Ipanema-\beta : tools and examples for HEP analysis on GPU - INSPIRE

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Ipanema-\beta : tools and examples for HEP analysis on GPU

Jun 5, 2017

25 pages

e-Print:

1706.01420 [hep-ex]

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Abstract: (arXiv)

We present here a set of examples, classes and tools which can be used for statistical analysis in Graphics Processing Units (GPU). This includes binned and unbinned maximum likelihood fits, pseudo-experiment generation, convolutions, Markov Chain Monte Carlo method implementations, and limit setting techniques.

Monte Carlo: Markov chain
statistical analysis
graphics
data analysis method
programming
numerical calculations

References(12)

Figures(11)

[1]

Pycuda and pyopencl: A scripting-based approach to gpu run-time code generation

A. Klöckner
,
N. Pinto
,
Y. Lee
,
B. Catanzaro
,
P. Ivanov

et al.

- Parallel Comput. 38 (2012) 157-174

[2]

Iminuit - interactive ipython friendly minimizer based on seal minuit.

[3]

May

F. James
,
M. Winkler

[4]

X-ray spectral modelling of the AGN obscuring region in the CDFS: Bayesian model selection and catalogue

et al.

- Astron.Astrophys. 564 (2014) A125
•
e-Print:
- 1402.0004
•
DOI:
- 10.1051/0004-6361/201322971

[5]

Anaconda.

[6]

reikna.

[7]

MultiNest: an efficient and robust Bayesian inference tool for cosmology and particle physics

- Mon.Not.Roy.Astron.Soc. 398 (2009) 1601-1614
•
e-Print:
- 0809.3437
•
DOI:
- 10.1111/j.1365-2966.2009.14548.x

[8]

Precision measurement of $CP$ violation in $B_s^0 \to J/\psi K^+K^-$ decays

LHCb

Collaboration

•

Roel Aaij
(
- NIKHEF, Amsterdam
)

et al.

- Phys.Rev.Lett. 114 (2015) 4, 041801
•
e-Print:
- 1411.3104
•
DOI:
- 10.1103/PhysRevLett.114.041801

[9]

The EvtGen particle decay simulation package

D.J. Lange
(
- LLNL, Livermore
)

- Nucl.Instrum.Meth.A 462 (2001) 152-155
•
DOI:
- 10.1016/S0168-9002(01)00089-4

[10]

Mass distributions marginalized over per-event errors

- Nucl.Instrum.Meth.A 764 (2014) 150-155
•
e-Print:
- 1312.5000
•
DOI:
- 10.1016/j.nima.2014.06.081

[11]

Confidence level computation for combining searches with small statistics

Thomas Junk
(
- Carleton U.
)

- Nucl.Instrum.Meth.A 434 (1999) 435-443
•
e-Print:
- hep-ex/9902006
•
DOI:
- 10.1016/S0168-9002(99)00498-2

[12]

Presentation of search results: The $CL_s$ technique

Alexander L. Read
(
- Oslo U.
)

- J.Phys.G 28 (2002) 2693-2704,
•
DOI:
- 10.1088/0954-3899/28/10/313