson et al. 2018; Fiore et al. 2021; Gutiérrez et al. 2022). Anderson et al. (2018) suggest that the persistent C ii features in SN 2018bsz are produced by a magnetar-powered explosion of a massive C-rich Wolf-Rayet (WR) progenitor. The mod- els of Fiore et al. (2021) suggest that the C-rich SN 2017gci was powered by either a magnetar or CSM interaction with a 40 M progenitor. Additionally, Gutiérrez et al. (2022) find that SN 2020wnt requires over 4 M of 56Ni to produce the observed light curve, which is consistent with the PISN scenario, while Tinyanont et al. (2023) favor a magnetar model. Various ideas have been proposed to explain these characteristics, but the reasons for the presence of the C ii lines are still poorly understood. In this paper we present an extensive dataset for SN 2020zbf, a fast-rising SLSN-I with peculiar features in its early spectrum that initially led to an incorrect redshift estimation. A medium- resolution X-shooter spectrum displays three strong C ii lines, indicating that SN 2020zbf belongs to the C-rich SLSN-I sub- class. We performed an extensive investigation of the observed data, modeling the light curve and comparing the high-quality spectra with synthetic models. This allowed us to explore var- ious combinations of power sources and progenitor stars that could result in these spectral signatures. This object, along with other rare SLSNe, may challenge the conventional classification scheme by demonstrating how diverse even the SLSN-I class may be, with implications for both progenitor populations and explosion mechanisms. This paper is structured as follows. In Sect. 2 we present the photometric and spectroscopic observations of SN 2020zbf as well as the photometric measurements of the host galaxy. In Sect. 3 we analyze the light curve properties, compare them with those of well-studied SLSNe-I, and apply blackbody fits to derive the photospheric temperatures and radius. In Sect. 4 we analyze the spectral properties of SN 2020zbf. We compare the light curves and the early and the late photospheric spec- tra with those of typical SLSNe-I in the literature as well as C- rich objects in Sect. 5. In Sect. 6 we compare existing synthetic spectra with our high-quality X-shooter spectrum. We model the multiband light curves of SN 2020zbf under the assump- tion that they are powered by three distinct power sources in Sect. 7. In Sect. 8 we discuss the properties of the host galaxy. We discuss the results and provide possible scenarios in Sect. 9 and summarize our findings in Sect. 10. Throughout this paper we assume a flat Lambda cold dark matter cosmol- ogy with H0 = 67.4 km s−1 Mpc−1, ΩM = 0.31, and ΩΛ = 0.69 (Planck Collaboration VI 2020). A20, page 2 of 26 Gkini, A., et al.: A&A, 685, A20 (2024) Legacy Survey g/r/i (pre-explosion) 20" N E LCO g/r/i 11 November 2020 Fig. 1. Images of the field of SN 2020zbf. Left: Legacy Survey DR10 image of the field of SN 2020zbf before explosion. A faint host galaxy at the SN position is visible, marked by the white crosshairs. Right: gri composite image of the SN near peak from Las Cumbres Observatory (LCO). Both images have a size of 2 × 2 arcmin and have been combined following the algorithm in Lupton et al. (2004). 2. Observations 2.1. Discovery and classification SN 2020zbf was discovered by the Asteroid Terrestrial-impact Last Alert System (ATLAS; Tonry et al. 2020) on Novem- ber 8, 2020, as ATLAS20bfee at an orange-band magnitude of 18.92 mag at right ascension, declination (J2000) 01h58m01.65s, −41◦20′51.89′′. It was classified by the extended Public ESO Spectroscopic Survey for Transient Objects (ePESSTO+; Smartt et al. 2015) as a SLSN-I (see Sect. 4.1) on November 9, 2020 (Ihanec et al. 2020). An image of the field showing the host galaxy from the Legacy Survey (Dey et al. 2019), as well as an image showing the SN near peak, are shown in Fig. 1. We adopted a redshift of z = 0.1947 (see Sect. 4.1) and computed the distance modulus to be 39.96 mag. In order to compute the Milky Way (MW) extinction, we used the dust extinction model of Fitzpatrick (1999) based on RV = 3.1 and E(B − V) = 0.014 mag (Schlafly & Finkbeiner 2011). As for the host galaxy extinction, we find that the host of SN 2020zbf is a faint, blue dwarf galaxy, quite typical of SLSN-I host galax- ies (Sect. 8; Lunnan et al. 2014; Perley et al. 2016; Schulze et al. 2018). The host galaxy analysis supports moderate host extinc- tion [E(B−V)host = 0.22+0.20−0.22 mag]. However, given that the host properties are consistent with no extinction within the uncer- tainties, we did not apply any host galaxy extinction correction to the light curves. The estimated epoch of maximum light is November 11, 2020, MJD = 59 164.8 (see Sect. 3.2). 2.2. Photometry 2.2.1. ATLAS ATLAS is a wide-field survey consisting of four telescopes that scan the whole sky with daily cadence (Tonry et al. 2018). ATLAS observes in two wide filters, the cyan (c) and orange (o) down to a limiting magnitude of ∼19.7 mag (Tonry 2011) and the data are processed using the pipeline described in Stalder et al. (2017). We retrieved forced photometry from the ATLAS forced photometry server1 (Tonry et al. 2018; Smith et al. 2020; 1 https://fallingstar-data.com/forcedphot/ Shingles et al. 2021) for both c and o filters. We computed the weighted average of the fluxes of the observations on nightly cadence. We performed a quality cut of 3σ in the resulting flux of each night for each filter and converted them to the AB magni- tude system. The resulting data span from −22 to +68 rest-frame days post maximum light and the observed photometry is listed in Table A.1. 2.2.2. Las Cumbres Observatory SN 2020zbf was monitored by ePESSTO+ between November 2020 and December 2021 using the Las Cumbres Observatory (LCO) in the BgVriz filters. The data were collected using the 1-m telescopes on South African Astronomical Observatory, Cerro Tololo Inter-american Observatory and Siding Spring Observatory. Reference images to perform image subtraction were taken in September 2022. We performed photometry using the AUTOmated Pho- tometry of Transients (AUTOPhoT2) pipeline developed by Brennan & Fraser (2022). AUTOPhoT removes host galaxy con- tamination through image subtraction using the HOTPANTS (Becker 2015) software. The instrumental magnitude of the SN is measured through point-spread function fitting and the zero point in each image is calibrated with stars from the Legacy Survey (Dey et al. 2019) and SkyMapper Southern (Onken et al. 2019) catalogs. The LCO light curve covers the range from 0 to 180 rest-frame days post maximum light. For nights with mul- tiple exposures, we computed the weighted average. We do not discuss the z-band photometry because of the poor quality of these images. The final photometry is listed in Table A.1. 