CFEL - ASG Software Suite  2.5.0
CASS
Public Member Functions | Protected Member Functions | Private Types | Private Attributes | List of all members
cass::pp330 Class Reference

pixel detector calibrations More...

#include <pixel_detector_calibration.h>

+ Inheritance diagram for cass::pp330:
+ Collaboration diagram for cass::pp330:

Public Member Functions

 pp330 (const name_t &)
 constructor. More...
 
virtual void process (const CASSEvent &, result_t &)
 overwrite default behaviour don't do anything More...
 
virtual void loadSettings (size_t)
 load the settings of this pp More...
 
virtual void aboutToQuit ()
 write the calibrations before quitting More...
 
virtual void processCommand (std::string command)
 react on when the gui clients tell this to start the calibration More...
 
- Public Member Functions inherited from cass::AccumulatingProcessor
 AccumulatingProcessor (const name_t &name)
 constructor More...
 
virtual ~AccumulatingProcessor ()
 virtual destructor More...
 
virtual void processEvent (const CASSEvent &evt)
 process the event More...
 
virtual const result_tresult (const CASSEvent::id_t)
 retrieve a result. More...
 
virtual void releaseEvent (const CASSEvent &)
 overwrite default behaviour to do nothing More...
 
virtual void createHistList (result_t::shared_pointer result)
 create the list of results More...
 
- Public Member Functions inherited from cass::Processor
 Processor (const name_t &name)
 constructor More...
 
virtual ~Processor ()
 virtual destructor More...
 
result_t::shared_pointer resultCopy (const uint64_t eventid)
 retrieve histogram for id More...
 
virtual void load ()
 load the general settings More...
 
const names_tdependencies ()
 Define all processors keys a processor depends on. More...
 
void clearDependencies ()
 clear the dependenies More...
 
void clearHistograms ()
 clear the histograms More...
 
const name_t name () const
 retrieve the name of this processor More...
 
bool hide () const
 retrieve the hide flag of this processor More...
 
const std::string & comment () const
 retrieve the comment of this processor More...
 

Protected Member Functions

void loadCalibration ()
 write the calibration data to file More...
 
void writeCalibration ()
 write the calibration data to file More...
 
void setBadPixMap ()
 set up the bad pixel map More...
 
void cummulativeUpdate (result_t::const_iterator image, result_t::iterator meanAr, result_t::iterator stdvAr, result_t::iterator nValsAr, const size_t sizeOfImage)
 a cummulative average and variance calculation More...
 
void movingUpdate (result_t::const_iterator image, result_t::iterator meanAr, result_t::iterator stdvAr, result_t::iterator nValsAr, const size_t sizeOfImage)
 a moving exponential average and variance calculation More...
 
- Protected Member Functions inherited from cass::Processor
virtual void createHistList (result_t::shared_pointer result)
 create result list. More...
 
void setupGeneral ()
 general setup of the processor More...
 
bool setupCondition (bool defaultConditionType=true)
 setup the condition. More...
 
shared_pointer setupDependency (const std::string &depVarName, const name_t &name="")
 setup the dependecy. More...
 

Private Types

enum  {
  MEAN, STDV, NVALS, BADPIX,
  nbrOfOutputs
}
 define the position of the beginning of the different maps More...
 
typedef std::tr1::function< void(result_t::const_iterator, result_t::iterator, result_t::iterator, result_t::iterator, const size_t)> updateFunc_t
 define the function More...
 

Private Attributes

updateFunc_t _updateStatistics
 the function that will update the statistics More...
 
size_t _meanBeginOffset
 the offset to the first point of the mean array in the result More...
 
size_t _meanEndOffset
 the offset to one beyond the last point of the mean array in the result More...
 
size_t _stdvBeginOffset
 the offset to the first point of the stdv array in the result More...
 
size_t _stdvEndOffset
 the offset to one beyond the last point of the stdv array in the result More...
 
size_t _bPixBeginOffset
 the offset to the first point of the bad pixels array in the result More...
 
size_t _bPixEndOffset
 the offset to one beyond the last point of the bad pixels array in the result More...
 
size_t _nValBeginOffset
 the offset to the first point of the counts array in the result More...
 
size_t _nValEndOffset
 the offset to the first point of the counts array in the result More...
 
float _NoiseLowerBound
 the lower noise boundary when determining bad pixels More...
 
