diff --git a/CHANGELOG.md b/CHANGELOG.md
index fda21eab..f148c713 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,12 +1,21 @@
 # HEAD
 
+-   **Breaking change**: Stop supporting NumPy 1.x and move to NumPy 2.x. Add support for Python 3.14 [#519](https://github.com/litebird/litebird_sim/pull/519)
+
+-   **Breaking change**: Major reworking of the interfaces and handling of inputs across the framework [#479](https://github.com/litebird/litebird_sim/pull/479), in detail:
+
+    1. Rework the handling of spherical harmonics by integrating ducc0 as the primary engine for SHT operations, including interpolation.
+    2. New container for healpix maps called HealpixMap and further improvement of the class SphericalHarmonics. All the simulation modules are now only compatible with these new classes.
+    3. MBs replaced by a more flexible and simple module called input_sky.
+    4. Expansion of the class Units with several new functionalities. Integration with astropy and pysm3 improved.
+
 -   Refactor `input_sky.SkyGenerator` to reduce duplicated logic between channel/detector mode and frequency mode by using shared component-generation helpers for CMB, foregrounds, and dipole [#501](https://github.com/litebird/litebird_sim/pull/501)
 
 -   Simple pair differencing map-maker [#509](https://github.com/litebird/litebird_sim/pull/509)
 
 -   Update dependency on Ducc and Numba [#502](https://github.com/litebird/litebird_sim/pull/502)
 
--   Add multi-frequency support to HealpixMap and SphericalHarmonics. New option for generation of multi-frequency maps in input_sky [#496](https://github.com/litebird/litebird_sim/pull/496)
+-   Add multi-frequency support to HealpixMap and SphericalHarmonics. New option for generation of multi-frequency maps in `input_sky` [#496](https://github.com/litebird/litebird_sim/pull/496)
 
 -   Fix normalization in the generation of gaussian beam alms [#494](https://github.com/litebird/litebird_sim/pull/494)
 
@@ -14,17 +23,10 @@
 
 -   Small optimizations in beam convolver [#492](https://github.com/litebird/litebird_sim/pull/492)
 
--   Fixed a TypeError in Observation when allocate_tod=False in MPI jobs [#491](https://github.com/litebird/litebird_sim/pull/491)
+-   Fixed a TypeError in Observation when `allocate_tod=False` in MPI jobs [#491](https://github.com/litebird/litebird_sim/pull/491)
 
 -   Save memory in pointing generation [#488](https://github.com/litebird/litebird_sim/pull/488)
 
--   **Breaking change**: Major reworking of the interfaces and handling of inputs across the framework [#479](https://github.com/litebird/litebird_sim/pull/479), in detail:
-
-    1. Rework the handling of spherical harmonics by integrating ducc0 as the primary engine for SHT operations, including interpolation.
-    2. New container for healpix maps called HealpixMap and further improvement of the class SphericalHarmonics. All the simulation modules are now only compatible with these new classes.
-    3. MBs replaced by a more flexible and simple module called input_sky.
-    4. Expansion of the class Units with several new functionalities. Integration with astropy and pysm3 improved.
-
 -   Add automatic type-checking with ty [#481](https://github.com/litebird/litebird_sim/pull/481)
 
 -   Stop using sphinxcontrib-asciinema [#478](https://github.com/litebird/litebird_sim/pull/478)
@@ -39,10 +41,10 @@
 
 -   Refurbish HWP handling [#463](https://github.com/litebird/litebird_sim/pull/463), in detail:
         
-    1. Create NonIdealHWP class.
-    2. Remove HwpSys class.
-    3. Rename hwp_sys.py to hwp_harmonics.py.
-    4. Unify map scanning methods by making hwp_harmonics.fill_tod() a low-level method which is now executed by the high-level scan_map_in_observations.py.
+    1. Create `NonIdealHWP` class.
+    2. Remove `HwpSys class`.
+    3. Rename `hwp_sys.py` to `hwp_harmonics.py`.
+    4. Unify map scanning methods by making `hwp_harmonics.fill_tod()` a low-level method which is now executed by the high-level scan_map_in_observations.py.
 
 -   Fix angle in hwp differential emission [#452](https://github.com/litebird/litebird_sim/pull/452)
 
@@ -50,7 +52,7 @@
 
 -   Improved `SphericalHarmonics` class, algebra and I/O implemented [#448](https://github.com/litebird/litebird_sim/pull/448)
 
--   Change hwp_angle calculation to the complex domain [#433](https://github.com/litebird/litebird_sim/pull/433)
+-   Change `hwp_angle` calculation to the complex domain [#433](https://github.com/litebird/litebird_sim/pull/433)
 
 # Version 0.16.0
 
@@ -72,7 +74,7 @@
 
 -   Add low-level interface to `BrahMap` [#440](https://github.com/litebird/litebird_sim/pull/440)
 
--   Set Mueller matrix phases in Hwp_sys module as class attributes, instead of being hardcoded [#442](https://github.com/litebird/litebird_sim/pull/442)
+-   Set Mueller matrix phases in `Hwp_sys` module as class attributes, instead of being hardcoded [#442](https://github.com/litebird/litebird_sim/pull/442)
 
 # Version 0.15.2
 
@@ -84,9 +86,9 @@
 
 -   Make sure that the PTEP IMo, the Madam templates, and the static files required to create the HTML reports are installed properly by `pip` and enable Binder/Google Colab [#436](https://github.com/litebird/litebird_sim/pull/436)
 
--   Make the HWP_sys module able to deal with missing pixels, let the output maps to use a different NSIDE than the one of the inputs [#432](https://github.com/litebird/litebird_sim/pull/432)
+-   Make the `HWP_sys` module able to deal with missing pixels, let the output maps to use a different NSIDE than the one of the inputs [#432](https://github.com/litebird/litebird_sim/pull/432)
 