2.2.3. Neil Gehrels Swift Observatory SN 2020zbf was observed with the UV/Optical Telescope (UVOT; Roming et al. 2005) on the Neil Gehrels Swift Obser- vatory (Gehrels et al. 2004) in all six filters, ranging from ultra- violet (UV) to visible wavelengths. The UVOT photometry is 2 https://github.com/Astro-Sean/autophot A20, page 3 of 26 Gkini, A., et al.: A&A, 685, A20 (2024) Table 1. Host galaxy photometry. Instrument/Filter Brightness (mag) LS/g 22.58 ± 0.03 LS/r 22.02 ± 0.03 LS/i 21.85 ± 0.05 LS/z 21.69 ± 0.06 DES/y 21.56 ± 0.24 Notes. All magnitudes are reported in the AB system and are not cor- rected for MW extinction. retrieved from the NASA Swift Data Archive3 and processed using UVOT data analysis software HEASoft version 6.194. The reduction of the images is achieved by extracting the source counts from the images within a radius of 3 arcseconds and the background was estimated using a radius of 48 arcseconds. We used the Swift tool UVOTSOURCE to extract the photometry using the zero points from Breeveld et al. (2011) and the calibration files from September 2020. The four UVOT epochs cover the range +12 to +24 rest- frame days past maximum, in all six UVOT filters. Since we have LCO B- and V-band data with better coverage, we omitted UVOT B- and V-band data from further analysis. The photome- try is listed in Table A.1. 2.3. Host galaxy photometry We retrieved the science-ready images from the DESI Legacy Imaging Surveys (Dey et al. 2019) Data Release (DR) 10 and complemented the dataset with archival y-band observations from the Dark Energy Survey DR 1 (Abbott et al. 2018). The photometry was extracted with the aperture-photometry tool pre- sented by Schulze et al. (2018)5. Table 1 summarizes all mea- surements. 2.4. Spectroscopy We obtained six low-resolution spectra of SN 2020zbf between November 9, 2020, and January 19, 2021, with the ESO Faint Object Spectrograph and Camera 2 (EFOSC2; Buzzoni et al. 1984) on the 3.58 m ESO New Technology Telescope (NTT) at the La Silla Observatory in Chile under the ePESSTO+ pro- gram (Smartt et al. 2015). We complemented this dataset with one medium-resolution spectrum on November 18, 2020, with the X-shooter spectrograph (Vernet et al. 2011) on the ESO Very Large Telescope (VLT) on Paranal, Chile. The spectral log is pre- sented in Table B.1. The NTT spectra were reduced with the PESSTO6 pipeline. The observations were performed with grisms #11, #13, and #16 using a 1′′.0 wide slit. The integration times varied between 900 and 5400 s. The spectrum taken on December 8, 2020, is excluded from the analysis due to the poor signal-to-noise ratio (S/N). The X-shooter observations were performed in nodding mode using 1′′.0, 0′′.9, 0′′.9 wide slits for the UV, visible (VIS), 3 https://heasarc.gsfc.nasa.gov/cgi-bin/W3Browse/ swift.pl 4 https://heasarc.gsfc.nasa.gov/ 5 https://github.com/steveschulze/Photometry 6 https://github.com/svalenti/pessto and near-infrared (NIR) arms, respectively and were reduced using the ESO X-shooter pipeline. The procedure is the fol- lowing; first the removal of cosmic-rays is done using the tool astroscrappy7, based on the algorithm of van Dokkum (2001), then the data were processed with the X-shooter pipeline v3.6.3 and the ESO workflow engine ESOReflex (Goldoni et al. 2006; Modigliani et al. 2010) and finally telluric absorption features in the VIS arm were removed with the Molecfit version 4.3.1 (Smette et al. 2015; Kausch et al. 2015). The wavelength cali- bration of all spectra was adjusted to account for barycentric motion. The spectra of the individual arms were stitched together by averaging the overlap regions. Each spectrum was flux calibrated against standard stars. The spectral evolution from −2.4 to +57 rest-frame days past maximum brightness are depicted in Fig. 2. All the spectra are uploaded on the WISeREP8 archive (Yaron & Gal-Yam 2012). 3. Light curve analysis We estimated the absolute magnitudes in each filter using the following expression: M = m − µ − AMW − Kcorr, (1) where m is the apparent magnitude, µ is the distance modulus, AMW is the extinction caused by the MW and the last term is associated with the K-correction. The K-correction relates the photometric bandpasses in the rest frame and observer frame. It can be separated into two terms; the first term corrects for the redshift and the second term also for the shape of the spec- trum (Hogg et al. 2002). In this case, we considered only the first term, −2.5 log(1 + z), which is a good approximation for the total K-correction as shown in Chen et al. (2023a). We estimate Kcorr = −0.19 mag for all bands and epochs. The multiband light curve in apparent and absolute magnitude systems are shown in Fig. 3. 3.1. Time of first light The rising part of the light curve was only observed with ATLAS, since LCO follow-up was triggered only after the SN was classified near peak light. Figure 3 shows the most recent upper limits in the ATLAS c and o filters before the first detections (from forced photometry) at MJD 59 137.5 and MJD 59 147.3, respectively. Initially, we fit both the c and o fil- ters separately to calculate the time of first light. However, we find that the estimated best-fit time of first light in the o band is later than the first c-band detection. This can be understood from Fig. 3, since the last non-detection in the o band (20.54 mag) is also after the first c-band detection. We therefore used the bluer c band for the calculation of first light, despite the o band being better sampled. The contemporaneous detection in the c band and the non-detection in the o band sets a limit on the color at this time to c − o < 0.3 mag. Following Miller et al. (2020), we fit a Heaviside step func- tion multiplied by a power law to simultaneously fit the pre- explosion baseline and the rising light curve in the ATLAS c filter. Using the PYTHON module emcee (Foreman-Mackey et al. 2013) the power-law index αc is estimated to be 0.68+0.15−0.14 and the time of first light to be MJD 59 135.4+1.3−2.1. We note that these error bars only account for the statistical errors in the fit and 7 https://github.com/astropy/astroscrappy 8 https://www.wiserep.org A20, page 4 of 26 Gkini, A., et al.: A&A, 685, A20 (2024) 3000 4000 5000 6000 7000 8000 Rest-frame wavelength (Å) 2 1 0 1 2 Sc al ed F + o ffs et (e rg s 1 c m 2 Å 1 ) -2.4 d +2.7 d +4.3 d +33.6 d +43.7 d +57 d Fig. 2. Spectral sequence of SN 2020zbf from −2.4 to +57 rest-frame days. We highlight the X-shooter spectrum in purple. An offset in flux was applied for illustration purposes. The spectra are corrected for the MW extinction and are smoothed using a Savitzky-Golay filter. The original data are presented in lighter colors. See Sect. 4.2 for details on line identification. not for any systematic errors associated with the method chosen. The approach in Miller et al. (2020) is based on the modeling of a different type of SN and the uncertainty in the explosion date in SN 2020zbf may be larger due to qualitative differences in the rise of SLSNe-I (Nicholl et al. 2015). 