DsTau: study of tau neutrino production with 400 GeV protons from the CERN-SPS

Aoki, Shigeki; Ariga, A.; Ariga, T.; Dmitrievsky, Sergey; Firu, Elena; Forshaw, D. C.; Fukuda, Tsutomu; Gornushkin, Y.; Guler, A. M.; Haiduc, M.; Kodama, K.; Komatsu, M.; Korkmaz, M. A.; Köse, U.; Miloi, Mădălina Mihaela; Miucci, A.; Miyanishi, M.; Nakamura, Mitsuhiro; Nakano, T.; Neagu, Alina Tania; Rokujo, H.; Sato, Osamu; Sitnikova, Elizaveta; Suzuki, Yosuke; Takao, T.; Vasina, S.; Vladymyrov, Mykhailo; Weston, T. D.; Yoshida, Junya; Yoshimoto, Masahiro

doi:10.1007/jhep01(2020)033

Cited by 54 publications

(55 citation statements)

References 45 publications

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“…Combining mass, scale factor and other uncertainties leads to a lower value of 134 events and an upper value of 378 events, as summarized in table 3. The wide range of perturbative QCD predictions for the number of tau neutrino events for η ν > 5.3, here estimated to be a factor of 2.8, emphasizes the importance of additional experimental measurements of charm productions, for example, with the proposed DsTau experiment [31].…”

Section: Discussionmentioning

confidence: 88%

“…Since we are interested in the neutrino and antineutrino energy distributions, most of the figures in this section display the charm hadron energy distributions to show the impact of elements of the calculation that will eventually translate to the lepton energy distributions. They also serve as a reference for measurements of charm hadron production, e.g., the DsTau project [31]. Fig.…”

Section: Charm Hadron Productionmentioning

confidence: 99%

“…We show energy and rapidity distributions of charm hadrons to illustrate some of the features of charm production that translate through charm hadron decays to the neutrino energy and pseudorapidity distributions, at least approximately. Efforts to measure production of charm hadrons with the 400 GeV beam at CERN, e.g., the DsTau project [31], would help refine the perturbative calculation of the neutrino flux and constrain forward production of charm hadrons from intrinsic charm directly.…”

Section: Introductionmentioning

confidence: 99%

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Prompt neutrinos and intrinsic charm at SHiP

Bai

Reno

2019

J. High Energ. Phys.

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We present a new evaluation of the far-forward neutrino plus antineutrino flux and number of events from charm hadron decays in a 400 GeV proton beam dump experiment like the Search for Hidden Particles (SHiP). Using next-to-leading order perturbative QCD and a model for intrinsic charm, we include intrinsic transverse momentum effects and other kinematic angular corrections. We compare this flux to a far-forward flux evaluated with next-to-leading order perturbative QCD, without intrinsic transverse momentum, that used the angular distribution of charm quarks rather than the neutrinos from their decays. The tau neutrino plus antineutrino number of events in the perturbative QCD evaluation is reduced by a factor of about three when intrinsic transverse momentum and the full decay kinematics are included. We show that intrinsic charm contributions can significantly enhance the number of events from neutrinos from charm hadron decays. Measurements of the number of events from tau neutrino plus antineutrino interactions and of the muon charge asymmetry as a function of energy can be used to constrain intrinsic charm models.

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Section: Discussionmentioning

confidence: 88%

Section: Charm Hadron Productionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Prompt neutrinos and intrinsic charm at SHiP

Bai

Reno

2019

J. High Energ. Phys.

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“…Emulsion detectors have been successfully employed by several neutrino experiments such as CHORUS [83], DONuT [40], and OPERA [45,[84][85][86]. The same technique has also been used in hadron experiments, e.g., WA75 [87] and E653 [88] for beauty particle studies, and recently DsTau [89,90] for charmed particle measurements.…”

Section: Detector Designmentioning

confidence: 99%

Detecting and studying high-energy collider neutrinos with FASER at the LHC

et al. 2020

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Neutrinos are copiously produced at particle colliders, but no collider neutrino has ever been detected. Colliders produce both neutrinos and anti-neutrinos of all flavors at very high energies, and they are therefore highly complementary to those from other sources. FASER, the Forward Search Experiment at the LHC, is ideally located to provide the first detection and study of collider neutrinos. We investigate the prospects for neutrino studies with FASERν, a proposed component of FASER, consisting of emulsion films B. Denton and Callum Wilkinson: FASER Associate.

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“…Finally, we processed a real emulsion dataset to observe AT+TI model performance in a real-life application. We used a single image out of 3D tomographic image stack of size 640 × 512 pixels corresponding to 190 × 150 µm of emulsion detector area, irradiated with 400 GeV protons at different angles at the SPS accelerator at CERN [21]. We preprocess Figure 7: Tracking precision and efficiency as function of number of tracks in the image for the three models.…”

Section: Performance Of the Track Parameters' Measurementmentioning

confidence: 99%

Novel tracking approach based on fully-unsupervised disentanglement of the geometrical factors of variation

Vladymyrov

Ariga

2020

J. Inst.

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Efficient tracking algorithm is a crucial part of particle tracking detectors. While big work was done in designing plethora of various algorithms, they usually require tedious tuning for each use case. (Weakly) supervised Machine Learning-based approaches can leverage the actual raw data for maximal performance. Yet in realistic scenarios sufficient high-quality labeled data is not available. While sometimes training can be performed on simulated data, often appropriate simulation of detector noise is impossible, compromising this approach. Here we propose a novel fully unsupervised approach to track reconstruction. The introduced model for learning to disentangle the factors of variation in a geometrically meaningful way employs geometrical space invariances. We train it through constraints on the equivariance between the image space and the latent representation in a Deep Convolutional Autoencoder. Using experimental results on synthetic data we show requirement of the variety of the space transformations for meaningful disentanglement of factors of variation. We also demonstrate performance of our model on real data from tracking detectors.

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DsTau: study of tau neutrino production with 400 GeV protons from the CERN-SPS

Cited by 54 publications

References 45 publications

Prompt neutrinos and intrinsic charm at SHiP

Prompt neutrinos and intrinsic charm at SHiP

Detecting and studying high-energy collider neutrinos with FASER at the LHC

Novel tracking approach based on fully-unsupervised disentanglement of the geometrical factors of variation

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