float _NoiseUpperBound
 the upper noise boundary when determining bad pixels More...
 
float _autoNoiseSNR
 the signal to noise ratio that determines the noise boundaries in case of automatically determining the boundaries from the noise values statistics More...
 
float _autoNoiseSNRStat
 the signal to noise ratio that determines which values will be taken into account when automatically determining the boundaries from the noise values statistics More...
 
float _OffsetLowerBound
 the lower offset boundary when determining bad pixels More...
 
float _OffsetUpperBound
 the upper offset boundary when determining bad pixels More...
 
float _autoOffsetSNR
 the signal to noise ratio that determines the offset boundaries in case of automatically determining the boundaries from the noise values statistics More...
 
float _autoOffsetSNRStat
 the signal to noise ratio that determines which values will be taken into account when automatically determining the boundaries from the offset values statistics More...
 
float _minNbrPixels
 minimum number of pixels in the trainig set that are part of the distribution More...
 
shared_pointer _image
 the raw image More...
 
bool _train
 flag telling whether training is needed More...
 
std::vector< result_t::shared_pointer_trainstorage
 the storage for the training images More...
 
size_t _minTrainImages
 the minimum nbr of images necessary for training More...
 
bool _write
 flag to tell whether the calibration should be written More...
 
float _snr
 the value above which outliers are removed from the distribution More...
 
std::string _filename
 the filename that is used to save the calibration More...
 
std::string _infilename
 the filename that is used to load the calibration More...
 
bool _resetBadPixel
 flag to tell when the bad pixel should be reset More...
 
size_t _counter
 counter to count the total amount of images More...
 
bool _update
 flag to tell whether the calibration should be updated after the training has completed. More...
 
int _updatePeriod
 the period after which the data should be autosaved More...
 
float _alpha
 the alpha value for the moving average and stdv More...
 
uint32_t _lastwritten
 the time_t value of the last time the calibration was written More...
 
uint32_t _updateWritePeriod
 the update time period in s More...
 

Additional Inherited Members

- Public Types inherited from cass::Processor
typedef std::tr1::shared_ptr< Processorshared_pointer
 a shared pointer of this More...
 
typedef std::string name_t
 define the name type More...
 
typedef std::list< name_tnames_t
 define the list of names More...
 
typedef CachedList::item_type result_t
 define the results More...
 
typedef CachedList::item_sp resultsp_t
 define the shared pointer to the result More...
 
- Protected Attributes inherited from cass::AccumulatingProcessor
result_t::shared_pointer _result
 the result that accumulates the events More...
 
size_t _nbrEventsAccumulated
 the number of events the processor has accumulated More...
 
- Protected Attributes inherited from cass::Processor
const name_t _name
 the processors name More...
 
bool _hide
 flag to tell whether this pp should be hidden in the dropdown list More...
 
std::string _comment
 optional comment that one can add to a processor. More...
 
CachedList _resultList
 the list of results More...
 
names_t _dependencies
 the list of dependencies More...
 
shared_pointer _condition
 pointer to the processor that will contain the condition More...
 

Detailed Description

pixel detector calibrations

Available PostProcessors:
"330": pixel detector calibrations
See also
Processor for a list of all commonly available cass.ini settings.
User definable Parameters:

Processor/%name%/{RawImage}
the raw image of the pixel detector

Processor/%name%/{OutputFilename}
the name of the file where the calibration will be written to. Default is "NotSet", in which case a filename will be automatically generated from the time and name of the Processor and a link to the autogenerated file name will be created which has the same name but without the time.

Processor/%name%/{WriteCal}
Flag to tell whether the calibration should be written. Default is true.

Processor/%name%/{Train}
Flag to tell whether training should be done. Default is true

Processor/%name%/{NbrTrainingImages}
The Number of images used for the training. Default is 200

Processor/%name%/{SNR}
The signal to noise value that indicates whether a pixel is an outlier of the distribution of pixels in the trainingset and should not be considered. Default is 4.

Processor/%name%/{SNRNoiseAutoBoundaries}
The signal to noise ratio for determining the boundary values of bad pixels from the noise map. If this value is negative the manual set values will be taken from the values below. Otherwise the mean value and the standart deviation of all noise values will be calculated and boundaries are set to $ bound_{upper} = mean + (SNRNoiseAutoBoundaries * stdv) $ $ bound_{lower} = mean - (SNRNoiseAutoBoundaries * stdv) $ Default is 4.

