Prescaled Trigger: What Does It Mean?

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In summary, a prescaled trigger is a type of trigger used in particle physics experiments to filter out unimportant events and save computing resources. It works by only allowing a certain percentage of detected events to be recorded and analyzed, while discarding the rest. The trigger works by using a random number generator to select a fraction of events to be saved and analyzed, with the prescale factor determined by the experimenter. This allows for more efficient use of computing resources and faster data analysis, but may also discard important events or bias the data if not chosen carefully.
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ChrisVer
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Another question...
What does [un]prescaled trigger refer to? what is being scaled [and pre- to what]?
 
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All trigger publications of all the experiments should describe that.

You can't take everything at the full rate, but you still want some samples for e. g. low-energetic events, so you evaluate some triggers only for 1 out of x events, reducing the trigger rate (the rate of events that get stored based on this trigger) to a reasonable rate.
 

1. What is a prescaled trigger?

A prescaled trigger is a type of trigger used in particle physics experiments to filter out unimportant events and save computing resources. It works by only allowing a certain percentage of detected events to be recorded and analyzed, while discarding the rest.

2. How does a prescaled trigger work?

A prescaled trigger works by using a random number generator to select a fraction of events to be saved and analyzed. This fraction, or "prescale factor", is determined by the experimenter and can be adjusted depending on the needs of the experiment.

3. Why is a prescaled trigger used?

A prescaled trigger is used to reduce the amount of data that needs to be processed and stored, as particle physics experiments can produce a large number of events. By discarding a portion of events, computing resources can be used more efficiently, allowing for faster data analysis.

4. How is the prescale factor determined?

The prescale factor is determined based on the expected rate of events in the experiment. It is typically chosen to be large enough to reduce the data to a manageable level, but small enough to still capture important events. The factor may also be adjusted during the experiment if necessary.

5. What are the advantages and disadvantages of a prescaled trigger?

The main advantage of a prescaled trigger is that it allows for more efficient use of computing resources and faster data analysis. However, a potential disadvantage is that it may discard important events or bias the data if the prescale factor is not chosen carefully.

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