HAFFET: Hybrid Analytic Flux FittEr for Transients

Yang, Sheng; Sollerman, Jesper

doi:10.3847/1538-4365/acfcb4

Cited by 4 publications

(3 citation statements)

References 84 publications

(89 reference statements)

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“…Binarity seems to be a key component for stripping their envelopes, with arguments supported by relatively low ejecta masses, large relative rates (Smith 2011), and direct evidence of a binary system after the SESN 2022jli (Chen et al 2024). These deduced ejecta masses often come from comparisons with simple analytical models (e.g., Arnett 1982;Barbarino et al 2021;Yang & Sollerman 2023), which match reasonably well with the observed light curves assuming powering by radioactive 56 Ni. However, modern explosion models are unable to produce the amount of radioactive nickel required for the brighter Type Ibc SNe (Sollerman et al 2022), and some SESNe show light-curve features that are not compatible with the standard scenario.…”

Section: Introductionmentioning

confidence: 52%

“…Superbol interpolates all bands to the r-band epochs, calculates pseudo-bolometric luminosity by integrating the observed fluxes over the available bandpasses, and estimates the bolometric luminosity by adding blackbody corrections (absorbed UV, and near-infrared (NIR)) to the pseudo-bolometric light curve. Additionally, HAFFET (Yang & Sollerman 2023) was also used to obtain another bolometric light-curve estimate by applying bolometric corrections to g-band data following Lyman et al (2014).…”

Section: Bolometric Luminositymentioning

confidence: 99%

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Dramatic Rebrightening of the Type-changing Stripped-envelope Supernova SN 2023aew

Sharma,

Sollerman,

Kulkarni

et al. 2024

ApJ

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Multipeaked supernovae with precursors, dramatic light-curve rebrightenings, and spectral transformation are rare, but are being discovered in increasing numbers by modern night-sky transient surveys like the Zwicky Transient Facility. Here, we present the observations and analysis of SN 2023aew, which showed a dramatic increase in brightness following an initial luminous (−17.4 mag) and long (∼100 days) unusual first peak (possibly precursor). SN 2023aew was classified as a Type IIb supernova during the first peak but changed its type to resemble a stripped-envelope supernova (SESN) after the marked rebrightening. We present comparisons of SN 2023aew’s spectral evolution with SESN subtypes and argue that it is similar to SNe Ibc during its main peak. P-Cygni Balmer lines are present during the first peak, but vanish during the second peak’s photospheric phase, before Hα resurfaces again during the nebular phase. The nebular lines ([O i], [Ca ii], Mg i], Hα) exhibit a double-peaked structure that hints toward a clumpy or nonspherical ejecta. We analyze the second peak in the light curve of SN 2023aew and find it to be broader than that of normal SESNe as well as requiring a very high 56Ni mass to power the peak luminosity. We discuss the possible origins of SN 2023aew including an eruption scenario where a part of the envelope is ejected during the first peak and also powers the second peak of the light curve through interaction of the SN with the circumstellar medium.

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Section: Introductionmentioning

confidence: 52%

Section: Bolometric Luminositymentioning

confidence: 99%

Dramatic Rebrightening of the Type-changing Stripped-envelope Supernova SN 2023aew

Sharma,

Sollerman,

Kulkarni

et al. 2024

ApJ

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“…SN 2023pel's flux LC, corrected for Galactic extinction, is shown in Figure 6. We then generate semianalytic bolometric luminosity LC models from Arnett (1982) using the Hybrid Analytic Flux FittEr for Transients (Yang & Sollerman 2023), where the two free parameters are the nickel mass (M Ni ) and the photon diffusion timescale (τ m ). τ m is an important parameter that relates to the mass of the total ejecta and the kinetic energy of the explosion, which we will show in Section 3.3.…”

Section: Arnett Model and Sn Parametersmentioning

confidence: 99%

Characterizing the Ordinary Broad-line Type Ic SN 2023pel from the Energetic GRB 230812B

