The impact of human expert visual inspection on the discovery of strong gravitational lenses
We investigate the ability of human 'expert' classifiers to identify strong gravitational lens candidates in Dark Energy Survey like imaging. We recruited a total of 55 people that completed more than 25\(\%\) of the project. During the classification task, we present to the participants 1...
Gespeichert in:
| Veröffentlicht in: | arXiv.org 2023-04 |
|---|---|
| Hauptverfasser: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | |
| container_start_page | |
| container_title | arXiv.org |
| container_volume | |
| creator | Rojas, Karina Collett, Thomas E Ballard, Daniel Magee, Mark R Birrer, Simon Buckley-Geer, Elizabeth Chan, James H H Clément, Benjamin Diego, José M Gentile, Fabrizio González, Jimena Rémy, Joseph Mastache, Jorge Schuldt, Stefan Tortora, Crescenzo Verdugo, Tomás Verma, Aprajita Daylan, Tansu Millon, Martin Jackson, Neal Dye, Simon Melo, Alejandra Mahler, Guillaume Ogando, Ricardo L C Courbin, Frédéric Fritz, Alexander Herle, Aniruddh Acevedo Barroso, Javier A Cañameras, Raoul Cornen, Claude Dhanasingham, Birendra Glazebrook, Karl Martinez, Michael N Ryczanowski, Dan Savary, Elodie Góis-Silva, Filipe Ureña-López, L Arturo Wiesner, Matthew P Wilde, Joshua Gabriel Valim Calçada Cabanac, Rémi Pan, Yue Sierra, Isaac Despali, Giulia Cavalcante-Gomes, Micaele V Macmillan, Christine Maresca, Jacob Grudskaia, Aleksandra O'Donnell, Jackson H Paic, Eric Niemiec, Anna Lucia F de la Bella Bromley, Jane Williams, Devon M More, Anupreeta Levine, Benjamin C |
| description | We investigate the ability of human 'expert' classifiers to identify strong gravitational lens candidates in Dark Energy Survey like imaging. We recruited a total of 55 people that completed more than 25\(\%\) of the project. During the classification task, we present to the participants 1489 images. The sample contains a variety of data including lens simulations, real lenses, non-lens examples, and unlabeled data. We find that experts are extremely good at finding bright, well-resolved Einstein rings, whilst arcs with \(g\)-band signal-to-noise less than \(\sim\)25 or Einstein radii less than \(\sim\)1.2 times the seeing are rarely recovered. Very few non-lenses are scored highly. There is substantial variation in the performance of individual classifiers, but they do not appear to depend on the classifier's experience, confidence or academic position. These variations can be mitigated with a team of 6 or more independent classifiers. Our results give confidence that humans are a reliable pruning step for lens candidates, providing pure and quantifiably complete samples for follow-up studies. |
| doi_str_mv | 10.48550/arxiv.2301.03670 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_arxiv</sourceid><recordid>TN_cdi_arxiv_primary_2301_03670</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2763960309</sourcerecordid><originalsourceid>FETCH-LOGICAL-a529-3be6a3c26321b167b28fa3eea8d7e94d4ea3e70335b9f909820cd3e106f266c03</originalsourceid><addsrcrecordid>eNotkM1qwzAQhEWh0JDmAXqqoGen611bto4l9A8CveRYMLK9ThQS25Vkk7x9nbSwsCx8M8yOEA8xLJM8TeHZuJMdl0gQL4FUBjdihkRxlCeId2Lh_R4AUGWYpjQT35sdS3vsTRVk18jdcDSt5FPPLsjR-sEcpG19z1WwXSunCRNfW191I7vzReKD69qt3Doz2mAu2KQ5cOvZ34vbxhw8L_73XGzeXjerj2j99f65ellHJkUdUcnKUIWKMC5jlZWYN4aYTV5nrJM64enKgCgtdaNB5whVTRyDalCpCmguHv9sr68XvbNH487FpYLiWsFEPP0Rvet-Bvah2HeDm4L6AjNFWgGBpl8DOV-t</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2763960309</pqid></control><display><type>article</type><title>The