Clean up of the earth/sun ephemeris handling

- Provide a function in the BaseSearchClass to read in the ephemeris
  files
- Some clean up of docstrings

pyfstat/core.py

@@ -5,7 +5,6 @@ import os
 import logging
 import copy
 
-
 import glob
 import numpy as np
 import scipy.special
@@ -27,15 +26,14 @@ else:
 
 helper_functions.set_up_matplotlib_defaults()
 args, tqdm = helper_functions.set_up_command_line_arguments()
-earth_ephem, sun_ephem = helper_functions.set_up_ephemeris_configuration()
 detector_colors = {'h1': 'C0', 'l1': 'C1'}
 
 
 class Bunch(object):
     """ Turns dictionary into object with attribute-style access
 
-    Parameter
-    ---------
+    Parameters
+    ----------
     dict
         Input dictionary
 
@@ -178,18 +176,7 @@ def predict_fstat(h0, cosi, psi, Alpha, Delta, Freq, sftfilepattern,
 
 
 class BaseSearchClass(object):
-    """ The base search class providing parent methods to other searches
-
-    Attributes
-    ----------
-    earth_ephem_default, sun_ephem_default : str
-        Paths to the earth and sun ephemeris files to use if not specified
-        elsewhere
-
-    """
-
-    earth_ephem_default = earth_ephem
-    sun_ephem_default = sun_ephem
+    """ The base search class providing parent methods to other searches """
 
     def _add_log_file(self):
         """ Log output to a file, requires class to have outdir and label """
@@ -306,19 +293,37 @@ class BaseSearchClass(object):
             raise IOError('No sfts found matching {}'.format(
                 self.sftfilepattern))
 
+    def set_ephemeris_files(self, earth_ephem=None, sun_ephem=None):
+        """ Set the ephemeris files to use for the Earth and Sun
 
-class ComputeFstat(object):
-    """ Base class providing interface to `lalpulsar.ComputeFstat` """
+        Parameters
+        ----------
+        earth_ephem, sun_ephem: str
+            Paths of the two files containing positions of Earth and Sun,
+            respectively at evenly spaced times, as passed to CreateFstatInput
 
-    earth_ephem_default = earth_ephem
-    sun_ephem_default = sun_ephem
+        Note: If not manually set, default values in ~/.pyfstat are used
+
+        """
+
+        earth_ephem_default, sun_ephem_default = (
+                helper_functions.get_ephemeris_files())
+
+        if earth_ephem is None:
+            self.earth_ephem = earth_ephem_default
+        if sun_ephem is None:
+            self.sun_ephem = sun_ephem_default
+
+
+class ComputeFstat(BaseSearchClass):
+    """ Base class providing interface to `lalpulsar.ComputeFstat` """
 
     @helper_functions.initializer
     def __init__(self, tref, sftfilepattern=None, minStartTime=None,
                  maxStartTime=None, binary=False, transient=True, BSGL=False,
                  detectors=None, minCoverFreq=None, maxCoverFreq=None,
-                 earth_ephem=None, sun_ephem=None, injectSources=None,
-                 injectSqrtSX=None, assumeSqrtSX=None, SSBprec=None):
+                 injectSources=None, injectSqrtSX=None, assumeSqrtSX=None,
+                 SSBprec=None):
         """
         Parameters
         ----------
@@ -343,10 +348,6 @@ class ComputeFstat(object):
             The min and max cover frequency passed to CreateFstatInput, if
             either is None the range of frequencies in the SFT less 1Hz is
             used.
-        earth_ephem, sun_ephem : str
-            Paths of the two files containing positions of Earth and Sun,
-            respectively at evenly spaced times, as passed to CreateFstatInput.
-            If None defaults will be used.
         injectSources : dict or str
             Either a dictionary of the values to inject, or a string pointing
             to the .cff file to inject
@@ -362,11 +363,7 @@ class ComputeFstat(object):
 
         """
 
-        if earth_ephem is None:
-            self.earth_ephem = self.earth_ephem_default
-        if sun_ephem is None:
-            self.sun_ephem = self.sun_ephem_default
-
+        self.set_ephemeris_files()
         self.init_computefstatistic_single_point()
 
     def _get_SFTCatalog(self):
@@ -827,15 +824,15 @@ class ComputeFstat(object):
             return ax
 
