The fast transient sky with Gaia
Abstract The ESA Gaia satellite scans the whole sky with a temporal sampling ranging from seconds and hours to months. Each time a source passes within the Gaia field of view, it moves over 10 charge coupled devices (CCDs) in 45 s and a light curve with 4.5 s sampling (the crossing time per CCD) is...
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Veröffentlicht in: | Monthly notices of the Royal Astronomical Society 2018-01, Vol.473 (3), p.3854-3862 |
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creator | Wevers, Thomas Jonker, Peter G. Hodgkin, Simon T. Kostrzewa-Rutkowska, Zuzanna Harrison, Diana L. Rixon, Guy Nelemans, Gijs Roelens, Maroussia Eyer, Laurent van Leeuwen, Floor Yoldas, Abdullah |
description | Abstract
The ESA Gaia satellite scans the whole sky with a temporal sampling ranging from seconds and hours to months. Each time a source passes within the Gaia field of view, it moves over 10 charge coupled devices (CCDs) in 45 s and a light curve with 4.5 s sampling (the crossing time per CCD) is registered. Given that the 4.5 s sampling represents a virtually unexplored parameter space in optical time domain astronomy, this data set potentially provides a unique opportunity to open up the fast transient sky. We present a method to start mining the wealth of information in the per CCD Gaia data. We perform extensive data filtering to eliminate known onboard and data processing artefacts, and present a statistical method to identify sources that show transient brightness variations on ≲2 h time-scales. We illustrate that by using the Gaia photometric CCD measurements, we can detect transient brightness variations down to an amplitude of 0.3 mag on time-scales ranging from 15 s to several hours. We search an area of ∼23.5 deg2 on the sky and find four strong candidate fast transients. Two candidates are tentatively classified as flares on M-dwarf stars, while one is probably a flare on a giant star and one potentially a flare on a solar-type star. These classifications are based on archival data and the time-scales involved. We argue that the method presented here can be added to the existing Gaia Science Alerts infrastructure for the near real-time public dissemination of fast transient events. |
doi_str_mv | 10.1093/mnras/stx2625 |
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The ESA Gaia satellite scans the whole sky with a temporal sampling ranging from seconds and hours to months. Each time a source passes within the Gaia field of view, it moves over 10 charge coupled devices (CCDs) in 45 s and a light curve with 4.5 s sampling (the crossing time per CCD) is registered. Given that the 4.5 s sampling represents a virtually unexplored parameter space in optical time domain astronomy, this data set potentially provides a unique opportunity to open up the fast transient sky. We present a method to start mining the wealth of information in the per CCD Gaia data. We perform extensive data filtering to eliminate known onboard and data processing artefacts, and present a statistical method to identify sources that show transient brightness variations on ≲2 h time-scales. We illustrate that by using the Gaia photometric CCD measurements, we can detect transient brightness variations down to an amplitude of 0.3 mag on time-scales ranging from 15 s to several hours. We search an area of ∼23.5 deg2 on the sky and find four strong candidate fast transients. Two candidates are tentatively classified as flares on M-dwarf stars, while one is probably a flare on a giant star and one potentially a flare on a solar-type star. These classifications are based on archival data and the time-scales involved. We argue that the method presented here can be added to the existing Gaia Science Alerts infrastructure for the near real-time public dissemination of fast transient events.