\documentstyle[12pt,aasms]{article} \pagestyle{plain}% | {empty} | {headings} \topmargin=-0.3in \oddsidemargin=0.2in \textwidth=6.0in \textheight=8.5in \parindent=3.0em % Depends on type size \headsep=0.45in \parskip 6pt plus 1pt % Extra space between paragraphs \footnotesep \baselineskip % Separate footnotes from text \sloppy \pretolerance=500 \hyphenpenalty=200 % Resist hyphenation % \newcommand{\etal}{{\em et~al.}} \newcommand{\lapprox}{_<\atop^\sim} % math mode only! \newcommand{\gapprox}{_>\atop^\sim} % math mode only! \newcommand{\smb}{3000{\rm\AA}~bump~} \newcommand{\bump}{bump~} \newcommand{\xem}{\rm} \newcommand{\munorm}{1.25} \newcommand{\bumps}{bumps~} \newcommand{\bbump}{Big Bump~} \newcommand{\wbump}{weak bump~} \newcommand{\wbumps}{weak bumps~} \newcommand{\nqso}{47} % Size of UV sample \newcommand{\nqrq}{29} % No of radio-quiets \newcommand{\nqrl}{18} % No of radio-louds \newcommand{\npg}{27} % No of PGs \newcommand{\nsy}{8} % No of Sys \newcommand{\nhost}{29} % No with host data \newcommand{\nnohost}{18} % No with host data \newcommand{\nother}{23} % No in table 1b \newcommand{\vvs}{\vskip 0.2in\par\noindent} \newcommand{\resolve}[1]{{#1}} % \newcommand{\tsz}{\footnotesize} \newcommand{\er}{\mbox{$\pm$}} \newcommand{\sam}{UVSX sample} % \newcommand{\usam}{UVSX SAMPLE} % \newcommand{\uother}{OTHER ``IPC''} % \newcommand{\other}{other ``IPC''} % % % \begin{document} \doublespace \title{ATLAS OF QUASAR ENERGY DISTRIBUTIONS\altaffilmark{1}\\ I. THE DATA } \author{ Martin Elvis\altaffilmark{2}, Belinda J. Wilkes\altaffilmark{2}, Jonathan C. McDowell\altaffilmark{2}, Richard F. Green\altaffilmark{3}, Jill Bechtold\altaffilmark{4}, S. P. Willner\altaffilmark{2}, M.S. Oey\altaffilmark{2,4}, Elisha Polomski\altaffilmark{2,5}, and Roc Cutri\altaffilmark{4}} \altaffiltext{1}{Based in part on data acquired with the {\it International Ultraviolet Explorer}~satellite, operated at the Goddard Space Flight Center for the National Aeronautics and Space Administration, the Multiple Mirror Telescope (MMT), a joint facility of the Smithsonian Institution and the University of Arizona, and the Infrared Telescope Facility (IRTF), a joint facility of NASA and the University of Hawaii.} \altaffiltext{2}{Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138} \altaffiltext{3}{National Optical Astronomy Observatories, Kitt Peak National Observatory, Tucson, AZ 85726. KPNO is operated by the Association of Universities for Research in Astronomy, Inc., under contract with the NSF.} \altaffiltext{4}{Steward Observatory, University of Arizona, Tucson, AZ 85721} \altaffiltext{5}{Center for EUV Astrophysics, Berkeley, CA} \date{Version: \today \\ \small To be submitted to {\it Astrophysical Journal Supplement Series}} \begin{abstract} We present an atlas of the spectral energy distributions (SEDs) of normal, non-blazar, quasars over the whole available range (radio to 10 keV X-rays) of the electromagnetic spectrum. The primary (UVSX) sample includes \nqso~quasars for which the spectral energy distributions include X-ray spectral indices and UV data. Of these \nqrq~are radio-quiet and \nqrl~are radio-loud. The SEDs are presented both in figures and in tabular form, with additional tabular material published on CD-ROM. Previously unpublished observational data for a second set of quasars excluded from the primary sample are also tabulated. The effects of host galaxy starlight contamination and foreground extinction on the \sam~are considered and the sample is used to investigate the range of SED properties. Of course, the properties we derive are influenced strongly by the selection effects induced by quasar discovery techniques. We derive the mean energy distribution (MED) for radio-loud and radio-quiet objects and present the bolometric corrections derived from it. We note however that the dispersion about this mean is large ($\sim$1 decade for both the infrared and ultraviolet components when the MED is normalized at the near infrared inflection). At least part of the dispersion in the ultraviolet may be due to time variability, but this is unlikely to be important in the infrared. The existence of such a large dispersion indicates that the MED reflects only some of the properties of quasars, and so should be used only with caution. \end{abstract} \keywords{Galaxies: Quasars: General --- Atlases} \section{Introduction} \bigskip One of the reasons that main sequence stars are much better understood than quasars is that they radiate (almost) black body spectra with temperatures between $\sim$4000 and $\sim$30,000~K, so that their black body peak moves conveniently through the optical band. The resulting strong color changes allowed the early recognition of the main sequence in the Hertzprung-Russell diagram. By showing that most stars lie in a restricted band of color and luminosity this diagram provided a crucial input to theories of stellar structure. The current lack of understanding of quasars may correspondingly be due to the distribution of their continuum light. Because the quasar phenomenon covers an extremely broad range of wavelengths it is hard to see continuum features analogous to the black body peak in normal stars. Quasars emit almost constant power per decade of frequency from 100 $\mu$m to at least 100 keV (see \eg\ figure 1 of Carleton et al., 1987). While this equipartition is surprising, and may be to some extent an observational artifact (Elvis and Brissenden 1993, in preparation), it contains too little information to constrain theoretical ideas. Overcoming this problem requires the assembly of Spectral Energy Distributions (SEDs) for sizable samples of quasars over the whole accessible range of the electromagnetic spectrum from radio to hard X-rays (and in the future, gamma rays). In this paper we present SEDs for a sample of \nqso~quasars. We concentrate on `normal' quasars with little or no polarization and no dramatic optical variability. Our primary selection criteria were: (1) existing \ein\ observations at good signal-to-noise (to ensure good X-ray spectra); and (2) an optical magnitude bright enough to make an IUE spectrum obtainable. Making the primary selection at these wavelengths means that not all the sample are detected in the IRAS data. Several previous studies of quasar SEDs have been published. Each emphasized a particular region, and none considered the X-rays in detail. Early work included SEDs for IRAS-bright AGNs by Edelson and Malkan (1986), and for hard X-ray selected Seyferts by Ward et al (1987). Infrared to optical SEDs for the PG quasars were presented by Sanders et al. (1989) with an emphasis on explaining the infrared. Near-infrared to ultraviolet SEDs for IUE observed quasars were presented by Sun and Malkan (1989). Our study is different in that it includes X-ray data, divided into three energy bands in many cases, for all the objects, and includes both IUE and IRAS data. The X-rays are important to define the total luminosity, and are crucial in overall modelling as they seem to come most directly from the central source. The sample is fairly evenly divided between radio-quiet and radio-loud objects. We present the data in \S 4, and the necessary corrections for reddening, variability and, importantly, host galaxy contributions in \S 5. Section 6 discusses the properties of the SEDs, including their mean and dispersion. First, however, we outline the features we are studying (\S 2) and the sample of quasars (\S 3). \section{Continuum Features} Fig. 1 shows the radio to X-ray rest frame energy distributions of two typical quasars, 4C 34.47 and Mkn586. All energy distributions are plotted as log $\nu$f$_\nu$ vs. log $\nu$; since $\nu$f$_\nu$ is the flux per logarithmic frequency interval, such plots give the best indication of the frequency ranges where most energy is released. The X-ray data are indicated with a `bow-tie' symbol representing a power law fit with both the best fit slope and the 1 sigma confidence limit slopes indicated. In general, no data are available in the extreme ultraviolet `gap' beyond the Lyman limit where our galaxy is opaque. In the 1-100 $\mu$m infrared band both quasars are almost flat (Ward et al. 1987, Neugebauer et al. 1987, hereafter N87). A single, nearly horizontal, power-law fits the IR points reasonably well and intersects the X-ray point at about 1 keV. We will call deviations from this power-law `continuum features'. There are four prominent features of this kind: \begin{enumerate} \item The power output always drops in the sub-millimeter band ( the ``mm-break'', Fig. 1) but the size of the drop varies dramatically from object to object. Quasars in which the drop is only 2 decades are called ``radio-loud'' (e.g. 4C 34.47). The great majority of quasars have a much stronger mm-break of 5 or even 6 decades (Condon et al 1981, Kellermann et al. 1989) and are called ``radio-quiet'' (e.g. Mkn586). This distinction between radio-loud and radio-quiet quasars is the oldest in the quasar literature and goes back to the `blue interlopers' found in early radio source identification work (Sandage 1965). Radio-quiet objects are much the more common, by about a factor 10 (Kellerman et al 1989). The mm-break is the strongest known feature in normal quasar continua, although it is less strong in objects selected at high radio frequencies. \item The optical-ultraviolet continuum rises above the infrared and forms a ``UV bump'' (Shields 1978, Malkan and Sargent 1982, N87). Variability studies show that this is a separate component from the infrared (Cutri et al. 1985) since it varies much more strongly. This big bump is most often interpreted in terms of thermal emission from an accretion disk ( e.g. Malkan 1983, Czerny and Elvis 1987). The strength of the feature in our study may be affected by selection effects since many quasars were discovered by ultraviolet excess techniques. The beginning of the bump is