 
-class SemiCoherentSearch(BaseSearchClass, ComputeFstat):
+class SemiCoherentSearch(ComputeFstat):
     """ A semi-coherent search """
 
     @helper_functions.initializer
     def __init__(self, label, outdir, tref, nsegs=None, sftfilepattern=None,
                  binary=False, BSGL=False, minStartTime=None,
                  maxStartTime=None, minCoverFreq=None, maxCoverFreq=None,
-                 detectors=None, earth_ephem=None, sun_ephem=None,
-                 injectSources=None, assumeSqrtSX=None, SSBprec=None):
+                 detectors=None, injectSources=None, assumeSqrtSX=None,
+                 SSBprec=None):
         """
         Parameters
         ----------
@@ -853,10 +850,7 @@ class SemiCoherentSearch(BaseSearchClass, ComputeFstat):
         """
 
         self.fs_file_name = "{}/{}_FS.dat".format(self.outdir, self.label)
-        if self.earth_ephem is None:
-            self.earth_ephem = self.earth_ephem_default
-        if self.sun_ephem is None:
-            self.sun_ephem = self.sun_ephem_default
+        self.set_ephemeris_files()
         self.transient = True
         self.init_computefstatistic_single_point()
         self.init_semicoherent_parameters()
@@ -957,7 +951,7 @@ class SemiCoherentSearch(BaseSearchClass, ComputeFstat):
         return d_detStat
 
 
-class SemiCoherentGlitchSearch(BaseSearchClass, ComputeFstat):
+class SemiCoherentGlitchSearch(ComputeFstat):
     """ A semi-coherent glitch search
 
     This implements a basic `semi-coherent glitch F-stat in which the data
@@ -970,8 +964,7 @@ class SemiCoherentGlitchSearch(BaseSearchClass, ComputeFstat):
     def __init__(self, label, outdir, tref, minStartTime, maxStartTime,
                  nglitch=0, sftfilepattern=None, theta0_idx=0, BSGL=False,
                  minCoverFreq=None, maxCoverFreq=None, assumeSqrtSX=None,
-                 detectors=None, earth_ephem=None, sun_ephem=None,
-                 SSBprec=None, injectSources=None):
+                 detectors=None, SSBprec=None, injectSources=None):
         """
         Parameters
         ----------
@@ -994,10 +987,7 @@ class SemiCoherentGlitchSearch(BaseSearchClass, ComputeFstat):
         """
 
         self.fs_file_name = "{}/{}_FS.dat".format(self.outdir, self.label)
-        if self.earth_ephem is None:
-            self.earth_ephem = self.earth_ephem_default
-        if self.sun_ephem is None:
-            self.sun_ephem = self.sun_ephem_default
+        self.set_ephemeris_files()
         self.transient = True
         self.binary = False
         self.init_computefstatistic_single_point()
@@ -1017,7 +1007,7 @@ class SemiCoherentGlitchSearch(BaseSearchClass, ComputeFstat):
                 np.array([delta_phi, delta_F0s, delta_F1s, delta_F2]).T)
 
         thetas = self._calculate_thetas(theta, delta_thetas, tboundaries,
-                                       theta0_idx=self.theta0_idx)
+                                        theta0_idx=self.theta0_idx)
 
         twoFSum = 0
         for i, theta_i_at_tref in enumerate(thetas):

pyfstat/grid_based_searches.py

@@ -13,7 +13,7 @@ import matplotlib.pyplot as plt
 import pyfstat.helper_functions as helper_functions
 from pyfstat.core import (BaseSearchClass, ComputeFstat,
                           SemiCoherentGlitchSearch, SemiCoherentSearch, tqdm,
-                          args, earth_ephem, sun_ephem, read_par)
+                          args, read_par)
 
 
 class GridSearch(BaseSearchClass):
@@ -22,9 +22,8 @@ class GridSearch(BaseSearchClass):
     def __init__(self, label, outdir, sftfilepattern, F0s=[0], F1s=[0], F2s=[0],
                  Alphas=[0], Deltas=[0], tref=None, minStartTime=None,
                  maxStartTime=None, nsegs=1, BSGL=False, minCoverFreq=None,
-                 maxCoverFreq=None, earth_ephem=None, sun_ephem=None,
-                 detectors=None, SSBprec=None, injectSources=None,
-                 input_arrays=False, assumeSqrtSX=None):
+                 maxCoverFreq=None, detectors=None, SSBprec=None,
+                 injectSources=None, input_arrays=False, assumeSqrtSX=None):
         """
         Parameters
         ----------
@@ -45,11 +44,6 @@ class GridSearch(BaseSearchClass):
         For all other parameters, see `pyfstat.ComputeFStat` for details
         """
 
