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Record W3113158326 · doi:10.1117/12.2579233

The optical design of the Litebird Medium and High Frequency Telescope

2020· article· en· W3113158326 on OpenAlexfundno aff
Luca Lamagna, Jon E. Gudmundsson, Hiroaki Imada, Peter Hargrave, C. Franceschet, M. De Petris, Jason E. Austermann, Sophie Bounissou, Fabio Columbro, Paolo de Bernardis, S. Henrot–Versillé, Johannes Hubmayr, Gregory Jaehnig, Reijo Keskitalo, B. Maffei, Silvia Masi, T. Matsumura, Ludovic Montier, B. Mot, F. Noviello, Créidhe O’Sullivan, Alessandro Paiella, G. Pisano, S. Realini, A. Ritacco, Giorgio Savini, Aritoki Suzuki, N. Trappe, Berend Winter

Bibliographic record

VenueSpace Telescopes and Instrumentation 2020: Optical, Infrared, and Millimeter Wave · 2020
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSuperconducting and THz Device Technology
Canadian institutionsnot available
FundersNuclear PhysicsAgencia Estatal de InvestigaciónScience and Technology Facilities CouncilCanadian Space AgencyOffice of ScienceCentre National de la Recherche ScientifiqueIstituto Nazionale di AstrofisicaVetenskapsrådetSwedish National Space AgencyJapan Society for the Promotion of ScienceNorges ForskningsrådNational Aeronautics and Space AdministrationCentre National d’Etudes SpatialesMinistry of Education, Culture, Sports, Science and TechnologyEuropean Space AgencyDeutsche ForschungsgemeinschaftJapan Aerospace Exploration AgencyU.S. Department of Energy
KeywordsCosmic microwave backgroundTelescopeGravitational wavePolarization (electrochemistry)PhysicsMicrowaveInterferometryInstrumentation (computer programming)OpticsRemote sensingSystems engineeringAstronomyComputer scienceEngineeringGeology

Abstract

fetched live from OpenAlex

LiteBIRD is a JAXA strategic L-class mission devoted to the measurement of polarization of the Cosmic Microwave Background, searching for the signature of primordial gravitational waves in the B-modes pattern of the polarization. The onboard instrumentation includes a Middle and High Frequency Telescope (MHFT), based on a pair of cryogenically cooled refractive telescopes covering, respectively, the 89-224 GHz and the 166-448 GHz bands. Given the high target sensitivity and the careful systematics control needed to achieve the scientific goals of the mission, optical modeling and characterization are performed with the aim to capture most of the physical effects potentially affecting the real performance of the two refractors. We describe the main features of the MHFT, its design drivers and the major challenges in system optimization and characterization. We provide the current status of the development of the optical system and we describe the current plan of activities related to optical performance simulation and validation.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.544
Threshold uncertainty score0.566

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 studies0.0000.001
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 head0.016
GPT teacher head0.226
Teacher spread0.209 · 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

Citations4
Published2020
Admission routes1
Has abstractyes

Explore more

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