Carnegie Supernova Project. II. Near-infrared Spectral Diversity and Template of Type Ia Supernovae

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Carnegie Supernova Project. II. Near-infrared Spectral Diversity and Template of Type Ia Supernovae. / Lu, Jing; Hsiao, Eric Y.; Phillips, Mark M.; Burns, Christopher R.; Ashall, Chris; Morrell, Nidia; Ng, Lawrence; Kumar, Sahana; Shahbandeh, Melissa; Hoeflich, Peter; Baron, E.; Uddin, Syed; Stritzinger, Maximilian D.; Suntzeff, Nicholas B.; Baltay, Charles; Davis, Scott; Diamond, Tiara R.; Folatelli, Gaston; Forster, Francisco; Gagne, Jonathan; Galbany, Lluis; Gall, Christa; Gonzalez-Gaitan, Santiago; Holmbo, Simon; Kirshner, Robert P.; Krisciunas, Kevin; Marion, G. H.; Perlmutter, Saul; Pessi, Priscila J.; Piro, Anthony L.; Rabinowitz, David; Ryder, Stuart D.; Sand, David J.

In: Astrophysical Journal, Vol. 948, No. 1, 27, 01.05.2023.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Lu, J, Hsiao, EY, Phillips, MM, Burns, CR, Ashall, C, Morrell, N, Ng, L, Kumar, S, Shahbandeh, M, Hoeflich, P, Baron, E, Uddin, S, Stritzinger, MD, Suntzeff, NB, Baltay, C, Davis, S, Diamond, TR, Folatelli, G, Forster, F, Gagne, J, Galbany, L, Gall, C, Gonzalez-Gaitan, S, Holmbo, S, Kirshner, RP, Krisciunas, K, Marion, GH, Perlmutter, S, Pessi, PJ, Piro, AL, Rabinowitz, D, Ryder, SD & Sand, DJ 2023, 'Carnegie Supernova Project. II. Near-infrared Spectral Diversity and Template of Type Ia Supernovae', Astrophysical Journal, vol. 948, no. 1, 27. https://doi.org/10.3847/1538-4357/acc100

APA

Lu, J., Hsiao, E. Y., Phillips, M. M., Burns, C. R., Ashall, C., Morrell, N., Ng, L., Kumar, S., Shahbandeh, M., Hoeflich, P., Baron, E., Uddin, S., Stritzinger, M. D., Suntzeff, N. B., Baltay, C., Davis, S., Diamond, T. R., Folatelli, G., Forster, F., ... Sand, D. J. (2023). Carnegie Supernova Project. II. Near-infrared Spectral Diversity and Template of Type Ia Supernovae. Astrophysical Journal, 948(1), [27]. https://doi.org/10.3847/1538-4357/acc100

Vancouver

Lu J, Hsiao EY, Phillips MM, Burns CR, Ashall C, Morrell N et al. Carnegie Supernova Project. II. Near-infrared Spectral Diversity and Template of Type Ia Supernovae. Astrophysical Journal. 2023 May 1;948(1). 27. https://doi.org/10.3847/1538-4357/acc100

Author

Lu, Jing ; Hsiao, Eric Y. ; Phillips, Mark M. ; Burns, Christopher R. ; Ashall, Chris ; Morrell, Nidia ; Ng, Lawrence ; Kumar, Sahana ; Shahbandeh, Melissa ; Hoeflich, Peter ; Baron, E. ; Uddin, Syed ; Stritzinger, Maximilian D. ; Suntzeff, Nicholas B. ; Baltay, Charles ; Davis, Scott ; Diamond, Tiara R. ; Folatelli, Gaston ; Forster, Francisco ; Gagne, Jonathan ; Galbany, Lluis ; Gall, Christa ; Gonzalez-Gaitan, Santiago ; Holmbo, Simon ; Kirshner, Robert P. ; Krisciunas, Kevin ; Marion, G. H. ; Perlmutter, Saul ; Pessi, Priscila J. ; Piro, Anthony L. ; Rabinowitz, David ; Ryder, Stuart D. ; Sand, David J. / Carnegie Supernova Project. II. Near-infrared Spectral Diversity and Template of Type Ia Supernovae. In: Astrophysical Journal. 2023 ; Vol. 948, No. 1.

