1,744,608 research outputs found
cta-observatory/ctaplot: v0.6
No full textThe main API change in this release is the support of astropy units.
What's Changed
Update README.rst by @vuillaut in https://github.com/cta-observatory/ctaplot/pull/144
Add codemeta.json by @vuillaut in https://github.com/cta-observatory/ctaplot/pull/145
tweak github ci by @vuillaut in https://github.com/cta-observatory/ctaplot/pull/146
Binning option by @mikael10j in https://github.com/cta-observatory/ctaplot/pull/147
fix scale issue in pe spectrum by @vuillaut in https://github.com/cta-observatory/ctaplot/pull/150
Use astropy units whenever possible by @vuillaut in https://github.com/cta-observatory/ctaplot/pull/142
just some formatting fixes with the help of sourcery by @vuillaut in https://github.com/cta-observatory/ctaplot/pull/151
remove old travis config and set CI only on PRs by @vuillaut in https://github.com/cta-observatory/ctaplot/pull/153
Gamma efficiency by @vuillaut in https://github.com/cta-observatory/ctaplot/pull/152
Precision / recall plot by @vuillaut in https://github.com/cta-observatory/ctaplot/pull/156
AUC score as a function of energy by @vuillaut in https://github.com/cta-observatory/ctaplot/pull/157
Fix reading lst dl2 files by @vuillaut in https://github.com/cta-observatory/ctaplot/pull/159
improve label formatting on gammaness efficiency plot by @vuillaut in https://github.com/cta-observatory/ctaplot/pull/155
Update gammaboard and internal data representation by @vuillaut in https://github.com/cta-observatory/ctaplot/pull/160
pypi publish on release by @vuillaut in https://github.com/cta-observatory/ctaplot/pull/161
precise data formats in doc by @vuillaut in https://github.com/cta-observatory/ctaplot/pull/163
apply sourcery for streamline code by @vuillaut in https://github.com/cta-observatory/ctaplot/pull/164
testing latest python versions by @vuillaut in https://github.com/cta-observatory/ctaplot/pull/162
Full Changelog: https://github.com/cta-observatory/ctaplot/compare/v0.5.6...v0.
The Cerenkov telescope array project status
No full textThe Cherenkov Telescope Array (CTA) represents the next generation ground-based observatory for gamma-ray astronomy at very-high energies. It will be capable of detecting gamma rays in the energy range from 20 GeV to more than 300 TeV with unprecedented precision in energy and directional reconstruction. CTA will be located in the northern hemisphere at La Palma, Spain, and in the southern hemisphere at Paranal, Chile, and will comprise more than 100 telescopes of three different types. CTA will be one of the largest astronomical infrastuctures in the world with open data access and it will address questions in astronomy, astrophysics and fundamental physics in the next decades. In this contribution we will present the status of the CTA construction, discuss the telescope prototypes, highlight the scientific perspectives and the instrument performances
Report on CTA ACTL and DATA TDR
No full textPanel Report of the Technical Design Reviews for the Array Control and Data Acquisition (ACTL) and Data Management (DATA) subprojects of the Cherenkov Telescope Array (CTA
Report on CTA ACTL and DATA TDR
No full textPanel Report of the Technical Design Reviews for the Array Control and Data Acquisition (ACTL) and Data Management (DATA) subprojects of the Cherenkov Telescope Array (CTA
Report on CTA ACTL and DATA TDR
No full textPanel Report of the Technical Design Reviews for the Array Control and Data Acquisition (ACTL) and Data Management (DATA) subprojects of the Cherenkov Telescope Array (CTA
cta-observatory/lstosa: v0.10.1
No full textWhat's Changed
Update job.py by @morcuended in https://github.com/cta-observatory/lstosa/pull/233
Full Changelog: https://github.com/cta-observatory/lstosa/compare/v0.10.0...v0.10.
