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UNIVERSITA’ DEGLI STUDI DI NAPOLI FEDERICO II 
Luigi Cimmino 
November 12th, 2014 - Tokyo 
INTERNATIONAL WORKSHOP ON MUON & GEO-RADIATION PHYSICS FOR EARTH STUDIES
MURAY AUTOMATIC REMOTE SYSTEM 
•Improvement of remote control software (automatic mail delivery service in case of warnings and errors) 
•Realization of an automated system for the telescope operations 
•Test of Voltage Follower Data Acquisition without the chiller 
1. The PC is a Raspberry Pi minicomputer 
(few watts consumption) 
2. SiPMs temperature is controlled using Arduino boards 
(10 bits DAC – 0.15°C sensibility) 
3. Power supplies are controlled remotely (no handling required)
ELECTRONICS UPGRADE 
•PIC Board has been replaced by a pin-to-pin connection with the Raspberry Pi GPIO 
•Implementation of an interrupt based protocol 
•Low level management of the communication 
•Increase of the data transmission bandwidth 
•Reduction of the dead times 
•Each slave board has an onboard power supply 
BEFORE 
AFTER 
PC 
PIC 
Micro 
controller 
MASTER Board 
Raspberry PI
FRONT-END ELECTRONICS 
Low power consumption Application-Specific Integrated Circuit EASIROC 
Each slave board is programmed and read by the FPGA controller assembled on the master board 
12 slave boards are controlled by a single master board 
Data flows are managed by the low level protocol that links the telescope electronics to the PC through the GPIO port 
A monitoring board reads each couple of PT1000 thermosensors mounted on the SiPMs board 
Room conditions are constantly monitored with a thermo- hygrometer connected to the PC 
muNet 
Slow Control 
Master Pi Board 
Slave Board 
32 x SiPMs 
Slave Board 
32 x SiPMs 
Slave Board 
32 x SiPMs 
… 
… 
…
DATA ACQUISITION MAIN FEATURES 
•Very low power consumption (Could be supplied by solar cells system) 
•Off-the-shelf technology (standard stores availability) 
•Open-source software (community support and code portability) 
•Modularity (the only problem is to have enough space)
HYBRID EQUIPMENT 
Hygrometer 
Pt1000 thermoelectric sensor 
•Pt1000 read by ADue Local Monitoring Board 
•Thermal plate on the back 
•New generation SiPMs
HAMAMATSU MPPC RESPONSE 
counts (a.u.) 
ADC value (a.u.) 
Dark counts (0.1 Hz)
Dark counts (0.1 Hz) 
counts (a.u.) 
SIPMS FIRST TRIALS 
counts (a.u.) 
•32 SiPMs show an homogeneous response 
•At room temperature the dark rate is very low (75 – 150 kHz) near the electronic noise threshold
SLAVE BOARD 
•EASIROC (Extended Analogue SiPM Integrated Read Out Chip) 
•Digital operations implemented in the FPGA 
•32 digit counters for each channel 
•Switching regulators provide all voltages needed by the time expansion circuit 
•Linear regulators provide high voltage for SiPMs and EASIROC operations 
•Programmable potentiometers to set the Hold time and the Timeout 
•External Power Supply support 
•3W power consumption
EASIROC SCHEMATIC 
•Sample and Hold sampler 
•32 independent triggers and an OR32 trigger 
•No digital part 
•Low and high gain output
MASTER PI SPECIFICS 
•Each master now mounts a dedicated credit card size PC Raspberry Pi 
•32 trigger input 
•Settable trigger configuration 
•Connect up to 32 slaves 
•DHCP Server 
•Apply settings to all connected Master Pi and read their data 
•Data storage 
•Watchdog functions 
•Internet link for remote functions 
•Slow Control 
NET FEATURES
Raspberry Pi 
( NET ) 
Data Base (MySQL) 
Sensors 
Raw data storage 
Data 
Power Supply 
Environment 
GENERAL SCHEMA 
Read Voltages 
Setup Voltages 
Settings 
Master Pi
Data Analysis 
Remote Alarm Website 
USE OF THE DATABASE AND RAW DATA 
computer 
Linux OS 
DB 
Data Quality 
ONLINE 
OFFLINE
HOW TO MEASURE THE TOF? 
 
tX1 
tY1 
tX2 
tY2 
•Muons cross the detector 
•A certain trigger logic is satisfied 
•Relative time are recorded 
TOP Plane 
DOWN Plane
TIME EXPANSION 
•A local trigger is produce on the slave board and transmitted to the master when a particle hits the relative plane 
•Master board receives all local triggers and if they fulfill the trigger logic, it sends to all slaves a global trigger (stop) 
•We want to measure the time between every single local trigger and the stop signal 
•From the production of the local trigger to the stop signal a capacitor is charged on each slave boards 
Local trigger 
Local trigger 
Enable window 
Stop 
Stop
EXPERIMENTAL MEASURE OF THE TOF 
Measured TDC spread 
1.6 counts 250 ps 
•Linear response 
•RMS indipendent from the delay 
delay (ns) 
counts (a.u.) 
counts (a.u.)
CONCLUSIONS 
•The construction of the MURAVES detector will start at the beginning of 2015 
•Tests and experiments to find best materials, sensors, computing and monitoring solutions lead to the development of the remotely controlled muon detector that constitutes the basic part of the MURAVES telescope 
•Its precise calibration and characterization will allow to set for best performance 
•Improvements and new features are in progress
Thanks 
mail :: cimmino@na.infn.it

