Using Host Galaxy Photometric Redshifts to Improve Cosmological Constraints with Type Ia Supernovae in the LSST Era
We perform a rigorous cosmology analysis on simulated Type Ia supernovae (SNe Ia) and evaluate the improvement from including photometric host galaxy redshifts compared to using only the “ z spec ” subset with spectroscopic redshifts from the host or SN. We use the Deep Drilling Fields (∼50 deg 2 )...
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| Veröffentlicht in: | The Astrophysical journal 2023-02, Vol.944 (2), p.212 |
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| creator | Mitra, Ayan Kessler, Richard More, Surhud Hlozek, Renee |
| description | We perform a rigorous cosmology analysis on simulated Type Ia supernovae (SNe Ia) and evaluate the improvement from including photometric host galaxy redshifts compared to using only the “
z
spec
” subset with spectroscopic redshifts from the host or SN. We use the Deep Drilling Fields (∼50 deg
2
) from the Photometric LSST Astronomical Time-Series Classification Challenge (
PLAsTiCC
) in combination with a low-
z
sample based on Data Challenge2. The analysis includes light-curve fitting to standardize the SN brightness, a high-statistics simulation to obtain a bias-corrected Hubble diagram, a statistical+systematics covariance matrix including calibration and photo-
z
uncertainties, and cosmology fitting with a prior from the cosmic microwave background. Compared to using the
z
spec
subset, including events with SN+host photo-
z
results in (i) more precise distances for
z
> 0.5, (ii) a Hubble diagram that extends 0.3 further in redshift, and (iii) a 50% increase in the Dark Energy Task Force figure of merit (FoM) based on the
w
0
w
a
CDM model. Analyzing 25 simulated data samples, the average bias on
w
0
and
w
a
is consistent with zero. The host photo-
z
systematic of 0.01 reduces FoM by only 2% because (i) most
z
< 0.5 events are in the
z
spec
subset, (ii) the combined SN+host photo-
z
has ×2 smaller bias, and (iii) the anticorrelation between fitted redshift and color self-corrects distance errors. To prepare for analyzing real data, the next SN Ia cosmology analysis with photo-
z
s should include non–SN Ia contamination and host galaxy misassociations. |
| doi_str_mv | 10.3847/1538-4357/acb057 |
| format | Article |
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z
spec
” subset with spectroscopic redshifts from the host or SN. We use the Deep Drilling Fields (∼50 deg
2
) from the Photometric LSST Astronomical Time-Series Classification Challenge (
PLAsTiCC
) in combination with a low-
z
sample based on Data Challenge2. The analysis includes light-curve fitting to standardize the SN brightness, a high-statistics simulation to obtain a bias-corrected Hubble diagram, a statistical+systematics covariance matrix including calibration and photo-
z
uncertainties, and cosmology fitting with a prior from the cosmic microwave background. Compared to using the
z
spec
subset, including events with SN+host photo-
z
results in (i) more precise distances for
z
> 0.5, (ii) a Hubble diagram that extends 0.3 further in redshift, and (iii) a 50% increase in the Dark Energy Task Force figure of merit (FoM) based on the
w
0
w
a
CDM model. Analyzing 25 simulated data samples, the average bias on
w
0
and
w
a
is consistent with zero. The host photo-
z
systematic of 0.01 reduces FoM by only 2% because (i) most
z
< 0.5 events are in the
z
spec
subset, (ii) the combined SN+host photo-
z
has ×2 smaller bias, and (iii) the anticorrelation between fitted redshift and color self-corrects distance errors. To prepare for analyzing real data, the next SN Ia cosmology analysis with photo-
z
