Detalles de publicación
PP 022060
SALT3-NIR: Taking the Open-Source Type Ia Supernova Model to Longer Wavelengths for Next-Generation Cosmological Measurements
(1)Space Telescope Science Institute, Baltimore, MD 21218, USA
(2)Department of Astronomy and Astrophysics, University of California, Santa Cruz, CA 95064, USA
(3)NASA Einstein Fellow
(4)Department of Physics and Astronomy, The Johns Hopkins University, Baltimore, MD 21218, USA
(5)Kavli Institute for Cosmological Physics, University of Chicago, Chicago, IL 60637, USA
(6)Department of Astronomy and Astrophysics, University of Chicago, 5640 South Ellis Avenue, Chicago, IL 60637, USA 7Institute for Astronomy, University of Hawai‘i, 2680 Woodlawn Dr., Honolulu, HI 96822, USA
(8)Department of Physics, Virginia Tech, Blacksburg, VA 24061, USA
(9)Department of Physics, Duke University, Durham, NC 27708, USA
(10)School of Physics and Astronomy, University of Minnesota, 116 Church Street SE, Minneapolis, MN 55455, USA
(11)Department of Physics & Astronomy, Rutgers, State University of New Jersey, 136 Frelinghuysen Road, Piscataway, NJ 08854, USA 12Department of Astronomy, University of California, Berkeley, CA 94720-3411, USA
(13)Las Cumbres Observatory, 6740 Cortona Dr. Suite 102, Goleta, CA 93117
(14)University of California, Santa Barbara, Santa Barbara, CA 93101, USA
(15)Institute of Space Sciences (ICE, CSIC), Campus UAB, Carrer de Can Magrans, s/n, E-08193 Barcelona, Spain
(16)Institut d’Estudis Espacials de Catalunya (IEEC), E-08034 Barcelona, Spain
(17)Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138-1516, USA
(18)The NSF AI Institute for Artificial Intelligence and Fundamental Interactions
(19)Las Cumbres Observatory, 6740 Cortona Drive, Suite 102, Goleta, CA 93117-5575, USA
(20)Department of Physics, University of California, Santa Barbara, CA 93106-9530, USA
(21)University of Maryland, Baltimore County, Baltimore, MD 21250, USA
(22)NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
(23)Instituto de Astrofísica de Canarias, C/Vía Láctea, s/n, E-38205 San Cristóbal de La Laguna, Tenerife, Spain (24)Universidad de La Laguna, Dpto. Astrofísica, E-38206 San Cristóbal de La Laguna, Tenerife, Spain (25)Department of Physics and Astronomy, University of Hawai‘i at M ̄anoa, Honolulu, Hawai‘i 96822, USA (26)Astronomy Centre, Department of Physics and Astronomy, University of Southampton, Southampton, SO17 1BJ, UK
A large fraction of Type Ia supernova (SNIa) observations over the next decade will be in the near- infrared (NIR), at wavelengths beyond the reach of the current standard light-curve model for SNIa cosmology, SALT3 (∼ 2800–8700 Å central filter wavelength). To harness this new SN Ia sample and reduce future light-curve standardization systematic uncertainties, we train SALT3 at NIR wavelengths (SALT3-NIR) up to 2 μm with the open-source model-training software SALTshaker, which can easily accommodate future observations. Using simulated data we show that the training process constrains the NIR model to ∼ 2–3% across the phase range (−20 to 50 days). We find that Hubble residual (HR) scatter is smaller using the NIR alone or optical+NIR compared to optical alone, by up to ∼ 30% depending on filter choice (95% confidence). There is significant correlation between NIR light-curve stretch measurements and luminosity, with stretch and color corrections often improving HR scatter by up to ∼ 20%. For SN Ia observations expected from the Roman Space Telescope, SALT3-NIR increases the amount of usable data in the SALT framework by ∼ 20% at redshift z < or = 0.4 and by ∼ 50% at z < or = 0.15. The SALT3-NIR model is part of the open-source SNCosmo and SNANA SNIa cosmology packages.