Article, 2024
Extrapolation of Type Ia Supernova Spectra into the Near-infrared Using Principal Component Analysis
The Astrophysical Journal,
ISSN
0004-637X,
1538-4357,
Volume 967,
1,
Page 55,
10.3847/1538-4357/ad3c45
Contributors
Burrow, Anthony
0000-0002-5380-0816
(Corresponding author)
[1]
Baron, E.
[1]
[2]
[3]
Burns, Christopher R
0000-0003-4625-6629
[4]
Hsiao, Eric Y
0000-0003-1039-2928
[5]
Lu, Jing
[6]
Ashall, C R Angus C
0000-0002-5221-7557
[7]
Brown, Peter J
0000-0001-6272-5507
[8]
Derkacy, James M
0000-0002-7566-6080
[7]
Folatelli, Gastón
0000-0001-5247-1486
[9]
[10]
Galbany, Lluís
0000-0002-1296-6887
[11]
Hoeflich, Peter
0000-0002-4338-6586
[5]
Krisciunas, Kevin L
0000-0002-6650-694X
[8]
Morrell, Nidia Irene
0000-0003-2535-3091
[12]
Phillips, Mark M
0000-0003-2734-0796
[12]
Shappee, Benjamin J
0000-0003-4631-1149
[13]
Stritzinger, Maximilian David
0000-0002-5571-1833
[14]
Suntzeff, Nicholas B
0000-0002-8102-181X
[8]
Affiliations
- [1]
University of Oklahoma
[NORA names:
United States; America, North; OECD];
- [2]
Planetary Science Institute
[NORA names:
United States; America, North; OECD];
- [3]
Universität Hamburg
[NORA names:
Germany; Europe, EU; OECD];
- [4]
Carnegie Observatories
[NORA names:
United States; America, North; OECD];
- [5]
Florida State University
[NORA names:
United States; America, North; OECD];
(... more)
- [6]
Michigan State University
[NORA names:
United States; America, North; OECD];
- [7]
Virginia Tech
[NORA names:
United States; America, North; OECD];
- [8]
Texas A&M University
[NORA names:
United States; America, North; OECD];
- [9]
Kavli Institute for the Physics and Mathematics of the Universe
[NORA names:
Japan; Asia, East; OECD];
- [10]
National University of La Plata
[NORA names:
Argentina; America, South];
- [11]
University of Granada
[NORA names:
Spain; Europe, EU; OECD];
- [12]
Las Campanas Observatory
[NORA names:
Chile; America, South; OECD];
- [13]
University of Hawaiʻi at Mānoa
[NORA names:
United States; America, North; OECD];
- [14]
Aarhus University
[NORA names:
AU Aarhus University;
University; Denmark; Europe, EU; Nordic; OECD]
(less)
Abstract
We present a method of extrapolating the spectroscopic behavior of Type Ia supernovae (SNe Ia) in the near-infrared (NIR) wavelength regime up to 2.30 μm using optical spectroscopy. Such a process is useful for accurately estimating K-corrections and other photometric quantities of SNe Ia in the NIR. A principal component analysis is performed on data consisting of Carnegie Supernova Project I & II optical and NIR FIRE spectra to produce models capable of making these extrapolations. This method differs from previous spectral template methods by not parameterizing models strictly by photometric light-curve properties of SNe Ia, allowing for more flexibility of the resulting extrapolated NIR flux. A difference of around −3.1% to −2.7% in the total integrated NIR flux between these extrapolations and the observations is seen here for most test cases including Branch core-normal and shallow-silicon subtypes. However, larger deviations from the observation are found for other tests, likely due to the limited high-velocity and broad-line SNe Ia in the training sample. Maximum-light principal components are shown to allow for spectroscopic predictions of the color-stretch light-curve parameter, s BV, within approximately ±0.1 units of the value measured with photometry. We also show these results compare well with NIR templates, although in most cases the templates are marginally more fitting to observations, illustrating a need for more concurrent optical+NIR spectroscopic observations to truly understand the diversity of SNe Ia in the NIR.
Keywords
BV,
Carnegie,
Ia supernovae,
K-corrections,
SNe,
SNe Ia,
Type Ia supernovae,
analysis,
approximation,
branches,
broad-line,
cases,
component analysis,
components,
core norms,
data,
deviation,
diversity,
diversity of SNe Ia,
extrapolation,
flexibility,
flux,
high-velocity,
light-curve parameters,
light-curve properties,
method,
model,
near-infrared,
near-infrared flux,
observations,
optical spectroscopy,
parameterized model,
parameters,
photometric quantities,
photometry,
prediction,
principal component analysis,
principal components,
process,
properties,
quantity,
results,
samples,
spectra,
spectroscopic behavior,
spectroscopic observations,
spectroscopic predictions,
spectroscopy,
subtypes,
supernova,
template,
template method,
test,
test cases,
training,
training samples,
units
Funders
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