Mon. Not. R. Astron. Soc. 427, 3016–3028 (2012)
doi:10.1111/j.1365-2966.2012.21927.x
Discovery of planetary nebulae using predictive mid-infrared diagnostics
Quentin A. Parker,1,2,3⋆ Martin Cohen,4 Milorad Stupar,1,2,3 David J. Frew,1,2
Anne J. Green,5 Ivan Bojicic,1,2,3 Lizette Guzman-Ramirez,6 Laurence Sabin7
and Frédéric Vogt8
1 Department
of Physics & Astronomy, Macquarie University, Sydney, NSW 2109, Australia
Centre for Astronomy, Astrophysics and Astrophotonics, Macquarie University, Sydney, NSW 2109, Australia
3 Australian Astronomical Observatory, PO Box 296, Epping, NSW 1710, Australia
4 Radio Astronomy Laboratory, University of California, Berkeley, CA 94720, USA
5 Sydney Institute for Astronomy, School of Physics, The University of Sydney, NSW 2006, Australia
6 School of Physics & Astronomy, University of Manchester, Jodrell Bank Centre for Astrophysics, Manchester M13 9PL
7 Instituto de Astonomı́a y Meteorologı́a, Departamento de Fı́sica, Universidad de Guadalajara, Av. Vallarta 2602, Guadalajara, Jal., Mexico
8 Mount Stromlo Observatory, Research School of Astronomy & Astrophysics, The Australian National University, Cotter Road, Weston Creek, ACT 2611,
Australia
2 Research
ABSTRACT
We demonstrate a newly developed mid-infrared (MIR) planetary nebula (PN) selection technique. It is designed to enable efficient searches for obscured, previously unknown, PN candidates present in the photometric source catalogues of Galactic plane MIR sky surveys. Such
selection is now possible via new, sensitive, high-to-medium resolution, MIR satellite surveys
such as those from the Spitzer Space Telescope and the all-sky Wide-field Infrared Survey
Explorer satellite missions. MIR selection is based on how different colour–colour planes
isolate zones (sometimes overlapping) that are predominately occupied by different astrophysical object types. These techniques depend on the reliability of the available MIR source
photometry. In this pilot study, we concentrate on MIR point-source detections and show
that it is dangerous to take the MIR GLIMPSE (Galactic Legacy Infrared Mid-Plane Survey
Extraordinaire) photometry from Spitzer for each candidate at face value without examining
the actual MIR image data. About half of our selected sources are spurious detections due
to the applied source detection algorithms being affected by complex MIR backgrounds and
the deblending of diffraction spikes around bright MIR point sources into point sources themselves. Nevertheless, once this additional visual diagnostic checking is performed, valuable
MIR-selected PN candidates are uncovered. Four turned out to have faint, compact, optical
counterparts in our Hα survey data missed in previous optical searches. We confirm all of
these as true PNe via our follow-up optical spectroscopy. This lends weight to the veracity of
our MIR technique. It demonstrates sufficient robustness that high-confidence samples of new
Galactic PN candidates can be extracted from these MIR surveys without confirmatory optical
spectroscopy and imaging. This is problematic or impossible when the extinction is large.
Key words: H II regions – planetary nebulae: general – infrared: ISM – radio continuum:
general.
1 I N T RO D U C T I O N
We present an investigation into the potential of mid-infrared (MIR)
survey data from the Spitzer and Wide-field Infrared Survey Explorer
(WISE) space satellite missions as a tool to uncover planetary nebula
(PN) candidates that would be hard or impossible to locate optically.
The motivation is to develop MIR PN candidate selection techniques
⋆ E-mail:
[email protected]
that can be used to uncover the significant numbers of Galactic PNe
which are believed to be hidden behind extensive curtains of dust.
PNe are important astrophysical objects and key windows into
late stage stellar evolution. They play a major role in galaxy chemical evolution (Dopita et al. 1997; Karakas et al. 2009), return
significant enriched mass to the interstellar medium (Iben 1995)
and are powerful kinematic tracers due to their strong emission
lines (e.g. Durand, Acker & Zijlstra 1998). Over the last decade,
Galactic PN discoveries have entered a golden age due to the advent of narrow-band Galactic plane surveys of high sensitivity and
C 2012 The Authors
C 2012 RAS
Monthly Notices of the Royal Astronomical Society
Downloaded from https://academic.oup.com/mnras/article/427/4/3016/972269 by guest on 05 July 2022
Accepted 2012 August 14. Received 2012 August 13; in original form 2012 May 13
New PNe selected in the mid-infrared
Table 1. The six GLIMPSE-I MIR colour–colour selection criteria applied
to the point-source archive based on median colours ±3 SEM of the 136
known PNe in the GLIMPSE-I footprint.
IRAC
colour
Median
colour
Lower
bound
Upper
bound
[3.6]−[4.5]
[3.6]−[5.8]
[3.6]−[8.0]
[4.5]−[5.8]
[4.5]−[8.0]
[5.8]−[8.0]
0.81
1.73
3.70
0.86
2.56
1.86
0.57
1.43
3.37
0.56
2.23
1.65
1.05
2.03
4.03
1.16
2.89
2.07
C 2012 The Authors, MNRAS 427, 3016–3028
C 2012 RAS
Monthly Notices of the Royal Astronomical Society
had faint optical detections in the available Hα survey images and
are the basis of the optical spectroscopic follow-up. Most Galactic PNe are well resolved and will not be found in searches of the
GLIMPSE-I point-source archive which also has very restricted
Galactic latitude coverage. These factors substantially reduce the
number of obscured PN candidates returned here.
