Ai Feedback
Exact(7)
He also designed simple electronics and software components to display the number of muons passing through the detector, making the detector a self-contained measurement and readout instrument.
Deviations as little as 5 °C can increase noise as much as 5 times, making the detector unsuited for trace analysis.
Coupling this fast CSA to the axial field ionization chamber produces an output pulse with a risetime of 60 70 ns and a fall time of 100 ns, making the detector capable of sustaining a relatively high rate and providing a time resolution of 6 8 ns.
A disadvantage of this technique is that a large time window following the arming of the detector had to be excluded from TOA estimation because of the high number of level crossings due to noise only in that range, and therefore making the detector less efficient.
Indeed, when the signal-to-noise ratio (SNR) drops below the derived bound, the medians of the test statistics under (mathcal {H}_{1}) are below the median of the test statistic under (mathcal {H}_{0}) for all inspected N, making the detector non-robust by definition.
Principal drawback of the detector is its relatively slow thermal response time making the detector approximately 100 times less responsive at 1 kHz (the repetition rate of our laser and THz source).
Similar(53)
This makes the detector robust and structure-aware.
The improvements in this new design made the detector more compatible with field uses.
These characteristics make the detector suitable for very large arrays, such as future neutrino experiments.
The system normally exerts two-thirds of force to make the detector reach the top of the fuel position, compared with conventional ones.
The small pixel size makes the detector ideal for high gradient beam profiles like those present in Intensity Modulated Radiation Therapy.
Related(20)
making the wand
making the device
making the test
checking the detector
implementing the detector
making the alarm
enabling the detector
making the sensors
makes the detector
making the charcoal
making the calculation
making the state
making the commitment
making the connection
making the switch
making the fuel
making the banner
making the appointment
making the money
making the investment
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com