activity
20182022
most citedTransition between Instability and Seeded Self-Modulation of a Relativistic Particle Bunch in Plasma

35 citations · 105 across the 11 of their papers we have counts for

collaborators

12 papers

physics.acc-ph2022★ 1 cited

The AWAKE Run 2 programme and beyond

Edda Gschwendtner, Konstantin Lotov, Patric Muggli +99

Plasma wakefield acceleration is a promising technology to reduce the size of particle accelerators. Use of high energy protons to drive wakefields in plasma has been demonstrated…

physics.plasm-ph2022★ 29 cited

Controlled Growth of the Self-Modulation of a Relativistic Proton Bunch in Plasma

L. Verra

A long, narrow, relativistic charged particle bunch propagating in plasma is subject to the self-modulation (SM) instability. We show that SM of a proton bunch can be seeded by the…

physics.acc-ph2021

Analysis of Proton Bunch Parameters in the AWAKE Experiment

V. Hafych, A. Caldwell, R. Agnello +85

A precise characterization of the incoming proton bunch parameters is required to accurately simulate the self-modulation process in the Advanced Wakefield Experiment (AWAKE). This…

physics.plasm-ph2021

Simulation and Experimental Study of Proton Bunch Self-Modulation in Plasma with Linear Density Gradients

P. I. Morales Guzmán, P. Muggli, R. Agnello +88

We present numerical simulations and experimental results of the self-modulation of a long proton bunch in a plasma with linear density gradients along the beam path. Simulation re…

physics.plasm-ph2020★ 35 cited

Transition between Instability and Seeded Self-Modulation of a Relativistic Particle Bunch in Plasma

F. Batsch, P. Muggli, R. Agnello +94

We use a relativistic ionization front to provide various initial transverse wakefield amplitudes for the self-modulation of a long proton bunch in plasma. We show experimentally t…

physics.plasm-ph2020★ 4 cited

Experimental study of extended timescale dynamics of a plasma wakefield driven by a self-modulated proton bunch

J. Chappell, E. Adli, R. Agnello +96

Plasma wakefield dynamics over timescales up to 800 ps, approximately 100 plasma periods, are studied experimentally at the Advanced Wakefield Experiment (AWAKE). The development o…

physics.acc-ph2020★ 1 cited

Proton beam defocusing in AWAKE: comparison of simulations and measurements

A. A. Gorn, M. Turner, E. Adli +96

In 2017, AWAKE demonstrated the seeded self-modulation (SSM) of a 400 GeV proton beam from the Super Proton Synchrotron (SPS) at CERN. The angular distribution of the protons defle…

stat.CO2020

Parallelizing MCMC Sampling via Space Partitioning

Vasyl Hafych, Philipp Eller, Oliver Schulz +1

Efficient sampling of many-dimensional and multimodal density functions is a task of great interest in many research fields. We describe an algorithm that allows parallelizing inhe…

physics.plasm-ph2020★ 17 cited

Proton Bunch Self-Modulation in Plasma with Density Gradient

F. Braunmüller, T. Nechaeva, AWAKE Collboration

We study experimentally the effect of linear plasma density gradients on the self-modulation of a 400\,GeV proton bunch. Results show that a positive/negative gradient in/decreases…

q-bio.PE2020★ 3 cited

Infections and Identified Cases of COVID-19 from Random Testing Data

Allen Caldwell, Vasyl Hafych, Oliver SChulz +1

There are many hard-to-reconcile numbers circulating concerning Covid-19. Using reports from random testing, the fatality ratio per infection is evaluated and used to extract furth…

physics.acc-ph2020★ 15 cited

Experimental Study of Wakefields Driven by a Self-Modulating Proton Bunch in Plasma

M. Turner, P. Muggli, the AWAKE Collaboration

We study experimentally the longitudinal and transverse wakefields driven by a highly relativistic proton bunch during self-modulation in plasma. We show that the wakefields' growt…

physics.data-an2018

Integration with an Adaptive Harmonic Mean Algorithm

Allen Caldwell, Philipp Eller, Vasyl Hafych +3

Numerically estimating the integral of functions in high dimensional spaces is a non-trivial task. A oft-encountered example is the calculation of the marginal likelihood in Bayesi…