The iron yield of normal Type II supernovae. Issue 2 (10th May 2021)

• Record Type: Journal Article
• Authors: Rodríguez, Ó; Meza, N; Pineda-García, J; Ramirez, M
• Is Part Of: Monthly notices of the Royal Astronomical Society. Volume 505:Issue 2(2021)
• Page Start: 1742
• Page End: 1774
• Publication Date: 2021-05-10
• Subjects: nuclear reactions, nucleosynthesis, abundances -- transients: supernovae; Astronomy -- Periodicals; Periodicals; 520.5
• DOI: 10.1093/mnras/stab1335
• Languages: English
• ISSNs: 0035-8711

Abstract

ABSTRACT: We present 56 Ni mass estimates for 110 normal Type II supernovae (SNe II), computed here from their luminosity in the radioactive tail. This sample consists of SNe from the literature, with at least three photometric measurements in a single optical band within 95–320 d since explosion. To convert apparent magnitudes to bolometric ones, we compute bolometric corrections (BCs) using 15 SNe in our sample having optical and near-IR photometry, along with three sets of SN II atmosphere models to account for the unobserved flux. We find that the I - and i -bands are best suited to estimate luminosities through the BC technique. The 56 Ni mass distribution of our SN sample has a minimum and maximum of 0.005 and 0.177 M⊙, respectively, and a selection-bias-corrected average of 0.037 ± 0.005 M⊙ . Using the latter value together with iron isotope ratios of two sets of core-collapse (CC) nucleosynthesis models, we calculate a mean iron yield of 0.040 ± 0.005 M⊙ for normal SNe II. Combining this result with recent mean 56 Ni mass measurements for other CC SN subtypes, we estimate a mean iron yield <0.068 M⊙ for CC SNe, where the contribution of normal SNe II is >36 per cent. We also find that the empirical relation between 56 Ni mass and steepness parameter ( S ) is poorly suited to measure the 56 Ni mass of normal SNe II. Instead, we present a correlation between 56 Ni mass, S, and absolute magnitude at 50 d since explosion. The latter allows to measure 56 Ni masses of normal SNe II with a precision around 30 per cent.