diff --git a/.ipynb_checkpoints/display-checkpoint.py b/.ipynb_checkpoints/display-checkpoint.py
deleted file mode 100755
index cc24d81..0000000
--- a/.ipynb_checkpoints/display-checkpoint.py
+++ /dev/null
@@ -1,186 +0,0 @@
-#!/usr/bin/env python3
-
-from gettext import install
-from backscattering_analyzer.display import show_projection  # type: ignore[reportMissingTypeStubs]
-from backscattering_analyzer.experiment import AcquisitionType, Experiment  # type: ignore[reportMissingTypeStubs]
-from logging import basicConfig, getLogger
-from rich.console import Console
-from rich.theme import Theme
-from rich.logging import RichHandler
-from warnings import filterwarnings
-from command_parser.flag import Flag  # type: ignore[reportMissingTypeStubs]
-from command_parser.value import Value  # type: ignore[reportMissingTypeStubs]
-from command_parser.parser import parse  # type: ignore[reportMissingTypeStubs]
-from sys import argv
-from importlib.metadata import version
-
-install(__name__)
-
-filterwarnings("error")
-
-flags = [
-    Flag("help"),
-    Flag("version", single_char="V"),
-    Flag("verbose"),
-    Flag("full"),
-]
-values = [
-    Value("date", "2023_03_24"),
-    Value("bench", "SDB1"),
-    Value("file", "values.toml", single_char="F"),
-    Value("vibration-frequency", "0.2"),
-]
-parse(" ".join(argv[1:]), flags, values)
-
-if flags[0].value:
-    theme = Theme(
-        {
-            "main": "white bold",
-            "option": "grey50 italic",
-            "argument": "red",
-            "description": "green italic",
-        }
-    )
-    console = Console(theme=theme)
-    help = (
-        "[main]display[/main] [option]\\[options][/option]"
-        "\n  [argument]-b --bench[/argument]   [description]bench of the experiment[/description]"
-        "\n  [argument]-d --date[/argument]    [description]date of the experiment[/description]"
-        "\n  [argument]-h --help[/argument]    [description]print this help and exit[/description]"
-        "\n  [argument]-f --full[/argument]    [description]run experiment with all benches with all dates[/description]"
-        "\n  [argument]-F --file[/argument]    [description]file containing all the parameters values (toml file)[/description]"
-        "\n  [argument]-v --verbose[/argument] [description]be verbose[/description]"
-        "\n  [argument]-V --version[/argument] [description]print version number and exit[/description]"
-    )
-    console.print(help)
-    exit(0)
-
-if flags[1].value:
-    version = (
-        "Versions\n"
-        "numpy  {numpy}\n"
-        "scipy  {scipy}\n"
-        "matplotlib  {matplotlib}\n"
-        "science_signal  {science_signal}\n"
-        "backscattering_analyzer  {backscattering_analyzer}\n"
-        "command_parser  {command_parser}\n"
-        "script  0.1.0\n"
-    ).format(
-        numpy=version("numpy"),
-        scipy=version("scipy"),
-        matplotlib=version("matplotlib"),
-        science_signal=version("science_signal"),
-        backscattering_analyzer=version("backscattering_analyzer"),
-        command_parser=version("command_parser"),
-    )
-    console = Console()
-    console.print(version)
-    exit(0)
-
-if flags[2].value:
-    level = "DEBUG"
-else:
-    level = "INFO"
-
-
-basicConfig(
-    level=level,
-    format="%(message)s",
-    datefmt="[%X]",
-    handlers=[RichHandler()],
-)
-
-logger = getLogger(__name__)
-
-if flags[3].value:
-    logger.debug(_("loading every experiments"))
-    experiments: list[Experiment] = []
-    results: dict[str, float | None] = dict({})
-    for bench in ["SDB1", "SDB2", "SNEB", "SWEB"]:
-        if bench in ["SDB1", "SDB2"]:
-            experiment = Experiment(
-                bench,
-                "2023_03_24",
-                values[2].value,
-                float(values[3].value),
-            )
-            if bench == "SDB1":
-                start_frequency, end_frequency = 12.5, 30
-            else:
-                start_frequency, end_frequency = 40, 50
-            experiment.factors = experiment.fit_factors(
-                start_frequency=start_frequency,
-                end_frequency=end_frequency,
-            )
-            results[
-                "{bench}-{date}".format(
-                    bench=bench,
-                    date="2023_03_24",
-                )
-            ] = experiment.factors["true"]
-        elif bench == "SNEB":
-            for date in ["2023_03_24", "2024_01_21"]:
-                experiment = Experiment(
-                    bench,
-                    date,
-                    values[2].value,
-                    float(values[3].value),
-                )
-                experiment.factors = experiment.fit_factors(
-                    start_frequency=15,
-                    end_frequency=100,
-                )
-                results["{bench}-{date}".format(bench=bench, date=date)] = (
-                    experiment.factors["true"]
-                )
-        else:  # bench == SWEB
-            for date in ["2023_03_24", "2023_12_20"]:
-                experiment = Experiment(
-                    bench,
-                    date,
-                    values[2].value,
-                    float(values[3].value),
-                )
-                experiment.factors = experiment.fit_factors(
-                    start_frequency=15,
-                    end_frequency=100,
-                )
-                results["{bench}-{date}".format(bench=bench, date=date)] = (
-                    experiment.factors["true"]
-                )
-    console = Console()
-    console.print(results)
-
-else:
-    experiment = Experiment(
-        values[1].value, values[0].value, values[2].value, float(values[3].value)
-    )
-
-    if experiment.bench == "SDB1":
-        start_frequency, end_frequency = 12.5, 30
-    elif experiment.bench == "SDB2":
-        start_frequency, end_frequency = 40, 50
-    else:
-        start_frequency, end_frequency = 15, 100
-
-    try:
-        experiment.factors = experiment.fit_factors(
-            start_frequency=start_frequency,
-            end_frequency=end_frequency,
-        )
-        experiment.projection_reference = experiment.compute_projection(
-            AcquisitionType.REFERENCE
-        )
-        experiment.projection_excited = experiment.compute_projection(
-            AcquisitionType.EXCITED
-        )
-    except AttributeError:
-        pass
-
-    #show_projection(experiment, start_frequency, end_frequency)
-    import matplotlib.pyplot as plt
-    plt.loglog(experiment.coupling[0].x, experiment.coupling[0].y)
-    plt.loglog(experiment.coupling[1].x, experiment.coupling[1].y)
-    plt.show()
-
-exit(0)