Srinivasaragavan,

Swain,

O’Connor

et al. 2024

ApJL

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We report observations of the optical counterpart of the long gamma-ray burst (GRB) GRB 230812B and its associated supernova (SN) SN 2023pel. The proximity (z = 0.36) and high energy (E γ,iso ∼ 1053 erg) make it an important event to study as a probe of the connection between massive star core collapse and relativistic jet formation. With a phenomenological power-law model for the optical afterglow, we find a late-time flattening consistent with the presence of an associated SN. SN 2023pel has an absolute peak r-band magnitude of M r = −19.46 ± 0.18 mag (about as bright as SN 1998bw) and evolves on quicker timescales. Using a radioactive heating model, we derive a nickel mass powering the SN of M Ni = 0.38 ± 0.01 M ⊙ and a peak bolometric luminosity of L bol ∼ 1.3 × 1043 erg s−1. We confirm SN 2023pel’s classification as a broad-line Type Ic SN with a spectrum taken 15.5 days after its peak in the r band and derive a photospheric expansion velocity of v ph = 11,300 ± 1600 km s−1 at that phase. Extrapolating this velocity to the time of maximum light, we derive the ejecta mass M ej = 1.0 ± 0.6 M ⊙ and kinetic energy E KE = 1.3 − 1.2 + 3.3 × 10 51 erg . We find that GRB 230812B/SN 2023pel has SN properties that are mostly consistent with the overall GRB-SN population. The lack of correlations found in the GRB-SN population between SN brightness and E γ,iso for their associated GRBs across a broad range of 7 orders of magnitude provides further evidence that the central engine powering the relativistic ejecta is not coupled to the SN powering mechanism in GRB-SN systems.

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RAINBOW: A colorful approach to multipassband light-curve estimation

Russeil,

Malanchev,

Aleo

et al. 2024

A&A

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Time series generated by repeatedly observing astronomical transients are generally sparse, irregularly sampled, noisy, and multidimensional (obtained through a set of broad-band filters). In order to fully exploit their scientific potential, it is necessary to use this incomplete information to estimate a continuous light-curve behavior. Traditional approaches use ad hoc functional forms to approximate the light curve in each filter independently (hereafter, the Monochromatic method). We present Rainbow a physically motivated framework that enables simultaneous multiband light-curve fitting. It allows the user to construct a 2D continuous surface across wavelength and time, even when the number of observations in each filter is significantly limited. Assuming the electromagnetic radiation emission from the transient can be approximated by a blackbody, we combined an expected temperature evolution and a parametric function describing its bolometric light curve. These three ingredients allow the information available in one passband to guide the reconstruction in the others, thus enabling a proper use of multisurvey data. We demonstrate the effectiveness of our method by applying it to simulated data from the Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC) as well as to real data from the Young Supernova Experiment (YSE DR1). We evaluate the quality of the estimated light curves according to three different tests: goodness of fit, peak-time prediction, and ability to transfer information to machine-learning (ML) based classifiers. The results confirm that leads to an equivalent goodness of fit (supernovae II) or to a goodness of fit that is better by up to 75<!PCT!> (supernovae Ibc) than the Monochromatic approach. Similarly, the accuracy improves for all classes in our sample when the best-fit values are used as a parameter space in a multiclass ML classification. An efficient implementation of has been publicly released as part of the package Our approach enables a straightforward light-curve estimation for objects with observations in multiple filters and from multiple experiments. It is particularly well suited when the light-curve sampling is sparse. We demonstrate its potential for characterizing supernova-like events here, but the same approach can be used for other classes by changing the function describing the light-curve behavior and temperature representation. In the context of the upcoming large-scale sky surveys and their potential for multisurvey analysis, this represents an important milestone in the path to enable population studies of photometric transients.

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HAFFET: Hybrid Analytic Flux FittEr for Transients

Cited by 4 publications

References 84 publications

Dramatic Rebrightening of the Type-changing Stripped-envelope Supernova SN 2023aew

Dramatic Rebrightening of the Type-changing Stripped-envelope Supernova SN 2023aew

Characterizing the Ordinary Broad-line Type Ic SN 2023pel from the Energetic GRB 230812B

RAINBOW: A colorful approach to multipassband light-curve estimation

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