Bibtex

@article{ddbf8b1bae6f4f2a94f60ae6bda411cc,
title = "Carnegie Supernova Project. II. Near-infrared Spectral Diversity and Template of Type Ia Supernovae",
abstract = "We present the largest and most homogeneous collection of near-infrared (NIR) spectra of Type Ia supernovae (SNe Ia): 339 spectra of 98 individual SNe obtained as part of the Carnegie Supernova Project-II. These spectra, obtained with the FIRE spectrograph on the 6.5 m Magellan Baade telescope, have a spectral range of 0.8-2.5 mu m. Using this sample, we explore the NIR spectral diversity of SNe Ia and construct a template of spectral time series as a function of the light-curve-shape parameter, color stretch s ( BV ). Principal component analysis is applied to characterize the diversity of the spectral features and reduce data dimensionality to a smaller subspace. Gaussian process regression is then used to model the subspace dependence on phase and light-curve shape and the associated uncertainty. Our template is able to predict spectral variations that are correlated with s ( BV ), such as the hallmark NIR features: Mg ii at early times and the H-band break after peak. Using this template reduces the systematic uncertainties in K-corrections by similar to 90% compared to those from the Hsiao template. These uncertainties, defined as the mean K-correction differences computed with the color-matched template and observed spectra, are on the level of 4 x 10(-4) mag on average. This template can serve as the baseline spectral energy distribution for light-curve fitters and can identify peculiar spectral features that might point to compelling physics. The results presented here will substantially improve future SN Ia cosmological experiments, for both nearby and distant samples.",
keywords = "PHOTOMETRY DATA RELEASE, CORE-COLLAPSE SUPERNOVAE, K-CORRECTIONS, ABSOLUTE MAGNITUDES, HUBBLE DIAGRAM, LIGHT CURVES, EXPLOSION, SPECTROSCOPY, CONSTRAINTS, LUMINOSITY",
author = "Jing Lu and Hsiao, {Eric Y.} and Phillips, {Mark M.} and Burns, {Christopher R.} and Chris Ashall and Nidia Morrell and Lawrence Ng and Sahana Kumar and Melissa Shahbandeh and Peter Hoeflich and E. Baron and Syed Uddin and Stritzinger, {Maximilian D.} and Suntzeff, {Nicholas B.} and Charles Baltay and Scott Davis and Diamond, {Tiara R.} and Gaston Folatelli and Francisco Forster and Jonathan Gagne and Lluis Galbany and Christa Gall and Santiago Gonzalez-Gaitan and Simon Holmbo and Kirshner, {Robert P.} and Kevin Krisciunas and Marion, {G. H.} and Saul Perlmutter and Pessi, {Priscila J.} and Piro, {Anthony L.} and David Rabinowitz and Ryder, {Stuart D.} and Sand, {David J.}",
year = "2023",
month = may,
day = "1",
doi = "10.3847/1538-4357/acc100",
language = "English",
volume = "948",
journal = "Astrophysical Journal",
issn = "0067-0049",
publisher = "Institute of Physics Publishing, Inc",
number = "1",

}

RIS

TY - JOUR

T1 - Carnegie Supernova Project. II. Near-infrared Spectral Diversity and Template of Type Ia Supernovae

AU - Lu, Jing

AU - Hsiao, Eric Y.

AU - Phillips, Mark M.

AU - Burns, Christopher R.

AU - Ashall, Chris

AU - Morrell, Nidia

AU - Ng, Lawrence

AU - Kumar, Sahana

AU - Shahbandeh, Melissa

AU - Hoeflich, Peter

AU - Baron, E.

AU - Uddin, Syed

AU - Stritzinger, Maximilian D.

AU - Suntzeff, Nicholas B.

AU - Baltay, Charles

AU - Davis, Scott

AU - Diamond, Tiara R.