Section 2 gives the background importance and context of this
MIR PN study. Section 3 briefly describes current knowledge of PN
characteristics at non-optical wavelengths and the importance of
eliminating mimics. Section 4 describes the candidates’ MIR selection. Section 5 gives our new study into MIR false-colour imagery
as a powerful diagnostic tool. Section 6 presents the spectroscopic
follow-up of the four optical counterparts to our MIR-selected PN
candidates. They are all confirmed as PNe. An additional, serendipitous PN found adjacent to one of our optically detected MIR sources
is also confirmed. Some basic characteristics of the new PNe are
also presented. In Section 7, we provide some conclusions and suggestions for future work.
2 P N D I S C OV E R I E S AT N O N - O P T I C A L
WAV E L E N G T H S
Jacoby & Van de Steene (2004) undertook early work with an onband, off-band [S III] 9532 Å emission-line survey in the Galactic
bulge as this is a prominent PN line in the far red. They found
94 candidate PNe though many still require confirmation. More
generally, significant PN candidates have been selected via their
Infrared Astronomical Satellite (IRAS) colours but confirmatory
success rates have been low, compounded by the large IRAS error
ellipse (e.g. Suárez et al. 2006; Ramos-Larios et al. 2009). This is
an inefficient technique not considered further. More recently, MIR
space-telescope images from Spitzer (Werner et al. 2004) and now
WISE (Wright et al. 2010) allow the detection of very reddened
PNe that may be invisible optically (e.g. Cohen et al. 2005; Kwok
et al. 2008; Phillips & Ramos-Larios 2008; Zhang & Kwok 2009;
Zhang, Chih-Hao & Kwok 2012). Carey et al. (2009) and Mizuno
et al. (2010) noted 416 compact but resolved (<1 arcmin) ring, shell- and disc-shaped sources in the Galactic plane in 24-µm
Spitzer MIPSGAL images [MIPSGAL is an extensive IR survey of
the Galactic plane using the Spitzer Multiband Imaging Photometer
(MIPS) instrument, see Rieke et al. 2004]. Based on experience
we think many will be strongly reddened PNe with only a minority
being circumstellar nebulae around massive stars (Gvaramadze et al.
2010; Wachter et al. 2010).
PNe can be strong NIR and MIR emitting objects. This is because of their polycyclic aromatic hydrocarbon (PAH) emission,
fine structure lines like [O IV] at 25.89 µm (e.g. Chu 2012), thermal
dust emission within the nebulae and from circumnuclear discs and
H2 molecular lines [e.g. the United Kingdom Infrared Telescope
(UKIRT) Wide-field Infrared Survey for H2 (UWISH); Froebrich
et al. 2011]. Papers I and II analysed optically detected known PNe
and PN candidates in the Spitzer GLIMPSE-I survey (Benjamin
et al. 2003) to develop robust, multiwavelength classification and
diagnostic tools that provide purer PN samples in heavily obscured
regions. GLIMPSE-I is the 2◦ wide Spitzer mid-plane survey. The
goal is to recognize quality PN candidates solely using MIR and radio characteristics, enabling the search for hidden PNe when heavy
extinction prevents optical spectra and images.
2.1 Eliminating non-PN contaminants
Non-PN contaminants have badly undermined the integrity of preMASH PN catalogues. Objects with extended emission can often
Downloaded from https://academic.oup.com/mnras/article/427/4/3016/972269 by guest on 05 July 2022
resolution. This has been coupled to complementary, multiwavelength surveys across near-infrared (NIR), MIR and radio regimes
in particular from both ground- and space-based telescopes. These
have provided powerful diagnostic and discovery capabilities (e.g.
Cohen et al. 2007, 2011, hereafter Papers I and II; Phillips & RamosLarios 2008; Ramos-Larios et al. 2009; Miszalski et al. 2011; Anderson et al. 2012).
The total number of known Galactic PNe is currently ∼3000,
double what it was a decade ago. This is largely due to the ∼1200
PNe found by the two Macquarie/AAO/Strasbourg Hα PNe surveys
(MASH; Parker et al. 2006; Miszalski et al. 2008). MASH PNe were
uncovered via scrutiny of the sensitive, arcsecond-resolution SuperCOSMOS AAO/United Kingdom Schmidt Telescope (UKST) Hα
Survey of the Southern Galactic plane (SHS; Parker et al. 2005).
These are now being supplemented by equivalent discoveries in
the Northern Galactic plane (e.g. Mampaso et al. 2006; Viironen
et al. 2009a,b; Sabin et al. 2010) arising from careful searches of
the Isaac Newton Telescope Photometric Hα Survey (IPHAS) data
(Drew et al. 2005). However, these combined numbers still fall a
factor of 2 short of even the most conservative Galactic PN population estimates (Jacoby et al. 2010) where population synthesis
yields 6600–46 000 PNe depending on whether the binary hypothesis for PN formation is required (e.g. De Marco 2009). Significant
numbers of PNe are faint and highly evolved as shown to exist in
the local volume sample of Frew & Parker (2006) and Frew (2008).
They rapidly become undetectable at distances greater than a few
kpc. Such objects currently remain beyond detectability.
However, there are also serious problems with obtaining truly
representative samples of PNe across the galaxy due to variable
extinction. It is clear that a significant population of Galactic PNe
is lurking behind the extensive clouds of gas and dust that obscure
large regions in the optical regime. It is the extension of previous
PN discovery techniques away from the optically dominant [O III]
PN emission line in unreddened spectra to the longer wavelength
Hα emission line (that can peer at least partially through the dust)
that has led to the major, recent discoveries. Extension of PN identification techniques to longer, more favourable wavelengths would
clearly be advantageous.
