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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Pullia, A. Pascovici, G. Cahan, B. Weisshaar, D. Boiano, C. Bassini, R. Petcu, M. Zocca, F. |
| Copyright Year | 2004 |
| Description | Author affiliation: Dept. of Phys., Milan Univ., Italy (Pullia, A.) |
| Abstract | New charge-sensitive preamplifiers for the highly segmented HPGe detectors of AGATA have been designed and built, as developed to read out simultaneously the segment- and the core-electrode signals. A new fast-reset circuitry is used to reduce the dead time brought about by a background of energetic particles in the 10 to 100 MeV range that could hit the detectors in nuclear-physics experiments with radioactive beams. The input field effect transistor and the feedback resistor are placed in the detector cryostat and cooled to ~120 K to minimize the electronic noise. The FET is biased at an unusually low drain voltage (2 V) because a power budget of only 20 mW per FET is allowed for thermal-dissipation constraints in the cryostat. A differential output driver is used to transmit the analog signals through 5-m twisted-pair LVDS cables to an external flash-ADC module. A precise programmable pulser has been developed and installed on a side of the "core" preamplifier board, to be used to inject a calibration pulse onto the core electrode and thereafter to all segments through the detector bulk capacitance. |
| Starting Page | 1411 |
| Ending Page | 1414 |
| File Size | 1197746 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780387007 |
| ISSN | 10823654 |
| e-ISBN | 0780387015 |
| DOI | 10.1109/NSSMIC.2004.1462504 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-10-16 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Preamplifiers Detectors FETs Signal design Circuits Particle beams Feedback Resistors Nuclear electronics Low voltage |
| Content Type | Text |
| Resource Type | Article |
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