The Dark Energy Survey supernova programme: modelling selection efficiency and observed core-collapse supernova contamination

Vincenzi, M.; Sullivan, M.; Graur, O.; Brout, D.; Davis, T. M.; Frohmaier, C.; Galbany, L.; Gutiérrez, C. P.; Hinton, S. R.; Hounsell, R.; Kelsey, L.; Kessler, R.; Kovacs, E.; Kuhlmann, S.; Lasker, J.; Lidman, C.; Möller, A.; Nichol, R. C.; Sako, M.; Scolnic, D.; Smith, M.; Swann, E.; Wiseman, P.; Asorey, J.; Lewis, G. F.; Sharp, R.; Tucker, B. E.; Aguena, M.; Allam, S.; Avila, S.; Bertin, E.; Brooks, D.; Burke, D. L.; Carnero Rosell, A.; Carrasco Kind, M.; Carretero, J.; Castander, F. J.; Choi, A.; Costanzi, M.; da Costa, L. N.; Pereira, M. E. S.; De Vicente, J.; Desai, S.; Diehl, H. T.; Doel, P.; Everett, S.; Ferrero, I.; Fosalba, P.; Frieman, J.; García-Bellido, J.; Gaztanaga, E.; Gerdes, D. W.; Gruen, D.; Gruendl, R. A.; Gutierrez, G.; Hollowood, D. L.; Honscheid, K.; Hoyle, B.; James, D. J.; Kuehn, K.; Kuropatkin, N.; Maia, M. A. G.; Martini, P.; Menanteau, F.; Miquel, R.; Morgan, R.; Palmese, A.; Paz-Chinchón, F.; Plazas, A. A.; Romer, A. K.; Sanchez, E.; Scarpine, V.; Serrano, S.; Sevilla-Noarbe, I.; Soares-Santos, M.; Suchyta, E.; Tarle, G.; Thomas, D.; To, C.; Varga, T. N.; Walker, A. R.; Wilkinson, R. D.; (DES Collaboration),

doi:10.1093/mnras/stab1353

Title: The Dark Energy Survey supernova programme: modelling selection efficiency and observed core-collapse supernova contamination

Abstract

The analysis of current and future cosmological surveys of Type Ia supernovae (SNe Ia) at high redshift depends on the accurate photometric classification of the SN events detected. Generating realistic simulations of photometric SN surveys constitutes an essential step for training and testing photometric classification algorithms, and for correcting biases introduced by selection effects and contamination arising from core-collapse SNe in the photometric SN Ia samples. We use published SN time-series spectrophotometric templates, rates, luminosity functions, and empirical relationships between SNe and their host galaxies to construct a framework for simulating photometric SN surveys. We present this framework in the context of the Dark Energy Survey (DES) 5-yr photometric SN sample, comparing our simulations of DES with the observed DES transient populations. We demonstrate excellent agreement in many distributions, including Hubble residuals, between our simulations and data. We estimate the core collapse fraction expected in the DES SN sample after selection requirements are applied and before photometric classification. After testing different modelling choices and astrophysical assumptions underlying our simulation, we find that the predicted contamination varies from 7.2 to 11.7 per cent, with an average of 8.8 per cent and an r.m.s. of 1.1 per cent. Our simulations are themore »« less

Authors:

^[1];

^[2];

^[3];

^[4];

^[5];

^[1];

^[6];

^[2];

^[5]; Hounsell, R. ^[7];

^[2]; Kessler, R. ^[8]; Kovacs, E. ^[9]; Kuhlmann, S. ^[9];

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^[11]; Nichol, R. C. ^[1]; Sako, M. ^[12];

