diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..20a8810
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,166 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/latest/usage/project/#working-with-version-control
+.pdm.toml
+.pdm-python
+.pdm-build/
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
+
+# VSCode
+.vscode
+pypho
diff --git a/src/single-core-regen/_path_fix.py b/src/single-core-regen/_path_fix.py
new file mode 100644
index 0000000..72e5669
--- /dev/null
+++ b/src/single-core-regen/_path_fix.py
@@ -0,0 +1,9 @@
+import sys
+from pathlib import Path
+
+# hack to add the parent directory to the path -> pypho doesn't have to be installed as package
+parent_dir = Path(__file__).parent
+while not (parent_dir / "pypho").exists() and parent_dir != Path("/"):
+    parent_dir = parent_dir.parent
+print(f"Adding '{parent_dir}' to 'sys.path' to enable import of '{parent_dir / 'pypho'}'")
+sys.path.append(str(parent_dir))
diff --git a/src/single-core-regen/generate_signal.py b/src/single-core-regen/generate_signal.py
new file mode 100644
index 0000000..2028f53
--- /dev/null
+++ b/src/single-core-regen/generate_signal.py
@@ -0,0 +1,216 @@
+import configparser
+from datetime import datetime
+import hashlib
+from pathlib import Path
+from matplotlib import pyplot as plt
+import numpy as np
+
+from rich import inspect
+
+import _path_fix  # noqa: F401
+import pypho
+import io
+# import inspect
+
+default_config = f"""
+[glova]
+sps = 256
+nos = 256
+f0 = 193414489032258.06
+symbolrate = 10e9
+wisdom_dir = "{str((Path.home()/".pypho"))}"
+flags = "FFTW_PATIENT"
+nthreads = 32
+
+[fiber]
+length = 80000
+gamma = 1.14
+alpha = 0.2
+D = 17
+S = 0
+birefsteps = 1
+birefseed = 0xC0FFEE
+
+[signal]
+modulation = "pam"
+mod_order = 4
+seed = 0xC0FFEE
+pulse_shape = "gauss_rz"
+fwhm = 0.33
+
+[script]
+data_dir = "{str((Path.home()/".pypho"/"data"))}"
+"""
+
+
+
+def get_config(config_file=None):
+    """
+    DANGER! The function uses eval() to parse the config file. Do not use this function with untrusted input.
+    """
+    if config_file is None:
+        config_file = Path(__file__).parent / "signal_generation.ini"
+    if not config_file.exists():
+        with open(config_file, "w") as f:
+            f.write(default_config)
+    config = configparser.ConfigParser()
+    config.read(config_file)
+
+    conf = {}
+    for section in config.sections():
+        # print(f"[{section}]")
+        conf[section] = {}
+        for key in config[section]:
+            # print(f"{key} = {config[section][key]}")
+            conf[section][key] = eval(config[section][key])
+            # if isinstance(conf[section][key], str):
+            #     conf[section][key] = config[section][key].strip('"')
+    return conf
+
+def initialize_fiber_and_data(config, input_data_override=None):
+    py_glova = pypho.setup(
+        nos = config['glova']['nos'],
+        sps = config['glova']['sps'],
+        f0 = config['glova']['f0'],
+        symbolrate=config['glova']['symbolrate'],
+        wisdom_dir = config['glova']['wisdom_dir'],
+        flags = config['glova']['flags'],
+        nthreads = config['glova']['nthreads'],
+    )
+
+    c_glova = pypho.cfiber.GlovaWrapper.from_setup(py_glova)
+    c_data = pypho.cfiber.DataWrapper(py_glova.sps * py_glova.nos)
