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Record W4206546143 · doi:10.5194/epsc2021-98

The EXoplanet Climate Infrared TElescope - EXCITE

2021· preprint· en· W4206546143 on OpenAlexaff
E. Pascale, N. Butler, Peter C. Nagler, Calvin B. Netterfield, Gregory S. Tucker

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric Ozone and Climate
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsExoplanetPlanetPhysicsTelescopeSpectroscopyPhase (matter)InfraredAstrophysicsAstronomy

Abstract

fetched live from OpenAlex

EXCITE is a balloon-borne near-infrared spectrometer designed to observe from 0.6 to 4 micron and to perform phase-resolved spectroscopy of hot Jupiters during a Long-Duration Balloon (LDB) flight from Antarctica in 2024. These spectral measurements probe varying depths in exoplanets atmospheres thus contributing to our understanding into atmospheric physics, chemistry and circulation. EXCITE uses a commercially available 0.5 m diameter telescope, coupled to a cooled spectrometer, and pointed with high accuracy and stability using the successful Balloon Imaging Testbed (BIT) pointing platform. The combination of these elements results in a unique instrument for exoplanet atmospheric characterization. EXCITE will measure spectroscopic phase curves of bright, short-period extrasolar giant planets over full orbital. Hot Jupiters provide an ideal laboratory for understanding atmospheric dynamics and the resulting phase-resolved spectroscopy maps the temperature profile and chemical composition of the planet as a function of planetary longitude. The wavelength range covers the peak in the planet’s spectral energy distribution and H2, CO2 , CO, CH4 , TiO and VO spectral features. These data, combined with state-of-the-art 3D general circulation models (GCMs), will be used to study the atmospheric dynamics and chemistry in these strongly-irradiated planets. This will allow us to refine these models and improve their predictive power. Ultimately, the spectroscopic phase curves obtained from EXCITE can be used to study the links between the atmospheric properties of hot Jupiters and their formation, bulk properties, orbital dynamics and environment. The LDB flight of EXCITE will fulfill a critical need as the first dedicated instrument for exoplanet atmospheric characterization in the current decade.EXCITE will use mostly off-the-shelf components. A schematic of the optics layout is shown in the diagram below (credit L. Mugnai). Ambient temperature optics include the telescope, which has a diameter of 0.5 m. One dichroic filter (D1) transmits wavelengths shorter than 1 micron and reflects longer wavelengths. The transmitted light is used to feed a fine pointing photometric camera (FGS) that provides the telescope attitude error. Infrared light propagates through the cold optics (< 120K) inside a long duration cryostat and it is dispersed by a prism. Light is further split into two channels. Channel 1, covering the 1 to 2.5 micron region of the electromagnetic spectrum, and Channel 2 from 2.5 to 4 micron. A single, cold field-stop (slit) is placed at the prime focus to limit radiative backgrounds.The two spectrometric channels are designed to achieve a spectral resolving power larger than 50. Both spectrometers are imaged onto a single Teledyne H1RG detector , read through the ASIC for Control And Digitization of Imagers for Astronomy (ACADIA) detector controller that was developed for the Nancy Grace Roman Space Telescope (NGRST).. Detector and cold optics are operated at cryogenic temperatures using two mechanical cryocoolers. EXCITE will use a pointing system similar to that previously flown on Super-BIT. The achieved stability of the line-of-sight is better than 100 milli-arcsec. In this presentation I will review the instrument design and the status of the project which schedules a test flight from North America in 2023, and a science LDB flight in December 2024.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0140.006

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 head0.014
GPT teacher head0.216
Teacher spread0.203 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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
Published2021
Admission routes1
Has abstractyes

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