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Record W2766776263 · doi:10.1017/pasa.2017.65

Follow Up of GW170817 and Its Electromagnetic Counterpart by Australian-Led Observing Programmes

2017· article· en· W2766776263 on OpenAlexaff
Igor Andreoni, K. Ackley, Jeff Cooke, Ayan Acharyya, J. R. Allison, G. E. Anderson, M. C. B. Ashley, D. Baade, M. Bailes, K. W. Bannister, Adam P. Beardsley, M. S. Bessell, Fuyan Bian, P. A. Bland, M. Boër, T. Booler, A. Brandeker, Ian Brown, D. A. H. Buckley, Seo-Won Chang, D. M. Coward, Steven M. Crawford, H. Crisp, B. Crosse, Antonino Cucchiara, Martin Cupák, J. S. de Gois, Adam T. Deller, Hadrien A. R. Devillepoix, Dougal Dobie, E. Elmer, D. Emrich, Wael Farah, Tony J. Farrell, T. M. O. Franzen, B. M. Gaensler, D. K. Galloway, B. Gendre, Timothy W. Giblin, A. Goobar, James Green, P. J. Hancock, Benjamin A. D. Hartig, E. J. Howell, L. Horsley, A. W. Hotan, Robert M. Howie, Lei Hu, Yi-Ming Hu, C. James, S. Johnston, M. Johnston‐Hollitt, D. L. Kaplan, M. M. Kasliwal, E. F. Keane, D. Kenney, A. Klotz, Ryan M. Lau, Romain Laugier, E. Lenc, X. Li, En‐Wei Liang, C. Lidman, Lance Luvaul, C. Lynch, Bin Ma, D. MacPherson, J. R. Mao, D. E. McClelland, C. McCully, A. Möller, M. F. Morales, David C. Morris, Tara Murphy, K. Noysena, Christopher A. Onken, N. Brice Orange, S. Osłowski, D. Pallot, Jonathan Paxman, S. Potter, T. A. Pritchard, Wasim Raja, Ryan Ridden-Harper, E. Romero‐Colmenero, E. M. Sadler, Eleanor K. Sansom, R. Scalzo, B. Schmidt, S. M. Scott, N. Seghouani, Zhaohui Shang, R. M. Shannon, Li Shao, Michael M. Shara, R. Sharp, M. Sokołowski, J. Sollerman, Jan E. Staff, Kim Steele, L. Sun, N. B. Suntzeff, C. Tao, S. J. Tingay, M. C. Towner, P. Thierry, Cathryn M. Trott, B. Tucker, P. Väisänen, V. Venkatraman Krishnan, M. Walker, L. Wang, Xihong Wang, R. B. Wayth, M. T. Whiting, A. Williams, T. B. Williams, Christian Wolf, C. Y. Wu, X. Wu, Jun Yang, X. Yuan, Heng Zhang, Ji‐Lin Zhou, Henry R. M. Zovaro

Bibliographic record

VenuePublications of the Astronomical Society of Australia · 2017
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPulsars and Gravitational Waves Research
Canadian institutionsCanadian Institute for Theoretical AstrophysicsUniversity of Toronto
FundersAustralian Research CouncilScience and Technology Facilities CouncilARC Centre of Excellence for All-Sky Astrophysics
KeywordsPhysicsNeutron starAstrophysicsGalaxyPulsarAstronomyGravitational waveAfterglowSupernovaStarsGamma-ray burst

Abstract

fetched live from OpenAlex

Abstract The discovery of the first electromagnetic counterpart to a gravitational wave signal has generated follow-up observations by over 50 facilities world-wide, ushering in the new era of multi-messenger astronomy. In this paper, we present follow-up observations of the gravitational wave event GW170817 and its electromagnetic counterpart SSS17a/DLT17ck (IAU label AT2017gfo) by 14 Australian telescopes and partner observatories as part of Australian-based and Australian-led research programs. We report early- to late-time multi-wavelength observations, including optical imaging and spectroscopy, mid-infrared imaging, radio imaging, and searches for fast radio bursts. Our optical spectra reveal that the transient source emission cooled from approximately 6 400 K to 2 100 K over a 7-d period and produced no significant optical emission lines. The spectral profiles, cooling rate, and photometric light curves are consistent with the expected outburst and subsequent processes of a binary neutron star merger. Star formation in the host galaxy probably ceased at least a Gyr ago, although there is evidence for a galaxy merger. Binary pulsars with short (100 Myr) decay times are therefore unlikely progenitors, but pulsars like PSR B1534+12 with its 2.7 Gyr coalescence time could produce such a merger. The displacement (~2.2 kpc) of the binary star system from the centre of the main galaxy is not unusual for stars in the host galaxy or stars originating in the merging galaxy, and therefore any constraints on the kick velocity imparted to the progenitor are poor.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.200
Threshold uncertainty score0.418

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.034
GPT teacher head0.346
Teacher spread0.312 · 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 designObservational
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

Citations209
Published2017
Admission routes1
Has abstractyes

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