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Record W7132069806

Bose-Einsten condensation

2019· dissertation· hr· W7132069806 on OpenAlexaboutno aff
Julia Petrović

Bibliographic record

VenuePHYRI Repository · 2019
Typedissertation
Languagehr
FieldPhysics and Astronomy
TopicCold Atom Physics and Bose-Einstein Condensates
Canadian institutionsnot available
Fundersnot available
KeywordsCondensationLeft main bronchusSchool nurse
DOInot available

Abstract

fetched live from OpenAlex

Bose - Einsteinova kondenzacija je specifična vrsta faznog prijelaza preko koje je omogućeno proučavanje kvantnih efekata na makroskopskoj razini. Takav prijelaz karakterizira pad velikog broja bozona u osnovno stanje i opserviranje velikog vala materije. Teorija pretpostavljena od strane Alberta Einsteina dvadesetih godina 20. stoljeća daje statističku pozadinu o ponašanju plina bozona nakon sto se temperatura sustava smanji ispod kritične temperature. Da bi se mogla razviti intuitivna percepcija o prelasku iz običnog Boseovog plina u Bose - Einsteinov kondenzat, kreće se od uvođenja de Broglieve valne duljine te objašnjava kako ona postaje sve veća snižavanjem temperature sustava. Potom kvantno - statistički koncept daje konkretan izračun i objašnjenje kritične temperature. Predstavlja se pojednostavljeni teorijski model za Bose - Einsteinov kondenzat preko Gross - Pitaevskii jednadžbe, uz pobliže objašnjenje kroz raspršenje hladnih atoma i definiranje duljine raspršenja za nisko temperaturni sustav bozona. Nakon teorijskog objašnjenja daje se povijesni pregled teorijskih i eksperimentalnih radova koji su prethodili realizaciji Bose - Einsteinove kondenzacije, a usko su povezani s njom. Na kraju su opisane tehnike hlađenja sustava bozona te rezultati prvog postizanja kondenzata.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.095
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.002

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 head0.009
GPT teacher head0.241
Teacher spread0.232 · 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 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

Citations0
Published2019
Admission routes1
Has abstractyes

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