marked by an inflection between 1 and 1.5 $\mu$m in the rest frame; this ``near infrared inflection'' is the only continuum feature whose wavelength is well defined (N87). \item X-ray spectra of many radio-loud quasars and high luminosity Seyfert 1 galaxies have rising slopes toward high frequencies in log $\nu$f$_\nu$ vs. log $\nu$ energy distributions (Zamorani et al 1981, Mushotzky 1984, Bezler et al. 1984, Turner and Pounds 1989, Williams et al 1992). They cannot then be an extension of a flat, or slightly falling, infrared power-law, as has been suggested for some objects by Carleton et al (1987). A new emission component must be emerging in the X-rays above 1 keV in these objects. \item The most recently identified continuum feature is the `XUV excess' (e.g. Arnaud et al 1985, Wilkes and Elvis 1987 (WE87), Turner and Pounds 1989, Masnou et al 1992). The 1 keV spectrum of quasars is often fitted with a power law spectrum since the available spectral resolution is very low; studies using the {\it Einstein}~IPC and EXOSAT showed that excess flux above this power law was often present in the ultra-soft (0.3 keV and below) region of the spectrum; the excess can be highly variable (e.g. Turner and Pounds 1988, Elvis et al 1991). It is possible that the XUV excess is the same physical component as the ultraviolet bump since the energy distribution rises towards the EUV from both sides of the unobserved spectral region. WE87 found evidence for a soft excess in 8 of their 33 quasars. Subsequent reanalysis of the 13 highest S/N quasars in this sample by Masnou et al (1992) detected a soft excess in about half of the objects. A similar fraction was found by Turner and Pounds (1989) for Seyferts. \end{enumerate} \vspace{0.1in} \section{The \sam} We have carried out an extensive program of quasar continuum observations over the past seven years, the results of which we present here. Since we believe it important to include X-ray observations, we restricted ourselves to objects that had been observed to high S/N with the Imaging Proportional Counter (IPC, Gorenstein, Harnden and Fabricant 1979) instrument on the {\it Einstein Observatory}~(HEAO 2, Giacconi et al 1979) satellite. We note that this introduces a bias towards objects which are low redshift, moderate luminosity and have strong X-ray to optical flux ratios (WE87); the sample is heterogenous and not flux-limited. The objects were selected mainly from the PG (Schmidt and Green 1983), 3C and Parkes catalogs. No single completeness criterion could be used, however, because of the quasi-random way in which the original \ein\ observations were made. We have selected a subsample of \nqso~quasars which have sufficient counts (${\gapprox~}~300$) in the IPC to give a reasonably constrained power law spectral fit, and which are optically bright enough (V$<17$) to be observable with IUE: we designate this the `\sam'. \nqrq~members of the sample are radio-quiet and \nqrl~are radio-loud. The X-ray and ultraviolet data have been combined with IRAS space-based infrared data and ground-based optical, infrared and radio observations to construct the complete energy distributions. 30 of the \nqso~objects are detected by IRAS at 60 microns; only 15 are detected at 100 microns. The \nqso~quasars in the \sam~are listed in Table 1(a). The sample has substantial overlap with the work of Elvis et al (1986) and WE87. The table gives the common name of the quasar as well as its catalog number in the {\it Einstein Observatory Source Catalog}~(Harris et al 1991), and the name of the associated host galaxy where appropriate. Both B1950 and J2000 coordinates are provided, as well as the redshift and typical V magnitude. The estimate of the foreground Galactic hydrogen column density (in units of $10^{20}\mbox{ cm$^{-2}$}$) is listed together with a reference. Most of the column estimates are accurate values from Elvis, Lockman and Wilkes (1989). Finally, each object is given a classification. The classifications are as follows: radio-quiet (RQ), broad absorption line (BAL, a subset of RQ), and radio-loud (RL). Radio-loud quasars are further subdivided where suitable data are available into superluminal (SL), flat spectrum compact (FSC), steep spectrum compact (SSC), and Fanaroff-Riley class 2 steep spectrum doubles (FR2). Further, following the convention of Veron-Cetty and Veron (1987) and Schmidt and Green (1983), radio-quiet objects with absolute visual magnitude fainter than $-23.0$ calculated according to their prescription (but using our cosmological parameters, see section 5.3) are designated as Seyfert 1 (Sy1); \nsy~objects in the \sam~% satisfy this criterion. Table 1(b) lists the corresponding properties of \nother~\other~quasars from our original program which were observed by \ein~or EXOSAT but are not included in the final \sam~% either because of poor quality X-ray data, strong optical variability, or low optical flux. New ground-based data are presented in this paper for these quasars, but the data are not used in the main analysis. Further properties of the quasars in the \sam~are listed in Table 2, and illustrated as histograms in Fig. 2, with the shaded regions corresponding to the radio-loud objects. The numerical value of the radio-loudness, $R_L$, is defined to be the logarithm of the ratio of the observed core 5 GHz flux to the flux in the optical B band, and an object is considered to be radio-loud if $R_L=\log(f_{5 GHz}/f_B)>1$. Note that this definition is based on observed frame fluxes, but corrections to the rest frame do not make an important difference for the small redshifts encountered here. In each case an attempt has been made to estimate a core flux on arcsecond scales, since we are studying the properties of the compact central source at other wavelengths and wish to neglect the extended radio source, if any. We were unable to find maps of the two most southern sources, and the VLA fails to resolve the core of 3C48 from the compact steep spectrum source in which it is embedded (Spencer et al 1989). For sources where information on the fluxes of individual radio components was available, we have calculated the Browne parameter $R_{CD}$ defined as the ratio of core to extended emission at 5 GHz, and is believed to be correlated with source orientation (Orr and Browne 1982). Monochromatic luminosities ($\log (\nu L_\nu/ \mbox{erg/s})$) in the visual ($L_V$ at $5400{\rm \AA}$ in the rest frame) and X-ray ($L_X$ at 2 keV) are tabulated, as are the bolometric luminosities derived later in this paper. % We % calculate luminosities assuming a standard cosmological model with % $H_0=50 km/s/Mpc$ and $\Omega_0=2q_0=1$. The absolute visual magnitude is also given in Table 2, derived using the formulae of Veron-Cetty and Veron (1987) but using our chosen cosmological parameters (see section 5.3). $\alpha_x$ is the X-ray spectral index derived from the IPC results; the ultraviolet to X-ray two-point spectral slope $\alpha_{ox}$ is defined from $2500{\rm \AA}$ to $2$ keV in the rest frame. These spectral indices are conventional energy indices, $\alpha= -{d\log f_\nu/d\log\nu}$. \newpage \section{ Data} \subsection{Overview} To assemble the SEDs for the \nqso~quasars required observations on 12 different telescopes, using 16 different instruments, in locations from ground-based to space. Because of this diversity of observing techniques it is necessary to describe each data set, and the corrections made to it, carefully. \resolve{ } \subsection{X-ray} The `X-ray band' covers two full decades of the spectrum, as much as the entire UV, optical and infrared bands together. Even though most X-ray spectra have low resolution it is still useful to divide the band into three parts: `hard X-ray', covering 2-10 keV; `soft X-ray', covering 0.3-2 keV; and `ultra-soft X-ray' covering 0.1-0.3 keV. All the \nqso~objects in our sample were observed in 1979 or 1980 with the IPC instrument on {\it Einstein}. The limited spectral resolution of this instrument allows us to characterize the $0.1-3.5$~keV ultra-soft and soft X-ray spectrum as a single power law modified by foreground absorption, although the true spectrum may be much more complex. For most of the objects in the sample, the data and spectral fits are presented in WE87. Although the foreground Galactic absorption is now well determined for our objects, we choose to retain the earlier fits in which the Galactic absorption is allowed to vary freely, since in the absence of hard x-ray data to constrain the 1 keV slope, the presence of an ultra-soft excess in the incident spectrum is almost equivalent to a reduction in the absorption, and thus a better estimate of the slope in the soft band (at greater energies than the excess) is obtained than if the absorption is fixed at its true value (see Masnou et al 1992). Masnou et al (1992) searched for ultra-soft excesses in thirteen of the highest signal-to-noise observations. Those authors re-analysed the {\it Einstein}~data using a two power law model and including data out to 10 keV from the MPC instrument on {\it Einstein}, revealing the presence of an ultra-soft X-ray excess component in eight of the objects. This is indicated as a separate data point at 0.2 keV on our energy distribution plots (Fig. 8-54). In these two power law fits, the presence of the hard x-ray data means that the best estimate of the 1 keV slope is obtained by fixing the foreground absorption at the known Galactic (Elvis, Lockman and Wilkes 1989) value. The object PG1211+143 was studied in a separate paper by Elvis et al (1991). These results are summarized in Table 3(a) together with 18 previously unpublished spectral fits. The analysis for the new fits was identical to that of WE87. {Contour plots for the new fits are presented in Fig. 3, and observational details are presented in Table 3(b); refer to WE87 for details.