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Institute of Cosmology and Gravitation, University of Portsmouth, Portsmouth PO1 3FX, UK
School of Physics and Astronomy, University of Southampton, Southampton SO17 1BJ, UK
Institute of Cosmology and Gravitation, University of Portsmouth, Portsmouth PO1 3FX, UK, Department of Astrophysics, American Museum of Natural History, New York, NY 10024, USA
Center for Astrophysics, Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA
School of Mathematics and Physics, University of Queensland, Brisbane, QLD 4072, Australia
PITT PACC, Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA 15260, USA
University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USA, NASA Goddard Space Flight Center, 8800 Greenbelt Road, Greenbelt, MD 20771, USA, Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104, USA
Department of Astronomy and Astrophysics, University of Chicago, Chicago, IL 60637, USA, Kavli Institute for Cosmological Physics, University of Chicago, Chicago, IL 60637, USA
Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439, USA
Centre for Gravitational Astrophysics, College of Science, Australian National University, Canberra, ACT 2601, Australia, The Research School of Astronomy and Astrophysics, Australian National University, Canberra, ACT 2601, Australia
Laboratoire de Physique de Clermont, Université Clermont Auvergne, CNRS/IN2P3, LPC, F-63000 Clermont-Ferrand, France
Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104, USA
Department of Physics, Duke University Durham, Durham, NC 27708, USA
Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Madrid, 28040, Spain
Sydney Institute for Astronomy, School of Physics, A28, The University of Sydney, Sydney, NSW 2006, Australia
The Research School of Astronomy and Astrophysics, Australian National University, Canberra, ACT 2601, Australia
Departamento de Física Matemática, Instituto de Física, Universidade de São Paulo, CP 66318, São Paulo, SP 05314-970, Brazil, Laboratório Interinstitucional de e-Astronomia – LIneA, Rua Gal. José Cristino 77, Rio de Janeiro, RJ 20921-400, Brazil
Fermi National Accelerator Laboratory, PO Box 500, Batavia, IL 60510, USA
Instituto de Fisica Teorica UAM/CSIC, Universidad Autonoma de Madrid, E-28049 Madrid, Spain
CNRS, UMR 7095, Institut d’Astrophysique de Paris, F-75014 Paris, France, Institut d’Astrophysique de Paris, SorbonneUniversités, UPMC Paris 06, UMR 7095, F-75014 Paris, France
Department of Physics & Astronomy, University College London, Gower Street, London WC1E 6BT, UK
Kavli Institute for Particle Astrophysics & Cosmology, Stanford University, PO Box 2450, Stanford, CA 94305, USA, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA
Instituto de Astrofisica de Canarias, E-38205 La Laguna, Tenerife, Spain, Departamento Astrofísica, Universidad de La Laguna, E-38206 La Laguna, Tenerife, Spain
Department of Astronomy, University of Illinois at Urbana–Champaign, 1002 W. Green Street, Urbana, IL 61801, USA, National Center for Supercomputing Applications, 1205 West Clark Street, Urbana, IL 61801, USA
Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology, Campus UAB, E-08193 Bellaterra (Barcelona), Spain
Institut d’Estudis Espacials de Catalunya (IEEC), E-08034 Barcelona, Spain, Institute of Space Sciences (ICE, CSIC), Campus UAB, Carrer de Can Magrans, s/n, E-08193 Barcelona, Spain
Center for Cosmology and Astro-Particle Physics, The Ohio State University, Columbus, OH 43210, USA
INAF – Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, I-34143 Trieste, Italy, Institute for Fundamental Physics of the Universe, Via Beirut 2, I-34014 Trieste, Italy
Laboratório Interinstitucional de e-Astronomia – LIneA, Rua Gal. José Cristino 77, Rio de Janeiro, RJ 20921-400, Brazil, Observatório Nacional, Rua Gal. José Cristino 77, Rio de Janeiro, RJ 20921-400, Brazil
Department of Physics, University of Michigan, Ann Arbor, MI 48109, USA
Department of Physics, IIT Hyderabad, Kandi, Telangana 502285, India
Santa Cruz Institute for Particle Physics, Santa Cruz, CA 95064, USA
Institute of Theoretical Astrophysics, University of Oslo, PO Box 1029, Blindern, NO-0315 Oslo, Norway
Kavli Institute for Cosmological Physics, University of Chicago, Chicago, IL 60637, USA, Fermi National Accelerator Laboratory, PO Box 500, Batavia, IL 60510, USA
Department of Physics, University of Michigan, Ann Arbor, MI 48109, USA, Department of Astronomy, University of Michigan, Ann Arbor, MI 48109, USA
Kavli Institute for Particle Astrophysics & Cosmology, Stanford University, PO Box 2450, Stanford, CA 94305, USA, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA, Department of Physics, Stanford University, 382 Via Pueblo Mall, Stanford, CA 94305, USA
Center for Cosmology and Astro-Particle Physics, The Ohio State University, Columbus, OH 43210, USA, Department of Physics, The Ohio State University, Columbus, OH 43210, USA
Faculty of Physics, Ludwig-Maximilians-Universität, Scheinerstr 1, D-81679 Munich, Germany, Max Planck Institute for Extraterrestrial Physics, Giessenbachstrasse, D-85748 Garching, Germany, Universitäts-Sternwarte, Fakultät für Physik, Ludwig-Maximilians Universität München, Scheinerstr 1, D-81679 München, Germany
Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA
Australian Astronomical Optics, Macquarie University, North Ryde, NSW 2113, Australia, Lowell Observatory, 1400 Mars Hill Road, Flagstaff, AZ 86001, USA
Center for Cosmology and Astro-Particle Physics, The Ohio State University, Columbus, OH 43210, USA, Department of Astronomy, The Ohio State University, Columbus, OH 43210, USA, Radcliffe Institute for Advanced Study, Harvard University, Cambridge, MA 02138, USA
Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology, Campus UAB, E-08193 Bellaterra (Barcelona), Spain, Institució Catalana de Recerca i Estudis Avançats, E-08010 Barcelona, Spain
Physics Department, University of Wisconsin–Madison, 1150 University Avenue, Madison, WI 53706-1390, USA
National Center for Supercomputing Applications, 1205 West Clark Street, Urbana, IL 61801, USA, Institute of Astronomy, University of Cambridge, Madingley Road, Cambridge CB3 0HA, UK
Department of Astrophysical Sciences, Princeton University, Peyton Hall, Princeton, NJ 08544, USA
Department of Physics and Astronomy, Pevensey Building, University of Sussex, Brighton BN1 9QH, UK
Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
Max Planck Institute for Extraterrestrial Physics, Giessenbachstrasse, D-85748 Garching, Germany, Universitäts-Sternwarte, Fakultät für Physik, Ludwig-Maximilians Universität München, Scheinerstr 1, D-81679 München, Germany
Cerro Tololo Inter-American Observatory, NSF’s National Optical-Infrared Astronomy Research Laboratory, Casilla 603, La Serena, 2760, Chile
(

Publication Date:: Wed May 26 00:00:00 EDT 2021

Research Org.:: SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States); Univ. of Chicago, IL (United States); Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Univ. of Michigan, Ann Arbor, MI (United States)

Sponsoring Org.:: USDOE Office of Science (SC), Basic Energy Sciences (BES); Science and Technology Facilities Council (STFC); FEDER; USDOE Office of Science (SC), High Energy Physics (HEP); USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)

Contributing Org.:: DES Collaboration

OSTI Identifier:: 1788286

Alternate Identifier(s):: OSTI ID: 1817831; OSTI ID: 1821609; OSTI ID: 1824187; OSTI ID: 1826025; OSTI ID: 1872930

Report Number(s):: FERMILAB-PUB-20-629-AE; arXiv:2012.07180
Journal ID: ISSN 0035-8711

Grant/Contract Number:: FOA-0001781; AC02-76SF00515; ST/P006760/1; ST/R000506/1; 839090; PGC2018-095317-B-C21; NNH15ZDA001N-WFIRST; SC0009924; AC02-07CH11359; AC05-00OR22725; SC0019193

Resource Type:: Published Article

Journal Name:: Monthly Notices of the Royal Astronomical Society

Additional Journal Information:: Journal Name: Monthly Notices of the Royal Astronomical Society Journal Volume: 505 Journal Issue: 2; Journal ID: ISSN 0035-8711

Publisher:: Oxford University Press

Country of Publication:: United Kingdom

Language:: English

Subject:: 79 ASTRONOMY AND ASTROPHYSICS; surveys; supernovae; cosmology; observations

Citation Formats


                    Vincenzi, M., Sullivan, M., Graur, O., Brout, D., Davis, T. M., Frohmaier, C., Galbany, L., Gutiérrez, C. P., Hinton, S. R., Hounsell, R., Kelsey, L., Kessler, R., Kovacs, E., Kuhlmann, S., Lasker, J., Lidman, C., Möller, A., Nichol, R. C., Sako, M., Scolnic, D., Smith, M., Swann, E., Wiseman, P., Asorey, J., Lewis, G. F., Sharp, R., Tucker, B. E., Aguena, M., Allam, S., Avila, S., Bertin, E., Brooks, D., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Castander, F. J., Choi, A., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gutierrez, G., Hollowood, D. L., Honscheid, K., Hoyle, B., James, D. J., Kuehn, K., Kuropatkin, N., Maia, M. A. G., Martini, P., Menanteau, F., Miquel, R., Morgan, R., Palmese, A., Paz-Chinchón, F., Plazas, A. A., Romer, A. K., Sanchez, E., Scarpine, V., Serrano, S., Sevilla-Noarbe, I., Soares-Santos, M., Suchyta, E., Tarle, G., Thomas, D., To, C., Varga, T. N., Walker, A. R., Wilkinson, R. D., and DES Collaboration),. The Dark Energy Survey supernova programme: modelling selection efficiency and observed core-collapse supernova contamination.  United Kingdom: N. p., 2021. 
Web.  doi:10.1093/mnras/stab1353.

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                    Vincenzi, M., Sullivan, M., Graur, O., Brout, D., Davis, T. M., Frohmaier, C., Galbany, L., Gutiérrez, C. P., Hinton, S. R., Hounsell, R., Kelsey, L., Kessler, R., Kovacs, E., Kuhlmann, S., Lasker, J., Lidman, C., Möller, A., Nichol, R. C., Sako, M., Scolnic, D., Smith, M., Swann, E., Wiseman, P., Asorey, J., Lewis, G. F., Sharp, R., Tucker, B. E., Aguena, M., Allam, S., Avila, S., Bertin, E., Brooks, D., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Castander, F. J., Choi, A., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gutierrez, G., Hollowood, D. L., Honscheid, K., Hoyle, B., James, D. J., Kuehn, K., Kuropatkin, N., Maia, M. A. G., Martini, P., Menanteau, F., Miquel, R., Morgan, R., Palmese, A., Paz-Chinchón, F., Plazas, A. A., Romer, A. K., Sanchez, E., Scarpine, V., Serrano, S., Sevilla-Noarbe, I., Soares-Santos, M., Suchyta, E., Tarle, G., Thomas, D., To, C., Varga, T. N., Walker, A. R., Wilkinson, R. D., & DES Collaboration),. The Dark Energy Survey supernova programme: modelling selection efficiency and observed core-collapse supernova contamination.  United Kingdom.  https://doi.org/10.1093/mnras/stab1353

