QUBIC

Minutes:

• Internship presentations:
  - not too much time on the cosmology introduction because otherwise not much time left for what you did
  - rehearsal on Wednesday afternoon

• Data analysis (Sabrina):
  - results from 12 NEP data sets from 2022 (very sporadic)
  - turnover distribution from I-V curves to find ideal bias for each ASIC
  - working on defining schedules, protocoles, etc.

• Machine Learning (Leonora):
  - Maria + Nifty: atmosphere with gaussian processes
  - the talk went well, proceeding to write for September
  - for the paper, need real data before the end of the year: goal for QUBIC, but in the meanwhile can use calibration data from APC or future Moon scans from La Puna
  - will work on noise in the ML method

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