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Record W3098107140

Comparison of relativity theories with observer-independent scales of both velocity and length/mass

2002· article· en· W3098107140 on OpenAlexaff

Bibliographic record

VenueCERN Document Server (European Organization for Nuclear Research) · 2002
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNoncommutative and Quantum Gravity Theories
Canadian institutionsPerimeter Institute
Fundersnot available
KeywordsPhysicsObserver (physics)Theory of relativityEnergy–momentum relationTheoretical physicsPreprintTime dilationRelativistic mechanicsClassical mechanicsGeneral relativityGravitationQuantum mechanics
DOInot available

Abstract

fetched live from OpenAlex

There are now in the literature two proposals of relativity theories with observer-independent scales of both velocity and length/mass: one, which we here call "DSR1", proposed by Amelino-Camelia in gr-qc/0012051,hep-th/0012238 and one, which we here call "DSR2", proposed by Magueijo and Smolin in hep-th/0112090. We argue that a key aspect of such theories are the kinematical conditions for particle production in collision processes. We derive these kinematical conditions for DSR2, which was originally formulated only in the one-particle sector. This result is then used to characterize the differences between the two proposals; in particular, we find that, while experiments such as AMS and GLAST can test some of the predictions of DSR1, the effects predicted by DSR2 are much weaker and none of them should be testable in the foreseeable future. We also show that if one interprets, as done in hep-th/0112090, the DSR2-boost parameter $v$ as the relative velocity between the observers connected by the boost one is then forced to give up the "Hamiltonian" relation $v_{particle} =dE/dp$ between the speed of a particle and its momentum. We argue that, adopting an accordingly modified interpretation of the DSR2-boost parameter $v$, one can maintain the relation $v_{particle} =dE/dp$ in DSR2.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.289
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0010.000

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 head0.037
GPT teacher head0.293
Teacher spread0.256 · 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

Citations21
Published2002
Admission routes1
Has abstractyes

Explore more

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