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Record W3164933577

Measuring the mass of the Milky Way using observations of radio waves emitted by neutral hydrogen

2021· article· en· W3164933577 on OpenAlexaff
Brianna Nix, Dana Sherwood, Angela Chen, Spencer Guerin, Brendan Nedvidek

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSolar and Space Plasma Dynamics
Canadian institutionsQueen's University
Fundersnot available
KeywordsMilky WayPhysicsRadio telescopeLogarithmic spiralSpiral galaxyAstrophysicsAstronomyGalaxyGeometry
DOInot available

Abstract

fetched live from OpenAlex

In this experiment we studied the rotation of the spiral arms of the Milky Way and estimated its total mass by observing radio waves emitted from neutral hydrogen within the spiral arms. The spin-flip transition in a hydrogen atom results in the emission of a 21-cm radio wave that is Doppler-shifted when observed from Earth due to the hydrogen’s motion relative to Earth. We built a simple radio telescope composed of a horn antenna, a low noise amplifier, and a spectrometer made with gnu radio to observe the waves emitted within the first quadrant of the Milky Way. With these observations, we plotted a rotation curve of the Milky Way which had the expected logarithmic form and reasonable speeds when compared to the rotation curves from previous experiments. The mass distribution of the Milky Way was derived from the logarithmic fit and was evaluated at 129000 light-years to obtain a total mass of M = (1.5 ± 47 × 105) trillion solar masses. Our final result agrees with the expected mass of 𝑀𝑙𝑖𝑡𝑒𝑟𝑎𝑡𝑢𝑟𝑒 = 1.5 trillion solar masses. We attribute the large uncertainty on our calculated mass to the uncertainties in the parameters of our rotation curves fit to the logarithmic model.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.306
Threshold uncertainty score0.186

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 science0.0000.000
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 head0.029
GPT teacher head0.219
Teacher spread0.190 · 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

Citations2
Published2021
Admission routes1
Has abstractyes

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