Merge branch 'master' into bayesian-wip

CHANGELOG-unreleased.md

@@ -18,6 +18,7 @@ the released changes.
 - `pint.output.publish` module and `pintpublish` script for generating publication (LaTeX) output.
 - Added radial velocity methods for binary models
 - Support for wideband data in `pint.bayesian` (no correlated noise).
+- Added `DMWaveX` model (Fourier representation of DM noise)
 ### Fixed
 - Wave model `validate()` can correctly use PEPOCH to assign WAVEEPOCH parameter
 - Fixed RTD by specifying theme explicitly.

src/pint/models/__init__.py

@@ -25,6 +25,7 @@
 from pint.models.binary_ddk import BinaryDDK
 from pint.models.binary_ell1 import BinaryELL1, BinaryELL1H, BinaryELL1k
 from pint.models.dispersion_model import DispersionDM, DispersionDMX
+from pint.models.dmwavex import DMWaveX
 from pint.models.frequency_dependent import FD
 from pint.models.glitch import Glitch
 from pint.models.phase_offset import PhaseOffset

src/pint/models/dispersion_model.py

@@ -101,7 +101,7 @@ def d_delay_d_dmparam(self, toas, param_name, acc_delay=None):
             bfreq = self._parent.barycentric_radio_freq(toas)
         except AttributeError:
             warn("Using topocentric frequency for dedispersion!")
-            bfreq = toas.table["freq"]
+            bfreq = toas.table["freq"].quantity
         param_unit = getattr(self, param_name).units
         d_dm_d_dmparam = np.zeros(toas.ntoas) * u.pc / u.cm**3 / param_unit
         for df in self.dm_deriv_funcs[param_name]: