Host Galaxy Identification for Supernova Surveys
Abstract
Host galaxy identification is a crucial step for modern supernova (SN) surveys such as the Dark Energy Survey and the Large Synoptic Survey Telescope, which will discover SNe by the thousands. Spectroscopic resources are limited, and so in the absence of real-time SN spectra these surveys must rely on host galaxy spectra to obtain accurate redshifts for the Hubble diagram and to improve photometric classification of SNe. In addition, SN luminosities are known to correlate with host-galaxy properties. Therefore, reliable identification of host galaxies is essential for cosmology and SN science. We simulate SN events and their locations within their host galaxies to develop and test methods for matching SNe to their hosts. We use both real and simulated galaxy catalog data from the Advanced Camera for Surveys General Catalog and MICECATv2.0, respectively. We also incorporate "hostless" SNe residing in undetected faint hosts into our analysis, with an assumed hostless rate of 5%. Our fully automated algorithm is run on catalog data and matches SNe to their hosts with 91% accuracy. Here, we find that including a machine learning component, run after the initial matching algorithm, improves the accuracy (purity) of the matching to 97% with a 2% cost inmore »
- Authors:
- more »
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Argonne National Lab. (ANL), Argonne, IL (United States); SLAC National Accelerator Lab., Menlo Park, CA (United States); Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), High Energy Physics (HEP)
- Contributing Org.:
- Dark Energy Survey (DES) Collaboration; DES
- OSTI Identifier:
- 1474982
- Alternate Identifier(s):
- OSTI ID: 1260389; OSTI ID: 1358587
- Report Number(s):
- FERMILAB-PUB-16-124-AE-PPD; arXiv:1604.06138
Journal ID: ISSN 1538-3881; ark:/13030/qt34x239rw
- Grant/Contract Number:
- AC02-05CH11231; AC02-76SF00515; AC02-07CH11359
- Resource Type:
- Accepted Manuscript
- Journal Name:
- The Astronomical Journal (Online)
- Additional Journal Information:
- Journal Name: The Astronomical Journal (Online); Journal Volume: 152; Journal Issue: 6; Journal ID: ISSN 1538-3881
- Publisher:
- IOP Publishing - AAAS
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 79 ASTRONOMY AND ASTROPHYSICS; catalogs; galaxies: general; supernovae: general; surveys
Citation Formats
Gupta, Ravi R., Kuhlmann, Steve, Kovacs, Eve, Spinka, Harold, Kessler, Richard, Goldstein, Daniel A., Liotine, Camille, Pomian, Katarzyna, D’Andrea, Chris B., Sullivan, Mark, Carretero, Jorge, Castander, Francisco J., Nichol, Robert C., Finley, David A., Fischer, John A., Foley, Ryan J., Kim, Alex G., Papadopoulos, Andreas, Sako, Masao, Scolnic, Daniel M., Smith, Mathew, Tucker, Brad E., Uddin, Syed, Wolf, Rachel C., Yuan, Fang, Abbott, Tim M. C., Abdalla, Filipe B., Benoit-Lévy, Aurélien, Bertin, Emmanuel, Brooks, David, Rosell, Aurelio Carnero, Kind, Matias Carrasco, Cunha, Carlos E., Costa, Luiz N. da, Desai, Shantanu, Doel, Peter, Eifler, Tim F., Evrard, August E., Flaugher, Brenna, Fosalba, Pablo, Gaztañaga, Enrique, Gruen, Daniel, Gruendl, Robert, James, David J., Kuehn, Kyler, Kuropatkin, Nikolay, Maia, Marcio A. G., Marshall, Jennifer L., Miquel, Ramon, Plazas, Andrés A., Romer, A. Kathy, Sánchez, Eusebio, Schubnell, Michael, Sevilla-Noarbe, Ignacio, Sobreira, Flávia, Suchyta, Eric, Swanson, Molly E. C., Tarle, Gregory, Walker, Alistair R., and Wester, William. Host Galaxy Identification for Supernova Surveys. United States: N. p., 2016.
Web. doi:10.3847/0004-6256/152/6/154.