--   Fix bug in the computation of pointings for the HWP_sys module [#429](https://github.com/litebird/litebird_sim/pull/429)
+-   Fix bug in the computation of pointings for the `HWP_sys` module [#429](https://github.com/litebird/litebird_sim/pull/429)
 
 -   Upgrade PySM to 3.4.2 [#431](https://github.com/litebird/litebird_sim/pull/431)
 
@@ -373,7 +375,7 @@
 
 -   Create a script that fetches information about the latest release and produce a release announcement [PR#156](https://github.com/litebird/litebird_sim/pull/156)
 
--   Option for rotating the pointing from ecliptic to galactic coordinates in scan_map [#164](https://github.com/litebird/litebird_sim/pull/164)
+-   Option for rotating the pointing from ecliptic to galactic coordinates in `scan_map` [#164](https://github.com/litebird/litebird_sim/pull/164)
 
 -   Fix issue [#148](https://github.com/litebird/litebird_sim/issues/148)
 
@@ -435,7 +437,7 @@
 
 - Make tests run faster by using ducc0 0.8.0 [PR#92](https://github.com/litebird/litebird_sim/pull/92)
 
-- Misc minor changes: gitignore .DS_Store; losslessly compress some assets [PR#88](https://github.com/litebird/litebird_sim/pull/88)
+- Misc minor changes: `gitignore`, `.DS_Store`; losslessly compress some assets [PR#88](https://github.com/litebird/litebird_sim/pull/88)
 
 - Improve the `Observation` API. Deprecate the pointing-related methods (moved to `scanning`), quantities are local by default [PR#84](https://github.com/litebird/litebird_sim/pull/84)
 
diff --git a/litebird_sim/bandpasses.py b/litebird_sim/bandpasses.py
index 47eef8bf..73695a78 100644
--- a/litebird_sim/bandpasses.py
+++ b/litebird_sim/bandpasses.py
@@ -1,9 +1,9 @@
+import logging
 from dataclasses import dataclass, fields
+from uuid import UUID
 
 import numpy as np
 import scipy as sp
-import logging
-from uuid import UUID
 
 from .imo import Imo
 
@@ -166,7 +166,7 @@ def normalize_band(self):
         Normalize the band transmission coefficients
 
         """
-        A = np.trapz(self.weights, self.freqs_ghz)
+        A = np.trapezoid(self.weights, self.freqs_ghz)
         self.weights /= A
         self.isnormalized = True
 
@@ -225,7 +225,7 @@ def get_normalization(self):
         """
         Estimate the integral over the frequency band
         """
-        return np.trapz(self.weights, self.freqs_ghz)
+        return np.trapezoid(self.weights, self.freqs_ghz)
 
     # Find effective central frequency of a bandpass profile
     def find_central_frequency(self):
@@ -233,10 +233,10 @@ def find_central_frequency(self):
         a bandpass profile as defined in https://arxiv.org/abs/1303.5070
         """
         if self.isnormalized:
-            return np.trapz(self.freqs_ghz * self.weights, self.freqs_ghz)
+            return np.trapezoid(self.freqs_ghz * self.weights, self.freqs_ghz)
         else:
             return (
-                np.trapz(self.freqs_ghz * self.weights, self.freqs_ghz)
+                np.trapezoid(self.freqs_ghz * self.weights, self.freqs_ghz)
                 / self.get_normalization()
             )
 
@@ -342,6 +342,6 @@ def bandpass_resampling(self, bstrap_size=1000, nresample=54, model=None):
             )(self.freqs_ghz)
         )
         if self.isnormalized:
-            return resampled_bpass / np.trapz(resampled_bpass, self.freqs_ghz)
+            return resampled_bpass / np.trapezoid(resampled_bpass, self.freqs_ghz)
         else:
             return resampled_bpass
diff --git a/litebird_sim/grasp2alm.py b/litebird_sim/grasp2alm.py
index 409bc1ed..61ec93e3 100644
--- a/litebird_sim/grasp2alm.py
+++ b/litebird_sim/grasp2alm.py
@@ -57,7 +57,10 @@ def __init__(self, healpix_map):
     def _check_reason(
         self, reason: int, iter_count: int, residual_norm: float, quality: float
     ) -> None:
-        assert reason in (1, 2), (
+        assert reason in (
+            1,
+            2,
+        ), (
             f"pseudo_analysis failed, reason: {REASON_DESCRIPTION[reason]}, {iter_count=}, {residual_norm=}, {quality=}"
         )
 
@@ -95,7 +98,7 @@ def to_alm(
             (3, SphericalHarmonics.num_of_alm_from_lmax(lmax, mmax)),
             dtype=np.complex128,
         )
-        (_, reason, iter_count, residual_norm, quality) = ducc0.sht.pseudo_analysis(
+        _, reason, iter_count, residual_norm, quality = ducc0.sht.pseudo_analysis(
             map=self.map[0].reshape(1, -1),  # Make this a 2D matrix
             alm=alm[0, :].reshape(1, -1),
             lmax=lmax,
@@ -190,7 +193,7 @@ def beam_mapmaker(
         if hit_map[i] > 0:
             output_map[i] /= hit_map[i]
         else:
-            output_map[i] = np.NaN
+            output_map[i] = np.nan
 
 
 @dataclass
diff --git a/litebird_sim/hwp_diff_emiss.py b/litebird_sim/hwp_diff_emiss.py
index 35be947a..2d01c680 100644
--- a/litebird_sim/hwp_diff_emiss.py
+++ b/litebird_sim/hwp_diff_emiss.py
@@ -19,7 +19,7 @@ def compute_2f_for_one_sample(angle_rad, offset_rad, amplitude_k):
 def add_2f_for_one_detector(
     tod_det, angle_det_rad, offset_angle_rad: float, amplitude_k
 ):
-    for i, cur_angle in enumerate(angle_det_rad):  # type: ignore[not-iterable]
+    for i, cur_angle in enumerate(angle_det_rad):
         tod_det[i] += compute_2f_for_one_sample(
             angle_rad=cur_angle, offset_rad=offset_angle_rad, amplitude_k=amplitude_k
         )
diff --git a/litebird_sim/pointings_in_obs.py b/litebird_sim/pointings_in_obs.py
index a4142e85..a0f54623 100644
--- a/litebird_sim/pointings_in_obs.py
+++ b/litebird_sim/pointings_in_obs.py
@@ -1,20 +1,17 @@
 from collections.abc import Callable
 