} Hard X-ray data are available for over half the sample, from EXOSAT ME (Turner and Pounds 1989, Comastri et al 1992) and {\it Ginga}~observations (Williams et al 1992, Ohashi et al 1992) and the corresponding power law fits are also listed in Table 3. It should be borne in mind that these power law fits are only a parameterization; in higher spectral resolution observations, bright AGN often show a complex `Compton reflection' spectrum. \subsection{Ultraviolet} All of the \nqso~\sam~objects have been observed with both the long and short wavelength cameras on the {\it International Ultraviolet Explorer}~between 1978 and 1989. A total of 19 exposures were made explicitly for this program, many of which were long wavelength observations needed to fill in pre-existing short wavelength data. In addition, 108 further spectra were extracted from the Regional Data Analysis Facility archive. Both sets of data were analysed uniformly using the GEX Gaussian extraction algorithm (Urry and Reichert 1988) which is the most effective for our faint targets. Bad data points (reseau marks, cosmic ray hits and microphonic noise in the LWR) were removed interactively. We then averaged the ultraviolet flux within each of a set of wavelength bands chosen to avoid strong emission lines, converting the somewhat noisy spectra to a small set of relatively well determined continuum flux estimates. For both ultraviolet and optical data (see next section) we defined continuum wavelength bands fixed in the rest frame of the object, with widths $50{\rm \AA}$ wide shortward of $1900\AA$, $100\AA$ wide shortward of $5000{\rm \AA}$ and $200{\rm \AA}$ wide beyond that wavelength. Bands which overlapped a region of avoidance 8000 km/s to either side of strong broad lines or 2000 km/s to either side of strong narrow lines were omitted. We avoid the lines $L\alpha \lambda1215$, $O IV \lambda 1402$, $CIV \lambda 1549$, $CIII] \lambda1909$, $Mg II \lambda 2798$, $Ne V \lambda3426$, $[OII] \lambda3727$, $[OIII] \lambda4959,5007$, $Ne II \lambda3869/3968$, $O I \lambda 6300$, and the Balmer lines $H\alpha$ to $H\delta$. Weak lines, the Balmer continuum, and the blended [FeII] lines are not avoided and so these are included in our `continuum' fluxes. The continuum bands used may be found in Table A1; in the published version of this paper, Tables A1 to A5 and B1 to B47 are available only on the AAS CD-ROM disk. Formatted, printed versions of the tables are available from the authors on request. Table A2 lists the IUE exposures and the observed frequencies and fluxes corresponding to each continuum band. The fluxes are given as $\log(\nu f_\nu/\mbox{Jy Hz})$ in the observed frame, and that they are not corrected for foreground extinction. ($ 1 \mbox{Jy Hz} = 10^{-23} \mbox {erg cm$^{-2}$ s$^{-1}$}$). The first column on each page gives the rest frame wavelengths of each band. Then there is a header column for each object which gives the name of the object and the logarithm of the corresponding observed frequencies in Hz. This is followed by two columns for each observation giving the date of the observation (in the first row) followed by the logarithmic fluxes ($\log (\nu F(\nu)/\mbox{1 Jy Hz})$) in the first column and the uncertainties in the logarithmic fluxes in the second column. The uncertainties are 1 $\sigma$ internal statistical errors derived from the scatter in the individual data points prior to binning. The optical spectrophotometry for the probable high redshift object PG1407+265 (see discussion below) is also included in Table A2 for convenience, since the rest wavelengths for the observed optical spectrum lie in the ultraviolet. \subsection{Optical} Spectrophotometric observations for 14 objects were obtained with the Blue ($\sim3200-6400{\rm \AA}$) Spectrograph or the FOGS (Faint Object Grism Spectrograph, $\sim4500-7500{\rm \AA}$) on the MMT. Blue spectrograph observations were made through a 5" circular aperture at air mass below 1.4 to minimize light lost due to atmospheric dispersion. Objects were then re-observed at higher resolution through a 1"x3" aperture. A nearby standard star was observed immediately before or after the quasar observation. For FOGS the large aperture used was 10x20" and the small one was a long slit 1" wide. In all cases the large aperture observations were used to flux calibrate the accompanying, higher S/N, small aperture observations yielding spectrophotometric data with $\sim5-10{\rm \AA}$ spectral resolution. This secondary flux calbration was made by normalising the line-free continuum of the small aperture spectrum to that of the large aperture spectrum. Since the amount of galaxy contamination in the lower luminosity objects depends on aperture size, subsequent galaxy subtraction was made with reference to the size of large aperture. The equivalent widths of the emission lines are those of the central point source. They are not used in our energy distribution study and we will discuss them no further here. The data were reduced in the standard manner, using IRAF. To ensure the photometric accuracy of these spectra, BVRI CCD photometric data were obtained on the FLWO (F. L. Whipple Observatory) 24-inch telescope within one week of the MMT observations. Table 4 gives the BVRI photometry values, estimated within a 14 arcsecond aperture; the values have been corrected to the Johnson system in which Vega has magnitude $+0.03$. In Table 4(c) we also present photometry obtained at Mt. Lemmon by one of us (R.C.). This photometry is in 12 arcsecond aperture except for those dates marked with an asterisk which are in a 17 arcsecond aperture; see Cutri et al (1985) for observational details. Table A3 lists the continuum fluxes observed with FOGS and MMT spectrograph, in the same format as Table A2. As with the IUE data, emission lines have been avoided by averaging the logarithmic fluxes in the line-free, rest frame continuum bands listed in Table A1. Optical spectrophotometry for the \npg~PG objects in our program were presented by N87. These data were already corrected for Galactic reddening; this correction is removed here using the same law used by those authors for consistency with our database (Neugebauer, G., private communication). This allows us, and others, to apply a uniform Galactic dereddening to all of our optical, ultraviolet and soft X-ray data. Since the values of $E(B-V)$ used in N87 were not given in that paper, we tabulate them here (Table 5) for all the objects in that paper together with the values obtained using the prescription described below (Section 6.2). Our figures and subsequent analysis also include optical data from Neugebauer et al (1979), Sun and Malkan (1989), Treves et al (1988), Sitko et al (1982), Condon et al (1981), Adam (1978,1985), and McAlary et al (1983). These data and other data from the literature discussed below are included in the full energy distribution tables in Appendix B (on CD-ROM). \subsection{Near Infrared (1-3.5$\mu$m)} Table 6 records measurements of JHKL ($1.2-3.5\mu m$) photometry obtained explicitly for this program at the MMT and the IRTF. The table gives the magnitudes and uncertainties, the date of observation and the telescope and beam size used. All magnitudes were derived from comparisons with standard stars (Tokunaga 1984, Elias et al 1982). Magnitudes are listed on the instrumental system, i.e. without color corrections, and correspond to a system in which Vega has magnitude zero in all bands. The MMT observations used a filter (``N34'') centered at 3.4~$\mu$m with spectral bandwidth 0.2~$\mu$m instead of the standard ``L'' filter. The J filters used at the MMT and the IRTF have an effective wavelength of 1.25 microns (Willner et al 1985). Chopper throws were $15^{\prime\prime}$~or greater for all observations. We have also included infrared photometry in the figures and analysis from Glass (1986), Rieke (1978), Condon et al (1981), Hyland and Allen (1982), Sitko et al (1982), Rudy, LeVan and Rodriguez (1982), Ward et al (1987), and N87. \subsection{Far Infrared ($\geq10\mu$m)} Table 7 gives measurements at N and Q (10, 20 $\mu$m) made at IRTF and the United Kingdom Infrared Telescope (UKIRT) explicitly for this program. At the IRTF, the CT1 bolometer was used with a 6" beam and an east-west chopper throw of 30". At UKIRT the UKT8 system was used with an 8" beam and a 20" east-west chopper throw. Magnitudes were derived as described above. The Infrared Astronomical Satellite (IRAS, Neugebauer et al 1984) surveyed the sky in 1983 at far infrared wavelengths ($12-100 \mu$m). We have determined fluxes or upper limits at the positions of each of our sources. Where pointed Additional Observations (AO) were made, these were used; otherwise `lineadd' (LA) estimates were made from the survey scans. This procedure allows a better estimate of the local background and uncertainties in a particular measurement than the `coadd' maps. The coadded survey maps were used to check for the presence of contaminating cirrus. The results are listed in Table 8; they are consistent with the results of Neugebauer et al (1986) and Sanders et al (1989) where we have objects in common (for the \sam, 6 objects are previously unpublished). In some cases the $100\mu$m upper limits are rather poor because of the presence of cirrus in the region of the source. Upper limits ($3\sigma$) are listed for each source when no detection was made in the IRAS bands. \subsection{Radio and Millimetre} We have gathered core radio fluxes at 5 GHz for the \sam~% from the literature (Table 9). The PG sample study with the VLA by Kellerman et al (1989) was given preference over other references in the calculation of radio-loudness. By `core' we mean the flat spectrum compact component which appears to be physically distinct from the steep spectrum diffuse emission. Since this steep spectrum emission can itself be relatively compact in angular size (e.g. 3C48), we do not use a fixed angular size to define the core, although in practice because detailed spectral information is not usually available we often use flux unresolved within a 1 arcsecond beam as our criterion. In the absence of spectral data this is an upper limit on the flat spectrum 5 GHz core flux. Beamsizes are given in the table. In Table 9 we also list measurements at other frequencies and estimates of the flux of any extended radio source associated with the object. Millimetre wave data or upper limits are available for about half the sample (Table 10). Only III Zw 2 and 3C 273 are strong millimetre emitters, but six other sources have weak detections. \section{Corrections} \subsection{Magnitude scales} To include the optical and near infrared photometric data in the energy distributions, we have adopted for each band an absolute zero point appropriate for a locally flat energy distribution. The wavelengths for which these zero points remain the best estimate of the energy distribution even when the local spectrum is not flat are slightly different from the usual nominal wavelengths of the filters, but the uncertainties are such that we have retained the nominal wavelengths. In Table 11 we tabulate for each band both the flux of Vega at the nominal wavelength and the flux at the nominal wavelength of an object with a flat energy distribution and the same magnitude as Vega. We used the Hayes (1985) calibration of Vega, extended to other wavelengths by matching to a Kurucz (1979) theoretical model (9400K, $\log g =3.95$). We convolved the Vega energy distribution with atmospheric transmission curves from Mountain et al (1985) and Manduca and Bell (1979), filter shapes from Tokunaga (1986) for the infrared IRTF filters and Johnson (1965) and Azusienis and Straizys (1969) for the optical bands to obtain absolute calibrations corresponding to $\nu F(\nu)=$constant. The color corrections corresponding to the difference of the Vega spectrum from a flat energy distribution are of order 10\% for the optical bands. The results are not very sensitive to the details of the transmission curves; calculations using simple rectangular bandpasses gave results which agreed to within 1\% or less except for the U filter. In the infrared the color corrections are smaller (of order 5\%), and the uncertainties due to atmospheric transmission and the sensitivity to the shape of the bandpass are both larger and comparable to the correction. Nevertheless, we adopt our best estimates as described above. The zero point of the Hayes calibration is somewhat high relative to earlier work, and in particular AB79 fluxes (Oke and Gunn 1983) need to be corrected upwards by 1.5\% to agree with it, although this change is insignificant compared to other uncertainties in the energy distributions. It should also be noted that since the optical photometry of Table 12 is on the Johnson system, it should be corrected for the non-zero magnitude of Vega (+0.03 mag) before these zero points are applied. \subsection{Extinction corrections} Corrections for foreground (Galactic) extinction are important in the optical, UV and soft X-ray. The X-ray spectral fits of Table 3 already include correction for the line of sight absorption column as discussed above. Separately, a single extinction correction (which may correspond to a different hydrogen column) is applied to the remainder of the data, using an extinction law based on that of Savage and Mathis (1979) in the visible and ultraviolet, and Rieke and Lebofsky (1985) in the infrared beyond $3\mu$m, Table A4. The magnitude of the correction has been estimated from the Galactic neutral hydrogen column by assuming a fixed conversion of $N(HI)/E(B-V)=5.0\times10^{21} \mbox{cm$^2$ mag$^{-1}$}$ (Burstein and Heiles 1978). The Galactic HI column (Table 1) has been accurately measured with a narrow beam and good stray radiation corrections in all but a few cases using the 140 ft Green Bank radio telescope (Elvis, Lockman and Wilkes 1989). The value for 3C 273 was taken from Dickey, Salpeter and Terzian (1978). In the three remaining cases it has been estimated from Heiles and Cleary (1979) or Stark et al (1984, 1992). \newpage \subsection{Cosmological model} We have adopted a standard Friedmann-Robertson-Walker cosmological model with $\Omega_0 (=2q_0)=1$ and $H_0=50 \mbox{km s$^{-1}$Mpc$^{-1}$}$. After Galactic reddening corrections were applied, the data were blueshifted to the rest frame. Since in the rest frame we are working with the complete energy distributions, no k-corrections and no assumptions about the intrinsic spectrum are required. \subsection{Host Galaxies} Although the overall energy output of our sample objects is dominated by the active nucleus, in the near infrared the host galaxy often makes the dominant contribution. We have constructed a host galaxy spectral template SED based on the Sbc galaxy model of Coleman, Wu and Weedman (1980). We have extended this to the near infrared using JHKL colors characteristic of both spirals and ellipticals (Frogel 1985, de Vaucouleurs and Longo 1988). The adopted starlight template is listed in Table A5 and shown in Fig. 4. Fig 4. clearly shows that the inflection in the quasar energy distribution occurs in the same spectral region where the galaxy starlight dominates, emphasizing the importance of making a correction for this starlight. The quasar rapidly dominates as one moves toward the optical/UV, so the difference between spiral and elliptical templates is unimportant except in determining the normalization. For this reason we have given preference to infrared estimates of the galaxy luminosity over optical measurements. We have not attempted to model the dust emission from the host galaxy, although far-infrared observations of RSA spirals (De Jong et al 1984) and submillimeter observations of normal galaxies (Thronson et al 1990) indicate that the $60$ and $100$ micron contribution of the host galaxy to the energy distribution may be significant even in the absence of a starburst; the dashed line in Fig. 4 shows an estimate of the mean normal spiral dust emission, but we emphasize that the dispersion in the shape is too large to make this a useful template. If a starburst is also present, the far infrared contribution will be even larger, and, as Edelson (1987) and Condon and Broderick (1988) have shown, the radio may also be contaminated. Rather than attempt an independent fit, we have chosen to use direct measurements of the host galaxy luminosities for the individual objects as found in the literature. Where possible, we have used the quoted total apparent magnitudes at the observed wavelengths to calculate the appropriate normalization of the template, rather than the reported absolute magnitudes which usually depend on the template model assumed by the authors in question. This normalization is expressed as $L_H$, the monochromatic luminosity at H band in the rest frame, where the host galaxy SED peaks. We have also attempted to estimate the model-independent half-light radius $r_e$ for each galaxy. Neugebauer et al (1985) present observed frame H-band annular photometry of quasars and estimate total magnitudes assuming that, firstly, the radial light distribution follows a modified Hubble law with a fixed ratio of core radius to half-light radius as found by Kormendy (1977) and a corresponding outer cut-off; and, secondly, that the half light radius is related to the total absolute H magnitude by a universal relation based on the results of Binggeli, Sandage and Tarenghi (1984) and the assumption of a constant $B-H$ color for the galaxies. They then solve iteratively for the total magnitude. We have adopted their scheme and recalculated the results for our cosmological assumptions. We are unable to reproduce the exact results in their paper; however, direct measurements of the host galaxy luminosities from CCD imaging should be available soon. The surface brightness versus radius relation we adopt is a modified Hubble law, \[ \Sigma(r) = {\Sigma(0) \over (1+ {r\over 0.093r_e})^2}\] cut-off at $r_o=5.4r_e$; experiments with a de Vaucouleurs law gave similar results, but the de Vaucouleurs law was a worse fit to a few of the objects for which detailed profiles were available - although we might expect the law to be a better representation for those objects whose host galaxies are elliptical. The same scheme can be used to estimate total magnitudes for the off-nuclear slit photometry of Boroson, Oke and Green (1982), Boroson and Oke (1984), and Boroson, Persson and Oke (1985); for these data we conducted a numerical integration of the modified Hubble law over the area of the slit, replacing the analytic expression possible in the annular case. We note that our derived fractional luminosities in the slit ranged from 0.07 to 0.14 in reasonable agreement with the simple assumption of 0.10 used by Boroson et al. Similarly, the scheme can be adapted for photometry in two annuli, as in Neizvestnii (1986) and MacKenty (1990). For some of our objects, more detailed CCD PSF-subtracted profiles are available. In these cases (Gehren et al 1984, Smith et al 1986, Yee and Green 1987) we have calculated the half-light radius and total magnitude directly from the published profile graphs; the modified Hubble law was used to estimate the contribution within the innermost point at which the profile departed from the point spread function. The total apparent magnitude and half light radius of Fairall 9 were taken directly from Griersmith and Visvanathan (1979). In two cases where only absolute magnitudes were given (Q1352+183, Q2251$-$178, Hutchings, Crampton and Campbell 1984) we took the tabulated values directly, correcting only for cosmology. In total, estimates of host galaxy luminosity and half-light radius were obtained for \nhost~of the \nqso~\sam~objects. Where no error bar was directly available from the fitting process, we assumed an uncertainty of 10 percent in the luminosity. Values for the remaining \nnohost~objects were adopted by the crude expedient of taking the median luminosity and half-light radius of the other hosts and using error bars corresponding to the observed 75 percentile range; thus $L_H=5(+3,-4)\times10^{44} \mbox{erg s$^{-1}$}$ and $r_e=10(+3,-6) \mbox{kpc}$. The upper error bars were modified by the constraint that the predicted near IR flux should not exceed that actually observed for the quasar plus host; in only one cases, Q1244+026, was the adopted luminosity altered to satisfy this constraint. Fig. 5 shows the adopted host luminosities and half-light radii for our sample. The well known galaxies M31 and M87 are marked on the diagram to orient the reader. Where no radial profile was available we adopted an iterative method similar to that of Neugebauer et al (1985) and using the mean relationship (solid line) between half-light radius and total luminosity found for ellipticals by Binggeli, Sandage and Tarenghi (1984) as its starting point. The observed SEDs were then corrected for host galaxy emission, using the fixed spectral host galaxy template, the tabulated normalization and errors, and the modified Hubble law, which was used to determine the fraction of the host flux within the aperture separately for each data point. Uncertainties in the half-light radius were, however, ignored in the calculation of the final errors. Table 12 gives the adopted normalizations at rest frame H for the host galaxy luminosities; most are a few times $10^{44} \mbox{ erg s$^{-1}$}$. We also present the adopted half-light radii in kpc. The size of the correction at H is shown as a function of absolute magnitude in Fig. 6. {Corrections can be important up to $M_V=-25.5$ or more (e.g. 3C 48), while quasars as faint as $M_V=-23.5$ can show negligible host galaxy contamination (e.g. Kaz 102). } \subsection{Variability and averaging} A potentially severe limitation on our dataset is that the observations are typically not simultaneous, although the optical and ground based IR data were generally obtained within about one month. This problem is worst in the ultraviolet since the amount of variability increases with frequency throughout the UVOIR region (Cutri et al 1985). Edelson, Krolik and Pike (1990) reported that the degree of variability was smaller in the higher luminosity sources that form the bulk of the present sample, than in low luminosity Seyferts. However, the variations are still enough to contribute to the scatter in our ultraviolet energy distributions. For about one third of the objects we have observations at two epochs (occasionally more) in a given waveband, so we can make a crude estimate of the degree of variability. In Table 13 we list the observed range of variability, $F_{max}/F_{min}$, and the associated timescale, at rest wavelengths in the near infrared, optical, mid ultraviolet and far ultraviolet. It can be seen that in the optical and infrared variability is not a serious problem for these `normal' quasars, but that in the ultraviolet the variability is significant on timescales of a few years (median timescale sampled is 4 years), although typically (13 out of 18 cases) it is less than a factor of two. These results indicate somewhat less variability than found by Kinney et al (1991), and this is probably an artifact of the small number of observations of our objects (more observations would tend to increase the observed range of variability). To generate a single mean energy distribution for each quasar, we have taken an average (in $\log \nu F(\nu)$) of all the data in each frequency bin. However, for the IUE data, because of the increased problem of variability and also the widely different S/N among observations, we have been selective in the exposures from Table A2 we chose to include in the average. Specifically, where simultaneous data from the long (LWP/LWR) and short (SWP) wavelength cameras were available, we have included them and excluded `orphan' LWP/LWR or SWP exposures. This avoids spurious steps in the UV data due to variability. Objects where `orphans' were excluded are Q0007+106, Q1100+772, Q1146-037, Q1202+281, Q1407+265, and Q1613+658. Further, when one exposure had significantly lower signal-to-noise than the others, it was omitted (Q1545+210, Q1613+658, and Q1721+343). \subsection{PG 1407+265} The redshift of PG 1407+265 (= 2E 3196) is uncertain; the object has very weak emission lines, the only certain feature coming at $5500{\rm \AA}$. An identification of this as Mg II and the weak presence of a feature at CIII] led Schmidt and Green (1983) to propose the redshift as z=0.944. The near infrared to ultraviolet spectrum of PG1407+265 is presented in Fig. 7. The absence of a clear Lyman alpha line in the IUE spectrum caused us to consider lower redshift identifications, including blueshifts, but no choice of redshift allows normal quasar line ratios. We have adopted the high redshift given by Schmidt and Green because of the position of a prominent continuum feature, namely the near infrared inflection. The rest wavelength of this feature lies between 1.0 and 1.5 microns for all our other objects, and in this object occurs at an observed wavelength between 2.0 and 2.4 microns, which lends support to the high redshift estimate. We continue to adopt the Schmidt and Green value despite the absence of definitely observed hydrogen lines. We note that the broad width of the one line clearly detected, the overall continuum shape, the lack of strong optical variability and the X-ray to optical flux ratio indicate that the object is indeed a quasar rather than, for instance, a star, a BL Lac object, or some more exotic object. Note the good agreement in flux level at the overlap between the two optical spectra and the smooth continuation of the spectrum made by the infrared photometry, implying a lack of variability at longer wavelengths. Comparison with the data in Neugebauer et al (1987) indicates that the optical has varied by less than 10 per cent over an 8 year interval. A 1986 LWP spectrum shows a lower flux level than the other ultraviolet data, implying significant variability in the UV (at least 30\%). These variability properties are all consistent with normal quasar behaviour. \newpage \section{Properties of the energy distributions} In Figs. 8-19 and 20-35 we present two energy distributions for each object in the \sam, an overall view and a closeup of the infrared to ultraviolet region. The overall view covers a fixed flux range of ten decades and illustrates the radio-loudness and X-ray properties of each quasar. The closeup view covers two decades in flux and illustrates the near infrared inflection, and the strength of the blue bump. For objects in which host galaxy subtraction makes a significant difference ($>5$\%) to the energy distribution, the starlight subtracted energy distribution is also shown. \subsection{Luminosities: Bolometric and individual bands} To characterize the large scale distribution of the energy output of the quasars, we calculate integral luminosites in a set of broad bands. The integrals are calculated by running a simple linear interpolation through the data points in $\log \nu L_\nu$ space, i.e. connecting the individual points with a power law. The errors indicated in the tables are estimated by performing the integrals using the one sigma high and one sigma low flux values instead of the nominal values. For upper limits we interpolate between detections on either side. The lower of the interpolated value and the upper limit is used as the nominal flux estimate, but the errors are estimated using zero as the lower error bar and the upper limit as the upper error bar. The logarithms of the calculated integral luminosities in units of \mbox{erg s$^{-1}$} are tabulated in Tables 14 to 16. \begin{enumerate} \item{{\em Bolometric}} The bolometric luminosity is typically well defined except for contributions from two regions of the spectrum: the mostly unobservable EUV region and the as yet unobserved hard X-ray and gamma-ray region. Indications are strong that the gap in the 0.1-10 mm wavelength range is energetically negligible. As a first crude estimate of the EUV luminosity, we simply make a linear interpolation (in the log-log space of Figs. 8-19, i.e. a power law interpolation in flux space) between the ends of the IUE and {\it Einstein}~ranges. We note, however, that in contrast to the claim of Padovani and Rafanelli (1988), the lack of EUV data does introduce a major uncertainty into the final bolometric luminosity. An upper limit to the physically reasonable EUV luminosity can be made by finding the maximum blackbody curve which does not exceed the observed data; however this limit is not strong, as the luminosity implied is typically 10 to 100 times the luminosity observed in the rest of the spectrum. We perforce neglect the unknown luminosity above 10 keV ($10^{18.4}$Hz). Compton Observatory observations will provide some constraints in this region. The number of ionizing photons is somewhat better determined than the luminosity, since the photon spectrum is rapidly falling in the ultraviolet. However our estimate of this quantity is still very speculative since it is based on our linear interpolation across the EUV gap. We tabulate the total estimated ionizing photon rate multiplied by 1 Rydberg, $N_{Ion}R$, to give the quantity the same units as the luminosities for easy comparison. Since $1 \mbox{Ryd}= R = 2.18\times10^{-11} \mbox{erg},$ if $N_{Ion}R=10^{44}N_{44} \mbox{erg s$^{-1}$}$ then $N_{Ion}=4.6\times 10^{54}N_{44} \mbox{photons s$^{-1}$}.$ The mean ionizing photon energy in Rydbergs is then simply $L_{Ion}/(N_{Ion}R).