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Record W3035137779

MeV Emission from Pulsar Wind Nebulae: Understanding Extreme Particle Acceleration in Highly Relativistic Outflows

2019· article· en· W3035137779 on OpenAlexaff
Joseph Gelfand, Zorawar Wadiasingh, Oleg Kargaltsev, Samar Safí-Harb, Samayra Straal, Daniel Castro, M. S. Roberts, Patrick Slane, Tea Temim, Hui Li, Silvia Zane, Harsha Blumer

Bibliographic record

VenueUCL Discovery (University College London) · 2019
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstrophysics and Cosmic Phenomena
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsPhysicsPulsarAstrophysicsCosmic rayRelativistic particleParticle accelerationNeutron starNebulaSynchrotronCosmic microwave backgroundVelaPulsar wind nebulaAstronomyStarsNuclear physicsPlasmaAnisotropyElectron
DOInot available

Abstract

fetched live from OpenAlex

The Earth is constantly bombarded from outer space by energetic particles (e.g., electrons e \n−, \npositrons e \n+, protons, nuclei; (1)). Where and how these “cosmic rays” are produced is poorly \nunderstood, with various particle types and energies likely originating from different sources. \nParticularly mysterious is the source of high-energy e \n± produced in our Galaxy, especially those \nresponsible for both the high fraction of e \n+ in the GeV cosmic ray lepton spectrum (e.g., (2)) and \nthe e \n± and observed excess of microwaves (e.g., (3)) and γ-rays (e.g., (4)) detected towards the \nGalactic center and bulge. While these particles could be evidence for exotic forms of dark matter \n(e.g., (5)), they might also be produced by “normal” astrophysical sources such as pulsars (e.g., \n(6; 7)) – the strongly magnetized, rapidly rotating neutron stars whose rotational energy powers \nan ultra-relativistic outflow (commonly referred to as a “pulsar wind”) whose interaction with the \nsurrounding medium creates a pulsar wind nebula (PWN; see (8) for a recent review). While the \ndetection of TeV emission from numerous PWNe (e.g., (9; 10)) strongly suggest they contain e \n± \nwith PeV or higher energies, how and to what energies these particles are produced is unknown, \nlet alone their dependence on the properties of the pulsar, pulsar wind, and surrounding medium. \nA major reason for this uncertainty is the lack of information concerning their MeV properties, \nsince the synchrotron emission from the highest energy e \n± peaks in this waveband. Only by \ncombining the MeV spectrum of PWNe measured by proposed missions (e.g., AMEGO (11), \nLOX) with that obtained at lower (primarily radio and X-ray) and higher (TeV) photon energies \nby current and hopefully future (e.g., SKA, ngVLA, ATHENA, AXIS, LYNX, CTA) facilities is it \npossible to measure the full spectrum of e \n± in these sources. The resultant insights into the \nunderlying acceleration mechanism would significantly impact many areas of astrophysics – from \nindirect searches for dark matter (as described above) to the origin of cosmic rays to the physics \nof relativistic outflows observed from active galactic nuclei (AGN), γ-ray bursts (GRBs), and \nsome gravitational wave (GW) events (e.g., (12)).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.193
Teacher spread0.172 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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