Tdataframe: Functional Chains For Root Data Analyses

Guiraud, Enrico; Naumann, N. A.; Piparo, D.

doi:10.5281/zenodo.260230

“…A sophisticated analysis framework has been developed for all FCC analyses using the common EDM4hep data format. It is based on RDataFrames [49], where C++ code is conveniently compiled in a ROOT [50] dictionary as "analysers" which are subsequently called in Python [51]. Several external packages such as ACTS [52], FastJet [53], and awkward [54] are included.…”

Section: Analysis Frameworkmentioning

confidence: 99%

Prospects for $$ {B}_c^{+} $$→ τ +ντ at FCC-ee

Amhis

¹

,

Hartmann

²

,

Helsens

³

et al. 2021

J. High Energ. Phys.

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This paper presents the prospects for a precise measurement of the branching fraction of the leptonic $$ {B}_c^{+} $$ B c + → τ+ντ decay at the Future Circular Collider (FCC-ee) running at the Z -pole. A detailed description of the simulation and analysis framework is provided. To select signal candidates, two Boosted Decision Tree algorithms are employed and optimised. The first stage suppresses inclusive $$ b\overline{b} $$ b b ¯ , $$ c\overline{c} $$ c c ¯ , and $$ q\overline{q} $$ q q ¯ backgrounds using event-based topological information. A second stage utilises the properties of the hadronic τ+→ π+π+π−$$ \overline{\nu} $$ ν ¯ τ decay to further suppress these backgrounds, and is also found to achieve high rejection for the B+→ τ+ντ background. The number of $$ {B}_c^{+} $$ B c + → τ+ντ candidates is estimated for various Tera-Z scenarios, and the potential precision of signal yield and branching fraction measurements evaluated. The phenomenological impact of such measurements on various New Physics scenarios is also explored.

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“…A sophisticated analysis framework has been developed for all FCC analyses using the common EDM4hep data format. It is based on RDataFrames [49], where C++ code is conveniently compiled in a ROOT [50] dictionary as "analysers" which are subsequently called in Python [51]. Several external packages such as ACTS [52], FastJet [53], and awkward [54] are included.…”

Section: Analysis Frameworkmentioning

confidence: 99%

Prospects for $B_{c}^+\to τ^+ ν_τ$ at FCC-ee

Amhis,

Hartmann,

Helsens

et al. 2021

Preprint

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This paper presents the prospects for a precise measurement of the branching fraction of the leptonic B + c → τ + ντ decay at the Future Circular Collider (FCC-ee) running at the Z-pole. A detailed description of the simulation and analysis framework is provided. To select signal candidates, two Boosted Decision Tree algorithms are employed and optimised. The first stage suppresses inclusive b b, cc, and q q backgrounds using event-based topological information. A second stage utilises the properties of the hadronic τ + → π + π + π − ντ decay to further suppress these backgrounds, and is also found to achieve high rejection for the B + → τ + ντ background. The number of B + c → τ + ντ candidates is estimated for various Tera-Z scenarios, and the potential precision of signal yield and branching fraction measurements evaluated. The phenomenological impact of such measurements on various New Physics scenarios is also explored.

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“…During our work, Bulk IO is also integrated into RDataFrame [2] which is a python Pandas [4] like data analysis framework for ROOT users. RDataFrame provides a proxy interface -RDataSource (RDS).…”

Section: Bulk Io In Rdataframementioning

confidence: 99%

Speeding HEP Analysis with ROOT Bulk I/O

Bockelman

¹

,

Zhang

²

,

Shadura

³

2020

J. Phys.: Conf. Ser.

0

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Distinct HEP workflows have distinct I/O needs; while ROOT I/O excels at serializing complex C++ objects common to reconstruction, analysis workflows typically have simpler objects and can sustain higher event rates. To meet these workflows, we have developed a “bulk I/O” interface, allowing multiple events’ data to be returned per library call. This reduces ROOT-related overheads and increases event rates – orders-of-magnitude improvements are shown in microbenchmarks. Unfortunately, this bulk interface is difficult to use as it requires users to identify when it is applicable and they still “think” in terms of events, not arrays of data. We have integrated the bulk I/O interface into the new RDataFrame analysis framework inside ROOT. As RDataFrame’s interface can provide improved type information, the framework itself can determine what data is readable via the bulk IO and automatically switch between interfaces. We demonstrate how this can improve event rates when reading analysis data formats, such as CMS’s NanoAOD.

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Tdataframe: Functional Chains For Root Data Analyses

Cited by 14 publications

References 0 publications

Prospects for $$ {B}_c^{+} $$→ τ +ντ at FCC-ee

Prospects for $$ {B}_c^{+} $$→ τ +ντ at FCC-ee

Prospects for $B_{c}^+\to τ^+ ν_τ$ at FCC-ee

Speeding HEP Analysis with ROOT Bulk I/O

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