The Astrophysical Journal, 548:681-693, 2001 February 20
© 2001. The American Astronomical Society. All rights reserved. Printed in U.S.A.

 

A Comparison of Ultraviolet Imaging Telescope Far-Ultraviolet and Hα Star Formation Rates

Eric F. Bell and Robert C. Kennicutt, Jr.
Steward Observatory, University of Arizona, 933 North Cherry Avenue, Tucson, AZ 85721; ebell@as.arizona.edu, robk@as.arizona.edu

Received 2000 August 10; accepted 2000 October 18

ABSTRACT

We have used archival ultraviolet (UV) imaging of 50 nearby star-forming galaxies obtained with the Ultraviolet Imaging Telescope (UIT) to derive integrated near-UV and far-UV magnitudes, and have combined these data with Hα, far-infrared, and thermal radio continuum measurements to explore the consistency of UV and Hα star formation rates (SFRs). In agreement with previous studies, we find that the UV and Hα SFRs are qualitatively consistent, even before corrections for extinction are applied. The uncorrected UV SFRs are systematically lower by a factor of 1.5 (with a factor of 2 scatter) among luminous galaxies with SFR ≳ 1 M⊙ yr-1, indicating a higher effective attenuation of the far-UV radiation. Among less luminous galaxies there is no significant offset between the Hα and far-UV SFR scales. This behavior is consistent with that of higher redshift samples observed by Sullivan et al., Glazebrook et al., and Yan et al. for comparable ranges of galaxy luminosities and absolute SFRs. Far-infrared and thermal radio continuum data available for a subset of our sample allow us to estimate the attenuation in the UV and at Hα independently. The UV and Hα attenuations appear to be correlated, and confirm systematically higher attenuations in the UV. Although the galaxies in our sample show modest levels of attenuation (with median values of 0.9 mag at Hα and 1.4 mag at 1550 Å), the range across the sample is large, ∼4 mag for Hα and ≳5 mag in the far-UV (1550 Å). This indicates that the application of a single characteristic extinction correction to Hα or UV SFRs is only realistic for large, well-defined and well-studied galaxy samples, and that extinction bias may be important for UV or emission-line–selected samples of star-forming galaxies.

Subject headings: dust, extinction; galaxies: evolution; galaxies: general; galaxies: photometry; galaxies: stellar content; ultraviolet: galaxies

On-line material: machine-readable tables

1. INTRODUCTION

     Until recently, most of our information about the systematic behavior of star formation rates (SFRs) in normal nearby galaxies has been based on measurements of the Hα emission line (e.g., Kennicutt & Kent 1983; Gallego et al. 1995). In contrast, SFRs for z > 1 galaxies are primarily based on observations of the redshifted ultraviolet (UV) continuum (e.g., Madau, Pozzetti, & Dickinson 1998; Steidel et al. 1999). Comparable UV observations for nearby galaxies are being accumulated (e.g., Donas et al. 1987; Tresse & Maddox 1998; Buat et al. 1999; Sullivan et al. 2000), and these have made it possible to derive the cosmic evolution of the volume-averaged SFR in a self-consistent manner. However, questions remain about the systematic accuracy of the UV-derived SFRs, in terms of both the absolute SFR scale and possible redshift-dependent biases in that scale. Similar questions also apply to the Hα-based SFRs, and with the extension of this technique to high-redshift galaxies by several groups (e.g., Glazebrook et al. 1999; Yan et al. 1999; Moorcroft et al. 2000) it is important to understand the limitations of this technique as well.

     Although Hα and UV measurements are now available for samples of hundreds of galaxies in each case, there have been only a few direct comparisons of the respective SFRs for galaxies in common. Comparisons of three samples of high-redshift galaxies (z = 0.7–2.2) by Glazebrook et al. (1999), Yan et al. (1999), and Moorcroft et al. (2001) show that the uncorrected Hα fluxes yield SFRs that are ∼3 times higher than derived from the 2800 Å UV flux. The simplest explanation for this difference would be a systematically higher extinction in the UV. However, similar comparisons using nearby samples present a less clear picture. Buat, Donas, & Deharveng (1987) and Buat (1992) compared balloon-based UV and ground-based Hα measurements of small samples of galaxies and found a general consistency between the extinction-corrected SFR scales. Furthermore, Buat & Xu (1996) estimated UV extinctions for a large sample of star-forming spirals and estimated typical extinctions that are comparable to or lower than those at Hα. The most comprehensive comparison to date of UV and Hα-based SFRs was carried out by Sullivan et al. (2000), who analyzed balloon-based UV (2000 Å) and Hα fluxes for 273 galaxies in the redshift range 0 < z < 0.5. The galaxies in this sample span nearly 4 orders of magnitude in SFR, ranging from dwarfs to massive spirals; many galaxies are undergoing intense star formation bursts. Although they observed a strong correlation between UV and Hα-derived SFRs, they also found that the UV/Hα flux ratio decreases significantly with increasing SFR. In low-SFR systems, the UV fluxes consistently yield higher SFRs than Hα, while the reverse is true for galaxies with the highest SFRs. They attribute most of the differences to rapid variability in the SFR over the lifetimes of the starbursts.

     These results underscore the need for a complementary comparison of UV and Hα SFRs for a sample of well-resolved nearby galaxies with a fuller range of star formation histories. In this paper we primarily compare far-UV (FUV) and Hα SFRs for a sample of 50 nearby star-forming galaxies imaged using the Ultraviolet Imaging Telescope (UIT; Stecher et al. 1997). This sample is much smaller than that studied by Sullivan et al. (2000), but it has several advantages which complement the strengths of their study. The UIT sample is far from complete: rather, it was selected to span a full range of morphological types, luminosities, SFRs, and star formation properties, with the bulk of the sample composed of high-luminosity spiral galaxies. This virtually eliminates the problem of rapidly variable SFRs that are important when analyzing starburst galaxy samples, and allows us to compare the zero points of the UV and Hα-based SFR scales on a self-consistent basis. Another advantage of this sample is the availability of truly integrated UV and Hα fluxes, which eliminates any possible effects of aperture undersampling at Hα.