s should include non–SN Ia contamination and host galaxy misassociations.</description><identifier>ISSN: 0004-637X</identifier><identifier>EISSN: 1538-4357</identifier><identifier>DOI: 10.3847/1538-4357/acb057</identifier><language>eng</language><publisher>Philadelphia: The American Astronomical Society</publisher><subject>Astronomy & Astrophysics ; ASTRONOMY AND ASTROPHYSICS ; Astrophysics ; Bias ; Big Bang theory ; Calibration ; Celestial bodies ; Cosmic microwave background ; Cosmology ; Covariance matrix ; Curve fitting ; Dark energy ; Data analysis ; Figure of merit ; Galaxies ; Hubble diagram ; Photometry ; Red shift ; Simulation ; Space telescopes ; Stars & galaxies ; Supernovae ; Systematics ; Type Ia supernovae</subject><ispartof>The Astrophysical journal, 2023-02, Vol.944 (2), p.212</ispartof><rights>2023. The Author(s). Published by the American Astronomical Society.</rights><rights>2023. The Author(s). Published by the American Astronomical Society. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c443t-f6f7d4d7687476a81b0880a3acff559482df5daf45f26c2456a02e1420b0dcb53</citedby><cites>FETCH-LOGICAL-c443t-f6f7d4d7687476a81b0880a3acff559482df5daf45f26c2456a02e1420b0dcb53</cites><orcidid>0000-0003-3221-0419 ; 0000-0002-9436-8871 ; 0000-0002-2986-2371 ; 0000-0002-0965-7864 ; 0000000332210419 ; 0000000294368871 ; 0000000229862371 ; 0000000209657864</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://iopscience.iop.org/article/10.3847/1538-4357/acb057/pdf$$EPDF$$P50$$Giop$$Hfree_for_read</linktopdf><link.rule.ids>230,314,778,782,862,883,2098,27907,27908,38873,53850</link.rule.ids><backlink>$$Uhttps://www.osti.gov/servlets/purl/2423144$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Mitra, Ayan</creatorcontrib><creatorcontrib>Kessler, Richard</creatorcontrib><creatorcontrib>More, Surhud</creatorcontrib><creatorcontrib>Hlozek, Renee</creatorcontrib><creatorcontrib>The LSST Dark Energy Science Collaboration</creatorcontrib><creatorcontrib>Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC)</creatorcontrib><title>Using Host Galaxy Photometric Redshifts to Improve Cosmological Constraints with Type Ia Supernovae in the LSST Era</title><title>The Astrophysical journal</title><addtitle>APJ</addtitle><addtitle>Astrophys. J</addtitle><description>We perform a rigorous cosmology analysis on simulated Type Ia supernovae (SNe Ia) and evaluate the improvement from including photometric host galaxy redshifts compared to using only the “
z
spec
” subset with spectroscopic redshifts from the host or SN. We use the Deep Drilling Fields (∼50 deg
2
) from the Photometric LSST Astronomical Time-Series Classification Challenge (
PLAsTiCC
) in combination with a low-
z
sample based on Data Challenge2. The analysis includes light-curve fitting to standardize the SN brightness, a high-statistics simulation to obtain a bias-corrected Hubble diagram, a statistical+systematics covariance matrix including calibration and photo-
z
uncertainties, and cosmology fitting with a prior from the cosmic microwave background. Compared to using the
z
spec
subset, including events with SN+host photo-
z
results in (i) more precise distances for
z
> 0.5, (ii) a Hubble diagram that extends 0.3 further in redshift, and (iii) a 50% increase in the Dark Energy Task Force figure of merit (FoM) based on the
w
0
w
a
CDM model. Analyzing 25 simulated data samples, the average bias on
w
0
and
w
a
is consistent with zero. The host photo-
z
systematic of 0.01 reduces FoM by only 2% because (i) most
z
< 0.5 events are in the
z
spec
subset, (ii) the combined SN+host photo-
z
has ×2 smaller bias, and (iii) the anticorrelation between fitted redshift and color self-corrects distance errors. To prepare for analyzing real data, the next SN Ia cosmology analysis with photo-
