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Related papers: Extending Supernova Spectral Templates for Next-Ge…

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We present SiFTO, a new empirical method for modeling type Ia supernovae (SNe Ia) light curves by manipulating a spectral template. We make use of high-redshift SN observations when training the model, allowing us to extend it bluer than…

We show how spectra of Type Ia supernovae (SNe Ia) at maximum light can be used to improve cosmological distance estimates. In a companion article, we used manifold learning to build a three-dimensional parameterization of the intrinsic…

The selection of high-redshift galaxies often involves spectral energy distribution (SED) fitting to photometric data, an expectation for contamination levels, and measurement of sample completeness -- all vetted through comparison to…

Despite vast improvements in the measurement of the cosmological parameters, the nature of dark energy and an accurate value of the Hubble constant (H$_0$) in the Hubble-Lema\^itre law remain unknown. To break the current impasse, it is…

Upcoming photometric surveys will discover tens of thousands of Type Ia supernovae (SNe Ia), vastly outpacing the capacity of our spectroscopic resources. In order to maximize the science return of these observations in the absence of…

Cosmology and Nongalactic Astrophysics · Physics 2023-09-11 Helen Qu , Masao Sako

In this paper, I present a new set of synthetic spectral energy distributions (SEDs) for young stellar objects (YSOs) spanning a wide range of evolutionary stages, from the youngest deeply embedded protostars to pre-main-sequence stars with…

Solar and Stellar Astrophysics · Physics 2017-03-29 Thomas P. Robitaille

We present space-based ultraviolet/optical photometry and spectroscopy with the Swift Ultra-Violet/Optical Telescope and Hubble Space Telescope, respectively, along with ground-based optical photometry and spectroscopy and near-infrared…

Supernovae of type Ia (SNe Ia) are very important for cosmography. To exclude systematic effects in linking the observed light of distant SNe Ia to the parameters of cosmological models, one has to understand the nature of supernova…

Astrophysics · Physics 2009-11-07 S. Blinnikov , E. Sorokina

We study the utility of a large sample of type Ia supernovae that might be observed in an imaging survey that rapidly scans a large fraction of the sky for constraining dark energy. We consider information from the traditional luminosity…

Astrophysics · Physics 2011-02-11 Andrew R. Zentner , Suman Bhattacharya

We have publicly released a blinded mix of simulated SNe, with types (Ia, Ib, Ic, II) selected in proportion to their expected rate. The simulation is realized in the griz filters of the Dark Energy Survey (DES) with realistic observing…

Instrumentation and Methods for Astrophysics · Physics 2010-04-29 Richard Kessler , Alex Conley , Saurabh Jha , Stephen Kuhlmann

SNe Ia continue to play a key role in cosmological measurements. Their interpretation over a range in redshift requires a rest-frame spectral energy distribution model. For practicality, these models are parameterized with a limited number…

Cosmology and Nongalactic Astrophysics · Physics 2020-07-08 David Rubin

Type Ia supernova cosmology depends on the ability to fit and standardize observations of supernova magnitudes with an empirical model. We present here a series of new models of Type Ia Supernova spectral time series that capture a greater…

The James Webb Space Telescope (JWST) has enabled the discovery of a significant population of galaxies at z > 10. Our understanding of the astrophysical properties of these galaxies relies on fitting templates developed using models…

Instrumentation and Methods for Astrophysics · Physics 2026-04-09 Thorbjørn Clausen , Charles L. Steinhardt , Arden Shao , Gaurav Senthil Kumar

In the next decade Type Ia supernovae (SNe Ia) will be used to test theories predicting changes in the Dark Energy equation of state with time. Ultimately this requires a dedicated space mission like JDEM. SNe Ia are mature cosmological…

Type Ia supernovae (SNe Ia) are powerful tools for measuring the expansion history of the universe, but the impact of dust around SNe Ia remains unknown and is a critical systematic uncertainty. One way to improve our empirical description…

Cosmology and Nongalactic Astrophysics · Physics 2022-09-14 Benjamin M. Rose , Brodie Popovic , Dan Scolnic , Dillon Brout

As part of the cosmology analysis using Type Ia Supernovae (SN Ia) in the Dark Energy Survey (DES), we present photometrically identified SN Ia samples using multi-band light-curves and host galaxy redshifts. For this analysis, we use the…

We present ultraviolet (UV) spectroscopy and photometry of four Type Ia supernovae (SNe 2004dt, 2004ef, 2005M, and 2005cf) obtained with the UV prism of the Advanced Camera for Surveys on the Hubble Space Telescope. This dataset provides…

High Energy Astrophysical Phenomena · Physics 2015-05-30 Xiaofeng Wang , Lifan Wang , Alexei V. Filippenko , Eddie Baron , Markus Kromer , Dennis Jack , Tianmeng Zhang , Greg Aldering , Pierre Antilogus , David Arnett , Dietrich Baade , Brian J. Barris , Stefano Benetti , Patrice Bouchet , Adam S. Burrows , Ramon Canal , Enrico Cappellaro , Raymond Carlberg , Elisa di Carlo , Peter Challis , Arlin Crotts , John I. Danziger , Massimo Della Valle , Michael Fink , Ryan J. Foley , Claes Fransson , Avishay Gal-Yam , Peter Garnavich , Chris L. Gerardy , Gerson Goldhaber , Mario Hamuy , Wolfgang Hillebrandt , Peter A. Hoeflich , Stephen T. Holland , Daniel E. Holz , John P. Hughes , David J. Jeffery , Saurabh W. Jha , Dan Kasen , Alexei M. Khokhlov , Robert P. Kirshner , Robert Knop , Cecilia Kozma , Kevin Krisciunas , Brian C. Lee , Bruno Leibundgut , Eric J. Lentz , Douglas C. Leonard , Walter H. G. Lewin , Weidong Li , Mario Livio , Peter Lundqvist , Dan Maoz , Thomas Matheson , Paolo Mazzali , Peter Meikle , Gajus Miknaitis , Peter Milne , Stefan Mochnacki , Ken'Ichi Nomoto , Peter E. Nugent , Elaine Oran , Nino Panagia , Saul Perlmutter , Mark M. Phillips , Philip Pinto , Dovi Poznanski , Christopher J. Pritchet , Martin Reinecke , Adam Riess , Pilar Ruiz-Lapuente , Richard Scalzo , Eric M. Schlegel , Brian Schmidt , James Siegrist , Alicia M. Soderberg , Jesper Sollerman , George Sonneborn , Anthony Spadafora , Jason Spyromilio , Richard A. Sramek , Sumner G. Starrfield , Louis G. Strolger , Nicholas B. Suntzeff , Rollin Thomas , John L. Tonry , Amedeo Tornambe , James W. Truran , Massimo Turatto , Michael Turner , Schuyler D. Van Dyk , Kurt Weiler , J. Craig Wheeler , Michael Wood-Vasey , Stan Woosley , Hitoshi Yamaoka

We present a data-driven method based on long short-term memory (LSTM) neural networks to analyze spectral time series of Type Ia supernovae (SNe Ia). The dataset includes 3091 spectra from 361 individual SNe Ia. The method allows for…

High Energy Astrophysical Phenomena · Physics 2022-05-09 Lei Hu , Xingzhuo Chen , Lifan Wang

Correctly interpreting JWST spectra of close-in exoplanets requires a measurement of the X-ray and ultraviolet light that the planets receive from their host stars. Here we provide spectral energy distributions (SEDs) covering the range…