+import astropy.time
 import numpy as np
 import numpy.typing as npt
-import astropy.time
-
 from deprecated import deprecated
-
 from ducc0.healpix import Healpix_Base
 
+from .coordinates import CoordinateSystem, rotate_coordinates_e2g
 from .detectors import InstrumentInfo
 from .hwp import HWP
 from .observations import Observation
 from .scanning import RotQuaternion
 
-from .coordinates import CoordinateSystem, rotate_coordinates_e2g
-
 
 def prepare_pointings(
     observations: Observation | list[Observation],
@@ -169,7 +166,7 @@ def _get_hwp_angle(
                 return obs.get_hwp_angle(pointings_dtype=pointing_dtype)
         else:
             if hasattr(obs, "mueller_hwp"):
-                if any(m is not None for m in obs.mueller_hwp):  # type: ignore[not-iterable]
+                if any(m is not None for m in obs.mueller_hwp):
                     raise AssertionError(
                         "Detectors have been initialized with a mueller_hwp, "
                         "but no HWP is either passed or initialized in the pointing."
diff --git a/pyproject.toml b/pyproject.toml
index f20f7deb..1bdb6b34 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -30,23 +30,22 @@ authors = [
 ]
 readme = "README.md"
 license = {text = "GPL-3.0"}
-requires-python = ">=3.10,<3.14"
+requires-python = ">=3.10,<3.15"
 dependencies = [
-    "numba>=0.63.0",
-    "numpy>=1.26.4",
+    "numba>=0.65.0",
+    "numpy>=2.2.6",
     "astropy>=6.1.7",
     "tomlkit>=0.12.1",
     "jinja2>=3.1",
-    "matplotlib>=3.10.3",
+    "matplotlib>=3.10.8",
     "healpy>=1.18.1",
     "pyyaml>=6.0",
     "jplephem>=2.22",
     "requests>=2.32.0",
     "rich>=14.0.0",
-    "ducc0>=0.40.0",
-    "pysm3>=3.4.2",
+    "ducc0>=0.41.0",
+    "pysm3>=3.4.4",
     "h5py>=3.9",
-    "deprecation>=2.1.0",
     "deprecated>=1.2.18",
     "scipy>=1.14.0",
     "libinsdb>=0.9.0",
@@ -72,7 +71,7 @@ dev = [
     "ruff>=0.11.11",
     "pytest>=8.4.1",
     "pytest-cov>=7.0.0",
-    "ty>=0.0.9",
+    "ty==0.0.13",
 ]
 
 [tool.setuptools.package-data]
diff --git a/test/test_binner.py b/test/test_binner.py
index ae4a148f..c6833855 100644
--- a/test/test_binner.py
+++ b/test/test_binner.py
@@ -54,7 +54,11 @@ def test_accumulate_map_and_info():
     assert np.allclose(res_info, info)
 
     rhs = mapping._extract_map_and_fill_info(info)
-    assert np.allclose(np.linalg.solve(info, rhs), res_map)
+    # Starting from NumPy 2, we must reshape `rhs`
+    # so that it matches the shape of the `info` tensor.
+    # Plus, we add `.squeeze(1)` to remove the (new)
+    # dimension at the end of the result
+    assert np.allclose(np.linalg.solve(info, rhs[..., np.newaxis]).squeeze(-1), res_map)
 
 
 def test_make_binned_map_api_simulation(tmp_path):
diff --git a/test/test_coordinates.py b/test/test_coordinates.py
index b827e6e5..80ffa47f 100644
--- a/test/test_coordinates.py
+++ b/test/test_coordinates.py
@@ -1,8 +1,9 @@
 # -*- encoding: utf-8 -*-
 
-import litebird_sim as lbs
 import numpy as np
-import healpy as hp
+
+import litebird_sim as lbs
+from utils import astropy_ecl_to_gal
 
 
 def test_coordinates():
@@ -47,26 +48,21 @@ def test_coordinates():
 
     pointings, _ = obs.get_pointings(0, pointings_dtype=np.float64)
 
-    r = hp.Rotator(coord=["E", "G"])
-
-    pointings_gal_hp = np.empty_like(pointings)
-
-    pointings_gal_hp[:, 0:2] = r(pointings[:, 0], pointings[:, 1]).T
-    pointings_gal_hp[:, 2] = pointings[:, 2] + r.angle_ref(
-        pointings[:, 0], pointings[:, 1]
+    pointings_gal_ref = astropy_ecl_to_gal(
+        pointings[:, 0],
+        pointings[:, 1],
+        pointings[:, 2],
     )
 
     pointings_gal_lbs = lbs.coordinates.rotate_coordinates_e2g(pointings)
 
     # Calculate the raw difference
-    diff = pointings_gal_hp - pointings_gal_lbs
+    diff = pointings_gal_ref - pointings_gal_lbs
 
     # Normalize the angular difference to handle periodicity (wrap-around).
     # This maps any difference 'd' to the range [-pi, pi].
     # Example: If the difference is ~2pi (e.g., 0.0 vs 6.28), the result becomes ~0.0.
     angular_diff = np.arctan2(np.sin(diff), np.cos(diff))
 