For this pilot study, six MIR colour–colour selection criteria were
simultaneously applied to the 49 million entries in the Galactic
Legacy Infrared Mid-Plane Survey Extraordinaire I (GLIMPSE-I)
point-source archive. These criteria are based on sources within
three standard errors of the median (SEM) values of the six unique
MIR colours of the 136 previously known PNe that fall within
the GLIMPSE-I footprint and are presented in Table 1. These are
assumed representative of the overall Galactic PN population as
given in Paper I. Only 70 candidate sources were returned. About
half turned out to be spurious once the MIR image data were examined. Despite significant extinction, four of the remaining sources
3017
3018
Q. A. Parker et al.
3 S E L E C T I O N O F P N C A N D I DAT E S F RO M
THE GLIMPSE-I ARCHIVE
We want robust MIR selection criteria to identify quality PN candidates in highly obscured Galactic plane regions where the current
PN number density is unsurprisingly low. The zones of avoidance
in optically identified PN samples are due to extinction, particularly
in the bulge (e.g. see fig. 6 of Miszalski et al. 2008) but the PNe
must be there.
Paper I offered three MIR colour–colour planes designed to isolate the PN domain from diffuse and compact/ultracompact H II
regions which are the dominant PN catalogue contaminants. PN
median colours were derived from the 136 known PNe in the
GLIMPSE-I survey (see Table 1). We use our integrated photometry for each source (resolved or compact) from the Spitzer Infrared
Array Camera instrument (IRAC; Fazio et al. 2004) at 3.6, 4.5, 5.8
and 8.0 µm. These bands provide six colour indices examined for
clear trends and loci (e.g. see figs 9, 11 and 12 in Paper II). Although
most of the 136 known PNe are extended, for this pilot study we
concentrate on applying our MIR PN selection criteria to entries
in the GLIMPSE-I archive which includes only point-like sources
resolved by Spitzer/IRAC. Prospects for uncovering new resolved
MIR PN candidates (e.g. as found by Mizuno et al. 2010) will be
the basis of a separate paper.
Using our median IRAC PN colours from Paper I and adopting the
SEM values, we used the NASA Infrared Science Archive (IRSA)
search tool to query all 49 million point sources in the GLIMPSE-I
spring 2007 archive. This is deeper, but with slightly larger photometric uncertainties, than the 31 million sources in the GLIMPSE-I
catalogue. Objects whose IRAC colour indices simultaneously satisfy all six colour–colour selection criteria and therefore fall within
the median ±3 SEM boxes defined in table 4 in Paper I were selected. This applies the maximum rigour to our search for new PNe
and the greatest rejection of H II regions. The resulting MIR colour
selection returned 70 PN candidates.
Such a search does not return all 136 known PNe in Paper II or all
possible unknown PNe in the GLIMPSE-I footprint. There are four
main reasons. First, known PNe are usually extended and will not
appear in the GLIMPSE-I point-source archive. Secondly, due to
heavy extinction close to the Galactic plane, many MIR point-source
candidates have no optical counterpart so are unlikely to have been
previously identified. Thirdly, most known PNe (∼80 per cent) fall
outside the median ±3 SEM MIR colour–colour boxes. Fourthly,
not every PN has a signature or reliable photometric measurement
in each IRAC band. Moreover, only 60 per cent of known PNe
can be separated from their local background by false colour or
colour index (Paper II), while 40 per cent lack the data to define
false colour or have only poor quality photometry. Of the 17 known
PNe that fall within the median ±3 SEM of the [3.6]−[4.5] versus
[5.8]−[8.0] MIR colour–colour box shown in Fig. 3, 69 per cent are
compact with major axes <10 arcsec. We do expect to recover the
most compact/barely resolved known PNe that fulfil our criteria.
3.1 Matches with known PNe and uncovered positional errors
We searched for counterparts within 30 arcsec of the 70 MIRselected PN candidates using SIMBAD (Wenger et al. 2000). In
this way, resolved sources (like PNe) that may have compact MIR
cores not coincident with the centre of the nebula would be selected.
Two candidates are associated with known PNe: Hen 2-84 (ESO 959; PN G300.4−00.9), a relatively compact bipolar PN ∼30 arcsec
across and K 3-42 (PNG 056.4−00.9) a very compact, point-like
PN ∼3.5 arcsec across. The bipolar PN is seen as an MIR point
source because of a bright, coincident MIR source perhaps due to
a compact, heated (circumstellar) dust torus close to the central
star or even a late-type binary companion. It is also seen in the
SuperCOSMOS Sky Survey (SSS; Hambly et al. 2001) I-band data.
We have assumed throughout that SIMBAD offers a reasonably
complete inventory of likely catalogued cross-identifications for
our candidates.
Kerber et al. (2003) provide incorrect J2000 coordinates for K
3-42 of 19h 39m 36.s 0 + 20◦ 19′ 07′′ . The actual Hα source in the astrometrically calibrated IPHAS and SHS surveys is at 19h 39m 35.s 8 +
20◦ 19′ 02′′ , ∼7 arcsec away (though still matched with the true
GLIMPSE-I source by the larger initial SIMBAD search radius).
Given the source’s compact nature and high stellar density this offset is significant. The literature position gives an incorrect match
to the GLIMPSE-I source SSTGLMC G056.4034−00.9035 for
K 3-42. The true GLIMPSE-I source and the one with the appropriate MIR colours is SSTGLMA G056.4016−00.9033 (<1 arcsec
from our corrected position).
Pe 2-8 (ESO 177-3) is a known, compact PN in the list of 136 but
was not returned from the GLIMPSE-I search. SIMBAD returns the
associated GLIMPSE-I source SSTGLMC G322.4689−00.1778
but it only passes three of the six MIR point-source colour–colour
criteria applied. None of the more abundant, well-resolved and/or
nearby PNe register as a point source in the GLIMPSE-I archive
unless they contain an associated MIR star (as for Hen 2-84). Nevertheless, these eventual matches between the MIR sources and
their true optical counterparts (once accurate coordinates are used)
show that the method has successfully retrieved two out of the
three compact known PNe that were likely to be in the GLIMPSE-I
point-source catalogue.
