DQM optimization

[jlenain]

This PR proposes to clean, streamline and optimize the DQM code. At the moment, I benchmarked a speed-up of a factor 3 on the processing time.

[codecov]

Codecov Report

Attention: Patch coverage is 30.83832% with 231 lines in your changes missing coverage. Please review.

Project coverage is 53.36%. Comparing base (3fe9480) to head (237153c).
Report is 1 commits behind head on main.

Files with missing lines	Patch %	Lines
src/nectarchain/dqm/charge_integration.py	12.38%	99 Missing ⚠️
src/nectarchain/dqm/mean_waveforms.py	27.08%	35 Missing ⚠️
src/nectarchain/dqm/start_dqm.py	0.00%	31 Missing ⚠️
src/nectarchain/dqm/pixel_timeline.py	39.47%	23 Missing ⚠️
src/nectarchain/dqm/camera_monitoring.py	50.00%	11 Missing ⚠️
src/nectarchain/dqm/dqm_summary_processor.py	66.66%	11 Missing ⚠️
src/nectarchain/dqm/pixel_participation.py	57.14%	9 Missing ⚠️
src/nectarchain/dqm/mean_camera_display.py	53.33%	7 Missing ⚠️
src/nectarchain/dqm/trigger_statistics.py	61.53%	5 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #203      +/-   ##
==========================================
+ Coverage   52.25%   53.36%   +1.11%     
==========================================
  Files          76       76              
  Lines        6329     6234      -95     
==========================================
+ Hits         3307     3327      +20     
+ Misses       3022     2907     -115     

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[jlenain]

In the end, the speed-up factor is about 4-5, and memory consumption is reduced by a factor ~8 on large runs.