The calibration database(CALDB)for the Einstein probe’s follow-up X-ray telescope(EP-FXT)is designed to store essential calibration files such as point spread function(PSF)files,vignetting files,ancillary response fi...The calibration database(CALDB)for the Einstein probe’s follow-up X-ray telescope(EP-FXT)is designed to store essential calibration files such as point spread function(PSF)files,vignetting files,ancillary response files(ARFs),and response matrix files(RMFs).These files are essential to ensure the accuracy and reliability of scientific data analysis.We adopt a structured approach to organize the calibration data by using standardized file naming conventions and formats.Each file type includes specific extensions and binary tables to capture detailed calibration parameters.For example,the ancillary response file contains energy and effective area data,while the response matrix file includes response functions and energy-channel relationships.Keywords are systematically embedded within calibration files in the CALDB to support efficient indexing and retrieval.The calibration database successfully supports the diverse calibration requirements of EP-FXT,accommodating various observation modes and filters.It provides a robust framework for storing,retrieving,and updating calibration data,significantly reducing systematic errors in data analysis.The design ensures scalability and adaptability,allowing for future enhancements.By maintaining high calibration data integrity and accessibility,the database plays a critical role in maximizing the scientific return from EP-FXT observations,enabling precise calibration across different observational scenarios.展开更多
基金supported by the Einstein-Probe(EP)Program which is funded by the Strategic Priority Research Program of the Chinese Academy of Sciences Grant No.XDA15310303.
文摘The calibration database(CALDB)for the Einstein probe’s follow-up X-ray telescope(EP-FXT)is designed to store essential calibration files such as point spread function(PSF)files,vignetting files,ancillary response files(ARFs),and response matrix files(RMFs).These files are essential to ensure the accuracy and reliability of scientific data analysis.We adopt a structured approach to organize the calibration data by using standardized file naming conventions and formats.Each file type includes specific extensions and binary tables to capture detailed calibration parameters.For example,the ancillary response file contains energy and effective area data,while the response matrix file includes response functions and energy-channel relationships.Keywords are systematically embedded within calibration files in the CALDB to support efficient indexing and retrieval.The calibration database successfully supports the diverse calibration requirements of EP-FXT,accommodating various observation modes and filters.It provides a robust framework for storing,retrieving,and updating calibration data,significantly reducing systematic errors in data analysis.The design ensures scalability and adaptability,allowing for future enhancements.By maintaining high calibration data integrity and accessibility,the database plays a critical role in maximizing the scientific return from EP-FXT observations,enabling precise calibration across different observational scenarios.