C 2012 The Authors, MNRAS 427, 3016–3028
C 2012 RAS
Monthly Notices of the Royal Astronomical Society
Downloaded from https://academic.oup.com/mnras/article/427/4/3016/972269 by guest on 05 July 2022
masquerade as PNe. These include compact H II regions (Cohen
et al. 2011), Strömgren zones (Madsen et al. 2006; Frew et al.
2010), ejecta shells around Wolf–Rayet and other massive stars
(e.g. Marston 1997; Chu 2003; Stock & Barlow 2010), supernova
remnants (e.g. Stupar et al. 2007; Stupar, Parker & Filipović 2011),
symbiotic systems (e.g. Corradi 1995; Corradi et al. 2008, 2010),
Herbig–Haro objects and their kin (Canto 1981), as well as nova
shells and bow-shock nebulae (Frew & Parker 2010). Identification is further complicated by the variety of morphologies, ionization properties and surface brightness distributions exhibited by the
PN family itself. We have tested and developed criteria to more
effectively eliminate contaminants using new multiwavelength
surveys combined with emission-line ratios from follow-up
spectroscopy. This has enabled clear discrimination tools to be developed (see Frew & Parker 2010).
In Paper II, we applied these criteria to our MIR samples of known
optically detected Galactic PNe seen in GLIMPSE-I and that overlap with the SHS (i.e. |b| ≤ 1◦ and from 210◦ through 360◦ to 40◦ in
the Galactic longitude). This showed that 45 per cent of previously
known pre-MASH PNe are H II region contaminants. The MASH
contaminant fraction was only 5 per cent in the same zone as these
discrimination techniques had already been applied to MASH. Furthermore, external filaments, structures and/or amorphous haloes
seen for MIR sources generally indicate an H II region. This is
an important MIR diagnostic for discriminating resolved MIR H II
regions from objects such as PNe as both object types can look
similar optically. In a similar vein, Anderson et al. (2012) use IR
data from Herschel (Hi-Gal), WISE, MIPSGAL and GLIMPSE to
independently establish IR selection criteria to distinguish between
H II regions and PNe.
New PNe selected in the mid-infrared
3.2 The MIR-selected PN candidates
3.3 MIR PN candidates with optical counterparts
The MIR PN candidate selection is validated if some are shown
to be PN. As many MIR candidates lie in obscured regions, it was
important to search for optical counterparts in the Hα survey images
that would permit confirmatory optical spectroscopy. Consequently,
false-colour Red-Green-Blue (RGB) optical images (2 × 2 arcmin)
of each of the 70 sources were created using the online SHS data
with Hα as red, matching short red (SR) as green and the broad-band
SSS BJ image as blue. Quotient images from dividing the Hα image
by its matching SR counterpart were also created. These images
highlight Hα emitters. Four objects with detectable Hα emission at
the MIR position were identified, indicating an optical counterpart.
False-colour 1.5×1.5 arcmin images of these four optically detected
candidates are given in Fig. 1. The left-hand panels comprise the
optical false-colour images. Note the faintness of the sources in Hα.
The middle panels are the Hα/SR quotient images which clearly
reveal the compact emitting sources. The right-hand panels are the
IRAC432 colour combination with RGB = [8.0], [5.8] and [4.5] µm.
The similar orange–red false colours for all PN candidates in the
IRAC432 images are evident.
3.4 Serendipitous PN ‘discovery’ next to optical MIR PN
candidate GLIPN1557−5430
A compact Hα source was noticed in the 2 × 2 arcmin RGB
Hα/SR/BJ finding chart 61 arcsec away from GLIPN1557−5430,
one of the MIR PN candidates with an optical counterpart. Very
few Galactic PNe have a companion within 1 arcmin (Parker et al.
2006). This source was previously identified as a possible PN based
on its far-IR IRAS colours. It is listed as object 10 in table 2 of
Phillips & Ramos-Larios (2008) and listed as a post-asymptotic giant branch/PN candidate in table 1 of Ramos-Larios et al. (2009)
with an IRAS identification and designated PM 1-104. The SIMBAD coordinates are from these references but it has never been
C 2012 The Authors, MNRAS 427, 3016–3028
C 2012 RAS
Monthly Notices of the Royal Astronomical Society
confirmed as a PN until now (see below). PM 1-104 is not among the
70 MIR-selected sources as it satisfies only three of the six colour–
colour selection criteria. Many known PNe fall outside the ±3 standard deviations from the median colour–colour selection criteria
though those that fall inside are more likely to be true PNe as this is
the purest MIR colour–colour space for known PNe. The source is
compact, of relatively high surface brightness optically and has very
similar MIR false colours to true PNe. Furthermore, like for K 3-42,
the published position of Ramos-Larios et al. (2009) is erroneous
by ∼8 arcsec.
Our optical and MIR colour montages reveal the source to be
at 15h 57m 21.s 0 − 54◦ 30′ 46′′ (J2000) and not at the 15h 57m 20.s 4 −
54◦ 30′ 40′′ position reported in the literature. We included this object
in our list for spectroscopic observation. The MIR IRAC colours
for the four new optical counterparts together with PM 1-104 and
the two known PNe in the MIR sample are given in Table 2. None
of these optically detected sources (except PM 1-104) is previously
known or recorded in MASH because they are very faint, compact
and extremely hard to find. The remaining sources do not appear to
have any detectable Hα emission.
We have uncovered two significant published positional errors for
PNe/possible PNe in this small sample. We are completely revising
the published coordinates for all known and MASH PNe based on
new multiwavelength imaging with decent astrometry to provide the
definitive list of accurate PN positions (Parker et al., in preparation).