-        if earth_ephem is None:
-            self.earth_ephem = self.earth_ephem_default
-        if sun_ephem is None:
-            self.sun_ephem = self.sun_ephem_default
-
         if os.path.isdir(outdir) is False:
             os.mkdir(outdir)
         self.set_out_file()
@@ -61,7 +55,6 @@ class GridSearch(BaseSearchClass):
             self.search = ComputeFstat(
                 tref=self.tref, sftfilepattern=self.sftfilepattern,
                 minCoverFreq=self.minCoverFreq, maxCoverFreq=self.maxCoverFreq,
-                earth_ephem=self.earth_ephem, sun_ephem=self.sun_ephem,
                 detectors=self.detectors, transient=False,
                 minStartTime=self.minStartTime, maxStartTime=self.maxStartTime,
                 BSGL=self.BSGL, SSBprec=self.SSBprec,
@@ -75,7 +68,6 @@ class GridSearch(BaseSearchClass):
                 BSGL=self.BSGL, minStartTime=self.minStartTime,
                 maxStartTime=self.maxStartTime, minCoverFreq=self.minCoverFreq,
                 maxCoverFreq=self.maxCoverFreq, detectors=self.detectors,
-                earth_ephem=self.earth_ephem, sun_ephem=self.sun_ephem,
                 injectSources=self.injectSources)
 
             def cut_out_tstart_tend(*vals):
@@ -313,7 +305,7 @@ class GridGlitchSearch(GridSearch):
                  F1s=[0], F2s=[0], delta_F0s=[0], delta_F1s=[0], tglitchs=None,
                  Alphas=[0], Deltas=[0], tref=None, minStartTime=None,
                  maxStartTime=None, minCoverFreq=None, maxCoverFreq=None,
-                 write_after=1000, earth_ephem=None, sun_ephem=None):
+                 write_after=1000):
 
         """
         Parameters
@@ -333,16 +325,11 @@ class GridGlitchSearch(GridSearch):
         """
         if tglitchs is None:
             self.tglitchs = [self.maxStartTime]
-        if earth_ephem is None:
-            self.earth_ephem = self.earth_ephem_default
-        if sun_ephem is None:
-            self.sun_ephem = self.sun_ephem_default
 
         self.search = SemiCoherentGlitchSearch(
             label=label, outdir=outdir, sftfilepattern=self.sftfilepattern,
             tref=tref, minStartTime=minStartTime, maxStartTime=maxStartTime,
             minCoverFreq=minCoverFreq, maxCoverFreq=maxCoverFreq,
-            earth_ephem=self.earth_ephem, sun_ephem=self.sun_ephem,
             BSGL=self.BSGL)
 
         if os.path.isdir(outdir) is False:
@@ -372,8 +359,7 @@ class FrequencySlidingWindow(GridSearch):
                  Alpha, Delta, tref, minStartTime=None,
                  maxStartTime=None, window_size=10*86400, window_delta=86400,
                  BSGL=False, minCoverFreq=None, maxCoverFreq=None,
-                 earth_ephem=None, sun_ephem=None, detectors=None,
-                 SSBprec=None, injectSources=None):
+                 detectors=None, SSBprec=None, injectSources=None):
         """
         Parameters
         ----------
@@ -392,11 +378,6 @@ class FrequencySlidingWindow(GridSearch):
         For all other parameters, see `pyfstat.ComputeFStat` for details
         """
 
