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110 lines
3.4 KiB
110 lines
3.4 KiB
# flake8: noqa
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from parameterisations.utils.parse_regression_coef_to_array import (
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parse_regression_coef_to_array,
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)
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from parameterisations.utils.fit_linear_regression_model import (
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fit_linear_regression_model,
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)
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import uproot
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import argparse
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from pathlib import Path
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def parameterise_magnet_kink(
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input_file: str = "data/tracking_losses_ntuple_B_default_selected.root",
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tree_name: str = "Selected",
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) -> Path:
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"""Function that calculates parameters for estimating the magnet kink z position.
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Args:
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input_file (str, optional): Defaults to "data/param_data_selected.root".
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tree_name (str, optional): Defaults to "Selected".
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per_layer (bool, optional): If true also calculates parameters per SciFi layer. Defaults to False.
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Returns:
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Path: Path to cpp code file.
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"""
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input_tree = uproot.open({input_file: tree_name})
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# this is an event list of dictionaries containing awkward arrays
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array = input_tree.arrays()
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# array = allarray[
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# (allarray.ideal_state_770_x == allarray.ideal_state_770_x)
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# & (allarray.ideal_state_9410_x == allarray.ideal_state_9410_x)
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# & (allarray.ideal_state_10000_x == allarray.ideal_state_10000_x)
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# ]
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array["dSlope_xEndT"] = array["ideal_state_9410_tx"] - array["ideal_state_770_tx"]
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array["dSlope_xEndT_abs"] = abs(array["dSlope_xEndT"])
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array["x_EndT_abs"] = abs(array["ideal_state_9410_x"])
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# the magnet kink position is the point of intersection of the track tagents
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array["z_mag_xEndT"] = (
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array["ideal_state_770_x"]
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- array["ideal_state_9410_x"]
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- array["ideal_state_770_tx"] * array["ideal_state_770_z"]
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+ array["ideal_state_9410_tx"] * array["ideal_state_9410_z"]
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) / array["dSlope_xEndT"]
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# array = array[(array["z_mag_xEndT"] < 5500) & (array["z_mag_xEndT"] > 5000)]
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model_endt, poly_features_endt = fit_linear_regression_model(
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array,
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target_feat="z_mag_xEndT",
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features=[
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"ideal_state_770_tx",
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"dSlope_xEndT",
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"dSlope_xEndT_abs",
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"x_EndT_abs",
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],
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keep=[
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"ideal_state_770_tx^2",
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"dSlope_xEndT^2",
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"dSlope_xEndT_abs",
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"x_EndT_abs",
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],
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degree=2,
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fit_intercept=True,
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)
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cpp_ref = parse_regression_coef_to_array(
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model_endt,
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poly_features_endt,
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"zMagnetParamsEndT",
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)
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outpath = Path("parameterisations/result/z_mag_kink_params_electron.hpp")
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outpath.parent.mkdir(parents=True, exist_ok=True)
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with open(outpath, "w") as result:
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result.writelines(cpp_ref)
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return outpath
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if __name__ == "__main__":
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parser = argparse.ArgumentParser()
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parser.add_argument(
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"--input-file",
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type=str,
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help="Path to the input file",
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required=False,
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)
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parser.add_argument(
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"--tree-name",
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type=str,
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help="Path to the input file",
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required=False,
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)
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args = parser.parse_args()
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args_dict = {arg: val for arg, val in vars(args).items() if val is not None}
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outfile = parameterise_magnet_kink(**args_dict)
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try:
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import subprocess
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# run clang-format for nicer looking result
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subprocess.run(
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[
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"clang-format",
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"-i",
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f"{outfile}",
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],
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check=True,
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)
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except:
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pass
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