We have shown that the situation reported above is common with the
literature positions for over 100 PNe out by >10 arcsec compared
to our own accurate values based on the latest surveys and accurate
astrometric solutions.
4 T H E D I AG N O S T I C P OW E R O F M I R
FA L S E - C O L O U R I M AG E RY
In Paper I, we showed that PNe have only three basic colours in our
combined IRAC-band false-colour images: red, orange and violet.
This is due to the combination of PN narrow atomic and molecular lines, PAH bands of modest width and sometimes broad dust
emission that comes through these bands, giving PNe their distinct
hues and providing a valuable visual diagnostic. Similarly, Two
Micron All Sky Survey (2MASS) J , H , Ks false colours of PNe
are violet or pink/purple when they are detected. The advent of
the Vista Variables in the Via Lactea (VVV) NIR survey in the
Y , Z, J , H , Ks photometric bands (Saito et al. 2012) enables us
to search for these MIR-selected PN candidates in the NIR afresh.
VVV has the same J , H , Ks passbands as 2MASS, but depth and
resolution are far superior and extend ∼4 mag deeper than 2MASS
(Saito et al. 2012). Miszalski et al. (2011) used the equivalent Vista
data for the Large Magellanic Cloud (the VMC survey; Cioni et al.
2011) to show that many PNe can be seen in these high-quality
NIR data. They showed that by constructing SEDs across a broad
wavelength range from extant wide-field sky surveys, it is possible to discriminate among different astrophysical sources including
PNe.
As an example we present in Fig. 2 multiwavelength 1.5 ×
1.5 arcmin false-colour montages of PM 1-104 and GLIPN1577−
5430 which, given their angular proximity, both appear in these extractions which are centred mid-way between the two sources. This
figure demonstrates the power of multiwavelength, false-colour imagery applied to PNe. The nature of the colour images is given at the
bottom right of each image. The literature position for PM 1-104
is seen offset from the brighter source itself, revealing the noted
positional error. In the VVV J , H , Ks image both PNe are pink
Downloaded from https://academic.oup.com/mnras/article/427/4/3016/972269 by guest on 05 July 2022
Among the 70 returned MIR candidates, 29 (42 per cent) have no
current catalogued identification within 30 arcsec in SIMBAD. Reducing the search radius to 2 arcsec, a reasonable choice given the
point-source nature of GLIMPSE-I, the number of uncharacterized
sources rises to 45 (64 per cent). Many of these unidentified sources
may be PNe. The 25 (36 per cent) other sources with a SIMBAD
entry provide matches with two known PNe (as above), a Young
Stellar Object (YSO) and 22 associated with suspected young stellar sources (designated as Y*? entries in SIMBAD but referred to as
YSO? hereafter). However, the status of these suspected YSOs is debatable. They form part of the 11 000 likely YSOs in the flux-limited
census of 18 949 point sources in the Galactic mid-plane selected
from GLIMPSE-I and GLIMPSE-II from their intrinsically red MIR
colours (Robitaille et al. 2008). However, in their theoretical grid of
200 000 YSO spectral energy distributions (SEDs), Robitaille et al.
(2006) offered NIR and MIR colour–colour plots with the locations
of these SEDs. In particular, their fig. 18 shows the [3.6]−[4.5] indices for the full grid. The range of YSOs spans several magnitudes
and almost all YSOs exceed the [3.6]−[4.5] colour of PNe. We now
investigate the veracity of these identifications given that we have
found that they appear to have the MIR properties of PNe according
to our selection criteria. Despite any associations of our 70 MIRselected sources with catalogued sources of mostly unproven type,
a fresh evaluation of their true nature was also needed.
3019
3020
Q. A. Parker et al.
sources, similar to resolved PNe in 2MASS. In IRAC they both appear as almost identical yellow–orange sources in complete contrast
to every other source. In the poorer resolution WISE image-band
combinations they are also easily detected, appearing distinctly red
(when combining bands 321) or yellow (when combining bands
432).
In Fig. 3, we present the IRAC [3.6]−[4.5] versus [5.8]−[8.0]
colour–colour plot (equivalent to fig. 15 in Paper I and fig. 9 in
Paper II) with the four newly confirmed PNe (refer to section on
spectroscopy) plotted as red circles within the MIR PN selection
box. This particular colour–colour plane has the greatest discriminatory power with the ±3 SEM PN box being furthest from the
majority of other astrophysical source types. There is no possible
confusion of these MIR-selected point sources with the box occupied by diffuse H II regions which slightly overlaps the PN box.
The newly confirmed PN PM 1-104 is plotted as a blue symbol.
In Table 3, we also present the 2MASS NIR and GLIMPSE-I MIR
photometric data for all of these sources.
4.1 MIR photometry and environment: identification
of high-quality PN candidates
All the SHS and IRAC432 false-colour images for the 70 MIR
sources were carefully examined during the search for optical
C 2012 The Authors, MNRAS 427, 3016–3028
C 2012 RAS
Monthly Notices of the Royal Astronomical Society
Downloaded from https://academic.oup.com/mnras/article/427/4/3016/972269 by guest on 05 July 2022
Figure 1. Left-hand panels are 1.5 × 1.5 arcmin colour composite SuperCOSMOS images comprising the Hα image (red), matching broad-band SR image
(green) and BJ -band image (blue) of confirmed PNe GLIPN1833−1133, GLIPN1530−5557, GLIPN1557−5430 and GLIPN1642−4453. Each image is
centred on the faint PN as seen in Hα. Middle panels are quotient images of Hα divided by the matching broad-band SR exposure that reveals the compact
emitting sources. Right-hand panel: the same area from the IRAC data with RGB = 8.0, 5.8 and 4.5 µm, i.e. the IRAC432 false-colour combination. All PN
candidates have similar IRAC false colours.
