Improved modeling of in-ice particle showers for IceCube event reconstruction

Journal of Instrumentation IOP Publishing 19:06 (2024) P06026

Authors:

R Abbasi, M Ackermann, J Adams, SK Agarwalla, JA Aguilar, M Ahlers, JM Alameddine, NM Amin, K Andeen, G Anton, C Argüelles, Y Ashida, S Athanasiadou, L Ausborm, SN Axani, X Bai, A Balagopal V., M Baricevic, SW Barwick, S Bash, V Basu, R Bay, JJ Beatty, J Becker Tjus

Abstract:

The IceCube Neutrino Observatory relies on an array of photomultiplier tubes to detect Cherenkov light produced by charged particles in the South Pole ice. IceCube data analyses depend on an in-depth characterization of the glacial ice, and on novel approaches in event reconstruction that utilize fast approximations of photoelectron yields. Here, a more accurate model is derived for event reconstruction that better captures our current knowledge of ice optical properties. When evaluated on a Monte Carlo simulation set, the median angular resolution for in-ice particle showers improves by over a factor of three compared to a reconstruction based on a simplified model of the ice. The most substantial improvement is obtained when including effects of birefringence due to the polycrystalline structure of the ice. When evaluated on data classified as particle showers in the high-energy starting events sample, a significantly improved description of the events is observed.

Citizen science for IceCube: Name that Neutrino

European Physical Journal Plus Springer 139:6 (2024) 533

Authors:

R Abbasi, M Ackermann, J Adams, SK Agarwalla, JA Aguilar, M Ahlers, JM Alameddine, NM Amin, K Andeen, G Anton, C Argüelles, Y Ashida, S Athanasiadou, L Ausborm, SN Axani, X Bai, A Balagopal V., M Baricevic, SW Barwick, V Basu, R Bay, JJ Beatty, J Becker Tjus, J Beise

Abstract:

Name that Neutrino is a citizen science project where volunteers aid in classification of events for the IceCube Neutrino Observatory, an immense particle detector at the geographic South Pole. From March 2023 to September 2023, volunteers did classifications of videos produced from simulated data of both neutrino signal and background interactions. Name that Neutrino obtained more than 128,000 classifications by over 1800 registered volunteers that were compared to results obtained by a deep neural network machine-learning algorithm. Possible improvements for both Name that Neutrino and the deep neural network are discussed.

Cohomology Chambers on Complex Surfaces and Elliptically Fibered Calabi–Yau Three-Folds

Communications in Mathematical Physics Springer 405:7 (2024) 151

Authors:

Callum R Brodie, Andrei Constantin

Abstract:

We determine several classes of smooth complex projective surfaces on which Zariski decomposition can be combined with vanishing theorems to yield cohomology formulae for all line bundles. The obtained formulae express cohomologies in terms of divisor class intersections, and are adapted to the decomposition of the effective cone into Zariski chambers. In particular, we show this occurs on generalised del Pezzo surfaces, toric surfaces, and K3 surfaces. In the second part we use these surface results to derive formulae for all line bundle cohomology on a simple class of elliptically fibered Calabi–Yau three-folds. Computing such quantities is a crucial step in deriving the massless spectrum in string compactifications.

Percolating Cosmic String Networks from Kination

ArXiv 2406.12637 (2024)

Authors:

Joseph P Conlon, Edmund J Copeland, Edward Hardy, Noelia Sánchez González

Laboratory realization of relativistic pair-plasma beams

Nature Communications Springer Nature 15:1 (2024) 5029

Authors:

CD Arrowsmith, P Simon, PJ Bilbao, Archie FA Bott, S Burger, H Chen, FD Cruz, T Davenne, I Efthymiopoulos, DH Froula, A Goillot, JT Gudmundsson, D Haberberger, Jonathan WD Halliday, Thomas Hodge, Brian T Huffman, Sam Iaquinta, Francesco Miniati, B Reville, Subir Sarkar, Alexander Schekochihin, LO Silva, R Simpson, Vasiliki Stergiou, RMGM Trines, N Charitonidis, R Bingham, Gianluca Gregori

Abstract:

Relativistic electron-positron plasmas are ubiquitous in extreme astrophysical environments such as black-hole and neutron-star magnetospheres, where accretion-powered jets and pulsar winds are expected to be enriched with electron-positron pairs. Their role in the dynamics of such environments is in many cases believed to be fundamental, but their behavior differs significantly from typical electron-ion plasmas due to the matter-antimatter symmetry of the charged components. So far, our experimental inability to produce large yields of positrons in quasi-neutral beams has restricted the understanding of electron-positron pair plasmas to simple numerical and analytical studies, which are rather limited. We present the first experimental results confirming the generation of high-density, quasi-neutral, relativistic electron-positron pair beams using the 440 GeV/c beam at CERN’s Super Proton Synchrotron (SPS) accelerator. Monte Carlo simulations agree well with the experimental data and show that the characteristic scales necessary for collective plasma behavior, such as the Debye length and the collisionless skin depth, are exceeded by the measured size of the produced pair beams. Our work opens up the possibility of directly probing the microphysics of pair plasmas beyond quasi-linear evolution into regimes that are challenging to simulate or measure via astronomical observations.