powderday: Dust Radiative Transfer for Galaxy Simulations

We present powderday (available at https://github.com/dnarayanan/powderday), a flexible, fast, open-source dust radiative transfer package designed to interface with both idealized and cosmological galaxy formation simulations. powderday builds on fsps stellar population synthesis models, and hyperi...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:The Astrophysical journal. Supplement series 2021-01, Vol.252 (1), p.12
Hauptverfasser: Narayanan, Desika, Turk, Matthew J., Robitaille, Thomas, Kelly, Ashley J., McClellan, B. Connor, Sharma, Ray S, Garg, Prerak, Abruzzo, Matthew, Choi, Ena, Conroy, Charlie, Johnson, Benjamin D., Kimock, Benjamin, Li, Qi, Lovell, Christopher C., Lower, Sidney, Privon, George C., Roberts, Jonathan, Sethuram, Snigdaa, Snyder, Gregory F., Thompson, Robert, Wise, John H.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 1
container_start_page 12
container_title The Astrophysical journal. Supplement series
container_volume 252
creator Narayanan, Desika
Turk, Matthew J.
Robitaille, Thomas
Kelly, Ashley J.
McClellan, B. Connor
Sharma, Ray S
Garg, Prerak
Abruzzo, Matthew
Choi, Ena
Conroy, Charlie
Johnson, Benjamin D.
Kimock, Benjamin
Li, Qi
Lovell, Christopher C.
Lower, Sidney
Privon, George C.
Roberts, Jonathan
Sethuram, Snigdaa
Snyder, Gregory F.
Thompson, Robert
Wise, John H.
description We present powderday (available at https://github.com/dnarayanan/powderday), a flexible, fast, open-source dust radiative transfer package designed to interface with both idealized and cosmological galaxy formation simulations. powderday builds on fsps stellar population synthesis models, and hyperion dust radiative transfer, and employs yt to interface between different software packages. We include our stellar population synthesis modeling on the fly, allowing significant flexibility in the assumed stellar physics and nebular line emission. The dust content follows either simple observationally motivated prescriptions (i.e., constant dust-to-metals ratios, or dust-to-gas ratios that vary with metallicity), direct modeling from galaxy formation simulations that include dust physics, as well as a novel approach that includes the dust content via learning-based algorithms from the simba cosmological galaxy formation simulation. Active galactic nuclei (AGNs) can additionally be included via a range of prescriptions. The output of these models are broadband (912 -1 mm) spectral energy distributions (SEDs), as well as filter-convolved monochromatic images. powderday is designed to eliminate last-mile efforts by researchers that employ different hydrodynamic galaxy formation models and seamlessly interfaces with gizmo, arepo, gasoline, changa, and enzo. We demonstrate the capabilities of the code via three applications: a model for the star formation rate-infrared luminosity relation in galaxies (including the impact of AGNs), the impact of circumstellar dust around AGB stars on the mid-infrared emission from galaxy SEDs, and the impact of galaxy inclination angle on dust attenuation laws.
doi_str_mv 10.3847/1538-4365/abc487
format Article
fullrecord <record><control><sourceid>proquest_O3W</sourceid><recordid>TN_cdi_proquest_journals_2478793175</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2478793175</sourcerecordid><originalsourceid>FETCH-LOGICAL-c446t-94851f86aaec12686f6c32b06cfde02b119c79bd5717f023733ae8a2867d4a863</originalsourceid><addsrcrecordid>eNp1kMtLw0AQhxdRsFbvHgPizdh9ZR_epNUqFASt52WyD0hpm7ibqP3vTYnoRU8DM7_5hvkQOif4mikuJ6RgKudMFBMoLVfyAI1-WodohLGQOcZcH6OTlFYYY1kwPUK6qT-cjw52N9msS232DK6Ctnr32TLCNgUfs1DHbA5r-NxlL9WmW_fjeptO0VGAdfJn33WMXu_vltOHfPE0f5zeLnLLuWhzzVVBghIA3hIqlAjCMlpiYYPzmJaEaCt16QpJZMCUScbAK6BKSMdBCTZGFwO3ifVb51NrVnUXt_1JQ7lUUjPSvzJGeEjZWKcUfTBNrDYQd4Zgsxdk9jbM3oYZBPUrl8NKVTe_TGhWPbighhhCTeNCn7v6I_cv9guzMHK0</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2478793175</pqid></control><display><type>article</type><title>powderday: Dust Radiative Transfer for Galaxy Simulations</title><source>Institute of Physics Open Access Journal Titles</source><creator>Narayanan, Desika ; Turk, Matthew J. ; Robitaille, Thomas ; Kelly, Ashley J. ; McClellan, B. Connor ; Sharma, Ray S ; Garg, Prerak ; Abruzzo, Matthew ; Choi, Ena ; Conroy, Charlie ; Johnson, Benjamin D. ; Kimock, Benjamin ; Li, Qi ; Lovell, Christopher C. ; Lower, Sidney ; Privon, George C. ; Roberts, Jonathan ; Sethuram, Snigdaa ; Snyder, Gregory F. ; Thompson, Robert ; Wise, John H.</creator><creatorcontrib>Narayanan, Desika ; Turk, Matthew J. ; Robitaille, Thomas ; Kelly, Ashley J. ; McClellan, B. Connor ; Sharma, Ray S ; Garg, Prerak ; Abruzzo, Matthew ; Choi, Ena ; Conroy, Charlie ; Johnson, Benjamin D. ; Kimock, Benjamin ; Li, Qi ; Lovell, Christopher C. ; Lower, Sidney ; Privon, George C. ; Roberts, Jonathan ; Sethuram, Snigdaa ; Snyder, Gregory F. ; Thompson, Robert ; Wise, John H.</creatorcontrib><description>We present powderday (available at https://github.com/dnarayanan/powderday), a flexible, fast, open-source dust radiative transfer package designed to interface with both idealized and cosmological galaxy formation simulations. powderday builds on fsps stellar population synthesis models, and hyperion dust radiative transfer, and employs yt to interface between different software packages. We include our stellar population synthesis modeling on the fly, allowing significant flexibility in the assumed stellar physics and nebular line emission. The dust content follows either simple observationally motivated prescriptions (i.e., constant dust-to-metals ratios, or dust-to-gas ratios that vary with metallicity), direct modeling from galaxy formation simulations that include dust physics, as well as a novel approach that includes the dust content via learning-based algorithms from the simba cosmological galaxy formation simulation. Active galactic nuclei (AGNs) can additionally be included via a range of prescriptions. The output of these models are broadband (912 -1 mm) spectral energy distributions (SEDs), as well as filter-convolved monochromatic images. powderday is designed to eliminate last-mile efforts by researchers that employ different hydrodynamic galaxy formation models and seamlessly interfaces with gizmo, arepo, gasoline, changa, and enzo. We demonstrate the capabilities of the code via three applications: a model for the star formation rate-infrared luminosity relation in galaxies (including the impact of AGNs), the impact of circumstellar dust around AGB stars on the mid-infrared emission from galaxy SEDs, and the impact of galaxy inclination angle on dust attenuation laws.</description><identifier>ISSN: 0067-0049</identifier><identifier>EISSN: 1538-4365</identifier><identifier>DOI: 10.3847/1538-4365/abc487</identifier><language>eng</language><publisher>Saskatoon: The American Astronomical Society</publisher><subject>Active galactic nuclei ; Algorithms ; Astronomical models ; Astronomy software ; Asymptotic giant branch stars ; Attenuation ; Broadband ; Circumstellar dust ; Cosmic dust ; Dust ; Emission ; Galactic evolution ; Galaxies ; Galaxy evolution ; Galaxy luminosities ; Gasoline ; Image filters ; Inclination angle ; Infrared emissions ; Luminosity ; Machine learning ; Metallicity ; Open source software ; Physics ; Radiative transfer ; Radiative transfer simulations ; Simulation ; Source code ; Star &amp; galaxy formation ; Star formation ; Star formation rate ; Stellar models ; Stellar physics ; Synthesis</subject><ispartof>The Astrophysical journal. Supplement series, 2021-01, Vol.252 (1), p.12</ispartof><rights>2021. The American Astronomical Society. All rights reserved.