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AMPEL operating on ZTF commissioning observations.AMPEL is processing alerts as they are made available at the UW Kafka server. Work so far has focused on implementing a set of sample T0 filters that will work as templates for specific science channels. A key feature of AMPEL is the ability to take user-defined actions for each transient, depending on the outcome of the filters. For this test, two such actions are implemented: relaying information on the accepted alerts to a Slack channel and uploading candidates to the TNS sandbox area. | ||||||||
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< < | In the following, a few templates filters are briefly described. For the sake of clarity, only the relevant parts of the code are shown. Complete and in depth description and explanation of the AMPEL filtering stage (the T0 pipeline tier) can be found at: https://github.com/AmpelProject/Ampel-T0-ref![]() | |||||||
> > | In the following, a few templates filters are briefly described. For the sake of clarity, only the relevant parts of the code are shown. Complete and in depth description and explanation of the AMPEL filtering stage (the T0 pipeline tier) can be found at: https://github.com/AmpelProject/Ampel-T0-ref![]() ![]() | |||||||
NOTE: as with any commissioning activity, this is still work in progress. More careful study is needed to tune the performance and science output of each of these filters. If anyone is interested in contributing to AMPEL, please get in touch! We need help developing filters, as well as modules for calculating science values. People to contact: |