elif ts == "T3":
         flnmflat = "n20160130.fiberflat_T3.0014.fits"
     elif ts == "T4":
         flnmflat = "n20160130.fiberflat_T4.0015.fits"
     else:
         print("{} is not a valid telescope".format(ts))
         continue
     # Import tungsten fiberflat
     fileflat = os.path.join(data_dir, "n20160130", flnmflat)
     ff = pyfits.open(fileflat, ignore_missing_end=True, uint=True)
     ccd_tmp = ff[0].data
     trace_ccd += ccd_tmp[::-1, 0:actypix]
 ### Find traces and label for the rest of the code
 print("Searching for Traces")
 multi_coeffs = utils.find_trace_coeffs(
     trace_ccd, 2, fiber_space, num_points=num_points, num_fibers=num_fibers, skip_peaks=1
 )
 trace_coeffs = multi_coeffs[0]
 trace_intense_coeffs = multi_coeffs[1]
 trace_sig_coeffs = multi_coeffs[2]
 trace_pow_coeffs = multi_coeffs[3]
 ### Save for future use
 hdu1 = pyfits.PrimaryHDU(trace_coeffs)
 hdu2 = pyfits.PrimaryHDU(trace_intense_coeffs)
 hdu3 = pyfits.PrimaryHDU(trace_sig_coeffs)
 hdu4 = pyfits.PrimaryHDU(trace_pow_coeffs)
 hdulist = pyfits.HDUList([hdu1])
 hdulist.append(hdu2)
 hdulist.append(hdu3)
 hdulist.append(hdu4)
 hdulist.writeto(os.path.join(sim_dir, "trace.fits"))  # ,clobber=True)
    #fileflat = os.path.join(paths,'minerva_flat.fits')
    ff = pyfits.open(fileflat,ignore_missing_end=True,uint=True)
    fa = pyfits.open(filearc,ignore_missing_end=True,uint=True)
    ccd_tmp = ff[0].data
    arc_tmp = fa[0].data
    trace_ccd += ccd_tmp[::-1,0:actypix]
    arc_ccd += arc_tmp[::-1,0:actypix]

raw_img = arc_ccd
#ccd = arc_ccd #Temporary, just to examine fiber vs. wavelength
#ccd -= np.median(ccd)
#ccd[ccd<0] = 0
#i2 = False


trace_coeffs, trace_intense_coeffs, trace_sig_coeffs, trace_pow_coeffs = m_utils.find_trace_coeffs(trace_ccd,2,args.fiber_space,num_points=args.num_points,num_fibers=28*args.telescopes,skip_peaks=1)

###Plot to visualize traces      
#fig,ax = plt.subplots()
#ax.pcolorfast(trace_ccd)
#for i in range(num_fibers-4):
#    ys = (np.arange(ypix)-ypix/2)/ypix
#    xs = trace_coeffs[2,i]*ys**2+trace_coeffs[1,i]*ys+trace_coeffs[0,i]
#    yp = np.arange(ypix)
#    plt.plot(yp,xs)
#plt.show()


#plt.imshow(raw_img,interpolation='none')
#plt.show()