Positron annihilation in flight

Jones, Goronwy Tudor

doi:10.1088/0031-9120/34/5/302

Cited by 6 publications

(5 citation statements)

References 7 publications

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“…Similar demonstrations and a good amount of background material can be found in [3] and [4] and can be useful to complete our own explanation.…”

Section: The Initial Collisionsupporting

confidence: 52%

A bubble chamber simulator: a new tool for the physics classroom

Gagnon¹

2011

Phys. Educ.

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Mainly used in the 1960s, bubble chambers played a major role in particle physics. Now replaced with modern electronic detectors, we believe they remain an important didactic tool to introduce particle physics as they provide visual, appealing and insightful pictures. Sadly, this rare type of detector is mostly accessible through open-door events only. To overcome this drawback, we have developed a realistic computer-based simulator to replicate the actual equipment. Using this software, students and instructors are able to obtain randomly created computer-simulated images comparable to real-life ones. We have successfully used this software in our mechanics, electromagnetism and modern physics courses to illustrate the effect of a magnetic field on charged particles, to exemplify relativistic mechanics and to discuss the conservation of energy, momentum and quantum numbers in particle collisions. It also provides original examples for students to practise their ability to identify the particles involved, thereby gaining a better understanding of the underlying physical laws. The software is available as a free download.

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“…Similar demonstrations and a good amount of background material can be found in [3] and [4] and can be useful to complete our own explanation.…”

Section: The Initial Collisionsupporting

confidence: 52%

A bubble chamber simulator: a new tool for the physics classroom

Gagnon¹

2011

Phys. Educ.

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“…The first important discrimination 2This process occurs even if the progenitor is not a massive particle but a ray of light. The quantum effect responsible for this phenomenon is known as pair production [17].…”

Section: Image Discriminationmentioning

confidence: 99%

An engaging solution for the outreach of cosmic-rays science? The innovative “Flashes” web-game!

Iovenitti¹,

Orsenigo²,

Fernández-Barral³

et al. 2023

Proceedings of 38th International Cosmic Ray Conference — PoS(ICRC2023)

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Introducing cosmic-ray science to the general public is a challenging task. In particular, the operating principles of Imaging Atmospheric Cherenkov Telescopes (IACTs) may result confusing and puzzling to students who wonder why these huge optical instruments cannot take beautiful images of astronomical sources. To overcome this issue and learn about IACT astronomy, we propose an innovative solution which is particularly modern and engaging: "Flashes", an educational game on a web application developed ad-hoc by the cultural association PhysicalPub. "Flashes" is based on the physics behind the Cherenkov technique. Atmospheric flashes recorded by IACTs have different shapes depending on their source: hadron, gamma, muon or "else" (car flashes, sky background, electronic noise, and others). In our game, the player is presented with Cherenkov images from real scientific data and simulations, and must classify them according to their origin, trying to mimic the real image discrimination analysis. The game is divided into several sessions, each dedicated to one IACT among the main ones currently in operation: ASTRI-Horn, MAGIC, and LST-1 (Large-Sized Telescope prototype for the CTAO). In every session, the player has one minute to recognize the highest number of images and get the highest score. Several topics related to science education are involved, such as critical thinking, artificial intelligence, and uncertainty of science. "Flashes" supports multiple-player sessions and includes an introduction that educators may use for preparatory explanations. "Flashes" is accessible using a URL from any internet-connected personal device. It is completely free and does not require any account.

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“…a (5) = tanh(θ (5) a (2) + b (5) ), a (6) = tanh(θ (6) a (2) + b (6) ), a (7) = tanh(θ (7) a (3) + b (7) ), a (8) = tanh(θ (8) a (4) + b (8) ), a (9) = tanh(θ (9) a (5) + b (9) ), a (10) = tanh(θ (10) a (6) + b (10) ), S E1 = a (7) , S E2 = a (8) , S Γ1 = a (9) , S Γ2 = a (10) , (13) with dimensions of above vectors being…”

Section: The Modelsmentioning

confidence: 99%

“…The experimental GDR data have been measured in various types of experiments, namely, photonuclear experiments [8] with photons from bremsstrahlung radiation [9], positron annihilation in flight [10], and more recently laser Compton scattering (LCS) [11,12], as well as (p, p ) reaction [13], and so on. The experimental GDR data can be fitted using the Lorentzian curve, from which the key GDR parameters that consist of the resonance energy E and shape width Γ can be derived.…”

Section: Introductionmentioning

confidence: 99%

The description of giant dipole resonance key parameters with multitask neural networks

Bai,

Niu,

Sun

et al. 2021

Preprint

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Giant dipole resonance (GDR) is one of the fundamental collective excitation modes in nucleus. Continuous efforts have been made to the evaluation of GDR key parameters in different nuclear data libraries. We introduced multitask learning (MTL) approach to learn and reproduce the evaluated experimental data of GDR key parameters, including both GDR energies and widths. Compared to the theoretical GDR parameters in RIPL-3 library, the accuracies of MTL approach are almost doubled for 129 nuclei with experimental data. The significant improvement is largely due to the right classification of unimodal nuclei and bimodal nuclei by the classification neural network. Based on the good performance of the neural network approach, an extrapolation to 79 nuclei around the β-stability line without experimental data is made, which provides an important reference to future experiments and data evaluations. The successful application of MTL approach in this work further proofs the feasibility of studying multi-output physical problems with multitask neural network in nuclear physics domain.

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Positron annihilation in flight

Cited by 6 publications

References 7 publications

A bubble chamber simulator: a new tool for the physics classroom

A bubble chamber simulator: a new tool for the physics classroom

An engaging solution for the outreach of cosmic-rays science? The innovative “Flashes” web-game!

The description of giant dipole resonance key parameters with multitask neural networks

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