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Record W4304694332 · doi:10.3847/1538-4357/ac8b7b

X-Ray Polarization Detection of Cassiopeia A with IXPE

2022· article· en· W4304694332 on OpenAlexaff
Jacco Vink, Д. А. Прохоров, Riccardo Ferrazzoli, Patrick Slane, Ping Zhou, Kazunori Asakura, L. Baldini, N. Bucciantini, E. Costa, Alessandro Di Marco, Jeremy Heyl, Frédéric Marin, Tsunefumi Mizuno, C.‐Y. Ng, M. Pesce-Rollins, Brian D. Ramsey, John Rankin, Ajay Ratheesh, C. Sgró, P. Soffitta, Douglas A. Swartz, Toru Tamagawa, Martin C. Weisskopf, Yi-Jung Yang, R. Bellazzini, R. Bonino, E. Cavazzuti, L. Costamante, Niccolò Di Lalla, L. Latronico, S. Maldera, Alberto Manfreda, F. Massaro, Ikuyuki Mitsuishi, N. Omodei, C. Oppedisano, Silvia Zane, I. Agudo, L. A. Antonelli, Matteo Bachetti, W. H. Baumgartner, S. Bianchi, Stephen D. Bongiorno, A. Brez, Fiamma Capitanio, Simone Castellano, S. Ciprini, Alessandra De Rosa, E. Del Monte, Laura Di Gesu, I. Donnarumma, Victor Doroshenko, Michal Dovčiak, Steven R. Ehlert, Teruaki Enoto, Y. Evangelista, Sergio Fabiani, Javier A. García, Shuichi Gunji, Kiyoshi Hayashida, W. Iwakiri, Svetlana G. Jorstad, V. Karas, Takao Kitaguchi, Jeffery J. Kolodziejczak, H. Krawczynski, Fabio La Monaca, Ioannis Liodakis, Andrea Marinucci, Alan P. Marscher, Herman L. Marshall, G. Matt, Fabio Muleri, Stephen L. O’Dell, Alessandro Papitto, George G. Pavlov, Abel L. Peirson, M. Perri, M. Pilia, Andrea Possenti, Juri Poutanen, Simonetta Puccetti, Roger W. Romani, G. Spandre, F. Tavecchio, Roberto Taverna, Yuzuru Tawara, Allyn F. Tennant, Nicolas E. Thomas, Francesco Tombesi, A. Trois, Sergey S. Tsygankov, Kinwah Wu, Fei Xie

Bibliographic record

VenueThe Astrophysical Journal · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstrophysics and Cosmic Phenomena
Canadian institutionsUniversity of British Columbia
FundersHorizon 2020 Framework Programme
KeywordsPhysicsPolarization (electrochemistry)Cassiopeia AAstrophysicsMagnetic fieldPolarimetrySynchrotron radiationSupernova remnantSpectral indexDegree of polarizationCircular polarizationSupernovaOpticsScatteringAstronomySpectral line

Abstract

fetched live from OpenAlex

Abstract We report on a ∼5 σ detection of polarized 3–6 keV X-ray emission from the supernova remnant Cassiopeia A (Cas A) with the Imaging X-ray Polarimetry Explorer (IXPE). The overall polarization degree of 1.8% ± 0.3% is detected by summing over a large region, assuming circular symmetry for the polarization vectors. The measurements imply an average polarization degree for the synchrotron component of ∼2.5%, and close to 5% for the X-ray synchrotron-dominated forward shock region. These numbers are based on an assessment of the thermal and nonthermal radiation contributions, for which we used a detailed spatial-spectral model based on Chandra X-ray data. A pixel-by-pixel search for polarization provides a few tentative detections from discrete regions at the ∼ 3 σ confidence level. Given the number of pixels, the significance is insufficient to claim a detection for individual pixels, but implies considerable turbulence on scales smaller than the angular resolution. Cas A’s X-ray continuum emission is dominated by synchrotron radiation from regions within ≲10 17 cm of the forward and reverse shocks. We find that (i) the measured polarization angle corresponds to a radially oriented magnetic field, similar to what has been inferred from radio observations; (ii) the X-ray polarization degree is lower than in the radio band (∼5%). Since shock compression should impose a tangential magnetic-field structure, the IXPE results imply that magnetic fields are reoriented within ∼10 17 cm of the shock. If the magnetic-field alignment is due to locally enhanced acceleration near quasi-parallel shocks, the preferred X-ray polarization angle suggests a size of 3 × 10 16 cm for cells with radial magnetic fields.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.703
Threshold uncertainty score0.475

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.005
GPT teacher head0.192
Teacher spread0.187 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations40
Published2022
Admission routes1
Has abstractyes

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