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MIMOSA 23 settings MIMOSA 23 settings

MIMOSA 23 settings - PowerPoint Presentation

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MIMOSA 23 settings - PPT Presentation

Elena Rocco Nikhef Utrecht University 24 th October 2013 C urrent status Detector in use FoCal prototype 24 layers 96 chips MIMOSA 23 Non uniform response f rom the testbeam ID: 342895

open rocco vref2 point rocco open point vref2 settings unbalance left transfer discriminator function chip chips vref1 scan data

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Presentation Transcript

Slide1

MIMOSA 23 settings

Elena Rocco

Nikhef

-Utrecht University

24

th

October 2013Slide2

Current

status

Detector in use:

FoCal prototype; 24 layers , 96 chips (MIMOSA 23)Non uniform response: from the testbeam data analysis we noticed that we have large variation in sensitivity from chip to chipSettings in use: settings used during the test beam: Vref2=80 Vref1 optimised per single chipTests in lab:“pedestal” measurements -> systematic studies in Vref1 and Vref2Cosmic data taking (for given threshold settings to study the MIP response) Only digital R/0 available (no voltage reading)

10/24/13

E. Rocco

2Slide3

Open points (1)

I

mpossibility

to get the discriminator transfer function normalised from 0 to 110/24/13E. Rocco3Slide4

Open point (2)

The normalisation of the firing pixels to 1 hides possible pathological behaviour

10/24/13

E. Rocco4Slide5

Open point (3)

Different Vref1 settings -> different discriminator transfer

functions

10/24/13E. Rocco5Slide6

Open point (3) another example

10/24/13

E. Rocco

6Slide7

Open point (4): unbalance left-right

10/24/13

E. Rocco

7All the chips have Vref2=80: unexpected unbalance!!!Some unbalanced chips present hot columns/rows/pixels Slide8

Open point (4)

Scan in Vref2 looking at the unbalance

left-right

10/24/13E. Rocco8Slide9

Open point (4) another example

Scan in Vref2 looking at the unbalance

left-right

10/24/13E. Rocco9Which is the procedure to get the best Vref2 value then?Slide10

Open point (5)

The discriminator transfer function fit

10/24/13

E. Rocco10From the paper (NIM A 602 (2009) 461-466). “..One can fit with an erf (error function) to this curve. Its derivative gives a gaussian (normal) distribution.the FWHM is ~2.35 σ

, and its mean give the offset of the comparator, where σ is the rms

temporal noise.”

Question: can we do

th

e same operation but with the digital readout?Slide11

Open point (6):

clustersize

(chip 8&9)

10/24/13E. Rocco11Slide12

Open point (6):

clustersize

(chip

10&11)10/24/13E. Rocco12Slide13

More questions might come….

THANK YOU!

10/24/13

E. Rocco13