AU - Folatelli, Gaston

AU - Forster, Francisco

AU - Gagne, Jonathan

AU - Galbany, Lluis

AU - Gall, Christa

AU - Gonzalez-Gaitan, Santiago

AU - Holmbo, Simon

AU - Kirshner, Robert P.

AU - Krisciunas, Kevin

AU - Marion, G. H.

AU - Perlmutter, Saul

AU - Pessi, Priscila J.

AU - Piro, Anthony L.

AU - Rabinowitz, David

AU - Ryder, Stuart D.

AU - Sand, David J.

PY - 2023/5/1

Y1 - 2023/5/1

N2 - We present the largest and most homogeneous collection of near-infrared (NIR) spectra of Type Ia supernovae (SNe Ia): 339 spectra of 98 individual SNe obtained as part of the Carnegie Supernova Project-II. These spectra, obtained with the FIRE spectrograph on the 6.5 m Magellan Baade telescope, have a spectral range of 0.8-2.5 mu m. Using this sample, we explore the NIR spectral diversity of SNe Ia and construct a template of spectral time series as a function of the light-curve-shape parameter, color stretch s ( BV ). Principal component analysis is applied to characterize the diversity of the spectral features and reduce data dimensionality to a smaller subspace. Gaussian process regression is then used to model the subspace dependence on phase and light-curve shape and the associated uncertainty. Our template is able to predict spectral variations that are correlated with s ( BV ), such as the hallmark NIR features: Mg ii at early times and the H-band break after peak. Using this template reduces the systematic uncertainties in K-corrections by similar to 90% compared to those from the Hsiao template. These uncertainties, defined as the mean K-correction differences computed with the color-matched template and observed spectra, are on the level of 4 x 10(-4) mag on average. This template can serve as the baseline spectral energy distribution for light-curve fitters and can identify peculiar spectral features that might point to compelling physics. The results presented here will substantially improve future SN Ia cosmological experiments, for both nearby and distant samples.

AB - We present the largest and most homogeneous collection of near-infrared (NIR) spectra of Type Ia supernovae (SNe Ia): 339 spectra of 98 individual SNe obtained as part of the Carnegie Supernova Project-II. These spectra, obtained with the FIRE spectrograph on the 6.5 m Magellan Baade telescope, have a spectral range of 0.8-2.5 mu m. Using this sample, we explore the NIR spectral diversity of SNe Ia and construct a template of spectral time series as a function of the light-curve-shape parameter, color stretch s ( BV ). Principal component analysis is applied to characterize the diversity of the spectral features and reduce data dimensionality to a smaller subspace. Gaussian process regression is then used to model the subspace dependence on phase and light-curve shape and the associated uncertainty. Our template is able to predict spectral variations that are correlated with s ( BV ), such as the hallmark NIR features: Mg ii at early times and the H-band break after peak. Using this template reduces the systematic uncertainties in K-corrections by similar to 90% compared to those from the Hsiao template. These uncertainties, defined as the mean K-correction differences computed with the color-matched template and observed spectra, are on the level of 4 x 10(-4) mag on average. This template can serve as the baseline spectral energy distribution for light-curve fitters and can identify peculiar spectral features that might point to compelling physics. The results presented here will substantially improve future SN Ia cosmological experiments, for both nearby and distant samples.

KW - PHOTOMETRY DATA RELEASE

KW - CORE-COLLAPSE SUPERNOVAE

KW - K-CORRECTIONS

KW - ABSOLUTE MAGNITUDES

KW - HUBBLE DIAGRAM

KW - LIGHT CURVES

KW - EXPLOSION

KW - SPECTROSCOPY

KW - CONSTRAINTS

KW - LUMINOSITY

U2 - 10.3847/1538-4357/acc100

DO - 10.3847/1538-4357/acc100

M3 - Journal article

VL - 948

JO - Astrophysical Journal

JF - Astrophysical Journal

SN - 0067-0049

IS - 1

M1 - 27

ER -

ID: 347403513