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Record W2794558609 · doi:10.3847/1538-4357/aad188

The CHIME Fast Radio Burst Project: System Overview

2018· article· en· W2794558609 on OpenAlexaffabout
M. Amiri, Kevin Bandura, Philippe Berger, Mohit Bhardwaj, M. M. Boyce, P. J. Boyle, Charanjot Brar, Maya Burhanpurkar, Pragya Chawla, Jaydeep Ghosh Chowdhury, Jean-François Cliche, Miles Cranmer, Davor Čubranić, Meiling Deng, Nolan Denman, M. Dobbs, Mateus Fandino, Emmanuel Fonseca, B. M. Gaensler, Utkarsh Giri, A. J. Gilbert, Deborah C. Good, S. Guliani, M. Halpern, G. Hinshaw, C. Höfer, Alexander Josephy, V. M. Kaspi, T. L. Landecker, Dustin Lang, Haoran Liao, Kiyoshi W. Masui, Juan Mena-Parra, Arun Naidu, Laura Newburgh, Cherry Ng, C. Patel, Ue‐Li Pen, Tristan Pinsonneault-Marotte, Ziggy Pleunis, M. Rafiei Ravandi, S. M. Ransom, Andre Renard, Paul Scholz, Kris Sigurdson, Seth R. Siegel, Kendrick M. Smith, I. H. Stairs, Shriharsh P. Tendulkar, K. Vanderlinde, Donald Wiebe

Bibliographic record

VenueThe Astrophysical Journal · 2018
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPulsars and Gravitational Waves Research
Canadian institutionsHerzberg Institute of AstrophysicsCanadian Institute for Theoretical AstrophysicsPerimeter InstituteUniversity of TorontoMcGill UniversityUniversity of British Columbia
Fundersnot available
KeywordsFast radio burstRadio telescopePhysicsComputer scienceAstronomyAstrophysicsGalaxy

Abstract

fetched live from OpenAlex

Abstract The Canadian Hydrogen Intensity Mapping Experiment (CHIME) is a novel transit radio telescope operating across the 400–800 MHz band. CHIME is composed of four 20 m × 100 m semicylindrical paraboloid reflectors, each of which has 256 dual-polarization feeds suspended along its axis, giving it a ≳200 deg 2 field of view. This, combined with wide bandwidth, high sensitivity, and a powerful correlator, makes CHIME an excellent instrument for the detection of fast radio bursts (FRBs). The CHIME Fast Radio Burst Project (CHIME/FRB) will search beam-formed, high time and frequency resolution data in real time for FRBs in the CHIME field of view. Here we describe the CHIME/FRB back end, including the real-time FRB search and detection software pipeline, as well as the planned offline analyses. We estimate a CHIME/FRB detection rate of 2–42 FRBs sky –1 day –1 normalizing to the rate estimated at 1.4 GHz by Vander Wiel et al. Likely science outcomes of CHIME/FRB are also discussed. CHIME/FRB is currently operational in a commissioning phase, with science operations expected to commence in the latter half of 2018.

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 categoriesScience and technology studies
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 score0.510
Threshold uncertainty score1.000

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 science0.0010.000
Research integrity0.0000.001
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 head0.019
GPT teacher head0.327
Teacher spread0.309 · 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.

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

Citations372
Published2018
Admission routes2
Has abstractyes

Explore more

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