New PNe selected in the mid-infrared
3021
Table 2. IRAC colours for the four new MIR-selected PN candidates with optical counterparts. The serendipitously uncovered source PM 1-104 (now also a confirmed PN) and two known PNe in the MIR sample are also
included. All IRAC false colours for these sources including those in Fig. 1 appear similar (orange–red).
New PN ID
[3.6]−[4.5]
[3.6]−[5.8]
[3.6]−[8.0]
[4.5]−[5.8]
[4.5]−[8.0]
[5.8]−[8.0]
GLIPN1530−5557
GLIPN1557−5430
GLIPN1642−4453
GLIPN1823−1133
0.710
1.038
0.753
0.891
1.718
1.822
1.741
1.643
3.409
3.776
3.509
3.699
1.008
0.784
0.988
0.752
2.699
2.738
2.756
2.808
1.691
1.954
1.768
2.056
PM 1-104
0.454
1.537
2.948
1.083
2.494
1.411
Hen 2-84
K 3-42
1.021
0.857
1.786
1.644
3.676
3.631
0.765
0.787
2.655
2.774
1.890
1.987
Figure 3. Detail of the IRAC [3.6]−[4.5] versus [5.8]−[8.0] colour plane with the positions of our four newly confirmed MIR-selected PNe overplotted as
red circles. The serendipitously confirmed MIR PN PM 1-104 is also plotted as a blue circle and falls outside our MIR selection box. The plot is adapted from
fig. 9 of Cohen et al. (2011). The general locus of points comprises the combined generic locations of 87 different types of IR point sources. Two rectangles
are plotted for the median ±3 SEM boxes for diffuse H II regions (dH) and for the colours of the entire known PN sample (P).
C 2012 The Authors, MNRAS 427, 3016–3028
C 2012 RAS
Monthly Notices of the Royal Astronomical Society
Downloaded from https://academic.oup.com/mnras/article/427/4/3016/972269 by guest on 05 July 2022
Figure 2. Multiwavelength 1.5 × 1.5 arcmin false-colour montages of newly spectroscopically confirmed PN PM 1-104 (GLIPN1557−5431) and
GLIPN1557−5430. Image type is indicated at the bottom right of each panel. The published position of PM 1-104 is identified by tick marks towards
the lower left-hand corner close to the actual source (also marked) revealing the positional error. Both PNe are also visible in the two lower resolution WISE
false-colour images. See the text for further details.
3022
Q. A. Parker et al.
Table 3. 2MASS and IRAC magnitudes (with 1σ errors) for the MIR-selected sources, the serendipitously recovered PN PM 1-104 and the two known PNe
that satisfy the MIR selection criteria.
New PN ID
J
H
Ks
[3.6]
[4.5]
[5.8]
[8.0]
GLIPN1530−5557
GLIPN1557−5430
GLIPN1642−4453
GLIPN1823−1133
12.92 ± 0.04
–
–
–
11.59 ± 0.04
14.62 ± 0.10
–
–
10.95 ± 0.04
13.28 ± 0.06
13.74 ± 0.07
–
10.00 ± 0.04
11.77 ± 0.04
12.21 ± 0.10
12.74 ± 0.08
9.29 ± 0.05
10.73 ± 0.05
11.46 ± 0.09
11.85 ± 0.10
8.28 ± 0.04
9.95 ± 0.04
10.47 ± 0.09
11.094 ± 0.09
6.59 ± 0.03
7.99 ± 0.03
8.70 ± 0.10
9.04 ± 0.05
PM 1-104
14.17 ± 0.06
13.27 ± 0.08
12.01 ± 0.04
9.20 ± 0.12
8.75 ± 0.10
7.67 ± 0.07
6.26 ± 0.13
Hen 2-84
PN K 3-42
–
14.20 ± 0.04
–
13.71 ± 0.05
–
12.70 ± 0.04
12.25 ± 0.07
11.49 ± 0.04
11.23 ± 0.08
10.63 ± 0.05
10.47 ± 0.08
9.85 ± 0.03
8.58 ± 0.07
7.86 ± 0.02
source with the standard IRAC432 red–orange colour normally seen
for all known PNe (and indeed the four newly confirmed PNe).
With these criteria, the PN candidate landscape changes considerably and we select only 33 of the 70 MIR sources as PN candidates
(of which two are known PNe and four are the new PNe presented
here). We reject the other 37 sources as contaminants. These 33
remaining sources have similar false colours to known PNe with
14 having no SIMBAD entry. Suspected YSO sources in SIMBAD
from Robitaille et al. (2008) are associated with 13 of these sources
but we contend that they are in fact excellent PN candidates.
This clearly demonstrates the danger of both trusting the SIMBAD identifications and overinterpreting the IRAC point-source
photometry when used in isolation. The value of eye-ball examination of false-colour MIR and NIR images of each source to compare
with the optical is clear. In Fig. 4 we present MIR 2MASS J , H , Ks ,
optical SHS and IRAC432 false-colour 1.5 × 1.5 arcmin images of
Figure 4. NIR 2MASS J , H , Ks , optical SHS and MIR IRAC432 false-colour 1.5 × 1.5 arcmin images of a selection of three of the 37 rejected PN candidates
from the original 70. Images in the first and last rows are for MIR sources G313.1931−00.2925 and G344.9571−00.0554 matched with YSO? stars in Robitaille
et al. (2008). The middle-row source at G306.6949−00.08213 has no SIMBAD entry. The top row shows a source with the IRAC432 false colours of a PN but
the optical images reveal a star at the same position in 2MASS and the optical. The bottom two rows show candidates in complex MIR regions close to bright
MIR sources where diffraction spikes are playing a role in confusing the GLIMPSE-I point-source photometry.
