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Academic literature on the topic 'CTOOLS CTA science tool'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "CTOOLS CTA science tool"

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Mestre, E., E. de Oña Wilhelmi, R. Zanin, D. F. Torres, and L. Tibaldo. "Prospects for the characterization of the VHE emission from the Crab nebula and pulsar with the Cherenkov Telescope Array." Monthly Notices of the Royal Astronomical Society 492, no. 1 (December 6, 2019): 708–18. http://dx.doi.org/10.1093/mnras/stz3421.

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ABSTRACT The Cherenkov Telescope Array (CTA) will be the next generation instrument for the very high energy gamma-ray astrophysics domain. With its enhanced sensitivity in comparison with the current facilities, CTA is expected to shed light on a varied population of sources. In particular, we will achieve a deeper knowledge of the Crab nebula and pulsar, which are the best characterized pulsar wind nebula and rotation powered pulsar, respectively. We aim at studying the capabilities of CTA regarding these objects through simulations, using the main tools currently in development for the CTA future data analysis: gammapy and ctools. We conclude that, even using conservative Instrument Response Functions, CTA will be able to resolve many uncertainties regarding the spectrum and morphology of the pulsar and its nebula. The large energy range covered by CTA will allow us to disentangle the nebula spectral shape among different hypotheses, corresponding to different underlying emitting mechanisms. In addition, resolving internal structures (smaller than ∼0.02° in size) in the nebula and unveiling their location, would provide crucial information about the propagation of particles in the magnetized medium. We used a theoretical asymmetric model to characterize the morphology of the nebula and we showed that if predictions of such morphology exist, for instance as a result of hydrodynamical or magneto-hydrodynamical simulations, it can be directly compared with CTA results. We also tested the capability of CTA to detect periodic radiation from the Crab pulsar obtaining a precise measurement of different light curves shapes.
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Mohrmann, L., A. Specovius, D. Tiziani, S. Funk, D. Malyshev, K. Nakashima, and C. van Eldik. "Validation of open-source science tools and background model construction in γ-ray astronomy." Astronomy & Astrophysics 632 (December 2019): A72. http://dx.doi.org/10.1051/0004-6361/201936452.

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In classical analyses of γ-ray data from imaging atmospheric Cherenkov telescopes (IACTs), such as the High Energy Stereoscopic System (H.E.S.S.), aperture photometry, or photon counting, is applied in a (typically circular) region of interest (RoI) encompassing the source. A key element in the analysis is to estimate the amount of background in the RoI due to residual cosmic ray-induced air showers in the data. Various standard background estimation techniques have been developed in the last decades, most of them rely on a measurement of the background from source-free regions within the observed field of view. However, in particular in the Galactic plane, source analysis and background estimation are hampered by the large number of, sometimes overlapping, γ-ray sources and large-scale diffuse γ-ray emission. For complicated fields of view, a three-dimensional (3D) likelihood analysis shows the potential to be superior to classical analysis. In this analysis technique, a spectromorphological model, consisting of one or multiple source components and a background component, is fitted to the data, resulting in a complete spectral and spatial description of the field of view. For the application to IACT data, the major challenge of such an approach is the construction of a robust background model. In this work, we apply the 3D likelihood analysis to various test data recently made public by the H.E.S.S. collaboration, using the open analysis frameworks ctools and Gammapy. First, we show that, when using these tools in a classical analysis approach and comparing to the proprietary H.E.S.S. analysis framework, virtually identical high-level analysis results, such as field-of-view maps and spectra, are obtained. We then describe the construction of a generic background model from data of H.E.S.S. observations, and demonstrate that a 3D likelihood analysis using this background model yields high-level analysis results that are highly compatible with those obtained from the classical analyses. This validation of the 3D likelihood analysis approach on experimental data is an important step towards using this method for IACT data analysis, and in particular for the analysis of data from the upcoming Cherenkov Telescope Array (CTA).
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Knödlseder, J., L. Tibaldo, D. Tiziani, A. Specovius, J. Cardenzana, M. Mayer, N. Kelley-Hoskins, et al. "Analysis of the H.E.S.S. public data release with ctools." Astronomy & Astrophysics 632 (December 2019): A102. http://dx.doi.org/10.1051/0004-6361/201936010.