$ \item{\em UVOIR} The three decades between 100$\mu$m and 0.1$\mu$m (the ultraviolet/\- optical/\-infrared or `UVOIR' region) are relatively well sampled, so the corresponding UVOIR luminosity can be calculated much more accurately. This luminosity accounts for most of that which is directly observed, and so is a useful fiducial luminosity for a quasar. \item{\em Decades} We also tabulate the luminosity in individual decades across the electromagnetic spectrum. Outside the range $1-0.1\mu$m, these are often estimates from only one or two points and the errors are correspondingly large (typically 25 percent in the far IR). \item{\em Octaves} In order to describe the shape of the ultraviolet bump component, we define a set of narrower octave wide bands. The four bands we call IR ($0.8-1.6\mu$m), VIS ($4000-8000{\rm \AA}$), NUV ($2000-4000{\rm \AA}$) and UV ($1000-2000{\rm \AA}$). The IR band gives the luminosity just shortward of the near infrared inflection, where the bump starts. The UV band measures the luminosity in the bluest observed part of the bump, while the VIS band samples the early part of the bump's rise. The NUV band covers the near ultraviolet region of the spectrum dominated by the `small bump' of blended Fe II and Balmer continuum emission (Wills, Netzer and Wills 1985). Further discussion and interpretation of the octave colors of our sample may be found in Kuhn et al (in preparation). \end{enumerate} \newpage \subsection{The Mean and Dispersion of the SEDs} We have also derived mean bolometric corrections and mean energy distributions for the sample. We have excluded four objects (Q0923+129, Q1244+026, Q1351+695, and Q2209+184) from these calculations because of the large uncertainties in the starlight subtraction for those objects. In Table 17, the median, mean and standard deviation of the bolometric corrections at a given band are given, followed by the minimum and maximum values found in the sample. Errors in the determination of individual energy distributions have been ignored for the purposes of this table. To estimate bolometric luminosity from a rest frame luminosity at B, the value of $\nu L_\nu$ at B may be multiplied by the median derived visual bolometric correction in Table 17, approximately a factor of 12. This is somewhat smaller than the value of 16.5 derived by Sanders et al (1989) in their study, and the range of actual values of the correction covers a factor of 5. The median value of $N_{Ion}R/L_{Bol}$ found in our sample is 0.12. This means that for a quasar of bolometric luminosity of $10^{44} \mbox{erg s$^{-1}$}$ the corresponding median rate of emission of ionizing photons is $N_{Ion}=5.5\times10^{53} \mbox{photons s$^{-1}$}.$ The median value of the mean ionizing photon energy is found to be 2.8 Rydberg. In figures 36 and 37 we present the quasar mean energy distribution (MED). This distribution is obtained by normalizing the individual starlight-subtracted energy distributions and smoothing them with a $\Delta\log(\nu)=0.2$ boxcar. The mean of $\log(\nu L\nu)$ is then calculated using the Kaplan-Meier estimator (Feigelson and Nelson 1985). Figure 36 shows the MED for radio-quiet and radio-loud quasars separately, over the full frequency range we have studied. Note that the different X-ray slopes for radio-loud and radio-quiet quasars show up clearly, but that the MED for radio-loud and radio-quiet quasars is indistinguishable in the UVOIR region. We have normalized the MEDs at $\munorm~\mu\mbox{m}$, the approximate mean location of the near infrared inflection point. While the MED is a good description of the typical quasar, the full range of SEDs contains considerable variety. Figure 37(a) shows the MED for the combined radio-loud and radio-quiet sample in the UVOIR region, together with contours illustrating the dispersion of the actual energy distributions about the median. The Kaplan-Meier median is in very close agreement with the mean calculated in Fig. 36. Indicated are 68, 90, and 100 percentile contours on each side of the median, calculated using the smoothed Kaplan-Meier estimate of the survival function (Feigelson and Nelson 1985, Miller 1981). The narrowness at \munorm~microns is an artifact of the normalization there; Figure 37(b) shows the results obtained when the energy distributions are normalized by their total UVOIR (100 micron -- 1000 $\AA$) luminosity. The 68 percentile distribution is within a factor of 2-3 of the mean throughout, so the mean is revealing something about the nature of quasars. However, the 90 percentile width is a factor of 20, and the extremes are a factor of 30 in the UV and 60 in the far IR. The distributions are broader than would be expected from a Gaussian distribution. The MED and its dispersion will be discussed in more detail in a future paper. Here we note that the large dispersion of shapes in individual objects means that the MED should be used only with caution, and that the variety of shapes should contain information about the physics of quasars. Our MED is in good agreement with that of Sanders et al (1989) except in the far infrared at 60 microns and beyond, where the inclusion of upper limits lowers the estimate of the mean. Our results for radio-quiet quasars are compared with the corresponding Sanders et al results in Fig. 38. \section{Conclusions} We have collected a set of data useful for many investigations. In particular, these data will serve as a benchmark against which to compare the energy distributions of high redshift quasars. The data are available in FITS BINTABLE format by anonymous ftp from sao-ftp.harvard.edu in directory `pub/jcm/qed'. The uncorrected, observed frame data are tabulated in Appendix B. \acknowledgements This work was carried out as part of NASA Astrophysics Data Program grant NAG8-689 and Long Term Space Astrophysics Research Program grant NAGW-2201, NASA HEAO contract NAS 8-30751, and NASA IUE grants NAG5-87, NAG5-37. We acknowledge useful discussions with %[include AAS membership list here, esp.] Richard Barvainis, Ski Antonucci, Nat Carleton, Walter Rice, Olga Kuhn, Aneta Siemiginowska, Bozena Czerny, and Diana Worrall. Data for this paper were obtained from the Einstein Data Bank, the IUE Reduction and Data Analysis Facility, and the IRAS data bank at IPAC, and we thank the staff at those facilities for their support. JCM thanks the National Research Council for support as a NAS/NRC Associate during part of this project. BJW acknowledges support from the US Rosat Science Data Center. \newpage \begin{references} \reference \phantom{reference} \reference Adam, G. 1978, A\&AS {\xem 31}, 151 \reference Adam, G. 1985, A\&AS {\xem 61}, 225 \reference Antonucci, R. R. J., and Barvainis, R. 1988, ApJ {\xem 325}, L21 \reference Antonucci, R. R. J., Barvainis, R., and Alloin, D. 1990, ApJ {\xem 353}, 416 \reference Arnaud, K.A., et al. 1985, MNRAS {\xem 217}, 105 \reference Azusienis, A., and Straizys, V. 1969, AZh {\xem 46}, 2, 402 \reference Barvainis, R., Antonucci, R. R. J. 1989, ApJS 70, 257 \reference Bezler M., Kendziora E., Stubert R., Hasinger G., Pietsch W., Reppin C., Truemper J., Voges W. 1984, A\&A {\xem 136}, 351 \reference Binggeli, B., Sandage, A., and Tarenghi, M. 1984, AJ, {\xem 89}, 64 \reference Bolton, J.G., and Butler, P.W. 1975, Australian J. Phys. Suppl., {\xem 34}, 33 \reference Bolton, J. G., Wall, J. V., Shimmins, A. J. 1971, Australian J. Phys. {\xem 24}, 889 \reference Boroson, T.A., and Oke, J.B. 1984, ApJ {\xem 281}, 535 \reference Boroson, T.A., Oke, J.B., and Green, R.F. 1982, ApJ {\xem 263}, 32 \reference Boroson, T.A., Persson, S.E, and Oke, J.B. 1985, ApJ {\xem 293}, 120 \reference Burstein, D., and Heiles, C. 1978, ApJ, {\xem 225}, 40 \reference Carleton N.P.,Elvis M., Fabbiano G., Lawrence A., Ward M.J. and Willner S.P. 1987, ApJ {\xem 318}, 595 \reference Chini, R., Kreysa, E. and Biermann, P.L. 1989, A\&A {\xem 219}, 87 \reference Clegg, P. et al. 1983, ApJ {\xem 273}, 58 \reference Coleman, G.D., Wu, C.C., and Weedman, D.W. 1980, ApJS {\xem 43}, 393 \reference Comastri, A., Setti, G., Zamorani, G., Elvis, M., Wilkes, B.J., McDowell, J.C., and Giommi, P. 1992, ApJ {\xem 384}, 62 \reference Condon, J. J., and Broderick, J. J. 1988, AJ {\xem 96}, 30 \reference Condon J. J., O'Dell S. L., Puschell J. J. and Stein W. 1981, ApJ {\xem 246}, 624 \reference Cutri R. M., Wisneiewski W. Z., Rieke G. H. and Lebofsky M. J. 1985, ApJ {\xem 296}, 423 \reference Czerny, B. and Elvis, M. 1987, ApJ {\xem 321}, 305 \reference de Jong, et. al. 1984, ApJ {\xem 278}, L67 \reference de Vaucouleurs, A., and Longo, G. 1988, {\it Catalog of Visual and Infrared Photometry of Galaxies from $0.5\mu$m to $10 \mu$m (1961-1985),} Univ. Texas Mono. Astr., No. 5. \reference Della Ceca, R., Palumbo, G. G. C., Persic, M., Boldt, E. A., DeZotti, G., and Marshall, F. E. 1990, ApJS {\xem 72}, 471 \reference Dickey J. M., Salpeter, E., and Terzian, Y. 1978, ApJS {\xem 36},77 \reference Edelson, R. A. 1987, ApJ {\xem 313}, 651 \reference Edelson, R. A., Krolik, J. H. and Pike, G. F. 1990, ApJ {\xem 359}, 86 \reference Edelson, R. A. and Malkan, M. A. 1986, ApJ {\xem 308}, 59 \reference Edelson, R. A., Malkan, M. A., and Rieke, G. H. 1987, ApJ {\xem 321}, 233 \reference Ekers, J. A. 1969, Australian J. Phys. Suppl., {\xem 7}, 1 \reference Elias, J. H. Frogel, J. A., Matthews, K., and Neugebauer, G. 1982, AJ {\xem 87}, 1029 \reference Elsmore, B., and Ryle, M., 1976, MNRAS 174, 411 \reference Elvis M., Green R. F., Bechtold J., Schmidt M., Neugebauer G., Soifer B. T., Matthews K. and Fabbiano G., 1986, ApJ, {\xem 310}, 291 \reference Elvis, M., Lockman, F., and Wilkes, B.J. 1989, AJ {\xem 97}, 777 \reference Elvis, M., Giommi, P., Wilkes, B.J., and McDowell, J. C. 1991, ApJ, {\xem 378}, 537 \reference Engargiola, G., Harper, D.A., Elvis, M., and Willner, S. P. 1988, ApJ, {\xem 332}, L19 \reference Ennis, D. J., Neugebauer, G., and Werner, M. 1982, ApJ {\xem 262}, 460 \reference Feigelson, E. D., Isobe, T. and Kembhavi, A. 1984, AJ {\xem 89}, 1464 \reference Feigelson, E. D., and Nelson, P. I. 1985, ApJ 293, 