impact of human expert visual inspection on the discovery of strong gravitational lenses</title><source>arXiv.org</source><source>Free E- Journals</source><creator>Rojas, Karina ; Collett, Thomas E ; Ballard, Daniel ; Magee, Mark R ; Birrer, Simon ; Buckley-Geer, Elizabeth ; Chan, James H H ; Clément, Benjamin ; Diego, José M ; Gentile, Fabrizio ; González, Jimena ; Rémy, Joseph ; Mastache, Jorge ; Schuldt, Stefan ; Tortora, Crescenzo ; Verdugo, Tomás ; Verma, Aprajita ; Daylan, Tansu ; Millon, Martin ; Jackson, Neal ; Dye, Simon ; Melo, Alejandra ; Mahler, Guillaume ; Ogando, Ricardo L C ; Courbin, Frédéric ; Fritz, Alexander ; Herle, Aniruddh ; Acevedo Barroso, Javier A ; Cañameras, Raoul ; Cornen, Claude ; Dhanasingham, Birendra ; Glazebrook, Karl ; Martinez, Michael N ; Ryczanowski, Dan ; Savary, Elodie ; Góis-Silva, Filipe ; Ureña-López, L Arturo ; Wiesner, Matthew P ; Wilde, Joshua ; Gabriel Valim Calçada ; Cabanac, Rémi ; Pan, Yue ; Sierra, Isaac ; Despali, Giulia ; Cavalcante-Gomes, Micaele V ; Macmillan, Christine ; Maresca, Jacob ; Grudskaia, Aleksandra ; O'Donnell, Jackson H ; Paic, Eric ; Niemiec, Anna ; Lucia F de la Bella ; Bromley, Jane ; Williams, Devon M ; More, Anupreeta ; Levine, Benjamin C</creator><creatorcontrib>Rojas, Karina ; Collett, Thomas E ; Ballard, Daniel ; Magee, Mark R ; Birrer, Simon ; Buckley-Geer, Elizabeth ; Chan, James H H ; Clément, Benjamin ; Diego, José M ; Gentile, Fabrizio ; González, Jimena ; Rémy, Joseph ; Mastache, Jorge ; Schuldt, Stefan ; Tortora, Crescenzo ; Verdugo, Tomás ; Verma, Aprajita ; Daylan, Tansu ; Millon, Martin ; Jackson, Neal ; Dye, Simon ; Melo, Alejandra ; Mahler, Guillaume ; Ogando, Ricardo L C ; Courbin, Frédéric ; Fritz, Alexander ; Herle, Aniruddh ; Acevedo Barroso, Javier A ; Cañameras, Raoul ; Cornen, Claude ; Dhanasingham, Birendra ; Glazebrook, Karl ; Martinez, Michael N ; Ryczanowski, Dan ; Savary, Elodie ; Góis-Silva, Filipe ; Ureña-López, L Arturo ; Wiesner, Matthew P ; Wilde, Joshua ; Gabriel Valim Calçada ; Cabanac, Rémi ; Pan, Yue ; Sierra, Isaac ; Despali, Giulia ; Cavalcante-Gomes, Micaele V ; Macmillan, Christine ; Maresca, Jacob ; Grudskaia, Aleksandra ; O'Donnell, Jackson H ; Paic, Eric ; Niemiec, Anna ; Lucia F de la Bella ; Bromley, Jane ; Williams, Devon M ; More, Anupreeta ; Levine, Benjamin C</creatorcontrib><description>We investigate the ability of human 'expert' classifiers to identify strong gravitational lens candidates in Dark Energy Survey like imaging. We recruited a total of 55 people that completed more than 25\(\%\) of the project. During the classification task, we present to the participants 1489 images. The sample contains a variety of data including lens simulations, real lenses, non-lens examples, and unlabeled data. We find that experts are extremely good at finding bright, well-resolved Einstein rings, whilst arcs with \(g\)-band signal-to-noise less than \(\sim\)25 or Einstein radii less than \(\sim\)1.2 times the seeing are rarely recovered. Very few non-lenses are scored highly. There is substantial variation in the performance of individual classifiers, but they do not appear to depend on the classifier's experience, confidence or academic position. These variations can be mitigated with a team of 6 or more independent classifiers. Our results give confidence that humans are a reliable pruning step for lens candidates, providing pure and quantifiably complete samples for follow-up studies.</description><identifier>EISSN: 2331-8422</identifier><identifier>DOI: 10.48550/arxiv.2301.03670</identifier><language>eng</language><publisher>Ithaca: Cornell University Library, arXiv.org</publisher><subject>Classifiers ; Dark energy ; Gravitational lenses ; Human performance ; Inspection ; Physics - Astrophysics of Galaxies ; Physics - Cosmology and Nongalactic Astrophysics ; Sky surveys (astronomy)</subject><ispartof>arXiv.org, 2023-04</ispartof><rights>2023. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,776,780,881,27902</link.rule.ids><backlink>$$Uhttps://doi.org/10.1093/mnras/stad1680$$DView published paper (Access to full text may be restricted)$$Hfree_for_read</backlink><backlink>$$Uhttps://doi.org/10.48550/arXiv.2301.03670$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Rojas, Karina</creatorcontrib><creatorcontrib>Collett, Thomas E</creatorcontrib><creatorcontrib>Ballard, Daniel</creatorcontrib><creatorcontrib>Magee, Mark R</creatorcontrib><creatorcontrib>Birrer, Simon</creatorcontrib><creatorcontrib>Buckley-Geer, Elizabeth</creatorcontrib><creatorcontrib>Chan, James H H</creatorcontrib><creatorcontrib>Clément, Benjamin</creatorcontrib><creatorcontrib>Diego, José M</creatorcontrib><creatorcontrib>Gentile, Fabrizio</creatorcontrib><creatorcontrib>González, Jimena</creatorcontrib><creatorcontrib>Rémy, Joseph</creatorcontrib><creatorcontrib>Mastache, Jorge</creatorcontrib><creatorcontrib>Schuldt, Stefan</creatorcontrib><creatorcontrib>Tortora, Crescenzo</creatorcontrib><creatorcontrib>Verdugo, Tomás</creatorcontrib><creatorcontrib>Verma, Aprajita</creatorcontrib><creatorcontrib>Daylan, Tansu</creatorcontrib><creatorcontrib>Millon, Martin</creatorcontrib><creatorcontrib>Jackson, Neal</creatorcontrib><creatorcontrib>Dye, Simon</creatorcontrib><creatorcontrib>Melo, Alejandra</creatorcontrib><creatorcontrib>Mahler, Guillaume</creatorcontrib><creatorcontrib>Ogando, Ricardo L C</creatorcontrib><creatorcontrib>Courbin, Frédéric</creatorcontrib><creatorcontrib>Fritz, Alexander</creatorcontrib><creatorcontrib>Herle, Aniruddh</creatorcontrib><creatorcontrib>Acevedo Barroso, Javier A</creatorcontrib><creatorcontrib>Cañameras, Raoul</creatorcontrib><creatorcontrib>Cornen, Claude</creatorcontrib><creatorcontrib>Dhanasingham, Birendra</creatorcontrib><creatorcontrib>Glazebrook, Karl</creatorcontrib><creatorcontrib>Martinez, Michael N</creatorcontrib><creatorcontrib>Ryczanowski, Dan</creatorcontrib><creatorcontrib>Savary, Elodie</creatorcontrib><creatorcontrib>Góis-Silva, Filipe</creatorcontrib><creatorcontrib>Ureña-López, L Arturo</creatorcontrib><creatorcontrib>Wiesner, Matthew P</creatorcontrib><creatorcontrib>Wilde, Joshua</creatorcontrib><creatorcontrib>Gabriel Valim Calçada</creatorcontrib><creatorcontrib>Cabanac, Rémi</creatorcontrib><creatorcontrib>Pan, Yue</creatorcontrib><creatorcontrib>Sierra, Isaac</creatorcontrib><creatorcontrib>Despali, Giulia</creatorcontrib><creatorcontrib>Cavalcante-Gomes, Micaele