-        if earth_ephem is None:
-            self.earth_ephem = self.earth_ephem_default
-        if sun_ephem is None:
-            self.sun_ephem = self.sun_ephem_default
-
         if os.path.isdir(outdir) is False:
             os.mkdir(outdir)
         self.set_out_file()
@@ -411,7 +392,6 @@ class FrequencySlidingWindow(GridSearch):
         self.search = ComputeFstat(
             tref=self.tref, sftfilepattern=self.sftfilepattern,
             minCoverFreq=self.minCoverFreq, maxCoverFreq=self.maxCoverFreq,
-            earth_ephem=self.earth_ephem, sun_ephem=self.sun_ephem,
             detectors=self.detectors, transient=True,
             minStartTime=self.minStartTime, maxStartTime=self.maxStartTime,
             BSGL=self.BSGL, SSBprec=self.SSBprec,
@@ -487,8 +467,7 @@ class DMoff_NO_SPIN(GridSearch):
     @helper_functions.initializer
     def __init__(self, par, label, outdir, sftfilepattern, minStartTime=None,
                  maxStartTime=None, minCoverFreq=None, maxCoverFreq=None,
-                 earth_ephem=None, sun_ephem=None, detectors=None,
-                 injectSources=None, assumeSqrtSX=None):
+                 detectors=None, injectSources=None, assumeSqrtSX=None):
         """
         Parameters
         ----------
@@ -506,11 +485,6 @@ class DMoff_NO_SPIN(GridSearch):
         For all other parameters, see `pyfstat.ComputeFStat` for details
         """
 
-        if earth_ephem is None:
-            self.earth_ephem = self.earth_ephem_default
-        if sun_ephem is None:
-            self.sun_ephem = self.sun_ephem_default
-
         if os.path.isdir(outdir) is False:
             os.mkdir(outdir)
 

pyfstat/helper_functions.py

@@ -80,7 +80,7 @@ def set_up_command_line_arguments():
     return args, tqdm
 
 
-def set_up_ephemeris_configuration():
+def get_ephemeris_files():
     """ Returns the earth_ephem and sun_ephem """
     config_file = os.path.expanduser('~')+'/.pyfstat.conf'
     if os.path.isfile(config_file):

pyfstat/make_sfts.py

@@ -13,8 +13,6 @@ import lalpulsar
 from pyfstat.core import BaseSearchClass, tqdm, args
 import pyfstat.helper_functions as helper_functions
 
-earth_ephem, sun_ephem = helper_functions.set_up_ephemeris_configuration()
-
 
 class KeyboardInterruptError(Exception):
     pass
@@ -49,6 +47,7 @@ class Writer(BaseSearchClass):
         see `lalapps_Makefakedata_v5 --help` for help with the other paramaters
         """
 
+        self.set_ephemeris_files()
         self.tstart = int(tstart)
         self.duration = int(duration)
 
@@ -372,15 +371,11 @@ class GlitchWriter(Writer):
 class FrequencyModulatedArtifactWriter(Writer):
     """ Instance object for generating SFTs containing artifacts """
 
-    earth_ephem_default = earth_ephem
-    sun_ephem_default = sun_ephem
-
     @helper_functions.initializer
     def __init__(self, label, outdir=".", tstart=700000000,
                  data_duration=86400, F0=30, F1=0, tref=None, h0=10, Tsft=1800,
                  sqrtSX=1, Band=4, Pmod=lal.DAYSID_SI, Pmod_phi=0, Pmod_amp=1,
-                 Alpha=None, Delta=None, IFO='H1', earth_ephem=None,
-                 sun_ephem=None):
+                 Alpha=None, Delta=None, IFO='H1'):
         """
         Parameters
         ----------
@@ -399,6 +394,7 @@ class FrequencyModulatedArtifactWriter(Writer):
         see `lalapps_Makefakedata_v4 --help` for help with the other paramaters
         """
 
+        self.set_ephemeris_files()
         self.tstart = int(tstart)
         self.data_duration = int(data_duration)
 
@@ -414,11 +410,6 @@ class FrequencyModulatedArtifactWriter(Writer):
         self.cosi = 0
         self.Fmax = F0
 
-        if self.earth_ephem is None:
-            self.earth_ephem = self.earth_ephem_default
-        if self.sun_ephem is None:
-            self.sun_ephem = self.sun_ephem_default
-
         if Alpha is not None and Delta is not None:
             self.n = np.array([np.cos(Alpha)*np.cos(Delta),
                                np.sin(Alpha)*np.cos(Delta),

pyfstat/mcmc_based_searches.py

@@ -16,8 +16,8 @@ import corner
 import dill as pickle
 
 import pyfstat.core as core
-from pyfstat.core import tqdm, args, earth_ephem, sun_ephem, read_par
-from pyfstat.optimal_setup_functions import get_Nstar_estimate, get_optimal_setup
+from pyfstat.core import tqdm, args, read_par
+import pyfstat.optimal_setup_functions as optimal_setup_functions
 import pyfstat.helper_functions as helper_functions
 