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                    Vincenzi, M., Sullivan, M., Graur, O., Brout, D., Davis, T. M., Frohmaier, C., Galbany, L., Gutiérrez, C. P., Hinton, S. R., Hounsell, R., Kelsey, L., Kessler, R., Kovacs, E., Kuhlmann, S., Lasker, J., Lidman, C., Möller, A., Nichol, R. C., Sako, M., Scolnic, D., Smith, M., Swann, E., Wiseman, P., Asorey, J., Lewis, G. F., Sharp, R., Tucker, B. E., Aguena, M., Allam, S., Avila, S., Bertin, E., Brooks, D., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Castander, F. J., Choi, A., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gutierrez, G., Hollowood, D. L., Honscheid, K., Hoyle, B., James, D. J., Kuehn, K., Kuropatkin, N., Maia, M. A. G., Martini, P., Menanteau, F., Miquel, R., Morgan, R., Palmese, A., Paz-Chinchón, F., Plazas, A. A., Romer, A. K., Sanchez, E., Scarpine, V., Serrano, S., Sevilla-Noarbe, I., Soares-Santos, M., Suchyta, E., Tarle, G., Thomas, D., To, C., Varga, T. N., Walker, A. R., Wilkinson, R. D., and DES Collaboration),. Wed .  
"The Dark Energy Survey supernova programme: modelling selection efficiency and observed core-collapse supernova contamination".  United Kingdom.  https://doi.org/10.1093/mnras/stab1353.

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@article{osti_1788286,

  title        = {The Dark Energy Survey supernova programme: modelling selection efficiency and observed core-collapse supernova contamination},

  author       = {Vincenzi, M. and Sullivan, M. and Graur, O. and Brout, D. and Davis, T. M. and Frohmaier, C. and Galbany, L. and Gutiérrez, C. P. and Hinton, S. R. and Hounsell, R. and Kelsey, L. and Kessler, R. and Kovacs, E. and Kuhlmann, S. and Lasker, J. and Lidman, C. and Möller, A. and Nichol, R. C. and Sako, M. and Scolnic, D. and Smith, M. and Swann, E. and Wiseman, P. and Asorey, J. and Lewis, G. F. and Sharp, R. and Tucker, B. E. and Aguena, M. and Allam, S. and Avila, S. and Bertin, E. and Brooks, D. and Burke, D. L. and Carnero Rosell, A. and Carrasco Kind, M. and Carretero, J. and Castander, F. J. and Choi, A. and Costanzi, M. and da Costa, L. N. and Pereira, M. E. S. and De Vicente, J. and Desai, S. and Diehl, H. T. and Doel, P. and Everett, S. and Ferrero, I. and Fosalba, P. and Frieman, J. and García-Bellido, J. and Gaztanaga, E. and Gerdes, D. W. and Gruen, D. and Gruendl, R. A. and Gutierrez, G. and Hollowood, D. L. and Honscheid, K. and Hoyle, B. and James, D. J. and Kuehn, K. and Kuropatkin, N. and Maia, M. A. G. and Martini, P. and Menanteau, F. and Miquel, R. and Morgan, R. and Palmese, A. and Paz-Chinchón, F. and Plazas, A. A. and Romer, A. K. and Sanchez, E. and Scarpine, V. and Serrano, S. and Sevilla-Noarbe, I. and Soares-Santos, M. and Suchyta, E. and Tarle, G. and Thomas, D. and To, C. and Varga, T. N. and Walker, A. R. and Wilkinson, R. D. and DES Collaboration),},

  abstractNote = {The analysis of current and future cosmological surveys of Type Ia supernovae (SNe Ia) at high redshift depends on the accurate photometric classification of the SN events detected. Generating realistic simulations of photometric SN surveys constitutes an essential step for training and testing photometric classification algorithms, and for correcting biases introduced by selection effects and contamination arising from core-collapse SNe in the photometric SN Ia samples. We use published SN time-series spectrophotometric templates, rates, luminosity functions, and empirical relationships between SNe and their host galaxies to construct a framework for simulating photometric SN surveys. We present this framework in the context of the Dark Energy Survey (DES) 5-yr photometric SN sample, comparing our simulations of DES with the observed DES transient populations. We demonstrate excellent agreement in many distributions, including Hubble residuals, between our simulations and data. We estimate the core collapse fraction expected in the DES SN sample after selection requirements are applied and before photometric classification. After testing different modelling choices and astrophysical assumptions underlying our simulation, we find that the predicted contamination varies from 7.2 to 11.7 per cent, with an average of 8.8 per cent and an r.m.s. of 1.1 per cent. Our simulations are the first to reproduce the observed photometric SN and host galaxy properties in high-redshift surveys without fine-tuning the input parameters. The simulation methods presented here will be a critical component of the cosmology analysis of the DES photometric SN Ia sample: correcting for biases arising from contamination, and evaluating the associated systematic uncertainty.},