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The MURAVES Tech - Tokyo 2014

  • 1. UNIVERSITA’ DEGLI STUDI DI NAPOLI FEDERICO II Luigi Cimmino November 12th, 2014 - Tokyo INTERNATIONAL WORKSHOP ON MUON & GEO-RADIATION PHYSICS FOR EARTH STUDIES
  • 2. MURAY AUTOMATIC REMOTE SYSTEM •Improvement of remote control software (automatic mail delivery service in case of warnings and errors) •Realization of an automated system for the telescope operations •Test of Voltage Follower Data Acquisition without the chiller 1. The PC is a Raspberry Pi minicomputer (few watts consumption) 2. SiPMs temperature is controlled using Arduino boards (10 bits DAC – 0.15°C sensibility) 3. Power supplies are controlled remotely (no handling required)
  • 3. ELECTRONICS UPGRADE •PIC Board has been replaced by a pin-to-pin connection with the Raspberry Pi GPIO •Implementation of an interrupt based protocol •Low level management of the communication •Increase of the data transmission bandwidth •Reduction of the dead times •Each slave board has an onboard power supply BEFORE AFTER PC PIC Micro controller MASTER Board Raspberry PI
  • 4. FRONT-END ELECTRONICS Low power consumption Application-Specific Integrated Circuit EASIROC Each slave board is programmed and read by the FPGA controller assembled on the master board 12 slave boards are controlled by a single master board Data flows are managed by the low level protocol that links the telescope electronics to the PC through the GPIO port A monitoring board reads each couple of PT1000 thermosensors mounted on the SiPMs board Room conditions are constantly monitored with a thermo- hygrometer connected to the PC muNet Slow Control Master Pi Board Slave Board 32 x SiPMs Slave Board 32 x SiPMs Slave Board 32 x SiPMs … … …
  • 5. DATA ACQUISITION MAIN FEATURES •Very low power consumption (Could be supplied by solar cells system) •Off-the-shelf technology (standard stores availability) •Open-source software (community support and code portability) •Modularity (the only problem is to have enough space)
  • 6. HYBRID EQUIPMENT Hygrometer Pt1000 thermoelectric sensor •Pt1000 read by ADue Local Monitoring Board •Thermal plate on the back •New generation SiPMs
  • 7. HAMAMATSU MPPC RESPONSE counts (a.u.) ADC value (a.u.) Dark counts (0.1 Hz)
  • 8. Dark counts (0.1 Hz) counts (a.u.) SIPMS FIRST TRIALS counts (a.u.) •32 SiPMs show an homogeneous response •At room temperature the dark rate is very low (75 – 150 kHz) near the electronic noise threshold
  • 9. SLAVE BOARD •EASIROC (Extended Analogue SiPM Integrated Read Out Chip) •Digital operations implemented in the FPGA •32 digit counters for each channel •Switching regulators provide all voltages needed by the time expansion circuit •Linear regulators provide high voltage for SiPMs and EASIROC operations •Programmable potentiometers to set the Hold time and the Timeout •External Power Supply support •3W power consumption
  • 10. EASIROC SCHEMATIC •Sample and Hold sampler •32 independent triggers and an OR32 trigger •No digital part •Low and high gain output
  • 11. MASTER PI SPECIFICS •Each master now mounts a dedicated credit card size PC Raspberry Pi •32 trigger input •Settable trigger configuration •Connect up to 32 slaves •DHCP Server •Apply settings to all connected Master Pi and read their data •Data storage •Watchdog functions •Internet link for remote functions •Slow Control NET FEATURES
  • 12. Raspberry Pi ( NET ) Data Base (MySQL) Sensors Raw data storage Data Power Supply Environment GENERAL SCHEMA Read Voltages Setup Voltages Settings Master Pi
  • 13. Data Analysis Remote Alarm Website USE OF THE DATABASE AND RAW DATA computer Linux OS DB Data Quality ONLINE OFFLINE
  • 14. HOW TO MEASURE THE TOF?  tX1 tY1 tX2 tY2 •Muons cross the detector •A certain trigger logic is satisfied •Relative time are recorded TOP Plane DOWN Plane
  • 15. TIME EXPANSION •A local trigger is produce on the slave board and transmitted to the master when a particle hits the relative plane •Master board receives all local triggers and if they fulfill the trigger logic, it sends to all slaves a global trigger (stop) •We want to measure the time between every single local trigger and the stop signal •From the production of the local trigger to the stop signal a capacitor is charged on each slave boards Local trigger Local trigger Enable window Stop Stop
  • 16. EXPERIMENTAL MEASURE OF THE TOF Measured TDC spread 1.6 counts 250 ps •Linear response •RMS indipendent from the delay delay (ns) counts (a.u.) counts (a.u.)
  • 17. CONCLUSIONS •The construction of the MURAVES detector will start at the beginning of 2015 •Tests and experiments to find best materials, sensors, computing and monitoring solutions lead to the development of the remotely controlled muon detector that constitutes the basic part of the MURAVES telescope •Its precise calibration and characterization will allow to set for best performance •Improvements and new features are in progress
  • 18. Thanks mail :: cimmino@na.infn.it