     This paper concentrates on a comparison of the integrated fluxes and SFRs of the UIT/Hα sample. Our main objectives are (1) to compare the SFRs derived from FUV and Hα luminosities, with and without corrections for dust attenuation; (2) to compare the behavior of our UV/Hα SFRs with those derived for other samples at low and high redshift; and (3) to obtain insight into the amount of attenuation suffered by FUV and Hα in this sample of star-forming galaxies. Future papers will compare the UV and emission-line properties of individual star-forming regions in these galaxies.

     In this paper we follow the convention of Gordon et al. (2000) in using the term "attenuation" to refer to the net loss of radiation from a galaxy at a given wavelength. For a point source such as a star, this would be the equivalent to the extinction (itself a combination of dust absorption and scattering), but for a galaxy the radiation reaching the observer is the result of a complicated radiative transfer across multiple lines of sight, with enormous variations in local optical depth. In the specific context of this paper it will generally refer to the correction factor that must be applied to the observed integrated UV or Hα flux to derive the actual SFR due to the effects of interstellar dust (and exclusive of other physical effects, such as escape of ionizing photons from a galaxy, etc.).

     The remainder of the paper is organized as follows. In § 2, we present the data: near-UV (NUV) and FUV magnitudes, Hα line luminosities, far-infrared (FIR) luminosities, and thermal radio continuum fluxes at 1.4 GHz. We also present the SFR calibrations for Hα and FUV luminosities. In § 3, we compare the raw Hα and FUV SFRs, and interpret the discrepancies in terms of variations in star formation histories and differences in dust attenuation. In § 4, we examine the role of attenuation in more detail. Finally, in § 5, we present our conclusions.

2. DATA

     Our analysis is primarily based on a sample of 50 nearby star-forming galaxies imaged in the FUV by the UIT. The UIT provides well-resolved (FWHM ∼ 3′′), wide-field (field radius ∼40&arcmin;) images in both the NUV and FUV. This spatial resolution is useful, since it allows us to evaluate the effects of local processes in determining the global FUV fluxes (e.g., Marcum et al. 2001; Kuchinski et al. 2000).

2.1. FUV Data

     The FUV data was taken from the UIT archive at the Multimission Archive at the Space Telescope Science Institute. As part of the Astro payload, the 38 cm UIT flew on two space shuttle missions in 1990 December and 1995 March. For the purposes of this analysis, we selected star-forming spiral and irregular galaxies with sizes comparable to or smaller than the UIT field size (therefore excluding the Large and Small Magellanic Clouds, M31, and M33 from our sample). We also excluded from our analysis E/S0 galaxies with no evidence of massive star formation (the UV emission in such objects is thought to arise from evolved stellar populations), and we excluded galaxies for which the bulk of the Hα emission arises from a Seyfert or LINER nucleus (e.g., NGC 2992, NGC 3227, NGC 4151). Two other galaxies, NGC 1268 and UGC 2665, were omitted from the sample because they were not detected in the FUV and no Hα, far-infrared (FIR), or radio fluxes are available in any case. Most of the sample galaxies are luminous later type spirals; the remaining galaxies are split between earlier type spirals, irregulars, and starbursting galaxies. The starbursts in this sample are relatively faint compared to those of, e.g., Calzetti et al. (1994).

     The properties of the galaxies in our sample are summarized in Table 1. Listed are the galaxy name, coordinates, type, distance, distance reference, and Galactic foreground extinction in the V band, as estimated by Schlegel, Finkbeiner, & Davis (1998). When a direct distance determination was not available, it was derived using H0 = 75 km s-1 Mpc-1. Note that most of the conclusions of this paper are distance independent, since they rely only on flux ratios; only the absolute magnitude and SFR axes in Figure 2 are affected by distance uncertainties.

Table 1   Sample Properties

     Every galaxy was imaged in at least one of the two wide FUV passbands used by the UIT, passband B1 (λeff ∼ 1521 Å; Δλ ∼ 354 Å) and passband B5 (λeff ∼ 1615 Å; Δλ ∼ 225 Å). The latter filter was used during daylight observations to exclude dayglow emission lines (Waller et al. 1995). Additional observations in the NUV from the Astro-1 mission were also analyzed when available. These were made in passband A1 (λeff ∼ 2488 Å; Δλ ∼ 1147 Å). Table 2 lists the filters and exposure times for the specific observations that were analyzed in this paper. We usually chose the longest exposure images with the best signal-to-noise ratio, with exposure times ranging between ∼250 and ∼1500 s.

Table 2   UV Exposure Times

     The UIT imaged galaxies using an image intensifier, recording the images on photographic film. The images have been linearized, flat-fielded, flux-calibrated, and distortion-corrected (the e versions of the images). Where possible, we used images that were also astrometrically aligned (the g versions of the images); however, either version of the images produces identical results. Before performing photometry, we manually removed any foreground or background objects, or instrumental artifacts such as scratches or cosmic ray hits. A small subset of the images also contained low-level "stripes," and these were removed by fitting a Gaussian function to the profile of the stripe (cf. Kuchinski et al. 2000). Any residuals from this fitting process were found to be comparable to or weaker than variations in the background photographic fog level, and thus they did not contribute significantly to the overall error budget. We refer the reader to Stecher et al. (1997) for more details on the UIT data products.