C 2012 The Authors, MNRAS 427, 3016–3028
C 2012 RAS
Monthly Notices of the Royal Astronomical Society
Downloaded from https://academic.oup.com/mnras/article/427/4/3016/972269 by guest on 05 July 2022
counterparts. It became clear that not all MIR sources satisfying
the six colour selection criteria were as similar in their false-colour
imagery as expected. This is due to their complex MIR emission
environments. Many sources were matched in SIMBAD with a
2 arcsec search radius to suspected YSOs from Robitaille et al.
(2008). For many of these supposed MIR point sources the false
colours, surrounding MIR diffuse environment or conversely match
to stars in the NIR 2MASS and SSS optical images strongly mitigate against PN identification. Where sources are embedded in
an MIR diffuse emission region (with prominence varying across
IRAC bands), the photometry and MIR colours have been adversely
affected by the background. Hence, as part of our PN candidate selection we adopted the additional selection criteria: (1) there should
be no obvious star coincident with the MIR position in the optical and 2MASS; (2) the MIR environment should be as clean and
unstructured as possible; (3) the MIR source should be a compact
New PNe selected in the mid-infrared
3023
a selection of three of the 37 rejected PN candidates as examples
of the above process. The first and last rows are for MIR sources
matched with suspected YSOs from Robitaille. The source in the
middle row has no SIMBAD entry. The top source has the IRAC432
false colours of a PN but a star is seen at the same position in the
2MASS and optical images. The bottom two sources are in complex MIR regions close to bright MIR sources where diffraction
spikes are playing a role in adversely affecting the GLIMPSE-I
point-source photometry. In Fig. 5, we give images for three of the
33 remaining high-quality PN candidates (excluding the two known
and four newly confirmed PNe). The top two are associated with
suspected YSOs in Robitaille et al. (2008), while the bottom source
has no SIMBAD entry.
After removing the two known PNe and four newly confirmed
PNe, the remaining 27 high-quality PN candidates (39 per cent of
the original sample) and their associated NIR and MIR photometry
are presented in Table 4. We believe that the majority of these
sources are likely to be PNe.
5 S P E C T RO S C O P I C F O L L OW- U P
Until we have further probed the capability of our MIR technique to
reliably reveal optically invisible PNe, we have to rely on follow-up
optical spectra to validate MIR-selected candidates as PNe. Consequently, the four MIR-selected PN candidates with optical counterparts were observed, together with PM 1-104, with the double-beam
Wide Field Spectrograph (WiFeS) image slicer integral field unit
(Dopita et al. 2007) on the Australian National University (ANU)
2.3-m telescope at Siding Spring Observatory (SSO) in 2011 July
and 2012 June. This powerful instrument provides simultaneous
C 2012 The Authors, MNRAS 427, 3016–3028
C 2012 RAS
Monthly Notices of the Royal Astronomical Society
red and blue arm spectra with a dichroic sending light to two detectors of similar design equipped with different gratings. WiFeS
is an areal spectroscopic facility across a 36 × 25 arcsec region of
sky ideal for resolved sources. In the moderate seeing of SSO, this
instrument also ensures that all the flux from compact sources can
still be acquired.
Table 5 summarizes the spectroscopic observations, gives the
source IRAC designations from the GLIMPSE-I archive and the
coordinates (accurate to 0.3 arcsec). All four PN candidates have
NIR and MIR diameters close to 3 arcsec and are compact optically.
5.1 The optical spectra
The WiFeS data extraction was performed by one of us (MS) using
the WiFeS data reduction pipeline (Dopita et al. 2010). Wavelength
calibration was via standard arc lamps and spectrophotometric standard stars LTT9239 and HR8634 were repeatedly observed enabling
flux calibration. The ‘nod-and-shuffle’ observing mode was employed for the first three PN candidates. The telescope is nodded
‘off source’ repeatedly to a nearby sky region, while the charge is
shuffled to a different CCD area permitting excellent sky subtraction
though with an exposure time and noise penalty. Due to poor conditions during observations of the fourth candidate standard ‘stare’
exposures were taken.
5.2 Results
Fig. 6 presents three of the observed PN candidates with useful blue
and red spectra. For GLIPN1823−1133 (top row in Fig. 3) both blue
Downloaded from https://academic.oup.com/mnras/article/427/4/3016/972269 by guest on 05 July 2022
Figure 5. MIR 2MASS J , H , Ks , optical SHS and IRAC432 false-colour 1.5 × 1.5 arcmin images of three of the 27 remaining high-quality PN candidates that
satisfy our environmental criteria based on the examination of their 2MASS, optical and MIR images. Top: G308.4962−00.1623; middle: G305.3441−00.7489;
bottom: G323.9540+00.4384. See Table 4 for further details.
3024
C 2012 The Authors, MNRAS 427, 3016–3028
C 2012 RAS
Monthly Notices of the Royal Astronomical Society
G295.4245+00.0434
G295.7630+00.7326
G303.8027−00.1147
G305.3441−00.7489
G307.1055+00.6904
G308.4962−00.1623
G309.8085+00.6737
G311.8578+00.3703
G322.6659+00.5251
G323.9540+00.4384
G319.4987−00.4144
G330.3672−00.8723
G333.6931−00.3887
G335.2810−00.0084
G338.4491−00.0966
G345.9349+00.5487
G012.5223−01.0139
G025.7769+00.8167
G023.2256−00.5250
G028.1603−00.0940
G011.2060+00.8711
G039.0344−00.2058
G056.1486+00.4087
G060.0271+00.6070
G040.9735−00.1553
G302.0289−00.0561
G010.5089−00.6242
RA/Dec.
(J2000)
ID?
