Dear Orekit Community,
I’ve recently developed a Python code leveraging the Orekit wrapper, enhanced with additional functionalities, for orbit determination. However, during testing on certain datasets, I noticed significant sluggishness in its performance.
I’m dealing with low orbits and aiming to optimize the runtime for such scenarios. If datasets are the primary factor influencing runtime, I’m particularly interested in understanding the ideal setup for data parameters, such as the fitspan of GPS data or the number of data points being fed in.
I’m curious about common standards or benchmarks for runtime in Orekit-based software, especially when working with low orbits. Essentially, I’m wondering if there are typical expectations regarding runtime. While I understand that actual runtime can vary based on factors such as dataset size and fit span, having a rough example or guideline would be immensely helpful for comparison.
Looking forward to your insights and suggestions.
Best regards,
SeongHo Park