Mathematics – Logic
Scientific paper
Dec 2007
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007aas...21110508m&link_type=abstract
American Astronomical Society, AAS Meeting #211, #105.08; Bulletin of the American Astronomical Society, Vol. 39, p.929
Mathematics
Logic
Scientific paper
We present forty-one near infrared (NIR, 0.7 - 2.5 μm) spectra from Type Ia supernovae (SNe Ia) obtained at epochs ranging from thirteen days before to seventy-six days after maximum light in the V-band. We identify spectral features, measure the Doppler velocities, and discuss the chemical distribution of explosion products.
NIR spectra provide direct evidence of the physical properties of SNe Ia and information about the explosion products whose signatures are blended or obscured in other spectral regions. We confirm the presence of OI, MgII, CaII, SiII, FeII and CoII in these SNe. Possible identifications are made for SI, SiIII, MnII, and FeIII. There is no evidence for HI, HeI, CI, or CII in the data.
Our sample provides the first opportunity to study NIR Spectral evolution in a large number of SNe Ia. As supernovae expand and cool, progressively deeper layers are revealed. Thus time sequences of spectra examine the chemical structures from the outer layers to deep inside the envelope. Our results show that NIR spectra from normal SNe Ia follow a consistent progression of feature development with time. Burning products appear to be distributed in distinct layers with no large scale mixing. Carbon is not detected in these data, a result that agrees with previous results in which NIR data established very low limits on carbon abundance in SNe Ia. However carbon burning products, O and Mg, are plentiful in the outer layers suggesting that the entire progenitor burns in the explosion.
This sample fully opens the NIR window for SNe Ia research and we propose future directions for the field. The data provide a new resource for investigations of cross-correlations with other data libraries that may further constrain SN Ia physics and improve the effectiveness of SNe Ia as cosmological distance indicators.
Gerardy Christopher L.
Hoeflich Peter
Howie Marion G.
Robinson Emma L.
Vacca William D.
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