Star formation rate in M51 from Hα observations

Deepashri Thatte

2002 June 3



Abstract

The interacting spiral galaxy M51(NGC5194) was observed in Hα and H continuum filters. A Continuum subtracted image was obtained to get the emission line flux. Because of extreme non-photometeric conditions the data was used to obtain an upper limit on the Hα luminosity and the corrosponding star formation rate in individual HII regions. The upper limit is found to be L(Hα) ~ 1039.8erg s-1, SFR = 0.0098 α significant at 2&sig2; and L(Hα)= 1.035 x 1040erg s-1, SFR = 0.0147&m_per_yr; significant at 3&sig2;, consistent with the previously published results.

1. Introduction

The evolutionary history of galaxies and the nature of the Hubble sequence can be studied from observations of star formation rates. It also tells about the concentration of star forming gas into clouds of a certain size. The interaction between two galaxies also leads to star formation. Observations of star formation rates in isolated and interacting galaxies have been made (Kennicutt 1983; Smith et. al. 1990) to study the effect of interaction. Dynamical models have been constructed to study the star formation rate in interacting galaxies (Tully 1974; Bushouse 1987).

NGC 5194, or Whirlpool galaxy, is an Sbc type grand design spiral galaxy seen nearly face on and is at a distance of 7.3 Mpc (Waller et. al.1997). It is interacting with its companion NGC 5195. Its proximity and face on appearence make it an ideal candidate to study star formation rate(SFR) in interacting galaxies. M51 has been observed in different wavelength bands to study SFR. (Bushouse 1987; Bell & Kennicutt 2001; Scoville et. al. 2001). The consistency of these observations can be checked by comparing star formation rates.

The goal of this project was to determine the star formation rate in M51 from Hα observations and compare it with previously published results of star formation rate in various wavelength bands. UV photons with energies in excess of 13.6 eV ionize the ground state HI gas surrounding the massive stars. The ionized photons cascade back to the ground state producing recombination lines. A significant portion of this recombination radiation is an Hα (n =3 to n=2) transition. Hα luminosity is directly proportional to the number of ionizing photons and therefore can be used to determine the star formation rate. This goal could not be achieved because of extreme non photometric conditions. The data was used instead to find an upper limit on the flux and the SFR in individual HII regions.

2. Observations

M51( α = 13h29m53s.4, δ = +47°11'48" ) was observed in Hα and H continuum filters on May 3-4, 2002 with the 0.25 m Great Ohio Telescope(GOT) and ST-8 detector with 1530 x 1020 pixels. The pixel size is 9 X 9 μm with a pixel scale of 0.7 arcsec/pixel. The angular size of M51 is 11' x 7', which fits in the 17.5' x 12.8' field of view of the detector. Conditions were non-photometric and most of the observations were taken through cirrus clouds. The CCD operating temperature was ~-20°C.

A guiding star was not available; therefore, the exposure time for a single exposure was restricted to 30s. 22 x 30s exposures were obtained in each filter. The filters were alternated after each exposure to observe the galaxy in each filter at same airmasses. The ring nebula (M57) was used as a standard and was observed at two different airmasses. Calibration frames included 11 x 0.11s zeros, 6 x 20s and 5 x 30s darks, and 8 x 20s evening and morning flats in each Hα and H continuum. Morning flats were taken after sunrise; the sky was not uniform because of thin cirrus. There may have been a light leak due to light from the laptop during observations.

3. Reductions

The image reduction was done using standard IRAF (Image Reduction and Analysis Facility) packages. The 11 zeros were combined into one zero frame. The darks of the same exposure time were combined; they were zero corrected and combined into one dark. The flatframes were zero and dark corrected; the corrected flats in each filter were combined. The object frames in each filter were dark and zero corrected. They were then divided by the normalized flat field of the appropriate filter to get the final 30s images of the galaxy (and M57) in each filter. Sky subtraction was not done assuming that the sky contribution is neglible in Hα and H continuum. The galaxy could not be seen in the final images and there was a sharp flux gradient in each image. The images were block averaged in 4 x 4 pixels. After block averaging only 8 images in Hα filter showed very faint nuclei of the two galaxies. These eight 30s exposures are equivalent to one 163s exposure. A sample 30s image in H
α is shown in figure 1.


Figure 1.Continuum subtracted Hα image of M51 in a 30s exposure. Nuclei of two galaxies are faintly visible (indicated by arrows)

Spiral arms and HII regions were not visible. The eight Hα images were added using the 'imexpr' task to get the final Hα image and the corrosponding H continuum images were added to form the final H continuum image. Since the H continuum filter is about 4 times wider than the Hα filter, one forth of the H continuum image was subtracted from the Hα image to get the Hα emission line flux. The image after subtraction was blank(except for statistical noise) and no part of the galaxy was visible.

This could have been the effect of the flux gradient mentioned earlier. To remove it, the following steps were performed on the set of eight good images in each filter. The raw images were dark corrected. They were then averaged using the 'combine' task. The combined image was smoothed using the 'mkskycor' task and it showed a sharp gradient(figure 2). This smoothed average was subtracted from the dark corrected object frames. The images were then flat fielded and added to get combined image in each filter. Though the gradient was not completely removed, the images looked much flatter than before. They had to be block-averaged to see if the galaxy was visible. A sample 30s image in Hα filter is shown in figure3. Even after these reductions the final continuum subtracted image was blank. Since no HII regions were visible this image could not be used to measure the flux. The noise in the final image was calculated and was used to find an upper limit on flux from star forming regions at 2&sig2; and 3&sig2; detection levels. Considering the effect of block-averaging, the noise in the final image was found to be 16.92/pix.