Processor/%name%/{SNRNoiseAutoBoundariesStat}
In case of using auto generation of the boundaries this signal to \ noise ratio determines which values will be taken when calculating the mean and stdv of the distribution. Default is 4.

Processor/%name%/{NoiseLowerBoundary|NoiseUpperBoundary}
In case the SNRNoiseAutoBoundaries is negative these values will be taken to determine the bad pixels from the noise map. Default is 0|3.

Processor/%name%/{SNROffsetAutoBoundaries}
The signal to noise ratio for determining the boundary values of bad pixels from the offset map. If this value is negative the manual set values will be taken from the values below. Otherwise the mean value and the standart deviation of all noise values will be calculated and boundaries are set to $ bound_{upper} = mean + (SNROffsetAutoBoundaries * stdv) $ $ bound_{lower} = mean - (SNROffsetAutoBoundaries * stdv) $ Default is -1.

Processor/%name%/{SNROffsetAutoBoundariesStat}
In case of using auto generation of the boundaries this signal to \ noise ratio determines which values will be taken when calculating the mean and stdv of the distribution. Default is 4.

Processor/%name%/{OffsetLowerBoundary|OffsetUpperBoundary}
In case the SNROffsetAutoBoundaries is negative these values will be taken to determine the bad pixels from the offset map. Default is -1e20|1e20.

Processor/%name%/{MinNbrPixels}
The minimum amount of pixels of the trainingset that are required for the individual pixel. The value is given in percent of the total amount of pixels available. If the amount is lower than this value, the pixel will be marked as bad. Default is 90

Processor/%name%/{InputFilename}
The input filname of the calibration file. If it is "NotSet" it assumes a filename of "\%name\%.lnk" and tries to find the link target. If it can't find it, it will skip loading of the calibration file. This also happens if another filename is given, but the file can't be opened or the size of the images in the file and the Rawimages differ. Program execution won't be stopped only an error is written into the log file. Default is "NotSet"

Processor/%name%/{ResetBadPixels}
When set to true, it will reset a bad pixel to good if the pixel is within the checks for beeing good (with in the Noise range and enough good values). Default is false, which keeps it marked as bad.

Processor/%name%/{UpdateCalibration}
Flag to tell whether after the training has completed that the calibration should be updated with more images. Default is true.

Processor/%name%/{UpdateCalibrationType}
The type of update used. Default value is "cummulative". Possible values are:

  • "cummulative": A cummulative update
  • "moving": A exponential moving update

Processor/%name%/{NbrOfImages}
In case of using the moving update type, this tells how many images should be considered in the exponential moving average and standart deviation estimation.

Processor/%name%/{UpdateBadPixPeriod}
After how many received images should the bad pixel map be updated If negative, no updates will be made. Default is -1.

Processor/%name%/{WritePeriod}
When automagically updating the dark, this gives the time in seconds between two writings of the darkcalibration file. Note that a manual call to the training will force writing even though the time between two writes has not ellapsed. Default is 0, which causes no auto writing

Author
Lutz Foucar

Definition at line 125 of file pixel_detector_calibration.h.

Member Typedef Documentation

define the function

Definition at line 193 of file pixel_detector_calibration.h.

Member Enumeration Documentation

anonymous enum
private

define the position of the beginning of the different maps

Enumerator
MEAN 
STDV 
NVALS 
BADPIX 
nbrOfOutputs 

Definition at line 200 of file pixel_detector_calibration.h.

Constructor & Destructor Documentation

pp330::pp330 ( const name_t name)

constructor.

Definition at line 38 of file pixel_detector_calibration.cpp.

References loadSettings().

Member Function Documentation

void pp330::aboutToQuit ( )
virtual

write the calibrations before quitting

Reimplemented from cass::Processor.

Definition at line 341 of file pixel_detector_calibration.cpp.

References _write, and writeCalibration().

void pp330::cummulativeUpdate ( result_t::const_iterator  image,
result_t::iterator  meanAr,
result_t::iterator  stdvAr,
result_t::iterator  nValsAr,
const size_t  sizeOfImage 
)
protected

a cummulative average and variance calculation

Parameters
[in]imagereference to the image array

if pixel is outlier skip pixel

Definition at line 362 of file pixel_detector_calibration.cpp.

References _snr.

