lin-epics-modules/ADAndor
0
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity
Files
d3253f4e97ff64641da8a352d7f0f0f3f02450fb
ADAndor/documentation/MarCCDDoc.html
rivers a32274ba6d New file for MarCCD 
git-svn-id: https://subversion.xor.aps.anl.gov/synApps/areaDetector/trunk@7822 dc6c5ff5-0b8b-c028-a01f-ffb33f00fc8b
2008-11-14 23:27:48 +00:00

1015 lines
43 KiB
HTML
Executable File
Raw Blame History

<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<title>areaDetector MarCCD driver</title>
</head>
<body>
<div style="text-align: center">
<h1>
areaDetector MarCCD driver</h1>
<h2>
November 12, 2008</h2>
<h2>
Mark Rivers</h2>
<h2>
University of Chicago</h2>
</div>
<h2>
Table of Contents</h2>
<ul>
<li><a href="#Introduction">Introduction</a></li>
<li><a href="#StandardNotes">Implementation of standard driver parameters</a></li>
<li><a href="#Driver_parameters">MarCCD specific parameters</a></li>
<li><a href="#Unsupported">Unsupported standard driver parameters</a></li>
<li><a href="#Screenshots">Screenshots</a></li>
<li><a href="#Configuring">Configuring</a></li>
<li><a href="#Performance measurements">Performance measurements</a> </li>
<li><a href="#Hardware notes">Hardware notes</a> </li>
<li><a href="#Restrictions">Restrictions</a> </li>
</ul>
<h2 id="Introduction" style="text-align: left">
Introduction</h2>
<p>
This is a driver for the MarCCD detectors from <a href="http://www.mar-usa.com/">Rayonix/MarUSA</a>.
It inherits from ADDriver and implements many of the parameters in ADStdDriverParams.h.
It also implements a number of parameters that are specific to the MarCCD detectors.</p>
<p>
The interface to the detector is via a TCP/IP socket interface to the <b>marccd_server_socket</b>
server that MarUSA provides. The marccd_server_socket program must be started before
the areaDetector software is started, by running the marccd program and executing
Acquire/Remote Control/Start.
</p>
<p>
The marccd program saves the data to disk as TIFF files. The areaDetector software
reads these disk files in order to read the data, because marccd does not provide
another mechanism to access the data.
</p>
<h2 id="StandardNotes" style="text-align: left">
Implementation of standard driver parameters</h2>
<p>
The following table describes how the MarCCD driver implements some of the standard
driver parameters.
</p>
<table border="1" cellpadding="2" cellspacing="2" style="text-align: left">
<tbody>
<tr>
<td align="center" colspan="3">
<b>Parameter Definitions in marccd.cpp and EPICS Record Definitions in marccd.template</b></td>
</tr>
<tr>
<th>
Enum name</th>
<th>
EPICS record name</th>
<th>
Description</th>
</tr>
<tr>
<td>
ADFrameType</td>
<td>
$(P$(R)FrameType</td>
<td>
The driver redefines the choices for the ADFrameType parameter (record $(P)$(R)FrameType)
from ADStdDriverParams.h. The choices for the MarCCD are:
<ul>
<li>Normal (corrected data frame without double correlatino)</li>
<li>Background (background frame with 0 exposure time, double correlation to remove
zingers)</li>
<li>Raw (data frame without correction for background or spatial distortion)</li>
<li>Multiple External Trigger (high to low transition on external signal triggers
a single acquisition for the programmed exposure time)</li>
<li>DblCorrelation (two images each collected for half the nominal acquisition time,
zingers removed by double correlation)</li>
</ul>
</td>
</tr>
<tr>
<td>
ADNumImages</td>
<td>
$(P$(R)NumImages</td>
<td>
Controls the number of images to acquire when ADImageMode is ADImageMultiple.</td>
</tr>
<tr>
<td>
ADAcquirePeriod</td>
<td>
$(P$(R)AcquirePeriod</td>
<td>
Controls the period between images when ADImageMode is ADImageMultiple or ADImageContinuous.
If this is greater than the acquisition time plus readout overhead then the driver
will wait until the period has elapsed before starting the next acquisition.</td>
</tr>
<tr>
<td>
ADFilePath</td>
<td>
$(P$(R)FilePath</td>
<td>
Controls the path for saving images. It must be a valid path for marccd <i>and</i>
for the areaDetector driver, which is normally running in an EPICS IOC. If marccd
and the EPICS IOC are not running on the same machine then soft links will typically
be used to make the paths look identical.</td>
</tr>
<tr>
</tr>
<td>
ADFileFormat</td>
<td>
$(P)$(R)FileFormat</td>
<td>
marccd only supports TIFF files.
</td>
</tbody>
</table>
<p>
It is useful to use NDPluginROI to define an ROI containing the entire marccd detector.
The MaxValue_RBV PV in this ROI can be monitored to make sure that the 16-bit limit
of 65,535 is not being approached in any pixel.
</p>
<h2 id="Driver_parameters" style="text-align: left">
MarCCD specific parameters</h2>
<p>
The MarCCD driver implements the following parameters in addition to those in ADStdDriverParams.h:.
Note that to reduce the width of this table the enum names have been split into
2 lines, but these are just a single name, for example <code>PilatusDelayTime</code>.