</rights><rights>Copyright IOP Publishing Jan 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c446t-94851f86aaec12686f6c32b06cfde02b119c79bd5717f023733ae8a2867d4a863</citedby><cites>FETCH-LOGICAL-c446t-94851f86aaec12686f6c32b06cfde02b119c79bd5717f023733ae8a2867d4a863</cites><orcidid>0000-0002-9280-7594 ; 0000-0002-1590-8551 ; 0000-0002-5294-0198 ; 0000-0002-6040-8281 ; 0000-0002-8131-6378 ; 0000-0002-3160-7679 ; 0000-0003-3474-1125 ; 0000-0002-8642-1329 ; 0000-0003-4422-8595 ; 0000-0002-4226-304X ; 0000-0003-1173-8847 ; 0000-0002-7064-4309 ; 0000-0001-8350-4535 ; 0000-0003-3850-4469 ; 0000-0001-7964-5933</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://iopscience.iop.org/article/10.3847/1538-4365/abc487/pdf$$EPDF$$P50$$Giop$$H</linktopdf><link.rule.ids>314,780,784,27924,27925,38868,38890,53840,53867</link.rule.ids><linktorsrc>$$Uhttps://iopscience.iop.org/article/10.3847/1538-4365/abc487$$EView_record_in_IOP_Publishing$$FView_record_in_$$GIOP_Publishing</linktorsrc></links><search><creatorcontrib>Narayanan, Desika</creatorcontrib><creatorcontrib>Turk, Matthew J.</creatorcontrib><creatorcontrib>Robitaille, Thomas</creatorcontrib><creatorcontrib>Kelly, Ashley J.</creatorcontrib><creatorcontrib>McClellan, B. Connor</creatorcontrib><creatorcontrib>Sharma, Ray S</creatorcontrib><creatorcontrib>Garg, Prerak</creatorcontrib><creatorcontrib>Abruzzo, Matthew</creatorcontrib><creatorcontrib>Choi, Ena</creatorcontrib><creatorcontrib>Conroy, Charlie</creatorcontrib><creatorcontrib>Johnson, Benjamin D.</creatorcontrib><creatorcontrib>Kimock, Benjamin</creatorcontrib><creatorcontrib>Li, Qi</creatorcontrib><creatorcontrib>Lovell, Christopher C.</creatorcontrib><creatorcontrib>Lower, Sidney</creatorcontrib><creatorcontrib>Privon, George C.</creatorcontrib><creatorcontrib>Roberts, Jonathan</creatorcontrib><creatorcontrib>Sethuram, Snigdaa</creatorcontrib><creatorcontrib>Snyder, Gregory F.</creatorcontrib><creatorcontrib>Thompson, Robert</creatorcontrib><creatorcontrib>Wise, John H.</creatorcontrib><title>powderday: Dust Radiative Transfer for Galaxy Simulations</title><title>The Astrophysical journal. Supplement series</title><addtitle>APJS</addtitle><addtitle>Astrophys. J. Suppl</addtitle><description>We present powderday (available at https://github.com/dnarayanan/powderday), a flexible, fast, open-source dust radiative transfer package designed to interface with both idealized and cosmological galaxy formation simulations. powderday builds on fsps stellar population synthesis models, and hyperion dust radiative transfer, and employs yt to interface between different software packages. We include our stellar population synthesis modeling on the fly, allowing significant flexibility in the assumed stellar physics and nebular line emission. The dust content follows either simple observationally motivated prescriptions (i.e., constant dust-to-metals ratios, or dust-to-gas ratios that vary with metallicity), direct modeling from galaxy formation simulations that include dust physics, as well as a novel approach that includes the dust content via learning-based algorithms from the simba cosmological galaxy formation simulation. Active galactic nuclei (AGNs) can additionally be included via a range of prescriptions. The output of these models are broadband (912 -1 mm) spectral energy distributions (SEDs), as well as filter-convolved monochromatic images. powderday is designed to eliminate last-mile efforts by researchers that employ different hydrodynamic galaxy formation models and seamlessly interfaces with gizmo, arepo, gasoline, changa, and enzo. We demonstrate the capabilities of the code via three applications: a model for the star formation rate-infrared luminosity relation in galaxies (including the impact of AGNs), the impact of circumstellar dust around AGB stars on the mid-infrared emission from galaxy SEDs, and the impact of galaxy inclination angle on dust attenuation laws.