     Integrated fluxes for the galaxies were measured from the calibrated images, using the IRAF1 task phot. Magnitudes were calculated assuming



where f is the flux in ergs s-1 cm-2 Å-1 (Stecher et al. 1997). The sky level was estimated using an annulus around the galaxy, or in the case of galaxies that were large enough to fill a significant portion of the frame, using boxes in areas that were free of galaxy emission. Our raw FUV and NUV magnitudes are presented in Table 3, along with the aperture used to determine the magnitudes.

Table 3   Ultraviolet Magnitudes

     The errors in these magnitudes are dominated by uncertainties in measuring the background level of the images. These uncertainties were estimated by performing photometry on blank areas of the program image using the same sized apertures as for the galaxy, or in the case of large galaxies, by using the dispersion in the average sky levels measured in 20 × 20 pixel (22&farcs;4 × 22&farcs;4) boxes, in order to measure the background variation on different spatial scales. The scaling factors between these dispersions and the error in the aperture photometry were derived empirically from cases for which both were available. These were found to be larger than expected from Poisson statistics by approximately a factor of 4, indicating that the errors are correlated on large spatial scales (not unexpected, given the nonlinear nature of the photographic detector used with UIT). This algorithm reproduces the errors in the blank-sky aperture photometry to better than a factor of 2, over a large range of aperture area. Other sources of error, including pixel-to-pixel noise, imperfect masking of foreground and background objects, or cosmetic feature residuals are much smaller than the error in the background fitting discussed above.

     We devoted a considerable effort to testing for errors due to nonlinearity in the calibrated data. Our tests show that any residual nonlinearity at high surface brightness is unimportant for the images used in our analysis. However, comparisons of long- and short-exposure images of the same fields show a significant nonlinearity a faint levels, with discrepancies of ∼20% at exposure levels lower than 50 ADU (Stecher et al. 1997). Our own tests confirmed this effect, but we also found a significant variation in the magnitude of the nonlinearity within the data set; therefore, we cannot derive an appropriate correction for this effect. The net effect of the nonlinearity is to underestimate the total flux in short-exposure images by up to 0.2 mag when compared to long-exposure images. We avoided this problem by not using the short-exposure images in our analysis. However, the same effect, if present, would also cause us to underestimate the UV fluxes in the long-exposure images, if a significant fraction of the emission arises from low surface brightness regions. Our tests demonstrate that all but the brightest galaxies have significant contributions from these regions, and this may lead to a systematic underestimate of the UV fluxes, by between 0.1 and 0.2 mag.

     We have compared our photometry with published FUV data. We constructed a weighted average of the B1 and B5 magnitudes (where available), and adopted this as a representative FUV magnitude. As a check of our internal accuracy, we have compared our magnitudes with those derived from the same images by Waller et al. (1997). The mean zero points of the two sets of magnitudes are identical, with a median difference from galaxy to galaxy of 0.14 mag. The rms difference is substantially larger (0.44 mag), but when two highly discrepant galaxies are excluded, the rms deviation is 0.24 mag. We believe that the differences largely reflect the careful background fitting in our analysis, although the typical estimated uncertainties in our UV magnitudes are still larger than ±0.1 mag.

     In Figure 1 we compare our magnitudes with independently measured FUV magnitudes from other instruments: OAO 2 (1650 Å; Code & Welch 1982), FAUST (1550 Å; Deharveng et al. 1994), SCAP (2000 Å; Donas et al. 1987), and FOCA (2000 Å; Donas et al. 1990). We have also compared our magnitudes with "total" extrapolated FUV magnitudes from Rifatto, Longo, & Capaccioli (1995). In summary, we find reasonable agreement with the raw magnitudes from the literature, but with a mean offset of -0.23 ± 0.07 mag (excluding NGC 3034, which is very faint in the FUV and has a steep UV spectrum, due to strong extinction effects, so the comparison for NGC 3034 is highly passband dependent). We believe that the offset, which is significant at the 3 σ level, is due primarily to aperture effects in the published magnitudes, many of which were derived from apertures smaller than or comparable to the galaxy sizes (Rifatto et al. 1995). This interpretation is supported by our comparison with the "total" extrapolated magnitudes of Rifatto et al. (1995). We find good agreement between most of their magnitudes and ours, with a standard deviation of ∼0.2 mag and no offset. We do find, however, that some of the largest galaxies in our sample have FUV magnitudes that strongly differ (by up to 2.5 mag) from those of Rifatto et al. (1995). However, almost all of those cases involved very large extrapolations of IUE fluxes (measured in 10′′ × 20′′ apertures) to "total" magnitudes in the Rifatto et al. database. This underscores the need to exercise extreme care when applying UV data from the literature. In summary, we find that our magnitudes are accurate to ∼0.2–0.4 mag, with no significant offset from the literature calibrations, once aperture effects have been taken into account.


Fig. 1   Comparison of our total FUV UIT magnitudes with total FUV magnitudes from the literature, assuming a common zero point of -21.1. We compare with the magnitudes from 4 UV telescopes: OAO (filled circles), FAUST (open squares), and SCAP and FOCA (asterisks). We also compare with the extrapolated "total" FUV magnitudes of Rifatto et al. (1995; open diamonds). NGC 3034 (M82) is indicated separately: because it is so highly reddened, its FUV flux is highly passband-dependent.

     The FUV magnitudes in Table 3 are used later to calculate SFRs. The latter are calibrated in terms of luminosity per unit frequency, so we converted the FUV absolute magnitudes (which are based on Fλ) to Fν, assuming an effective wavelength for the B1 and B5 filters of λeff,FUV = 1567 Å (this is accurate to better than ±6%). We corrected this flux for Galactic extinction following Schlegel et al. (1998), and adopting the Galactic extinction curve of Gordon, Calzetti, & Witt (1997).

     Later, to increase the galaxy sample size, we include 33 galaxies observed by the balloon-based FAUST telescope (Deharveng et al. 1994) at 1650 Å with existing literature Hα fluxes. These data have somewhat larger FUV uncertainties, and are subject to modest aperture effects. These data are not a primary focus of this paper (so they are not included in the tables of galaxies), but are simply included to confirm the trends observed with the UIT galaxies with an independent sample of galaxies.

     1 IRAF is distributed by the National Optical Astronomy Observatories, which are operated by the Association of Universities for Research in Astronomy, Inc., under cooperative agreement with the National Science Foundation.

2.2. Hα, Radio Continuum, and Far-Infrared Data

     The primary goal of this paper is to compare FUV and Hα SFRs and explore the effects of dust on both of these indicators. Consequently, we compiled measurements of the integrated fluxes of the galaxies in Hα, radio continuum, and FIR (as a probe of dust content). The data, as discussed below, are listed in Table 4. The table also lists total absolute V magnitudes and the sources of the Hα, radio, and FIR data. The V magnitudes and the Hα fluxes have been corrected for Galactic extinction following Schlegel et al. (1998).

Table 4   Luminosities: Star Formation Indicators

     The Hα fluxes come from a wide variety of sources in the literature. In many cases more than one source was available, and in these cases a weighted average was derived, with double weight given to fluxes derived from CCD imaging (as opposed to photoelectric aperture photometry). A few of the fluxes were measured from unpublished CCD imaging obtained by the authors, and are published here for the first time. These images have been flux-calibrated and were continuum-subtracted using scaled narrowband continuum images. Some of the data were obtained with narrowband filters, which included only the Hα line, but most were obtained with broader filters, which also included the [N II] λλ6548, 6583 lines. In many cases, the average [N II]/Hα flux ratio has been measured from published H II region spectrophotometry, or from integrated spectra of the galaxies (Kennicutt 1992). Otherwise, for 40% of the galaxies, the Hα + [N ] fluxes have been corrected for contamination by the [N ] λ6583 line following the prescription of Kennicutt (1983). Total fluxes were multiplied by a factor of 0.75 for spirals and 0.93 for types Sm and later. Note that use of this correction is a conservative assumption; adopting a constant [N II] fraction would serve to enhance the trend in the Hα to FUV ratio that we explore in § 3.

     In § 4, we also use the thermal radio continuum from a subset of our sample of galaxies to investigate the behavior of the attenuation at Hα. The integrated radio-continuum flux of a galaxy is a typically a combination of nonthermal radio emission from cosmic-ray electrons and supernova remnants (typically with a steep spectral index, roughly Sν ∝ ν-0.8) and thermal bremsstrahlung emission from electrons in ionized gas (with a much shallower spectral index, Sν ∝ ν-0.1). Unfortunately, the nonthermal component is dominant at centimeter wavelengths, typically accounting for more than 90% of the total flux at 1.4 GHz (Condon 1992; Niklas, Klein, & Wielebinski 1997). Consequently, the thermal fraction can only be measured by obtaining matched-beam multifrequency observations, fitting the nonthermal spectrum at low frequencies, and extracting the (small) thermal component. Reliable data are only available for a small sample of galaxies, and for fewer yet among our sample. For our analysis, we have derived thermal radio fluxes at 1.4 GHz, using thermal fractions at 1 GHz derived by Niklas et al. (1997) in conjunction with the radio luminosities from the literature. Niklas et al. (1997) carefully decomposed the thermal and nonthermal components of the radio spectra of 74 galaxies with radio fluxes at a minimum of four frequencies using a two-component fit. This sample includes 13 galaxies in common with our sample, with thermal fractions significant at better than 1 σ. We have added a thermal fraction at 1.465 GHz for DDO 50 from Tongue & Westpfahl (1995), a thermal fraction at 4.9 GHz for NGC 925 from Duric, Bourneuf, & Gregory (1988), and a thermal flux at 92 GHz for M82 taken from Carlstrom & Kronberg (1991) and discussed at length in Condon (1992). Total radio-continuum fluxes for our sample with thermal fractions were available between 1.4 and 1.5 GHz; we translated these fluxes to a 1.4 GHz flux using a typical spectrum for a nonthermal continuum dominated source (Sν ∝ ν-0.8).

     FIR fluxes from the Infrared Astronomical Satellite (IRAS) have been compiled and translated into total 8–1000 μm fluxes using the method of Gordon et al. (2000). The 12, 25, 60, and 100 μm fluxes were numerically integrated to provide an estimate of the 8–120 μm flux. The 60 and 100 μm fluxes were then used to define a dust temperature for a β = 1 dust emissivity model to extrapolate to 1000 μm. The total IR flux determined in this way is typically 1.9 ± 0.4 times larger than the FIR estimator of Helou, Soifer, & Rowan-Robinson (1985), which was designed to measure the bulk of the FIR flux from a galaxy (the range in the ratio of total IR to FIR estimator is 0.8–3.3).

     The FUV, Hα, thermal radio, and FIR fluxes were translated into total luminosities and powers using the distances listed in Table 1. These luminosities, along with the absolute V-band magnitude, are presented in Table 4. The typical uncertainties in the Hα and FIR luminosities are ±20%. The uncertainties in the thermal radio powers are more variable and usually larger: the radio errors listed in Table 4 are derived directly from the quoted errors in the thermal fractions.

2.3. SFR Calibrations

     Before comparing the SFRs derived from FUV and Hα, we must first translate the galaxy luminosities into SFRs using the appropriate conversions. In this paper we adopt the calibrations of Kennicutt (1998) for the FUV and Hα SFRs:







     For the purposes of this analysis, the absolute SFR scales are less important than adopting a consistent set of calibrations for the two different methods. Both calibrations assume a Salpeter (1955) initial mass function (IMF) between 0.1 and 100 M⊙. The overall absolute SFR scale does depend on the IMF (at a factor of a few level at most for plausible IMFs), but the important point is that the relative comparison of Hα and FUV SFRs is quite robust. The Hα and FUV luminosities at a given age depend primarily on the shape of the upper IMF over a modest range in mass and are independent of the shape of the lower mass end of the IMF. For realistic ranges of upper IMF slopes, the Hα to FUV ratio should not vary by more than ∼30% (e.g., Glazebrook et al. 1999).

