Recent advances in ADL, CutLang and adl2tnm
This paper presents an overview and features of an Analysis Description Language (ADL) designed for HEP data analysis. ADL is a domainspecific, declarative language that describes the physics content of an analysis in a standard and unambiguous way, independent of any computing frameworks. It also d...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2021-01-01
|
| Series: | EPJ Web of Conferences |
| Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2021/05/epjconf_chep2021_03062.pdf |
| _version_ | 1818594580060176384 |
|---|---|
| author | Prosper Harrison B. Sekmen Sezen Unel Gokhan Paul Arpon |
| author_facet | Prosper Harrison B. Sekmen Sezen Unel Gokhan Paul Arpon |
| author_sort | Prosper Harrison B. |
| collection | DOAJ |
| description | This paper presents an overview and features of an Analysis Description Language (ADL) designed for HEP data analysis. ADL is a domainspecific, declarative language that describes the physics content of an analysis in a standard and unambiguous way, independent of any computing frameworks. It also describes infrastructures that render ADL executable, namely CutLang, a direct runtime interpreter (originally also a language), and adl2tnm, a transpiler converting ADL into C++ code. In ADL, analyses are described in humanreadable plain text files, clearly separating object, variable and event selection definitions in blocks, with a syntax that includes mathematical and logical operations, comparison and optimisation operators, reducers, four-vector algebra and commonly used functions. Recent studies demonstrate that adapting the ADL approach has numerous benefits for the experimental and phenomenological HEP communities. These include facilitating the abstraction, design, optimization, visualization, validation, combination, reproduction, interpretation and overall communication of the analysis contents and long term preservation of the analyses beyond the lifetimes of experiments. Here we also discuss some of the current ADL applications in physics studies and future prospects based on static analysis and differentiable programming. |
| first_indexed | 2024-12-16T11:02:22Z |
| format | Article |
| id | doaj.art-bc53be61d5944d6990242dffa87d1dbd |
| institution | Directory Open Access Journal |
| issn | 2100-014X |
| language | English |
| last_indexed | 2024-12-16T11:02:22Z |
| publishDate | 2021-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | EPJ Web of Conferences |
| spelling | doaj.art-bc53be61d5944d6990242dffa87d1dbd2022-12-21T22:33:57ZengEDP SciencesEPJ Web of Conferences2100-014X2021-01-012510306210.1051/epjconf/202125103062epjconf_chep2021_03062Recent advances in ADL, CutLang and adl2tnmProsper Harrison B.0Sekmen Sezen1Unel Gokhan2Paul Arpon3Department of Physics, Florida State UniversityCenter for High Energy Physics, Kyungpook National UniversityPhysics and Astronomy Department, University of California at IrvineThe Abdus Salam International Centre for Theoretical PhysicsThis paper presents an overview and features of an Analysis Description Language (ADL) designed for HEP data analysis. ADL is a domainspecific, declarative language that describes the physics content of an analysis in a standard and unambiguous way, independent of any computing frameworks. It also describes infrastructures that render ADL executable, namely CutLang, a direct runtime interpreter (originally also a language), and adl2tnm, a transpiler converting ADL into C++ code. In ADL, analyses are described in humanreadable plain text files, clearly separating object, variable and event selection definitions in blocks, with a syntax that includes mathematical and logical operations, comparison and optimisation operators, reducers, four-vector algebra and commonly used functions. Recent studies demonstrate that adapting the ADL approach has numerous benefits for the experimental and phenomenological HEP communities. These include facilitating the abstraction, design, optimization, visualization, validation, combination, reproduction, interpretation and overall communication of the analysis contents and long term preservation of the analyses beyond the lifetimes of experiments. Here we also discuss some of the current ADL applications in physics studies and future prospects based on static analysis and differentiable programming.https://www.epj-conferences.org/articles/epjconf/pdf/2021/05/epjconf_chep2021_03062.pdf |
| spellingShingle | Prosper Harrison B. Sekmen Sezen Unel Gokhan Paul Arpon Recent advances in ADL, CutLang and adl2tnm EPJ Web of Conferences |
| title | Recent advances in ADL, CutLang and adl2tnm |
| title_full | Recent advances in ADL, CutLang and adl2tnm |
| title_fullStr | Recent advances in ADL, CutLang and adl2tnm |
| title_full_unstemmed | Recent advances in ADL, CutLang and adl2tnm |
| title_short | Recent advances in ADL, CutLang and adl2tnm |
| title_sort | recent advances in adl cutlang and adl2tnm |
| url | https://www.epj-conferences.org/articles/epjconf/pdf/2021/05/epjconf_chep2021_03062.pdf |
| work_keys_str_mv | AT prosperharrisonb recentadvancesinadlcutlangandadl2tnm AT sekmensezen recentadvancesinadlcutlangandadl2tnm AT unelgokhan recentadvancesinadlcutlangandadl2tnm AT paularpon recentadvancesinadlcutlangandadl2tnm |