  doi          = {10.1093/mnras/stab1353},

  journal      = {Monthly Notices of the Royal Astronomical Society},

  number       = 2,

  volume       = 505,

  place        = {United Kingdom},

  year         = {Wed May 26 00:00:00 EDT 2021},

  month        = {Wed May 26 00:00:00 EDT 2021}

}

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Improved Treatment of Host-galaxy Correlations in Cosmological Analyses with Type Ia Supernovae
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First Cosmology Results using Supernovae Ia from the Dark Energy Survey: Survey Overview, Performance, and Supernova Spectroscopy journal, November 2020

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The Zwicky Transient Facility Bright Transient Survey. II. A Public Statistical Sample for Exploring Supernova Demographics journal, November 2020

First Cosmology Results Using Type Ia Supernovae from the Dark Energy Survey: Photometric Pipeline and Light-curve Data Release journal, March 2019

Cosmic Star-Formation History journal, August 2014

The VIMOS VLT Deep Survey final data release: a spectroscopic sample of 35 016 galaxies and AGN out to z ~ 6.7 selected with 17.5 ≤ i AB ≤ 24.75 journal, October 2013

Automated Transient Identification in the dark Energy Survey journal, August 2015

The 16th Data Release of the Sloan Digital Sky Surveys: First Release from the APOGEE-2 Southern Survey and Full Release of eBOSS Spectra journal, June 2020

Strong dependence of Type Ia supernova standardization on the local specific star formation rate journal, December 2020

Galaxy And Mass Assembly: the G02 field, Herschel–ATLAS target selection and data release 3 journal, November 2017

The VIMOS Public Extragalactic Redshift Survey (VIPERS): Full spectroscopic data and auxiliary information release (PDR-2)⋆ journal, January 2018

THE SDSS-II SUPERNOVA SURVEY: PARAMETERIZING THE TYPE Ia SUPERNOVA RATE AS A FUNCTION OF HOST GALAXY PROPERTIES journal, July 2012

Nearby supernova rates from the Lick Observatory Supernova Search - II. The observed luminosity functions and fractions of supernovae in a complete sample: Nearby supernova rates from LOSS - II journal, March 2011

Models and Simulations for the Photometric LSST Astronomical Time Series Classification Challenge (PLAsTiCC) journal, July 2019

OzDES multi-object fibre spectroscopy for the Dark Energy Survey: results and second data release journal, May 2020

Rates and Properties of Type Ia Supernovae as a Function of Mass and Star Formation in Their Host Galaxies journal, September 2006

Spectropolarimetry of the Peculiar Type Ia Supernova 2005hk journal, May 2006

MOSFiT: Modular Open Source Fitter for Transients journal, May 2018

The relationship between infrared, optical, and ultraviolet extinction journal, October 1989

The MUSE-Wide survey: A first catalogue of 831 emission line galaxies journal, September 2017

TYPE Ia SUPERNOVA RATE MEASUREMENTS TO REDSHIFT 2.5 FROM CANDELS: SEARCHING FOR PROMPT EXPLOSIONS IN THE EARLY UNIVERSE journal, June 2014

The Supernova Legacy Survey: measurement of $\Omega_{\mathsf{M}}$, $\Omega_\mathsf{\Lambda}$ and w from the first year data set journal, January 2006

Long γ‐Ray Bursts and Type Ic Core‐Collapse Supernovae Have Similar Locations in Hosts journal, November 2008

Nearby supernova rates from the Lick Observatory Supernova Search - I. The methods and data base: Nearby SN rates from LOSS - I journal, March 2011

A unified explanation for the supernova rate-galaxy mass dependence based on supernovae detected in Sloan galaxy spectra journal, April 2015

Photometric Supernova Classification with Machine Learning journal, August 2016

PHOTOMETRIC TYPE Ia SUPERNOVA CANDIDATES FROM THE THREE-YEAR SDSS-II SN SURVEY DATA journal, August 2011

The rate of core Collapse Supernovae to Redshift 2.5 from the Candels and Clash Supernova Surveys journal, November 2015

First Cosmology Results Using SNe Ia from the Dark Energy Survey: Analysis, Systematic Uncertainties, and Validation journal, April 2019

Planck 2018 results: VI. Cosmological parameters journal, September 2020

It’s Dust: Solving the Mysteries of the Intrinsic Scatter and Host-galaxy Dependence of Standardized Type Ia Supernova Brightnesses journal, March 2021

SN Ia host galaxy properties from Sloan Digital Sky Survey-II spectroscopy journal, September 2013

The volumetric rate of normal type Ia supernovae in the local Universe discovered by the Palomar Transient Factory journal, March 2019

The evolution of the dust and gas content in galaxies journal, February 2014

Spectrophotometric templates for core-collapse supernovae and their application in simulations of time-domain surveys journal, September 2019

