Updates on the PASTA Chip Front-End Valen&no Di Pietro II. - - PowerPoint PPT Presentation

updates on the pasta chip front end
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Updates on the PASTA Chip Front-End Valen&no Di Pietro II. - - PowerPoint PPT Presentation

Updates on the PASTA Chip Front-End Valen&no Di Pietro II. Physikalisches Ins&tut, JLU Gieen PANDA XLVII. Collabora&on Mee&ng GSI, December 10 th , 2013


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SLIDE 1

Updates on the PASTA Chip Front-End

Valen&no ¡Di ¡Pietro ¡

  • II. ¡Physikalisches ¡Ins&tut, ¡JLU ¡Gießen ¡

¡ ¡

PANDA ¡XLVII. ¡Collabora&on ¡Mee&ng ¡ GSI, ¡December ¡10th, ¡2013 ¡

¡

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Contents

① TOFPET front-end

Ø Schematic Ø Performance

② Looking back to September

Ø Front-end chain Ø Performance

③ Updates

Ø Dual-polarity capable architecture

④ Conclusions and perspectives

Panda XLVII. Collaboration Meeting, GSI December 10th, 2013 Valentino Di Pietro

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PASTA Chip

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PASTA Chip

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Based on TOFPET

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SLIDE 5

PASTA Chip

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Based on TOFPET New design

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SLIDE 6

TOFPET Front-End: Schematic

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TOFPET Front-End: Schematic

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Common Gate Stage

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TOFPET Front-End: Performance

Linearity Noise

  • Panda XLVII. Collaboration Meeting, GSI

December 10th, 2013 Valentino Di Pietro

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Simulations by Manuel D. Rolo

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SLIDE 9

TOFPET Front-End: Performance

Linearity Noise

  • Panda XLVII. Collaboration Meeting, GSI

December 10th, 2013 Valentino Di Pietro

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Simulations by Manuel D. Rolo PASTA working range

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SLIDE 10

Back to September

FRONT-END CHAIN

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SLIDE 11

Back to September

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Capable to process ONLY negative polarity signals

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SLIDE 12

Back to September

Panda XLVII. Collaboration Meeting, GSI December 10th, 2013 Valentino Di Pietro

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OK

Capable to process ONLY negative polarity signals

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SLIDE 13

Back to September

Panda XLVII. Collaboration Meeting, GSI December 10th, 2013 Valentino Di Pietro

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Main cause of the non-linearity of the system

OK

Capable to process ONLY negative polarity signals

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SLIDE 14

Back to September

Not yet designed

Panda XLVII. Collaboration Meeting, GSI December 10th, 2013 Valentino Di Pietro

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Main cause of the non-linearity of the system

OK

Capable to process ONLY negative polarity signals

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SLIDE 15

Old Chain Performance

Linearity Noise

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Updates

Ø Introduction of a dual-polarity capable architecture in the first stage (based on the

design made by the BNL group for ATLAS Muon Spectrometer Upgrade)

Ø First attempts to optimize the ToT Stage in order to reduce the non-linearity

  • bserved for low charges

Ø Design of an hysteresis comparator in

  • rder to be less sensitive to the noise

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BNL Architecture

  • Panda XLVII. Collaboration Meeting, GSI

December 10th, 2013 Valentino Di Pietro

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Slide from “VMM – a self-triggered front-end ASIC for ATLAS upgrades” by G. De Geronimo

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PASTA Preamplifier Stage

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PASTA Preamplifier Stage

Panda XLVII. Collaboration Meeting, GSI December 10th, 2013 Valentino Di Pietro

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New Output Stage

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PASTA Preamplifier Stage

Panda XLVII. Collaboration Meeting, GSI December 10th, 2013 Valentino Di Pietro

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Closed

Negative Plarity Configuration

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PASTA Preamplifier Stage

Panda XLVII. Collaboration Meeting, GSI December 10th, 2013 Valentino Di Pietro

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Closed

Positive Plarity Configuration

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Negative Polarity Input: Linearity

Panda XLVII. Collaboration Meeting, GSI December 10th, 2013 Valentino Di Pietro

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MIP

nonLinearity = Mean ToT Qin

( )− f Qin ( )

ToT Qin

( )

" # $ $ % & ' ' = 0.21%

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Positive Polarity Input: Linearity

Panda XLVII. Collaboration Meeting, GSI December 10th, 2013 Valentino Di Pietro

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MIP

nonLinearity = Mean ToT Qin

( )− f Qin ( )

ToT Qin

( )

" # $ $ % & ' ' = 3.27%

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“Dynamic” ToT Stage

Panda XLVII. Collaboration Meeting, GSI December 10th, 2013 Valentino Di Pietro

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“Dynamic” ToT Stage

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IDEAL

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Negative Polarity Input

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Negative Polarity Input

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Minimum detected charge >1fC

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Positive Polarity Input

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Details about the Threshold

Ø Considering a minimum event rate per channel equal to 1kHz, the threshold to have a noise frequency of 1% is:

VTH = −2ln(4 3 ⋅tpeak ⋅ fn) ⋅Vn,rms

Panda XLVII. Collaboration Meeting, GSI December 10th, 2013 Valentino Di Pietro

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Rice, S.O. (1944). “Mathematical Analysis of Random Noise”

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Details about the Threshold

Ø Considering a minimum event rate per channel equal to 1kHz, the threshold to have a noise frequency of 1% is:

VTH = −2ln(4 3 ⋅tpeak ⋅ fn) ⋅Vn,rms

Peaking Time Noise Frequency Rms Noise

Panda XLVII. Collaboration Meeting, GSI December 10th, 2013 Valentino Di Pietro

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Rice, S.O. (1944). “Mathematical Analysis of Random Noise”

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Negative Polarity Input: Noise

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Negative Polarity Input: Noise

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Working Range

Longer Strips Capacitance

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Positive Polarity Input: Noise

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Positive Polarity Input: Noise

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Working Range

Longer Strips Capacitance

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Some important parameters

Parameters Parameters (Qin

in=1fC)

=1fC) Negative Negative Polarity Polarity Input Input Positive Positive Polarity Polarity input input ENC ENC 1.1ke- 800e- SNR ( SNR (Qin

in=4fC)

=4fC) ~ 52 ~ 61 tpeak

peak

21.6ns 23.9ns Output Output rms rms Noise Noise 1.6mV 3.8mV Signal Signal length length (Qin

in=40fC)

=40fC) ~430ns ~400ns

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Old VS New chain

ü Dual-polarity capability ü ENCMAX[Cdet=20pF]: ~1.4ke- à ~1.1ke- (ATLAS noise ~1.5ke-) ✗ Maximum signal length: x2 before

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Conclusions and Perspectives

Ø First two stages: ready for layout Ø Last stage: under study Ø Comparator: layout done Ø Understand key parameters Ø Layout all the stages Ø Submit

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Conclusions and Perspectives

Ø First two stages: ready for layout Ø Last stage: under study Ø Comparator: layout done Ø Understand key parameters Ø Layout all the stages Ø Submit

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Thank you for your kind attention

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Backup Slides

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NIP Configuration

Linearity Residual Plot

Panda XLVII. Collaboration Meeting, GSI December 10th, 2013 Valentino Di Pietro

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PIP Configuration

Linearity Residual Plot

Panda XLVII. Collaboration Meeting, GSI December 10th, 2013 Valentino Di Pietro