192 \reference Frogel, J. 1985, ApJ {\xem 298}, 528 \reference Gehren, T., Fried, J., Wehinger, P.A., and Wyckoff, S., 1984, ApJ, {\xem 278}, 11 \reference Giacconi, R., et al. 1979, ApJ {\xem 230}, 540 \reference Glass, I. S. 1986, MNRAS {\xem 219}, 5P \reference Gorenstein, P., Harnden, R.F., and Fabricant, D. 1981, IEEE Trans. Nucl. Sci., NS-28, 869 \reference Gower, A.C. and Hutchings, J.B. 1984. AJ {\xem 89}, 1658 \reference Gregory, P. C., and Condon, J. J. 1991, ApJS {\xem 75}, 1011 \reference Griersmith, D., and Visvanathan, N. 1979, A\&A {\xem 79}, 329 \reference Harris, D.E., et al. 1991, {\it The Einstein Observatory Catalog of IPC X-ray Sources}, SAO HEAD CD-ROM Series 1 (Einstein), Set 4, Disk No. 7. \reference Hayes, D. S., 1985, in IAU Symposium 111, eds. Hayes, D.S. et al., 225. \reference Heiles. C., and Cleary, M.N. 1979, Australian J. Phys. Suppl., {\xem 47}, 1 \reference Hintzen, P., Ulvestad, J., and Owen, F. 1983, AJ {\xem 88}, 709 \reference Hutchings, J.B., Crampton, D., and Campbell, B. 1984, ApJ {\xem 280}, 41 \reference Hutchings, J.B., and Gower, A.C., 1985, AJ {\xem 90}, 405. \reference Hutchings, J.B., Janson, T., and Neff, S. G., 1989, ApJ {\xem 342}, 660. \reference Hutchings, J.B., Johnson, I., and Pyke, R. 1988, ApJS {\xem 66}, 361 \reference Hutchings, J.B., Price R., and Gower A.C. 1988, ApJ 329, 122 \reference Hyland, A.R., and Allen, D.A. 1982, MNRAS {\xem 199}, 943 \reference Jagers, W. J., van Breugel, W. J. M., Miley, G. K., Schillizzi, R. T., and Conway, R. G. 1982, A\&A {\xem 105}, 279 \reference Johnson, H. L. 1965, ApJ {\xem 141}, 923 \reference Kellermann, K. I., Sramek, R., Shaffer, D., Green, R., and Schmidt, M. 1989, AJ {\xem 98}, 1195 \reference Kinney, A, Bohlin, R. C., Blades, J. C., and York, D. G. 1991, ApJS {\xem 75}, 645 \reference Kormendy, J. 1977, ApJ {\xem 218}, 333 \noindent Kriss, G. 1988. Ap.J, {\xem 324}, 809. \reference Kurucz, R. L. 1979, ApJS {\xem 40}, 1 \reference Landau R., Epstein, E. E., and Rather, J. D. G. 1980, AJ {\xem 85,} 363 \noindent Landau R., et al, 1986, Ap.J., {\xem 308}, 78. \reference Lonsdale C., and Morison I., 1983, MNRAS, 203, 833 \reference Low, F. J., Huchra, J. P., Kleinmann, S. G., and Cutri, R. M. 1988, ApJ {\xem 327}, L41 \reference MacKenty, J.W. 1990, ApJS {\xem 72}, 231 \reference Malkan M. A. 1983, ApJ {\xem 268}, 582 \reference Malkan M. A. and Sargent W. L. W. 1982, ApJ {\xem 254}, 22 \reference Manduca, A. and Bell, R. A. 1979, PASP 91, 848. \reference Masnou J.-L., Wilkes, B. J., Elvis, M., McDowell, J. C., and Arnaud, K. A. 1992, A\&A {\xem 253}, 35 \reference McAlary, C. W., McLaren, R. A., McGonegal, R. J., and Maza, J. 1983, ApJS {\xem 52}, 341 \reference Meurs, E. J. A., and Wilson, A.S. 1981, A\&AS {\xem 45}, 99 \reference Miley, G. K., and Hartsuijker, A. P. 1978, A\&AS {\xem 34}, 129 \reference Miller, R.G., Jr., 1981, Survival Analysis (Wiley: New York). \reference Mountain, C.M., Leggett, S. K., Selby, M. J. and Zadrozny, A. 1985, A\&A 150, 281 \reference Mushotzky R.F. 1984, Advances in Space Research, {\xem 3}, no. 10-13, 312 \reference Neizvestnii, S.I. 1986, Soobshcheniya Spetsial'noi Astrofisicheskoi Observatorii, 51, 5. \reference Neugebauer, G., Oke, J. B., Becklin, E. E., and Mathews, K. 1979, ApJ {\xem 230}, 79 \reference Neugebauer, G., et. al. 1984, ApJ {\xem 278}, L1 \reference Neugebauer, G., Matthews, K., Soifer, B.T., and Elias, J.H. 1985, ApJ {\xem 298}, 275 \reference Neugebauer, G., Miley, G.K., Soifer, B.T., and Clegg, P.E. 1986, ApJ {\xem 308}, 815 \reference Neugebauer G., Green R.F., Matthews K., Schmidt M., Soifer B.T. and Bennett J. 1987, ApJS, {\xem 63}, 615 (N87). \reference Ohashi, T, et al. 1992, ApJ {\xem 398}, 87 \reference Oke, J., and Gunn, J. 1983, ApJ {\xem 266}, 713 \reference Orr, M.J.L., and Browne, I.W.A. 1982, MNRAS {\xem 200}, 1067 \reference Owen, F., Porcas, R. W., and Neff, S. G. 1978, AJ {\xem 83}, 1009 \reference Owen, F., Porcas, R. W., Mufson, S. L., and Moffett, T. J. 1978, AJ, {\xem 83}, 685 \reference Owen, F., and Puschell, J. 1982, AJ {\xem 87}, 595. \reference Padovani, P., and Rafanelli, P. 1988, A\&A {\xem 205}, 53. \reference Perley, R. A. 1982, AJ {\xem 87}, 859 \reference Pooley, G. G., and Henbest, S. N. 1974, MNRAS {\xem 169}, 477 \reference Preston, R.A., et al. 1985, AJ {\xem 90}, 1599 \reference Price, R.M., and Milne, D.K. 1965, Australian J. Phys, {\xem 18}, 329 \reference Rieke, G. H. 1978, ApJ {\xem 226}, 550 \reference Rieke, G. H. and Lebofsky, M.J. 1985, ApJ {\xem 288}, 618 \reference Robson, E. I., Gear, W. K., Smith, M. G., Ade, P. A. R., and Nolt, I. G. 1985, MNRAS {\xem 213}, 355 \reference Rudnick, L., Sitko, M. L., and Stein, W. A. 1984, AJ {\xem 89}, 753 \reference Rudy, R. J., LeVan, P. D. and Rodriguez-Espinoza, J. M. 1982, AJ {\xem 87}, 598 \reference Sandage A. 1965, ApJ {\xem 141}, 1560 \reference Sanders, D. B., et al. 1989, ApJ {\xem 347}, 29 \reference Savage, B. D., and Mathis, J.S. 1979, ARA\&A {\xem 17}, 73 \reference Saxton, R.D., et al. 1993, MNRAS, 262, 63 \reference Schmidt M. and Green R.F. 1983, ApJ {\xem 269}, 352 \reference Shields G.A. 1978, Nature, {\xem 272}, 706. \reference Shimmins, A.J., and Bolton, J.G. 1972a, Australian J. Phys. Ap. Suppl, {\xem 23}, 1. \reference Shimmins, A.J., and Bolton, J.G. 1972b, Australian J. Phys. Ap. Suppl, {\xem 26}, 1. \reference Shimmins, A.J., and Bolton, J.G. 1981, Australian J. Phys. 34, 471. \reference Shimmins, A. J., Day, G. A., Ekers, R. D., and Cole, D. J. 1966, Australian J. Phys. {\xem 19}, 837 \reference Sitko, M.L., Stein, W.A., Zhang, Y-X, and Wisniewski, W.Z. 1982, ApJ {\xem 259}, 486 \reference Smith, E., Heckman, T.M., Bothun, G.D., Romanishin, W., and Balick, B. 1986, ApJ {\xem 306}, 64 \reference Spencer, R.E., McDowell, J.C., Charlesworth, M., Fanti, C., Parma, P., and Peacock, J.A. 1989, MNRAS {\xem 240}, 657 \reference Stark, A.A., Heiles, C., Bally, J., and Linke, R., 1984, privately distributed magnetic tape. \reference Stark, A. A., Gammie, C. F., Wilson, R. W., Bally, J., Linke, R. A., Heiles, C., and Hurwitz, M. 1992, ApJS 79, 77 \reference Steppe, H., Salter, C.J., Chini, R., Kreysa, E., Brunswig, W., and Lobato Perez, J. 1988, A\&AS {\xem 75}, 317 \reference Sun, W.-H., and Malkan, M. 1989, ApJ {\xem 346}, 68 \reference Swarup, G., Sinha, R.P., and Hilldrup, K. 1984, MNRAS {\xem 208}, 813 \reference Tananbaum, H., Avni, Y., Green, R.F., Schmidt, M., and Zamorani, G. 1986, ApJ {\xem 305}, 57 \reference Thronson, H.A., Jr., Hunter, D.A., Casey, S., Engargiola, G., and Harper, D.A., 1990, in {\it 2nd Wyoming Conference: The Interstellar Medium in External Galaxies}, ed. D.J. Hollenback and H.A. Thronson, Jr., NASA CP-3084, p. 116. \reference Tokunaga, A. 1984, AJ {\xem 89}, 172 \reference Tokunaga, A. 1986, {\it IRTF Photometry Manual.} \reference Treves, A., Bouchet, P., Chiapetti, L, Ciapi, A., Falomo, R., Maraschi, L., and Tanzi, E.G. 1988, ApJ {\xem 330}, 178. \reference Turner, T.J. and Pounds, K.A. 1988, MNRAS {\xem 232}, 463. \reference Turner, T.J. and Pounds, K.A. 1989, MNRAS {\xem 240}, 833. \reference Unger, S.W., Lawrence, A., Wilson, A.S., Elvis, M., and Wright, A.E. 1987, MNRAS, {\xem 228}, 521. \reference Urry, C.M., and Reichert, G. 1988, NASA IUE Newsletter no.34, p.95. \reference Van Breugel W., Miley G., and Heckman T., 1984, AJ 89, 5 \reference Veron-Cetty, M.P., and Veron, P. 1987, {\it ESO Scientific Report,} No. 5. \reference Ward, M., Elvis, M., Fabbiano, G., Carleton, N.P., Willner, S.P., and Lawrence, A. 1987, ApJ {\xem 315}, 74. \reference White, R.L., and Becker, R.H. 1992, ApJS {\xem 79}, 331. \reference Wilkes, B.J., and Elvis, M. 1987, ApJ {\xem 323}, 243 (WE87). \reference Williams, O. R., et al. 1992, ApJ {\xem 389}, 157. \reference Willner, S. P., Elvis, M., Fabbiano, G., Lawrence, A., and Ward, M. J. 1985, ApJ 299, 443 \reference Wills, B.J., 1975, Australian J. Phys. Ap. Suppl, {\xem 38}, 1. \reference Wills B.J., Netzer H. and Wills D. 1985, ApJ, 288, 94. \reference Wills, D. 1979, ApJS {\xem 39}. 291. \reference Wright, A.E., Wark, R.M., Troup, E., Otrupcek, R., Jennings, D, Hunt, A., and Cooke, D.J. 1991, MNRAS {\xem 251}, 330. \reference Yee, H.K.C., and Green, R.F. 1987, AJ {\xem 94}, 618. \reference Zamorani, G., et al. 1981, ApJ {\xem 245}, 357. \end{references} \newpage \centerline{\bf{Figure captions}} \vskip 0.2in \noindent Fig. 1. Examples of radio-loud (4C 34.47, top) and radio-quiet (Mkn 586, bottom) quasar energy distributions, illustrating the main continuum features. The energy distributions show the logarithm of the energy per unit logarithmic frequency interval, in the rest frame. \vskip 0.2in \noindent Fig. 2. Histograms of sample properties. Shaded bins correspond to radio-loud objects, $R_L>1.