 
@@ -33,17 +33,17 @@ class MCMCSearch(core.BaseSearchClass):
         asini='', period='s', ecc='', tp='', argp='')
     rescale_dictionary = {}
 
-
     @helper_functions.initializer
     def __init__(self, label, outdir, theta_prior, tref, minStartTime,
                  maxStartTime, sftfilepattern=None, nsteps=[100, 100],
                  nwalkers=100, ntemps=1, log10temperature_min=-5,
                  theta_initial=None, scatter_val=1e-10, rhohatmax=1000,
                  binary=False, BSGL=False, minCoverFreq=None, SSBprec=None,
-                 maxCoverFreq=None, detectors=None, earth_ephem=None,
-                 sun_ephem=None, injectSources=None, assumeSqrtSX=None):
+                 maxCoverFreq=None, detectors=None,
+                 injectSources=None, assumeSqrtSX=None):
         """
         Parameters
+        ----------
         label, outdir: str
             A label and directory to read/write data from/to
         sftfilepattern: str
@@ -83,10 +83,6 @@ class MCMCSearch(core.BaseSearchClass):
         minCoverFreq, maxCoverFreq: float
             Minimum and maximum instantaneous frequency which will be covered
             over the SFT time span as passed to CreateFstatInput
-        earth_ephem, sun_ephem: str
-            Paths of the two files containing positions of Earth and Sun,
-            respectively at evenly spaced times, as passed to CreateFstatInput
-            If None defaults defined in BaseSearchClass will be used
 
         """
 
@@ -108,11 +104,6 @@ class MCMCSearch(core.BaseSearchClass):
         else:
             self.betas = None
 
-        if earth_ephem is None:
-            self.earth_ephem = self.earth_ephem_default
-        if sun_ephem is None:
-            self.sun_ephem = self.sun_ephem_default
-
         if args.clean and os.path.isfile(self.pickle_path):
             os.rename(self.pickle_path, self.pickle_path+".old")
 
@@ -137,7 +128,6 @@ class MCMCSearch(core.BaseSearchClass):
         self.search = core.ComputeFstat(
             tref=self.tref, sftfilepattern=self.sftfilepattern,
             minCoverFreq=self.minCoverFreq, maxCoverFreq=self.maxCoverFreq,
-            earth_ephem=self.earth_ephem, sun_ephem=self.sun_ephem,
             detectors=self.detectors, BSGL=self.BSGL, transient=False,
             minStartTime=self.minStartTime, maxStartTime=self.maxStartTime,
             binary=self.binary, injectSources=self.injectSources,
@@ -1516,7 +1506,7 @@ class MCMCGlitchSearch(MCMCSearch):
                  theta_initial=None, scatter_val=1e-10, rhohatmax=1000,
                  dtglitchmin=1*86400, theta0_idx=0, detectors=None,
                  BSGL=False, minCoverFreq=None, maxCoverFreq=None,
-                 earth_ephem=None, sun_ephem=None, injectSources=None):
+                 injectSources=None):
         """
         Parameters
         ----------
@@ -1570,10 +1560,6 @@ class MCMCGlitchSearch(MCMCSearch):
         minCoverFreq, maxCoverFreq: float
             Minimum and maximum instantaneous frequency which will be covered
             over the SFT time span as passed to CreateFstatInput
-        earth_ephem, sun_ephem: str
-            Paths of the two files containing positions of Earth and Sun,
-            respectively at evenly spaced times, as passed to CreateFstatInput
-            If None defaults defined in BaseSearchClass will be used
 
         """
 
@@ -1590,11 +1576,6 @@ class MCMCGlitchSearch(MCMCSearch):
             self.betas = np.logspace(0, self.log10temperature_min, self.ntemps)
         else:
             self.betas = None
-        if earth_ephem is None:
-            self.earth_ephem = self.earth_ephem_default
-        if sun_ephem is None:
-            self.sun_ephem = self.sun_ephem_default
-
         if args.clean and os.path.isfile(self.pickle_path):
             os.rename(self.pickle_path, self.pickle_path+".old")
 