3.2. Peak magnitude, timescales, and color evolution To estimate the epoch of the maximum light as well as vari- ous light-curve timescales, we interpolated the c- and the g-band light curves. We applied the method from Angus et al. (2019) for the light-curve interpolation and fit a Gaussian process (GP) regression. To do this, we utilized the PYTHON package GEORGE (Ambikasaran et al. 2015) with a Matern 3/2 kernel. The c- and g-band photometric data with the resulting inter- polations are shown in Fig. 4. The g-band light curve is already declining by the first observation, and we took the first data point as a lower limit on the g-band peak absolute magnitude: Mg is −21.18±0.07 mag, observed at MJD 59164.8. This in turn gives an upper limit in the rise time of .26.4 rest-frame days, includ- ing the 2.1 days statistical error on the estimated time of first light. A20, page 5 of 26 Gkini, A., et al.: A&A, 685, A20 (2024) 26 24 22 20 18 16 14 Ab so lu te M ag ni tu de (m ag ) 100 50 0 50 100 150 200 Rest-frame days past peak 12 14 16 18 20 22 24 26 Ap pa re nt M ag ni tu de (m ag ) UVOT-UVW2 -8 UVOT-UWM2 -6 UVOT-UVW1 -4.5 UVOT-U -2 LCO-B -1 LCO-g ATLAS-c +1 LCO-V +2 LCO-r +3 ATLAS-o +4 LCO-i +5 NTT/EFOSC2 VLT/X-shooter Fig. 3. UV and optical light curves of SN 2020zbf. The magnitudes are corrected for MW extinction and cosmological K-correction. Upper limits are presented as downward-pointing triangles in a lighter shade. The phase of the first detection is marked with a vertical dashed line and the epochs of the spectra are marked as thick lines at the top of the figure. The zero value on the x-axis is with respect to the g-band maximum (MJD 59 164.8). The rise and decline timescales of the light curve described in Chen et al. (2023a) are determined using the c-band interpolated light curve and the maximum Mg. The rest-frame rise time from the half maximum flux (Fg,peak/2) is 12.2+1.2−2.4 days and from 1/e maximum flux (Fg,peak/e) is 15.9+1−1.1 days. We estimated the rest- frame decline times using the g-band interpolated light curve. The decline time to the half maximum flux is 26.86+1.44−1.44 days and to the 1/e maximum flux is 41.9+2−1.9 days. These are shown in gray lines in Fig. 4. In Fig. 5, we put the light curve properties of SN 2020zbf in the context of the homogeneous Zwicky Transient Facil- ity (ZTF; Bellm et al. 2019) SLSN-I sample from Chen et al. (2023a). This paper studied the UV and optical photometric properties of 78 H-poor SLSNe-I. In the three different panels, we show the kernel density estimates (KDEs) of the ZTF sample, which are an outcome of a Monte Carlo simulation accounting for the asymmetric errors, and indicate by the red vertical lines the measurements for SN 2020zbf. The peak absolute magnitude is fairly average, being slightly fainter than the median value of the SLSNe-I. In contrast, the rise time of SN 2020zbf is among the fastest seen for SLSNe-I, whereas the decline is again rather average. To construct the g−r color evolution of SN 2020zbf, we used the g- and r-band interpolated light curves and plot the results in Fig. 6. For comparison, we present the reddening corrected g − r colors of the SLSNe-I from the ZTF sample of Chen et al. (2023a) with redshifts within ±0.02 of SN 2020zbf’s redshift (in order to facilitate comparison at similar effective wavelengths). Although the g − r color evolution of SN 2020zbf follows the general trend of the ZTF sample, by getting redder over time, it evolves more slowly than other SLSNe-I showing a consistently bluer color. 3.3. Photospheric temperature and radius We interpolated all the UVOT and LCO light curves using the GP method described in Sect. 3.2 and extracted the magni- tudes using the V-band epochs as reference since it has the most observed epochs. We excluded the ATLAS filters because they are significantly broader than the LCO filters. We con- structed the spectral energy distributions (SEDs) by calculat- ing the spectral luminosities Lλ for each band, at each of the 14 past-peak epochs, and fit a blackbody utilizing the scipy.optimize.curvefit9 module. Due to line blanket- ing (Yan et al. 2017b), we excluded the UVOT data from the 9 https://docs.scipy.org/doc/scipy/reference/generated/ scipy.optimize.curve_fit.html A20, page 6 of 26 Gkini, A., et al.: A&A, 685, A20 (2024) 40 20 0 20 40 60 80 100 Rest-frame days past peak 21.5 21.0 20.5 20.0 19.5 19.0 18.5 Ab so lu te m ag ni tu de Mg peak Mg at Fg, peak/2 Mg at Fg, peak/e LCO-g ATLAS-c Fig. 4. Gaussian process interpolation of ATLAS c- and LCO g-band light curves. The peak magnitude in the g band, Mg, is indicated with the vertical line and the various rise and decline times with the horizontal lines. 23.022.522.021.521.020.520.019.5 Mg peak magnitude 0.2 0.4 SN 2020zbf Median 0 20 40 60 80 100 120 trise, 1/e (days) 0.00 0.01 0.02 0.03 De ns ity 0 20 40 60 80 100 120 tdecline, 1/e (days) 0.00 0.01 0.02 Fig. 5. Comparison of the photometric properties of SN 2020zbf with the ZTF SLSN-I sample (Chen et al. 2023a). Top: KDE distribution of the Mg peak magnitudes for 78 ZTF SLSNe-I. Middle: KDE plot of the e-folding rise time for 69 ZTF SLSNe-I. Bottom: e-folding decline time distribution for 54 ZTF SLSNe-I. The vertical red line along with the errors (shaded red regions) illustrate the position of SN 2020zbf and the black vertical lines the median values. blackbody fits. The resulting photospheric BgVri temperature and radius evolution are plotted in Fig. 7. To check whether there is consistency with the spectral mea- surements, we estimated the temperature and the radius by fit- ting a blackbody to the spectra taken in the early photospheric phase. We first absolute-calibrated the spectra with the photo- metric data before template subtraction and then corrected them for the MW extinction. The results are shown in Fig. 7 along with the SLSNe-I from the Chen et al. (2023a) sample in light gray. We chose to compare with the ZTF SLSNe-I, which are characterized as normal events by Chen et al. (2023a), excluding 40 20 0 20 40 60 80 100 Rest-frame days past peak 0.5 0.0 0.5 1.0 1.5 g r c ol or (m ag ) SN 2020zbf Chen et al.(2023a) with 0.184 M ) carbon-oxygen CSM. We conclude that the light curve shape is also consistent with a CSM model, but more careful modeling outside the scope of this paper is neces- sary to explore the possible progenitor and CSM structure. 