SN 2017fgc: A Fast-expanding Type Ia Supernova Exploded in Massive Shell Galaxy NGC 474
We present extensive optical photometric and spectroscopic observations of the high-velocity (HV) Type Ia supernova (SN Ia) 2017fgc, covering the phase from ∼12 days before to ∼389 days after maximum brightness. SN 2017fgc is similar to normal SNe Ia, with an absolute peak magnitude of M max B ≈ −19...
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Veröffentlicht in: | The Astrophysical journal 2021-09, Vol.919 (1), p.49 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | We present extensive optical photometric and spectroscopic observations of the high-velocity (HV) Type Ia supernova (SN Ia) 2017fgc, covering the phase from ∼12 days before to ∼389 days after maximum brightness. SN 2017fgc is similar to normal SNe Ia, with an absolute peak magnitude of
M
max
B
≈
−19.32 ± 0.13 mag and a post-peak decline of Δ
m
15
(
B
) = 1.05 ± 0.07 mag. Its peak bolometric luminosity is derived as (1.32 ± 0.13) × 10
43
erg s
−1
, corresponding to a
56
Ni mass of 0.51 ± 0.03
M
⊙
. The light curves of SN 2017fgc are found to exhibit excess emission in the
UBV
bands in the early nebular phase and pronounced secondary shoulder/maximum features in the
RrIi
bands. Its spectral evolution is similar to that of HV SNe Ia, with a maximum-light Si
ii
velocity of 15,000 ± 150 km s
−1
and a post-peak velocity gradient of ∼120 ± 10 km s
−1
day
−1
. The Fe
ii
and Mg
ii
lines blended near 4300 Å and the Fe
ii
, Si
ii
, and Fe
iii
lines blended near 4800 Å are obviously stronger than those of normal SNe Ia. Inspecting a large sample reveals that the strength of the two blends in the spectra, and the secondary peak in the
i
/
r
-band light curves, are found to be positively correlated with the maximum-light Si
ii
velocity. Such correlations indicate that HV SNe Ia may experience more complete burning in the ejecta and/or that their progenitors have higher metallicity. Examining the birthplace environment of SN 2017fgc suggests that it likely arose from a stellar environment with young and high-metallicity populations. |
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ISSN: | 0004-637X 1538-4357 |
DOI: | 10.3847/1538-4357/ac0e9c |