Referenced by loadSettings().

void pp330::loadCalibration ( )
protected

write the calibration data to file

If offset filename is a link, try to deduce the real filename Otherwise check if file exists

in case the previous was just a link set the info the real name and get the creation data

read the data from the file

check if data is of the right size

copy it to the result container

set the number of fills to the number of training images

set up the bad pixel map

Definition at line 144 of file pixel_detector_calibration.cpp.

References _infilename, _lastwritten, _meanBeginOffset, _minTrainImages, _nValBeginOffset, _nValEndOffset, cass::AccumulatingProcessor::_result, _stdvBeginOffset, cass::Log::add(), cass::Result< T >::begin(), QFileInfo::created(), cass::Log::ERROR, QFileInfo::exists(), QString::fromStdString(), QFileInfo::isSymLink(), cass::Processor::name(), nbrOfOutputs, cass::AccumulatingProcessor::result(), setBadPixMap(), QFileInfo::setFile(), cass::Result< T >::shape(), size, QFileInfo::symLinkTarget(), cass::toString(), and cass::Log::VERBOSEINFO.

Referenced by loadSettings().

void pp330::loadSettings ( size_t  )
virtual
void pp330::movingUpdate ( result_t::const_iterator  image,
result_t::iterator  meanAr,
result_t::iterator  stdvAr,
result_t::iterator  nValsAr,
const size_t  sizeOfImage 
)
protected

a moving exponential average and variance calculation

taken from http://mathforum.org/kb/message.jspa?messageID=1637905

Parameters
[in]imagereference to the image array

if pixel is outlier skip pixel

update the estimate of the mean and stdv

Definition at line 391 of file pixel_detector_calibration.cpp.

References _alpha, and _snr.

Referenced by loadSettings().

void pp330::process ( const CASSEvent evt,
result_t result 
)
virtual

overwrite default behaviour don't do anything

Note
we shouldn't use else here, because in this case we need one more, but unused image to start the calibration

mask bad pixels based upon the calibration

write the calibration

reset the training variables

add current image to statistics of the calibration

update the bad pix map and the file if requested

Reimplemented from cass::Processor.

Definition at line 418 of file pixel_detector_calibration.cpp.

References _counter, _image, _lastwritten, _meanBeginOffset, _minTrainImages, _nValBeginOffset, _snr, _stdvBeginOffset, _train, _trainstorage, _update, _updatePeriod, _updateStatistics, _updateWritePeriod, _write, cass::Log::add(), cass::CummulativeStatisticsNoOutlier< Type >::addDatum(), cass::Result< T >::begin(), cass::Result< T >::clone(), QDateTime::currentDateTime(), cass::CASSEvent::id(), cass::Log::INFO, cass::Result< T >::lock, cass::CummulativeStatisticsNoOutlier< Type >::mean(), cass::Processor::name(), cass::CummulativeStatisticsNoOutlier< Type >::nbrPointsUsed(), setBadPixMap(), cass::Result< T >::shape(), cass::CummulativeStatisticsNoOutlier< Type >::stdv(), and writeCalibration().

void pp330::processCommand ( std::string  command)
virtual

react on when the gui clients tell this to start the calibration

Parameters
commandThe command that was issued by the gui clients

if the command orders us to start the darkcal, clear all variables and start the calibration

Reimplemented from cass::Processor.

Definition at line 347 of file pixel_detector_calibration.cpp.

References _counter, _train, _trainstorage, cass::Log::add(), cass::Log::INFO, and cass::Processor::name().

void pp330::setBadPixMap ( )
protected

set up the bad pixel map

get iterators to the mean, mask, nVals and stdv values

boundaries for bad pixels based upon the noise map

calculate the value boundaries for bad pixels from the statistics of the stdv values remove outliers when calculating the mean and stdv

boundaries for bad pixels based upon the offset map

calculate the value boundaries for bad pixels from the statistics of the stdv values

set all pixels as bad, whos noise or offset value is an outlier of the statistics of the noise values, or offset values.

set bad pixel or reset if requested

Definition at line 270 of file pixel_detector_calibration.cpp.