$ The absolute magnitude is calculated using the corrections of Veron and Veron (1987), but with our value of $\Omega_0$. The bolometric luminosity is derived from the observed energy distributions as described in the text. The monochromatic X-ray luminosity is $\nu L(\nu)$ at 2 keV in the rest frame, estimated from the IPC spectral fits. $R_{CD}$, the ratio of radio core to extended luminosity (Orr and Browne 1982), is an indicator of the source orientation; it was only possible to estimate this for a subset of the sources. \vvs Fig 3. Contour plots of $\chi^2$ goodness of fit as a function of fitted spectral index and foreground hydrogen column density. For details, refer to Wilkes and Elvis (1987). The vertical line indicates the actual galactic hydrogen column. The contours correspond to an increase of $\chi^2$ above the minimum of 2.30, 4.61 and 9.21. \vvs Fig 4. Starlight template used for host galaxy subtraction. Template is shown with energy distribution of PG 1426+015 for comparison, with relative normalization appropriate for the limit of large aperture. Dashed lines illustrate mean IR and X-ray colors of galaxy, not used in subtraction. \vvs Fig 5. Adopted host galaxy luminosities and radii. The solid curve indicates the Bingelli et al (1984) relation. Points marked by open circles are constrained to lie on the curve, while radii for other points are derived using radial profile information as described in the text. The median host galaxy normalization used where specific information is lacking is indicated by the large solid symbol and represents the median of the other points. The well known galaxies M31 and M87 are also plotted on the figure for comparison. \vvs Fig. 6 Host galaxy flux corrections at rest frame H (percent) as a function of absolute visual magnitude. Solid circles indicate corrections made using data on the specific host galaxy, while open circles indicate use of the median normalization. \vskip 0.2in \noindent Fig 7. The observed energy distribution of PG1407+265 from the near infrared to the far ultraviolet. The expected positions of prominent quasar emission lines are indicated for an assumed redshift $z=0.94$. \vskip 0.2in \noindent Figs. 8-19. Rest frame, dereddened continuum energy distributions of the quasar sample. For each object, the panel shows the overall radio to X-ray energy distribution. Figs. 20-35. Rest frame, dereddened continuum energy distributions of the quasar sample, showing the details of the UVOIR ($100 \mu$m to $1000{\rm \AA}$) region. When two panels are present for an object, the upper panel shows the data before host galaxy subtraction, and the lower panel shows the same region after host galaxy subtraction (see text). Fig. 36. The mean quasar energy distribution, normalized at \munorm~microns, for radio-loud (dashed line) and radio-quiet (solid line) quasars. Spectral regions where little or no data are available are omitted. The radio-loud distribution has a rising x-ray spectrum in this plot, while the radio-quiet x-ray spectrum is horizontal. Fig. 37. (a) The median quasar energy distribution in the UVOIR range, normalized at \munorm~microns, and the 68, 90, and 100 (dashed) Kaplan-Meier percentile envelopes, showing the large dispersion from the mean in the far infrared and ultraviolet. (b) The median and percentiles when the energy distributions are normalized by their total 100 micron to 1000$\AA$ luminosity rather than the monochromatic \munorm~micron luminosity. Fig. 38. Comparison of mean energy distributions for radio-quiet quasars. Solid line: UVSX sample using Kaplan-Meier estimator (this paper). Dashed line: UVSX sample with conventional mean, excluding upper limits. Open circles: PG quasars from Sanders et al (1989), using conventional mean. \end{document} \newpage \centerline{\bf{Table captions}} \vvs Table 1. Quasars in the Atlas. (a) The \sam; (b) other quasars for which new observations are tabulated. The $N_H$ value is in units of $10^{20}$ cm$^{-2}$. The `Ref' column indicates references for the $N_H$ value: (1) Elvis, Lockman and Wilkes (1989); (2) Heiles and Cleary (1989); (3) Dickey, Salpeter and Terzian (1978); (4) Stark et al (1984,1992). The classes of object based on optical luminosity and radio spectrum and morphology are: RQ (Radio-quiet); Sy1 (Low luminosity radio-quiet, or Seyfert 1); BAL (Radio-quiet with broad absorption lines); RL (Radio-loud); SL (Radio-loud superluminal); FSC (Flat spectrum compact radio-loud); SSC (Steep spectrum compact radio-loud); and FR2 (Radio-loud Faranoff-Riley class 2 steep spectrum doubles). \vvs Table 2. \sam~quasars: further properties. { %\par\noindent (1) Monochromatic luminosity (erg cm$^{-2}$ s$^{-1}$) at 5400${\rm \AA}$; %\par\noindent (2) Monochromatic luminosity (erg cm$^{-2}$ s$^{-1}$) at 1 keV; %\par\noindent (3) Bolometric luminosity (erg s$^{-1}$); %\par\noindent (4) Absolute visual magnitude assuming $H_0=50,\Omega_0=1$; %\par\noindent (5) Radio loudness; %\par\noindent (6) Browne radio core dominance R parameter; %\par\noindent (7) Energy index at 1 keV; %\par\noindent (8) X-ray loudness: Two-point spectral slope between 2500\AA and 2 keV (rest frame) } \vvs Table 3. X-ray spectral fits using power law model with galactic absorption. References: 1) This paper; 2) Wilkes and Elvis (1987); 3) Masnou et al (1992); 4) Elvis et al (1991); 5) Comastri et al (1992); 6) Turner and Pounds (1989); 7) Williams et al (1992); 8) Ohashi et al (1992); 9) Della Ceca et al (1990); 10) Turner and Pounds (1988); 11) Tananbaum et al (1986); 12) Saxton et al (1993). \vvs Table 4. (a) BVRI CCD photometry on the Johnson system for \sam~quasars. (b) BVRI CCD photometry, for other IPC quasars. (c) UBVRI photometry from Mt. Lemmon. \vvs Table 5. Dereddening values used in Neugebauer et al (1987). These values were used to rederive the as-observed fluxes for the PG objects so that we could apply our own dereddening correction. \vvs Table 6. Near infrared photometry. Magnitudes are on the instrumental system; Vega defined to have magnitude zero in all bands. (a) \sam~quasars at MMT. (b) \other~quasars at MMT. (c) Quasars observed at Mt. Lemmon. Photometry is in 12 arcsecond beam except for those dates marked with an asterisk which are in an 8 arcsecond beam; see Cutri et al (1985) for observational details. \vvs Table 7. Mid infrared photometry. (a) \sam~quasars; (b) Other IPC quasars. Magnitudes as Table 9. \vvs Table 8. IRAS fluxes and upper limits. AO = Additional Observation; LA = Lineadd from survey. The value for 0915+165 is from the Point Source Catalog and that for 1351+695 is from Low et al (1988). \vvs Table 9. Radio observations from the literature. (a) Core fluxes. (b). Fluxes of the extended radio source (core excluded). %\newpage References: (1) Kellerman et al (1989); (2) I. Gioia, private communication; (3) Gower and Hutchings (1984); (4) Unger et al (1987); (5) Preston et al (1985); (6) Feigelson, Isobe and Kembhavi (1984); (7) Rudnick, Sitko, and Stein (1984); (8) Miley and Hartsuijker (1978); (9) Price and Milne (1965); (10) Pooley and Henbest (1974); (11) Perley (1982); (12) Spencer et al (1989); (13) Swarup, Sinha, and Hilldrup (1984); (14) Wills (1979); (15) Owen, Porcas and Neff (1978); (16) Hintzen, Ulvestad and Owen (1983); (17) Antonucci and Barvainis (1988); (18) Hutchings and Gower (1985); (19) Shimmins and Bolton (1981); (20) Bolton and Butler (1975); (21) Wills (1975); (22) Ekers (1969); (23) Shimmins and Bolton (1972a); (24) Shimmins and Bolton (1972b); (25) Meurs and Wilson (1981); (26) Edelson (1987); (27) Gregory and Condon (1991); (28) White and Becker (1992); (29) Wright et al (1991); (30) Jagers et al (1982) \vvs Table 10. Millimetre wave fluxes and upper limits. References: 1) Robson, et al (1985); 2) Owen, etal (1978); 3) Owen and Puschell (1982); 4) Landau, Epstein and Rather (1980); 5) Ennis, Neguebauer and Werner (1982); 6) Clegg, et al (1983); 7) Chini, Kreysa and Biermann (1989); 8) Edelson, Malkan and Rieke 1987; 9) Steppe, et al. 1988; 10) Engargiola et al, 1988; 11) Antonucci, Barvainis and Alloin 1990. \vvs Table 11. Magnitude scale zero points, assuming zero magnitude for Vega. Values are given for an object with the same spectrum as Vega and for an object with a flat energy distribution (power law spectrum $F_\nu\sim\nu^{-\alpha}$ of slope unity). \vvs Table 12. Adopted luminosities and half light radii for host galaxies, derived as discussed in the text. No spatial information was available for objects marked with reference (0), and they have been assigned the median luminosity of the remainder of the sample. References for observational data: (1) Boroson, Oke and Green (1982); (2) Gehren et al (1984); (3) Smith et al (1986); (4) Boroson and Oke (1984); %(5) Boroson, Persson and Oke (1985); (5) McAlary et al (1983); (6) Neugebauer et al (1985); (7) Yee and Green (1987); (8) Hutchings, Crampton and Campbell (1984); (9) Griersmith and Visvanathan (1979). (10) Hutchings, Johnson and Pike (1988); (11) Hutchings, Janson and Neff (1989) (12) Neizvestnii (1986); (13) MacKenty (1990). \vvs Table 13. Estimates of variability at 4 wavelengths. The quantity given is the observed range of variability (maximum value over minimum) followed by the corresponding observational interval in years. \vvs Table 14. Bolometric and UVOIR luminosities, in units of $10^{44}$ \mbox{erg s$^{-1}$}. \vvs Table 15. Decade luminosities, in units of $10^{44}$ \mbox{erg s$^{-1}$}. \vvs Table 16. Octave luminosities, in units of $10^{44}$ \mbox{erg s$^{-1}$}. \vvs Table 17. Bolometric correction factors for UV, visible and infrared monochromatic luminosities. Monochromatic luminosities are defined to be the value of $\nu L(\nu)$ in the rest frame. Mean and standard deviation are given, followed by the minimum and maximum values found in the sample. Errors in the determination of individual energy distributions have been ignored for the purposes of this table. Also listed are estimates of the ionizing flux discussed in the text. \vvs Table A1. Continuum spectrophotometry has been binned into the rest frame bandpasses defined by this table, chosen to avoid strong emission lines as described in the text. Tables A1 to B47 are published on CD-ROM only in ASCII format. Latex formatted printed versions are available from the authors on request. \vvs Table A2. IUE continuum fluxes. Fluxes are measured in bands chosen by rest wavelength to avoid emission lines, but are given in the observed frame. %(a) IUE observations %of the \sam; (b) IUE observations %of other quasars. \vvs Table A3. Optical continuum spectrophotometry. Fluxes are measured in bands chosen by rest wavelength to avoid emission lines, but are given in the observed frame. \vvs Table A4. Extinction law as a function of frequency, based on Savage and Mathis (1979) and Rieke and Lebofksy (1985). Values are relative to the extinction at V. \vvs Table A5. Energy distribution of starlight template used for host galaxy subtraction, normalized at V. \vvs Table B1-B47. Observed frame energy distributions for each individual quasar. \end{document}