A Measurement of the Rate of Type Ia Supernovae at Redshift z ≈ 0.1 from the First Season of the SDSS‐II Supernova Survey journal, July 2008

The Complete Light-curve Sample of Spectroscopically Confirmed SNe Ia from Pan-STARRS1 and Cosmological Constraints from the Combined Pantheon Sample journal, May 2018

The Foundation Supernova Survey: Measuring Cosmological Parameters with Supernovae from a Single Telescope journal, August 2019

First Cosmology Results using Type Ia Supernovae from the Dark Energy Survey: Constraints on Cosmological Parameters journal, February 2019

Assessment of Systematic Uncertainties in the Cosmological Analysis of the SDSS Supernovae Photometric Sample journal, February 2020

The Peculiar SN 2005hk: Do Some Type Ia Supernovae Explode as Deflagrations? journal, April 2007

Deep Extragalactic VIsible Legacy Survey (DEVILS): motivation,design, and target catalogue journal, June 2018

OzDES multifibre spectroscopy for the Dark Energy Survey: 3-yr results and first data release journal, July 2017

The subluminous, spectroscopically peculiar type IA supernova 1991bg in the elliptical galaxy NGC 4374 journal, October 1992

SExtractor: Software for source extraction journal, June 1996

The Progenitors of Subluminous Type I[CLC]a[/CLC] Supernovae journal, June 2001

High-velocity outflows from young star-forming galaxies in the UKIDSS Ultra-Deep Survey journal, May 2013

Cosmological Constraints from Multiple Probes in the Dark Energy Survey journal, May 2019

Wide-angle tail galaxies in ATLAS: WATs in ATLAS journal, June 2010

The DEEP Groth Strip Galaxy Redshift Survey. III. Redshift Catalog and Properties of Galaxies journal, February 2005

The SAGA Survey. I. Satellite Galaxy Populations around Eight Milky Way Analogs journal, September 2017

The dark Energy Camera journal, October 2015

Berkeley Supernova Ia Program - I. Observations, data reduction and spectroscopic sample of 582 low-redshift Type Ia supernovae: BSNIP I: SN Ia spectra journal, August 2012

Extinction and Radial Distribution of Supernova Properties in Their Parent Galaxies journal, July 1998

Revisiting the Lick Observatory Supernova Search Volume-limited Sample: Updated Classifications and Revised Stripped-envelope Supernova Fractions journal, March 2017

Pippin: A pipeline for supernova cosmology journal, March 2020

The Palomar Transient Factory: System Overview, Performance, and First Results journal, December 2009

Constraining Type Iax supernova progenitor systems with stellar population age dating journal, February 2020

From core collapse to superluminous: the rates of massive stellar explosions from the Palomar Transient Factory journal, November 2020

The Deep2 Galaxy Redshift Survey: Design, Observations, data Reduction, and Redshifts journal, August 2013

Avocado: Photometric Classification of Astronomical Transients with Gaussian Process Augmentation journal, December 2019

COSMOLOGY WITH PHOTOMETRICALLY CLASSIFIED TYPE Ia SUPERNOVAE FROM THE SDSS-II SUPERNOVA SURVEY journal, January 2013

SNANA: A Public Software Package for Supernova Analysis journal, September 2009

TESTING MODELS OF INTRINSIC BRIGHTNESS VARIATIONS IN TYPE Ia SUPERNOVAE AND THEIR IMPACT ON MEASURING COSMOLOGICAL PARAMETERS journal, January 2013

Lick Observatory Supernova Search follow-up program: photometry data release of 93 Type Ia supernovae journal, October 2019

SuperNNova: an open-source framework for Bayesian, neural network-based supernova classification journal, December 2019

LOSS Revisited. I. Unraveling Correlations between Supernova Rates and Galaxy Properties, as Measured in a Reanalysis of the Lick Observatory Supernova Search journal, March 2017

Absolute-Magnitude Distributions of Supernovae journal, April 2014

OzDES multifibre spectroscopy for the Dark Energy Survey: first-year operation and results journal, July 2015

EVOLUTION IN THE VOLUMETRIC TYPE Ia SUPERNOVA RATE FROM THE SUPERNOVA LEGACY SURVEY journal, July 2012

A Comparative Study of the Absolute Magnitude Distributions of Supernovae journal, February 2002

Supernova host galaxies in the dark energy survey: I. Deep coadds, photometry, and stellar masses journal, May 2020

THE GEMINI CLUSTER ASTROPHYSICS SPECTROSCOPIC SURVEY (GCLASS): THE ROLE OF ENVIRONMENT AND SELF-REGULATION IN GALAXY EVOLUTION AT z ∼ 1 journal, February 2012

The Difference Imaging Pipeline for the Transient Search in the dark Energy Survey journal, November 2015

First cosmological results using Type Ia supernovae from the Dark Energy Survey: measurement of the Hubble constant
journal, April 2019