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The ctools open-source software package was developed for the scientific analysis of astronomical data from Imaging Air Cherenkov Telescopes (IACTs), such as H.E.S.S., VERITAS, MAGIC, and the future Cherenkov Telescope Array (CTA). To date, the software has been mainly tested using simulated CTA data; however, upon the public release of a small set of H.E.S.S. observations of the Crab nebula, MSH 15–52, RX J1713.7–3946, and PKS 2155–304 validation using real data is now possible. We analysed the data of the H.E.S.S. public data release using ctools version 1.6 and compared our results to those published by the H.E.S.S. Collaboration for the respective sources. We developed a parametric background model that satisfactorily describes the expected background rate as a function of reconstructed energy and direction for each observation. We used that model, and tested all analysis methods that are supported by ctools, including novel unbinned and joint or stacked binned analyses of the measured event energies and reconstructed directions, and classical On-Off analysis methods that are comparable to those used by the H.E.S.S. Collaboration. For all analysis methods, we found a good agreement between the ctools results and the H.E.S.S. Collaboration publications considering that they are not always directly comparable due to differences in the datatsets and event processing software. We also performed a joint analysis of H.E.S.S. and Fermi-LAT data of the Crab nebula, illustrating the multi-wavelength capacity of ctools. The joint Crab nebula spectrum is compatible with published literature values within the systematic uncertainties. We conclude that the ctools software is mature for the analysis of data from existing IACTs, as well as from the upcoming CTA.
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López, P., D. L. Vilariño, V. M. Brea, and D. Cabello. "Robustness oriented design tool for multilayer DTCNN applications." International Journal of Circuit Theory and Applications 30, no. 2-3 (2002): 195–210. http://dx.doi.org/10.1002/cta.196.

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Begum, Tabassum, Zubair Janan Orakzai, Mohsin Khan, Bakht Rokhan, Ayesha Kamran, and Muhammad Numan Akram. "Diagnostic Accuracy of Three Dimentional Digital Substraction Angiography (3D DSA) in Correlation with Computed Tomographic Angiography (CTA) and Magnetic Resonance Angiography (MRA) in Evaluation of Aneurysmal Subarachnoid Haemorrhage." Pakistan Journal of Medical and Health Sciences 16, no. 5 (May 30, 2022): 1509–12. http://dx.doi.org/10.53350/pjmhs221651509.

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Background: Subarachnoid hemorrhage is cause by ruptured aneurysms. Early diagnosis is necessary for prevention of the disease. For detection of size and location of intracranial aneurysms in aneurysmal subarachnoid haemorrhage different diagnostic tool are used. The 3D DSA imaging modalities parameters were considered as gold standard in diagnosis of aneurysms. MRA and CTA competencies in diagnosis of ruptured aneurysms were also evaluated. Objective: The aim of the study was to evaluate the sensitivity of 3D DSA, CTA and MRA in diagnosis of intracranial aneurysms in referred patients. The imaging modalities parameters of 3D DSA was considered as gold standard. Study design: It was retrospective observational study with statistical approach. Methods: The 27 consecutive patients of subarachnoid haemorrhage visited the neurology and radiology department of BKMC / MMC Mardan from August 2021 to January 2022 was included in the study. All the patients passed the inclusion criteria while those who are reluctant to undergo through CTA, MRA were excluded. The three dimensional constructed images of each patient underwent through CTA, MRA and 3D DSA were recorded. The obtained data was analyzed for the results. Results: CTA and MRA has variable sensitivity range in diagnosis of intracranial aneurysms. It varied according to the size of aneurysms. For the diagnosis of small sized aneurysms the CTA and MRA has the sensitivity of 57.1 %, while it changes to 88.8 % in diagnosis of medium sized aneurysms. For diagnosis of large sized aneurysms, the CTA and MRA has same sensitivity of 100%. Hence for the detection of small and medium sized aneurysms the sensitivity of CTA and MRA reduced to 20% as compared to the sensitivity of 3D DSA. Conclusion: It was concluded from the results that the 3D DSA is most accurate tool with higher sensitivity for diagnosis of intracranial aneurysms in patients of subarachnoid haemorrhage. The results obtained by using 3D DSA are 20% more sensitive than the results obtained by using CTA and MRA. Keywords: (SAH) Subarachnoid hemorrhage, CTA) Computed Tomographic Angiography, (MRA) Magnetic Resonance Angiography.
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Whalley, R., S. El-Shalabi, M. Ebrahimi, and A. Abdul-Ameer. "Adaptive machine tool system regulation." IET Control Theory & Applications 3, no. 1 (January 1, 2009): 33–48. http://dx.doi.org/10.1049/iet-cta:20080104.

