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Recent development on triple well 130 nm CMOS MAPS with in-pixel signal processing and data sparsification capability

Conference Paper
Publication Date:
2008
Short description:
(2008). Recent development on triple well 130 nm CMOS MAPS with in-pixel signal processing and data sparsification capability . Retrieved from http://hdl.handle.net/10446/138829
abstract:
A different approach to the design of CMOS MAPS has recently been proposed. By exploiting the triple well option of a CMOS commercial process, a deep n-well (DNW) MAPS sensor has been realized with a full in-pixel signal processing chain: charge preamplifier, shaper, discriminator and a latch. This readout approach beeing compatible with data sparsification will improve the readout speed potential of MAPS sensors. The first protoype chips, realized with STMicroelectronics 130 nm triple well process, proved the new design proposed for DNW MAPS is viable with a good sensitivity to photons from 55Fe and electrons from 90Sr. Extensive tests performed to characterize the second generation of the APSEL chips based on the DNW MAPS design are reported. Small 3x3 pixel matrices with full analog output have been tested with radioactive sources to characterize charge collection. Pixel noise equivalent charge (ENC) of 50 e- and Signal-to-Noise ratio for MIPs of about 14 have been measured. Improved pixel noise and reduced threshold dispersion (about 100 e-) have been measured in the 8x8 matrix with a sequential readout. Based on the new DNW MAPS design a dedicated fast readout architecture to perform on-chip data sparsification is currently under development. The aim is to incorporate in the same detector the advantages of the thin CMOS sensors and similar functionalities as in hybrid pixels.
Iris type:
1.4.01 Contributi in atti di convegno - Conference presentations
List of contributors:
Rizzo, G.; Batignani, G.; Bettarini, S.; Bosi, F.; Calderini, G.; Cenci, R.; Cervelli, A.; Dell’Orso, M.; Forti, F.; Giannetti, P.; Giorgi, M. A.; Lusiani, A.; Marchiori, G.; Massa, M.; Morsani, F.; Neri, N.; Paoloni, E.; Walsh, J.; Andreoli, C.; Gaioni, Luigi; Pozzati, E.; Ratti, L.; Speziali, V.; Manghisoni, Massimo; Re, Valerio; Traversi, Gianluca; Bomben, M.; Bosisio, L.; Giacomini, G.; Lanceri, L.
Authors of the University:
GAIONI Luigi
MANGHISONI Massimo
RE Valerio
TRAVERSI Gianluca
Handle:
https://aisberg.unibg.it/handle/10446/138829
Book title:
2007 IEEE Nuclear Science Symposium Conference Record: Nuclear Science Symposium, Medical Imaging Conference, October 27 — November 3, 2007, Hilton Hawaiian Village Beach Resort & Spa, Honolulu, Hawaii
Published in:
IEEE CONFERENCE RECORD - NUCLEAR SCIENCE SYMPOSIUM & MEDICAL IMAGING CONFERENCE
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Settore ING-INF/01 - Elettronica
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