@@ -1611,8 +1592,7 @@ class MCMCGlitchSearch(MCMCSearch):
             label=self.label, outdir=self.outdir, sftfilepattern=self.sftfilepattern,
             tref=self.tref, minStartTime=self.minStartTime,
             maxStartTime=self.maxStartTime, minCoverFreq=self.minCoverFreq,
-            maxCoverFreq=self.maxCoverFreq, earth_ephem=self.earth_ephem,
-            sun_ephem=self.sun_ephem, detectors=self.detectors, BSGL=self.BSGL,
+            maxCoverFreq=self.maxCoverFreq, detectors=self.detectors, BSGL=self.BSGL,
             nglitch=self.nglitch, theta0_idx=self.theta0_idx,
             injectSources=self.injectSources)
 
@@ -1778,8 +1758,7 @@ class MCMCSemiCoherentSearch(MCMCSearch):
                  theta_initial=None, scatter_val=1e-10, rhohatmax=1000,
                  detectors=None, BSGL=False, minStartTime=None,
                  maxStartTime=None, minCoverFreq=None, maxCoverFreq=None,
-                 earth_ephem=None, sun_ephem=None, injectSources=None,
-                 assumeSqrtSX=None):
+                 injectSources=None, assumeSqrtSX=None):
         """
 
         """
@@ -1797,11 +1776,6 @@ class MCMCSemiCoherentSearch(MCMCSearch):
             self.betas = np.logspace(0, self.log10temperature_min, self.ntemps)
         else:
             self.betas = None
-        if earth_ephem is None:
-            self.earth_ephem = self.earth_ephem_default
-        if sun_ephem is None:
-            self.sun_ephem = self.sun_ephem_default
-
         if args.clean and os.path.isfile(self.pickle_path):
             os.rename(self.pickle_path, self.pickle_path+".old")
 
@@ -1827,11 +1801,10 @@ class MCMCSemiCoherentSearch(MCMCSearch):
         logging.info('Setting up search object')
         self.search = core.SemiCoherentSearch(
             label=self.label, outdir=self.outdir, tref=self.tref,
-            nsegs=self.nsegs, sftfilepattern=self.sftfilepattern, binary=self.binary,
-            BSGL=self.BSGL, minStartTime=self.minStartTime,
+            nsegs=self.nsegs, sftfilepattern=self.sftfilepattern,
+            binary=self.binary, BSGL=self.BSGL, minStartTime=self.minStartTime,
             maxStartTime=self.maxStartTime, minCoverFreq=self.minCoverFreq,
             maxCoverFreq=self.maxCoverFreq, detectors=self.detectors,
-            earth_ephem=self.earth_ephem, sun_ephem=self.sun_ephem,
             injectSources=self.injectSources, assumeSqrtSX=self.assumeSqrtSX)
 
     def logp(self, theta_vals, theta_prior, theta_keys, search):
@@ -1888,7 +1861,7 @@ class MCMCFollowUpSearch(MCMCSemiCoherentSearch):
                 return True
             else:
                 logging.info(
-                    'Old setup does not match one of NstarMax, Nsegs0 or prior')
+                    "Old setup doesn't match one of NstarMax, Nsegs0 or prior")
         except KeyError as e:
             logging.info(
                 'Error found when comparing with old setup: {}'.format(e))
@@ -1926,13 +1899,13 @@ class MCMCFollowUpSearch(MCMCSemiCoherentSearch):
                 generate_setup = True
 
             if generate_setup:
-                nsegs_vals, Nstar_vals = get_optimal_setup(
-                    NstarMax, Nsegs0, self.tref, self.minStartTime,
-                    self.maxStartTime, self.theta_prior,
-                    self.search.detector_names, self.earth_ephem,
-                    self.sun_ephem)
-                self.write_setup_input_file(run_setup_input_file, NstarMax, Nsegs0,
-                                            nsegs_vals, Nstar_vals,
+                nsegs_vals, Nstar_vals = (
+                        optimal_setup_functions.get_optimal_setup(
+                            NstarMax, Nsegs0, self.tref, self.minStartTime,
+                            self.maxStartTime, self.theta_prior,
+                            self.search.detector_names))
+                self.write_setup_input_file(run_setup_input_file, NstarMax,
+                                            Nsegs0, nsegs_vals, Nstar_vals,
                                             self.theta_prior)
 