Gupta, Ravi R., Kuhlmann, Steve, Kovacs, Eve, Spinka, Harold, Kessler, Richard, Goldstein, Daniel A., Liotine, Camille, Pomian, Katarzyna, D’Andrea, Chris B., Sullivan, Mark, Carretero, Jorge, Castander, Francisco J., Nichol, Robert C., Finley, David A., Fischer, John A., Foley, Ryan J., Kim, Alex G., Papadopoulos, Andreas, Sako, Masao, Scolnic, Daniel M., Smith, Mathew, Tucker, Brad E., Uddin, Syed, Wolf, Rachel C., Yuan, Fang, Abbott, Tim M. C., Abdalla, Filipe B., Benoit-Lévy, Aurélien, Bertin, Emmanuel, Brooks, David, Rosell, Aurelio Carnero, Kind, Matias Carrasco, Cunha, Carlos E., Costa, Luiz N. da, Desai, Shantanu, Doel, Peter, Eifler, Tim F., Evrard, August E., Flaugher, Brenna, Fosalba, Pablo, Gaztañaga, Enrique, Gruen, Daniel, Gruendl, Robert, James, David J., Kuehn, Kyler, Kuropatkin, Nikolay, Maia, Marcio A. G., Marshall, Jennifer L., Miquel, Ramon, Plazas, Andrés A., Romer, A. Kathy, Sánchez, Eusebio, Schubnell, Michael, Sevilla-Noarbe, Ignacio, Sobreira, Flávia, Suchyta, Eric, Swanson, Molly E. C., Tarle, Gregory, Walker, Alistair R., & Wester, William. Host Galaxy Identification for Supernova Surveys. United States. https://doi.org/10.3847/0004-6256/152/6/154
Gupta, Ravi R., Kuhlmann, Steve, Kovacs, Eve, Spinka, Harold, Kessler, Richard, Goldstein, Daniel A., Liotine, Camille, Pomian, Katarzyna, D’Andrea, Chris B., Sullivan, Mark, Carretero, Jorge, Castander, Francisco J., Nichol, Robert C., Finley, David A., Fischer, John A., Foley, Ryan J., Kim, Alex G., Papadopoulos, Andreas, Sako, Masao, Scolnic, Daniel M., Smith, Mathew, Tucker, Brad E., Uddin, Syed, Wolf, Rachel C., Yuan, Fang, Abbott, Tim M. C., Abdalla, Filipe B., Benoit-Lévy, Aurélien, Bertin, Emmanuel, Brooks, David, Rosell, Aurelio Carnero, Kind, Matias Carrasco, Cunha, Carlos E., Costa, Luiz N. da, Desai, Shantanu, Doel, Peter, Eifler, Tim F., Evrard, August E., Flaugher, Brenna, Fosalba, Pablo, Gaztañaga, Enrique, Gruen, Daniel, Gruendl, Robert, James, David J., Kuehn, Kyler, Kuropatkin, Nikolay, Maia, Marcio A. G., Marshall, Jennifer L., Miquel, Ramon, Plazas, Andrés A., Romer, A. Kathy, Sánchez, Eusebio, Schubnell, Michael, Sevilla-Noarbe, Ignacio, Sobreira, Flávia, Suchyta, Eric, Swanson, Molly E. C., Tarle, Gregory, Walker, Alistair R., and Wester, William. Thu .
"Host Galaxy Identification for Supernova Surveys". United States. https://doi.org/10.3847/0004-6256/152/6/154. https://www.osti.gov/servlets/purl/1474982.
@article{osti_1474982,
title = {Host Galaxy Identification for Supernova Surveys},
author = {Gupta, Ravi R. and Kuhlmann, Steve and Kovacs, Eve and Spinka, Harold and Kessler, Richard and Goldstein, Daniel A. and Liotine, Camille and Pomian, Katarzyna and D’Andrea, Chris B. and Sullivan, Mark and Carretero, Jorge and Castander, Francisco J. and Nichol, Robert C. and Finley, David A. and Fischer, John A. and Foley, Ryan J. and Kim, Alex G. and Papadopoulos, Andreas and Sako, Masao and Scolnic, Daniel M. and Smith, Mathew and Tucker, Brad E. and Uddin, Syed and Wolf, Rachel C. and Yuan, Fang and Abbott, Tim M. C. and Abdalla, Filipe B. and Benoit-Lévy, Aurélien and Bertin, Emmanuel and Brooks, David and Rosell, Aurelio Carnero and Kind, Matias Carrasco and Cunha, Carlos E. and Costa, Luiz N. da and Desai, Shantanu and Doel, Peter and Eifler, Tim F. and Evrard, August E. and Flaugher, Brenna and Fosalba, Pablo and Gaztañaga, Enrique and Gruen, Daniel and Gruendl, Robert and James, David J. and Kuehn, Kyler and Kuropatkin, Nikolay and Maia, Marcio A. G. and Marshall, Jennifer L. and Miquel, Ramon and Plazas, Andrés A. and Romer, A. Kathy and Sánchez, Eusebio and Schubnell, Michael and Sevilla-Noarbe, Ignacio and Sobreira, Flávia and Suchyta, Eric and Swanson, Molly E. C. and Tarle, Gregory and Walker, Alistair R. and Wester, William},
abstractNote = {Host galaxy identification is a crucial step for modern supernova (SN) surveys such as the Dark Energy Survey and the Large Synoptic Survey Telescope, which will discover SNe by the thousands. Spectroscopic resources are limited, and so in the absence of real-time SN spectra these surveys must rely on host galaxy spectra to obtain accurate redshifts for the Hubble diagram and to improve photometric classification of SNe. In addition, SN luminosities are known to correlate with host-galaxy properties. Therefore, reliable identification of host galaxies is essential for cosmology and SN science. We simulate SN events and their locations within their host galaxies to develop and test methods for matching SNe to their hosts. We use both real and simulated galaxy catalog data from the Advanced Camera for Surveys General Catalog and MICECATv2.0, respectively. We also incorporate "hostless" SNe residing in undetected faint hosts into our analysis, with an assumed hostless rate of 5%. Our fully automated algorithm is run on catalog data and matches SNe to their hosts with 91% accuracy. Here, we find that including a machine learning component, run after the initial matching algorithm, improves the accuracy (purity) of the matching to 97% with a 2% cost in efficiency (true positive rate). Although the exact results are dependent on the details of the survey and the galaxy catalogs used, the method of identifying host galaxies we outline here can be applied to any transient survey.},
doi = {10.3847/0004-6256/152/6/154},
journal = {The Astronomical Journal (Online)},
number = 6,
volume = 152,
place = {United States},
year = {Thu Nov 10 00:00:00 EST 2016},
month = {Thu Nov 10 00:00:00 EST 2016}
}
Web of Science
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Photometric classification and redshift estimation of LSST Supernovae
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Effect of lensing magnification on type Ia supernova cosmology
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Superluminous supernovae from the Dark Energy Survey
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SuperNNova: an open-source framework for Bayesian, neural network-based supernova classification
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First cosmology results using Type Ia supernova from the Dark Energy Survey: simulations to correct supernova distance biases
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Widespread star formation inside galactic outflows
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First cosmology results using Type IA supernovae from the dark energy survey: effects of chromatic corrections to supernova photometry on measurements of cosmological parameters
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The volumetric rate of normal type Ia supernovae in the local Universe discovered by the Palomar Transient Factory
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Photometric supernovae redshift systematics requirements
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Correcting Type Ia Supernova Distances for Selection Biases and Contamination in Photometrically Identified Samples
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First Cosmology Results Using SNe Ia from the Dark Energy Survey: Analysis, Systematic Uncertainties, and Validation
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Steve: A Hierarchical Bayesian Model for Supernova Cosmology
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The Foundation Supernova Survey: Measuring Cosmological Parameters with Supernovae from a Single Telescope
journal, August 2019
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HSC16aayt: A Slowly Evolving Interacting Transient Rising for More than 100 Days
journal, September 2019
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First Cosmology Results using Type Ia Supernovae from the Dark Energy Survey: Constraints on Cosmological Parameters
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A Search for Optical Emission from Binary Black Hole Merger GW170814 with the Dark Energy Camera
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Widespread star formation inside galactic outflows
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Rapidly evolving transients in the Dark Energy Survey
text, January 2018
- Pursiainen, M.; Childress, M.; Smith, M.
- arXiv
The Foundation Supernova Survey: Measuring Cosmological Parameters with Supernovae from a Single Telescope
text, January 2018
- Jones, D. O.; Scolnic, D. M.; Foley, R. J.
- arXiv
Superluminous Supernovae from the Dark Energy Survey
text, January 2018
- Angus, C. R.; Smith, M.; Sullivan, M.
- arXiv
Effect of lensing magnification on type Ia supernova cosmology
text, January 2019
- Sakakibara, Hinako; Nishizawa, Atsushi J.; Oguri, Masamune
- arXiv
HSC16aayt: Slowly evolving interacting transient rising for more than 100 days
text, January 2019
- Moriya, Takashi J.; Tanaka, Masaomi; Morokuma, Tomoki
- arXiv