     The Hα line provides a virtually instantaneous measure of the SFR, since the dominant ionizing population consists of OB stars with lifetimes of <10 Myr. However, the stars contributing to the luminosity of a galaxy at 1550 Å cover a much wider range of ages, so the SFR calibration must explicitly assume a SFR history over the past 100 Myr or longer. The calibration in equation (2) assumes continuous star formation over timescales in excess of 100 Myr, an approximation that is most appropriate for a large galaxy with essentially constant star formation when averaged over the entire disk. However, this conversion is reasonably robust to variations in the recent star formation history, as long as it has been reasonably continuous when averaged over periods of tens of Myr. For more discussion of the calibrations and their uncertainties, see Kennicutt (1998).

3. COMPARISON OF UNCORRECTED STAR FORMATION RATES

     We first compare the FUV and Hα SFRs, uncorrected for extinction, in Figure 2. Figure 2a compares the FUV and Hα SFRs directly for 39 of the 50 UIT galaxies (filled circles) and for 33 galaxies observed using FAUST (Deharveng et al. 1994) with Hα data from the literature (open circles). In addition, data for a sample of 107 FUV selected galaxies with 0 < z < 0.5 from Sullivan et al. (2000) are shown by crosses. These galaxies are not included explicitly in the following quantitative discussion, and are plotted only to allow later comparison between our study and that of Sullivan et al. (2000). Figure 2b displays the Hα to FUV SFR ratio as a function of V-band absolute magnitude for the UIT and FAUST data (filled and open circles, respectively). A few UIT galaxies have only upper-limit FUV fluxes, and they are denoted by arrows in the figure. The solid line in both panels corresponds to equal UV and Hα SFRs, using the calibrations in equations (2) and (3), respectively. The first clear result is that uncorrected Hα and FUV SFRs are qualitatively consistent with each other over 3.5 orders of magnitude in the SFR and nearly 2 orders of magnitude in V-band luminosity. With the exception of NGC 3034 (M82), the Hα and FUV SFRs for the UIT and FAUST data are generally consistent, with an average offset of 0.08 ± 0.04 dex, in the sense that the Hα SFRs are ∼20% higher than the UV-derived SFRs on average. The rms dispersion is 0.28 dex (a factor of 1.9), significantly higher than would be expected from the uncertainties in the individual SFRs.


Fig. 2   Comparison of uncorrected FUV and Hα SFRs. (a) Direct comparison of FUV and Hα SFRs for UIT galaxies (filled circles), FAUST galaxies (open circles), and FUV-selected galaxies from Sullivan et al. (2000; crosses). (b) Hα to FUV SFR ratio as a function of absolute magnitude. Arrows denote FUV upper limits, and the solid lines denote equal SFRs, if the calibrations in eqs. (2) and (3) are used. Filled squares denote the mean ratios for galaxies in two luminosity ranges, as described in the text. The dotted line shows the best fit to the variation of Hα to FUV SFR ratio with absolute magnitude (dotted line). The dashed line denotes the expected trend in the Hα-to-FUV SFR ratio (arbitrarily normalized to zero at MV = -20) expected from metallicity effects alone (Zaritsky et al. 1994; Sullivan et al. 2000).

     Figure 2 also shows a significant trend in the ratio of Hα to FUV SFRs with absolute magnitude. Although our sample is small, a Spearman rank correlation test shows that the departure is significant at greater than the 99.9% level. If we divide the sample at MV = -20, the Hα to FUV ratio for the lower luminosity galaxies is -0.10 ± 0.05 dex, as compared to +0.18 ± 0.04 dex for the more luminous subsample. This corresponds to a difference (between the lower and higher luminosity galaxies) of a factor of 2.

     This systematic change in the Hα/FUV SFR ratio with SFR and galaxy luminosity is qualitatively consistent with the previous findings of Sullivan et al. (2000), and our results provide additional insights into the origin of this effect. The FUV and Hα data analyzed by Sullivan et al. (2000) were obtained with mismatched apertures, and the authors expressed some concern that aperture sampling effects might account for part of the trend in the Hα/FUV ratio. However, our data are largely free of aperture bias, and we observe a qualitatively similar trend in the Hα/FUV SFR ratio (Fig. 2a), which argues for a physical origin for the trend.

     However, our results do differ from those of Sullivan et al. (2000) in a few respects. The uncorrected FUV SFRs of low SFR galaxies from Sullivan et al. (2000) are larger than the raw Hα SFRs by factors of a few: this led Sullivan et al. (2000) to the conclusion that the effects of bursts in SFR dominate their data. The Hα emission traces the SFR over the past 5–10 Myr, whereas the UV flux reflects a weighted average of the SFR over the past ∼100 Myr. If the evolution of a dwarf galaxy is characterized by brief bursts (duration ≪100 Myr) separated by relatively long quiescent periods, then one will tend to observe most of the galaxies between bursts, when the Hα luminosity will yield a systematically lower SFR relative to the UV emission. This effect is not seen at a significant level in our sample. It is likely that the differing behaviors of the samples is due to the different selection criteria. Sullivan et al. (2000) selected galaxies in the FUV (favoring galaxies with increased present-day SFRs). On the other hand, the UIT imaged a sample of well-known, often optically bright galaxies (optical selection would weight recent star formation less). Because the UIT selection is relatively ill-defined, we do not attempt to quantitatively address the different selection biases between the UIT sample and that of Sullivan et al. (2000); however, it is clear that FUV selection would favor the inclusion of a large population of preferentially UV-bright starbursting galaxies. Another possibility is that modest evolution takes place between 0 < z < 0.5 in the lowest SFR galaxies only (e.g., Broadhurst, Ellis, & Shanks 1988; Lilly 1993). Metallicity effects on the Hα and FUV emission of the stars are unlikely to account for any of the trend. More luminous galaxies tend to possess systematically higher metal abundances (Zaritsky, Kennicutt, & Huchra 1994); but, as Sullivan et al. (2000) discuss, the models of Leitherer et al. (1999) show that higher abundances tend to reduce the ionizing luminosity relative to the FUV brightness (Fig. 2, dashed line), contrary to the trend observed in Figure 2.