-    print("\nMax angular error (wrapped):", np.max(np.abs(angular_diff)))
-
     # Verify that the angular distance is effectively zero
     np.testing.assert_allclose(angular_diff, 0.0, rtol=1e-6, atol=1e-6)
diff --git a/test/test_gaindrifts.py b/test/test_gaindrifts.py
index 4eaae8c1..26e8997a 100644
--- a/test/test_gaindrifts.py
+++ b/test/test_gaindrifts.py
@@ -1,7 +1,8 @@
 import numpy as np
-import litebird_sim as lbs
 from astropy.time import Time
 
+import litebird_sim as lbs
+
 
 def get_RNG_hierarchy(seed, num_of_dets):
     rng_hierarchy = lbs.RNGHierarchy(
@@ -61,10 +62,12 @@ def test_wrappers_linear_gain_drift(self, tmp_path):
             num_of_obs_per_detector=1,
         )
 
-        sim1.observations[0].gain_2_self = np.ones_like(sim1.observations[0].tod)
-        sim1.observations[0].gain_2_obs = np.ones_like(sim1.observations[0].tod)
-        sim1.observations[0].gain_2_tod = np.ones_like(sim1.observations[0].tod)
-        sim1.observations[0].gain_2_det = np.ones_like(sim1.observations[0].tod)
+        sim1_obs = sim1.observations[0]
+
+        sim1_obs.gain_2_self = np.ones_like(sim1_obs.tod)
+        sim1_obs.gain_2_obs = np.ones_like(sim1_obs.tod)
+        sim1_obs.gain_2_tod = np.ones_like(sim1_obs.tod)
+        sim1_obs.gain_2_det = np.ones_like(sim1_obs.tod)
 
         # Applying gain drift using four different functions
         sim1.apply_gaindrift(
@@ -82,14 +85,14 @@ def test_wrappers_linear_gain_drift(self, tmp_path):
 
         dets_random = get_dets_random(random_seed, len(self.dets))
         lbs.apply_gaindrift_to_tod(
-            tod=sim1.observations[0].gain_2_tod,
+            tod=sim1_obs.gain_2_tod,
             sampling_freq_hz=self.sampling_freq_Hz,
             drift_params=self.drift_params,
             dets_random=dets_random,
         )
 
         dets_random = get_dets_random(random_seed, len(self.dets))
-        for idx, tod in enumerate(sim1.observations[0].gain_2_det):
+        for idx, tod in enumerate(sim1_obs.gain_2_det):
             lbs.apply_gaindrift_for_one_detector(
                 det_tod=tod,
                 sampling_freq_hz=self.sampling_freq_Hz,
@@ -97,16 +100,13 @@ def test_wrappers_linear_gain_drift(self, tmp_path):
                 random=dets_random[idx],
             )
 
-        # Testing if the four gain drift tods are same
-        np.testing.assert_array_equal(
-            sim1.observations[0].gain_2_self, sim1.observations[0].gain_2_obs
-        )
-        np.testing.assert_array_equal(
-            sim1.observations[0].gain_2_self, sim1.observations[0].gain_2_tod
-        )
-        np.testing.assert_array_equal(
-            sim1.observations[0].gain_2_self, sim1.observations[0].gain_2_det
-        )
+        # We use `assert np.allclose()` instead of
+        # `np.testing.assert_array_equal` because the latter
+        # does not work reliably with Python 3.14 and NumPy 2.
+        assert np.allclose(sim1_obs.gain_2_self, sim1_obs.gain_2_obs)
+        assert np.allclose(sim1_obs.gain_2_self, sim1_obs.gain_2_obs)
+        assert np.allclose(sim1_obs.gain_2_self, sim1_obs.gain_2_tod)
+        assert np.allclose(sim1_obs.gain_2_self, sim1_obs.gain_2_det)
 
         sim1.flush()
 
@@ -129,10 +129,12 @@ def test_wrapper_thermal_gain_drift(self, tmp_path):
             num_of_obs_per_detector=1,
         )
 
-        sim1.observations[0].gain_2_self = np.ones_like(sim1.observations[0].tod)
-        sim1.observations[0].gain_2_obs = np.ones_like(sim1.observations[0].tod)
-        sim1.observations[0].gain_2_tod = np.ones_like(sim1.observations[0].tod)
-        sim1.observations[0].gain_2_det = np.ones_like(sim1.observations[0].tod)
+        sim1_obs = sim1.observations[0]
+
+        sim1_obs.gain_2_self = np.ones_like(sim1_obs.tod)
+        sim1_obs.gain_2_obs = np.ones_like(sim1_obs.tod)
+        sim1_obs.gain_2_tod = np.ones_like(sim1_obs.tod)
+        sim1_obs.gain_2_det = np.ones_like(sim1_obs.tod)
 
         self.drift_params.drift_type = lbs.GainDriftType.THERMAL_GAIN
 
@@ -152,17 +154,15 @@ def test_wrapper_thermal_gain_drift(self, tmp_path):
 
         dets_random = get_dets_random(random_seed, len(self.dets))
         lbs.apply_gaindrift_to_tod(
-            tod=sim1.observations[0].gain_2_tod,
+            tod=sim1_obs.gain_2_tod,
             sampling_freq_hz=self.sampling_freq_Hz,
             drift_params=self.drift_params,
-            focalplane_attr=getattr(
-                sim1.observations[0], self.drift_params.focalplane_group
-            ),
+            focalplane_attr=getattr(sim1_obs, self.drift_params.focalplane_group),
             dets_random=dets_random,
         )
 
         dets_random = get_dets_random(random_seed, len(self.dets))
-        for idx, tod in enumerate(sim1.observations[0].gain_2_det):
+        for idx, tod in enumerate(sim1_obs.gain_2_det):
             lbs.apply_gaindrift_for_one_detector(
                 det_tod=tod,
                 sampling_freq_hz=self.sampling_freq_Hz,
@@ -171,16 +171,10 @@ def test_wrapper_thermal_gain_drift(self, tmp_path):
             )
 
