diff --git a/src/BayesLine.c b/src/BayesLine.c
index f3d25237eb2019b44f3ac1a6d8d6d17d4feae734..ec5390de7596e8e77a40a2a496022ab4fd6f3442 100644
--- a/src/BayesLine.c
+++ b/src/BayesLine.c
@@ -2428,13 +2428,14 @@ void blstart(double *data, double *residual, int N, double dt, double fmin, int
   Tobs = (double)(N)*dt;  // duration
   
   // Tukey window parameter. Flat for (1-alpha) of data
-  //t_rise = 0.4; // Standard LAL setting
+  //TODO: NEED TO MAKE THIS A PARAMETER WE CAN CONTROL AT THE COMMAND LINE
+  t_rise = 0.4; // Standard LAL setting
   /*
    t_rise increased because 0.4 was found to be insufficient.
    Perhaps there is an additional data conditioning step in
    LALInferenceReadData?
    */
-  t_rise = 1.0;
+  //t_rise = 1.0;
   alpha = (2.0*t_rise/Tobs);
   
   df = 1.0/Tobs;  // frequency resolution
@@ -2865,7 +2866,8 @@ void BayesLineBurnin(struct BayesLineParams *bayesline, double *timeData, double
   {
     bayesline->priors->sigma[i] = bayesline->Snf[i];
     bayesline->priors->mean[i]  = bayesline->Snf[i];
-    bayesline->priors->lower[i] = bayesline->Sbase[i_bucket-imin] / (PRIORSCALE*10);
+    if(bayesline->flatPriorFlag) bayesline->priors->lower[i] = bayesline->Sbase[i_bucket-imin] / (PRIORSCALE*10);
+    else                         bayesline->priors->lower[i] = bayesline->Sbase[i]/PRIORSCALE;
     //bayesline->priors->upper[i] = bayesline->Snf[i]   * PRIORSCALE;
     bayesline->priors->upper[i] = (bayesline->Sbase[i] + bayesline->Sline[i]*100.0)*PRIORSCALE;
   }
diff --git a/src/BayesLine.h b/src/BayesLine.h
index 5aacfe5970c9377a07564d5fa68b45a1beb530af..e7378ad352b6bbf64dff0040da502fc5302f1975 100644
--- a/src/BayesLine.h
+++ b/src/BayesLine.h
@@ -112,6 +112,7 @@ struct BayesLineParams
   double *Sline;
 
   int constantLogLFlag;
+  int flatPriorFlag;
   
   double TwoDeltaT;
   gsl_rng *r;
diff --git a/src/BayesWave.c b/src/BayesWave.c
index 9ec4a51875bb6081867c782a4a790f55d7e8714c..bf91624580ff7b0ed7709d5869df12757a5e9bc7 100644
--- a/src/BayesWave.c
+++ b/src/BayesWave.c
@@ -1168,6 +1168,7 @@ void print_help_message(void)
   fprintf(stdout,"  --dimensionDecayRate     e-folding time for number of wavelets (1000)\n");
   fprintf(stdout,"  --fixIntrinsicParams     hold intrinsic parameters fixed\n");
   fprintf(stdout,"  --fixExtrinsicParams     hold extrinsic parameters fixed\n");
+  fprintf(stdout,"  --loudGlitchPrior        set floor of PSD prior to .01*Sn(f=200Hz)\n");
   fprintf(stdout,"\n");
   fprintf(stdout,"  ----------------------------------------------------------------------------------\n");
   fprintf(stdout,"  --- Parallel Tempering parameters   ----------------------------------------------\n");
diff --git a/src/BayesWave.h b/src/BayesWave.h
index 8fa150d05f0d37a3cd63fc0314a56e2171150915..41c939fb197423e3daad08e7c34c819eca5b018f 100644
--- a/src/BayesWave.h
+++ b/src/BayesWave.h
@@ -310,6 +310,7 @@ struct Data
   int adaptTemperatureFlag;
   int splineEvidenceFlag;
   int constantLogLFlag;
+  int flatBayesLinePriorFlag;
   int loudGlitchFlag;
   int gnuplotFlag;
   int verboseFlag;
diff --git a/src/BayesWaveIO.c b/src/BayesWaveIO.c
index d0ce7d9409fd12e3b51b8a6987aedd4457b90e7e..c72879514348f1a4e9d9bb547d47e7a571f4a966 100644
--- a/src/BayesWaveIO.c
+++ b/src/BayesWaveIO.c
@@ -1569,6 +1569,10 @@ void parse_command_line(struct Data *data, struct Chain *chain, struct Prior *pr
   ppt = LALInferenceGetProcParamVal(commandLine, "--prior");
   if(ppt) data->constantLogLFlag = 1;
   else data->constantLogLFlag = 0;
+  
+  ppt = LALInferenceGetProcParamVal(commandLine, "--loudGlitchPrior");
+  if(ppt) data->flatBayesLinePriorFlag = 1;
+  else data->flatBayesLinePriorFlag = 0;
 
   ppt = LALInferenceGetProcParamVal(commandLine, "--gnuplot");
   if(ppt) data->gnuplotFlag = 1;
diff --git a/src/BayesWaveModel.c b/src/BayesWaveModel.c
index 9c28789109ae9d5c558e2cf494565613a9689cb2..ce24e8ad3c9ac7679d301c45ea47fd922491556e 100644
--- a/src/BayesWaveModel.c
+++ b/src/BayesWaveModel.c
@@ -911,6 +911,7 @@ void initialize_bayesline(struct BayesLineParams **bayesline, struct Data *data,
 
     // set default flags
     bayesline[ifo]->constantLogLFlag = data->constantLogLFlag;
+    bayesline[ifo]->flatPriorFlag    = data->flatBayesLinePriorFlag;
 
     //Use initial estimate of PSD to set priors
     for(i=0; i<N; i++)