     In low-luminosity galaxies, the uncorrected UV-based SFRs are systematically higher than those measured from Hα by 25% ± 12%. If this were to be explained by differential extinction effects, it would require a lower attenuation of the UV radiation relative to Hα, a counterintuitive result made all the more unlikely by the generally low extinctions observed in most dwarf galaxies. As mentioned earlier, Sullivan et al. (2000) suggested that the higher UV/Hα ratios are due to temporal variations in the SFR in these low-luminosity galaxies. This scenario fits in well with observations of dwarf galaxy star formation histories, which suggest large variations in the SFR over the galaxy's lifetime (e.g., Dohm-Palmer et al. 1997; Tolstoy et al. 1998). Although our sample is far too small to test the scenario directly, it provides a plausible explanation for our observations as well. However, note that it is difficult to rule out inconsistencies in the SFR calibration at this level (e.g., § 2.3 of Kennicutt 1998).

     In higher luminosity galaxies the trend is reversed, i.e., the uncorrected Hα luminosities yield SFRs that are on average 50% larger than those derived from the uncorrected FUV fluxes. Sullivan et al. (2000) also observed this trend, attributing it to temporal effects, in this case postulating that the most luminous Hα-emitting galaxies are preferentially observed at the peak of the starburst, when the Hα luminosity is expected to yield a systematically higher SFR (see also Glazebrook et al. 1999). However, we observe the same excess Hα emission (relative to UV) in a sample that is dominated by normal star-forming disk galaxies, with no evidence for current or recent starbursts. This implies that temporal variations in SFRs cannot account for the inconsistency in SFRs, at least not in our sample, and instead we tentatively attribute the difference to higher attenuation of the FUV emission relative to Hα (as suggested by, e.g., Glazebrook et al. 1999; Yan et al. 1999; Moorcroft et al. 2001). In § 4 we compare the FUV and Hα attenuations directly and confirm this tentative conclusion. Although temporal effects may play a role in accounting for the systematic difference in Hα and FUV SFRs observed in high-redshift galaxies, our results strongly suggest that dust extinction effects should not be ruled out.

4. EFFECTS OF DUST ATTENUATION

     Dust attenuation strongly affects the optical and UV radiation from star-forming galaxies, as evidenced by the large fractional FIR luminosities of most spiral galaxies (Xu & Buat 1995), by the substantial reddenings of the Balmer lines in the brightest H II regions and in the integrated spectra of the galaxies themselves (e.g., Kennicutt 1992; Zaritsky et al. 1994; Wang & Heckman 1996), and by the observed correlations between UV spectral slope and FUV versus FIR properties of galaxies (Calzetti et al. 1994; Heckman et al. 1998; Meurer et al. 1995; Meurer, Heckman, & Calzetti 1999). In the previous section we tentatively attributed the factor of 1.5 discrepancy between uncorrected UV and Hα-derived SFRs to excess attenuation in the ultraviolet; in this section we derive direct constraints on the FUV and Hα attenuations in order to test this hypothesis. We deliberately apply some of the methods that are most commonly applied to high-redshift objects, so we can use the UIT sample to assess the reliability of these extinction-correction schemes when independent information on the SFRs is available.

4.1. Constraints on FUV Attenuation

     The most common methods that have been employed to estimate UV attenuation in external galaxies are to scale the attenuation by the mean column density of H I (or H + H2) gas (Donas & Deharveng 1984; Donas et al. 1987), or to apply an empirical correlation between the UV spectral slope, Balmer decrement, and total attenuation (e.g., Calzetti et al. 1994). More recent work on the use of column densities to predict UV attenuation shows a disappointing scatter (Buat 1992; Buat & Xu 1996), and most workers estimate the extinction corrections using the spectral slope method. We have used the empirical attenuation curve determined for a sample of 39 starburst galaxies by Calzetti, Kinney, & Storchi-Bergmann (1994) to derive approximate FUV attenuation corrections for our sample.

     The Calzetti et al. (1994) method effectively uses an empirically determined extinction law to relate the attenuation at a given wavelength to the slope of the UV spectral energy distribution. In order to measure the spectral slopes of our galaxies, we measured the NUV magnitudes of a subsample of 15 galaxies (13 of which also have FUV magnitudes) that were observed using Astro-1. We then used the FUV and NUV magnitudes of these 13 galaxies to determine the slope of their UV continuum β, following Calzetti et al. We have then applied their method to determine the FUV attenuation at 1567 Å, AFUV,



where kλ = 8.66 at 1567 Å (Calzetti et al. 1994).

     Although this analysis allows us to characterize the approximate FUV extinction properties of our (sub)sample, the derived attenuations are very sensitive to small errors in the FUV–NUV colors, and hence the values derived for individual objects are not very meaningful. Another concern is that the relation given above was determined using small-aperture observations of a sample of UV-bright starburst galaxies, and it may not be entirely appropriate for normal star-forming galaxies over a wide range in mass and SFR. In particular, Witt & Gordon (2000) show that FUV color-based extinction estimates are strongly sensitive to the shape of the FUV extinction curve, and that Calzetti et al.'s (1994) attenuation law necessitates a SMC bar-type extinction curve (although see Granato et al. 2000 for a different viewpoint). Therefore, a FUV color-based attenuation may not be appropriate for spiral galaxies: we test this in § 4.4.

