A symbolic approach for the identification of radiative properties
A new Symbolic Monte Carlo (SMC) based on null-collision algorithms allows (1) overcoming the usually required knowledge of the optical thickness in SMC and (2) expressing radiative quantities as simple polynomials of the absorption and scattering coefficients. The proposed method can be applied to...
Gespeichert in:
| Veröffentlicht in: | Journal of quantitative spectroscopy & radiative transfer 2017-07, Vol.196, p.130-141 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 141 |
|---|---|
| container_issue | |
| container_start_page | 130 |
| container_title | Journal of quantitative spectroscopy & radiative transfer |
| container_volume | 196 |
| creator | Galtier, M. Roger, M. André, F. Delmas, A. |
| description | A new Symbolic Monte Carlo (SMC) based on null-collision algorithms allows (1) overcoming the usually required knowledge of the optical thickness in SMC and (2) expressing radiative quantities as simple polynomials of the absorption and scattering coefficients. The proposed method can be applied to complex systems such as heterogeneous absorbing and scattering media in complex geometry. It opens new outlooks for the analysis and the identification of radiative properties in a wide range of radiative transfer applications in participating media.
•A new symbolic Monte Carlo (SMC) method is proposed for radiative transfer.•Quantities are expressed as polynomials of absorption and scattering coefficients.•It opens new outlooks for radiative properties identification.•It can be applied to complex geometries and heterogeneous participating media. |
| doi_str_mv | 10.1016/j.jqsrt.2017.03.026 |
| format | Article |
| fullrecord | <record><control><sourceid>hal_cross</sourceid><recordid>TN_cdi_hal_primary_oai_HAL_hal_01871396v1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0022407316307877</els_id><sourcerecordid>oai_HAL_hal_01871396v1</sourcerecordid><originalsourceid>FETCH-LOGICAL-c382t-b90ef289d9dd40b49f372ac1053e4efc9ee7d65c82b2edd32bda084c428dc56b3</originalsourceid><addsrcrecordid>eNp9kE1LAzEQhoMoWKu_wEuuHnadJPt58FCLX1DwoueQTSY0S9usSSj035ta8ehpmOF9Bt6HkFsGJQPW3I_l-BVDKjmwtgRRAm_OyIx1bV8wUfNzMgPgvKigFZfkKsYRAIRgzYw8Lmg8bAe_cZqqaQpe6TW1PtC0RuoM7pKzTqvk_I56S4MyLi97pDk6YUgO4zW5sGoT8eZ3zsnn89PH8rVYvb-8LRerQouOp2LoAS3vetMbU8FQ9Va0XGkGtcAKre4RW9PUuuMDR2MEH4yCrtIV74yum0HMyd3p71pt5BTcVoWD9MrJ18VKHm-QCzPRN3uWs-KU1cHHGND-AQzkUZkc5Y8yeVQmQcisLFMPJwpzjb3DIKN2uNNoXECdpPHuX_4by7p2rw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>A symbolic approach for the identification of radiative properties</title><source>Access via ScienceDirect (Elsevier)</source><creator>Galtier, M. ; Roger, M. ; André, F. ; Delmas, A.</creator><creatorcontrib>Galtier, M. ; Roger, M. ; André, F. ; Delmas, A.</creatorcontrib><description>A new Symbolic Monte Carlo (SMC) based on null-collision algorithms allows (1) overcoming the usually required knowledge of the optical thickness in SMC and (2) expressing radiative quantities as simple polynomials of the absorption and scattering coefficients. The proposed method can be applied to complex systems such as heterogeneous absorbing and scattering media in complex geometry. It opens new outlooks for the analysis and the identification of radiative properties in a wide range of radiative transfer applications in participating media.
•A new symbolic Monte Carlo (SMC) method is proposed for radiative transfer.•Quantities are expressed as polynomials of absorption and scattering coefficients.•It opens new outlooks for radiative properties identification.•It can be applied to complex geometries and heterogeneous participating media.</description><identifier>ISSN: 0022-4073</identifier><identifier>EISSN: 1879-1352</identifier><identifier>DOI: 10.1016/j.jqsrt.2017.03.026</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Engineering Sciences ; Identification ; Mechanics ; Null collisions ; Polynomials ; Radiative properties ; Symbolic Monte Carlo (SMC) ; Thermics</subject><ispartof>Journal of quantitative spectroscopy & radiative transfer, 2017-07, Vol.196, p.130-141</ispartof><rights>2017 Elsevier Ltd</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-c382t-b90ef289d9dd40b49f372ac1053e4efc9ee7d65c82b2edd32bda084c428dc56b3</citedby><cites>FETCH-LOGICAL-c382t-b90ef289d9dd40b49f372ac1053e4efc9ee7d65c82b2edd32bda084c428dc56b3</cites><orcidid>0000-0001-6023-0914 ; 0000-0002-2587-7787 ; 0000-0001-8713-2708</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jqsrt.2017.03.026$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,315,781,785,886,3551,27929,27930,46000</link.rule.ids><backlink>$$Uhttps://hal.science/hal-01871396$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Galtier, M.</creatorcontrib><creatorcontrib>Roger, M.</creatorcontrib><creatorcontrib>André, F.</creatorcontrib><creatorcontrib>Delmas, A.</creatorcontrib><title>A symbolic approach for the identification of radiative properties</title><title>Journal of quantitative spectroscopy & radiative transfer</title><description>A new Symbolic Monte Carlo (SMC) based on null-collision algorithms allows (1) overcoming the usually required knowledge of the optical thickness in SMC and (2) expressing radiative quantities as simple polynomials of the absorption and scattering coefficients. The proposed method can be applied to complex systems such as heterogeneous absorbing and scattering media in complex geometry. It opens new outlooks for the analysis and the identification of radiative properties in a wide range of radiative transfer applications in participating media.
