CALORIMETER CELL MONITORING TOOL

CALORIMETER CELL MONITORING TOOL

Viacheslav Shary

BEAUNE, 2003 CELL MONITORING TOOL 2

INTRODUCTION

Goals: Detect the problems which were not

found in the previous stages of the data quality check.

Provide the data quality information for further use: e.g. lists of cells, BLSs with unusual large or small signal. This information is of interest for the reconstruction and simulation programs and, of course, for the data analysis.


THE SCHEMERaw calorimeter data from event distributor.

Only ZERO BIAS events.

on-line rcp file off-line rcp file

dq_calo package

Thumbnail calorimeter data. Only ZERO BIAS

events.

text report file (for shifter)

input file for the database

file with root trees


DATA QUALITY (DQ) CHECKEVENT DQ CHECK

N cells, total energy, total squared energy

MET, SET

CELL DQ CHECK (per run)

N entries, total energy, total squared energy

Fraction of bad eventsi.e. events with parameters

out of limits

bad cells and BLSs, i.e. channels with energy and/or RMS out of limits

Run data quality: GOOD, REASONABLE, BADLists: bad cells, bad BLSs, BLSs without signal


BLS QUALITY CRITERIA

BLS is BAD if mean energy E< -1.5 GeV or E > 2.0

GeV; RMS < 0.1 GeV or RMS > 2.5 GeV; more than 5 bad cells in the BLS

bad cell have a mean energy E < -4 GeV or E > 5 GeV

All limits can be changed via rcp file.


RUN QUALITY CRITERIA If percentage of BAD events > 10% the run quality is BAD. Else if number of cells with mean energy out of limits > 24 the

run quality is BAD. Else if number of ZERO_BIAS events in the run < 100 the run

quality is UNKNOWN. Else if number of BLSs without signal > 1 the run quality is

BAD. Else if number of BLSs without signal > 0 the run quality is

REASONABLE. Else if number of BAD BLSs > 0 the run quality is

REASONABLE. Else if percentage of BAD events > 2% the run quality is

REASONABLE. Else the run quality is GOOD.


OUTPUT EXAMPLES

WWW:http://d0-france.in2p3.fr/WORKING_GROUPS/

DQ/

At this page the following information is available.

1. Run list with corresponding qualities

2. Run report with bad cells BLS list

3. 2d histogram for many runs


An example of 2d (-) histograms. The Z axis corresponds to the mean energy per entry in each cell (GeV).


An example of electronics 2d histogram. X is ADC number. Y is serial channel number. Z is the mean energy per entry in the cell (GeV).


RESULTS

RUNS TOTAL

GOOD

REAS.

BAD

UNKN.

160000 - 169999 (August – December)

601 123 413 23 42

170000 - 177681(January – May)

485 238 179 54 14


TYPICAL PROBLEMS (1) Usually runs have 0-2% of bad events,

but some runs have near 25%. These runs have 1 or 2 BLSs with a cell(s) with a huge signal. These runs should be declared BAD, because it can affect physics quantities.

Some runs have no signal from several BLSs. Quality - BAD.

Some runs have no signal from one BLS. Quality - REASONABLE.


TYPICAL PROBLEMS (2) There are runs with large signal in all

BLSs in one crate during some time. Quality - BAD.

Runs have frequently the following problem: 1 or 2 BLSs with a large signal (average signal per entry 2-10 GeV and RMS near 2-10 GeV). Usually these BLSs are the same in several runs. This problem affects missing ET and probably other physics quantities. Quality - REASONABLE.


Missing ET (Ecell>0, without CH) PEAK ~ 2 GeV,

FWHM ~ 3 GeVFWHM/2.36 ~ 1.3 GeV


MISSING ET FOR ZERO BIAS

PEAK, GEVFWHMFWHM/

2.36

all cells E>0 E>100 MeV

all cells 4.57.53.2

3.55.52.3

3.55.52.3

without CH

2.54.51.9

23.01.3

23.01.3


MET for good & reasonable runs

REASONABLE QUALITY

FWHM ~ 3.5 GeV

GOODQUALITY

FWHM ~ 3 GeV


MET for reasonable runsCORRECTION: BAD CELLSAND CELLS IN BAD BLS

ARE NOT USED FORMET CALCULATION

BEFORE CORRECTIO

N

AFTER CORRECTIO

N


MET for good & correc. runs

GOODQUALITY

CORRECTED REASONABLE QUALITY


MET for good & reasonable runs

REASONABLE QUALITY

GOODQUALITY

REASONABLE&

GOODQUALITY


MET for reasonable runs

BEFORE CORRECTIO

N

AFTER CORRECTIO

N

CORRECTION: BAD CELLSAND CELLS IN BAD BLS

ARE NOT USED FORMET CALCULATION


MET for good & correc. runs

GOODQUALITY

CORRECTED REASONABLE

QUALITY


ISSUES & PERSPECTIVES (1) How to organize the permanent monitoring

and feedback with shifters ? The package was tested online by Laurent. How

to proceed further ? In the output text file shifter can find an

information about run problems (lists of bad cells and BLSs).

How to make the data quality information available ? The runs quality database can be used to save

lists of bad cells and BLSs. The bad cells can be removed from calorimeter

data chunk.


ISSUES & PERSPECTIVES (2) Now it’s time to try this tools!

i.e. one can compare analysis results for good and reasonable runs.

What would the next step for calorimeter data quality be ? Are there other hardware failure that we can

detect ? Shared energy problem ? Do we need to look at physics trigger to detect some problem ?

Possibly, one could use clusters (CellNN) from reco to assert the impact of hardware problems on physics. It could also help discover warm zones, local inefficiencies and so on.

CALORIMETER CELL MONITORING TOOL

Documents

Transcript of CALORIMETER CELL MONITORING TOOL