  The lithium-drifted silicon (Si(Li)) detector developed for the General
Antiparticle Spectrometer (GAPS) experiment features a thick (~2.2 mm)
sensitive layer, large (10 cm) diameter, and excellent energy resolution (~4
keV for 20-100 keV X-rays) at a relatively high operating temperature
(approximately -40C). Mass production of GAPS Si(Li) detectors has been
performed to construct a large-volume silicon tracker for GAPS. We achieved the
first success of the mass production of large-area Si(Li) detectors with a high
(~90%) yield rate. Valuable datasets related to detector fabrication, such as
detector performance and manufacturing parameters, were recorded and collected
during the mass production. This study analyzes the datasets using statistical
methods with the aim of comprehensively examining the mass production and to
gain valuable insight into the fabrication method. Sufficient uniformities of
the performance parameters (leakage current and capacitance) between detectors
and strips are found, demonstrating high-quality and stable mass production. We
also search for correlations between detector performance and manufacturing
parameters by using data-mining techniques. Conventional multivariate analysis
(multiple regression analysis) and machine-learning techniques (regression tree
analysis) are complementarily used, and it is found that the Li-drift process
makes a significant contribution to the performance parameters of the finished
detectors. Detailed investigation of the drift process is performed using
environmental data, and physical interpretations are presented. Our results
provide valuable insight into the fabrication methods for this kind of
large-area Si(Li) detector, and encourages future projects that require
large-volume silicon trackers.