•A new symbolic Monte Carlo (SMC) method is proposed for radiative transfer.•Quantities are expressed as polynomials of absorption and scattering coefficients.•It opens new outlooks for radiative properties identification.•It can be applied to complex geometries and heterogeneous participating media.</description><subject>Engineering Sciences</subject><subject>Identification</subject><subject>Mechanics</subject><subject>Null collisions</subject><subject>Polynomials</subject><subject>Radiative properties</subject><subject>Symbolic Monte Carlo (SMC)</subject><subject>Thermics</subject><issn>0022-4073</issn><issn>1879-1352</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp9kE1LAzEQhoMoWKu_wEuuHnadJPt58FCLX1DwoueQTSY0S9usSSj035ta8ehpmOF9Bt6HkFsGJQPW3I_l-BVDKjmwtgRRAm_OyIx1bV8wUfNzMgPgvKigFZfkKsYRAIRgzYw8Lmg8bAe_cZqqaQpe6TW1PtC0RuoM7pKzTqvk_I56S4MyLi97pDk6YUgO4zW5sGoT8eZ3zsnn89PH8rVYvb-8LRerQouOp2LoAS3vetMbU8FQ9Va0XGkGtcAKre4RW9PUuuMDR2MEH4yCrtIV74yum0HMyd3p71pt5BTcVoWD9MrJ18VKHm-QCzPRN3uWs-KU1cHHGND-AQzkUZkc5Y8yeVQmQcisLFMPJwpzjb3DIKN2uNNoXECdpPHuX_4by7p2rw</recordid><startdate>20170701</startdate><enddate>20170701</enddate><creator>Galtier, M.</creator><creator>Roger, M.</creator><creator>André, F.</creator><creator>Delmas, A.</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>AAYXX</scope><scope>CITATION</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0001-6023-0914</orcidid><orcidid>https://orcid.org/0000-0002-2587-7787</orcidid><orcidid>https://orcid.org/0000-0001-8713-2708</orcidid></search><sort><creationdate>20170701</creationdate><title>A symbolic approach for the identification of radiative properties</title><author>Galtier, M. ; Roger, M. ; André, F. ; Delmas, A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c382t-b90ef289d9dd40b49f372ac1053e4efc9ee7d65c82b2edd32bda084c428dc56b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Engineering Sciences</topic><topic>Identification</topic><topic>Mechanics</topic><topic>Null collisions</topic><topic>Polynomials</topic><topic>Radiative properties</topic><topic>Symbolic Monte Carlo (SMC)</topic><topic>Thermics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Galtier, M.</creatorcontrib><creatorcontrib>Roger, M.</creatorcontrib><creatorcontrib>André, F.</creatorcontrib><creatorcontrib>Delmas, A.</creatorcontrib><collection>CrossRef</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Journal of quantitative spectroscopy & radiative transfer</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Galtier, M.</au><au>Roger, M.</au><au>André, F.</au><au>Delmas, A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A symbolic approach for the identification of radiative properties</atitle><jtitle>Journal of quantitative spectroscopy & radiative transfer</jtitle><date>2017-07-01</date><risdate>2017</risdate><volume>196</volume><spage>130</spage><epage>141</epage><pages>130-141</pages><issn>0022-4073</issn><eissn>1879-1352</eissn><abstract>A new Symbolic Monte Carlo (SMC) based on null-collision algorithms allows (1) overcoming the usually required knowledge of the optical thickness in SMC and (2) expressing radiative quantities as simple polynomials of the absorption and scattering coefficients. The proposed method can be applied to complex systems such as heterogeneous absorbing and scattering media in complex geometry. It opens new outlooks for the analysis and the identification of radiative properties in a wide range of radiative transfer applications in participating media.
•A new symbolic Monte Carlo (SMC) method is proposed for radiative transfer.•Quantities are expressed as polynomials of absorption and scattering coefficients.•It opens new outlooks for radiative properties identification.•It can be applied to complex geometries and heterogeneous participating media.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.jqsrt.2017.03.026</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0001-6023-0914</orcidid><orcidid>https://orcid.org/0000-0002-2587-7787</orcidid><orcidid>https://orcid.org/0000-0001-8713-2708</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0022-4073 |
| ispartof | Journal of quantitative spectroscopy & radiative transfer, 2017-07, Vol.196, p.130-141 |
| issn | 0022-4073 1879-1352 |
| language | eng |
| recordid | cdi_hal_primary_oai_HAL_hal_01871396v1 |
| source | Access via ScienceDirect (Elsevier) |
| subjects | Engineering Sciences Identification Mechanics Null collisions Polynomials Radiative properties Symbolic Monte Carlo (SMC) Thermics |
| title | A symbolic approach for the identification of radiative properties |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-12T12%3A58%3A22IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-hal_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20symbolic%20approach%20for%20the%20identification%20of%20radiative%20properties&rft.jtitle=Journal%20of%20quantitative%20spectroscopy%20&%20radiative%20transfer&rft.au=Galtier,%20M.&rft.date=2017-07-01&rft.volume=196&rft.spage=130&rft.epage=141&rft.pages=130-141&rft.issn=0022-4073&rft.eissn=1879-1352&rft_id=info:doi/10.1016/j.jqsrt.2017.03.026&rft_dat=%3Chal_cross%3Eoai_HAL_hal_01871396v1%3C/hal_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_els_id=S0022407316307877&rfr_iscdi=true |