1. Update of the Offline Framework for AugerPrimeL. Nellen, Andrej Filipčič, Jon Paul Lundquist, Samo Stanič, Serguei Vorobiov, Danilo Zavrtanik, Marko Zavrtanik, Lukas Zehrer, 2022, published scientific conference contribution Abstract: Work on the Offline Framework for the Pierre Auger Observatory was
started in 2003 to create a universal framework for event
reconstruction and simulation. The development and installation of
the AugerPrime upgrade of the Pierre Auger Observatory require an
update of the Offline Framework to handle the additional detector
components and the upgraded Surface Detector Electronics.
The design of the Offline Framework proved to be sufficiently
flexible to accommodate the changes needed to be able to handle the
AugerPrime detector. This flexibility has been a goal since the
development of the code started. The framework separates data
structures from processing modules. The detector components map
directly onto data structures. It was straightforward to update or
add processing modules to handle the additional information from
the new detectors.
We will discuss the general structure of the Offline Framework,
explaining the design decisions that provided its flexibility and
point out the few of the features of the original design that
required deeper changes, which could have been avoided in
hindsight. Given the disruptive nature of the AugerPrime upgrade,
the developers decided that the update for AugerPrime was the moment
to change also the language standard for the implementation and move
to the latest version of C++, to break strict backward compatibility
eliminating deprecated interfaces, and to modernize the development
infrastructure. We will discuss the changes that were made to the
structure in general and the modules that were added to the
framework to handle the new detector components.
Keywords: Pierre Auger Observatory, AugerPrime, indirect detection, surface detection, ground array, fluorescence detection, ultra-high energy, cosmic rays, event reconstruction, simulation, software framework
Published in RUNG: 04.10.2023; Views: 2228; Downloads: 6
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2. Performance of a proposed event-type based analysis for the Cherenkov Telescope ArrayTarek Hassan, Saptashwa Bhattacharyya, Barbara MARČUN, Judit Pérez Romero, Samo Stanič, Veronika Vodeb, Serguei Vorobiov, Gabrijela Zaharijas, Marko Zavrtanik, Danilo Zavrtanik, Miha Živec, 2021, published scientific conference contribution Abstract: The Cherenkov Telescope Array (CTA) will be the next-generation observatory in the field of very-high-energy (20 GeV to 300 TeV) gamma-ray astroparticle physics. Classically, data analysis in the field maximizes sensitivity by applying quality cuts on the data acquired. These cuts, optimized using Monte Carlo simulations, select higher quality events from the initial dataset. Subsequent steps of the analysis typically use the surviving events to calculate one set of instrument response functions (IRFs). An alternative approach is the use of event types, as implemented in experiments such as the Fermi-LAT. In this approach, events are divided into sub-samples based on their reconstruction quality, and a set of IRFs is calculated for each sub-sample. The sub-samples are then combined in a joint analysis, treating them as independent observations. This leads to an improvement in performance parameters such as sensitivity, angular and energy resolution. Data loss is reduced since lower quality events are included in the analysis as well, rather than discarded. In this study, machine learning methods will be used to classify events according to their expected angular reconstruction quality. We will report the impact on CTA high-level performance when applying such an event-type classification, compared to the classical procedure.
Keywords: Cherenkov Telescope Array, very-high-energy gamma-rays, event-type based analysis
Published in RUNG: 18.09.2023; Views: 1627; Downloads: 9
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5. Reconstruction of Vertical Events Recorded by the Surface Detector of the Pierre Auger ObservatoryDaniela Mockler, Andrej Filipčič, Gašper Kukec Mezek, Samo Stanič, Marta Trini, Serguei Vorobiov, Lili Yang, Danilo Zavrtanik, Marko Zavrtanik, Lukas Zehrer, 2019, published scientific conference contribution Keywords: ultra-high energy cosmic rays (UHECRs), Pierre Auger Observatory, Auger Surface Detector, vertical UHECR events, event reconstruction
Published in RUNG: 24.07.2020; Views: 3677; Downloads: 84
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6. Search for magnetically-induced signatures in the arrival directions of ultra-high-energy cosmic rays measured at the Pierre Auger ObservatoryA. Aab, Andrej Filipčič, Gašper Kukec Mezek, Samo Stanič, Marta Trini, Serguei Vorobiov, Danilo Zavrtanik, Marko Zavrtanik, Lukas Zehrer, 2020, original scientific article Keywords: ultra-high-energy cosmic rays (UHECR), Pierre Auger Observatory, UHECR arrival directions, galactic magnetic field, UHECR event multiplets
Published in RUNG: 19.06.2020; Views: 3485; Downloads: 0
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7. Air-Shower Reconstruction at the Pierre Auger Observatory based on Deep LearningJonas Glombitza, Andrej Filipčič, Gašper Kukec Mezek, Samo Stanič, Marta Trini, Serguei Vorobiov, Lili Yang, Danilo Zavrtanik, Marko Zavrtanik, Lukas Zehrer, 2019, published scientific conference contribution Keywords: Pierre Auger Observatory, extensive air showers, event reconstruction, deep learning
Published in RUNG: 16.06.2020; Views: 3471; Downloads: 83
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8. The AMIGA underground muon detector of the Pierre Auger Observatory - performance and event reconstructionAna Martina Botti, Andrej Filipčič, Gašper Kukec Mezek, Samo Stanič, Marta Trini, Serguei Vorobiov, Lili Yang, Danilo Zavrtanik, Marko Zavrtanik, Lukas Zehrer, 2019, published scientific conference contribution Keywords: Pierre Auger Observatory, muon detector, event reconstruction
Published in RUNG: 16.06.2020; Views: 3640; Downloads: 81
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9. Exploring deep learning as an event classification method for the Cherenkov Telescope ArrayD. Nieto, Christopher Eckner, Gašper Kukec Mezek, Samo Stanič, Serguei Vorobiov, Lili Yang, Gabrijela Zaharijas, Danilo Zavrtanik, Marko Zavrtanik, 2017, published scientific conference contribution Keywords: CTA, event classification, deep learning
Published in RUNG: 16.02.2018; Views: 4309; Downloads: 148
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10. The DreamTogether Machine : The DreamTogether MachinePeter Purg, 2016, artistic performance Abstract: The DreamTogether Machine (2016) was a migrating ideation event, supported by Gruentaler9 (Teena Lange), The Space Berlin (Rawan Hourani, Issa Khatib), the IDEATE.me project (co-fin. by European Commission), inspired by the FEI "Transformation Through Innovation" conference and MyMachneGlobal;moderated by pETER Purg of University of Nova Gorica, School of Arts, on October 6, 18 - 21h, at Gruentaler9, Berlin, Germany.
A dozen of MachineDreamers -- mixed between the most propulsive innovators from the West, and the most promising young immigrants from the East -- Together drafted Machines, such as they dream of! And then, they might even come true...
The event was directly linked to the presentation of Peter Purg at the 10th FEI (Front End of Innovation) Conference in Berlin, Germany (same day 12:15 - 13:00, at which hi-profile (creative) industry representatives have chosen to take part in "The Dream Together Machine" event (same day 18:00 - 21:00).
Keywords: event, intercultural, interdisciplinary, mymachine, mymachineglobal, participative
Published in RUNG: 16.11.2016; Views: 8535; Downloads: 0 |
