OPERA tau neutrino charged current interactions

AbstractThe OPERA experiment was designed to discover the vτ appearance in a vμ beam, due to neutrino oscillations. The detector, located in the underground Gran Sasso Laboratory, consisted of a nuclear photographic emulsion/lead target with a mass of about 1.25 kt, complemented by electronic detectors. It was exposed from 2008 to 2012 to the CNGS beam: an almost pure vμ beam with a baseline of 730 km, collecting a total of 1.8·1020 protons on target. The OPERA Collaboration eventually assessed the discovery of vμ→vτ oscillations with a statistical significance of 6.1 σ by observing ten vτ CC interaction candidates. These events have been published on the Open Data Portal at CERN. This paper provides a detailed description of the vτ data sample to make it usable by the whole community.

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Dataset of tau neutrino interactions recorded by the OPERA experiment

EPJ Web of Conferences ◽

10.1051/epjconf/202024508013 ◽

2020 ◽

Vol 245 ◽

pp. 08013

Author(s):

Giovanni De Lellis ◽

Sergey Dmitrievsky ◽

Giuliana Galati ◽

Artemis Lavasa ◽

Tibor Šimko ◽

...

Keyword(s):

Neutrino Oscillations ◽

Rare Events ◽

Open Data ◽

Muon Neutrinos ◽

Tau Neutrino ◽

Neutrino Interactions ◽

Visualisation Tool ◽

Data Release ◽

Data Portal

We describe the dataset of very rare events recorded by the OPERA experiment. The events represent tracks of particles associated with tau neutrino interactions coming from the transformation of muon neutrinos due to a process known as neutrino oscillations. The events have been published on the CERN Open Data Portal. We describe the dataset semantics and the interactive event display visualisation tool accompanying the data release.

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Promote Good Governance in Public Financial: The Practice of Local Budget (APBD) Transparency Through Open Data Jakarta in Jakarta Provincial Government

Jurnal Good Governance ◽

10.32834/gg.v15i1.41 ◽

2019 ◽

Vol 15 (1) ◽

Author(s):

Dodi Faedlulloh ◽

Fetty Wiyani

Keyword(s):

Public Finance ◽

Good Governance ◽

Open Data ◽

Public Trust ◽

Provincial Government ◽

Financial Governance ◽

One Stop ◽

Data Portal ◽

Data Transparency ◽

Local Budget

This paper aimed to explain public financial governance based on good governance implementation in Jakarta Provincial Government. This paper specifically discussed towards transparancy implementation of local budget (APBD) through open data portal that publishes budget data to public. In general, financial transparency through open data has met Transparency 2.0 standards, namely the existence of encompassing, one-stop, one-click budget accountability and accessibility. But there are indeed some shortcomings that are still a concern in order to continue to maintain commitment to the principle of transparency, namely by updating data through consistent data visualization.Transparency of public finance needs to continue to be developed and improved through various innovations to maintain public trust in the government.Keywords: Public Finance, Open Data, Transparency

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The major achievements of the OPERA experiment and its legacy

Modern Physics Letters A ◽

10.1142/s0217732321300044 ◽

2021 ◽

pp. 2130004

Author(s):

Giovanni De Lellis ◽

Giuliana Galati

Keyword(s):

Nuclear Emulsion ◽

Neutrino Oscillations ◽

Lead Target

The OPERA experiment was designed to discover the [Formula: see text] appearance in a pure [Formula: see text] beam, resulting from neutrino oscillations. The detector, located in the underground Gran Sasso Laboratory, consisted of an emulsion/lead target complemented by electronic detectors and was exposed, from 2008 to 2012, to the (CERN Neutrinos to Gran Sasso (CNGS)) beam, an almost pure [Formula: see text] beam with a baseline of 730 km, collecting a total of [Formula: see text] protons on target. OPERA was unique in its capability of detecting all three neutrino flavors. OPERA discovered [Formula: see text] oscillations in appearance mode with a significance of [Formula: see text]. In this review, we report the major achievements of the OPERA experiment and its legacy in the nuclear emulsion technology.

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Open Data Portal - A Technical Enabler to Drive Innovation in Namibia

2016 2nd International Conference on Open and Big Data (OBD) ◽

10.1109/obd.2016.19 ◽

2016 ◽

Cited By ~ 2

Author(s):

Lameck M. Amugongo ◽

Shawulu H. Nggada ◽

Jurgen Sieck

Keyword(s):

Open Data ◽

Data Portal

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RESOURCES PROVIDING DATA FOR MACHINE LEARNING AND TESTING ARTIFICIAL INTELLIGENCE TECHNOLOGIES

Информационные и математические технологии в науке и управлении ◽

10.38028/esi.2021.22.2.004 ◽

2021 ◽

pp. 39-52

Author(s):

Денис Валерьевич Сикулер

Keyword(s):

Artificial Intelligence ◽

Machine Learning ◽

World Bank ◽

Open Data ◽

Data Access ◽

Free Access ◽

Internet Resources ◽

Data Registry ◽

Data Portal ◽

Access To Data

В статье выполнен обзор 10 ресурсов сети Интернет, позволяющих подобрать данные для разнообразных задач, связанных с машинным обучением и искусственным интеллектом. Рассмотрены как широко известные сайты (например, Kaggle, Registry of Open Data on AWS), так и менее популярные или узкоспециализированные ресурсы (к примеру, The Big Bad NLP Database, Common Crawl). Все ресурсы предоставляют бесплатный доступ к данным, в большинстве случаев для этого даже не требуется регистрация. Для каждого ресурса указаны характеристики и особенности, касающиеся поиска и получения наборов данных. В работе представлены следующие сайты: Kaggle, Google Research, Microsoft Research Open Data, Registry of Open Data on AWS, Harvard Dataverse Repository, Zenodo, Портал открытых данных Российской Федерации, World Bank, The Big Bad NLP Database, Common Crawl. The work presents review of 10 Internet resources that can be used to find data for different tasks related to machine learning and artificial intelligence. There were examined some popular sites (like Kaggle, Registry of Open Data on AWS) and some less known and specific ones (like The Big Bad NLP Database, Common Crawl). All included resources provide free access to data. Moreover in most cases registration is not needed for data access. Main features are specified for every examined resource, including regarding data search and access. The following sites are included in the review: Kaggle, Google Research, Microsoft Research Open Data, Registry of Open Data on AWS, Harvard Dataverse Repository, Zenodo, Open Data portal of the Russian Federation, World Bank, The Big Bad NLP Database, Common Crawl.

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