diff --git a/imap_processing/cdf/config/imap_idex_l1b_variable_attrs.yaml b/imap_processing/cdf/config/imap_idex_l1b_variable_attrs.yaml
index e65b69da0..d6fe824e3 100644
--- a/imap_processing/cdf/config/imap_idex_l1b_variable_attrs.yaml
+++ b/imap_processing/cdf/config/imap_idex_l1b_variable_attrs.yaml
@@ -6,6 +6,8 @@ data_max: &data_max 4095
 spice_data_min: &spice_data_min -2.0e7
 spice_data_max: &spice_data_max 2.0e7
 
+dead_max: &dead_max 4.065248492307693
+
 # <=== Base Attributes ===>
 string_base_attrs: &string_base
   CATDESC: " "
@@ -392,6 +394,20 @@ current_neg2p5v_bus:
   LABLAXIS: Current
   UNITS: A
 
+# <=== Dead Time Attributes ===>
+dead_time:
+  <<: *l1b_data_base
+  CATDESC: Event dead time
+  VALIDMIN: *data_min
+  VALIDMAX: *dead_max
+  DEPEND_0: epoch
+  FORMAT: F12.6
+  UNITS: s
+  VAR_TYPE: data
+  FIELDNAM: event_dead_time
+  FILLVAL: *double_fillval
+  LABLAXIS: event_dead_time
+
 # <=== Spice Data Attributes ===>
 ephemeris_position_x:
   <<: *spice_base
diff --git a/imap_processing/idex/idex_constants.py b/imap_processing/idex/idex_constants.py
index 176971aea..67550d687 100644
--- a/imap_processing/idex/idex_constants.py
+++ b/imap_processing/idex/idex_constants.py
@@ -46,6 +46,11 @@ class IdexConstants:
 # Microseconds to seconds conversion
 US_TO_S = 1e-6
 
+# Low-rate timing constants
+LOW_SAMPLE_RATE_HZ: float = 4.0625e6
+SAMPLES_PER_BLOCK: int = 8
+DT_BLOCK: float = SAMPLES_PER_BLOCK / LOW_SAMPLE_RATE_HZ
+
 # Seconds in a day
 SECONDS_IN_DAY = 86400
 # Nanoseconds in day
diff --git a/imap_processing/idex/idex_l1b.py b/imap_processing/idex/idex_l1b.py
index 2b71a570a..dbbcd79c0 100644
--- a/imap_processing/idex/idex_l1b.py
+++ b/imap_processing/idex/idex_l1b.py
@@ -28,6 +28,7 @@
 from imap_processing.idex.idex_constants import (
     IDEX_EVENT_REFERENCE_FRAME,
     ConversionFactors,
+    DT_BLOCK,
 )
 from imap_processing.idex.idex_utils import get_idex_attrs, setup_dataset
 from imap_processing.spice.geometry import (
@@ -245,6 +246,8 @@ def idex_l1b_science(l1a_dataset: xr.Dataset) -> xr.Dataset:
         l1a_dataset, var_information_df, idex_attrs
     )
 
+    dead_time = get_event_dead_time(l1a_dataset, idex_attrs)
+
     waveforms_converted = convert_waveforms(l1a_dataset, idex_attrs)
 
     # Get spice data and save them as xr.DataArrays in the output. Spice data is not
@@ -259,6 +262,7 @@ def idex_l1b_science(l1a_dataset: xr.Dataset) -> xr.Dataset:
     prefixes = ["shcoarse", "shfine", "time_high_sample", "time_low_sample", "aid"]
     data_vars = (
         processed_vars
+        | dead_time
         | waveforms_converted
         | trigger_settings
         | spice_data
@@ -498,6 +502,60 @@ def get_trigger_origin(
     }
 
 
+def get_event_dead_time(
+    l1a_dataset: xr.Dataset,
+    idex_attrs: ImapCdfAttributes,
+) -> dict[str, xr.DataArray]:
+    """
+    Compute event dead time (in seconds) from packed txhdrblocks.
+
+    The dead time is encoded via two bitfields:
+    - dead_blocks_base  (6 bits)
+    - dead_blocks_shift (4 bits)
+
+    Dead time is computed as:
+        dead_time = dead_blocks_base * 2**dead_blocks_shift * DT_BLOCK
+
+    where DT_BLOCK is the duration of a single low-rate block.
+
+    Parameters
+    ----------
+    l1a_dataset : xarray.Dataset
+        IDEX L1A dataset containing the packed `idx__txhdrblocks` variable.
+    idex_attrs : ImapCdfAttributes
+        CDF attribute manager object.
+
+    Returns
+    -------
+    dict[str, xarray.DataArray]
+        Dictionary containing the `dead_time` DataArray (seconds).
+    """
+    txhdrblocks = l1a_dataset["idx__txhdrblocks"].data
+
+    # Extract bitfields
+    dead_blocks_shift = (txhdrblocks >> 20) & 0b1111
+    dead_blocks_base = (txhdrblocks >> 24) & 0b111111
+
+    print(f"txhdrblocks = {l1a_dataset['idx__txhdrblocks']}, Dead shift = {dead_blocks_shift}, dead base = {dead_blocks_base}")
+
+    # Convert to float once
+    base = dead_blocks_base.astype(np.float64)
+    shift = dead_blocks_shift.astype(np.float64)
+
+    # Compute dead time
+    dead_time_array: NDArray[np.float64] = (
+        base * np.power(2.0, shift) * DT_BLOCK
+    )
+
+    return {
+        "dead_time": xr.DataArray(
+            name="dead_time",
+            data=dead_time_array,
+            dims="epoch",
+            attrs=idex_attrs.get_variable_attributes("dead_time"),
+        )
+    }
+
 def get_spice_data(
     l1a_dataset: xr.Dataset, idex_attrs: ImapCdfAttributes
 ) -> dict[str, xr.DataArray]: