diff --git a/notebooks/TrajectoryExplorer.ipynb b/notebooks/TrajectoryExplorer.ipynb
index 98ec62866..68dd72c91 100644
--- a/notebooks/TrajectoryExplorer.ipynb
+++ b/notebooks/TrajectoryExplorer.ipynb
@@ -160,6 +160,45 @@
     "            axs[i, j].imshow(result.all_stamps[ind], cmap=\"gray\")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Using (RA, dec)\n",
+    "\n",
+    "You can also use the `TrajectoryExplorer` with a WCS and (RA, dec) coordinates. Both RA and dec are specified in degrees and the corresponding velocities are expressed as degrees per day.\n",
+    "\n",
+    "We start by creating a fake WCS to match our fake images. Then we evaluate the trajectory based on this WCS."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from astropy.wcs import WCS\n",
+    "\n",
+    "my_wcs = WCS(naxis=2)\n",
+    "my_wcs.wcs.crpix = [201.0, 251.0]  # Reference point on the image (center of the image 1-indexed)\n",
+    "my_wcs.wcs.crval = [45.0, -15.0]  # Reference pointing on the sky\n",
+    "my_wcs.wcs.cdelt = [0.1, 0.1]  # Pixel step size\n",
+    "my_wcs.wcs.ctype = [\"RA---TAN-SIP\", \"DEC--TAN-SIP\"]\n",
+    "\n",
+    "# Use the WCS to compute the angular coordinates of the inserted object at two times.\n",
+    "sky_pos0 = my_wcs.pixel_to_world(50, 60)\n",
+    "sky_pos1 = my_wcs.pixel_to_world(55, 58)\n",
+    "\n",
+    "ra0 = sky_pos0.ra.deg\n",
+    "dec0 = sky_pos0.dec.deg\n",
+    "v_ra = sky_pos1.ra.deg - ra0\n",
+    "v_dec = sky_pos1.dec.deg - dec0\n",
+    "print(f\"Object starts at ({ra0}, {dec0}) with velocity ({v_ra}, {v_dec}).\")\n",
+    "\n",
+    "result = explorer.evaluate_angle_trajectory(ra0, dec0, v_ra, v_dec, my_wcs)\n",
+    "print(result.trajectory)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -178,13 +217,20 @@
     "explorer.apply_sigma_g(result)\n",
     "print(f\"Valid time steps={result.valid_indices}\")"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python (.conda-kbmod)",
+   "display_name": "Jeremy's KBMOD",
    "language": "python",
-   "name": "conda-env-.conda-kbmod-py"
+   "name": "kbmod_jk"
   },
   "language_info": {
    "codemirror_mode": {
@@ -196,7 +242,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.1"
+   "version": "3.12.2"
   }
  },
  "nbformat": 4,
diff --git a/src/kbmod/trajectory_explorer.py b/src/kbmod/trajectory_explorer.py
index b50e281a7..512126e94 100644
--- a/src/kbmod/trajectory_explorer.py
+++ b/src/kbmod/trajectory_explorer.py
@@ -5,6 +5,7 @@
 from kbmod.masking import apply_mask_operations
 from kbmod.result_list import ResultRow
 from kbmod.search import StackSearch, StampCreator, Logging
+from kbmod.trajectory_utils import make_trajectory_from_ra_dec
 
 
 logger = Logging.getLogger(__name__)
@@ -104,6 +105,31 @@ def evaluate_linear_trajectory(self, x, y, vx, vy):
 
         return result
 
+    def evaluate_angle_trajectory(self, ra, dec, v_ra, v_dec, wcs):
+        """Evaluate a single linear trajectory in angle space. Skips all the filtering
+        steps and returns the raw data.
+
+        Parameters
+        ----------
+        ra : `float`
+            The right ascension at time t0 (in degrees)
+        dec : `float`
+            The declination at time t0 (in degrees)
+        v_ra : `float`
+            The velocity in RA at t0 (in degrees/day)
+        v_dec : `float`
+            The velocity in declination at t0 (in degrees/day)
+        wcs : `astropy.wcs.WCS`
+            The WCS for the images.
+
+        Returns
+        -------
+        result : `ResultRow`
+            The result data with all fields filled out.
+        """
+        trj = make_trajectory_from_ra_dec(ra, dec, v_ra, v_dec, wcs)
+        return self.evaluate_linear_trajectory(trj.x, trj.y, trj.vx, trj.vy)
+
     def apply_sigma_g(self, result):
         """Apply sigma G clipping to a single ResultRow. Modifies the row in-place.
 
diff --git a/src/kbmod/trajectory_utils.py b/src/kbmod/trajectory_utils.py
index 0caa6a557..2604f2567 100644
--- a/src/kbmod/trajectory_utils.py
+++ b/src/kbmod/trajectory_utils.py
@@ -13,6 +13,7 @@
 
 import numpy as np
 
+from astropy.coordinates import SkyCoord
 from astropy.wcs import WCS
 from yaml import dump, safe_load
 
@@ -56,6 +57,37 @@ def make_trajectory(x=0, y=0, vx=0.0, vy=0.0, flux=0.0, lh=0.0, obs_count=0):
     return trj
 
 
+def make_trajectory_from_ra_dec(ra, dec, v_ra, v_dec, wcs):
+    """Create a trajectory object from (RA, dec) information.
+
+    Parameters
+    ----------
+    ra : `float`
+        The right ascension at time t0 (in degrees)
+    dec : `float`
+        The declination at time t0 (in degrees)
+    v_ra : `float`
+        The velocity in RA at t0 (in degrees/day)
+    v_dec : `float`
+        The velocity in declination at t0 (in degrees/day)
+    wcs : `astropy.wcs.WCS`
+        The WCS for the images.
+
+    .. note::
+       The motion is approximated as linear and will be approximately correct
+       only for small temporal range and spatial region.
+
+    Returns
+    -------
+    trj : `Trajectory`
+        The resulting Trajectory object.
+    """
+    # Predict the pixel positions at t0 and t0 + 1
+    x0, y0 = wcs.world_to_pixel(SkyCoord(ra, dec, unit="deg"))
+    x1, y1 = wcs.world_to_pixel(SkyCoord(ra + v_ra, dec + v_dec, unit="deg"))
+    return make_trajectory(x=x0, y=y0, vx=(x1 - x0), vy=(y1 - y0))
+
+
 def trajectory_predict_skypos(trj, wcs, times):
     """Predict the (RA, dec) locations of the trajectory at different times.
 
diff --git a/tests/test_trajectory_utils.py b/tests/test_trajectory_utils.py
index 7933eb4ca..4dd75797d 100644
--- a/tests/test_trajectory_utils.py
+++ b/tests/test_trajectory_utils.py
@@ -17,6 +17,20 @@ def test_make_trajectory(self):
         self.assertEqual(trj.lh, 6.0)
         self.assertEqual(trj.obs_count, 7)
 
+    def test_predict_skypos(self):
+        # Create a fake WCS with a known pointing.
+        my_wcs = WCS(naxis=2)
+        my_wcs.wcs.crpix = [10.0, 10.0]  # Reference point on the image (1-indexed)
+        my_wcs.wcs.crval = [45.0, -15.0]  # Reference pointing on the sky
+        my_wcs.wcs.cdelt = [0.1, 0.1]  # Pixel step size
+        my_wcs.wcs.ctype = ["RA---TAN-SIP", "DEC--TAN-SIP"]
+
+        trj = make_trajectory_from_ra_dec(45.0, -15.0, 1.0, 0.5)
+        self.assertAlmostEqual(trj.x, 9.0)
+        self.assertAlmostEqual(trj.y, 9.0)
+        self.assertAlmostEqual(trj.vx, 9.9190138, delta=1e-6)
+        self.assertAlmostEqual(trj.vy, 4.97896903, delta=1e-6)
+
     def test_predict_skypos(self):
         # Create a fake WCS with a known pointing.
         my_wcs = WCS(naxis=2)