new_contents: ###############################################################################
  # plot_gaia_rcmag.py: plot the distribution of RC abs. mag. for Gaia G
  ###############################################################################
  import sys
  import numpy
  from galpy.util import bovy_plot
  import gaia_rc
  def plot_gaia_rcmag(plotname):
      Gs= numpy.linspace(0.1,1.9,201)
      iso= gaia_rc.load_iso()
      ZG= gaia_rc.load_ZG(iso)
      pG= numpy.array([gaia_rc.Gdist(g,ZG) for g in Gs])
      bovy_plot.bovy_print(fig_height=3.)
      bovy_plot.bovy_plot(Gs,pG/numpy.sum(pG)/(Gs[1]-Gs[0]),
                          'k-',lw=1.5,
                          xrange=[1.,0.],
                          yrange=[0.,6.],
                          xlabel=r'$M_G$')
      Gmax= Gs[numpy.argmax(pG)]
      sGs= Gs[Gs < Gmax]
      spG= pG[Gs < Gmax]
      lGs= Gs[Gs > Gmax]
      lpG= pG[Gs > Gmax]
      f= (lGs[numpy.argmin(numpy.fabs(lpG-numpy.nanmax(pG)/2.))]-sGs[numpy.argmin(numpy.fabs(spG-numpy.nanmax(pG)/2.))])/2.355
      m,s= numpy.sum(Gs*pG)/numpy.sum(pG), numpy.sqrt(numpy.sum(Gs**2.*pG)/numpy.sum(pG)-(numpy.sum(Gs*pG)/numpy.sum(pG))**2.)
      print "peak = %f, mean = %f, std. dev. = %f, std.dev from fwhm = %f" % (Gmax,m,s,f)
      bovy_plot.bovy_end_print(plotname)
      return None
  
  if __name__ == '__main__':
      plot_gaia_rcmag(sys.argv[1])
  
subject: add Gaia Mg plot