First Cosmology Results using Supernovae Ia from the Dark Energy Survey: Survey Overview, Performance, and Supernova Spectroscopy
journal, November 2020

First cosmology results using Type IA supernovae from the dark energy survey: effects of chromatic corrections to supernova photometry on measurements of cosmological parameters
journal, March 2019

First cosmology results using Type Ia supernova from the Dark Energy Survey: simulations to correct supernova distance biases
journal, February 2019

Results from the Supernova Photometric Classification Challenge
journal, December 2010

The Zwicky Transient Facility Bright Transient Survey. II. A Public Statistical Sample for Exploring Supernova Demographics
journal, November 2020

First Cosmology Results Using Type Ia Supernovae from the Dark Energy Survey: Photometric Pipeline and Light-curve Data Release
journal, March 2019

Cosmic Star-Formation History
journal, August 2014

The VIMOS VLT Deep Survey final data release: a spectroscopic sample of 35 016 galaxies and AGN out to z ~ 6.7 selected with 17.5 ≤ i _AB ≤ 24.75
journal, October 2013

Automated Transient Identification in the dark Energy Survey
journal, August 2015

The 16th Data Release of the Sloan Digital Sky Surveys: First Release from the APOGEE-2 Southern Survey and Full Release of eBOSS Spectra
journal, June 2020

Strong dependence of Type Ia supernova standardization on the local specific star formation rate
journal, December 2020

Galaxy And Mass Assembly: the G02 field, Herschel–ATLAS target selection and data release 3
journal, November 2017

The VIMOS Public Extragalactic Redshift Survey (VIPERS): Full spectroscopic data and auxiliary information release (PDR-2)⋆
journal, January 2018

THE SDSS-II SUPERNOVA SURVEY: PARAMETERIZING THE TYPE Ia SUPERNOVA RATE AS A FUNCTION OF HOST GALAXY PROPERTIES
journal, July 2012

Nearby supernova rates from the Lick Observatory Supernova Search - II. The observed luminosity functions and fractions of supernovae in a complete sample: Nearby supernova rates from LOSS - II
journal, March 2011

Models and Simulations for the Photometric LSST Astronomical Time Series Classification Challenge (PLAsTiCC)
journal, July 2019

OzDES multi-object fibre spectroscopy for the Dark Energy Survey: results and second data release
journal, May 2020

Rates and Properties of Type Ia Supernovae as a Function of Mass and Star Formation in Their Host Galaxies
journal, September 2006

Spectropolarimetry of the Peculiar Type Ia Supernova 2005hk
journal, May 2006

MOSFiT: Modular Open Source Fitter for Transients
journal, May 2018

The relationship between infrared, optical, and ultraviolet extinction
journal, October 1989

The MUSE-Wide survey: A first catalogue of 831 emission line galaxies
journal, September 2017

TYPE Ia SUPERNOVA RATE MEASUREMENTS TO REDSHIFT 2.5 FROM CANDELS: SEARCHING FOR PROMPT EXPLOSIONS IN THE EARLY UNIVERSE
journal, June 2014

The Supernova Legacy Survey: measurement of $\Omega_{\mathsf{M}}$, $\Omega_\mathsf{\Lambda}$ and w from the first year data set
journal, January 2006

Long γ‐Ray Bursts and Type Ic Core‐Collapse Supernovae Have Similar Locations in Hosts
journal, November 2008

Nearby supernova rates from the Lick Observatory Supernova Search - I. The methods and data base: Nearby SN rates from LOSS - I
journal, March 2011

A unified explanation for the supernova rate-galaxy mass dependence based on supernovae detected in Sloan galaxy spectra
journal, April 2015

Photometric Supernova Classification with Machine Learning
journal, August 2016

PHOTOMETRIC TYPE Ia SUPERNOVA CANDIDATES FROM THE THREE-YEAR SDSS-II SN SURVEY DATA
journal, August 2011

The rate of core Collapse Supernovae to Redshift 2.5 from the Candels and Clash Supernova Surveys
journal, November 2015

First Cosmology Results Using SNe Ia from the Dark Energy Survey: Analysis, Systematic Uncertainties, and Validation
journal, April 2019

Planck 2018 results: VI. Cosmological parameters
journal, September 2020

It’s Dust: Solving the Mysteries of the Intrinsic Scatter and Host-galaxy Dependence of Standardized Type Ia Supernova Brightnesses
journal, March 2021

SN Ia host galaxy properties from Sloan Digital Sky Survey-II spectroscopy
journal, September 2013

The volumetric rate of normal type Ia supernovae in the local Universe discovered by the Palomar Transient Factory
journal, March 2019

The evolution of the dust and gas content in galaxies
journal, February 2014

Spectrophotometric templates for core-collapse supernovae and their application in simulations of time-domain surveys
journal, September 2019

A Measurement of the Rate of Type Ia Supernovae at Redshift z ≈ 0.1 from the First Season of the SDSS‐II Supernova Survey
journal, July 2008