4.2. Hα Attenuation Measurements

     To calculate the attenuation at Hα (AHα), we combined our Hα fluxes with thermal radio continuum fluxes for a subset of 16 UIT and 5 FAUST galaxies with reliable radio data. The two fluxes are directly correlated, with only a weak dependence on nebular electron temperature: ΔAHα = 1.475(Te/104 K), where for a reasonable range in true H II region electron temperature, Te, from 8000 to 12,000 K, the error in the attenuation estimate is ∓0.15 mag (Condon 1992). We assume Te = 10,000 K. Following Condon (1992), we translate the thermal radio flux into an Hα luminosity via



where LHα,predicted is the predicted Hα luminosity from a given thermal radio continuum luminosity at 1.4 GHz, Lthermal.

     As is the case with the FUV attenuations derived from the β method, the Hα attenuations derived in this way are subject to large uncertainties for individual galaxies, in this case due to the errors associated with separating the nonthermal and thermal components of the radio luminosity (see § 2.2).

     One common method for estimating the attenuation at Hα is to compare the ratio of the Hα and Hβ fluxes with the theoretical value of 2.86 (at Te = 10,000 K; Caplan & Deharveng 1986). This gives the reddening between Hα and Hβ; with the assumption of an attenuation curve, it is possible to then estimate the attenuation at Hα, or indeed any other wavelength. This approach has known limitations. Generally, Balmer decrement measurements are only available for bright H II regions within the galaxies, and applying this mean extinction to the galaxy as a whole is a rough approximation at best. Moreover, the radio-derived attenuation of H II regions in the LMC are larger than those expected from the Balmer decrements using a naive screen model, indicating a grayer extinction curve (probably due to the effects of geometry; e.g., Caplan & Deharveng 1986). This method is commonly used despite its limitations, since both Hα and Hβ are easily accessible, observationally speaking, and often can even be measured off the same spectrum (thus minimizing, e.g., aperture mismatches or calibration uncertainties).

     We have constructed Hα/Hβ ratios for 16 UIT and FAUST galaxies with radio-based Hα attenuations. These were either derived from spectra of the entire galaxy (e.g., Kennicutt 1992) or are the average of published Hα/Hβ for individual H II regions. These Hα/Hβ values are converted into an attenuation estimate assuming an intrinsic Hα/Hβ of 2.86, and assuming a galactic dust screen model. We find that the Hα attenuations derived from radio data are somewhat larger on average than the Hα attenuations derived from Balmer decrements (0.2 ± 0.2 mag), with a scatter of nearly 0.8 mag. This modest offset is consistent with a grayer extinction curve, as found by Caplan & Deharveng (1986) for H II regions in the LMC. Given the modest numbers of galaxies with Balmer decrements, and bearing in mind the systematic uncertainties inherent to Balmer decrement–based attenuations, we do not consider these further, except to note that these attenuations are consistent with the radio-based values, with much scatter.

4.3. Comparison of FUV and Hα Attenuation Distributions

     We compare the FUV and Hα attenuation distributions in Figure 3 for the respective subsamples of 13 and 21 galaxies. Arrows denote the median attenuation. The two galaxies with derived AFUV > 6 mag (NGC 2551 and NGC 3034) have spectral slopes β > 0, and lie outside the calibration range of Calzetti et al. (1994).


Fig. 3   Distributions of the (a) FUV and (b) Hα attenuations for two different subsamples of 13 and 21 galaxies, respectively. Arrows mark the median attenuation.

     Figure 3 shows that the distributions of Hα and 1567 Å FUV attenuations are qualitatively similar. The median FUV attenuation is 1.4 mag, as compared to 0.9 mag for Hα. The somewhat higher FUV attenuations are consistent with the systematic offset in uncorrected SFRs discussed earlier, although the formal uncertainties in the median values are roughly ±0.3 mag in both cases, so the difference between Hα and FUV values is only marginally significant. Furthermore, these samples only have two galaxies in common (NGC 3031 and NGC 3034), so it is dangerous to draw any firm conclusions from the relative attenuation distributions.

4.4. Comparison with FIR Properties

     One interesting question is whether or not there is evidence against a single, representative attenuation for our sample of star-forming galaxies. In other words, is the spread in the attenuations in Figure 3 just a random scatter, or does the spread indicate a systematic variation in spiral galaxy attenuation? There is already ample evidence for an increase in UV attenuation with increasing FIR luminosity (e.g., Wang & Heckman 1996; Meurer et al. 1999; Buat et al. 1999). However, there has been no evidence for an increase in Hα attenuation as a function of FIR luminosity: there is evidence for increased Hα reddening (Calzetti et al. 1994; Wang & Heckman 1996) or a decreased Hα to FIR luminosity ratio with FIR luminosity (Cram et al. 1998), but no direct evidence for a change in Hα attenuation.

     To test for systematically varying attenuation in these galaxies, Figure 4 plots the color-based FUV and Hα attenuations derived above against a different indicator of UV attenuation: the FIR to FUV luminosity ratio. This ratio is subject to its own set of systematic uncertainties (e.g., the possible influence of old stellar population heating of the dust, the assumption of a flat FUV spectrum in terms of flux per unit frequency, or dust heating from ionizing FUV radiation); however, the FIR/FUV should suffice to rank galaxies roughly by the amount of UV attenuation, at the very least.


Fig. 4   Comparison of the (a) FUV and (b) Hα attenuation with FIR/FUV. Arrows in (a) denote galaxies without FIR luminosities; however, these galaxies are likely on the whole to have low FIR/FUV (and to have AFUV values that are consistent with zero in any case). Arrows in (b) denote FUV luminosity upper limits. The solid line shows the expected relationship if the FIR luminosity was produced solely by absorption of FUV radiation, and produced an attenuation at Hα half as large as that at 1567 Å. Dotted lines show the relationship if the Hα attenuation were as large (upper line) or only a quarter as large (lower line) as the FUV attenuation.