References _autoNoiseSNR, _autoNoiseSNRStat, _autoOffsetSNR, _autoOffsetSNRStat, _bPixBeginOffset, _counter, _meanBeginOffset, _meanEndOffset, _minNbrPixels, _NoiseLowerBound, _NoiseUpperBound, _nValBeginOffset, _OffsetLowerBound, _OffsetUpperBound, _resetBadPixel, cass::AccumulatingProcessor::_result, _stdvBeginOffset, _stdvEndOffset, cass::Log::add(), cass::CummulativeStatisticsNoOutlier< Type >::addDistribution(), cass::Result< T >::begin(), cass::Log::INFO, cass::CummulativeStatisticsNoOutlier< Type >::mean(), cass::Processor::name(), nbrOfOutputs, cass::AccumulatingProcessor::result(), cass::Result< T >::shape(), cass::CummulativeStatisticsNoOutlier< Type >::stdv(), and cass::toString().

Referenced by loadCalibration(), and process().

void pp330::writeCalibration ( )
protected

write the calibration data to file

check if a proper name is given otherwise autogenerate a name from the name of the processor and the current time

write the calibration to the file

remember when this was written

if no proper filename was given, create a link to the current file with a more general filename

Definition at line 216 of file pixel_detector_calibration.cpp.

References _filename, _lastwritten, _meanBeginOffset, _meanEndOffset, cass::AccumulatingProcessor::_result, _stdvBeginOffset, _stdvEndOffset, cass::Result< T >::begin(), QDateTime::currentDateTime(), QFile::exists(), QString::fromStdString(), QFile::link(), cass::Processor::name(), nbrOfOutputs, QFile::remove(), cass::AccumulatingProcessor::result(), cass::Result< T >::shape(), QDateTime::toString(), and QDateTime::toTime_t().

Referenced by aboutToQuit(), and process().

Member Data Documentation

float cass::pp330::_alpha
private

the alpha value for the moving average and stdv

Definition at line 302 of file pixel_detector_calibration.h.

Referenced by loadSettings(), and movingUpdate().

float cass::pp330::_autoNoiseSNR
private

the signal to noise ratio that determines the noise boundaries in case of automatically determining the boundaries from the noise values statistics

Definition at line 235 of file pixel_detector_calibration.h.

Referenced by loadSettings(), and setBadPixMap().

float cass::pp330::_autoNoiseSNRStat
private

the signal to noise ratio that determines which values will be taken into account when automatically determining the boundaries from the noise values statistics

Definition at line 241 of file pixel_detector_calibration.h.

Referenced by loadSettings(), and setBadPixMap().

float cass::pp330::_autoOffsetSNR
private

the signal to noise ratio that determines the offset boundaries in case of automatically determining the boundaries from the noise values statistics

Definition at line 252 of file pixel_detector_calibration.h.

Referenced by loadSettings(), and setBadPixMap().

float cass::pp330::_autoOffsetSNRStat
private

the signal to noise ratio that determines which values will be taken into account when automatically determining the boundaries from the offset values statistics

Definition at line 258 of file pixel_detector_calibration.h.

Referenced by loadSettings(), and setBadPixMap().

size_t cass::pp330::_bPixBeginOffset
private

the offset to the first point of the bad pixels array in the result

Definition at line 215 of file pixel_detector_calibration.h.

Referenced by loadSettings(), and setBadPixMap().

size_t cass::pp330::_bPixEndOffset
private

the offset to one beyond the last point of the bad pixels array in the result

Definition at line 218 of file pixel_detector_calibration.h.

Referenced by loadSettings().

size_t cass::pp330::_counter
private

counter to count the total amount of images

Definition at line 291 of file pixel_detector_calibration.h.

Referenced by loadSettings(), process(), processCommand(), and setBadPixMap().

std::string cass::pp330::_filename
private

the filename that is used to save the calibration

Definition at line 282 of file pixel_detector_calibration.h.

Referenced by loadSettings(), and writeCalibration().

shared_pointer cass::pp330::_image
private

the raw image

Definition at line 264 of file pixel_detector_calibration.h.

Referenced by loadSettings(), and process().

std::string cass::pp330::_infilename
private

the filename that is used to load the calibration

Definition at line 285 of file pixel_detector_calibration.h.

Referenced by loadCalibration(), and loadSettings().

uint32_t cass::pp330::_lastwritten
private

the time_t value of the last time the calibration was written

Definition at line 305 of file pixel_detector_calibration.h.

Referenced by loadCalibration(), loadSettings(), process(), and writeCalibration().

size_t cass::pp330::_meanBeginOffset
private

the offset to the first point of the mean array in the result

Definition at line 203 of file pixel_detector_calibration.h.