         # Testing if the four gain drift tods are same
-        np.testing.assert_array_equal(
-            sim1.observations[0].gain_2_self, sim1.observations[0].gain_2_obs
-        )
-        np.testing.assert_array_equal(
-            sim1.observations[0].gain_2_self, sim1.observations[0].gain_2_tod
-        )
+        assert np.allclose(sim1_obs.gain_2_self, sim1_obs.gain_2_obs)
+        assert np.allclose(sim1_obs.gain_2_self, sim1_obs.gain_2_tod)
         if False:  # This is expected to fail as it does not reproduce what happens in `Simulation`
-            np.testing.assert_array_equal(
-                sim1.observations[0].gain_2_self, sim1.observations[0].gain_2_det
-            )
+            assert np.allclose(sim1_obs.gain_2_self, sim1_obs.gain_2_det)
 
         sim1.flush()
 
@@ -224,11 +218,13 @@ def test_linear_gain_drift(tmp_path):
         num_of_obs_per_detector=1,
     )
 
+    sim1_obs = sim1.observations[0]
+
     # gain_wrapper stores the tod applied with the wrapper function and is
     # tested against gain_native where the gain is applied right within
     # this function
-    sim1.observations[0].gain_wrapper = np.ones_like(sim1.observations[0].tod)
-    sim1.observations[0].gain_native = np.ones_like(sim1.observations[0].tod)
+    sim1_obs.gain_wrapper = np.ones_like(sim1_obs.tod)
+    sim1_obs.gain_native = np.ones_like(sim1_obs.tod)
 
     sim1.apply_gaindrift(
         drift_params=drift_params,
@@ -236,10 +232,10 @@ def test_linear_gain_drift(tmp_path):
         user_seed=987654321,
     )
 
-    tod_size = len(sim1.observations[0].gain_native[0])
+    tod_size = len(sim1_obs.gain_native[0])
 
     dets_random = get_dets_random(987654321, len(dets))
-    for idx, tod in enumerate(sim1.observations[0].gain_native):
+    for idx, tod in enumerate(sim1_obs.gain_native):
         rng = dets_random[idx]
 
         rand = rng.normal(
@@ -264,9 +260,7 @@ def test_linear_gain_drift(tmp_path):
         tod[div * gain_arr_size :] *= gain_arr[:mod]
 
     # Testing if the two tods are same
-    np.testing.assert_array_equal(
-        sim1.observations[0].gain_wrapper, sim1.observations[0].gain_native
-    )
+    assert np.allclose(sim1_obs.gain_wrapper, sim1_obs.gain_native)
 
     sim1.flush()
 
@@ -329,11 +323,13 @@ def test_thermal_gain_drift_with_mismatch(self, tmp_path):
             num_of_obs_per_detector=1,
         )
 
+        sim1_obs = sim1.observations[0]
+
         # gain_wrapper stores the tod applied with the wrapper function
         # and is tested against gain_native where the gain is applied right
         # within this function
-        sim1.observations[0].gain_wrapper = np.ones_like(sim1.observations[0].tod)
-        sim1.observations[0].gain_native = np.ones_like(sim1.observations[0].tod)
+        sim1_obs.gain_wrapper = np.ones_like(sim1_obs.tod)
+        sim1_obs.gain_native = np.ones_like(sim1_obs.tod)
 
         sim1.apply_gaindrift(
             drift_params=drift_params,
@@ -341,7 +337,7 @@ def test_thermal_gain_drift_with_mismatch(self, tmp_path):
             user_seed=987654321,
         )
         dets_random = get_dets_random(987654321, len(self.dets))
-        for idx, tod in enumerate(sim1.observations[0].gain_native):
+        for idx, tod in enumerate(sim1_obs.gain_native):
             rng = dets_random[idx]
 
             rand = rng.normal(loc=0.7, scale=0.5)
@@ -352,11 +348,8 @@ def test_thermal_gain_drift_with_mismatch(self, tmp_path):
             tod *= 1.0 + thermal_factor / drift_params.focalplane_Tbath_K
 
         for i in np.arange(len(self.dets)):
-            assert (
-                sim1.observations[0].gain_wrapper[i]
-                < sim1.observations[0].gain_native[i]
-            ).all(), (
-                f"The assertion is failed for detector {sim1.observations[0].name[i]}"
+            assert (sim1_obs.gain_wrapper[i] < sim1_obs.gain_native[i]).all(), (
+                f"The assertion is failed for detector {sim1_obs.name[i]}"
             )
 
         sim1.flush()
@@ -387,8 +380,10 @@ def test_thermal_gain_drift_no_mismatch(self, tmp_path):
             num_of_obs_per_detector=1,
         )
 
-        sim1.observations[0].gain_wrapper = np.ones_like(sim1.observations[0].tod)
-        sim1.observations[0].gain_native = np.ones_like(sim1.observations[0].tod)
+        sim1_obs = sim1.observations[0]
+
+        sim1_obs.gain_wrapper = np.ones_like(sim1_obs.tod)
+        sim1_obs.gain_native = np.ones_like(sim1_obs.tod)
 
         sim1.apply_gaindrift(
             drift_params=drift_params,
@@ -396,7 +391,7 @@ def test_thermal_gain_drift_no_mismatch(self, tmp_path):
             user_seed=987654321,
         )
         dets_random = get_dets_random(987654321, len(self.dets))
-        for idx, tod in enumerate(sim1.observations[0].gain_native):
+        for idx, tod in enumerate(sim1_obs.gain_native):
             rng = dets_random[idx]
 
             rand = rng.normal(loc=0.7, scale=0.5)
@@ -407,11 +402,8 @@ def test_thermal_gain_drift_no_mismatch(self, tmp_path):
             tod *= 1.0 + thermal_factor / drift_params.focalplane_Tbath_K
 
         for i in np.arange(len(self.dets)):
-            assert (
-                sim1.observations[0].gain_wrapper[i]
-                < sim1.observations[0].gain_native[i]
-            ).all(), (
-                f"The assertion is failed for detector {sim1.observations[0].name[i]}"
+            assert (sim1_obs.gain_wrapper[i] < sim1_obs.gain_native[i]).all(), (
+                f"The assertion is failed for detector {sim1_obs.name[i]}"
             )
 
         sim1.flush()
diff --git a/test/test_scan_map.py b/test/test_scan_map.py
index 5a1b820e..9977b024 100644
--- a/test/test_scan_map.py
+++ b/test/test_scan_map.py
@@ -7,6 +7,7 @@
 
 import litebird_sim as lbs
 from litebird_sim.maps_and_harmonics import HealpixMap
+from utils import astropy_ecl_to_gal_matrix
 
 
 def get_map_mask(pixels: npt.ArrayLike) -> npt.ArrayLike:
@@ -39,12 +40,10 @@ def test_scan_map_no_interpolation():
     time_span_s = 30 * 24 * 3600
     nside = 256
     sampling_hz = 1
-    net = 50.0
+    net = 5.0
     hwp_radpsec = 4.084_070_449_666_731
     tolerance = 1e-5
 
-    hpx = Healpix_Base(nside, "RING")
-
     npix = HealpixMap.nside_to_npix(nside)
 
     sim = lbs.Simulation(
@@ -87,84 +86,16 @@ def test_scan_map_no_interpolation():
     )
 
     np.random.seed(seed=123_456_789)
-    maps = np.random.normal(0, 1, (3, npix))
-
-    # This part tests the ecliptic coordinates
-    # Wraps numpy arrays into HealpixMap objects
-    map_ecl = HealpixMap(maps, coordinates=lbs.CoordinateSystem.Ecliptic)
-    in_map = {
-        "Boresight_detector_T": map_ecl,
-        "Boresight_detector_B": map_ecl,
-    }
-
-    (obs1,) = sim.create_observations(detectors=[detT, detB])
-    (obs2,) = sim.create_observations(detectors=[detT, detB])
+    map_pixels = np.random.normal(0, 1, (3, npix))
 
     hwp = lbs.IdealHWP(ang_speed_radpsec=hwp_radpsec)
 
-    lbs.prepare_pointings(
-        obs1,
-        instr,
-        spin2ecliptic_quats,
-        hwp=hwp,
-    )
-
-    pointings, hwp_angle = obs1.get_pointings("all")
-
-    # Removed input_map_in_galactic and interpolation (handled by HealpixMap object)
-    lbs.scan_map_in_observations(
-        observations=obs1,
-        maps=in_map,
-    )
-
-    out_map1 = lbs.make_binned_map(
-        nside=nside,
-        observations=obs1,
-        output_coordinate_system=lbs.CoordinateSystem.Ecliptic,
-    )
-
-    for idet in range(obs2.n_detectors):
-        pixind = hpx.ang2pix(pointings[idet, :, 0:2])
-        angle = 2 * pointings[idet, :, 2] - 2 * obs2.pol_angle_rad[idet] + 4 * hwp_angle
-        obs2.tod[idet, :] = (
-            maps[0, pixind]
-            + np.cos(angle) * maps[1, pixind]
-            + np.sin(angle) * maps[2, pixind]
-        )
-
-    out_map2 = lbs.make_binned_map(
-        nside=nside,
-        observations=obs2,
-        pointings=pointings,
-        hwp=hwp,
-        output_coordinate_system=lbs.CoordinateSystem.Ecliptic,
-    )
-
-    # Use helper to access values regardless of return type
-    out_vals1 = get_map_values(out_map1)
-    out_vals2 = get_map_values(out_map2)
-
-    mask1 = get_map_mask(out_vals1)
-    mask2 = get_map_mask(out_vals2)
-    np.testing.assert_array_equal(mask1, mask2)
-
-    np.testing.assert_allclose(
-        out_vals1[mask1],
-        in_map["Boresight_detector_T"].values[mask1],
-        rtol=tolerance,
-        atol=0.1,
-    )
-
-    np.testing.assert_allclose(
-        out_vals1[mask1], out_vals2[mask2], rtol=tolerance, atol=0.1
-    )
-
     # This part tests the galactic coordinates
-    r = hp.Rotator(coord=["E", "G"])
-    maps_gal = r.rotate_map_alms(maps, use_pixel_weights=False)
+    r = hp.Rotator(rot=astropy_ecl_to_gal_matrix())
+    maps_gal = r.rotate_map_alms(map_pixels, use_pixel_weights=False)
 
     map_gal = HealpixMap(maps_gal, coordinates=lbs.CoordinateSystem.Galactic)
-    in_map_G = {
+    input_map_dict = {
         "Boresight_detector_T": map_gal,
         "Boresight_detector_B": map_gal,
     }
@@ -181,16 +112,16 @@ def test_scan_map_no_interpolation():
     # Removed input_map_in_galactic (handled by map_gal.coordinates)
     lbs.scan_map_in_observations(
         observations=obs1,
-        maps=in_map_G,
+        maps=input_map_dict,
     )
 
     out_map1 = lbs.make_binned_map(nside=nside, observations=obs1)
     out_vals1 = get_map_values(out_map1)
     mask1 = get_map_mask(out_vals1)
 
-    np.testing.assert_allclose(
+    assert np.allclose(
         out_vals1[mask1],
-        in_map_G["Boresight_detector_T"].values[mask1],
+        input_map_dict["Boresight_detector_T"].values[mask1],
         rtol=tolerance,
         atol=0.1,
     )
@@ -481,7 +412,7 @@ def test_scan_map_algebras():
             + np.sin(angle) * maps[2, pixind]
         )
 
-    np.testing.assert_allclose(
+    assert np.allclose(
         obs.tod,
         tod,
         rtol=tolerance,
@@ -510,7 +441,7 @@ def test_scan_map_algebras():
             + np.sin(angle) * maps[2, pixind]
         )
 
-    np.testing.assert_allclose(
+    assert np.allclose(
         obs.tod,
         tod,
         rtol=tolerance,
@@ -539,7 +470,7 @@ def test_scan_map_algebras():
             + np.sin(angle) * maps[2, pixind]
         )
 
-    np.testing.assert_allclose(
+    assert np.allclose(
         obs.tod,
         tod,
         rtol=tolerance,
@@ -569,7 +500,7 @@ def test_scan_map_algebras():
             + np.sin(angle) * maps[2, pixind]
         )
 
-    np.testing.assert_allclose(
+    assert np.allclose(
         obs.tod,
         tod,
         rtol=tolerance,
diff --git a/test/utils.py b/test/utils.py
new file mode 100644
index 00000000..2d814afc
--- /dev/null
+++ b/test/utils.py
@@ -0,0 +1,59 @@
+# -*- encoding: utf-8 -*-
+
+import numpy as np
+from astropy import units as u
+from astropy.coordinates import (
+    SkyCoord,
+    BarycentricMeanEcliptic,
+    Galactic,
+    CartesianRepresentation,
+)
+
+
+def astropy_ecl_to_gal(
+    theta: np.ndarray, phi: np.ndarray, psi: np.ndarray
+) -> np.ndarray:
+    """Convert coordinates from Ecliptic to Galactic using AstroPy"""
+
+    coords_ecl = SkyCoord(
+        lon=phi * u.rad,
+        lat=(np.pi / 2 - theta) * u.rad,
+        frame=BarycentricMeanEcliptic(),
+    )
+    coords_gal = coords_ecl.transform_to(Galactic())
+
+    gal_north = SkyCoord(
+        l=0 * u.deg,
+        b=90 * u.deg,
+        frame=Galactic(),
+    )
+    delta_psi = coords_ecl.position_angle(gal_north)
+
+    return np.stack(
+        [
+            np.pi / 2 - coords_gal.b.rad,
+            coords_gal.l.rad,
+            psi + delta_psi.rad,
+        ],
+        axis=-1,
+    )
+
+
+def astropy_ecl_to_gal_matrix():
+    """
+    Computes the 3x3 rotation matrix from Barycentric Mean Ecliptic (J2000)
+    to Galactic coordinates using AstroPy's high-precision frames.
+    """
+
+    # Create the identity matrix representing the Ecliptic axes (X, Y, Z)
+    identity_axes = CartesianRepresentation(np.eye(3))
+
+    # Wrap them in the Ecliptic frame
+    c_ecl = SkyCoord(identity_axes, frame=BarycentricMeanEcliptic())
+
+    # Transform these axes to the Galactic frame
+    c_gal = c_ecl.transform_to(Galactic())
+
+    # The resulting cartesian coordinates form the rotation matrix.
+    # We transpose to match Healpy's 'passive' rotation expectation.
+    return c_gal.cartesian.xyz.value.T
diff --git a/uv.lock b/uv.lock
index e85a8dfe..f199a073 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,6 +1,6 @@
 version = 1
 revision = 3
-requires-python = ">=3.10, <3.14"
+requires-python = ">=3.10, <3.15"
 resolution-markers = [
     "python_full_version >= '3.12'",
     "python_full_version == '3.11.*'",
@@ -47,12 +47,15 @@ wheels = [
 name = "astropy"
 version = "6.1.7"
 source = { registry = "https://pypi.org/simple" }
+resolution-markers = [
+    "python_full_version < '3.11'",
+]
 dependencies = [
-    { name = "astropy-iers-data" },
-    { name = "numpy" },
-    { name = "packaging" },
-    { name = "pyerfa" },
-    { name = "pyyaml" },
+    { name = "astropy-iers-data", marker = "python_full_version < '3.11'" },
+    { name = "numpy", marker = "python_full_version < '3.11'" },
+    { name = "packaging", marker = "python_full_version < '3.11'" },
+    { name = "pyerfa", marker = "python_full_version < '3.11'" },
+    { name = "pyyaml", marker = "python_full_version < '3.11'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/8a/f8/9c6675ab4c646b95aae2762d108f6be4504033d91bd50da21daa62cab5ce/astropy-6.1.7.tar.gz", hash = "sha256:a405ac186306b6cb152e6df2f7444ab8bd764e4127d7519da1b3ae4dd65357ef", size = 7063411, upload-time = "2024-11-22T21:22:34.373Z" }
 wheels = [
@@ -86,22 +89,49 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/a1/da/f369561a67061dd42e13c7f758b393ae90319dbbcf7e301a18ce3fa43ec6/astropy-6.1.7-cp313-cp313-win_amd64.whl", hash = "sha256:af08cf2b0368f1ea585eb26a55d99a2de9e9b0bd30aba84b5329059c3ec33590", size = 6393207, upload-time = "2024-11-22T21:22:31.797Z" },
 ]
 
