BLOCK 1: rot_z alignment
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1) run distributions; no input alignment
2) run y_alignment; input alignment does not matter
3) run global_alignment/tilt_fit and check whether the "smooth" graph describes well the data
4) run rot_z_alignment
5) run global_alignment/collect_alignments; collect only the rot_z alignments and make them a standard file


BLOCK 2: sh_x alignment
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1) run distributions; input alignment is the rot_z file from previous step
2) run match
3) define fine corrections and import them to process_alignments.cc TODO: rename it
4) run process_alignments
5) run global_alignment/collect_alignments; collect both rot_z (step 1.5) and sh_x (2.4) alignments and make them a standard file
6) run relative_fine_tuning; input alignment from step 2.5
7) run global_alignment/collect_alignments: collect rot_z (step 1.5) and sh_x (step 2.6)


BLOCK 3: sh_y alignment
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1) run y_alignment; input alignment from step 2.7
2) run global_alignment/collect_alignments: rot_z (step 1.5), sh_x (step 2.6) and sh_y (step 3.1)