8. Host galaxy The left panel of Fig. 1 shows the Legacy Survey image of the field around SN 2020zbf. A small galaxy is visible at the SN location; the reported LS photometry corresponds to an abso- lute magnitude Mg = −17.1 mag (at an effective wavelength of ∼4000 Å), similar to the Large Magellanic Cloud. 8.1. Galaxy SED modeling We modeled the observed SED (black data points in Fig. 19, tabulated in Table 1) with the software package Prospector version 1.1 (Johnson et al. 2021)10. We assumed a Chabrier ini- tial mass function (Chabrier 2003) and approximated the star 10 Prospector uses the Flexible Stellar Population Synthesis (fsps) code (Conroy et al. 2009) to generate the underlying physical model and Python-fsps (Foreman-Mackey et al. 2014) to interface with Fsps in Python. The Fsps code also accounts for the contribution from the diffuse gas based on the Cloudy models from Byler et al. (2017). We used the dynamic nested sampling package Dynesty (Speagle 2020) to sample the posterior probability. 103 104 Observed wavelength (Å) 19 20 21 22 23 Br ig ht ne ss (m ag ) Fig. 19. SED of the host galaxy from 1000 to 60 000 Å (black data points). The solid line represents the best-fitting model of the SED. The red squares represent the model-predicted magnitudes. The fitting parameters are shown in the upper-left corner. The abbreviation “n.o.f.” stands for the number of filters. formation history (SFH) as a linearly increasing SFH at early times followed by an exponential decline at late times [func- tional form t × exp (−t/τ), where t is the age of the SFH episode and τ is the e-folding timescale]. The model is attenuated with the Calzetti et al. (2000) model. The priors of the model param- eters are set identically to those used by Schulze et al. (2021). Figure 19 shows the observed SED (black dots) and its best fit (gray curve). The SED is adequately described by a galaxy template with a log10 mass of 8.68+0.18−0.22 M , and a star formation rate of 0.24+0.41−0.12 M yr −1. A20, page 16 of 26 Gkini, A., et al.: A&A, 685, A20 (2024) 8.2. Emission line diagnostics The X-shooter spectrum shows a number of narrow emission lines from the galaxy seen atop the SN continuum (see Fig. 9). After calibrating this spectrum to the photometry and correct- ing for MW extinction, we measured the line fluxes by fitting Gaussian line profiles. The resulting flux values are listed in Table 3. We measured the host galaxy extinction using the Balmer decrement, finding a value of Hα/Hβ = 3.7 ± 1.0. This is larger than the theoretical ratio of 2.87 (assuming Case B recom- bination and a temperature of 10 000 K; Osterbrock & Ferland 2006); however, the noisy Hβ measurement means it is also con- sistent with the theoretical value within the error. Assuming a Calzetti et al. (2000) reddening law with RV = 3.1, we estimate E(B − V)host = 0.22+0.20−0.22 mag. This is consistent with the value from the SED modeling. Given the large uncertainty in the extinc- tion and the dwarf nature of the host galaxy, we did not apply any host galaxy extinction correction to the SN photometry. No auroral lines are detected in the spectrum of SN 2020zbf, so we are limited to strong-line metallicity indicators. Given the large uncertainty in the extinction, we prefer indicators that use ratios of nearby lines and are therefore less sensitive to the host extinction, such as N2 or O3N2 (Pettini & Pagel 2004). Using the calibration of Marino et al. (2013) as imple- mented in the PyMCZ package (Bianco et al. 2016), we calcu- lated 12 + log(O/H) = 8.31+0.04−0.05 dex using O3N2. Taking the solar value to be 12 + log(O/H) = 8.69 dex (Asplund et al. 2021), this corresponds to a metallicity Z = 0.4Z . We converted the Hα flux to a star formation rate following SFR(M yr−1) = 7.9 × 10−42× L (Hα) erg s−1 (Kennicutt 1998). This gives a star formation rate of 0.12 M yr−1 after correcting for extinction, and 0.07 M yr−1 if assuming zero host extinction. This is slightly lower than, but consistent with, what is inferred from the SED modeling. Taken together, the properties of the host galaxy of SN 2020zbf are quite typical of SLSN-I host galaxies (e.g., Lunnan et al. 2014; Leloudas et al. 2015; Angus et al. 2016; Perley et al. 2016; Chen et al. 2017; Schulze et al. 2018). The luminosity, mass, and metallicity are all consistent with a dwarf galaxy and are near the center of the distribution seen for the hosts of these transients. Thus, even though some of the SN prop- erties are unusual, the host galaxy environment is not. 9. Discussion 9.1. Powering mechanisms 9.1.1. Can SN2020zbf be powered by a magnetar? In Sects. 6 and 7, comparisons of the X-shooter spectrum with tabulated spectra from physical SLSN models, as well as pho- tometric modeling with MOSFiT, result in a preference toward a magnetar-powered model with a low ejecta mass (3.63 M and 1.51 M , respectively). We note that the synthetic spectra of Dessart (2019) have not been modeled to match SN 2020zbf or any other SLSN, but qualitatively match SN 2020zbf well, which strengthens the hypothesis of a low ejecta-mass magnetar- powered event for SN 2020zbf. The similarity with the mag- netar properties estimated for typical SLSNe-I in Chen et al. (2023b) shows that the existence of low ejecta mass SLSNe-I powered by a magnetar is feasible. The correlation between the low ejecta mass and the high spin period (P = 5.6 ms) in SN 2020zbf is in agreement with the studies of Blanchard et al. (2020), Hsu et al. (2021) and Chen et al. (2023b), and indicates Table 3. Observed host galaxy emission line fluxes (corrected for MW extinction). Line Flux (10−17 erg s−1cm−2) [S ii] λ6731 1.61 ± 0.28 [S ii] λ6717 2.27 ± 0.37 [N ii] λ6584 1.18 ± 0.46 Hα λ6563 8.35 ± 0.57 [O iii] λ5007 3.71 ± 0.68 [O iii] λ4959 1.22 ± 0.46 Hβ λ4861 2.25 ± 0.58 [O ii] λ3729 5.65 ± 0.93 [O ii] λ3727 2.63 ± 0.63 that low-mass ejecta SLSNe-I require less central power with slower-spinning neutron stars. SN 2020zbf presents unusually strong C ii emission lines in its early spectra, which likely require the energy from the mag- netar to be absorbed in the outer layers where the C is more abundant. The low-mass ejecta could be a critical factor in pro- ducing these lines, for which the extra energy from the magnetar is not completely absorbed in the inner O-rich region, diffuses out and thermally excites the C . If the ejecta mass was the only key for the presence of strong C ii lines in the early spectra, we would expect all the low ejecta mass SLSNe-I to present strong C ii features, and these features to be absent for higher ejecta masses. In Dessart (2019), some of the models with higher ejecta masses (Mej = 9.6 M ) and similar magnetar properties as SN 2020zbf still present strong C ii lines, which Dessart (2019) explains with the presence of a C-rich shell in the