diff --git a/Makefile b/Makefile
index 544480e5..9ff41868 100644
--- a/Makefile
+++ b/Makefile
@@ -1,7 +1,7 @@
 # simple makefile to simplify repetetive build env management tasks under posix
 # caution: testing won't work on windows, see README
 PYTHON ?= python
-PYTESTS ?= py.test
+PYTESTS ?= pytest
 CTAGS ?= ctags
 CODESPELL_SKIPS ?= "*.html,*.fif,*.eve,*.gz,*.tgz,*.zip,*.mat,*.stc,*.label,*.w,*.bz2,*.annot,*.sulc,*.log,*.local-copy,*.orig_avg,*.inflated_avg,*.gii,*.pyc,*.doctree,*.pickle,*.inv,*.png,*.edf,*.touch,*.thickness,*.nofix,*.volume,*.defect_borders,*.mgh,lh.*,rh.*,COR-*,FreeSurferColorLUT.txt,*.examples,.xdebug_mris_calc,bad.segments,BadChannels,*.hist,empty_file,*.orig,*.js,*.map,*.ipynb,searchindex.dat"
 CODESPELL_DIRS ?= meegkit/ examples/
@@ -85,21 +85,21 @@ install-dev:
 
 # Tests
 # =============================================================================
-test: in
+test:
 	rm -f .coverage
-	$(PYTESTS) -m 'not ultraslowtest' meegkit
+	$(PYTESTS) -m 'not ultraslowtest'
 
-test-verbose: in
+test-verbose:
 	rm -f .coverage
-	$(PYTESTS) -m 'not ultraslowtest' meegkit --verbose
+	$(PYTESTS) -m 'not ultraslowtest' --verbose
 
-test-fast: in
+test-fast:
 	rm -f .coverage
-	$(PYTESTS) -m 'not slowtest' meegkit
+	$(PYTESTS) -m 'not slowtest'
 
-test-full: in
+test-full:
 	rm -f .coverage
-	$(PYTESTS) meegkit
+	$(PYTESTS)
 
 .PHONY: init test
 
diff --git a/meegkit/asr.py b/meegkit/asr.py
index 3f0acf8c..9124b1f1 100755
--- a/meegkit/asr.py
+++ b/meegkit/asr.py
@@ -541,7 +541,8 @@ def asr_calibrate(X, sfreq, cutoff=5, blocksize=100, win_len=0.5,
     sig = np.zeros(nc)
     for ichan in reversed(range(nc)):
         mu[ichan], sig[ichan], alpha, beta = fit_eeg_distribution(
-            rms[ichan], min_clean_fraction, max_dropout_fraction)
+            rms[ichan], min_clean_fraction, max_dropout_fraction,
+            step_sizes=[0.01, 0.01])
 
     T = np.dot(np.diag(mu + cutoff * sig), V.T)
     logging.debug("[ASR] Calibration done.")
diff --git a/meegkit/utils/asr.py b/meegkit/utils/asr.py
index ae2fe0ec..263af8e2 100755
--- a/meegkit/utils/asr.py
+++ b/meegkit/utils/asr.py
@@ -10,7 +10,7 @@
 
 
 def fit_eeg_distribution(X, min_clean_fraction=0.25, max_dropout_fraction=0.1,
-                         fit_quantiles=[0.022, 0.6], step_sizes=[0.0220, 0.6000],
+                         fit_quantiles=[0.022, 0.6], step_sizes=[0.01, 0.01],
                          shape_range=SHAPE_RANGE):
     """Estimate the mean and SD of clean EEG from contaminated data.
 
diff --git a/pyproject.toml b/pyproject.toml
index 616281e1..cfe8bf98 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -98,6 +98,7 @@ filterwarnings = [
 addopts = """
     --color=yes
     --durations 10
+    --noplots
     """
 
 [tool.coverage.run]
diff --git a/tests/test_asr.py b/tests/test_asr.py
index 44f38769..d17db8c1 100644
--- a/tests/test_asr.py
+++ b/tests/test_asr.py
@@ -418,6 +418,39 @@ def test_clean_windows_offset_phase_drift():
     assert abs(int(offsets_raw[-1]) - int(offsets_truncated[-1])) >= 10
 
 
+def test_fit_eeg_distribution_default_step_sizes():
+    """Default step_sizes matches the documented [0.01, 0.01].
+
+    The old default [0.022, 0.6] (copied from fit_quantiles) collapses the
+    grid search, so callers that omit step_sizes get a degenerate fit.
+    """
+    raw = np.load(os.path.join(THIS_FOLDER, "data", "eeg_raw.npy"))
+    sfreq = 250
+
+    # windowed-RMS vector for one channel, as asr_calibrate builds it
+    # internally (full recording so there are enough windows to matter)
+    N = int(np.round(0.5 * sfreq))
+    step = int(np.round(N * (1 - 0.66)))
+    x = raw[0]
+    offsets = np.arange(0, len(x) - N, step).astype(int)
+    csum = np.zeros(len(x) + 1)
+    np.cumsum(x ** 2, out=csum[1:])
+    rms = np.sqrt((csum[offsets + N] - csum[offsets]) / N)
+
+    mu_default, sig_default, _, _ = fit_eeg_distribution(rms)
+    mu_explicit, sig_explicit, _, _ = fit_eeg_distribution(
+        rms, step_sizes=[0.01, 0.01])
+
+    # default must match the documented [0.01, 0.01] grid
+    np.testing.assert_allclose(mu_default, mu_explicit, rtol=1e-9)
+    np.testing.assert_allclose(sig_default, sig_explicit, rtol=1e-9)
+
+    # the old [0.022, 0.6] default is degenerate -> materially different fit
+    mu_old, sig_old, _, _ = fit_eeg_distribution(rms, step_sizes=[0.022, 0.6])
+    assert not np.allclose(mu_old, mu_explicit, rtol=1e-9)
+    assert not np.allclose(sig_old, sig_explicit, rtol=1e-9)
+
+
 if __name__ == "__main__":
     pytest.main([__file__])
     # test_yulewalk(250, True)