</p>
<table border="1" cellpadding="2" cellspacing="2" style="text-align: left">
<tbody>
<tr>
<td align="center" colspan="7">
<b>Parameter Definitions in marccd.cpp and EPICS Record Definitions in marccd.template</b></td>
</tr>
<tr>
<th>
Enum name</th>
<th>
asyn interface</th>
<th>
Access</th>
<th>
Description</th>
<th>
drvUser string</th>
<th>
EPICS record name</th>
<th>
EPICS record type</th>
</tr>
<tr>
<td align="center" colspan="7">
<b>Status parameters</b></td>
</tr>
<tr>
<td>
marCCD<br />
State</td>
<td>
asynInt32</td>
<td>
r/o</td>
<td>
State word returned by marccd server. The low-order 4-bits of this word are the
state of the marccd server, and will be Idle (0x0), Error (0x7), or Busy (0x8).
The next 20 bits encode the state of the 5 server tasks (Acquire, Readout, Correct,
Save, Dezinger) with 4-bits per task. Each task can be in the state Idle (0x0),
Queued (0x1), Executing (0x2), Error (0x4), or Reserved (0x8).</td>
<td>
MAR_STATE</td>
<td>
$(P)$(R)MarState_RBV</td>
<td>
longin</td>
</tr>
<tr>
<td>
marCCD<br />
Status</td>
<td>
asynInt32</td>
<td>
r/o</td>
<td>
Status of the marccd server task (Idle, Error, or Busy)</td>
<td>
MAR_STATUS</td>
<td>
$(P)$(R)MarStatus_RBV</td>
<td>
mbbi</td>
</tr>
<tr>
<td>
marCCDTask<br />
AcquireStatus</td>
<td>
asynInt32</td>
<td>
r/o</td>
<td>
Status of the marccd server acquire task (Idle, Queued, Executing, Error, or Reserved)</td>
<td>
MAR_ACQUIRE_STATUS</td>
<td>
$(P)$(R)MarAcquireStatus_RBV</td>
<td>
mbbi</td>
</tr>
<tr>
<td>
marCCDTask<br />
ReadoutStatus</td>
<td>
asynInt32</td>
<td>
r/o</td>
<td>
Status of the marccd server readout task (Idle, Queued, Executing, Error, or Reserved)</td>
<td>
MAR_READOUT_STATUS</td>
<td>
$(P)$(R)MarReadoutStatus_RBV</td>
<td>
mbbi</td>
</tr>
<tr>
<td>
marCCDTask<br />
CorrectStatus</td>
<td>
asynInt32</td>
<td>
r/o</td>
<td>
Status of the marccd server correct task (Idle, Queued, Executing, Error, or Reserved)</td>
<td>
MAR_CORRECT_STATUS</td>
<td>
$(P)$(R)MarCorrectStatus_RBV</td>
<td>
mbbi</td>
</tr>
<tr>
<td>
marCCDTask<br />
WritingStatus</td>
<td>
asynInt32</td>
<td>
r/o</td>
<td>
Status of the marccd server file writing task (Idle, Queued, Executing, Error, or
Reserved)</td>
<td>
MAR_WRITING_STATUS</td>
<td>
$(P)$(R)MarWritingStatus_RBV</td>
<td>
mbbi</td>
</tr>
<tr>
<td>
marCCDTask<br />
DezingerStatus</td>
<td>
asynInt32</td>
<td>
r/o</td>
<td>
Status of the marccd server dezinger task (Idle, Queued, Executing, Error, or Reserved)</td>
<td>
MAR_DEZINGER_STATUS</td>
<td>
$(P)$(R)MarDezingerStatus_RBV</td>
<td>
mbbi</td>
</tr>
<tr>
<td>
marCCD<br />
ReadStatus</td>
<td>
asynInt32</td>
<td>
r/w</td>
<td>
Writing 1 to this parameter causes the status to be read from the marccd server.
By processing or periodically scanning this record the status information can be
refreshed. This is normally not necessary, but if ADArrayCallbacks is 0 and marCCDOverlap
is 1 then the status will not indicate that the system is idle when acquisition
is complete, because the driver polling stops before the file is written. This record
can be used to eliminate the confusion that might cause.</td>
<td>
MAR_READ_STATUS</td>
<td>
$(P)$(R)MarReadStatus</td>
<td>
bo</td>
</tr>
<tr>
<td align="center" colspan="7">
<b>Optimization parameters</b></td>
</tr>
<tr>
<td>
marCCD<br />
Overlap</td>
<td>
asynInt32</td>
<td>
r/w</td>
<td>
The marccd server has 5 tasks (Acquire, Readout, Correct, Write, Dezinger) that
can overlap their operation. The areaDetector driver can exploit this to improve
performance in some circumstances. If this parameter is set to 1 (Overlap) then
the ADAcquire parameter will go to 0 (Done) when the Readout task is done executing,
but before the Correct and Write tasks have finished correcting and saving the file
to disk. This improves performance because the next image can begin as soon as Acquire
goes to done, and hence before the previous image is written to disk. Note, however
that this parameter must be set to 0 (Sequential) if callbacks are being used to
compute ROIs that are being used in data collection, e.g. in a scan. If this is
not done then the ROI information will be read before it is updated and incorrect
scan data will result.</td>
<td>
MAR_OVERLAP</td>
<td>
$(P)$(R)OverlapMode
<br />
$(P)$(R)OverlapMode_RBV</td>
<td>
bo
<br />
bi</td>
</tr>
<tr>
<td align="center" colspan="7">
<b>Frameshift parameters</b></td>
</tr>
<tr>
<td>
marCCD<br />
Frameshift</td>
<td>
asynInt32</td>
<td>
r/w</td>
<td>
marccd can be used for time-resolved studies by collecting multiple data sets