V</creatorcontrib><creatorcontrib>Macmillan, Christine</creatorcontrib><creatorcontrib>Maresca, Jacob</creatorcontrib><creatorcontrib>Grudskaia, Aleksandra</creatorcontrib><creatorcontrib>O'Donnell, Jackson H</creatorcontrib><creatorcontrib>Paic, Eric</creatorcontrib><creatorcontrib>Niemiec, Anna</creatorcontrib><creatorcontrib>Lucia F de la Bella</creatorcontrib><creatorcontrib>Bromley, Jane</creatorcontrib><creatorcontrib>Williams, Devon M</creatorcontrib><creatorcontrib>More, Anupreeta</creatorcontrib><creatorcontrib>Levine, Benjamin C</creatorcontrib><title>The impact of human expert visual inspection on the discovery of strong gravitational lenses</title><title>arXiv.org</title><description>We investigate the ability of human 'expert' classifiers to identify strong gravitational lens candidates in Dark Energy Survey like imaging. We recruited a total of 55 people that completed more than 25\(\%\) of the project. During the classification task, we present to the participants 1489 images. The sample contains a variety of data including lens simulations, real lenses, non-lens examples, and unlabeled data. We find that experts are extremely good at finding bright, well-resolved Einstein rings, whilst arcs with \(g\)-band signal-to-noise less than \(\sim\)25 or Einstein radii less than \(\sim\)1.2 times the seeing are rarely recovered. Very few non-lenses are scored highly. There is substantial variation in the performance of individual classifiers, but they do not appear to depend on the classifier's experience, confidence or academic position. These variations can be mitigated with a team of 6 or more independent classifiers. Our results give confidence that humans are a reliable pruning step for lens candidates, providing pure and quantifiably complete samples for follow-up studies.</description><subject>Classifiers</subject><subject>Dark energy</subject><subject>Gravitational lenses</subject><subject>Human performance</subject><subject>Inspection</subject><subject>Physics - Astrophysics of Galaxies</subject><subject>Physics - Cosmology and Nongalactic Astrophysics</subject><subject>Sky surveys (astronomy)</subject><issn>2331-8422</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><sourceid>GOX</sourceid><recordid>eNotkM1qwzAQhEWh0JDmAXqqoGen611bto4l9A8CveRYMLK9ThQS25Vkk7x9nbSwsCx8M8yOEA8xLJM8TeHZuJMdl0gQL4FUBjdihkRxlCeId2Lh_R4AUGWYpjQT35sdS3vsTRVk18jdcDSt5FPPLsjR-sEcpG19z1WwXSunCRNfW191I7vzReKD69qt3Doz2mAu2KQ5cOvZ34vbxhw8L_73XGzeXjerj2j99f65ellHJkUdUcnKUIWKMC5jlZWYN4aYTV5nrJM64enKgCgtdaNB5whVTRyDalCpCmguHv9sr68XvbNH487FpYLiWsFEPP0Rvet-Bvah2HeDm4L6AjNFWgGBpl8DOV-t</recordid><startdate>20230425</startdate><enddate>20230425</enddate><creator>Rojas, Karina</creator><creator>Collett, Thomas E</creator><creator>Ballard, Daniel</creator><creator>Magee, Mark R</creator><creator>Birrer, Simon</creator><creator>Buckley-Geer, Elizabeth</creator><creator>Chan, James H H</creator><creator>Clément, Benjamin</creator><creator>Diego, José M</creator><creator>Gentile, Fabrizio</creator><creator>González, Jimena</creator><creator>Rémy, Joseph</creator><creator>Mastache, Jorge</creator><creator>Schuldt, Stefan</creator><creator>Tortora, Crescenzo</creator><creator>Verdugo, Tomás</creator><creator>Verma, Aprajita</creator><creator>Daylan, Tansu</creator><creator>Millon, Martin</creator><creator>Jackson, Neal</creator><creator>Dye, Simon</creator><creator>Melo, Alejandra</creator><creator>Mahler, Guillaume</creator><creator>Ogando, Ricardo L C</creator><creator>Courbin, Frédéric</creator><creator>Fritz, Alexander</creator><creator>Herle, Aniruddh</creator><creator>Acevedo Barroso, Javier A</creator><creator>Cañameras, Raoul</creator><creator>Cornen, Claude</creator><creator>Dhanasingham, Birendra</creator><creator>Glazebrook, Karl</creator><creator>Martinez, Michael N</creator><creator>Ryczanowski, Dan</creator><creator>Savary, Elodie</creator><creator>Góis-Silva, Filipe</creator><creator>Ureña-López, L Arturo</creator><creator>Wiesner, Matthew P</creator><creator>Wilde, Joshua</creator><creator>Gabriel Valim Calçada</creator><creator>Cabanac, Rémi</creator><creator>Pan, Yue</creator><creator>Sierra, Isaac</creator><creator>Despali, Giulia</creator><creator>Cavalcante-Gomes, Micaele V</creator><creator>Macmillan, Christine</creator><creator>Maresca, Jacob</creator><creator>Grudskaia, Aleksandra</creator><creator>O'Donnell, Jackson H</creator><creator>Paic, Eric</creator><creator>Niemiec, Anna</creator><creator>Lucia F de la Bella</creator><creator>Bromley, Jane</creator><creator>Williams, Devon M</creator><creator>More, Anupreeta</creator><creator>Levine, Benjamin C</creator><general>Cornell University Library, arXiv.org</general><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PIMPY</scope><scope>PKEHL</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>GOX</scope></search><sort><creationdate>20230425</creationdate><title>The impact of human expert visual inspection on the discovery of strong gravitational lenses</title><author>Rojas, Karina ; Collett, Thomas E ; Ballard, Daniel ; Magee, Mark R ; Birrer, Simon ; Buckley-Geer, Elizabeth ; Chan, James H H ; Clément, Benjamin ; Diego, José M ; Gentile, Fabrizio ; González, Jimena ; Rémy, Joseph ; Mastache, Jorge ; Schuldt, Stefan ; Tortora, Crescenzo ; Verdugo, Tomás ; Verma, Aprajita ; Daylan, Tansu ; Millon, Martin ; Jackson, Neal ; Dye, Simon ; Melo, Alejandra ; Mahler, Guillaume ; Ogando, Ricardo L C ; Courbin, Frédéric ; Fritz, Alexander ; Herle, Aniruddh ; Acevedo Barroso, Javier A ; Cañameras, Raoul ; Cornen, Claude ; Dhanasingham, Birendra ; Glazebrook, Karl ; Martinez, Michael N ; Ryczanowski, Dan ; Savary, Elodie ; Góis-Silva, Filipe ; Ureña-López, L Arturo ; Wiesner, Matthew P ; Wilde, Joshua ; Gabriel Valim Calçada ; Cabanac, Rémi ; Pan, Yue ; Sierra, Isaac ; Despali, Giulia ; Cavalcante-Gomes, Micaele V ; Macmillan, Christine ; Maresca, Jacob ; Grudskaia, Aleksandra ; O'Donnell, Jackson H ; Paic, Eric ; Niemiec, Anna ; Lucia F de la Bella ; Bromley, Jane ; Williams, Devon M ; More, Anupreeta ; Levine, Benjamin C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a529-3be6a3c26321b167b28fa3eea8d7e94d4ea3e70335b9f909820cd3e106f266c03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Classifiers</topic><topic>Dark energy</topic><topic>Gravitational lenses</topic><topic>Human performance</topic><topic>Inspection</topic><topic>Physics - Astrophysics of Galaxies</topic><topic>Physics - Cosmology and Nongalactic Astrophysics</topic><topic>Sky surveys (astronomy)</topic><toplevel>online_resources</toplevel><creatorcontrib>Rojas, Karina</creatorcontrib><creatorcontrib>Collett, Thomas E</creatorcontrib><creatorcontrib>Ballard, Daniel</creatorcontrib><creatorcontrib>Magee, Mark