diff --git a/src/stcal/ramp_fitting/utils.py b/src/stcal/ramp_fitting/utils.py
index f140593a..89515aad 100644
--- a/src/stcal/ramp_fitting/utils.py
+++ b/src/stcal/ramp_fitting/utils.py
@@ -520,7 +520,7 @@ def calc_slope_vars(ramp_data, rn_sect, gain_sect, gdq_sect, group_time, max_seg
     gdq_2d_nan[np.bitwise_and(gdq_2d, ramp_data.flags_saturated).astype(bool)] = np.nan
 
     # Get lengths of semiramps for all pix [number_of_semiramps, number_of_pix]
-    segs = np.zeros_like(gdq_2d).astype(np.int16)
+    segs = np.zeros_like(gdq_2d).astype(np.uint16)
 
     # Counter of semiramp for each pixel
     sr_index = np.zeros(npix, dtype=np.uint16)
diff --git a/tests/test_ramp_fitting.py b/tests/test_ramp_fitting.py
index a3260fd2..93674e09 100644
--- a/tests/test_ramp_fitting.py
+++ b/tests/test_ramp_fitting.py
@@ -27,22 +27,23 @@
 
 # -----------------------------------------------------------------------------
 #                           Test Suite
-def test_Poisson_variance():
+
+def test_long_integration():
     nints, nrows, ncols = 1, 1, 1
-    rnoise_val, gain_val = 1.0, 40.0
+    rnoise_val, gain_val = 0.1, 40.0
     nframes, gtime, ftime = 1, 3, 3
     tm = (nframes, gtime, ftime)
-    num_grps1 = 300
-    num_grps2 = 0
+    num_grps1 = 301
+    num_grps2 = 20
     ramp_data, rnoise_array, gain_array = create_test_2seg_obs(rnoise_val, nints, num_grps1, num_grps2, ncols,
                                                                nrows, tm, rate=0, Poisson=True, grptime=gtime,
                                                                gain=gain_val, bias=0)
-    ramp_data.data[0, 280:, 0, 0] = 300 * 3
+    ramp_data.data[0, 291:, 0, 0] = 320 * 3
     # Run ramp fit on RampData
     buffsize, save_opt, algo, wt, ncores = 512, True, "OLS", "optimal", "none"
     slopes, cube, optional, gls_dummy = ramp_fit_data(
     ramp_data, buffsize, save_opt, rnoise_array, gain_array, algo, wt, ncores, dqflags)
-    np.testing.assert_almost_equal(slopes[0], .9, 2)
+    np.testing.assert_almost_equal(slopes[0], .65, 2)
 
 
 def base_neg_med_rates_single_integration():