Referenced by loadCalibration(), loadSettings(), process(), setBadPixMap(), and writeCalibration().

size_t cass::pp330::_meanEndOffset
private

the offset to one beyond the last point of the mean array in the result

Definition at line 206 of file pixel_detector_calibration.h.

Referenced by loadSettings(), setBadPixMap(), and writeCalibration().

float cass::pp330::_minNbrPixels
private

minimum number of pixels in the trainig set that are part of the distribution

Definition at line 261 of file pixel_detector_calibration.h.

Referenced by loadSettings(), and setBadPixMap().

size_t cass::pp330::_minTrainImages
private

the minimum nbr of images necessary for training

Definition at line 273 of file pixel_detector_calibration.h.

Referenced by loadCalibration(), loadSettings(), and process().

float cass::pp330::_NoiseLowerBound
private

the lower noise boundary when determining bad pixels

Definition at line 227 of file pixel_detector_calibration.h.

Referenced by loadSettings(), and setBadPixMap().

float cass::pp330::_NoiseUpperBound
private

the upper noise boundary when determining bad pixels

Definition at line 230 of file pixel_detector_calibration.h.

Referenced by loadSettings(), and setBadPixMap().

size_t cass::pp330::_nValBeginOffset
private

the offset to the first point of the counts array in the result

Definition at line 221 of file pixel_detector_calibration.h.

Referenced by loadCalibration(), loadSettings(), process(), and setBadPixMap().

size_t cass::pp330::_nValEndOffset
private

the offset to the first point of the counts array in the result

Definition at line 224 of file pixel_detector_calibration.h.

Referenced by loadCalibration(), and loadSettings().

float cass::pp330::_OffsetLowerBound
private

the lower offset boundary when determining bad pixels

Definition at line 244 of file pixel_detector_calibration.h.

Referenced by loadSettings(), and setBadPixMap().

float cass::pp330::_OffsetUpperBound
private

the upper offset boundary when determining bad pixels

Definition at line 247 of file pixel_detector_calibration.h.

Referenced by loadSettings(), and setBadPixMap().

bool cass::pp330::_resetBadPixel
private

flag to tell when the bad pixel should be reset

Definition at line 288 of file pixel_detector_calibration.h.

Referenced by loadSettings(), and setBadPixMap().

float cass::pp330::_snr
private

the value above which outliers are removed from the distribution

Definition at line 279 of file pixel_detector_calibration.h.

Referenced by cummulativeUpdate(), loadSettings(), movingUpdate(), and process().

size_t cass::pp330::_stdvBeginOffset
private

the offset to the first point of the stdv array in the result

Definition at line 209 of file pixel_detector_calibration.h.

Referenced by loadCalibration(), loadSettings(), process(), setBadPixMap(), and writeCalibration().

size_t cass::pp330::_stdvEndOffset
private

the offset to one beyond the last point of the stdv array in the result

Definition at line 212 of file pixel_detector_calibration.h.

Referenced by loadSettings(), setBadPixMap(), and writeCalibration().

bool cass::pp330::_train
private

flag telling whether training is needed

Definition at line 267 of file pixel_detector_calibration.h.

Referenced by loadSettings(), process(), and processCommand().

std::vector< result_t::shared_pointer > cass::pp330::_trainstorage
private

the storage for the training images

Definition at line 270 of file pixel_detector_calibration.h.

Referenced by loadSettings(), process(), and processCommand().

bool cass::pp330::_update
private

flag to tell whether the calibration should be updated after the training has completed.

Definition at line 296 of file pixel_detector_calibration.h.

Referenced by loadSettings(), and process().

int cass::pp330::_updatePeriod
private

the period after which the data should be autosaved

Definition at line 299 of file pixel_detector_calibration.h.

Referenced by loadSettings(), and process().

updateFunc_t cass::pp330::_updateStatistics
private

the function that will update the statistics

Definition at line 196 of file pixel_detector_calibration.h.

Referenced by loadSettings(), and process().

uint32_t cass::pp330::_updateWritePeriod
private

the update time period in s

Definition at line 308 of file pixel_detector_calibration.h.

Referenced by loadSettings(), and process().

bool cass::pp330::_write
private

flag to tell whether the calibration should be written

Definition at line 276 of file pixel_detector_calibration.h.

Referenced by aboutToQuit(), loadSettings(), and process().


The documentation for this class was generated from the following files: