Parameters

Drift Time

The drift time (tdrift) is defined as the time taken from the initiation of charge generation to the collection at the detector’s point contact. This drift time correlates with the location of the event inside the detector, as interactions that occur further from the point contact result in longer drift times due to the greater distance the charge must travel.

Drift Time
Figure 1: A plot illustrating tdrift thresholds

Late Charge (lq80)

The LQ80 Parameter is used to measure the amount of energy being collected after 80% of the peak. This is important because multi-site events have extra energy collections that appear in this LQ80 region.

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Figure 2: A plot depicting the LQ80 region

Late Charge Slope (Area Growth Rate)

The Area Growth rate was a way to measure the ability of method was a measure of the growth rate of the wave form past 80% of the peak energy.

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Figure 3: A plot showing the Area Growth Rate

Second derivative Inflection Points

The inflection points were a way to see how many times our waveform changed from increasing to decreasing and this is important because mutlisite events have much more inflection points than a single site event would have.

Rising Edge Slope

The Rising Edge slope parameter is a way for us to measure the slope of the charge that was recorded.

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Figure 4: A plot showing the Rising Edge Slope region

Rising Edge Asymmetry

The rising edge asymmetry parameter describes how tilted in a direction the rising edge of the signal is, or in other words how skewed the rising edge is. This is important because it can help distinguish between MSE and SSE. MSE will usually have a lower skew meaning it is more symmetrical compared to SSE.

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Figure 5: This rising edge is a single site event with a REA of 1.316147266130899
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Figure 6: Comparatively this rising edge is a multi-site event and has a REA of 0.7821869431061642

Current Amplitude

The current amplitude of a single waveform is the peak rate of charge collection, defined as I = dq/dt which means current amplitude is the derivative of charge. The reason we need that parameter is it helps distinguish between different types of events such as SSE and MSE in our particle detection project, where SSE typically shows a higher amplitude as opposed to MSE.

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Figure 5: The current amplitude is the peak rate of charge collection.

Energy Peak

After the particle hits the detector, the energy reaches its peak. A dramatic spike is visible in the energy graph. This is typically the maximum ADC count. The height of this peak correlates with the energy deposited by the particle in the detector, which is why it’s used as a measure of the particle’s energy.

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Figure 7: A plot showing the height of a waveform’s ADC count

Tail Slope

The tail slope is the rate of charge collection over the length of the waveform’s tail. It indicates how quickly charge dissipates in the detector after the initial interaction.

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Figure 8: The highlighted section is a fragment of the tail

Delayed Charge Recovery

The DCR parameter helps to distinguish surface alpha background events by assessing the rate of area growth in the tail slope region. It quantifies the arrival of charges that are delayed by one nanosecond or more after the initial charge collection.

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Figure 9: A plot showing the DCR region of a random waveform

Fourier Transform and Low Frequency Power Ratio

The Fourier Transform is a mathematical operation that transforms a time-domain signal into its frequency-domain representation. It decomposes a complex signal into a sum of sines and cosine components at different frequencies. Fourier Transform is useful for distinguishing between single-site events (SSE) and multi-site events (MSE) within detector data because of the nature of charge distribution within the detector, as most of the energy from the particle interaction in SSE is deposited at a single point whereas it is deposited in multiple locations in MSE.

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Figure 10: A plot showing the Fourier Transformation