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Title: 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 (DES) and the Large Synoptic Survey Telescope (LSST), which will discover SNe by the thousands. Spectroscopic resources are limited, 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. 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 » 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.« less

Authors:
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Publication Date:
Research Org.:
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); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)
Contributing Org.:
DES; Dark Energy Survey (DES) Collaboration
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; 1449957
Grant/Contract Number:  
AC02-07CH11359; AC02-76SF00515; AC02-05CH11231
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Astronomical Journal (Online)
Additional Journal Information:
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. 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., and Wester, William. Tue . "Host galaxy identification for supernova surveys". United States. doi: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 (DES) and the Large Synoptic Survey Telescope (LSST), which will discover SNe by the thousands. Spectroscopic resources are limited, 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. 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 = {Astronomical Journal (Online)},
issn = {1538-3881},
number = 6,
volume = 152,
place = {United States},
year = {2016},
month = {11}
}

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