before reading out the detector. This is done by placing a mask in front of the detector
that restricts the x-rays to horizontal stripe. An exposure is made, and then an external
signal causes the detector to shift the image by the number of lines given by this
parameter. A number of images separated by times of a few milliseconds can be collected,
and then the detector is read out.</td>
<td>
MAR_FRAME_SHIFT</td>
<td>
$(P)$(R)FrameShift
<br />
$(P)$(R)FrameShift_RBV</td>
<td>
longout
<br />
longin</td>
</tr>
<tr>
<td align="center" colspan="7">
<b>Timeout parameters</b></td>
</tr>
<tr>
<td>
marCCD<br />
TiffTimeout</td>
<td>
asynFloat64</td>
<td>
r/w</td>
<td>
Timeout in seconds when reading a TIFF file. It should be set to several seconds,
because there it can take some time for the marccd server to write the file.</td>
<td>
MAR_TIFF_TIMEOUT</td>
<td>
$(P)$(R)ReadTiffTimeout</td>
<td>
ao</td>
</tr>
<tr>
<td align="center" colspan="7">
<b>Ancillary parameters. These parameters are written to the header of the marccd TIFF file.</b></td>
</tr>
<tr>
<td>
marCCD<br />
DetectorDistance</td>
<td>
asynFloat64</td>
<td>
r/w</td>
<td>
Distance from the sample to the detector (mm)</td>
<td>
MAR_DETECTOR_DISTANCE</td>
<td>
$(P)$(R)DetectorDistance</td>
<td>
ao</td>
</tr>
<tr>
<td>
marCCD<br />
BeamX</td>
<td>
asynFloat64</td>
<td>
r/w</td>
<td>
X position of the direct beam on the detector (mm)</td>
<td>
MAR_BEAM_X</td>
<td>
$(P)$(R)BeamX</td>
<td>
ao</td>
</tr>
<tr>
<td>
marCCD<br />
BeamY</td>
<td>
asynFloat64</td>
<td>
r/w</td>
<td>
Y position of the direct beam on the detector (mm)</td>
<td>
MAR_BEAM_Y</td>
<td>
$(P)$(R)BeamY</td>
<td>
ao</td>
</tr>
<tr>
<td>
marCCD<br />
StartPhi</td>
<td>
asynFloat64</td>
<td>
r/w</td>
<td>
Starting value of phi rotation (deg)</td>
<td>
MAR_START_PHI</td>
<td>
$(P)$(R)StartPhi</td>
<td>
ao</td>
</tr>
<tr>
<td>
marCCD<br />
RotationAxis</td>
<td>
asynOctet</td>
<td>
r/w</td>
<td>
Rotation axis being used (phi, omega, etc.)</td>
<td>
MAR_ROTATION_AXIS</td>
<td>
$(P)$(R)RotationAxis</td>
<td>
ao</td>
</tr>
<tr>
<td>
marCCD<br />
RotationRange</td>
<td>
asynFloat64</td>
<td>
r/w</td>
<td>
Rotation range of the rotation axis.</td>
<td>
MAR_ROTATION_RANGE</td>
<td>
$(P)$(R)RotationRange</td>
<td>
ao</td>
</tr>
<tr>
<td>
N/A</td>
<td>
N/A</td>
<td>
N/A</td>
<td>
asyn record to control debugging communication with camserver. Setting the CNCT
field in this record to <code>Disconnect</code> causes the drvAsynIPPort server
to disconnect from camserver. This can be used to allow another program, such as
TVX, to temporarily take control of camserver, without restarting the EPICS IOC.
Set CNCT to <code>Connect</code> to reconnect the IOC to camserver, or simply process
any record which communicates with camserver, because the driver will automatically
reconnect.</td>
<td>
N/A</td>
<td>
$(P)$(R)CamserverAsyn</td>
<td>
asyn</td>
</tr>
</tbody>
</table>
<h2 id="Configuration" style="text-align: left">
Configuration</h2>
<p>
The Pilatus driver is created with the following command, either from C/C++ or from
the EPICS IOC shell.
</p>
<pre>
pilatusDetectorConfig(const char *portName, const char *camserverPort,
int maxSizeX, int maxSizeY, int maxBuffers, size_t maxMemory);
</pre>
<table border="1" cellpadding="2" cellspacing="2" style="text-align: left">
<tbody>
<tr>
<th>
Argument</th>
<th>
Description</th>
</tr>
<tr>
<td>
<code>portName</code></td>
<td>
The name of the asyn port for this detector.
</td>
</tr>
<tr>
<td>
<code>camserverPort</code></td>
<td>
The name of the asyn TCP/IP port to communicate with camserver. This must have been
previously created with <code>drvAsynIPPortConfig()</code>,
</td>
</tr>
<tr>
<td>
<code>maxSizeX</code></td>
<td>
The number of pixels in the X direction on the detector. This is 487 for the Pilatus
100K.</td>
</tr>
<tr>
<td>
<code>maxSizeY</code></td>
<td>
The number of pixels in the Y direction on the detector. This is 195 for the Pilatus
100K.</td>
</tr>
<tr>
<td>
<code>maxBuffers</code></td>
<td>
Maximum number of buffers to be created for plugin callbacks. Passed to the constructor
for the ADDriver base class.</td>
</tr>
<tr>
<td>
<code>maxMemory</code></td>
<td>
Maximum number of bytes of memory to be allocated for plugin callbacks. Passed to
the constructor for the ADDriver base class.</td>
</tr>
</tbody>
</table>
<p>
The following is an example st.cmd startup script:
</p>
<pre>< envPaths
errlogInit(20000)
dbLoadDatabase("$(AREA_DETECTOR)/dbd/pilatusDetectorApp.dbd")
pilatusDetectorApp_registerRecordDeviceDriver(pdbbase)
###
# Create the asyn port to talk to the Pilatus on port 41234.
drvAsynIPPortConfigure("camserver","gse-pilatus2:41234")
# Set the input and output terminators.
asynOctetSetInputEos("camserver", 0, "\030")
asynOctetSetOutputEos("camserver", 0, "\n")
pilatusDetectorConfig("Pil", "camserver", 487, 195, 50, 200000000)
dbLoadRecords("$(AREA_DETECTOR)/ADApp/Db/ADBase.template", "P=13PIL1:,R=cam1:,PORT=Pil,ADDR=0,TIMEOUT=1")
dbLoadRecords("$(AREA_DETECTOR)/ADApp/Db/pilatus.template","P=13PIL1:,R=cam1:,PORT=Pil,ADDR=0,TIMEOUT=1,CAMSERVER_PORT=camserver")
# Create a standard arrays plugin
drvNDStdArraysConfigure("PilImage", 5, 0, "Pil", 0, -1)
dbLoadRecords("$(AREA_DETECTOR)/ADApp/Db/NDPluginBase.template","P=13PIL1:,R=image1:,PORT=PilImage,ADDR=0,TIMEOUT=1,NDARRAY_PORT=Pil,NDARRAY_ADDR=0")
dbLoadRecords("$(AREA_DETECTOR)/ADApp/Db/NDStdArrays.template", "P=13PIL1:,R=image1:,PORT=PilImage,ADDR=0,TIMEOUT=1,SIZE=32,FTVL=LONG,NELEMENTS=94965")
# Create an ROI plugin with 8 ROIs
drvNDROIConfigure("PilROI", 5, 0, "Pil", 0, 8, -1)
dbLoadRecords("$(AREA_DETECTOR)/ADApp/Db/NDPluginBase.template","P=13PIL1:,R=ROI1:, PORT=PilROI,ADDR=0,TIMEOUT=1,NDARRAY_PORT=Pil,NDARRAY_ADDR=0")
dbLoadRecords("$(AREA_DETECTOR)/ADApp/Db/NDROI.template", "P=13PIL1:,R=ROI1:, PORT=PilROI,ADDR=0,TIMEOUT=1")
dbLoadRecords("$(AREA_DETECTOR)/ADApp/Db/NDROIN.template", "P=13PIL1:,R=ROI1:0:,PORT=PilROI,ADDR=0,TIMEOUT=1,HIST_SIZE=256")
dbLoadRecords("$(AREA_DETECTOR)/ADApp/Db/NDROIN.template", "P=13PIL1:,R=ROI1:1:,PORT=PilROI,ADDR=1,TIMEOUT=1,HIST_SIZE=256")
dbLoadRecords("$(AREA_DETECTOR)/ADApp/Db/NDROIN.template", "P=13PIL1:,R=ROI1:2:,PORT=PilROI,ADDR=2,TIMEOUT=1,HIST_SIZE=256")
dbLoadRecords("$(AREA_DETECTOR)/ADApp/Db/NDROIN.template", "P=13PIL1:,R=ROI1:3:,PORT=PilROI,ADDR=3,TIMEOUT=1,HIST_SIZE=256")
dbLoadRecords("$(AREA_DETECTOR)/ADApp/Db/NDROIN.template", "P=13PIL1:,R=ROI1:4:,PORT=PilROI,ADDR=3,TIMEOUT=1,HIST_SIZE=256")
dbLoadRecords("$(AREA_DETECTOR)/ADApp/Db/NDROIN.template", "P=13PIL1:,R=ROI1:5:,PORT=PilROI,ADDR=3,TIMEOUT=1,HIST_SIZE=256")
dbLoadRecords("$(AREA_DETECTOR)/ADApp/Db/NDROIN.template", "P=13PIL1:,R=ROI1:6:,PORT=PilROI,ADDR=3,TIMEOUT=1,HIST_SIZE=256")
dbLoadRecords("$(AREA_DETECTOR)/ADApp/Db/NDROIN.template", "P=13PIL1:,R=ROI1:7:,PORT=PilROI,ADDR=3,TIMEOUT=1,HIST_SIZE=256")
# Create "fastSweep" drivers for the MCA record to do on-the-fly scanning of ROI data
initFastSweep("PilSweepTotal", "PilROI", 8, 2048, "TOTAL_ARRAY", "CALLBACK_PERIOD")
initFastSweep("PilSweepNet", "PilROI", 8, 2048, "NET_ARRAY", "CALLBACK_PERIOD")
# Load MCA records for the fast sweep drivers
dbLoadRecords("$(MCA)/mcaApp/Db/mca.db", "P=13PIL1:,M=ROI1:0:TotalArray,DTYP=asynMCA,NCHAN=2048,INP=@asyn(PilSweepTotal 0)")
dbLoadRecords("$(MCA)/mcaApp/Db/mca.db", "P=13PIL1:,M=ROI1:1:TotalArray,DTYP=asynMCA,NCHAN=2048,INP=@asyn(PilSweepTotal 1)")
dbLoadRecords("$(MCA)/mcaApp/Db/mca.db", "P=13PIL1:,M=ROI1:2:TotalArray,DTYP=asynMCA,NCHAN=2048,INP=@asyn(PilSweepTotal 2)")
dbLoadRecords("$(MCA)/mcaApp/Db/mca.db", "P=13PIL1:,M=ROI1:3:TotalArray,DTYP=asynMCA,NCHAN=2048,INP=@asyn(PilSweepTotal 3)")
dbLoadRecords("$(MCA)/mcaApp/Db/mca.db", "P=13PIL1:,M=ROI1:4:TotalArray,DTYP=asynMCA,NCHAN=2048,INP=@asyn(PilSweepTotal 4)")
dbLoadRecords("$(MCA)/mcaApp/Db/mca.db", "P=13PIL1:,M=ROI1:5:TotalArray,DTYP=asynMCA,NCHAN=2048,INP=@asyn(PilSweepTotal 5)")
dbLoadRecords("$(MCA)/mcaApp/Db/mca.db", "P=13PIL1:,M=ROI1:6:TotalArray,DTYP=asynMCA,NCHAN=2048,INP=@asyn(PilSweepTotal 6)")
dbLoadRecords("$(MCA)/mcaApp/Db/mca.db", "P=13PIL1:,M=ROI1:7:TotalArray,DTYP=asynMCA,NCHAN=2048,INP=@asyn(PilSweepTotal 7)")
dbLoadRecords("$(MCA)/mcaApp/Db/mca.db", "P=13PIL1:,M=ROI1:0:NetArray,DTYP=asynMCA,NCHAN=2048,INP=@asyn(PilSweepNet 0)")
dbLoadRecords("$(MCA)/mcaApp/Db/mca.db", "P=13PIL1:,M=ROI1:1:NetArray,DTYP=asynMCA,NCHAN=2048,INP=@asyn(PilSweepNet 1)")
dbLoadRecords("$(MCA)/mcaApp/Db/mca.db", "P=13PIL1:,M=ROI1:2:NetArray,DTYP=asynMCA,NCHAN=2048,INP=@asyn(PilSweepNet 2)")
dbLoadRecords("$(MCA)/mcaApp/Db/mca.db", "P=13PIL1:,M=ROI1:3:NetArray,DTYP=asynMCA,NCHAN=2048,INP=@asyn(PilSweepNet 3)")
dbLoadRecords("$(MCA)/mcaApp/Db/mca.db", "P=13PIL1:,M=ROI1:4:NetArray,DTYP=asynMCA,NCHAN=2048,INP=@asyn(PilSweepNet 4)")
dbLoadRecords("$(MCA)/mcaApp/Db/mca.db", "P=13PIL1:,M=ROI1:5:NetArray,DTYP=asynMCA,NCHAN=2048,INP=@asyn(PilSweepNet 5)")
dbLoadRecords("$(MCA)/mcaApp/Db/mca.db", "P=13PIL1:,M=ROI1:6:NetArray,DTYP=asynMCA,NCHAN=2048,INP=@asyn(PilSweepNet 6)")
dbLoadRecords("$(MCA)/mcaApp/Db/mca.db", "P=13PIL1:,M=ROI1:7:NetArray,DTYP=asynMCA,NCHAN=2048,INP=@asyn(PilSweepNet 7)")
#asynSetTraceMask("Pil",0,255)
#asynSetTraceMask("PilROI",0,3)
#asynSetTraceIOMask("PilROI",0,4)
# Load scan records for scanning energy threshold
dbLoadRecords("$(SSCAN)/sscanApp/Db/scan.db", "P=13PIL1:cam1:,MAXPTS1=2000,MAXPTS2=200,MAXPTS3=20,MAXPTS4=10,MAXPTSH=10")
set_requestfile_path("./")
set_savefile_path("./autosave")
set_requestfile_path("$(AREA_DETECTOR)/ADApp/Db")
set_requestfile_path("$(SSCAN)/sscanApp/Db")
set_pass0_restoreFile("auto_settings.sav")
set_pass1_restoreFile("auto_settings.sav")
save_restoreSet_status_prefix("13PIL1:")
dbLoadRecords("$(AUTOSAVE)/asApp/Db/save_restoreStatus.db", "P=13PIL1:")
iocInit()
# save things every thirty seconds
create_monitor_set("auto_settings.req", 30,"P=13PIL1:,D=cam1:")
</pre>
<h2 id="MEDM screens" style="text-align: left">
MEDM screens</h2>
<p>
The following show the MEDM screens that are used to control the MarCCD debtector.
Note that the general purpose screen ADBase.adl can be used, but it exposes many
controls that are not applicable to the MarCCD, and lacks some fields that are important
for the MarCCD.</p>
<p>
<code>marccd.adl</code> is the main screen used to control the MarCCD driver.
</p>
<div style="text-align: center">
<h3 style="text-align: center">
marccd.adl</h3>
<img alt="marccd.png" src="marccd.png" /></div>
<p>
<code>NDROI8.adl</code> is used to define the ROIs, and to display the statistics
for each ROI. In this example there are 3 valid ROIs defined. ROI 0 is the entire
detector, ROI 1 is a 100x50 rectangle starting at [300,60], and ROI 2 is a 50x30
rectangle starting at [320,70].</p>
<div style="text-align: center">
<h3 style="text-align: center">
NDROI8.adl</h3>
<img alt="NDROI8.png" src="NDROI8.png" /></div>
<p>
<code>mca.adl</code> can be used to plot the net or total counts in an ROI when
NImages>1. In this example the plot is the net counts in ROI 1 as the diffractometer
chi was scanned +- 1 degree with 1000 points at .02 seconds/point. This was done
with the SPEC command
</p>
<pre>lup chi -1 1 1000 .02
</pre>
<p>
using trajectory scanning on a Newport kappa diffractometer. This was a compound
motor scan with the Newport XPS putting out pulses every .02 seconds. These pulses
triggered the Pilatus in External Enable mode. The Pilatus driver read each TIFF
file as it was created and updated this plot every 0.2 seconds. The total time to
collect this scan with 1000 images was 20 seconds.</p>
<div style="text-align: center">
<h3 style="text-align: center">
mca.adl</h3>
<img alt="pilatusMCA.png" src="pilatusMCA.png" style="text-align: left" /></div>
<p>
<code>scan_more.adl</code> is used to define a scan. In this example the sscan record
is set up to scan the ThresholdEnergy PV and to collect the total counts in ROI2,
which was defined to include the entire detector.</p>
<div style="text-align: center">
<h3>
scan_more.adl</h3>
<img alt="pilatusROI_scan_more.png" src="pilatus_scan_more.png" /></div>
<p>
<code>scanDetPlot.adl</code> is used to plot the results of a scan after it is complete.
