Conveners
LGAD and Timing
- Gianluigi Casse (University of Liverpool (GB))
LGAD and Timing
- Giulio Pellegrini (Universidad de Valencia (ES))
Low Gain Avalanche Detectors (LGADs) are silicon sensors with internal charge gain. The gain feature is used to improve the signal to noise ratio of the detector. These sensors are finding different applications including timing for high energy physics, beam monitoring for hadron therapy, and soft x-ray detection. This talk details the optimization of LGADs for different applications, with an...
Low Gain Avalanche Detectors (LGADs) are silicon detectors with modest internal gain (up to ~50) that allows the sensor to be very thin (20-50 um). LGADs are characterized by an extremely good time resolution (down to 17ps), a fast rise time (~500ps) and a very high repetition rate (~1ns full charge collection). In a broad array of fields, including particle physics (4-D tracking) and photon...
Resistive AC-LGAD (RSD) are sensors based on an evolution of the traditional LGAD designed aimed at eliminating the no-gain area between pads.
The principle of operation of RSD is based on the combination of 3 elements: the gain layer, a resistive n-doped junction contact, and the AC coupling. The design of RSD exploits the signal sharing among neighboring pads to achieve extremely good...
Measurements of Time of Arrival of particles in detectors with picosecond time accuracy is becoming fundamental for several applications worldwide. The future upgrade of High Luminosity LHC (HL-LHC) is one example where these measurements will be exploited to mitigate the pile-up effects generated by the increase of luminosity. Thanks to this tool, events overlapped in space but separated in...
Popcorn noise has been observed as a detrimental effect in LGADs operation under certain biasing conditions and is manifested as a random charge fluctuation in the detector output signal. We present a systematical analysis of popcorn noise studied in 35 and 50 μm thick CNM LGADs measured via TCT (Transient Current Technique) and a Sr-90 beta setup. The findings are used to define optimal bias...
The recently developed sensors based on the Low Gain Avalanche Diodes (LGAD) sensors [1,2], aka Ultra Fast Silicon Detectors (UFSD), provide excellent position measurement capabilities and additionally provide fast signal response with a precision better than 100ps [3]. These unique properties combined with high radiation hardness [4] and low production costs are very attractive for tracking...
Over the past decade, proton and ion-beam therapy has become an established form of cancer treatment. Currently, the achievable precision of this therapy is limited by uncertainties due to treatment planning based on conventional photon imaging. A significant effort is therefore invested into the development of proton or ion imaging modalities. A typical apparatus for such applications...
The Hamamatsu ORCA2 C11090-22B is a EM-CCD camera working with visible light, able to perform Ultra-Low Light Imaging. In this contribution, we will show how such a camera can be employed to study the breakdown of Silicon detectors by looking at their "hot spots", namely regions of a device that emit visible photons because of the high current densities flowing through them. We performed...
Radiotherapy with ions has become a diffuse tool for curing cancer. Despite scientific and technological advances to improve the treatment efficacy, several critical issues have yet to be addressed. In order to fully understand the biological effect of ions, a complete characterization of the radiation field is needed.
Microdosimetry has been identified as a powerful tool to tackle this...
In contrast to High Energy Physics, where particles easily traverse the whole thickness of a silicon sensor, low-energy particles may be completely stopped in the sensor material. We propose a new pixelated silicon sensor with signal amplification for particles which deposit their entire energy in the range of hundreds of nanometers or less in silicon. The proposed sensor utilizes the iLGAD...