</description><subject>Active galactic nuclei</subject><subject>Algorithms</subject><subject>Astronomical models</subject><subject>Astronomy software</subject><subject>Asymptotic giant branch stars</subject><subject>Attenuation</subject><subject>Broadband</subject><subject>Circumstellar dust</subject><subject>Cosmic dust</subject><subject>Dust</subject><subject>Emission</subject><subject>Galactic evolution</subject><subject>Galaxies</subject><subject>Galaxy evolution</subject><subject>Galaxy luminosities</subject><subject>Gasoline</subject><subject>Image filters</subject><subject>Inclination angle</subject><subject>Infrared emissions</subject><subject>Luminosity</subject><subject>Machine learning</subject><subject>Metallicity</subject><subject>Open source software</subject><subject>Physics</subject><subject>Radiative transfer</subject><subject>Radiative transfer simulations</subject><subject>Simulation</subject><subject>Source code</subject><subject>Star &amp; galaxy formation</subject><subject>Star formation</subject><subject>Star formation rate</subject><subject>Stellar models</subject><subject>Stellar physics</subject><subject>Synthesis</subject><issn>0067-0049</issn><issn>1538-4365</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp1kMtLw0AQhxdRsFbvHgPizdh9ZR_epNUqFASt52WyD0hpm7ibqP3vTYnoRU8DM7_5hvkQOif4mikuJ6RgKudMFBMoLVfyAI1-WodohLGQOcZcH6OTlFYYY1kwPUK6qT-cjw52N9msS232DK6Ctnr32TLCNgUfs1DHbA5r-NxlL9WmW_fjeptO0VGAdfJn33WMXu_vltOHfPE0f5zeLnLLuWhzzVVBghIA3hIqlAjCMlpiYYPzmJaEaCt16QpJZMCUScbAK6BKSMdBCTZGFwO3ifVb51NrVnUXt_1JQ7lUUjPSvzJGeEjZWKcUfTBNrDYQd4Zgsxdk9jbM3oYZBPUrl8NKVTe_TGhWPbighhhCTeNCn7v6I_cv9guzMHK0</recordid><startdate>20210101</startdate><enddate>20210101</enddate><creator>Narayanan, Desika</creator><creator>Turk, Matthew J.</creator><creator>Robitaille, Thomas</creator><creator>Kelly, Ashley J.</creator><creator>McClellan, B. Connor</creator><creator>Sharma, Ray S</creator><creator>Garg, Prerak</creator><creator>Abruzzo, Matthew</creator><creator>Choi, Ena</creator><creator>Conroy, Charlie</creator><creator>Johnson, Benjamin D.</creator><creator>Kimock, Benjamin</creator><creator>Li, Qi</creator><creator>Lovell, Christopher C.</creator><creator>Lower, Sidney</creator><creator>Privon, George C.</creator><creator>Roberts, Jonathan</creator><creator>Sethuram, Snigdaa</creator><creator>Snyder, Gregory F.</creator><creator>Thompson, Robert</creator><creator>Wise, John H.</creator><general>The American Astronomical Society</general><general>IOP Publishing</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>8FD</scope><scope>H8D</scope><scope>KL.</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-9280-7594</orcidid><orcidid>https://orcid.org/0000-0002-1590-8551</orcidid><orcidid>https://orcid.org/0000-0002-5294-0198</orcidid><orcidid>https://orcid.org/0000-0002-6040-8281</orcidid><orcidid>https://orcid.org/0000-0002-8131-6378</orcidid><orcidid>https://orcid.org/0000-0002-3160-7679</orcidid><orcidid>https://orcid.org/0000-0003-3474-1125</orcidid><orcidid>https://orcid.org/0000-0002-8642-1329</orcidid><orcidid>https://orcid.org/0000-0003-4422-8595</orcidid><orcidid>https://orcid.org/0000-0002-4226-304X</orcidid><orcidid>https://orcid.org/0000-0003-1173-8847</orcidid><orcidid>https://orcid.org/0000-0002-7064-4309</orcidid><orcidid>https://orcid.org/0000-0001-8350-4535</orcidid><orcidid>https://orcid.org/0000-0003-3850-4469</orcidid><orcidid>https://orcid.org/0000-0001-7964-5933</orcidid></search><sort><creationdate>20210101</creationdate><title>powderday: Dust Radiative Transfer for Galaxy Simulations</title><author>Narayanan, Desika ; Turk, Matthew J. ; Robitaille, Thomas ; Kelly, Ashley J. ; McClellan, B. Connor ; Sharma, Ray S ; Garg, Prerak ; Abruzzo, Matthew ; Choi, Ena ; Conroy, Charlie ; Johnson, Benjamin