In this example the total counts in ROI 2 are plotted as a function of the ThresholdEnergy
as it was scanned from 3000 to 10000 eV in 250 eV steps. The source was Fe55, and
the cut-off is at 6 keV, as expected for the Mn Ka and Mn Kb x-rays that this source
produces.</p>
<div style="text-align: center">
<h3>
scanDetPlot.adl</h3>
<img alt="pilatus_scan_plot.png" src="pilatus_scan_plot.png" /></div>
<p>
<code>asynRecord.adl</code> is used to control the debugging information printed
by the asyn TCP/IP driver (asynTraceIODriver) and the SNL program (asynTraceIODevice).</p>
<div style="text-align: center">
<h3>
asynRecord.adl</h3>
<img alt="pilatusAsynRecord.png" src="pilatusAsynRecord.png" /></div>
<p>
<code>asynOctet.adl</code> can be used to send any command to camserver and display
the response. It can be loaded from the More menu in asynRecord.adl above.</p>
<div style="text-align: center">
<h3>
asynOctet.adl</h3>
<img alt="pilatusAsynOctet.png" src="pilatusAsynOctet.png" /></div>
<h2 id="SPEC interface" style="text-align: left">
SPEC interface</h2>
<p>
At the GSECARS beamlines (13-ID-C and 13-BM-C) at the APS we use SPEC to control
our Newport diffractometers. We have added and modified SPEC macros to use the pilatusDetector
areaDetector driver to treat the Pilatus detector as a SPEC counter. This works
in both traditional step-scanning mode, as well as in <a href="http://cars.uchicago.edu/software/epics/trajectoryScan.html">
trajectory scanning</a> mode. Here are some snippets from the SPEC macros for
the Pilatus. We can supply the source files on request.</p>
<pre># need some more globals (kludge)
global PILATUS_ROI_PV
global PILATUS_imgPATH_PV
global PILATUS_FNAME_PV
global PILATUS_FILENUMBER_PV
global PILATUS_FILEFORMAT_PV
global PILATUS_EXPSRTM_PV
global PILATUS_NFRAME_PV
global PILATUS_EXPPRD_PV
global PILATUS_NEXPFRM_PV
global PILATUS_ACQ_PV
global PILATUS_ACQMODE_PV
###############################################################
def _setup_img '{
local j, str
# PILATUS_PREFIX should be detector aquisition pv (GSE-PILATUS1:)
if ( PILATUS_PREFIX == "") PILATUS_PREFIX = "GSE-PILATUS1:"
PILATUS_PREFIX = getval("Enter PILATUS pv prefix",PILATUS_PREFIX)
# rois pvs
PILATUS_ROI_PV = PILATUS_PREFIX "ROI1NetCounts"
PILATUS_imgPATH_PV = PILATUS_PREFIX "FilePath"
PILATUS_FNAME_PV = PILATUS_PREFIX "Filename"
PILATUS_FILENUMBER_PV = PILATUS_PREFIX "FileNumber"
PILATUS_FILEFORMAT_PV = PILATUS_PREFIX "FileFormat"
PILATUS_EXPSRTM_PV = PILATUS_PREFIX "ExposureTime"
PILATUS_NFRAME_PV = PILATUS_PREFIX "NImages"
PILATUS_EXPPRD_PV = PILATUS_PREFIX "ExposurePeriod"
PILATUS_NEXPFRM_PV = PILATUS_PREFIX "NExposures"
PILATUS_ACQ_PV = PILATUS_PREFIX "Acquire"
PILATUS_ACQMODE_PV = PILATUS_PREFIX "AcquireMode"
...
def epics_pilatus_count '{
...
# write to data base fields
# Need to convert path from string to byte array
# Note: we use the "wait" parameter in epics_put here (new to spec5.7.02) so that
# it uses ca_put_callback, to know that all PVs have been processed
# before we start counting. Use 1 second timeout, will actually be
# much faster than this unless something is wrong.
array _temp[256]
_temp = PILATUS_IMAGE_DIR
# Do not change path for now
#epics_put(PILATUS_imgPATH_PV,_temp, 1)
epics_put(PILATUS_FNAME_PV,img_fname, 1)
epics_put(PILATUS_FILENUMBER_PV,NPTS, 1)
epics_put(PILATUS_FILEFORMAT_PV,_fileformat, 1)
epics_put(sc_prtm_pv,cnt_time_val, 1)
epics_put(PILATUS_EXPSRTM_PV,cnt_time_val, 1)
epics_put(PILATUS_ACQMODE_PV,0, 1) # Internal trigger
epics_put(PILATUS_NFRAME_PV, 1, 1)
epics_put(PILATUS_NEXPFRM_PV, 1, 1)
def user_getcounts '{
local pv_roi, j, pv
...
# using image_count routine
} else if ( EPICS_COUNT == 4 ) {
S[iroi] = 0
S[iroi] = epics_get(PILATUS_ROI_PV)
</pre>
<h2 id="Performance measurements">
Performance measurements</h2>
<p>
The following measurements were done to demonstrate the performance that can be
obtained with the areaDetector Pilatus driver.</p>
<ol>
<li>AcquireMode=Internal, NumImages=1000, AcquireTime=.005, AcquirePeriod=.01, NumExposures=1.
The time to collect this series should be exactly 10.0 seconds. The actual time
was measured using the EPICS camonitor program. It printed the time when acquisition
was started (Acquire changed to Acquire=1) and when acquisition was complete (Acquire
changed to Done=0). The time was 10.022 seconds. This includes the time for camserver
to save all 1000 images to disk (366 MB), and for pilatusROI to read each file,
correct the bad pixels and flat field, compute the ROIs, and post the ROIs to EPICS.
It also posted all of the images to EPICS. The total additional time was less than
0.03 seconds for all 1000 images.</li>
<li>AcquireMode=Internal, NImages=1, ExposureTime=.01, NExposures=1. An EPICS sscan
record was used to collect 1000 points. There were no positioner PVs (to eliminate
motor overhead). The only detector trigger was the Pilatus Acquire PV. The only
detector PV was ROI1:0:Total_RBV. In this mode camserver is being told to individually
collect each file. If there were no overhead then time to collect this series should
be exactly 10.0 seconds. The actual time measured using the EPICS camonitor program
was 45.514 seconds. The overhead is thus 35.514 seconds, or 35 ms per point. In
this single-frame mode pilatusROI is thus able to collect >20 images/second. For
comparison, another measurement was done using the same EPICS sscan record, but
using a Joerger VSC16 scaler as the detector trigger and detector. The preset time
was also .01 seconds. The elapsed time for a 1000 point scan was 16.068 seconds,
so the overhead was 6.068 seconds, or 6 ms per point.</li>
<li>AcquireMode=Ext. Enable, NImages=1000, NExposures=1. SPEC was used to collect
1000 points using <a href="http://cars.uchicago.edu/software/epics/trajectoryScan.html">
trajectory scanning</a> mode with the Newport XPS motor controller. The following
SPEC command was used:
<pre> lup chi -2 2 1000 .015
</pre>
This tells SPEC to do a relative scan of the chi axis from -2 degrees to +2 degrees
with 1000 points at .015 seconds/point. On our kappa diffractometer this entails
a coordinated motion of the phi, kappa and omega axes. The EPICS trajectory scanning
software downloads the non-linear trajectory that SPEC computes into the XPS controller,
which executes it. As the motors are moving the XPS outputs synchronization pulses
at the period of the collection time, .015 seconds in this case. These pulses are
stretched (see <a href="#Hardware notes">Hardware notes</a> below) and used as the
external input to the Pilatus. The time to execute this scan should be 15.0 seconds.
The actual time was 16.3 seconds, measured using camonitor on the Acquire PV. Again,
this includes the time for camserver to save all 1000 images to disk (366 MB), and
for pilatusROI to read each file, correct the bad pixels and flat field, compute
the ROIs, and post the ROIs to EPICS. It also posted the images to EPICS at 1Hz
(15 images total). The total additional time was less than 1.3 seconds for all 1000
images. As soon as the acquisition was complete SPEC plotted the net counts in the
first ROI (containing the Bragg peak) as follows:
<div style="text-align: center">
<h3>
1000 point SPEC scan with 15 ms per point collected in 16.3 seconds</h3>
<img alt="pilatusROI_spec.png" src="pilatus_spec.png" /></div>
<p>
</p>
For comparison this identical scan was executed in traditional step-scanning mode,
where the motors stopped at each point in the scan. The Pilatus was run in Internal
mode with NImages=1. The total time for the scan was 870 seconds (more than 14 minutes),
compared to 16.3 seconds in trajectory mode. Most of this overhead is the settling
time for the motors, with only a small fraction due to the Pilatus single-exposure
mode. The trajectory scanning mode is thus more than 50 times faster to execute
the identical SPEC scan.</li>
</ol>
<h2 id="Hardware notes" style="text-align: left">
&nbsp;</h2>
<h2 style="text-align: left">
Hardware notes</h2>
<h3>
Trigger pulses</h3>
<p>
The Pilatus supports 3 types of external triggering. In External Trigger mode (the
camserver ExtTrigger command) the Pilatus uses the programmed values of ExposureTime,
ExposurePeriod, NImages and NExposures. It waits for a single external trigger,
then waits for Delay seconds and then collects the entire sequence. It is very similar
to Internal mode with NImages>1, except that it waits for a trigger to begin collecting
the sequence.</p>
<p>
In External Enable mode (the camserver ExtEnable command) the Pilatus uses the external
signal to control acquisition. Only NImages and NExposures are used, ExposureTime
and ExposurePeriod are not used. When the signal is high the detector counts, and
on the transition to low it begins its readout.</p>
<p>
In External MultiTrigger Mode (the camserver ExtMTrigger command) the Pilatus uses
the programmed ExposureTime, in addition to NImages and NExposures. Each external
trigger pulse causes the Pilatus to collect one image at the programmed exposure
time. This mode works well with a trigger source like the Newport motor controllers
or the SIS380x multichannel scaler, that put out a short trigger pulse for each
image. One only needs to take care that the time between external trigger pulses
is at least 4msec longer than the programmed exposure time, to allow time for the
detector to read out before the next trigger pulse arrives.</p>
<p>
When using the External Enable mode, we use an inexpensive analog pulse generator
to convert the trigger pulses from the MM4005 and XPS to a form suitable for External
Enable mode with the Pilatus. This is the solution we have developed that seems