outermost layers of the ejecta. These lines also vanish as the photosphere recedes into the inner layers where C is less abundant. In addition, the three objects in the C-rich sam- ple (SN 2018bsz, SN 2020wnt and SN 2017gci) that have been fit with a magnetar model, cover a wide range of magnetar prop- erties (B = 2–6× 1014 G and P = 2.8–7 ms) and show a prefer- ence for higher ejecta masses (Mej = 9–26 M ) than SN 2020zbf. Thus, we speculate that different scenarios including the ejecta mass, the magnetar properties and, the mass fraction of C in the progenitor might be the keys in producing strong C ii lines in the spectra. The main discrepancy in the C ii lines between the magnetar model and our observations is the lack of P-Cygni profiles seen in our spectra. However, based on the similarities of both the light curves and spectra, we conclude that the magnetar-powered explosion of a low-mass, C-rich progenitor star is a viable expla- nation for the observed properties of SN 2020zbf. 9.1.2. Can SN2020zbf be powered by CSM interaction? Another mechanism that has been suggested to power SLSN-I light curves, is CSM interaction (e.g., Chatzopoulos et al. 2012; Sorokina et al. 2016; Wheeler et al. 2017), in which the kinetic energy of the ejecta is converted into radiation (e.g., Zel’dovich & Raizer 1967). The exploration of this scenario is done under two assumptions; the C ii lines are pure emission and the energy deposition in the outer layers of the ejecta results from interaction rather than from a magnetar. The absence of H and He and the presence of strong C ii emission features in the spectra indicates a possible interaction A20, page 17 of 26 Gkini, A., et al.: A&A, 685, A20 (2024) of the SN ejecta with CO CSM (Woosley et al. 2007; Blinnikov & Sorokina 2010; Chevalier & Irwin 2011; Chatzopoulos et al. 2012; Quataert & Shiode 2012; Sorokina et al. 2016). Chen et al. (2023b) estimated between 25% and 44% of SLSNe-I are preferentially fit by the H-poor CSM models. Sorokina et al. (2016), using hydro-simulations, succeeded to reproduce the light curves of SN 2010gx (Pastorello et al. 2010) and PTF09cnd (Quimby et al. 2011) with CSM interaction based on the ejecta mass, density structure, explosion energy, expansion of the CSM and C/O ratio. Moreover, Tolstov et al. (2017), using radiation- hydrodynamics calculations, modeled PTF12dam and found that interaction with CSM ejected due to the pulsational pair- instability mechanism (Barkat et al. 1967) can describe the light curve. Suzuki et al. (2020) found a systematic relation between peak bolometric luminosity and rise time depending on the kinetic energy, CSM mass, CSM radius and ejecta mass. SN 2020zbf, if powered by interaction, falls in the regime of 1 M ejecta, 3 M CSM and 0.5 × 1051 erg kinetic energy when considering its peak bolometric luminosity and the rise time. Khatami & Kasen (2023) define four light-curve classes based on the parameters of the CSM/ejecta configuration and a qual- itative comparison of SN 2020zbf shows that it belongs to the interior breakout–heavy CSM (MCSM > Mej) class in which the shock breakout occurs within the CSM (Ginzburg & Balberg 2012; Dessart et al. 2015). In addition, the peak light – rise time relation in Khatami & Kasen (2023) shows that for SN 2020zbf the CSM mass is estimated between 1 and 10 M toward the lower limit. Janka (2012) showed that neutrino-driven SN explosions cannot explain kinetic energies larger than ∼2× 1051 erg. Since the kinetic energy of SN 2020zbf is estimated to be ∼0.8× 1051 erg and assuming that the explosion mechanism in an interaction-dominated SN is driven by neutrinos, it is possible the main power source of SN 2020zbf could be CSM interaction. On the other hand, there are no spectral models that can fit the line shapes in the SLSN-I spectra in the case of interaction with CO CSM. The C ii line profiles in the spectra of SN 2020zbf are asymmetric, showing a conspicuous tail extending to the red, which indicates a multiple electron scattering effect (e.g., Jerkstrand 2017). However, it is unknown what CSM configura- tion could give rise to the sharp peak in the C ii lines. As discussed above, the C ii lines in SN 2020zbf vanish with time except for the line at 6580 Å. Pursiainen et al. (2022) stud- ied the C-rich SLSN-I SN 2018bsz and concluded that at +24 days post-maximum the C ii at 6580 Å is replaced by Hα. Late hydrogen emission has also been observed in the C-rich SLSN-I PTF10aacg (Yan et al. 2015) at +75 days post-maximum. Both objects have been explained with aspherical CSM interaction. Late-time interaction with spherical CSM resulting in Hα emis- sion has been seen in other SLSNe-I (e.g. Yan et al. 2015, 2017a; Fiore et al. 2021) and Yan et al. (2015) estimate that at least 15% of SLSNe-I interact with previously ejected H-rich material at late times. The evolution of the C ii lines of SN 2020zbf shows a similar pattern as for SN 2018bsz, but there is no obvious absorption component blueward of 6580 Å in SN 2020zbf. Furthermore, there is no indication of Hβ and Hγ appearing, but this can be limited by the low S/N of the spectra. However, due to the weak- ness of the other C ii lines, we can assume that this feature is more likely dominated by another ion rather than C ii. Addition- ally, the epoch of the studied spectrum falls in the period of a short (∼15 days) plateau in the LCO light curve between +30 and +45 days past peak, which, if real, could be an indication of interaction. On the other hand, the shape of the SN 2020zbf light curve could imply a combination of different mechanisms such as interaction early on followed by a magnetar power source. However, due to the possible presence of Hα in the spectra, the plateau is more likely to be associated with interaction with H-rich material located at .4.5× 1015 cm (vej × 43.7 days; due to the low coverage this value is set as an upper limit). The multi- ple CSM layers are consistent with the pulsational pair instability model (Woosley 2017) that has been suggested as a mechanism for SLSNe (Woosley et al. 2007). In reality, SN 2020zbf could be powered by both a magnetar and CSM interaction. The preferred magnetar 5p11Bx2 model could well be correct giving a very good match with SN 2020zbf spectra with a preference to low ejecta mass, but there could also be some CO CSM contributing mainly to the line profiles (sharply peaked emission C ii lines) and slightly to the light curve. One possible way to break the degeneracy between the two powering mechanisms would be with radio observations. Both CSM interaction and magnetars are expected to pro- duce detectable radio emission, but the timescales should be very different. Radio emission from CSM interaction should be produced within the first few years, while with a magne- tar engine, the emission should not be detectable until around a decade (Omand et al. 2018). Two SLSNe have been detected in radio so far, PTF10hgi (Eftekhari et al. 2019; Law et al. 2019; Mondal et al. 2020; Hatsukade et al. 2021), which is consis- tent with the magnetar model, and SN 2017ens (Margutti et al. 2023), which is consistent with CSM interaction. Omand et al. (2018) also show that for the magnetar model, SLSNe with lower ejecta masses, similar to SN 2020zbf, produce brighter radio emission at earlier times, which may make SN 2020zbf a good candidate for follow-up observations. 