Infrared Spectrometer for ExoMars: A Mast-Mounted Instrument for the Rover
Bibliographic record
Abstract
ISEM (Infrared Spectrometer for ExoMars) is a pencil-beam infrared spectrometer that will measure reflected solar radiation in the near infrared range for context assessment of the surface mineralogy in the vicinity of the ExoMars rover. The instrument will be accommodated on the mast of the rover and will be operated together with the panoramic camera (PanCam), high-resolution camera (HRC). ISEM will study the mineralogical and petrographic composition of the martian surface in the vicinity of the rover, and in combination with the other remote sensing instruments, it will aid in the selection of potential targets for close-up investigations and drilling sites. Of particular scientific interest are water-bearing minerals, such as phyllosilicates, sulfates, carbonates, and minerals indicative of astrobiological potential, such as borates, nitrates, and ammonium-bearing minerals. The instrument has an ∼1° field of view and covers the spectral range between 1.15 and 3.30 μm with a spectral resolution varying from 3.3 nm at 1.15 μm to 28 nm at 3.30 μm. The ISEM optical head is mounted on the mast, and its electronics box is located inside the rover's body. The spectrometer uses an acousto-optic tunable filter and a Peltier-cooled InAs detector. The mass of ISEM is 1.74 kg, including the electronics and harness. The science objectives of the experiment, the instrument design, and operational scenarios are described. Key Words: ExoMars—ISEM—Mars—Surface—Mineralogy—Spectroscopy—AOTF—Infrared. Astrobiology 17, 542–564. 1. Introduction 2. Science Objectives 2.1. Contribution to overall rover mission science 2.2. Synergies with other instruments 2.3. The method 2.3.1. Spectral range 2.3.2. Spectral resolution 2.4. Potentially detectable mineral groups 2.4.1. Phyllosilicates 2.4.2. Carbonates 2.4.3. Sulfates 2.4.4. Silica 2.4.5. Igneous minerals 2.4.6. Ferrous oxides/hydroxides 2.4.7. Organic compounds—PAHs 2.4.8. Perchlorates and chlorides 2.4.9. Oxalates 2.4.10. Water ice 2.4.11. Nitrates 2.4.12. Phosphates 2.4.13. Borates 2.4.14. Ammonium‐bearing minerals 2.5. Atmospheric studies (aerosol, gaseous content) 3. Instrument Description 3.1. Instrument concept 3.2. The optical box 3.3. The electronics box 3.4. The calibration target 4. Measurement Scenario 4.1. The experiment cycle 4.2. Operations on the surface 4.3. Resources required 4.4. Measurement performance, examples, comparison with state of the art 4.4.1. Spectral range and spectral resolution 4.4.2. Signal‐to‐noise ratio estimation 4.4.3. Estimation of detection capabilities 4.5. Environmental requirements and characterization 5. Conclusions Acknowledgments Author Disclosure Statement References
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 0.010 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".