     In Figure 4, we show the 1567 Å FUV (Fig. 4a) and Hα (Fig. 4b) attenuations against FIR/FUV. The solid line denotes the expected relationship if the FIR luminosity were produced solely by absorption of FUV radiation, and if the attenuation at Hα were half as large as that at 1567 Å. Dotted lines denote the relationship if the Hα attenuation were as large (upper line) or only a quarter as large (lower line) as the FUV attenuation. In Figure 4a, we can see that the evidence for a correlation between the UV spectral slope–based attenuation and FIR/FUV is inconclusive. This may indicate that while β for spiral galaxies might give a rough measure of the FUV attenuation, it might not be accurate on a case-by-case basis (perhaps due to variation in the shape of the FUV attenuation curves). However, only 6 of the 13 galaxies have both accurate AFUV and FIR/FUV values; five galaxies lack significant FIR detections [we plot these galaxies with (FIR/FUV) ∼ -1, since they are likely to have reasonably low FIR/FUV], and the other two galaxies have UV spectral slopes outside the calibration range of Calzetti et al. (1994). Clearly, more NUV and FUV magnitudes of a larger sample of galaxies are required to properly address this question with any degree of certainty.

     In contrast, the Hα attenuations (Fig. 4b; determined from the Hα to thermal radio continuum ratio, for galaxies in which the thermal radio was detected at better than 1 σ) appear to correlate more strongly with FIR/FUV. Somewhat surprisingly, the solid line, which denotes the relationship between attenuation and FIR/FUV (assuming that the Hα attenuation is half that in the FUV, and assuming that FIR/FUV is essentially a FUV attenuation indicator for this sample) describes the data rather well. This should be taken with some caution, since there is likely a contribution to the dust heating from older stellar populations (or absorption of the ionizing continuum before it can ionize hydrogen in H II regions), which would add scatter and/or a systematic bias to this comparison.

     Despite the modest sample size, the correlation between AHα and FIR/FUV dispels the notion of a constant Hα attenuation: there is a large range of attenuations in star-forming galaxies, and the Hα and UV attenuation in a given galaxy are at least loosely correlated. Furthermore, the range in Hα attenuations is at least 4 mag in our sample of galaxies, indicating that emission-line–based SFR estimates of very highly obscured galaxies may be up to 1 or 2 orders of magnitude lower than the true SFRs. The UV is affected by more attenuation, and the problem may be even more severe for the UV-based SFRs of highly obscured galaxies. This scenario is qualitatively consistent with that outlined by, e.g., Buat et al. (1999), Wang & Heckman (1996), or Heckman et al. (1998), where more massive, higher SFR galaxies have more attenuation. This would explain the factor of 1.5 offset between Hα and FUV SFRs for high-luminosity galaxies (in this picture, low-luminosity galaxies have comparable SFRs in the Hα and FUV because the effects of dust are small for both SFR indicators), and the curve in Figure 4b. Furthermore, this scenario is roughly consistent with the distributions of FUV and Hα attenuations in Figure 3.

5. CONCLUSIONS

     We have performed photometry on UIT NUV and FUV images of a sample of 50 star-forming galaxies. Comparison with literature FUV magnitudes suggests that our magnitudes are accurate to better than 0.4 mag. Combining these NUV and FUV magnitudes with literature Hα, FIR, and thermal radio continuum measurements, we have found the following:

  1. Raw FUV and Hα SFR estimates are consistent to within a factor of 2. At low luminosities, Hα SFR estimates are around 25% lower then FUV SFR estimates, indicating either inconsistencies in the SFR calibrations, or the effects of low-level bursts of star formation. At higher luminosities, Hα SFR estimates are ∼1.5 times higher than FUV SFR estimates, with a factor of 2 scatter. This indicates that FUV attenuation is, on average, larger than Hα attenuation. Furthermore, the difference in the Hα-to-FUV SFR ratio between high- and low-luminosity galaxies suggests that there are differences in extinction properties that correlate at least loosely with luminosity.
  2. For subsets of our sample of galaxies, we have constructed FUV attenuation estimates using the UV spectral slope as an attenuation indicator (Calzetti et al. 1994), and Hα attenuation estimates by comparing Hα and thermal radio continuum luminosities. The median FUV attenuation is somewhat larger than the median Hα attenuation, although with marginal significance.
  3. Comparison of the Hα attenuation with the FIR/FUV for our galaxies demonstrates that there is a broad range in Hα attenuation. If FIR/FUV is driven mainly by attenuation, there are suggestions that the Hα attenuation correlates broadly with the FUV attenuation, and is around a factor of 2 lower than the FUV attenuation.
  4. Characteristic Hα and FUV attenuations for our sample of galaxies are ∼0.9 and ∼1.4 mag, respectively, although there is a large range in attenuations in our sample, ranging from 0 to 4 mag at Hα.

     We thank Karl Gordon for providing the total IR estimation IDL routine, and for numerous helpful discussions. We acknowledge useful suggestions from and discussions with Mark Sullivan, Richard Ellis, Gerhardt Meurer, and especially the anonymous referee. This work was supported by NASA grant NAG5-8426 and NSF grant AST 99-00789. Some of the data presented in this paper were obtained from the Multimission Archive at the Space Telescope Science Institute (MAST). STScI is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS5-26555. Support for MAST for non-HST data is provided by the NASA Office of Space Science via grant NAG5-7584 and by other grants and contracts. This research has made extensive use of the NASA/IPAC Extragalactic Database (NED), which is operated by the Jet Propulsion Laboratory, California Institute of Technology, under contract to the National Aeronautics and Space Administration.

REFERENCES