9.2. Progenitor Previous studies in the literature have suggested that the host galaxies of SLSNe-I have low metallicity and high star forma- tion rate (e.g., Leloudas et al. 2015) while Chen et al. (2017) found that host galaxies of SLSN-I progenitors have a metal- licity cut-off at 0.5 solar metallicity (see also Perley et al. 2016; Schulze et al. 2018). Given the spectroscopic similarities of SLSNe-I with stripped-envelope SNe (Pastorello et al. 2010), there are two main scenarios for the progenitor stars; single WR stars (e.g., Georgy et al. 2009) and stars in binary systems (e.g., Nomoto et al. 1990; Yoon et al. 2010). The possibly identified progenitors of SN-Ib iPTF13bvn (Cao et al. 2013) and SN-Ic SN 2017ein (Van Dyk et al. 2018) have been discussed in the context of both these scenarios (Groh et al. 2013; Bersten et al. 2014; Van Dyk et al. 2018). In addition, Pursiainen et al. (2022) argue that for SN 2018bsz both a single WR star and a star in a binary system are possible. Nicholl et al. (2017) show that SLSNe-I result from CO cores with MCO ≥ 4 M , which cor- responds to MZAMS ≥ 20 M (Yoon et al. 2010) comparing with the simulations of Yoon et al. (2006) at comparable metallicities. Rapid rotation might be the key to magnetar formation since the angular momentum needed to form a millisecond magne- tar requires CO cores with initial rotational velocities >200– 300 km s−1 (Yoon et al. 2006). On the other hand, de Mink et al. (2013) showed that binarity could also supply the necessary angular momentum to the stars, either through merging or Roche lobe overflow. Nicholl et al. (2017) argue that the rapid rotation of SLSN-I progenitors plays a crucial role, with the A20, page 18 of 26 Gkini, A., et al.: A&A, 685, A20 (2024) progenitor mass and the low metallicity being consequences of this. SN 2020zbf has been characterized as type Ic due to the absence of H and He in the spectra, which is associated with H and possibly He envelope losses in the progenitor star by stel- lar winds or mass transfer in a binary system before the explo- sion. In the case of a magnetar-powered event, the dominance of C instead of O in the spectra would potentially imply an initially high fraction of C in the progenitor star. The best-fit 5p11Bx2 model (see Sect. 6) from Dessart (2019) corresponds to an initial massive 60 M ZAMS star in a binary system that has stripped the hydrogen envelope through mass transfer during core hydrogen burning. It has lost the He envelope, and its sur- face is within the C-rich part of the CO core (Yoon et al. 2010; Dessart et al. 2015). This progenitor could be associated with a carbon-type WC star that ends with a final mass of 5.11 M and it can create a SN-Ic with 3.63 M ejecta from which 0.89 M is C and 1.40 M is O. The appearance of strong C ii lines in the spectra of SN 2020zbf around peak and their vanishing in the late-time spectra is consistent with the stratification of the 5p11 model, in which the outer ejecta are enriched in C. The modeling of the light curve with MOSFiT results in a progenitor pre-SN star of 3.1 M (Mej + MNS). Both the light curve mod- eling and the spectral comparison show a low-mass progenitor star at explosion with masses between 3 and 5 M , lower than the median value of 6.83+4.04−2.45 M in Chen et al. (2023b) but not unprecedented since there are a few progenitor systems in the ZTF sample with similar values to SN 2020zbf. In the case of the CSM interaction, the early photospheric spectra could point toward an interaction with CO material expelled before the explosion. The comparison with different CSM models shows that the progenitor star (Mej + MCSM + 1.4 M , a typical value for a neutron star; Lattimer & Prakash 2007) is between 6 and 10 M (6.4 M ; Chatzopoulos et al. 2013, 5.4 M ; Suzuki et al. 2020, <10 M ; Khatami & Kasen 2023), lower than the value of 17.92+24.11−9.82 M in Chen et al. (2023b) but still not extraordinary. However, taking into account the preference of all the models in low ejecta mass (0.22–3 M ), the fast rise time in the SN 2020zbf’s light curve, and the fact that the CSM might have been expelled well in advance and should not be considered in the mass of the pre-SN progenitor, we con- clude that the progenitor star at explosion is estimated to be in the range of 2–5 M . Anderson et al. (2018) studied the SLSN-I SN 2018bsz in particular for the strong C ii and they concluded that these lines are produced by a magnetar-powered explosion of a massive C- rich WR progenitor (11.4 M pre-SN mass) in a binary system by comparing qualitatively with magnetar models from Dessart (2019). Considering the good match of the 5p11Bx2 model with the observed spectrum of SN 2020zbf, a possible progenitor sys- tem for SN 2020zbf could be as well a WR in a binary system. Binary interaction could also remove the H-envelope and form a H-rich CSM around SN 2020zbf, with which the ejecta will interact at later times. 9.3. Implications of C-rich SLSNe-I In this work, we have compared SN 2020zbf with H-poor SLSNe that show C ii in emission. The comparison is not with a statisti- cally complete sample of all C-dominated objects but rather with a careful selection of published C-rich objects. Anderson et al. (2018) suggest that the C ii lines in SN 2018bsz stem from the large fraction of C in the progenitor model. Even though we reach the same conclusion for SN 2020zbf, our SN presents stronger lines of C ii, possibly resulting from the lower ejecta mass. On the other hand, PTF10aagc seems to be the best spec- tral match for SN 2020zbf, but no study for the powering mech- anism of that SN has been done so far. Fiore et al. (2021) fit SN 2017gci photometry to synthetic light curves and model the nebular spectra and found that SN 2017gci can be fit well by both a magnetar model and CSM interaction with an ejecta mass of 10 M , although they do not comment on the progenitor’s composition. In SN 2020wnt, the high ejecta mass (∼26 M ; Tinyanont et al. 2023) hides the mag- netar at early times and it was not revealed until the nebular phase. The progenitor star for that SN was suggested to be a massive rotating star with high abundances of C in its outer lay- ers (Tinyanont et al. 2023, their Fig. A.2). The difference in the properties of the SLSN powering mech- anisms reflects the large diversity in the light curves and the spectra of these objects. Carbon is always present in the out- ermost CO layers of the ejecta, and thus, we expect to see it in the spectra of SLSNe-I. However, the presence of lines stronger than for the typical SLSNe-I could imply a distinct mechanism and/or a specific composition in the ejecta. In any case, the pres- ence of strong C ii could indicate a higher amount of C in the ejecta. A detailed analysis of a statistically meaningful C-rich SLSN-I sample is required in the future to understand the mech- anisms for the formation of C ii lines and the properties of their progenitor systems. 