diff --git a/CHANGELOG.md b/CHANGELOG.md
index 572c5863..4013d9c4 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,5 +1,10 @@
 # OMC3 Changelog
 
+#### 2024-08-14 - v0.15.2 - _fesoubel_, _jdilly_
+
+- Fixed:
+  - Numpy's `ComplexWarning` was not part of main namespace in v2.0, so we import it directly
+
 #### 2024-08-14 - v0.15.1 - _fesoubel_
 
 - Fixed:
diff --git a/omc3/__init__.py b/omc3/__init__.py
index fa3fe948..2f58dcd9 100644
--- a/omc3/__init__.py
+++ b/omc3/__init__.py
@@ -11,7 +11,7 @@
 __title__ = "omc3"
 __description__ = "An accelerator physics tools package for the OMC team at CERN."
 __url__ = "https://github.com/pylhc/omc3"
-__version__ = "0.15.1"
+__version__ = "0.15.2"
 __author__ = "pylhc"
 __author_email__ = "pylhc@github.com"
 __license__ = "MIT"
diff --git a/omc3/correction/response_madx.py b/omc3/correction/response_madx.py
index 79742251..874cfbcb 100644
--- a/omc3/correction/response_madx.py
+++ b/omc3/correction/response_madx.py
@@ -21,11 +21,12 @@
 import zipfile
 import pandas as pd
 import tfs
+from numpy.exceptions import ComplexWarning
 from optics_functions.coupling import coupling_via_cmatrix
 
 import omc3.madx_wrapper as madx_wrapper
 from omc3.optics_measurements.constants import (BETA, DISPERSION, F1001, F1010,
-                                       NORM_DISPERSION, PHASE_ADV, TUNE)
+                                                NORM_DISPERSION, PHASE_ADV, TUNE)
 from omc3.correction.constants import INCR
 from omc3.model.accelerators.accelerator import Accelerator, AccElementTypes
 from omc3.utils import logging_tools
@@ -154,7 +155,7 @@ def _clean_up(temp_dir: Path, num_proc: int) -> None:
 
 def _load_madx_results(
     variables: List[str],
-    process_pool: multiprocessing.Pool,
+    process_pool,
     incr_dict: dict,
     temp_dir: Path
 ) -> Dict[str, tfs.TfsDataFrame]:
@@ -213,7 +214,7 @@ def _create_fullresponse_from_dict(var_to_twiss: Dict[str, tfs.TfsDataFrame]) ->
     resp = np.divide(resp,resp[columns.index(f"{INCR}")])
     Q_arr = np.column_stack((resp[columns.index(f"{TUNE}1"), 0, :], resp[columns.index(f"{TUNE}2"), 0, :])).T
  
-    with suppress_warnings(np.ComplexWarning):  # raised as everything is complex-type now
+    with suppress_warnings(ComplexWarning):  # raised as everything is complex-type now
         return {
             f"{PHASE_ADV}X": pd.DataFrame(data=resp[columns.index(f"{PHASE_ADV}X")], index=bpms, columns=keys).astype(np.float64),
             f"{PHASE_ADV}Y": pd.DataFrame(data=resp[columns.index(f"{PHASE_ADV}Y")], index=bpms, columns=keys).astype(np.float64),