</description><identifier>ISSN: 0035-8711</identifier><identifier>EISSN: 1365-2966</identifier><identifier>DOI: 10.1093/mnras/stx2625</identifier><language>eng</language><publisher>London: Oxford University Press</publisher><subject>Astronomy ; Brightness ; Charge coupled devices ; Data processing ; Field of view ; Filtration ; Light curve ; Onboard data processing ; Photometry ; Red dwarf stars ; Sampling ; Satellites ; Stellar flares</subject><ispartof>Monthly notices of the Royal Astronomical Society, 2018-01, Vol.473 (3), p.3854-3862</ispartof><rights>2017 The Authors Published by Oxford University Press on behalf of the Royal Astronomical Society 2018</rights><rights>2017 The Authors Published by Oxford University Press on behalf of the Royal Astronomical Society</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c337t-c2c0ccd6fc3701af299f9bdafbe51916ded07e4a4f2cefeb72a5241f03278c4a3</citedby><cites>FETCH-LOGICAL-c337t-c2c0ccd6fc3701af299f9bdafbe51916ded07e4a4f2cefeb72a5241f03278c4a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,1598,27901,27902</link.rule.ids><linktorsrc>$$Uhttps://dx.doi.org/10.1093/mnras/stx2625$$EView_record_in_Oxford_University_Press$$FView_record_in_$$GOxford_University_Press</linktorsrc></links><search><creatorcontrib>Wevers, Thomas</creatorcontrib><creatorcontrib>Jonker, Peter G.</creatorcontrib><creatorcontrib>Hodgkin, Simon T.</creatorcontrib><creatorcontrib>Kostrzewa-Rutkowska, Zuzanna</creatorcontrib><creatorcontrib>Harrison, Diana L.</creatorcontrib><creatorcontrib>Rixon, Guy</creatorcontrib><creatorcontrib>Nelemans, Gijs</creatorcontrib><creatorcontrib>Roelens, Maroussia</creatorcontrib><creatorcontrib>Eyer, Laurent</creatorcontrib><creatorcontrib>van Leeuwen, Floor</creatorcontrib><creatorcontrib>Yoldas, Abdullah</creatorcontrib><title>The fast transient sky with Gaia</title><title>Monthly notices of the Royal Astronomical Society</title><description>Abstract
The ESA Gaia satellite scans the whole sky with a temporal sampling ranging from seconds and hours to months. Each time a source passes within the Gaia field of view, it moves over 10 charge coupled devices (CCDs) in 45 s and a light curve with 4.5 s sampling (the crossing time per CCD) is registered. Given that the 4.5 s sampling represents a virtually unexplored parameter space in optical time domain astronomy, this data set potentially provides a unique opportunity to open up the fast transient sky. We present a method to start mining the wealth of information in the per CCD Gaia data. We perform extensive data filtering to eliminate known onboard and data processing artefacts, and present a statistical method to identify sources that show transient brightness variations on ≲2 h time-scales. We illustrate that by using the Gaia photometric CCD measurements, we can detect transient brightness variations down to an amplitude of 0.3 mag on time-scales ranging from 15 s to several hours. We search an area of ∼23.5 deg2 on the sky and find four strong candidate fast transients. Two candidates are tentatively classified as flares on M-dwarf stars, while one is probably a flare on a giant star and one potentially a flare on a solar-type star. These classifications are based on archival data and the time-scales involved. We argue that the method presented here can be added to the existing Gaia Science Alerts infrastructure for the near real-time public dissemination of fast transient events.</description><subject>Astronomy</subject><subject>Brightness</subject><subject>Charge coupled devices</subject><subject>Data processing</subject><subject>Field of view</subject><subject>Filtration</subject><subject>Light curve</subject><subject>Onboard data processing</subject><subject>Photometry</subject><subject>Red dwarf stars</subject><subject>Sampling</subject><subject>Satellites</subject><subject>Stellar flares</subject><issn>0035-8711</issn><issn>1365-2966</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNqF0DFPwzAQhmELgUQojOyWWFhC7-zEjkdUQUGqxFJmy3FsNYUmwXYE_fektDvTLY_uk15CbhEeEBSf77pg4jymHyZYeUYy5KLMmRLinGQAvMwriXhJrmLcAkDBmcgIXW8c9SYmmoLpYuu6ROPHnn63aUOXpjXX5MKbz-huTndG3p-f1ouXfPW2fF08rnLLuUy5ZRasbYS3XAIaz5Tyqm6Mr12JCkXjGpCuMIVn1nlXS2ZKVqAHzmRlC8Nn5O74dwj91-hi0tt-DN00qRkyEIiVVJPKj8qGPsbgvB5CuzNhrxH0IYL-i6BPESZ_f_T9OPxDfwEUI16X</recordid><startdate>20180101</startdate><enddate>20180101</enddate><creator>Wevers, Thomas</creator><creator>Jonker, Peter G.</creator><creator>Hodgkin, Simon T.</creator><creator>Kostrzewa-Rutkowska, Zuzanna</creator><creator>Harrison, Diana L.</creator><creator>Rixon, Guy</creator><creator>Nelemans, Gijs</creator><creator>Roelens, Maroussia</creator><creator>Eyer, Laurent</creator><creator>van Leeuwen, Floor</creator><creator>Yoldas, Abdullah</creator><general>Oxford University Press</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>20180101</creationdate><title>The fast transient sky with Gaia</title><author>Wevers, Thomas ; Jonker, Peter G. ; Hodgkin, Simon T. ; Kostrzewa-Rutkowska, Zuzanna ; Harrison, Diana L. ; Rixon, Guy ; Nelemans, Gijs ; Roelens, Maroussia ; Eyer, Laurent ; van Leeuwen, Floor ; Yoldas, Abdullah</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c337t-c2c0ccd6fc3701af299f9bdafbe51916ded07e4a4f2cefeb72a5241f03278c4a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Astronomy</topic><topic>Brightness</topic><topic>Charge coupled devices</topic><topic>Data processing</topic><topic>Field of view</topic><topic>Filtration</topic><topic>Light curve</topic><topic>Onboard data processing</topic><topic>Photometry</topic><topic>Red dwarf stars</topic><topic>Sampling</topic><topic>Satellites</topic><topic>Stellar flares</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wevers, Thomas</creatorcontrib><creatorcontrib>Jonker, Peter G.</creatorcontrib><creatorcontrib>Hodgkin, Simon T.</creatorcontrib><creatorcontrib>Kostrzewa-Rutkowska, Zuzanna</creatorcontrib><creatorcontrib>Harrison, Diana L.</creatorcontrib><creatorcontrib>Rixon, Guy</creatorcontrib><creatorcontrib>Nelemans, Gijs</creatorcontrib><creatorcontrib>Roelens, Maroussia</creatorcontrib><creatorcontrib>Eyer, Laurent</creatorcontrib><creatorcontrib>van Leeuwen, Floor</creatorcontrib><creatorcontrib>Yoldas, Abdullah</creatorcontrib><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Monthly notices of the Royal Astronomical Society</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Wevers, Thomas</au><au>Jonker, Peter G.</au><au>Hodgkin, Simon T.</au><au>Kostrzewa-Rutkowska, Zuzanna</au><au>Harrison, Diana L.</au><au>Rixon, Guy</au><au>Nelemans, Gijs</au><au>Roelens, Maroussia</au><au>Eyer, Laurent</au><au>van Leeuwen, Floor</au><au>Yoldas, Abdullah</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The fast transient sky with Gaia</atitle><jtitle>Monthly notices of the Royal Astronomical Society</jtitle><date>2018-01-01</date><risdate>2018</risdate><volume>473</volume><issue>3</issue><spage>3854</spage><epage>3862</epage><pages>3854-3862</pages><issn>0035-8711</issn><eissn>1365-2966</eissn><abstract>Abstract
The ESA Gaia satellite scans the whole sky with a temporal sampling ranging from seconds and hours to months. Each time a source passes within the Gaia field of view, it moves over 10 charge coupled devices (CCDs) in 45 s and a light curve with 4.5 s sampling (the crossing time per CCD) is registered. Given that the 4.5 s sampling represents a virtually unexplored parameter space in optical time domain astronomy, this data set potentially provides a unique opportunity to open up the fast transient sky. We present a method to start mining the wealth of information in the per CCD Gaia data. We perform extensive data filtering to eliminate known onboard and data processing artefacts, and present a statistical method to identify sources that show transient brightness variations on ≲2 h time-scales. We illustrate that by using the Gaia photometric CCD measurements, we can detect transient brightness variations down to an amplitude of 0.3 mag on time-scales ranging from 15 s to several hours. We search an area of ∼23.5 deg2 on the sky and find four strong candidate fast transients. Two candidates are tentatively classified as flares on M-dwarf stars, while one is probably a flare on a giant star and one potentially a flare on a solar-type star. These classifications are based on archival data and the time-scales involved. We argue that the method presented here can be added to the existing Gaia Science Alerts infrastructure for the near real-time public dissemination of fast transient events.</abstract><cop>London</cop><pub>Oxford University Press</pub><doi>10.1093/mnras/stx2625</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Astronomy Brightness Charge coupled devices Data processing Field of view Filtration Light curve Onboard data processing Photometry Red dwarf stars Sampling Satellites Stellar flares |
title | The fast transient sky with Gaia |
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