10. Conclusions In this work we have studied the H-poor SLSN SN 2020zbf, analyzing photometric data from ATLAS, LCO, and UVOT and spectra taken with NTT+EFOSC and the VLT+X-shooter instru- ment. Our main conclusions are as follows: – SN 2020zbf is a fast-rising SLSN-Ic with a rise time of .26.4 days from the explosion and a peak magnitude of Mg = −21.2 mag. The rise time is on the faster end of the distribution for SLSNe-I. – The early spectra of SN 2020zbf present three strong C ii lines that are not typically seen in normal SLSNe-I. – Both the light curve modeling and the comparison with syn- thetic spectra are consistent with a magnetar-powered SN of a C-rich star with an ejecta mass of about 1.5–3 M . – Alternatively and/or additionally, we argue that the shape and the strength of the C ii lines can also be attributed to an inter- action between low-mass ejecta and a dense CO CSM. – Based on the above modeling, the progenitor is estimated to have a pre-SN mass of between 2 and 5 M . – A potential late-time Hα emission that is accompanied by a knee in the LCO light curve could be an indication of inter- action with H-rich CSM. – The host galaxy has a mass of log(M/M ) = 8.68+0.18−0.22, a star formation rate of 0.24+0.41−0.12 M yr −1, and a metallicity of 0.4Z , similar to typical SLSN-I host galaxies. – There is large variety in the light curves and the spectra of SLSNe with strong C ii, suggesting that many different con- figurations can result in such a spectral signature. This object illustrates the challenges in classifying SLSNe-I by demonstrating how diverse even the SLSN class can be, as well as the implications for both progenitor populations and explo- sion mechanisms. More sophisticated tools for light curve and spectra modeling are required to explain the peculiarities of sim- ilar objects. A20, page 19 of 26 Gkini, A., et al.: A&A, 685, A20 (2024) Acknowledgements. The authors would like to thank the anonymous referee for their comments and suggestions. Based on observations collected at the European Organisation for Astronomical Research in the Southern Hemisphere, Chile, as part of ePESSTO+ (the advanced Public ESO Spectroscopic Survey for Transient Objects Survey). ePESSTO+ observations were obtained under ESO program IDs 106.216 and 108.220C (PI: Inserra). LCO data have been obtained via an OPTCON proposal (IDs: OPTICON 20A/015, 20B/003, 21B/001, 22B/ 002) and as part of the Global Supernova Project. The OPTICON project has received funding from the European Union’s Horizon 2020 research and inno- vation programme under grant agreement No 730890. This work makes use of data from the Las Cumbres Observatory global network of telescopes. The LCO group is supported by NSF grants AST-1911151 and AST-1911225. This work has made use of data from the Asteroid Terrestrial-impact Last Alert System (ATLAS) project. ATLAS is primarily funded to search for near earth asteroids through NASA grants NN12AR55G, 80NSSC18K0284, and 80NSSC18K1575; byproducts of the NEO search include images and catalogs from the survey area. The ATLAS science products have been made possible through the contribu- tions of the University of Hawaii Institute for Astronomy, the Queen’s Uni- versity Belfast, the Space Telescope Science Institute, and the South African Astronomical Observatory. R. Lunnan is supported by the European Research Council (ERC) under the European Union’s Horizon Europe research and inno- vation programme (grant agreement No. 10104229 - TransPIre). S. Schulze acknowledges support from the G.R.E.A.T. research environment, funded by Vetenskapsrådet, the Swedish Research Council, project number 2016-06012. M. Nicholl is supported by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 948381) and by UK Space Agency Grant No. ST/Y000692/1. T.-W. Chen acknowledges the Yushan Young Fellow Program by the Min- istry of Education, Taiwan for the financial support. M. Pursiainen acknowl- edges support from a UK Research and Innovation Fellowship (MR/T020784/1). T. E. Müller-Bravo acknowledges financial support from the Spanish Ministerio de Ciencia e Innovación (MCIN), the Agencia Estatal de Investigación (AEI) 10.13039/501100011033, and the European Union Next Generation EU/PRTR funds under the 2021 Juan de la Cierva program FJC2021-047124-I and the PID2020-115253GA-I00 HOSTFLOWS project, from Centro Superior de Inves- tigaciones Científicas (CSIC) under the PIE project 20215AT016, and the pro- gram Unidad de Excelencia María de Maeztu CEX2020-001058-M. This work was funded by ANID, Millennium Science Initiative, ICN12_009. G. Pignata acknowledges support from ANID through Millennium Science Initiative Pro- grams ICN12_009. C. P. 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Photometric data of SN 2020zbf. MJD Phasea Filter Magnitude Instrumentb (days) (mag) 59137.5 -22.60 c 20.89 ± 0.35 ATLAS 59145.4 -15.90 c 19.65 ± 0.10 ATLAS 59147.3 -14.23 o 19.73 ± 0.21 ATLAS 59157.4 -5.86 o 18.96 ± 0.18 ATLAS 59161.4 -2.51 o 18.87 ± 0.08 ATLAS 59163.4 -0.84 o 18.93 ± 0.07 ATLAS 59164.8 0 B 18.64 ± 0.20 LCO 59164.8 0 g 18.60 ± 0.07 LCO 59164.8 0 V 18.66 ± 0.06 LCO 59164.8 0 r 18.75 ± 0.10 LCO 59164.8 0 i 18.90 ± 0.07 LCO 59169.3 4.19 c 18.79 ± 0.05 ATLAS 59170.8 5.02 B 18.75 ± 0.14 LCO 59170.8 5.02 g 18.76 ± 0.09 LCO 59170.8 5.02 V 18.85 ± 0.14 LCO 59170.8 5.02 r 18.97 ± 0.04 LCO 59170.8 5.02 i 19.28 ± 0.13 LCO 59176.1 10.04 B 18.87 ± 0.13 LCO 59176.1 10.04 g 18.99 ± 0.06 LCO 59176.1 10.04 V 18.98 ± 0.11 LCO 59176.1 10.04 r 19.04 ± 0.08 LCO 59176.1 10.04 i 19.14 ± 0.08 LCO 59178.01 11.73 UVW1 20.50 ± 0.15 Swift/UVOT 59178.01 11.73 U 19.04 ± 0.11 Swift/UVOT 59178.01 11.73 B 18.99 ± 0.14 Swift/UVOT 59178.01 11.73 UVW2 21.67 ± 0.20 Swift/UVOT 59178.01 11.73 V 18.90 ± 0.24 Swift/UVOT 59178.01 11.73 UVM2 21.27 ± 0.15 Swift/UVOT 59179.66 13.11 UVW1 20.62 ± 0.16 Swift/UVOT 59179.66 13.11 U 19.14 ± 0.11 Swift/UVOT 59179.66 13.11 B 19.12 ± 0.15 Swift/UVOT 59179.67 13.11 UVW2 21.33 ± 0.17 Swift/UVOT 