Figure 2. The smoothed average of eight combined Hα images. The raw images in each filter were dark corrected and combined into a single image. The resultant is smoothed to obtain the gradient. Blank sky images were not available, so the images used for combining and finding the smoothed average were the eight good images.


Figure 3. A 30s exposure in Hα after subtracting the smoothed average from the dark corrected image. The image is block averaged into 4 x 4 pixels.

The instrumental flux was calculated using observations of M57 at two different airmasses, and the published value for M57 flux (9.114 x 10-10erg s-1 cm-2), measured in a 100" aperture at an airmass of 1(Lame & Pogge 1994).

4. Results

In this section I will discuss the method used to find the star formation rate from Hα observations, and the analysis of the data to find an upper limit for the star formation rate.

HI gas surrounding the hot, young stars is photoionized by the UV continuum shortward of the Lyman limit (912 A°). All the HI gas is ionized if the nebula is optically thick. These ionizations are balanced by the total number of recombinations per unit time (Osterbrock 1989).

. . . . . . .(1)

Q(H) is the total number of ionizing photons and Lν is the luminosity of star per unit frequency interval. The luminosity in a particular frequency interval (Hα) for case B recombination is (In case B recombination any photon emitted in n2P to 12S transition is immediately absorbed by neighbouring Hydrogen atoms, and the downward radiative transitions to 12S are not considered)

. . . . .(2)

where αB and αeffHα are the recombination coefficients, with (Seaton 1959).

Thus the luminosity in Hα is proportional to the number of ionizing photons and can be used to calculate the star formation rate. Assuming a Salpeter initial mass function (IMF) of 0.1-100&solarmass;, the SFR is given by

. . . . (3)

The significant contribution to Hα emission comes from high mass stars (M > 10&solarmass;) with lifetimes < 20Myr. Therefore the SFR measured from Hα is independent of the early history of the galaxy.
Figure 4. Combined image in Hα.


Figure 5. Combined image in H continuum.


Figure 6. Continuum subtracted image of M51.

No HII regions are visible.


Figures 4 and 5 show the Hα and H continuum images; and figure 6 shows the continuum subtracted image. I could not measure the Hα luminosity, as the galaxy was not visible in the image.The data was instead used to estimate an upper limit on the flux at detection levels of 2&sig2; and 3&sig2;. Assuming that the HII regions appear as point sources with PSF FWHM of 8 pixels or 5.6", the noise in an individual HII region image is, N/pix from blank sky multiplied by the square root of numer of pixels in the point source image. This was calculated to be 239.91 counts. For a detection limit of 2&sig2; the signal should be 239.91 x 2 = 479.82 counts. Using the instrumental magnitude, the upper limit for the flux is 7.342 x 10-13erg s-1 cm-2. The Hα emission line is redshifted by 10 Ao, where the transmitivity of the filter is 68%. Therefore the rest frame Hα flux is 1.0797 x 10-12erg s-1 cm-2, corrosponding to a luminosity of ~1039.8erg s-1. Thus equation(3) gives an upper limit of 0.0098α for the star formation rate in a single HII region. A similar calculation at 3&sig2; significance gives an upper limit on the luminosity as 1.035 x 1040erg s-1 and an upper limit on the SFR as 0.0147 α. Figure 7 shows the HII region luminosity function of M51(Rand 1992). The upper limits on Hα
the luminosity are consistent with the published results.


Figure 7 HII region luminosity function of M51.

(* :Rand 1992; o:Kennicutt et. al.1989)

(Rand 1992)


5. Discussion

Hα observations of M51 were performed. Though the data were inadequate to measure the luminosity from individual HII regions the upper limit on luminosity was obtained. This upper limit is consistent with the published values of individual HII region luminosities (Kennicutt et. al.1989, Rand 1992) to a detection limit of 2&sig2; and 3&sig2;. The upper limits on single HII region luminosities and the corrosponding star formation rates are found to be L(Hα
) ~ 1039.8erg s-1, SFR = 0.0098 &m_per_yr; significant at 2&sig2; and L(Hα
)= 1.035 x 1040erg s-1, SFR = 0.0147α significant at 3&sig2;. I could not find published values of star formation rates in single HII regions.

From figure 7 the luminosity function of HII regions peaks at 2.511 x 1037erg s-1. The S/N needed to detect a single HII region at this luminosity is zero. So it is not possible to detect single HII regions at this luminosity with our equipment. If conditions had been photometric for the eight good images it would have been possible to detect HII regions with L(Hα) = 1039erg s-1, S/N = 1.97 to L(Hα) = 1039.6erg s-1, S/N = 7.6. This corrosponds to a total of 18 HII regions. Also, 25 X 30s exposures in photometric conditions would have allowed detection of 72 HII regions down to a luminosity of 1038.6erg s-1 and S/N = 2.

The noise in a single HII region image would be 239.91 counts as explained in the earlier section. The estimated counts in the brightest HII region with a luminosity of 1039.6erg s-1 are 267. This gives a S/N of 1.1, which is very marginal to detect. This is most likely reason for not being able to detect any HII regions. If conditions were photometric the S/N would have been higher giving a possibility of the detection. To have some detection (say S/N = 3) in these conditions, the required exposure time would have been 7 x 163S exposures.

6. Acknowledgements

I thank the TAC committee(Tom Statler, Joe Shields, Robert Salow, Anca Constantin, Dan Wik and my classmates) for their helpful comments on my proposal. Many thanks to the course instructor Tom Statler for helping with data reduction process and interpreting the results throughout the project. Thanks to Joe Shields, Anca Constantin, Robert Salow, Ryan Russell, Dan Wik for discussions about the project and help with IRAF, to Andreas Weichselbaum for explaining HTML writing. Thanks to George Eberts for letting us use his premises and his hospitality on a cold observing night.

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