MétaCan
Menu
Back to cohort
Record W4385975180 · doi:10.1117/12.2677468

Overview of the advanced x-ray imaging satellite (AXIS)

2023· preprint· en· W4385975180 on OpenAlexfundno aff
C. S. Reynolds, Erin Kara, R. F. Mushotzky, A. Ptak, Michael Koss, Brian J. Williams, S. W. Allen, F. E. Bauer, Marshall W. Bautz, Arash Bogadhee, Kevin B. Burdge, N. Cappelluti, Brad Cenko, G. Chartas, Kai-Wing Chan, Lía Corrales, Tansu Daylan, Abe Falcone, Adi Foord, Catherine E. Grant, Mélanie Habouzit, Daryl Haggard, Sven Herrmann, Edmund Hodges‐Kluck, Oleg Kargaltsev, George W. King, Marina Kounkel, Laura A. Lopez, Stefano Marchesi, M. McDonald, Eileen T. Meyer, Eric D. Miller, Melania Nynka, Takashi Okajima, Fabio Pacucci, H. R. Russell, Samar Safí-Harb, Keivan G. Strassun, Anna Trindade Falcão, S A Walker, J. Wilms, Mihoko Yukita, William W. Zhang

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicAstrophysical Phenomena and Observations
Canadian institutionsnot available
FundersScience and Technology Facilities CouncilNatural Sciences and Engineering Research Council of CanadaGoddard Space Flight CenterNational Aeronautics and Space AdministrationCanada Research ChairsAgencia Nacional de Investigación y DesarrolloCanadian Space AgencyNuclear Safety and Security CommissionWashington University in St. Louis
KeywordsObservatoryPhysicsSatelliteDetectorX-ray telescopeOpticsRemote sensingField of viewImage resolutionPixelAngular resolution (graph drawing)FabricationX-ray detectorAstronomyComputer scienceTelescopeGeology

Abstract

fetched live from OpenAlex

The Advanced X-ray Imaging Satellite (AXIS) is a Probe-class concept that will build on the legacy of the Chandra x-ray Observatory by providing low-background, arcsecond-resolution in the 0.3-10 keV band across a 450 arcminute<sup>2</sup> field of view, with an order of magnitude improvement in sensitivity. AXIS utilizes breakthroughs in the construction of lightweight segmented x-ray optics using single-crystal silicon, and developments in the fabrication of large-format, small-pixel, high readout rate CCD detectors with good spectral resolution, allowing a robust and cost-effective design. Further, AXIS will be responsive to target-of-opportunity alerts and, with onboard transient detection, will be a powerful facility for studying the time-varying x-ray universe, following on from the legacy of the Neil Gehrels (Swift) x-ray observatory that revolutionized studies of the transient x-ray Universe. In this paper, we present an overview of AXIS, highlighting the prime science objectives driving the AXIS concept and how the observatory design will achieve these objectives.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.375
Threshold uncertainty score0.548

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 science0.0000.001
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 head0.042
GPT teacher head0.289
Teacher spread0.247 · 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 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

Citations74
Published2023
Admission routes1
Has abstractyes

Explore more

Same topicAstrophysical Phenomena and ObservationsFrench-language works237,207