59179.67 13.11 V 18.81 ± 0.22 Swift/UVOT 59179.67 13.11 UVM2 21.36 ± 0.16 Swift/UVOT 59181.0 14.23 o 18.89 ± 0.17 ATLAS 59183.0 15.90 o 19.09 ± 0.22 ATLAS 59185.0 17.58 o 19.16 ± 0.16 ATLAS 59185.38 17.90 UVW1 21.20 ± 0.24 Swift/UVOT 59185.38 17.90 U 19.31 ± 0.13 Swift/UVOT 59185.38 17.90 B 19.27 ± 0.18 Swift/UVOT 59185.38 17.90 UVW2 22.62 ± 0.38 Swift/UVOT 59185.38 17.90 V 18.66 ± 0.22 Swift/UVOT 59185.39 17.90 UVM2 21.52 ± 0.19 Swift/UVOT 59186.1 18.41 B 19.16 ± 0.09 LCO 59186.1 18.41 g 19.16 ± 0.07 LCO 59186.1 18.41 V 19.14 ± 0.07 LCO 59186.1 18.41 r 19.26 ± 0.06 LCO 59186.1 18.41 i 19.38 ± 0.05 LCO 59187.3 19.25 o 19.29 ± 0.14 ATLAS 59191.3 22.60 o 19.65 ± 0.14 ATLAS 59193.9 24.27 B 19.28 ± 0.11 LCO 59193.9 24.27 g 19.30 ± 0.16 LCO 59193.9 24.27 V 19.30 ± 0.13 LCO 59193.9 24.27 r 19.11 ± 0.15 LCO 59193.9 24.27 i 19.34 ± 0.19 LCO 59193.27 24.50 UVW1 21.34 ± 0.38 Swift/UVOT 59193.27 24.50 U 19.58 ± 0.22 Swift/UVOT Table A.1. continued. MJD Phasea Filter Magnitude Instrumentb (days) (mag) 59193.27 24.50 B 19.47 ± 0.30 Swift/UVOT 59193.28 24.50 UVW2 22.46 ± 0.53 Swift/UVOT 59193.28 24.50 V 18.73 ± 0.34 Swift/UVOT 59193.28 24.50 UVM2 21.85 ± 0.33 Swift/UVOT 59193.3 24.27 c 19.27 ± 0.10 ATLAS 59195.3 25.95 c 19.50 ± 0.10 ATLAS 59197.3 27.62 c 19.43 ± 0.12 ATLAS 59201.2 30.97 B 19.57 ± 0.08 LCO 59201.2 30.97 g 19.47 ± 0.04 LCO 59201.2 30.97 V 19.35 ± 0.07 LCO 59201.2 30.97 r 19.39 ± 0.08 LCO 59201.2 30.97 i 19.66 ± 0.07 LCO 59203.3 32.64 o 19.45 ± 0.09 ATLAS 59205.3 34.32 o 19.59 ± 0.17 ATLAS 59207.5 35.99 B 19.65 ± 0.19 LCO 59207.5 35.99 V 19.34 ± 0.22 LCO 59207.5 35.99 o 19.41 ± 0.12 ATLAS 59211.3 39.34 o 19.73 ± 0.27 ATLAS 59213.3 41.01 o 19.49 ± 0.28 ATLAS 59215.2 42.69 g 19.60 ± 0.14 LCO 59215.2 42.69 V 19.49 ± 0.17 LCO 59215.2 42.69 r 19.48 ± 0.12 LCO 59215.2 42.69 i 19.42 ± 0.12 LCO 59219.3 46.04 c 19.52 ± 0.09 ATLAS 59221.1 47.71 B 19.83 ± 0.15 LCO 59221.1 47.71 g 19.65 ± 0.28 LCO 59221.1 47.71 V 19.52 ± 0.09 LCO 59221.1 47.71 r 19.53 ± 0.20 LCO 59221.1 47.71 i 19.60 ± 0.10 LCO 59227.1 52.73 B 19.98 ± 0.14 LCO 59227.1 52.73 g 19.87 ± 0.10 LCO 59227.1 52.73 V 19.66 ± 0.13 LCO 59227.1 52.73 r 19.65 ± 0.15 LCO 59227.1 52.73 i 19.74 ± 0.21 LCO 59227.1 52.73 c 19.87 ± 0.12 ATLAS 59229.2 54.40 c 19.75 ± 0.13 ATLAS 59231.3 56.08 c 19.43 ± 0.10 ATLAS 59233.1 57.76 B 20.12 ± 0.15 LCO 59233.1 57.76 g 20.01 ± 0.11 LCO 59233.1 57.76 V 19.79 ± 0.13 LCO 59233.1 57.76 r 19.77 ± 0.19 LCO 59233.1 57.76 i 19.85 ± 0.25 LCO 59239.1 62.78 g 20.18 ± 0.21 LCO 59239.1 62.78 V 19.96 ± 0.22 LCO 59239.1 62.78 r 19.90 ± 0.18 LCO 59239.1 62.78 i 20.10 ± 0.12 LCO 59245.2 67.80 o 20.07 ± 0.26 ATLAS 59246.8 68.64 B 20.54 ± 0.28 LCO 59246.8 68.64 g 20.38 ± 0.15 LCO 59246.8 68.64 V 20.19 ± 0.22 LCO 59258.8 78.68 V 20.39 ± 0.28 LCO 59258.8 78.68 r 20.29 ± 0.21 LCO 59266.4 85.38 r 20.36 ± 0.20 LCO 59377.4 178.29 r 21.62 ± 0.23 LCO 59377.4 178.29 i 21.79 ± 0.26 LCO Notes. The photometry is reported on the AB system and is not cor- rected for reddening. This table is available in machine readable form. Multiple exposures on any given night are averaged to give the val- ues presented here. aRest-frame relative to the g-band maximum (MJD 59 164.8). bUVOT photometry is not host galaxy subtracted. A20, page 22 of 26 Gkini, A., et al.: A&A, 685, A20 (2024) Appendix B: Spectroscopic data Table B.1. SN 2020zbf spectroscopic observations. UT date MJD Phasea Telescope + Exposure Grism Wavelength range (days) Instrument (s) (Å) 20201109 59162 -2.37 NTT + EFOSC2 900 Gr#13 3650–9250 20201116 59168 2.65 NTT +EFOSC2 1800 Gr#11 + Gr#16 3345–9995 20201118 59170.8 4.33 VLT + X-shooter 2400 – 3000–24800 20201208 59190 21.93 NTT + EFOSC2 2700 Gr#13 3650–9250 20201223 59205 33.62 NTT + EFOSC2 2700 Gr#13 3650–9250 20210104 59217 43.67 NTT + EFOSC2 2700 Gr#13 3650–9250 20210123 59233.1 57.06 NTT + EFOSC2 2700 Gr#13 3650–9250 Notes. aRest-frame relative to the g-band maximum (MJD 59164.8). A20, page 23 of 26 Gkini, A., et al.: A&A, 685, A20 (2024) Appendix C: MOSFiT results log fNi = 0.05+0.030.05 0.0 6 0.0 7 0.0 8 0.0 9 (c m 2 g 1 ) (cm2 g 1) = 0.06+0.010.00 1.5 0 1.3 5 1.2 0 1.0 5 lo g (c m 2 g 1 ) log (cm2 g 1) = 1.26+0.090.10 0.8 4 0.9 0 0.9 6 1.0 2 1.0 8 lo g M ej (M ) log Mej (M ) = 0.90+0.050.03 17 18 19 20 lo g n H ,h os t log nH, host = 18.23+1.061.33 99 00 10 20 01 05 00 10 80 0 T m in (K ) Tmin (K) = 10179.98+168.95162.42 0.2 0 0.1 5 0.1 0 0.0 5 log fNi 10 50 01 20 00 13 50 01 50 00 16 50 0 v e j(k m s 1 ) 0.0 6 0.0 7 0.0 8 0.0 9 (cm2 g 1) 1.5 0 1.3 5 1.2 0 1.0 5 log (cm2 g 1) 0.8 4 0.9 0 0.9 6 1.0 2 1.0 8 log Mej (M ) 17 18 19 20 log nH, host 99 00 10 20 0 10 50 0 10 80 0 Tmin (K) 10 50 0 12 00 0 13 50 0 15 00 0 16 50 0 vej (km s 1) vej (km s 1) = 13534.96+918.25874.61 Fig. C.1. 1D and 2D posterior distributions of the default 56Ni model parameters from the MOSFiT model. Median and 1σ of the best fit values are marked and labeled. A20, page 24 of 26 Gkini, A., et al.: A&A, 685, A20 (2024) B (1014 G) = 2.18+3.441.01 1.2 1.4 1.6 1.8 M NS (M ) MNS (M ) = 1.62+0.210.27 4.2 4.8 5.4 6.0 P s pi n (m s) Pspin (ms) = 5.14+0.500.65 0.0 6 0.0 9 0.1 2 0.1 5 0.1 8 (c m 2 g 1 ) (cm2 g 1) = 0.12+0.040.04 0 1 2 3 lo g (c m 2 g 1 ) log (cm2 g 1) = 0.18+1.740.26 0.2 0.0 0.2 0.4 lo g M ej (M ) log Mej (M ) = 0.18+0.140.13 17 18 19 20 lo g n H ,h os t log nH, host = 17.91+1.201.09 10 20 01 08 00 11 40 01 20 00 T m in (K ) Tmin (K) = 10844.27+270.70386.72 2 4 6 8 B (1014 G) 75 00 90 00 10 50 0 12 00 0 13 50 0 v e j(k m s 1 ) 1.2 1.4 1.6 1.8 MNS (M ) 4.2 4.8 5.4 6.0 Pspin (ms) 0.0 6 0.0 9 0.1 2 0.1 5 0.1 8 (cm2 g 1) 0 1 2 3 log (cm2 g 1) 0.2 0.0 0.2 0.4 log Mej (M ) 17 18 19 20 log nH, host 10 20 0 10 80 0 11 40 0 12 00 0 Tmin (K) 75 00 90 00 10 50 0 12 00 0 13 50 0 vej (km s 1) vej (km s 1) = 9602.77+1303.64952.29 Fig. C.2. 1D and 2D posterior distributions of the slsn magnetar model parameters from the MOSFiT model. Median and 1σ of the best fit values are marked and labeled. A20, page 25 of 26 Gkini, A., et al.: A&A, 685, A20 (2024) log MCSM = 0.68+0.060.05 0.8 0.4 0.0 0.4 0.8 lo g M ej (M ) log Mej (M ) = 0.65+0.210.18 17 18 19 20 lo g n H ,h os t log nH, host = 17.65+0.750.83 12 .3 12 .0 11 .7 11 .4 11 .1 lo g log = 11.94+0.200.15 0.2 5 0.5 0 0.7 5 1.0 0 s s = 0.21+0.210.13 97 50 10 00 01 02 50 10 50 0 T m in (K ) Tmin (K) = 10136.91+121.67121.35 0.3 0 0.4 5 0.6 0 0.7 5 log MCSM 90 00 10 50 01 20 00 13 50 0 v e j(k m s 1 ) 0.8 0.4 0.0 0.4 0.8 log Mej (M ) 17 18 19 20 log nH, host 12 .3 12 .0 11 .7 11 .4 11 .1 log 0.2 5 0.5 0 0.7 5 1.0 0 s 97 50 10 00 0 10 25 0 10 50 0 Tmin (K) 90 00 10 50 0 12 00 0 13 50 0 vej (km s 1) vej (km s 1) = 12342.65+948.451068.34 Fig. C.3. 1D and 2D posterior distributions of the csm model parameters from the MOSFiT model. Median and 1σ of the best fit values are marked and labeled. A20, page 26 of 26