Accelerating LHC event generation with simplified pilot runs and fast PDFs
Poor computing efficiency of precision event generators for LHC physics has become a bottleneck for Monte-Carlo event simulation campaigns. We provide solutions to this problem by focusing on two major components of general-purpose event generators: The PDF evaluator and the matrix-element generator...
Gespeichert in:
| Veröffentlicht in: | arXiv.org 2022-09 |
|---|---|
| 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 | Bothmann, Enrico Buckley, Andy Christidi, Ilektra A Gütschow, Christian Höche, Stefan Knobbe, Max Martin, Tim Schönherr, Marek |
| description | Poor computing efficiency of precision event generators for LHC physics has become a bottleneck for Monte-Carlo event simulation campaigns. We provide solutions to this problem by focusing on two major components of general-purpose event generators: The PDF evaluator and the matrix-element generator. For a typical production setup in the ATLAS experiment, we show that the two can consume about 80% of the total runtime. Using NLO simulations of \(pp\to\ell^+\ell^-+\text{jets}\) and \(pp\to t\bar{t}+\text{jets}\) as an example, we demonstrate that the computing footprint of LHAPDF and Sherpa can be reduced by factors of order 10, while maintaining the formal accuracy of the event sample. The improved codes are made publicly available. |
| doi_str_mv | 10.48550/arxiv.2209.00843 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_arxiv</sourceid><recordid>TN_cdi_arxiv_primary_2209_00843</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2709806270</sourcerecordid><originalsourceid>FETCH-LOGICAL-a520-8c920527855ba8891290b449e0a5d69c994ea7c1b3155de6457cac9bb6866b663</originalsourceid><addsrcrecordid>eNotj11LwzAYhYMgOOZ-gFcGvG59m68ml2M6pwz0YvclSbOZ0aU16ab--9XOqwcOh8N5ELorIGeSc3jU8cefckJA5QCS0Ss0IZQWmWSE3KBZSnsAIKIknNMJeptb6xoXde_DDq9XC-xOLvR458IYtgF_-_4TJ3_oGr_1rsadb9oex2NIWIcab3Xq8cfTMt2i661ukpv9c4o2y-fNYpWt319eF_N1pjmBTFpFgJNy-Gq0lKogCgxjyoHmtVBWKeZ0aQtDC85rJxgvrbbKGCGFMELQKbq_zI6iVRf9Qcff6k-4GoWHxsOl0cX26-hSX-3bYwzDp4qUoCSIAfQMLpFXLA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2709806270</pqid></control><display><type>article</type><title>Accelerating LHC event generation with simplified pilot runs and fast PDFs</title><source>arXiv.org</source><source>Free E- Journals</source><creator>Bothmann, Enrico ; Buckley, Andy ; Christidi, Ilektra A ; Gütschow, Christian ; Höche, Stefan ; Knobbe, Max ; Martin, Tim ; Schönherr, Marek</creator><creatorcontrib>Bothmann, Enrico ; Buckley, Andy ; Christidi, Ilektra A ; Gütschow, Christian ; Höche, Stefan ; Knobbe, Max ; Martin, Tim ; Schönherr, Marek</creatorcontrib><description>Poor computing efficiency of precision event generators for LHC physics has become a bottleneck for Monte-Carlo event simulation campaigns. We provide solutions to this problem by focusing on two major components of general-purpose event generators: The PDF evaluator and the matrix-element generator. For a typical production setup in the ATLAS experiment, we show that the two can consume about 80% of the total runtime. Using NLO simulations of \(pp\to\ell^+\ell^-+\text{jets}\) and \(pp\to t\bar{t}+\text{jets}\) as an example, we demonstrate that the computing footprint of LHAPDF and Sherpa can be reduced by factors of order 10, while maintaining the formal accuracy of the event sample. The improved codes are made publicly available.</description><identifier>EISSN: 2331-8422</identifier><identifier>DOI: 10.48550/arxiv.2209.00843</identifier><language>eng</language><publisher>Ithaca: Cornell University Library, arXiv.org</publisher><subject>Computation ; Generators ; Physics - High Energy Physics - Phenomenology</subject><ispartof>arXiv.org, 2022-09</ispartof><rights>2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>http://creativecommons.org/licenses/by/4.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,784,885,27923</link.rule.ids><backlink>$$Uhttps://doi.org/10.48550/arXiv.2209.00843$$DView paper in arXiv$$Hfree_for_read</backlink><backlink>$$Uhttps://doi.org/10.1140/epjc/s10052-022-11087-1$$DView published paper (Access to full text may be restricted)$$Hfree_for_read</backlink></links><search><creatorcontrib>Bothmann, Enrico</creatorcontrib><creatorcontrib>Buckley, Andy</creatorcontrib><creatorcontrib>Christidi, Ilektra A</creatorcontrib><creatorcontrib>Gütschow, Christian</creatorcontrib><creatorcontrib>Höche, Stefan</creatorcontrib><creatorcontrib>Knobbe, Max</creatorcontrib><creatorcontrib>Martin, Tim</creatorcontrib><creatorcontrib>Schönherr, Marek</creatorcontrib><title>Accelerating LHC event generation with simplified pilot runs and fast PDFs</title><title>arXiv.org</title><description>Poor computing efficiency of precision event generators for LHC physics has become a bottleneck for Monte-Carlo event simulation campaigns. We provide solutions to this problem by focusing on two major components of general-purpose event generators: The PDF evaluator and the matrix-element generator. For a typical production setup in the ATLAS experiment, we show that the two can consume about 80% of the total runtime. Using NLO simulations of \(pp\to\ell^+\ell^-+\text{jets}\) and \(pp\to t\bar{t}+\text{jets}\) as an example, we demonstrate that the computing footprint of LHAPDF and Sherpa can be reduced by factors of order 10, while maintaining the formal accuracy of the event sample. The improved codes are made publicly available.