Downloads provided by UsageCounts
handle: 10261/344182
This article describes a comprehensive testing method for the thermal calibration of the Thermal InfraRed Sensor (TIRS) onboard NASA's Perseverance rover. Ground-based IR detectors operating at the surface of Mars are subjected to inaccuracies caused by the inclusion of thermal gradients in their packages. To reduce such uncertainties, it is necessary to compensate for their effects. Here, details of the TIRS thermo-mechanical design and a simplified thermal mathematical model (TMM) that accounts for the presence of thermal gradients in the detector's package are provided. Then, a set of equations for the estimation and compensation of thermal gradients are proposed based on the results of the TMM. Thermal calibration tests to identify the mathematical estimators are analyzed, providing details of the test setups and highlighting their limitations and restrictions. Finally, experimental results of the calibration tests are presented, along with the uncertainty sources and potential systematic errors associated with the estimation of the gradients. The results presented here show a significant improvement in the accuracy of TIRS versus previous work, thus fulfilling of the radiometer scientific requirements set by the Mars 2020 science team.
Instituto Nacional de Técnica Aeroespacial (INTA), Plan Estatal de I+D+I [ESP2014-54256-C4-1-R, ESP2015-68281-C4-1-R, ESP2016-79612-C3-1-R, RTI2018-099825-B-C31 and MDM-2017-0737], CDTI, USRA Contract Number 1638782, and LPI Contribution No 2369 (LPI is operated by USRA under a cooperative agreement with the Science Mission Directorate of the National Aeronautics and Space Administration).
No
Spacecraft IR radiometer, Detector modeling, Thermal calibration, IR detector Package gradients, Calibration accuracy
Spacecraft IR radiometer, Detector modeling, Thermal calibration, IR detector Package gradients, Calibration accuracy
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 26 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
| views | 50 | |
| downloads | 119 |

Views provided by UsageCounts
Downloads provided by UsageCounts