def METHOD_NAME(d,file_name, ax=None):
    """
    """
    if ax is None:
        ax = plt.gca()
    rt_min = d['identification'].rt_references[0].rt_min
    rt_max = d['identification'].rt_references[0].rt_max
    rt_peak = d['identification'].rt_references[0].rt_peak
    if len(d['data']['eic']['rt']) > 1:
        x = np.asarray(d['data']['eic']['rt'])
        y = np.asarray(d['data']['eic']['intensity'])
        ax.plot(x,y,'k-',linewidth=2.0,alpha=1.0)  
        myWhere = np.logical_and(x>=rt_min, x<=rt_max )
        ax.fill_between(x,0,y,myWhere, facecolor='c', alpha=0.3)
    ax.axvline(rt_min, color='k',linewidth=2.0)
    ax.axvline(rt_max, color='k',linewidth=2.0)
    ax.axvline(rt_peak, color='r',linewidth=2.0)
    ax.set_title("\n".join(wrap(file_name,54)),fontsize=12,weight='bold')