+
+    if input_data_override is not None:
+        c_data.E_in = input_data_override
+    else:
+        symbolsrc = pypho.symbols(py_glova, py_glova.nos, pattern='ones', seed=config['signal']['seed'])
+        esigsrc = pypho.signalsrc(py_glova, pulseshape=config['signal']['pulse_shape'], fwhm=config['signal']['fwhm'])
+        sig = pypho.lasmod(py_glova, power=0, Df=0, theta=np.pi/4)
+        modulator = pypho.arbmod(py_glova)
+
+        symbols_x = symbolsrc(pattern='random', p1=config['signal']['mod_order'])
+        symbols_y = symbolsrc(pattern='random', p1=config['signal']['mod_order'])
+
+        ones = symbolsrc(pattern='ones')
+        esig = esigsrc(bitsequence=ones)*np.sqrt(2)
+
+        source_signal = sig(esig)
+
+        constpts_x = [np.linspace(1/config['signal']['mod_order'], 1, config['signal']['mod_order'], endpoint=True, dtype=np.complex128)]
+        constpts_y = [np.linspace(1/config['signal']['mod_order'], 1, config['signal']['mod_order'], endpoint=True, dtype=np.complex128)]
+
+        source_signal = modulator(E=source_signal, symbols = (symbols_x, symbols_y), constpoints= (constpts_x, constpts_y))
+
+        c_data.E_in = source_signal[0]['E']
+
+    py_fiber = pypho.fiber(
+        glova = py_glova,
+        l=config['fiber']['length'],
+        alpha=pypho.functions.dB_to_Neper(config['fiber']['alpha'])/1000,
+        gamma=config['fiber']['gamma'],
+        D=config['fiber']['d'],
+        S=config['fiber']['s'],
+    )
+    py_fiber.birefarray = pypho.birefringence_segment.create_pmd_fibre(py_fiber.l, py_fiber.l/config['fiber']['birefsteps'], 0, config['fiber']['birefseed'])
+    c_params = pypho.cfiber.ParamsWrapper.from_fiber(py_fiber)
+    c_fiber = pypho.cfiber.FiberWrapper(c_data, c_params, c_glova)
+
+    return c_fiber, c_data
+
+
+def save_data(data, config):
+    data_dir = Path(config['script']['data_dir'])
+    save_dir = data_dir
+    save_dir.mkdir(parents=True, exist_ok=True)
+    save_data = np.column_stack([data.E_in[0], data.E_in[1], data.E_out[0], data.E_out[1]])
+    timestamp = datetime.now()
+    config_content = '\n'.join((
+        f"; Generated by {str(Path(__file__).name)} @ {timestamp.strftime("%Y-%m-%d %H:%M:%S")}",
+        "[glova]",
+        f"sps = {config['glova']['sps']}",
+        f"nos = {config['glova']['nos']}",
+        f"f0 = {config['glova']['f0']}",
+        f"symbolrate = {config['glova']['symbolrate']}",
+        f'wisdom_dir = "{config['glova']['wisdom_dir']}"',
+        f'flags = "{config["glova"]["flags"]}"',
+        f"nthreads = {config['glova']['nthreads']}",
+        "",
+        "[fiber]",
+        f"length = {config['fiber']['length']}",
+        f"gamma = {config['fiber']['gamma']}",
+        f"alpha = {config['fiber']['alpha']}",
+        f"D = {config['fiber']['d']}",
+        f"S = {config['fiber']['s']}",
+        f"birefsteps = {config['fiber']['birefsteps']}",
+        f"birefseed = {config['fiber']['birefseed']}",
+        "",
+        "[signal]",
+        f'modulation = "{config['signal']['modulation']}"',
+        f"mod_order = {config['signal']['mod_order']}",
+        f"seed = {config['signal']['seed']}",
+        f'pulse_shape = "{config["signal"]["pulse_shape"]}"',
+        f"fwhm = {config['signal']['fwhm']}",
+        "",
+        "[script]",