to be reliable:</p>
<ul>
<li>The synchonization pulses from the Newport MM4005 or XPS controller are input
into the external next pulse (channel advance, control signal 1) input of the SIS3801
multiscaler. This is the normal configuration used for MCS counting without the
Pilatus in trajectory scanning mode.</li>
<li>The Copy In Progress (CIP) output of the SIS3801 (control signal 5) is connected
to the Trigger Input of a Tenma TGP110 10 MHz Pulse Generator. CIP will output a
pulse whenever the SIS3801 does a channel advance, either in external mode with
the motor controller pulse input, or in internal timed channel advance mode. The
TGP100 Pulse Generator is configured as follows:
<ul>
<li>Trigger Input connected to CIP output of SIS3801.</li>
<li>Triggered mode.</li>
<li>Complement output.</li>
<li>Pulse duration set with knobs to 3msec.</li>
<li>TTL Output connected to the External Input of the Pilatus.</li>
</ul>
</li>
<li>With this configuration the SIS3801 CIP output is normally at 5V, and outputs
a 0V pulse 1 microsecond long. The trailing (rising) edge of that pulse triggers
the TGP110. The TGP110 TTL output is also normally at 5V, and outputs a 0V pulse
3 milliseconds long each time the SIS3801 pulses. That output is connected to the
Pilatus External Input. In External Enable mode when Pilatus External Input is high
the Pilatus is counting. When the External Input is low the Pilatus reads out. The
readout time is set via the knobs on the pulse generator to be 3 ms, which is close
to the minimum time allowed on the Pilatus.</li>
</ul>
<p>
The Tenma TGP110 seems to be currently called a Tenma 72-6860, and lists for about
$350 new at <a href="http://www.newark.com">Newark</a>.
</p>
<h3>
Detector Voltage</h3>
<p>
When we were initially testing the Pilatus in the lab, we had many errors in External
Enable mode, where it did not seem to be seeing the external pulses. camserver would
get DMA timeouts, and need to be restarted. Dectris said these were happening because
the cables on our detector are longer than normal, and the voltage drop from the
power supply to the detector was leading to marginal voltage values. They suggested
shortening the cables or increasing the supply voltage slightly. When moving the
detector to the hutch these problems initially went away. However, they then recurred,
and we fixed the problem by increasing the power supply voltage from 4.4 to 4.7
volts at the detector.</p>
<p>
Dectris has since informed me that they have increased the power supply voltage
on all new Pilatus systems, so this should no longer be an issue.</p>
<h2 id="Restrictions">
Restrictions</h2>
<p>
The following are some current restrictions of the pilatusROI SNL program:</p>
<ul>
<li>Limited to TIFF file format. camserver can save files in other formats, but pilatusROI
can currently only read TIFF files. Furthermore, it has a very simple TIFF reader.
It does not read the TIFF tags at all, but simply assumes that there is a 4096 byte
header, followed by the 32-bit image data. The size of the image data is controlled
by the NXPixels and NYPixels PVs, which thus must be correctly set.</li>
<li>The EPICS IOC should be run on the same computer as camserver. This is not strictly
necessary, and places a small additional load on the CPU and network on that computer.
However, we have found that TIFF files are available to be read within 10ms after
camserver says they have been written if the IOC is running on the same machine
as camserver. This is true even if the files are being saved on a remote NFS or
SMB file system. On the other hand, if the IOC and camserver are running on separate
machines, then the filesystem can wait up to 1 second after camserver says the TIFF
file has been written before the IOC can read it. This is true even if the files
are being written to the computer that the IOC is running on! This 1 second delay
is often unacceptable for fast single-exposure scans, i.e. with NImages=1.</li>
<li>pilatusROI keeps retrying to read each TIFF file until the modification date of
the TIFF file is <i>after</i> the time that the exposure command was issued. If
it did not do this check then it could be reading and displaying old files that
happen to have the same name as the current files being collected. This check requires
that the computer that is running the soft IOC must have its clock well synchronized
with the clock on the computer on which the files are being written (i.e. the computer
generating the file modification time). If the clocks are not synchronized then
the files may appear to be stale when they are not, and pilatusROI will time out.
pilatusROI actually tolerates up to 10 second clock skew betweeen the computers
but any more than this may lead to problems.</li>
<li>The Abort PV does not always work because camserver does not reliably implement
the "K" command to stop an exposure sequence. In particular with NImages>1 camserver
seems to often ignore the K command completely, even with exposure times/periods
as long as 10 seconds. With NImages=1 it does kill the exposure after a few seconds.</li>
<li>The following items are hardcoded in the SNL program. They can be changed before
compiling if necessary. Some could be changed to be EPICS PVs, so they could be
controlled at run-time, but others must be defined at compile time because of limitations
in the SNL semantics.
<ul>
<li>MAX_MESSAGE_SIZE=256 The maximum size of message to/from camserver.</li>
<li>MAX_FILENAME_LEN=256 The maximum size of a complete file name including path and
extension.</li>
<li>FILE_READ_DELAY=.01 seconds. The time between polling to see if the TIFF file
exists or if it is the expected size.</li>
<li>MAX_BAD_PIXELS=100 The maximum number of bad pixels.</li>
<li>MAX_ROIS=32 The maximum number of ROIs</li>
<li>MAX_READ_ERRORS=3 The maximum number of TIFF file read errors before the SNL gives
up and aborts acquisition.</li>
</ul>
</li>
</ul>
</body>
</html>
Reference in New Issue View Git Blame Copy Permalink