             run_setup = [((self.nsteps[0], 0),  nsegs, False)
@@ -1954,10 +1927,9 @@ class MCMCFollowUpSearch(MCMCSemiCoherentSearch):
                 if args.no_template_counting:
                     Nstar_vals.append([1, 1, 1])
                 else:
-                    Nstar = get_Nstar_estimate(
+                    Nstar = optimal_setup_functions.get_Nstar_estimate(
                         rs[1], self.tref, self.minStartTime, self.maxStartTime,
-                        self.theta_prior, self.search.detector_names,
-                        self.earth_ephem, self.sun_ephem)
+                        self.theta_prior, self.search.detector_names)
                     Nstar_vals.append(Nstar)
 
         if log_table:
@@ -2137,7 +2109,6 @@ class MCMCTransientSearch(MCMCSearch):
         self.search = core.ComputeFstat(
             tref=self.tref, sftfilepattern=self.sftfilepattern,
             minCoverFreq=self.minCoverFreq, maxCoverFreq=self.maxCoverFreq,
-            earth_ephem=self.earth_ephem, sun_ephem=self.sun_ephem,
             detectors=self.detectors, transient=True,
             minStartTime=self.minStartTime, maxStartTime=self.maxStartTime,
             BSGL=self.BSGL, binary=self.binary,

pyfstat/optimal_setup_functions.py

@@ -15,7 +15,7 @@ import pyfstat.helper_functions as helper_functions
 
 def get_optimal_setup(
         NstarMax, Nsegs0, tref, minStartTime, maxStartTime, prior,
-        detector_names, earth_ephem, sun_ephem):
+        detector_names):
     """ Using an optimisation step, calculate the optimal setup ladder
 
     Parameters
@@ -29,7 +29,6 @@ def get_optimal_setup(
         Prior dictionary, each item must either be a fixed scalar value, or
         a uniform prior.
     detector_names : list of str
-    earth_ephem, sun_ephem : str
 
     Returns
     -------
@@ -43,7 +42,7 @@ def get_optimal_setup(
 
     Nstar_0 = get_Nstar_estimate(
         Nsegs0, tref, minStartTime, maxStartTime, prior,
-        detector_names, earth_ephem, sun_ephem)
+        detector_names)
     logging.info(
         'Stage {}, nsegs={}, Nstar={}'.format(0, Nsegs0, int(Nstar_0)))
 
@@ -55,7 +54,7 @@ def get_optimal_setup(
     while nsegs_i > 1:
         nsegs_i, Nstar_i = _get_nsegs_ip1(
             nsegs_i, NstarMax, tref, minStartTime, maxStartTime, prior,
-            detector_names, earth_ephem, sun_ephem)
+            detector_names)
         nsegs_vals.append(nsegs_i)
         Nstar_vals.append(Nstar_i)
         i += 1
@@ -66,13 +65,13 @@ def get_optimal_setup(
 
 
 def _get_nsegs_ip1(nsegs_i, NstarMax, tref, minStartTime, maxStartTime, prior,
-                   detector_names, earth_ephem, sun_ephem):
+                   detector_names):
     """ Calculate Nsegs_{i+1} given Nsegs_{i} """
 
     log10NstarMax = np.log10(NstarMax)
     log10Nstari = np.log10(get_Nstar_estimate(
         nsegs_i, tref, minStartTime, maxStartTime, prior,
-        detector_names, earth_ephem, sun_ephem))
+        detector_names))
 
     def f(nsegs_ip1):
         if nsegs_ip1[0] > nsegs_i:
@@ -83,8 +82,7 @@ def _get_nsegs_ip1(nsegs_i, NstarMax, tref, minStartTime, maxStartTime, prior,
         if nsegs_ip1 == 0:
             nsegs_ip1 = 1
         Nstarip1 = get_Nstar_estimate(
-            nsegs_ip1, tref, minStartTime, maxStartTime, prior,
-            detector_names, earth_ephem, sun_ephem)
+            nsegs_ip1, tref, minStartTime, maxStartTime, prior, detector_names)
         if Nstarip1 is None:
             return 1e6
         else:
@@ -99,7 +97,7 @@ def _get_nsegs_ip1(nsegs_i, NstarMax, tref, minStartTime, maxStartTime, prior,
     if res.success:
         return nsegs_ip1, get_Nstar_estimate(
             nsegs_ip1, tref, minStartTime, maxStartTime, prior,
-            detector_names, earth_ephem, sun_ephem)