+        f'data_dir = "{config["script"]["data_dir"]}"',
+    ))
+    config_hash = hashlib.md5(config_content.encode()).hexdigest()
+    save_file = f"npys/{config_hash}.npy"
+    config_content += f'\n\n[DATA]\nfile = "{str(save_file)}\n"'
+
+    filename_components = (
+        timestamp.strftime("%Y%m%d-%H%M%S"),
+        config['glova']['sps'],
+        config['glova']['nos'],
+        config['fiber']['length'],
+        config['fiber']['gamma'],
+        config['fiber']['alpha'],
+        config['fiber']['d'],
+        config['fiber']['s'],
+        f"{config['signal']['modulation'].upper()}{config['signal']['mod_order']}",
+    )
+
+    lookup_file = "-".join(map(str, filename_components)) + ".ini"
+    with open(data_dir / lookup_file, "w") as f:
+        f.write(config_content)
+
+    np.save(save_dir / save_file, save_data)
+
+    print("Saved config to", data_dir / lookup_file)
+    print("Saved data to", save_dir / f"{config_hash}.npy")
+
+    
+
+if __name__ == "__main__":
+    config = get_config()
+
+    # loop over lengths
+    # lengths = [1000, 2000, 4000, 8000, 16000, 32000, 64000, 128000]
+    lengths = [1000, 2000, 3000, 4000, 5000, 6000, 7000, 8000, 9000, 10000, 20000, 30000, 40000, 50000, 60000, 70000, 80000, 90000, 100000]
+    lengths = sorted(lengths)
+    input_override = None
+    for lind, length in enumerate(lengths):
+        print(f"\nGenerating data for fiber length {length}")
+        # if lind > 0:
+        #     # set the length to the difference between the current and previous length -> incremental
+        #     length = lengths[lind] - lengths[lind-1]
+        # print(f"\nGenerating data for fiber length {lengths[lind]}m -> {length}m")
+        config['fiber']['length'] = length
+        # set the input data to the output data of the previous run
+        cfiber, cdata = initialize_fiber_and_data(config, input_data_override=input_override)
+        cfiber()
+        # input_override = cdata.E_out
+        save_data(cdata, config)
+    # cfiber, cdata = initialize_fiber_and_data(config)
+    # cfiber()
+    # save_data(cdata, config)
+
+    # fig, axs = plt.subplots(2, 2, sharex=True, sharey=True)
+    # xax = np.linspace(0, cfiber.glova.nos, cfiber.glova.nos*cfiber.glova.sps)-0.5
+    # axs[0,0].plot(xax,np.abs(cdata.E_in[0]))
+    # axs[1,0].plot(xax,np.abs(cdata.E_in[1]))
+    # axs[0,1].plot(xax,np.abs(cdata.E_out[0]))
+    # axs[1,1].plot(xax,np.abs(cdata.E_out[1]))
+
+    # plt.show()
diff --git a/src/single-core-regen/signal_generation.ini b/src/single-core-regen/signal_generation.ini
new file mode 100644
index 0000000..9d2ae16
--- /dev/null
+++ b/src/single-core-regen/signal_generation.ini
@@ -0,0 +1,31 @@
+[glova]
+; sps = 256
+; nos = 2**17
+sps = 128
+nos = 2**14
+f0 = 193414489032258.06
+; -> delta0 = 1550.0 nm
+symbolrate = 10e9
+wisdom_dir = "/home/suppl/.pypho"
+flags = "FFTW_PATIENT"
+nthreads = 32
+
+[fiber]
+length = 1000
+gamma = 1.14
+alpha = 0.2
+D = 17
+; 1700 ps/nm/km @ 1 km length is equivalent to 17 ps/nm/km @ 100 km length but the simulation is way faster
+S = 0
+birefsteps = 0
+; birefseed = 0xC0FFEE
+
+[signal]
+modulation = "pam"
+mod_order = 4
+; seed = 0xC0FFEE
+pulse_shape = "gauss_rz"
+fwhm = 0.33
+
+[script]
+data_dir = "/home/suppl/.pypho/data"
\ No newline at end of file