diff --git a/superxas_bec/scans/__init__.py b/superxas_bec/scans/__init__.py
index e69de29..95eb5ae 100644
--- a/superxas_bec/scans/__init__.py
+++ b/superxas_bec/scans/__init__.py
@@ -0,0 +1 @@
+from .exafs_scan import EXAFSScan
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diff --git a/superxas_bec/scans/exafs_scan.py b/superxas_bec/scans/exafs_scan.py
new file mode 100644
index 0000000..0ec7ca4
--- /dev/null
+++ b/superxas_bec/scans/exafs_scan.py
@@ -0,0 +1,120 @@
+from bec_lib.device import DeviceBase
+from bec_server.scan_server.scans import ScanBase
+from bec_lib.logger import bec_logger
+import time
+import numpy as np
+
+logger = bec_logger.logger 
+
+
+class EXAFSScan(ScanBase):
+    scan_name = "exafs_scan"
+
+    def __init__(
+            self,
+            edge_energy : float,
+            xas_rel_range : list[float] | np.ndarray[float] | None = None,
+            n_points : list[int] | np.ndarray[int] | None = None,
+            k_step : list[bool] | np.ndarray[bool] | None = None,
+            integ_time : list[float] | np.ndarray[float] | None = None,
+            motor: DeviceBase | None = None,
+            settling_time: float = 0.2,
+            **kwargs,
+    ):
+        """
+        EXAFS Scan of the mono_energy axix
+
+        Args:
+            edge_energy (float) : Adsorption Edge Energy
+            xas_rel_range (list[float] | np.ndarray[int] | None) : Optinoal, relative range for XAS, Length of list must n_points +1
+            n_points (list[int] | np.ndarray[bool] | None) : Optional, number of points per range
+            ...#TODO docstring
+        """
+        self.edge_energy = edge_energy
+        self.xas_rel_range = xas_rel_range
+        self.n_points = n_points
+        self.k_step = k_step
+        self.integ_time = integ_time
+        self.k_step_conversion = 3.81
+        self._check_and_upated_input_arguments()
+        if motor is None:
+            default_motor = "kb_slit_y"
+            motor = default_motor # TODO Remove that motor, put energy of mono
+        self.motor = motor
+        super().__init__(exp_time=0, relative=False, settling_time=settling_time, **kwargs)
+
+        # Check that trigger device is enabled
+        _dev_trigger_name = "trigger"
+        self._dev_trigger:DeviceBase = self.device_manager.devices.get(_dev_trigger_name, None)
+        if self._dev_trigger is None or self._dev_trigger.enabled == False:
+            raise ValueError(f"Trigger device not found or not enabled in devicemanager {self._dev_trigger}")
+        #update scan parameters
+        self.scan_parameters['edge_energy'] = self.edge_energy
+        self.scan_parameters['xas_rel_range'] = self.xas_rel_range
+        self.scan_parameters['n_points'] = self.n_points
+        self.scan_parameters['k_step'] = self.k_step
+        self.scan_parameters['integ_time'] = self.integ_time
+        #update readout_priority
+        self.readout_priority = {"monitored" : [self.motor]}
+
+    def update_scan_motors(self):
+        self.scan_motors = [self.motor]
+
+
+    def _check_and_upated_input_arguments(self) -> None:
+        """ 
+        If any of xas_rel_range, n_points, k_step or integ_time is None, 
+        this method will compute to a default behaviour for the value.
+        """
+
+        if not all(
+            [
+                len(self.n_points) == len(self.k_step), 
+                len(self.n_points) == len(self.integ_time),
+                len(self.n_points) == (len(self.xas_rel_range) - 1) ,# carefule -1
+            ]
+            ):
+            raise ValueError("Wrong length for bla") #TODO add better error handling
+        self.integ_time = np.repeat(np.array(self.integ_time), np.array(self.n_points))
+
+    def _set_position_offset(self):
+        """ Do not set offset"""
+        yield None
+        
+    def _calculate_positions(self):
+        positions = []
+        for ii, pnts in enumerate(self.n_points):
+            if self.k_step[ii] is False:
+                positions.extend(np.linspace(self.xas_rel_range[ii], self.xas_rel_range[ii+1], pnts, endpoint=False).tolist())
+            else:
+                k_start = np.sqrt(self.xas_rel_range[ii]/self.k_step_conversion)
+                k_stop = np.sqrt(self.xas_rel_range[ii+1]/self.k_step_conversion)
+                k_pos = np.linspace(k_start, k_stop, pnts, endpoint=False)
+                k_pos = k_pos**2 * self.k_step_conversion
+                positions.extend(k_pos.tolist())
+        
+        # Create positions array
+        self.positions =  np.vstack(positions)
+        # shift by edge energy
+        self.positions = self.positions + self.edge_energy
+        # Convert to keV
+        self.positions = self.positions/1e3
+        
+    def _at_each_point(self, ind=None, pos=None):
+        yield from self._move_scan_motors_and_wait(pos)
+        time.sleep(self.settling_time)
+        trigger_time = self.integ_time[ind]
+        self.stubs.send_rpc_and_wait(self._dev_trigger, "set_exposure_time", trigger_time)
+
+        # Trigger
+        yield from self.stubs.trigger(min_wait=trigger_time)
+
+        #Readout all monitored devices
+        yield from self.stubs.read(group="monitored", point_id=self.point_id)
+
+        #Increase point id
+        self.point_id += 1
+
+        
+    
+        
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