R</creatorcontrib><creatorcontrib>Birrer, Simon</creatorcontrib><creatorcontrib>Buckley-Geer, Elizabeth</creatorcontrib><creatorcontrib>Chan, James H H</creatorcontrib><creatorcontrib>Clément, Benjamin</creatorcontrib><creatorcontrib>Diego, José M</creatorcontrib><creatorcontrib>Gentile, Fabrizio</creatorcontrib><creatorcontrib>González, Jimena</creatorcontrib><creatorcontrib>Rémy, Joseph</creatorcontrib><creatorcontrib>Mastache, Jorge</creatorcontrib><creatorcontrib>Schuldt, Stefan</creatorcontrib><creatorcontrib>Tortora, Crescenzo</creatorcontrib><creatorcontrib>Verdugo, Tomás</creatorcontrib><creatorcontrib>Verma, Aprajita</creatorcontrib><creatorcontrib>Daylan, Tansu</creatorcontrib><creatorcontrib>Millon, Martin</creatorcontrib><creatorcontrib>Jackson, Neal</creatorcontrib><creatorcontrib>Dye, Simon</creatorcontrib><creatorcontrib>Melo, Alejandra</creatorcontrib><creatorcontrib>Mahler, Guillaume</creatorcontrib><creatorcontrib>Ogando, Ricardo L C</creatorcontrib><creatorcontrib>Courbin, Frédéric</creatorcontrib><creatorcontrib>Fritz, Alexander</creatorcontrib><creatorcontrib>Herle, Aniruddh</creatorcontrib><creatorcontrib>Acevedo Barroso, Javier A</creatorcontrib><creatorcontrib>Cañameras, Raoul</creatorcontrib><creatorcontrib>Cornen, Claude</creatorcontrib><creatorcontrib>Dhanasingham, Birendra</creatorcontrib><creatorcontrib>Glazebrook, Karl</creatorcontrib><creatorcontrib>Martinez, Michael N</creatorcontrib><creatorcontrib>Ryczanowski, Dan</creatorcontrib><creatorcontrib>Savary, Elodie</creatorcontrib><creatorcontrib>Góis-Silva, Filipe</creatorcontrib><creatorcontrib>Ureña-López, L Arturo</creatorcontrib><creatorcontrib>Wiesner, Matthew P</creatorcontrib><creatorcontrib>Wilde, Joshua</creatorcontrib><creatorcontrib>Gabriel Valim Calçada</creatorcontrib><creatorcontrib>Cabanac, Rémi</creatorcontrib><creatorcontrib>Pan, Yue</creatorcontrib><creatorcontrib>Sierra, Isaac</creatorcontrib><creatorcontrib>Despali, Giulia</creatorcontrib><creatorcontrib>Cavalcante-Gomes, Micaele V</creatorcontrib><creatorcontrib>Macmillan, Christine</creatorcontrib><creatorcontrib>Maresca, Jacob</creatorcontrib><creatorcontrib>Grudskaia, Aleksandra</creatorcontrib><creatorcontrib>O'Donnell, Jackson H</creatorcontrib><creatorcontrib>Paic, Eric</creatorcontrib><creatorcontrib>Niemiec, Anna</creatorcontrib><creatorcontrib>Lucia F de la Bella</creatorcontrib><creatorcontrib>Bromley, Jane</creatorcontrib><creatorcontrib>Williams, Devon M</creatorcontrib><creatorcontrib>More, Anupreeta</creatorcontrib><creatorcontrib>Levine, Benjamin C</creatorcontrib><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Applied & Life Sciences</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>arXiv.org</collection><jtitle>arXiv.org</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rojas, Karina</au><au>Collett, Thomas E</au><au>Ballard, Daniel</au><au>Magee, Mark R</au><au>Birrer, Simon</au><au>Buckley-Geer, Elizabeth</au><au>Chan, James H H</au><au>Clément, Benjamin</au><au>Diego, José M</au><au>Gentile, Fabrizio</au><au>González, Jimena</au><au>Rémy, Joseph</au><au>Mastache, Jorge</au><au>Schuldt, Stefan</au><au>Tortora, Crescenzo</au><au>Verdugo, Tomás</au><au>Verma, Aprajita</au><au>Daylan, Tansu</au><au>Millon, Martin</au><au>Jackson, Neal</au><au>Dye, Simon</au><au>Melo, Alejandra</au><au>Mahler, Guillaume</au><au>Ogando, Ricardo L C</au><au>Courbin, Frédéric</au><au>Fritz, Alexander</au><au>Herle, Aniruddh</au><au>Acevedo