SVD approach to data unfolding

Höcker, A.; Kartvelishvili, V.

doi:10.1016/0168-9002(95)01478-0

Cited by 556 publications

(520 citation statements)

References 2 publications

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“…These values contain the information needed to transform the measured distribution into the unfolded spectrum, along with statistical uncertainties from fluctuations. Not all SV are relevant; non-significant values have zero mean and standard deviation equal to unity [27]. Using toy simulations, we find that seven SV have to be kept with events distributed over ten bins.…”

Section: B Background Rejectionmentioning

confidence: 99%

See 1 more Smart Citation

Measurement of the hadronic form factor inD0→K−e+νedecays

Aubert¹,

Bóna²,

Boutigny³

et al. 2007

Phys. Rev. D

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The shape of the hadronic form factor f+(q 2 ) in the decay D 0 → K − e + νe has been measured in a model independent analysis and compared with theoretical calculations. We use 75 fb −1 of data recorded by the BABAR detector at the PEPII electron-positron collider. The corresponding decay branching fraction, relative to the decay D 0 → K − π + , has also been measured to be RD = BR(D 0 → K − e + νe)/BR(D 0 → K − π + ) = 0.927 ± 0.007 ± 0.012. From these results, and using the present world average value for BR(D 0 → K − π + ), the normalization of the form factor at q 2 = 0 is determined to be f+(0) = 0.727 ± 0.007 ± 0.005 ± 0.007 where the uncertainties are statistical, systematic, and from external inputs, respectively.

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Section: B Background Rejectionmentioning

confidence: 99%

“…To obtain the unfolded q 2 distribution for signal events, corrected for resolution and acceptance effects, the Singular Value Decomposition (SVD) [27] of the resolution matrix has been used. This method uses a two-dimensional matrix which relates the generated q 2 distribution to the detected distribution, q 2 r , as input.…”

Section: B Background Rejectionmentioning

confidence: 99%

Measurement of the hadronic form factor inD0→K−e+νedecays

Aubert¹,

Bóna²,

Boutigny³

et al. 2007

Phys. Rev. D

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show abstract

“…The latter two correction steps, correcting background fluctuations and detector effects, are applied in the unfolding procedure. For the shown results, the Singular Value Decomposition [6] method was used. Bayesian and χ 2 unfolding were used for systematic comparisons and checks.…”

Section: Pos(eps-hep 2013)176mentioning

confidence: 99%

Minimum bias charged jet spectra in proton-lead collisions at Alice

Haake¹

2014

Proceedings of the European Physical Society Conference on High Energy Physics — PoS(EPS-HEP 2013)

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Highly energetic jets are sensitive probes for the kinematics and the topology of nuclear collisions. Jets are produced in an early stage of the collision from hard-scattered partons, which fragment into a spray of charged and neutral particles. The measurement of jet spectra in p-Pb collisions provides an important way to quantify the effects of cold nuclear matter on jet production, fragmentation and hadronization. This is possible because the hot, dense medium produced in Pb-Pb collisions is not expected to form. Proton-Lead collisions also provide an important constraint for the nuclear parton density functions. The exact evaluation of the background from the underlying event is an important ingredient to correct the measured jet spectra. The system size in p-Pb collisions is much smaller than in Pb-Pb so that the methods for background estimation need to be refined. The analysis reported here is performed on p-Pb data taken at √ s NN = 5.02 TeV by the ALICE detector at the LHC in the beginning of 2013. The focus of our analysis lies on the minimum bias charged jet spectra and their comparison to the spectra from pp collisions. For this analysis various estimates for the background and its fluctuations have been tested in p-Pb and PYTHIA simulations.

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“…The unfolding was performed by calculating a detector response matrix, which represents a linear transformation of the hadron-level two-dimensional distribution of φ -p T,jet or β -p T,jet to a detector-level distribution. The unfolding procedure was based on the regularised inversion of the response matrix using Singular Value Decomposition (SVD) as implemented in the TSVDUnfold package [16]. The regularisation parameter was determined according to the procedure suggested by the authors of the unfolding package.…”

Section: Pos(dis2015)062mentioning

confidence: 99%

Production of exclusive dijets in diffractive deep inelastic scattering at HERA

Adamczyk¹

2016

Proceedings of XXIII International Workshop on Deep-Inelastic Scattering — PoS(DIS2015)

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Production of exclusive dijets in diffractive deep inelastic e ± p scattering has been measured with the ZEUS detector at HERA using an integrated luminosity of 372 pb -1 . The measurement was performed for γ * -p centre-of-mass energies in the range 90 < W < 250 GeV and for photon virtualities Q 2 > 25 GeV 2 . Energy and transverse-energy flows around the jet axis are presented. The cross section is presented as a function of β and φ , where β = x/x IP , x is the Bjorken variable and x IP is the proton fractional longitudinal momentum loss. The angle φ is defined by the γ * -dijet plane and the γ * -e ± plane in the rest frame of the diffractive final state. The φ cross section is measured in bins of β . The results are compared to predictions from models based on different assumptions about the nature of the diffractive exchange.

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SVD approach to data unfolding

Cited by 556 publications

References 2 publications

Measurement of the hadronic form factor inD0→K−e+νedecays

Measurement of the hadronic form factor inD0→K−e+νedecays

Minimum bias charged jet spectra in proton-lead collisions at Alice

Production of exclusive dijets in diffractive deep inelastic scattering at HERA

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