SAAPS, Version 1.01


Read Me First!

Changes

Analysis Module

Anomaly Plotter (Help)

This tool enables the user to do simple local time plots of user submitted anomaly data.

Data Plotter (Help)

The data plotter is used to plot the data in the SAAPS database.

Superposed Epoch Analysis (Help)

It is often useful to examine how a parameter behaves for certain events. With superposed epoch analysis one stacks several periods of a parameter based on an event list. If there are structures in the data that are related to the events these will appear from this analysis.

Find Best Prediction Model (Help)

SAAPS contain several models that have been developed to predict the probability of anomalies for specific spacecraft. Thus, the models are satellite dependent. This tool enables the user to submit lists of times at which no anomalies occured and times when anomalies occured. The tool then returns the model that best fits the users no-anomaly/anomaly lists.

Find Electron Fluence Threshold Levels (Help)

The daily electron fluence level can be used to develop simple anomaly models for spacecraft that suffer from charging anomalies. With this tool the GOES-08 >0.6 MeV and >2 MeV electron fluences are used to find fluence threshold levels from user submitted no-anomaly/anomaly lists. As the GOES-08 satellite only provide energetic electron flux the model can only be expected to work for internal charging events.

Find Geomagnetic Storm Threshold Level (Help)

During geomagnetic storms the electron flux and distribution changes. The 3-hour Kp index is used to monitor the overall level of disturbance. The daily sums of Kp can be used as a proxy to the electron fluence. This tool finds the threshold level of daily sum Kp that best

Prediction Module

Risk of internal charging (Help)

Daily GOES-8 electron fluence is used to determine the risk internal charging for geosynchronous satellites.

Anomaly Predictions (Help)

Three different satellite anomaly data sets have been used to develop nowcasting and forecasting models. The models use daily sums of Kpas input, extending approximately 10 days back in time. The predictions are made with a daily resolution.

The casue of the anomalies are different for the three satellite anomaly sets. The S001 satellite is mainly sensitive to surface charging. This means that the nowcasting is gives a higher success rate than the one day forecasting. The S002 and S003 satellites are primarly sensitive to internal charging, and thus the nowcasting and one day forecasting have similar success rates.


Peter Wintoft
Tuesday, October 23, 2001