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Dorel, F., and M. Declercq. "A prototype tool for the design-oriented symbolic analysis of analogue circuits." International Journal of Circuit Theory and Applications 20, no. 3 (May 1992): 257–66. http://dx.doi.org/10.1002/cta.4490200305.

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Schwarz, Gerhard, Maximilian Errath, Placido Argüelles Delgado, Ulrike Wießpeiner, Henrika Voit-Augustin, Robert Grims, Friedrich Kaltenböck, Eva Maria Kober, Andreas Schöpfer, and Gottfried Fuchs. "Computed Tomography Angiography (CTA) in Selected Scenarios with Risk of Possible False-Positive or False-Negative Conclusions in Diagnosing Brain Death." Life 12, no. 10 (October 6, 2022): 1551. http://dx.doi.org/10.3390/life12101551.

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It is widely accepted that brain death (BD) is a diagnosis based on clinical examination. However, false-positive and false-negative evaluation results may be serious limitations. Ancillary tests are used when there is uncertainty about the reliability of the neurologic examination. Computed tomography angiography (CTA) is an ancillary test that tends to have the lowest false-positive rates. However, there are various influencing factors that can have an unfavorable effect on the validity of the examination method. There are inconsistent protocols regarding the evaluation criteria such as scoring systems. Among the most widely used different scoring systems the 4-point CTA-scoring system has been accepted as the most reliable method. Appropriate timing and/or Doppler pre-testing could reduce the number of possible premature examinations and increase the sensitivity of CTA in diagnosing cerebral circulatory arrest (CCA). In some cases of inconclusive CTA, the whole brain computed tomography perfusion (CTP) could be a crucial adjunct. Due to the increasing significance of CTA/CTP in determining BD, the methodology (including benefits and limitations) should also be conveyed via innovative electronic training tools, such as the BRAINDEXweb teaching tool based on an expert system.
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Brachtendorf, H. G., G. Welsch, and R. Laur. "A simulation tool for the analysis and verification of the steady state of circuit designs." International Journal of Circuit Theory and Applications 23, no. 4 (July 1995): 311–23. http://dx.doi.org/10.1002/cta.4490230406.

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Matsuda, T., and T. Mori. "Stability Feeler: a tool for parametric robust stability analysis and its applications." IET Control Theory & Applications 3, no. 12 (December 1, 2009): 1625–33. http://dx.doi.org/10.1049/iet-cta.2008.0462.

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Book chapters on the topic "CTOOLS CTA science tool"

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Ogoh, George, Simisola Akintoye, Damian Okaibedi Eke, Tonii Leach, Paschal Ochang, Adebowale Owoseni, Oluyinka Oyeniji, and Bernd Carsten Stahl. "Contact Tracing Apps for the COVID-19 Pandemic: A Responsible Innovation Perspective." In Philosophy of Engineering and Technology, 75–95. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08424-9_4.

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AbstractThe COVID-19 pandemic has brought about the first real opportunity to test the efficacy of the Responsible Research and Innovation framework or RRI in a global health crisis. This is in view of the bold new approaches to health research and innovation that the pandemic has paved the way for. One such approach is the digital contact tracing application (CTA). Although contact tracing has been a fundamental part of infectious disease control for decades, this is the first time this technique has been used in mobile applications. Based on a Multivocal Literature Review, the development of CTAs in four countries – France, Germany, Spain, and the UK – was assessed to understand what dimensions of RRI can be identified in the governments’ response to COVID-19. This chapter shows that although from 2011, RRI has been promoted as a governance approach for increasing societal desirability of the processes and products of science and technology, very little is known about how the framework may be applied in a health crisis. Notwithstanding that RRI was not explicitly referenced during the development of CTAs in France, the UK, Spain, and Germany, the analysis has identified some interesting linkage to this framework. It shows that while no RRI approach was explicitly embraced by these governments, some key components were present – even though inadequately. It also indicates that, while it is challenging to apply RRI in crises, there is value in using it as an analytical tool for techno-social responses in situations, like those created by the COVID-19 health crisis.
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