Table 3: SN 1994D data used in the simulation.
Phase^a Date^b $m_B\ ^{c}$ m_R,z=0.5^d counts^e

-10 11/03/94 13.26 24.86 13.5

-8 13/03/94 12.67 24.27 22.7

-6 $\cdots$ 12.26 23.86 30.7

-4 17/03/94 11.99 23.59 37.4

-2 19/03/94 11.86 23.46 39.5

+0 $\cdots$ 11.84 $^{\dag }$ 23.44 51.6

+2 23/03/94 11.89 23.49 48.4

+4 25/03/94 11.99 23.59 34.8

+6 $\cdots$ 12.13 23.73 31.3

+8 $\cdots$ 12.33 23.93 27.9

+10 31/03/94 12.55 $^{\dag }$ 24.15 21.5

+12 02/04/94 12.80 24.40 15.0

+14 $\cdots$ 13.10 24.70 12.7

^a SN phase in rest-frame days from B-band maximum.
^b UT date of spectroscopic observation. Absence of date means the spectrum is synthetic.
^c B-band magnitude taken from Table 1 in Patat et al. (1996). Data marked with $^{\dag }$ results from a polynomial fit to the B-band light curve.
^d The R-band at z=0.5 is close to rest-frame B-band, and so $m_R\ (z=0.5)\approx m_B - 2.5\log{\left( \frac{d_{L,SN}}{d_{L,{\rm gal}}} \right) ^2} \approx m_B + 11.60$ .
^e Mean total counts in the whole SN profile in ADUs per pixel along the dispersion axis.

**Table 3:** SN 1994D data used in the simulation.
Phase^a	Date^b	$m_B\ ^{c}$	m_R,z=0.5^d	counts^e
-10	11/03/94	13.26	24.86	13.5
-8	13/03/94	12.67	24.27	22.7
-6	$\cdots$	12.26	23.86	30.7
-4	17/03/94	11.99	23.59	37.4
-2	19/03/94	11.86	23.46	39.5
+0	$\cdots$	11.84 $^{\dag }$	23.44	51.6
+2	23/03/94	11.89	23.49	48.4
+4	25/03/94	11.99	23.59	34.8
+6	$\cdots$	12.13	23.73	31.3
+8	$\cdots$	12.33	23.93	27.9
+10	31/03/94	12.55 $^{\dag }$	24.15	21.5
+12	02/04/94	12.80	24.40	15.0
+14	$\cdots$	13.10	24.70	12.7

Source LaTeX | All tables | In the text

	1 Introduction
	2 The algorithm and its implementation
	3 The importance of the slit spread function
	4 The spatial resolution kernel
	5 Testing the algorithm on simulated data
	6 Testing the algorithm on real data
	7 Comparison with other methods
	8 Conclusion
	References