z
s should include non–SN Ia contamination and host galaxy misassociations.</description><subject>Astronomy & Astrophysics</subject><subject>ASTRONOMY AND ASTROPHYSICS</subject><subject>Astrophysics</subject><subject>Bias</subject><subject>Big Bang theory</subject><subject>Calibration</subject><subject>Celestial bodies</subject><subject>Cosmic microwave background</subject><subject>Cosmology</subject><subject>Covariance matrix</subject><subject>Curve fitting</subject><subject>Dark energy</subject><subject>Data analysis</subject><subject>Figure of merit</subject><subject>Galaxies</subject><subject>Hubble diagram</subject><subject>Photometry</subject><subject>Red shift</subject><subject>Simulation</subject><subject>Space telescopes</subject><subject>Stars & galaxies</subject><subject>Supernovae</subject><subject>Systematics</subject><subject>Type Ia supernovae</subject><issn>0004-637X</issn><issn>1538-4357</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>O3W</sourceid><sourceid>DOA</sourceid><recordid>eNp1UU2P0zAQtRBIlMKdowVXwjr-SJwjqpbdSpVAtCtxsyaO3bhK42C7C_33OAQtJw6j0YzevHkzD6G3JfnIJK9vSsFkwZmob0C3RNTP0Oqp9RytCCG8qFj9_SV6FeNpLmnTrFB8iG484nsfE76DAX5d8dfeJ382KTiNv5ku9s6miJPH2_MU_KPBGx_PfvBHp2HIxRhTADdmzE-Xeny4TgZvAe8vkwmjfwSD3YhTb_Buvz_g2wCv0QsLQzRv_uY1evh8e9jcF7svd9vNp12hOWepsJWtO97Vlax5XYEsWyIlAQbaWiEaLmlnRQeWC0srTbmogFBTckpa0ulWsDXaLrydh5OagjtDuCoPTv1p-HBUEJLTg1FcmkZoa0rB83JKW9qxqhEtayVvq9JkrncLV36UU1G7ZHSv_TganRTllJVZ8xq9X0D5Tz8uJiZ18pcw5hsVrSXhPMcsiywoHXyMwdgnaSVRs5dqNk7NxqnFyzzyYRlxfvrH-V_4b2_Qnxk</recordid><startdate>20230201</startdate><enddate>20230201</enddate><creator>Mitra, Ayan</creator><creator>Kessler, Richard</creator><creator>More, Surhud</creator><creator>Hlozek, Renee</creator><general>The American Astronomical Society</general><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>8FD</scope><scope>H8D</scope><scope>KL.</scope><scope>L7M</scope><scope>OIOZB</scope><scope>OTOTI</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-3221-0419</orcidid><orcidid>https://orcid.org/0000-0002-9436-8871</orcidid><orcidid>https://orcid.org/0000-0002-2986-2371</orcidid><orcidid>https://orcid.org/0000-0002-0965-7864</orcidid><orcidid>https://orcid.org/0000000332210419</orcidid><orcidid>https://orcid.org/0000000294368871</orcidid><orcidid>https://orcid.org/0000000229862371</orcidid><orcidid>https://orcid.org/0000000209657864</orcidid></search><sort><creationdate>20230201</creationdate><title>Using Host Galaxy Photometric Redshifts to Improve Cosmological Constraints with Type Ia Supernovae in the LSST Era</title><author>Mitra, Ayan ; Kessler, Richard ; More, Surhud ; Hlozek, Renee</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c443t-f6f7d4d7687476a81b0880a3acff559482df5daf45f26c2456a02e1420b0dcb53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Astronomy & Astrophysics</topic><topic>ASTRONOMY AND ASTROPHYSICS</topic><topic>Astrophysics</topic><topic>Bias</topic><topic>Big Bang theory</topic><topic>Calibration</topic><topic>Celestial bodies</topic><topic>Cosmic microwave background</topic><topic>Cosmology</topic><topic>Covariance matrix</topic><topic>Curve fitting</topic><topic>Dark energy</topic><topic>Data analysis</topic><topic>Figure of merit</topic><topic>Galaxies</topic><topic>Hubble diagram</topic><topic>Photometry</topic><topic>Red shift</topic><topic>Simulation</topic><topic>Space telescopes</topic><topic>Stars & galaxies</topic><topic>Supernovae</topic><topic>Systematics</topic><topic>Type Ia supernovae</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mitra, Ayan</creatorcontrib><creatorcontrib>Kessler, Richard</creatorcontrib><creatorcontrib>More, Surhud</creatorcontrib><creatorcontrib>Hlozek, Renee</creatorcontrib><creatorcontrib>The LSST Dark Energy Science Collaboration</creatorcontrib><creatorcontrib>Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). 