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In order to enable an iCal export link, your account needs to have a key created. This key enables other applications to access data from within Indico even when you are neither using nor logged into the Indico system yourself with the link provided. Once created, you can manage your key at any time by going to 'My Profile' and looking under the tab entitled 'HTTP API'. Further information about HTTP API keys can be found in the Indico documentation.
I have read and understood the above.
In conjunction with a having a key associated with your account, to have the possibility of exporting private event information necessitates the creation of a persistent key. This new key is also associated with your account and whilst it is active the data which can be obtained through using this key can be obtained by anyone in possession of the link provided. Due to this reason, it is extremely important that you keep links generated with this key private and for your use only. If you think someone else may have acquired access to a link using this key in the future, you must immediately remove it from 'My Profile' under the 'HTTP API' tab and generate a new key before regenerating iCalendar links.
I have read and understood the above.
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Instrumentation, computational and accelerators physics
Date:
12 May 15:15 - 16:06
Conveners
Prof. Pedraza, Isabel (Universidad Autónoma de Puebla)
Nuclear reactors offer a great opportunity to study neutrinos due to their high antineutrino flux, but their detection through coherent elastic neutrino-nucleus scattering (CEvNS) is challenging given the need for sub-keV thresholds and great background identification.
In this talk we will discuss the physics potential of a liquid argon bubble chamber, a novel CEvNS reactor detector currently u
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Presented by Dr. Luis FLORES
on
12/5/2021
at
20:32
References
[1] First liquid argon test of the X-ARAPUCA, E. Segreto et al 2020 JINST 15 C05045
[2] Volume IV. The DUNE far detector single-phase technology, B. Abi et al 2020 JINST 15 T08010
Presented by Marco Alberto AYALA TORRES
on
12/5/2021
at
15:15
- Brief introduction to amplitude analysis.
- Introduction to TensorFlow [[1]] and its use as a compute engine for High Energy Phyiscs.
- Implementation of amplitude analysis using TensorFlow.
- Multi-dimensional density estimation using artificial neural networks and its application in the description of efficiency corrections and background contributions in amplitude analysis. [[arXiv:1902.01
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Presented by Mr. Raul Iraq RABADAN TREJO
on
12/5/2021
at
20:49