Barroso, Javier A</au><au>Cañameras, Raoul</au><au>Cornen, Claude</au><au>Dhanasingham, Birendra</au><au>Glazebrook, Karl</au><au>Martinez, Michael N</au><au>Ryczanowski, Dan</au><au>Savary, Elodie</au><au>Góis-Silva, Filipe</au><au>Ureña-López, L Arturo</au><au>Wiesner, Matthew P</au><au>Wilde, Joshua</au><au>Gabriel Valim Calçada</au><au>Cabanac, Rémi</au><au>Pan, Yue</au><au>Sierra, Isaac</au><au>Despali, Giulia</au><au>Cavalcante-Gomes, Micaele V</au><au>Macmillan, Christine</au><au>Maresca, Jacob</au><au>Grudskaia, Aleksandra</au><au>O'Donnell, Jackson H</au><au>Paic, Eric</au><au>Niemiec, Anna</au><au>Lucia F de la Bella</au><au>Bromley, Jane</au><au>Williams, Devon M</au><au>More, Anupreeta</au><au>Levine, Benjamin C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The impact of human expert visual inspection on the discovery of strong gravitational lenses</atitle><jtitle>arXiv.org</jtitle><date>2023-04-25</date><risdate>2023</risdate><eissn>2331-8422</eissn><abstract>We investigate the ability of human 'expert' classifiers to identify strong gravitational lens candidates in Dark Energy Survey like imaging. We recruited a total of 55 people that completed more than 25\(\%\) of the project. During the classification task, we present to the participants 1489 images. The sample contains a variety of data including lens simulations, real lenses, non-lens examples, and unlabeled data. We find that experts are extremely good at finding bright, well-resolved Einstein rings, whilst arcs with \(g\)-band signal-to-noise less than \(\sim\)25 or Einstein radii less than \(\sim\)1.2 times the seeing are rarely recovered. Very few non-lenses are scored highly. There is substantial variation in the performance of individual classifiers, but they do not appear to depend on the classifier's experience, confidence or academic position. These variations can be mitigated with a team of 6 or more independent classifiers. Our results give confidence that humans are a reliable pruning step for lens candidates, providing pure and quantifiably complete samples for follow-up studies.</abstract><cop>Ithaca</cop><pub>Cornell University Library, arXiv.org</pub><doi>10.48550/arxiv.2301.03670</doi><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | EISSN: 2331-8422 |
| ispartof | arXiv.org, 2023-04 |
| issn | 2331-8422 |
| language | eng |
| recordid | cdi_arxiv_primary_2301_03670 |
| source | arXiv.org; Free E- Journals |
| subjects | Classifiers Dark energy Gravitational lenses Human performance Inspection Physics - Astrophysics of Galaxies Physics - Cosmology and Nongalactic Astrophysics Sky surveys (astronomy) |
| title | The impact of human expert visual inspection on the discovery of strong gravitational lenses |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-21T17%3A48%3A59IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_arxiv&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20impact%20of%20human%20expert%20visual%20inspection%20on%20the%20discovery%20of%20strong%20gravitational%20lenses&rft.jtitle=arXiv.org&rft.au=Rojas,%20Karina&rft.date=2023-04-25&rft.eissn=2331-8422&rft_id=info:doi/10.48550/arxiv.2301.03670&rft_dat=%3Cproquest_arxiv%3E2763960309%3C/proquest_arxiv%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2763960309&rft_id=info:pmid/&rfr_iscdi=true |