D. ; Kimock, Benjamin ; Li, Qi ; Lovell, Christopher C. ; Lower, Sidney ; Privon, George C. ; Roberts, Jonathan ; Sethuram, Snigdaa ; Snyder, Gregory F. ; Thompson, Robert ; Wise, John H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c446t-94851f86aaec12686f6c32b06cfde02b119c79bd5717f023733ae8a2867d4a863</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Active galactic nuclei</topic><topic>Algorithms</topic><topic>Astronomical models</topic><topic>Astronomy software</topic><topic>Asymptotic giant branch stars</topic><topic>Attenuation</topic><topic>Broadband</topic><topic>Circumstellar dust</topic><topic>Cosmic dust</topic><topic>Dust</topic><topic>Emission</topic><topic>Galactic evolution</topic><topic>Galaxies</topic><topic>Galaxy evolution</topic><topic>Galaxy luminosities</topic><topic>Gasoline</topic><topic>Image filters</topic><topic>Inclination angle</topic><topic>Infrared emissions</topic><topic>Luminosity</topic><topic>Machine learning</topic><topic>Metallicity</topic><topic>Open source software</topic><topic>Physics</topic><topic>Radiative transfer</topic><topic>Radiative transfer simulations</topic><topic>Simulation</topic><topic>Source code</topic><topic>Star &amp; galaxy formation</topic><topic>Star formation</topic><topic>Star formation rate</topic><topic>Stellar models</topic><topic>Stellar physics</topic><topic>Synthesis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Narayanan, Desika</creatorcontrib><creatorcontrib>Turk, Matthew J.</creatorcontrib><creatorcontrib>Robitaille, Thomas</creatorcontrib><creatorcontrib>Kelly, Ashley J.</creatorcontrib><creatorcontrib>McClellan, B. Connor</creatorcontrib><creatorcontrib>Sharma, Ray S</creatorcontrib><creatorcontrib>Garg, Prerak</creatorcontrib><creatorcontrib>Abruzzo, Matthew</creatorcontrib><creatorcontrib>Choi, Ena</creatorcontrib><creatorcontrib>Conroy, Charlie</creatorcontrib><creatorcontrib>Johnson, Benjamin D.</creatorcontrib><creatorcontrib>Kimock, Benjamin</creatorcontrib><creatorcontrib>Li, Qi</creatorcontrib><creatorcontrib>Lovell, Christopher C.</creatorcontrib><creatorcontrib>Lower, Sidney</creatorcontrib><creatorcontrib>Privon, George C.</creatorcontrib><creatorcontrib>Roberts, Jonathan</creatorcontrib><creatorcontrib>Sethuram, Snigdaa</creatorcontrib><creatorcontrib>Snyder, Gregory F.</creatorcontrib><creatorcontrib>Thompson, Robert</creatorcontrib><creatorcontrib>Wise, John H.</creatorcontrib><collection>CrossRef</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>The Astrophysical journal. Supplement series</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Narayanan, Desika</au><au>Turk, Matthew J.</au><au>Robitaille, Thomas</au><au>Kelly, Ashley J.</au><au>McClellan, B. Connor</au><au>Sharma, Ray S</au><au>Garg, Prerak</au><au>Abruzzo, Matthew</au><au>Choi, Ena</au><au>Conroy, Charlie</au><au>Johnson, Benjamin D.</au><au>Kimock, Benjamin</au><au>Li, Qi</au><au>Lovell, Christopher C.</au><au>Lower, Sidney</au><au>Privon, George C.</au><au>Roberts, Jonathan</au><au>Sethuram, Snigdaa</au><au>Snyder, Gregory F.</au><au>Thompson, Robert</au><au>Wise, John H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>powderday: Dust Radiative Transfer for Galaxy Simulations</atitle><jtitle>The Astrophysical journal. Supplement series</jtitle><stitle>APJS</stitle><addtitle>Astrophys. J. Suppl</addtitle><date>2021-01-01</date><risdate>2021</risdate><volume>252</volume><issue>1</issue><spage>12</spage><pages>12-</pages><issn>0067-0049</issn><eissn>1538-4365</eissn><abstract>We present powderday (available at https://github.com/dnarayanan/powderday), a flexible, fast, open-source dust radiative transfer package designed to interface with both idealized and cosmological galaxy formation simulations. powderday builds on fsps stellar population synthesis models, and hyperion dust radiative transfer, and employs yt to