+[[package]]
+name = "astropy"
+version = "7.2.0"
+source = { registry = "https://pypi.org/simple" }
+resolution-markers = [
+    "python_full_version >= '3.12'",
+    "python_full_version == '3.11.*'",
+]
+dependencies = [
+    { name = "astropy-iers-data", marker = "python_full_version >= '3.11'" },
+    { name = "numpy", marker = "python_full_version >= '3.11'" },
+    { name = "packaging", marker = "python_full_version >= '3.11'" },
+    { name = "pyerfa", marker = "python_full_version >= '3.11'" },
+    { name = "pyyaml", marker = "python_full_version >= '3.11'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/7b/92/2dce2d48347efc3346d08ca7995b152d242ebd170c571f7c9346468d8427/astropy-7.2.0.tar.gz", hash = "sha256:ae48bc26b1feaeb603cd94bd1fa1aa39137a115fe931b7f13787ab420e8c3070", size = 7057774, upload-time = "2025-11-25T22:36:41.916Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/b4/6d/6330a844bad8dfc4875e0f2fa1db1fee87837ba9805aa8a8d048c071363a/astropy-7.2.0-cp311-abi3-macosx_10_9_x86_64.whl", hash = "sha256:efac04df4cc488efe630c2fff1992d6516dfb16a06e197fb68bc9e8e3b85def1", size = 6442332, upload-time = "2025-11-25T22:36:23.6Z" },
+    { url = "https://files.pythonhosted.org/packages/a6/ba/3418133ba144dfcd1530bca5a6b695f4cdd21a8abaaa2ac4e5450d11b028/astropy-7.2.0-cp311-abi3-macosx_11_0_arm64.whl", hash = "sha256:52e9a7d9c86b21f1af911a2930cd0c4a275fb302d455c89e11eedaffef6f2ad0", size = 6413656, upload-time = "2025-11-25T22:36:26.548Z" },
+    { url = "https://files.pythonhosted.org/packages/be/ba/05e43b5a7d738316a097fa78524d3eaaff5986294b4a052d4adb3c45e7c0/astropy-7.2.0-cp311-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:97c370421b9bb13d4c762c7af06d172bad7c01bd5bcf88314f6913c3c235b770", size = 9758867, upload-time = "2025-11-25T22:36:28.661Z" },
+    { url = "https://files.pythonhosted.org/packages/c3/1c/f06ad85180e7dd9855aa5ede901bfc2be858d7bee17d4e978a14c0ecec14/astropy-7.2.0-cp311-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:2f39ce2c80211fbceb005d377a5478cd0d66c42aa1498d252f2239fe5a025c24", size = 9789007, upload-time = "2025-11-25T22:36:31.063Z" },
+    { url = "https://files.pythonhosted.org/packages/f8/fb/e4d35194a5009d7a73333079481a4ef1380a255d67b9c1db578151a5fb50/astropy-7.2.0-cp311-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:ad4d71db994d45f046a1a5449000cf0f88ab6367cb67658500654a0586d6ab19", size = 9748547, upload-time = "2025-11-25T22:36:33.154Z" },
+    { url = "https://files.pythonhosted.org/packages/36/ea/f990730978ae0a7a34705f885d2f3806928c5f0bc22eefd6a1a23539cc32/astropy-7.2.0-cp311-abi3-win32.whl", hash = "sha256:95161f26602433176483e8bde8ab1a8ca09148f5b4bf5190569a26d381091598", size = 6237228, upload-time = "2025-11-25T22:36:35.236Z" },
+    { url = "https://files.pythonhosted.org/packages/ec/bc/f4378f586dd63902c37d16f68f35f7d555b3b32e08ac6b1d633eb0a48805/astropy-7.2.0-cp311-abi3-win_amd64.whl", hash = "sha256:dc7c340ba1713e55c93071b32033f3153470a0f663a4d539c03a7c9b44020790", size = 6362868, upload-time = "2025-11-25T22:36:37.784Z" },
+    { url = "https://files.pythonhosted.org/packages/77/79/b6d4bf01913cfd4ce0cd4c1be5916beccdb92b2970bab8c827984231eae6/astropy-7.2.0-cp311-abi3-win_arm64.whl", hash = "sha256:0c428735a3f15b05c2095bc6ccb5f98a64bc99fb7015866af19ff8492420ddaf", size = 6221756, upload-time = "2025-11-25T22:36:39.852Z" },
+]
+
 [[package]]
 name = "astropy-iers-data"
-version = "0.2026.1.19.0.42.31"
+version = "0.2026.4.13.0.58.2"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/91/37/17585f424e7672e849d1a860ea7196832bb686fe82f45f29a67dc27a5954/astropy_iers_data-0.2026.1.19.0.42.31.tar.gz", hash = "sha256:e389150579ce84da5f73ca47261ca5fed8e42652f28d6b034b6e9752a0b46e60", size = 1920366, upload-time = "2026-01-19T00:43:17.415Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/51/4a/5ebf17e2a2bf82747641c66babce54295239f10b315bdb36d076429fd048/astropy_iers_data-0.2026.4.13.0.58.2.tar.gz", hash = "sha256:a079f31cd3e235afd9b9d435be53fc69ae619aef93339c54863767c3c76e4807", size = 1930728, upload-time = "2026-04-13T00:58:40.001Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/06/bc/9fc60c786e9ecb706bf0fbfb1aed2e3a46d9d4695a7a3d8b6f6831aaf73f/astropy_iers_data-0.2026.1.19.0.42.31-py3-none-any.whl", hash = "sha256:7ce1574a098cb3d2e1b4f48f5ed25570b37bb591ff931edd48e3393138109186", size = 1976745, upload-time = "2026-01-19T00:43:16.12Z" },
+    { url = "https://files.pythonhosted.org/packages/4d/c7/da797a2ae6a64c27553871ff2c3bf64343970efce730b3247e6bd2c00994/astropy_iers_data-0.2026.4.13.0.58.2-py3-none-any.whl", hash = "sha256:f93d788bda4b0b20dfc7672719699178c106ddd15e2048069a6f74ee7cf2a7ef", size = 1987515, upload-time = "2026-04-13T00:58:38.753Z" },
 ]
 
 [[package]]
 name = "babel"
-version = "2.17.0"
+version = "2.18.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/7d/6b/d52e42361e1aa00709585ecc30b3f9684b3ab62530771402248b1b1d6240/babel-2.17.0.tar.gz", hash = "sha256:0c54cffb19f690cdcc52a3b50bcbf71e07a808d1c80d549f2459b9d2cf0afb9d", size = 9951852, upload-time = "2025-02-01T15:17:41.026Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/7d/b2/51899539b6ceeeb420d40ed3cd4b7a40519404f9baf3d4ac99dc413a834b/babel-2.18.0.tar.gz", hash = "sha256:b80b99a14bd085fcacfa15c9165f651fbb3406e66cc603abf11c5750937c992d", size = 9959554, upload-time = "2026-02-01T12:30:56.078Z" }
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