changes by the martin and John

This commit is contained in:
2024-05-15 15:22:01 +02:00
parent 5e954dec77
commit 153333f336
4 changed files with 151 additions and 57 deletions

View File

@@ -28,6 +28,7 @@ try:
from slic.core.acquisition import SFAcquisition
from slic.devices.timing.events import CTASequencer
from ctadaq import CTAAcquisition
from jfjoch_device import JFJ
except ImportError as e:
_log.warning(e)
@@ -35,6 +36,10 @@ class Shutter:
def __init__(self,mode=1):
self._mode=mode
app=QApplication.instance() #apologies! Wasn't sure how best to do this, could maybe feed sync_flag as a variable to open and close from swissmx.py
cfg=app._cfg
dt_misc = cfg.value(AppCfg.DT_MISC)
self.sync_flag=dt_misc['sync_flag']
def open(self):
mode=self._mode
@@ -43,8 +48,12 @@ class Shutter:
elif mode==1:
# open laser shutter
epics.caput("SLAAR31-LPSYS-ESC:LHX1_SHUT_OPEN", 1)
if self.sync_flag==0: #if using cta, sets pulse_picker output to follow pulser 3
# open fast shutter
epics.caput("SARES30-LTIM01-EVR0:RearUniv0_SNUMPD", 3)
epics.caput("SARES30-LTIM01-EVR0:RearUniv0_SNUMPD2", 3)
epics.caput("SARES30-LTIM01-EVR0:RearUniv0_SOURCE", 0)
epics.caput("SARES30-LTIM01-EVR0:RearUniv0_SOURCE2", 0)
epics.caput("SARES30-LTIM01-EVR0:RearUniv0-Ena-SP", 1)
_log.info('shutter opened')
@@ -53,13 +62,19 @@ class Shutter:
if mode==0:
_log.info('close simulated shutter')
elif mode==1:
# close fast shutter
epics.caput("SARES30-LTIM01-EVR0:RearUniv0-Ena-SP", 0)
# close laser shutter
epics.caput("SLAAR31-LPSYS-ESC:LHX1_SHUT_CLOSE", 1)
_log.info('shutter closed')
# close fast shutter
epics.caput("SARES30-LTIM01-EVR0:RearUniv0-Ena-SP", 0)
if self.sync_flag==0: #if using cta, sets pulse_picker output back to high low, could do this every time?
epics.caput("SARES30-LTIM01-EVR0:RearUniv0_SNUMPD", 1)
epics.caput("SARES30-LTIM01-EVR0:RearUniv0_SNUMPD2", 1)
epics.caput("SARES30-LTIM01-EVR0:RearUniv0_SOURCE", 3)
epics.caput("SARES30-LTIM01-EVR0:RearUniv0_SOURCE2", 4)
class Deltatau:
def __init__(self,sim=False):
app=QApplication.instance()
@@ -106,22 +121,66 @@ class Jungfrau:
_log.info(f'simulated')
app=QApplication.instance() #temproary fix, couldnt access these in function, maybe the bt above needs to be self.detectors ... etc
cfg=app._cfg
detectors = [ cfg.value(AppCfg.DAQ_DET) ]
det = cfg.value(AppCfg.DAQ_DET)
print("det", repr(det))
detectors = [det] if det.get("name") else None
bs_channels = cfg.value(AppCfg.DAQ_BS_CH)
pv_channels = cfg.value(AppCfg.DAQ_PV_CH)
loc=cfg.value(AppCfg.DAQ_LOC)
dt_misc = cfg.value(AppCfg.DT_MISC)
code_gen=kwargs.get('code_gen',0)
if code_gen==3:
sync_mode=dt_misc['sync_mode']
sync_flag=dt_misc['sync_flag']
if loc['jungfraujoch']:
try:
self.jfj = JFJ("http://sf-daq-2:5232")
self.detectors=None
except:
self.jfj = None
else:
self.jfj = None
if sync_flag==0:
grid_cnt=kwargs['grid']['count']
kwargs['grid']['count']
self._cta=cta=CTASequencer("SAR-CCTA-ESC")
repetitions=grid_cnt[0] #'x' or number of columns
cta_multiplier=grid_cnt[1]-1 #'y' or number of appertures in a column/number of rows
#kwargs['tmove'] kwargs['twait']
xray_seq=[0,]*(kwargs['twait']//kwargs['tmove'])+[1] # multiplier is proportional to wait_time i.e. 10 ms = 1, 20 ms =2, 30 ms =3.
cta.seq[200]=xray_seq*cta_multiplier # x-ray_shutter
laser_seq=[1,]*(kwargs['twait']//kwargs['tmove'])+[1]
cta.seq[215]=laser_seq*cta_multiplier # laser_shutter
cta_multiplier=grid_cnt[1] #'y' or number of appertures in a column/number of rows
cta=CTASequencer("SAR-CCTA-ESC")
if code_gen==3:
wait_pulses=kwargs['twait']//kwargs['tmove']