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National Energy Research Scientific Computing Center (NERSC)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Using Host Galaxy Photometric Redshifts to Improve Cosmological Constraints with Type Ia Supernovae in the LSST Era</atitle><jtitle>The Astrophysical journal</jtitle><stitle>APJ</stitle><addtitle>Astrophys. J</addtitle><date>2023-02-01</date><risdate>2023</risdate><volume>944</volume><issue>2</issue><spage>212</spage><pages>212-</pages><issn>0004-637X</issn><eissn>1538-4357</eissn><abstract>We perform a rigorous cosmology analysis on simulated Type Ia supernovae (SNe Ia) and evaluate the improvement from including photometric host galaxy redshifts compared to using only the “
z
spec
” subset with spectroscopic redshifts from the host or SN. We use the Deep Drilling Fields (∼50 deg
2
) from the Photometric LSST Astronomical Time-Series Classification Challenge (
PLAsTiCC
) in combination with a low-
z
sample based on Data Challenge2. The analysis includes light-curve fitting to standardize the SN brightness, a high-statistics simulation to obtain a bias-corrected Hubble diagram, a statistical+systematics covariance matrix including calibration and photo-
z
uncertainties, and cosmology fitting with a prior from the cosmic microwave background. Compared to using the
z
spec
subset, including events with SN+host photo-
z
results in (i) more precise distances for
z
> 0.5, (ii) a Hubble diagram that extends 0.3 further in redshift, and (iii) a 50% increase in the Dark Energy Task Force figure of merit (FoM) based on the
w
0
w
a
CDM model. Analyzing 25 simulated data samples, the average bias on
w
0
and
w
a
is consistent with zero. The host photo-
z
systematic of 0.01 reduces FoM by only 2% because (i) most
z
< 0.5 events are in the
z
spec
subset, (ii) the combined SN+host photo-
z
has ×2 smaller bias, and (iii) the anticorrelation between fitted redshift and color self-corrects distance errors. To prepare for analyzing real data, the next SN Ia cosmology analysis with photo-
z
s should include non–SN Ia contamination and host galaxy misassociations.</abstract><cop>Philadelphia</cop><pub>The American Astronomical Society</pub><doi>10.3847/1538-4357/acb057</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0003-3221-0419</orcidid><orcidid>https://orcid.org/0000-0002-9436-8871</orcidid><orcidid>https://orcid.org/0000-0002-2986-2371</orcidid><orcidid>https://orcid.org/0000-0002-0965-7864</orcidid><orcidid>https://orcid.org/0000000332210419</orcidid><orcidid>https://orcid.org/0000000294368871</orcidid><orcidid>https://orcid.org/0000000229862371</orcidid><orcidid>https://orcid.org/0000000209657864</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | The Astrophysical journal, 2023-02, Vol.944 (2), p.212 |
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| source | IOP Publishing Free Content; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection |
| subjects | Astronomy & Astrophysics ASTRONOMY AND ASTROPHYSICS Astrophysics Bias Big Bang theory Calibration Celestial bodies Cosmic microwave background Cosmology Covariance matrix Curve fitting Dark energy Data analysis Figure of merit Galaxies Hubble diagram Photometry Red shift Simulation Space telescopes Stars & galaxies Supernovae Systematics Type Ia supernovae |
| title | Using Host Galaxy Photometric Redshifts to Improve Cosmological Constraints with Type Ia Supernovae in the LSST Era |
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