Remove whitespaces from READMEs

Author: saganatt

machine_learning_hep/scripts-dhadrons/README.md

@@ -1,8 +1,8 @@
 # Helper scripts for inclusive hadron analysis
 
 - adjusting-run2-run3: fix Run 3 plots for comparison with Run 2 results
-- debugging: verify different stages of MLHEP processing 
-- merging: merge results from different MLHEP and cut variation runs  
+- debugging: verify different stages of MLHEP processing
+- merging: merge results from different MLHEP and cut variation runs
 - multitrial: a workflow to perform the multitrial (raw yield) systematics with MLHEP
 - preliminary-plots: scripts to plot invariant mass fits and cut variation results for ALICE preliminaries
 - run-mlhep: automate MLHEP running

machine_learning_hep/scripts-dhadrons/adjusting-run2-run3/README.md

@@ -3,7 +3,7 @@
 ## Add pT bins to extend the x-axis range on the plots
 
 File: `add_pt_bins.py`<br>
-Usage: `python add_pt_bins.py in_file.root histname out_file.root` 
+Usage: `python add_pt_bins.py in_file.root histname out_file.root`
 
 ROOT does not allow nicely to plot a histogram on a plot with x-axis wider than histogram minimum and maximum bins.
 
@@ -31,4 +31,4 @@ The Run 3 script only rescales the input histogram and saves the result in `out_
 
 The lines commented out provide more examples of rescaling.
 
-For Lc prompt cross section obtained during March 2025 approvals, only the uncommented lines in both files were used.  
+For Lc prompt cross section obtained during March 2025 approvals, only the uncommented lines in both files were used.

machine_learning_hep/scripts-dhadrons/debugging/README.md

@@ -24,4 +24,3 @@ Usage: `python plot_prompt_fraction_vs_bdt_cuts.py config_fraction_vs_bdt_cuts.j
 
 Adjust the JSON config. Here, you provide a glob pattern to all files of interest.
 By adjusting `histoname`, you can plot also the non-prompt fraction.
- 

machine_learning_hep/scripts-dhadrons/merging/README.md

@@ -43,4 +43,4 @@ For example, given `RESDIR_PATTERN`: `/data/MLHEP/results-today_`, `PERM_PATTERN
 
 Adjust `MLHEP_DIR`, `OUTPUT_DIR`, `RESDIR_PATTERN` and `PERM_PATTERN` in the script.
 
-You might also need to adjust the regular expression in line 12 and file paths in the for loop. 
+You might also need to adjust the regular expression in line 12 and file paths in the for loop.

machine_learning_hep/scripts-dhadrons/multitrial/README.md

@@ -9,7 +9,7 @@ Arguments:
 - `database_file`: filename of the template database without the .yml extension, e.g., `database_ml_parameters_LcToPKPi`
 - `in_db_dir`: path to the directory containing the database, e.g., `data/data_run3`
 - `out_db_dir`: path to the directory for output multitrial databases, e.g., `multitrial_db`
-- `mlhep_results_dir_pattern`: prefix of output directory name for fit results; for each trial, the trial name is appended to the directory name, and the resulting directory name is written under `Run3analysis/{data,mc}/prefix_dir_res` in the database file 
+- `mlhep_results_dir_pattern`: prefix of output directory name for fit results; for each trial, the trial name is appended to the directory name, and the resulting directory name is written under `Run3analysis/{data,mc}/prefix_dir_res` in the database file
 
 Adjust `DIR_PATH` in the script. It is the path to the base directory where you store directories with MLHEP results.
 

machine_learning_hep/scripts-dhadrons/preliminary-plots/README.md

@@ -8,7 +8,7 @@ Usage: `python plot_invmass_fit_dzero_dplus_lambdac.py config_invmass_preliminar
 Example config in `config_invmass_preliminary.yml`. It was used to draw the plots:
 - https://alice-figure.web.cern.ch/node/34090
 - https://alice-figure.web.cern.ch/node/34089
-- https://alice-figure.web.cern.ch/node/34088 
+- https://alice-figure.web.cern.ch/node/34088
 
 The script is passed in different versions around the D2H people. Here, it contains my few improvements, e.g., configurable multiplicity label.<br>
 I also commented out lines related to non-prompt particles as we had results only for the prompt case.
@@ -32,4 +32,4 @@ Adjust the script:
 - set `bdtScoreCuts` to the proper `bdtScoreCuts_...` variable
 - adjust `bdtScoreCuts_toPlot` and the corresponding indices in `bdtScoreCuts_toPlot_ind`; they are the cuts to label on the x-axis
 - adjust the input file name and histogram names in `DrawCutVarFit()`
-- adjust x-axis title, if needed 
+- adjust x-axis title, if needed

machine_learning_hep/scripts-dhadrons/systematics/README.md

@@ -13,4 +13,4 @@ The histogram labels in legend are taken from the dictionary labels in the JSON,
 
 It is also possible to specify the `y_axis` title and an additional description under the "ALICE Preliminary" header (`alice_text` variable in the config). The header itself and its position can be adjusted in the `get_alice_text` function in the Python script.
 
-Colors and markers can be adjusted at the beginning of the script. 
+Colors and markers can be adjusted at the beginning of the script.