#xray_seq=[0,]*wait_pulses+[1] # multiplier is proportional to wait_time i.e. 10 ms = 1, 20 ms =2, 30 ms =3.
xray_seq=[1,]+[0,]*wait_pulses
cta.seq[200]=xray_seq*cta_multiplier # x-ray_shutter
laser_seq=[1,]*wait_pulses+[1]
cta.seq[215]=laser_seq*cta_multiplier # laser_shutter
droplet_sequence=[0, 1, 0, 0] # sub 8 ms delay = [0, 0, 1, 0]
cta.seq[216]=droplet_sequence*(cta_multiplier//2)
cta.seq[214]=[1,]+[0,]*(len(laser_seq*cta_multiplier)-1)
else:
print('not code gen 3')
#cta_multiplier-=14
#cta.seq[200]=[0,0,0,0,0,0,0]+[1,]*cta_multiplier + [0,0,0,0,0,0,0] # for +7 row chip x-ray
#cta.seq[215]=[0,0,0,0,0,0,0]+[1,]*cta_multiplier + [0,0,0,0,0,0,0] # for +7 row chip laser
#cta.seq[214]=[1,0,0,0,0,0,0]+[0,]*cta_multiplier + [0,0,0,0,0,0,0] # for +7 row chip start
# no extra rows
cta.seq[214]=[1,]+[0,]*(cta_multiplier-1)
cta.seq[200]=[1,]*cta_multiplier # x-ray_shutter
#cta.seq[215]=[1,]*cta_multiplier # laser_shutter
#cta.seq[216]=[1,]*cta_multiplier # droplet_ejector all
cta.seq[216]=[1,0,]*(cta_multiplier//2) # droplet_ejector 1:1
#cta.seq[216]=[1,0,0,]*(cta_multiplier//3) # droplet_ejector 1:2
#cta.seq[216]=[1,0,0,0,0,0,]*(cta_multiplier//6) # droplet_ejector 1:5
#cta.seq[216]=[1,0,0,0,0,0,0,0,0,]*(cta_multiplier//9) # droplet_ejector 1:8
#cta.seq[216]=[1,0,0,0,0,0,0,0,0,0,0,0,]*(cta_multiplier//12) # droplet_ejector 1:11
# skip 6 rows add 6 on end -- first 2 and 1 216
#cta.seq[214]=[1,0,0,0,0,0,]+[0,]*(cta_multiplier-12)+[0,0,0,0,0,0,]
#cta.seq[200]=[0,0,0,0,0,0,]+[1,]*(cta_multiplier-12)+[0,0,0,0,0,0,] # x-ray_shutter
#cta.seq[216]=[0,0,0,0,0,0,]+[1,]*(cta_multiplier-12)+[0,0,0,0,0,0,] # droplet_ejector all
#cta.seq[216]=[0,0,0,0,0,0,]+[1,0,]*((cta_multiplier-12)//2)+[0,0,0,0,0,0,] # droplet_ejector 1:1
#cta.seq[216]=[0,0,0,0,0,0,]+[1,0,0,]*((cta_multiplier-12)//3)+[0,0,0,0,0,0] # droplet_ejector 1:2
#cta.seq[216]=[0,0,0,0,0,0,]+[1,0,0,0]*((cta_multiplier-12)//4)+[0,0,0,0,0,0] # droplet_ejector 1:3
#cta.seq[216]=[0,0,0,0,0,0,]+[1,0,0,0,0,0,]*((cta_multiplier-12)//6)+[0,0,0,0,0,0]# droplet_ejector 1:5
#cta.seq[216]=[0,0,0,0,0,0,]+[1,0,0,0,0,0,0,0,0,0,0,0,]*((cta_multiplier-12)//12)+[0,0,0,0,0,0] # droplet_ejector 1:11
cta.cfg.repetitions=repetitions # self._cta.cfg.repetitions = n_pulses_run/cta_multiplier
cta.seq.upload()
self._daq=CTAAcquisition(cta, loc['end_station'], loc['p_group'], default_detectors=detectors,
@@ -147,11 +206,15 @@ class Jungfrau:
except TypeError as e:
_log.warning(f'failed to get _pulse_id_start: {e}')
n_pulses_run = n_pulses + run['padding']
n_pulses_run*=2 # comment me out please when not using 10 ms wait (for stop and go)
print('number of triggers ', n_pulses_run, ' is greater than the number of appertures', n_pulses)
block_size = run['block_size']
if self.jfj:
self.jfj.acquire(beam_x_pxl = 1613, beam_y_pxl = 1666, detector_distance_mm = 151, photon_energy_keV = 12, sample_name = run['cell_name'], file_prefix = run['prefix'], ntrigger = n_pulses_run)
if type(self._daq) is CTAAcquisition:
self._daq.acquire(run['prefix'], n_pulses=min(n_pulses_run, block_size), n_block_size=block_size, wait=False, cell_name=run['cell_name'])
self._daq.acquire(run['prefix'], n_pulses=max(n_pulses_run, block_size), n_block_size=block_size, wait=False, cell_name=run['cell_name'])
else:
self._daq.acquire(run['prefix'], n_pulses=min(n_pulses_run, block_size), n_repeat=ceil(n_pulses_run/block_size), wait=False, cell_name=run['cell_name'])
self._daq.acquire(run['prefix'], n_pulses=max(n_pulses_run, block_size), n_repeat=ceil(n_pulses_run/block_size), wait=False, cell_name=run['cell_name'])
cfg.setValue(AppCfg.DAQ_RUN,run)
def gather_upload(self):