Merge branch 'nanograv:master' into main

enterprise_extensions/sampler.py

@@ -166,6 +166,15 @@ def __init__(self, pta, snames=None, empirical_distr=None, f_stat_file=None, sav
         self.ndim = sum(p.size or 1 for p in pta.params)
         self.plist = [p.name for p in pta.params]
 
+        # parameter dictionary
+        self.params_dict = {}
+        for p in self.params:
+            if p.size:
+                for ii in range(0, p.size):
+                    self.params_dict.update({p.name + "_{}".format(ii): p})
+            else:
+                self.params_dict.update({p.name: p})
+
         # parameter map
         self.pmap = {}
         ct = 0
@@ -530,8 +539,8 @@ def draw_from_gwb_log_uniform_distribution(self, x, iter, beta):
         # draw parameter from signal model
         signal_name = [par for par in self.pnames
                        if ('gw' in par and 'log10_A' in par)][0]
-        idx = list(self.pnames).index(signal_name)
-        param = self.params[idx]
+
+        param = self.params_dict[signal_name]
 
         q[self.pmap[str(param)]] = np.random.uniform(param.prior._defaults['pmin'], param.prior._defaults['pmax'])
 

requirements.txt

@@ -6,7 +6,7 @@ scikit-sparse>=0.4.5
 pint-pulsar>=0.8.2
 libstempo>=2.4.0
 enterprise-pulsar>=3.3.0
-scikit-learn==0.24
+scikit-learn==1.0.1
 emcee
 ptmcmcsampler
 numdifftools