interface between different software packages. We include our stellar population synthesis modeling on the fly, allowing significant flexibility in the assumed stellar physics and nebular line emission. The dust content follows either simple observationally motivated prescriptions (i.e., constant dust-to-metals ratios, or dust-to-gas ratios that vary with metallicity), direct modeling from galaxy formation simulations that include dust physics, as well as a novel approach that includes the dust content via learning-based algorithms from the simba cosmological galaxy formation simulation. Active galactic nuclei (AGNs) can additionally be included via a range of prescriptions. The output of these models are broadband (912 -1 mm) spectral energy distributions (SEDs), as well as filter-convolved monochromatic images. powderday is designed to eliminate last-mile efforts by researchers that employ different hydrodynamic galaxy formation models and seamlessly interfaces with gizmo, arepo, gasoline, changa, and enzo. We demonstrate the capabilities of the code via three applications: a model for the star formation rate-infrared luminosity relation in galaxies (including the impact of AGNs), the impact of circumstellar dust around AGB stars on the mid-infrared emission from galaxy SEDs, and the impact of galaxy inclination angle on dust attenuation laws.</abstract><cop>Saskatoon</cop><pub>The American Astronomical Society</pub><doi>10.3847/1538-4365/abc487</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0002-9280-7594</orcidid><orcidid>https://orcid.org/0000-0002-1590-8551</orcidid><orcidid>https://orcid.org/0000-0002-5294-0198</orcidid><orcidid>https://orcid.org/0000-0002-6040-8281</orcidid><orcidid>https://orcid.org/0000-0002-8131-6378</orcidid><orcidid>https://orcid.org/0000-0002-3160-7679</orcidid><orcidid>https://orcid.org/0000-0003-3474-1125</orcidid><orcidid>https://orcid.org/0000-0002-8642-1329</orcidid><orcidid>https://orcid.org/0000-0003-4422-8595</orcidid><orcidid>https://orcid.org/0000-0002-4226-304X</orcidid><orcidid>https://orcid.org/0000-0003-1173-8847</orcidid><orcidid>https://orcid.org/0000-0002-7064-4309</orcidid><orcidid>https://orcid.org/0000-0001-8350-4535</orcidid><orcidid>https://orcid.org/0000-0003-3850-4469</orcidid><orcidid>https://orcid.org/0000-0001-7964-5933</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 0067-0049
ispartof The Astrophysical journal. Supplement series, 2021-01, Vol.252 (1), p.12
issn 0067-0049
1538-4365
language eng
recordid cdi_proquest_journals_2478793175
source Institute of Physics Open Access Journal Titles
subjects Active galactic nuclei
Algorithms
Astronomical models
Astronomy software
Asymptotic giant branch stars
Attenuation
Broadband
Circumstellar dust
Cosmic dust
Dust
Emission
Galactic evolution
Galaxies
Galaxy evolution
Galaxy luminosities
Gasoline
Image filters
Inclination angle
Infrared emissions
Luminosity
Machine learning
Metallicity
Open source software
Physics
Radiative transfer
Radiative transfer simulations
Simulation
Source code
Star & galaxy formation
Star formation
Star formation rate
Stellar models
Stellar physics
Synthesis
title powderday: Dust Radiative Transfer for Galaxy Simulations
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-20T09%3A43%3A52IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_O3W&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=powderday:%20Dust%20Radiative%20Transfer%20for%20Galaxy%20Simulations&rft.jtitle=The%20Astrophysical%20journal.%20Supplement%20series&rft.au=Narayanan,%20Desika&rft.date=2021-01-01&rft.volume=252&rft.issue=1&rft.spage=12&rft.pages=12-&rft.issn=0067-0049&rft.eissn=1538-4365&rft_id=info:doi/10.3847/1538-4365/abc487&rft_dat=%3Cproquest_O3W%3E2478793175%3C/proquest_O3W%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2478793175&rft_id=info:pmid/&rfr_iscdi=true