</description><subject>Computation</subject><subject>Generators</subject><subject>Physics - High Energy Physics - Phenomenology</subject><issn>2331-8422</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GOX</sourceid><recordid>eNotj11LwzAYhYMgOOZ-gFcGvG59m68ml2M6pwz0YvclSbOZ0aU16ab--9XOqwcOh8N5ELorIGeSc3jU8cefckJA5QCS0Ss0IZQWmWSE3KBZSnsAIKIknNMJeptb6xoXde_DDq9XC-xOLvR458IYtgF_-_4TJ3_oGr_1rsadb9oex2NIWIcab3Xq8cfTMt2i661ukpv9c4o2y-fNYpWt319eF_N1pjmBTFpFgJNy-Gq0lKogCgxjyoHmtVBWKeZ0aQtDC85rJxgvrbbKGCGFMELQKbq_zI6iVRf9Qcff6k-4GoWHxsOl0cX26-hSX-3bYwzDp4qUoCSIAfQMLpFXLA</recordid><startdate>20220902</startdate><enddate>20220902</enddate><creator>Bothmann, Enrico</creator><creator>Buckley, Andy</creator><creator>Christidi, Ilektra A</creator><creator>Gütschow, Christian</creator><creator>Höche, Stefan</creator><creator>Knobbe, Max</creator><creator>Martin, Tim</creator><creator>Schönherr, Marek</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>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>GOX</scope></search><sort><creationdate>20220902</creationdate><title>Accelerating LHC event generation with simplified pilot runs and fast PDFs</title><author>Bothmann, Enrico ; Buckley, Andy ; Christidi, Ilektra A ; Gütschow, Christian ; Höche, Stefan ; Knobbe, Max ; Martin, Tim ; Schönherr, Marek</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a520-8c920527855ba8891290b449e0a5d69c994ea7c1b3155de6457cac9bb6866b663</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Computation</topic><topic>Generators</topic><topic>Physics - High Energy Physics - Phenomenology</topic><toplevel>online_resources</toplevel><creatorcontrib>Bothmann, Enrico</creatorcontrib><creatorcontrib>Buckley, Andy</creatorcontrib><creatorcontrib>Christidi, Ilektra A</creatorcontrib><creatorcontrib>Gütschow, Christian</creatorcontrib><creatorcontrib>Höche, Stefan</creatorcontrib><creatorcontrib>Knobbe, Max</creatorcontrib><creatorcontrib>Martin, Tim</creatorcontrib><creatorcontrib>Schönherr, Marek</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>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</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>Bothmann, Enrico</au><au>Buckley, Andy</au><au>Christidi, Ilektra A</au><au>Gütschow, Christian</au><au>Höche, Stefan</au><au>Knobbe, Max</au><au>Martin, Tim</au><au>Schönherr, Marek</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Accelerating LHC event generation with simplified pilot runs and fast PDFs</atitle><jtitle>arXiv.org</jtitle><date>2022-09-02</date><risdate>2022</risdate><eissn>2331-8422</eissn><abstract>Poor computing efficiency of precision event generators for LHC physics has become a bottleneck for Monte-Carlo event simulation campaigns. We provide solutions to this problem by focusing on two major components of general-purpose event generators: The PDF evaluator and the matrix-element generator. For a typical production setup in the ATLAS experiment, we show that the two can consume about 80% of the total runtime. Using NLO simulations of \(pp\to\ell^+\ell^-+\text{jets}\) and \(pp\to t\bar{t}+\text{jets}\) as an example, we demonstrate that the computing footprint of LHAPDF and Sherpa can be reduced by factors of order 10, while maintaining the formal accuracy of the event sample. The improved codes are made publicly available.</abstract><cop>Ithaca</cop><pub>Cornell University Library, arXiv.org</pub><doi>10.48550/arxiv.2209.00843</doi><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | EISSN: 2331-8422 |
| ispartof | arXiv.org, 2022-09 |
| issn | 2331-8422 |
| language | eng |
| recordid | cdi_arxiv_primary_2209_00843 |
| source | arXiv.org; Free E- Journals |
| subjects | Computation Generators Physics - High Energy Physics - Phenomenology |
| title | Accelerating LHC event generation with simplified pilot runs and fast PDFs |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-14T14%3A01%3A52IST&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=Accelerating%20LHC%20event%20generation%20with%20simplified%20pilot%20runs%20and%20fast%20PDFs&rft.jtitle=arXiv.org&rft.au=Bothmann,%20Enrico&rft.date=2022-09-02&rft.eissn=2331-8422&rft_id=info:doi/10.48550/arxiv.2209.00843&rft_dat=%3Cproquest_arxiv%3E2709806270%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=2709806270&rft_id=info:pmid/&rfr_iscdi=true |