Bayesian galaxy shape measurement for weak lensing surveys – I. Methodology and a fast-fitting algorithm
The principles of measuring the shapes of galaxies by a model-fitting approach are discussed in the context of shape measurement for surveys of weak gravitational lensing. It is argued that such an approach should be optimal, allowing measurement with maximal signal-to-noise ratio, coupled with esti...
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| Veröffentlicht in: | Monthly notices of the Royal Astronomical Society 2007-11, Vol.382 (1), p.315-324 |
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| container_title | Monthly notices of the Royal Astronomical Society |
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| creator | Miller, L. Kitching, T. D. Heymans, C. Heavens, A. F. Van Waerbeke, L. |
| description | The principles of measuring the shapes of galaxies by a model-fitting approach are discussed in the context of shape measurement for surveys of weak gravitational lensing. It is argued that such an approach should be optimal, allowing measurement with maximal signal-to-noise ratio, coupled with estimation of measurement errors. The distinction between likelihood-based and Bayesian methods is discussed. Systematic biases in the Bayesian method may be evaluated as part of the fitting process, and overall such an approach should yield unbiased shear estimation without requiring external calibration from simulations. The principal disadvantage of model fitting for large surveys is the computational time required, but here an algorithm is presented that enables large surveys to be analysed in feasible computation times. The method and algorithm is tested on simulated galaxies from the Shear TEsting Programme (STEP). |
| doi_str_mv | 10.1111/j.1365-2966.2007.12363.x |
| format | Article |
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Journal compilation © 2007 RAS</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5683-fb389e705689aaf8a2558b4c4841f31c3ded404e69c09978e8cd7dcad622d2763</citedby><cites>FETCH-LOGICAL-c5683-fb389e705689aaf8a2558b4c4841f31c3ded404e69c09978e8cd7dcad622d2763</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fj.1365-2966.2007.12363.x$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fj.1365-2966.2007.12363.x$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,780,784,885,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=19439691$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-03646534$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Miller, L.</creatorcontrib><creatorcontrib>Kitching, T. D.</creatorcontrib><creatorcontrib>Heymans, C.</creatorcontrib><creatorcontrib>Heavens, A. F.</creatorcontrib><creatorcontrib>Van Waerbeke, L.</creatorcontrib><title>Bayesian galaxy shape measurement for weak lensing surveys – I. Methodology and a fast-fitting algorithm</title><title>Monthly notices of the Royal Astronomical Society</title><addtitle>Monthly Notices of the Royal Astronomical Society</addtitle><addtitle>Monthly Notices of the Royal Astronomical Society</addtitle><description>The principles of measuring the shapes of galaxies by a model-fitting approach are discussed in the context of shape measurement for surveys of weak gravitational lensing. It is argued that such an approach should be optimal, allowing measurement with maximal signal-to-noise ratio, coupled with estimation of measurement errors. The distinction between likelihood-based and Bayesian methods is discussed. Systematic biases in the Bayesian method may be evaluated as part of the fitting process, and overall such an approach should yield unbiased shear estimation without requiring external calibration from simulations. The principal disadvantage of model fitting for large surveys is the computational time required, but here an algorithm is presented that enables large surveys to be analysed in feasible computation times. The method and algorithm is tested on simulated galaxies from the Shear TEsting Programme (STEP).</description><subject>Algorithms</subject><subject>Astronomy</subject><subject>Astrophysics</subject><subject>Bayesian analysis</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>gravitational lensing</subject><subject>Gravity</subject><subject>Measurement techniques</subject><subject>methods: data analysis</subject><subject>methods: statistical</subject><subject>Sciences of the Universe</subject><subject>Stars & galaxies</subject><subject>techniques: miscellaneous</subject><issn>0035-8711</issn><issn>1365-2966</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><recordid>eNqNkd-K1DAUxosoOK6-QxAUvGjNv6bJjbC7qLMyO4IoLHsTzqbpTLttM5u0u9M738E39Elst8sIomBukpPz-76c8EURIjgh43pbJYSJNKZKiIRinCWEMsGS_aNocWg8jhYYszSWGSFPo2chVBhjzqhYRNUJDDaU0KIN1LAfUNjCzqLGQui9bWzbocJ5dGfhGtW2DWW7QWPn1g4B_fz-A50l6Nx2W5e72m0GBG2OABUQurgou26iod44X3bb5nn0pIA62BcP-1H07cP7r6fLePX549np8So2qZAsLq6YVDbDY6EACgk0TeUVN1xyUjBiWG5zjrkVymClMmmlybPcQC4ozWkm2FH0ZvbdQq13vmzAD9pBqZfHKz3dYSa4SBm_JSP7emZ33t30NnS6KYOxdQ2tdX3QFKdYcZ6O4Ms_wMr1vh3_MTIZE5RQOkJyhox3IXhbHJ4nWE9p6UpPoegpFD2lpe_T0vtR-urBH4KBuvDQmjL81ivOlFDTwO9m7q6s7fDf_vp8_eX-OBqw2cD1u3_I47-NF8-qMnR2f9CBv9YiY1mqlxeX-kJ8upTrE6zX7Bd3wMZz</recordid><startdate>20071121</startdate><enddate>20071121</enddate><creator>Miller, L.</creator><creator>Kitching, T. D.</creator><creator>Heymans, C.</creator><creator>Heavens, A. F.</creator><creator>Van Waerbeke, L.</creator><general>Blackwell Publishing Ltd</general><general>Blackwell Science</general><general>Oxford University Press</general><general>Oxford University Press (OUP): Policy P - Oxford Open Option A</general><scope>BSCLL</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope><scope>7TG</scope><scope>KL.</scope><scope>1XC</scope><scope>VOOES</scope></search><sort><creationdate>20071121</creationdate><title>Bayesian galaxy shape measurement for weak lensing surveys – I. Methodology and a fast-fitting algorithm</title><author>Miller, L. ; Kitching, T. D. ; Heymans, C. ; Heavens, A. 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| subjects | Algorithms Astronomy Astrophysics Bayesian analysis Earth, ocean, space Exact sciences and technology gravitational lensing Gravity Measurement techniques methods: data analysis methods: statistical Sciences of the Universe Stars & galaxies techniques: miscellaneous |
| title | Bayesian galaxy shape measurement for weak lensing surveys – I. Methodology and a fast-fitting algorithm |
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