Pybkgmodel - a background modelling toolbox for the CTA
No full textDespite the advancement in background rejection techniques, observation of the very-high-energy gamma-ray sky by imaging atmospheric Cherenkov telescopes (IACTs) are subject to an irreducible background from gamma-like hadron- or electron-induced air showers. The determination of this residual background is crucial for accurate spectral and spatial measurements. The Cherenkov Telescope Array (CTA) will become the next generation of IACTs. To unveil its full potential, the improved reconstruction performance of CTA needs to be coupled with a reliable background estimate across the entire field of view. This may become especially important in the case of the planned surveys of large areas of the sky. In this contribution we will present pybkgmodel, an open-source python software package developed for CTA. It aims at providing in a consistent way the various background modelling methods, based on the experience from current IACTs such as H.E.S.S, MAGIC, and VERITAS. It is designed as a toolbox allowing a user to easily choose the optimal reconstruction approach for various target regions or a combination of several algorithms. We will introduce the design of the package as well as demonstrate its functionality using data for the CTA Large-Sized Telescope prototype (LST-1). © Copyright owned by the author(s) under the terms of the Creative Commons
HAWC J2227+610: a potential PeVatron candidate for the CTA in the northern hemisphere [Elektronisk resurs]
No full textRecent observations of the gamma-ray source HAWC J2227+610 by Tibet AS+MD and LHAASO confirm the special interest of this source as a galactic PeVatron candidate in the northern hemisphere. HAWC J2227+610 emits Very High Energy (VHE) gamma-rays up to 500 TeV, from a region coincident with molecular clouds and significantly displaced from the nearby pulsar J2229+6114. Even if this morphology favours an hadronic origin, both leptonic or hadronic models can describe the current VHE gamma-ray emission. The morphology of the source is not well constrained by the present measurements and a better characterisation would greatly help the understanding of the underlying particle acceleration mechanisms. The Cherenkov Telescope Array (CTA) will be the future most sensitive Imaging Atmospheric Cherenkov Telescope and, thanks to its unprecedented angular resolution, could contribute to better constrain the nature of this source. The present work investigates the potentiality of CTA to study the morphology and the spectrum of HAWC J2227+610. For this aim, the source is simulated assuming the hadronic model proposed by the Tibet AS+MD collaboration, recently fitted on multi-wavelength data, and two spatial templates associated to the source nearby molecular clouds. Different CTA layouts and observation times are considered. A 3D map based analysis shows that CTA is able to significantly detect the extension of the source and to attribute higher detection significance to the simulated molecular cloud template compared to the alternative one. CTA data does not allow to disentangle the hadronic and the leptonic emission models. However, it permits to correctly reproduce the simulated parent proton spectrum characterized by a ∼ 500 TeV cutoff. © Copyright owned by the author(s) under the terms of the Creative Commons
Developments for coating, testing, and the alignment of CTA mirrors
No full textThe telescopes of the Cherenkov Telescope Array (CTA) will have segmented mirrors, with mirror facets of 1-2.5 m2 area. In the framework of the CTA mirror work package, the Institute for Astronomy and Astrophysics in T¨ubingen (IAAT) is participating in the developments for procedures to coat glass-substrate based mirror facets, is preparing a mirror facet test facility, and is prototyping Active Mirror Control (AMC) alignment mechanics and electronics. The developments are based upon the experiences the group has gained through its participation in the preparations for the 27 m dish of H.E.S.S. phase II. We will present the current status of our work and plans for future developments. The devices and procedures will be relevant for all classes of telescopes that will finally form CTA
Knowledge for Development
No full textMetadata only recordThis website, established by the Technical Centre for Agricultural and Rural Cooperation (CTA), serves as an open forum for professionals, stakeholders, policy makers, farmers, and researchers in the field of agriculture to share information about initiatives, studies, and results in order to facilitate collaboration concerning policy development with the greater goal of assisting the development, adaptation, and adoption of science and technology in agriculture in African, Caribbean, and Pacific nations
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