The Complete Light-curve Sample of Spectroscopically Confirmed SNe Ia from Pan-STARRS1 and Cosmological Constraints from the Combined Pantheon Sample
journal, May 2018

The Foundation Supernova Survey: Measuring Cosmological Parameters with Supernovae from a Single Telescope
journal, August 2019

First Cosmology Results using Type Ia Supernovae from the Dark Energy Survey: Constraints on Cosmological Parameters
journal, February 2019

Assessment of Systematic Uncertainties in the Cosmological Analysis of the SDSS Supernovae Photometric Sample
journal, February 2020

The Peculiar SN 2005hk: Do Some Type Ia Supernovae Explode as Deflagrations?
journal, April 2007

Deep Extragalactic VIsible Legacy Survey (DEVILS): motivation,design, and target catalogue
journal, June 2018

OzDES multifibre spectroscopy for the Dark Energy Survey: 3-yr results and first data release
journal, July 2017

The subluminous, spectroscopically peculiar type IA supernova 1991bg in the elliptical galaxy NGC 4374
journal, October 1992

SExtractor: Software for source extraction
journal, June 1996

The Progenitors of Subluminous Type I[CLC]a[/CLC] Supernovae
journal, June 2001

High-velocity outflows from young star-forming galaxies in the UKIDSS Ultra-Deep Survey
journal, May 2013

Cosmological Constraints from Multiple Probes in the Dark Energy Survey
journal, May 2019

Wide-angle tail galaxies in ATLAS: WATs in ATLAS
journal, June 2010

The DEEP Groth Strip Galaxy Redshift Survey. III. Redshift Catalog and Properties of Galaxies
journal, February 2005

The SAGA Survey. I. Satellite Galaxy Populations around Eight Milky Way Analogs
journal, September 2017

The dark Energy Camera
journal, October 2015

Berkeley Supernova Ia Program - I. Observations, data reduction and spectroscopic sample of 582 low-redshift Type Ia supernovae: BSNIP I: SN Ia spectra
journal, August 2012

Extinction and Radial Distribution of Supernova Properties in Their Parent Galaxies
journal, July 1998

Revisiting the Lick Observatory Supernova Search Volume-limited Sample: Updated Classifications and Revised Stripped-envelope Supernova Fractions
journal, March 2017

Pippin: A pipeline for supernova cosmology
journal, March 2020

The Palomar Transient Factory: System Overview, Performance, and First Results
journal, December 2009

Constraining Type Iax supernova progenitor systems with stellar population age dating
journal, February 2020

From core collapse to superluminous: the rates of massive stellar explosions from the Palomar Transient Factory
journal, November 2020

The Deep2 Galaxy Redshift Survey: Design, Observations, data Reduction, and Redshifts
journal, August 2013

Avocado: Photometric Classification of Astronomical Transients with Gaussian Process Augmentation
journal, December 2019

COSMOLOGY WITH PHOTOMETRICALLY CLASSIFIED TYPE Ia SUPERNOVAE FROM THE SDSS-II SUPERNOVA SURVEY
journal, January 2013

SNANA: A Public Software Package for Supernova Analysis
journal, September 2009

TESTING MODELS OF INTRINSIC BRIGHTNESS VARIATIONS IN TYPE Ia SUPERNOVAE AND THEIR IMPACT ON MEASURING COSMOLOGICAL PARAMETERS
journal, January 2013

Lick Observatory Supernova Search follow-up program: photometry data release of 93 Type Ia supernovae
journal, October 2019

SuperNNova: an open-source framework for Bayesian, neural network-based supernova classification
journal, December 2019

LOSS Revisited. I. Unraveling Correlations between Supernova Rates and Galaxy Properties, as Measured in a Reanalysis of the Lick Observatory Supernova Search
journal, March 2017

Absolute-Magnitude Distributions of Supernovae
journal, April 2014

OzDES multifibre spectroscopy for the Dark Energy Survey: first-year operation and results
journal, July 2015

EVOLUTION IN THE VOLUMETRIC TYPE Ia SUPERNOVA RATE FROM THE SUPERNOVA LEGACY SURVEY
journal, July 2012

A Comparative Study of the Absolute Magnitude Distributions of Supernovae
journal, February 2002

Supernova host galaxies in the dark energy survey: I. Deep coadds, photometry, and stellar masses
journal, May 2020

THE GEMINI CLUSTER ASTROPHYSICS SPECTROSCOPIC SURVEY (GCLASS): THE ROLE OF ENVIRONMENT AND SELF-REGULATION IN GALAXY EVOLUTION AT z ∼ 1
journal, February 2012

The Difference Imaging Pipeline for the Transient Search in the dark Energy Survey
journal, November 2015

First cosmology results using type Ia supernovae from the Dark Energy Survey: the effect of host galaxy properties on supernova luminosity
journal, April 2020

The Supernova Legacy Survey 3-year sample: Type Ia supernovae photometric distances and cosmological constraints
journal, November 2010

The Redmapper Galaxy Cluster Catalog from des Science Verification data
journal, May 2016