midas_to_phiat.py Overview

• Converts MIDAS files from MPET DAQ to PhIAT-compatible format

• Written in Python

• Input: directory to MIDAS files (.mid.lz4)

  • Example: C:UsersaczihalyDocumentsPIICR_AnalysisDataActualmultiple_consecutive_files

• Output:

  • .csv files containing position, time-of-flight and TDC trigger information

  • .csv files containing approximate count rates

  • One .csv file containing an address list of converted MIDAS files, their accumulations times (Taccs) and reference files assignments

Background

Four pieces of information are important and relevent for PI-ICR analysis and they are

1. x position (mm)

2. y position (mm)

3. time of flight (s)

   • from extraction to detector

4. trigger (integer) or timestamp (s)

   • CAEN: trigger

     • Trigger number an ion hit came during (starting from 0 at file beginning)

   • VT2: timestamp

     • Timestamp of event relative to initial trigger time

What is <part of subject> ?

(info here if i want)

Initialization

• On Line 20: Change the address in sys.path.append from ‘/Users/wsporter/Documents/Physics_Research/TITAN/PIICR_Analysis/titan_data’ to the local address of titan_data on your computer

  • Download titan_data: https://bitbucket.org/ttriumfdaq/titan_data/src/master/

  • Example: sys.path.append(‘/Users/aczihaly/Documents/PIICR_Analysis/titan_data’)

• all_one_file:

  • Default is all_one_file = TRUE for PI-ICR analysis

• CAEN/ VT2: Set TRUE whichever TDC is being used to read out data (indicated in the MPET DAQ under ‘Scan’)

  • Default is CAEN = TRUE

  • CAEN and VT2 cannot both be true- this will trigger an error

• testing: If you are using test data from MIDAS that DOES NOT include a reference file (i.e. a Tacc of 0), set to TRUE (automatically assigns the last file a Tacc of 0, as needed to run through the script)

  • Otherwise, set to FALSE (the default for normal data)

Following the steps, you are now ready to use midas_to_phiat.py automatically as part of PhIAT or independently.