11h 47m 02.s 9 −61◦ 53′ 10.′′ 3
11h 51m 11.s 9 −61◦ 17′ 52.′′ 3
12h 59m 06.s 2 −62◦ 58′ 24.′′ 7
13h 13m 05.s 99 −63◦ 31′ 08.′′ 9
13h 26m 58.s 89 −61◦ 53′ 34.′′ 7
13h 39m 56.s 3 −62◦ 30′ 32.′′ 4
13h 49m 24.s 8 −61◦ 25′ 17.′′ 5
14h 06m 34.s 2 −61◦ 11′ 33.′′ 5
15h 22m 06.s 8 −56◦ 27′ 37.′′ 8
15h 30m 08.s 7 −55◦ 48′ 58.′′ 2
15h 05m 28.s 8 −58◦ 54′ 20.′′ 9
16h 10m 07.s 2 −52◦ 49′ 12.′′ 9
16h 23m 19.s 8 −50◦ 09′ 39.′′ 9
16h 28m 28.s 2 −48◦ 45′ 28.′′ 9
16h 41m 34.s 1 −46◦ 28′ 57.′′ 8
17h 04m 55.s 0 −40◦ 16′ 32.′′ 9
18h 16m 40.s 5 −18◦ 33′ 54.′′ 7
18h 35m 24.s 9 −05◦ 59′ 20.′′ 9
18h 35m 29.s 1 −08◦ 52′ 18.′′ 0
18h 43m 03.s 3 −04◦ 17′ 18.′′ 8
18h 07m 01.s 3 −18◦ 48′ 45.′′ 1
19h 03m 20.s 3 05◦ 20′ 04.′′ 8
19h 34m 10.s 7 20◦ 44′ 14.′′ 7
19h 41m 39.s 4 24◦ 12′ 56.′′ 1
19h 06m 44.s 3 07◦ 04′ 50.′′ 1
12h 43m 30.s 2 −62◦ 54′ 50.′′ 2
18h 11m 08.s 4 −20◦ 08′ 48.′′ 5
No
No
No
No
YSO?
YSO?
No
YSO?
YSO?
No
YSO?
YSO?
YSO?
YSO?
YSO?
YSO?
No
No
No
YSO?
No
No
YSO?
No
YSO?
No
No
J
H
Ks
[3.6]
[4.5]
[5.8]
[8.0]
[3.6]−
[4.5]
[3.6]−
[5.8]
[3.6]−
[8.0]
[4.5]−
[5.8]
[4.5]−
[8.0]
[5.8]−
[8.0]
14.63
13.91
13.50
14.49
13.66
14.45
12.91
13.13
14.60
12.72
14.46
11.80
15.17
13.19
12.32
13.51
12.39
11.43
13.423
15.18
13.03
13.77
12.72
12.85 ± 0.06
14.69 ± 0.12
13.79 ± 0.12
13.69 ± 0.08
11.29 ± 0.04
11.02 ± 0.05
14.35 ± 0.09
12.04 ± 0.07
11.10 ± 0.05
11.71 ± 0.05
12.41 ± 0.07
11.29 ± 0.04
12.50 ± 0.07
10.52 ± 0.04
12.48 ± 0.10
12.33 ± 0.08
11.84 ± 0.05
13.45 ± 0.08
11.22 ± 0.05
12.80 ± 0.09
14.20 ± 0.13
14.22 ± 0.12
12.82 ± 0.05
14.18 ± 0.07
12.49 ± 0.07
11.98 ± 0.20
13.22 ± 0.12
12.16 ± 0.10
13.68 ± 0.10
13.14 ± 0.08
12.97 ± 0.07
10.45 ± 0.06
10.13 ± 0.04
13.54 ± 0.17
11.35 ± 0.06
10.47 ± 0.06
10.87 ± 0.06
11.52 ± 0.06
10.63 ± 0.06
11.82 ± 0.09
9.90 ± 0.05
11.78 ± 0.08
11.40 ± 0.06
11.13 ± 0.07
12.66 ± 0.10
10.39 ± 0.05
11.99 ± 0.10
13.41 ± 0.16
13.63 ± 0.16
11.97 ± 0.08
13.60 ± 0.10
11.56 ± 0.06
11.28 ± 0.09
12.47 ± 0.13
11.28 ± 0.11
12.75 ± 0.22
12.00 ± 0.10
12.09 ± 0.14
9.38 ± 0.05
9.06 ± 0.04
12.50 ± 0.28
10.29 ± 0.06
9.34 ± 0.04
9.74 ± 0.06
10.59 ± 0.06
9.66 ± 0.04
10.84 ± 0.08
8.91 ± 0.04
10.80 ± 0.08
10.53 ± 0.07
10.15 ± 0.05
11.62 ± 0.25
9.38 ± 0.06
10.89 ± 0.08
12.36 ± 0.27
12.58 ± 0.24
10.98 ± 0.06
12.45 ± 0.15
10.60 ± 0.07
10.34 ± 0.36
11.43 ± 0.10
9.36 ± 0.10
10.89 ± 0.04
10.33 ± 0.04
10.28 ± 0.03
7.66 ± 0.03
7.27 ± 0.03
10.68 ± 0.09
8.62 ± 0.02
7.62 ± 0.03
8.07 ± 0.03
8.92 ± 0.04
7.78 ± 0.03
9.05 ± 0.04
7.12 ± 0.03
8.97 ± 0.03
8.82 ± 0.02
8.30 ± 0.03
9.82 ± 0.31
7.54 ± 0.03
9.14 ± 0.04
10.62 ± 0.06
10.84 ± 0.14
9.22 ± 0.03
10.73 ± 0.04
8.80 ± 0.02
8.50 ± 0.29
9.60 ± 0.03
0.69
1.01
0.65
0.72
0.84
0.89
0.81
0.69
0.63
0.84
0.88
0.66
0.67
0.62
0.70
0.93
0.72
0.79
0.83
0.82
0.79
0.59
0.84
0.57
0.93
0.70
0.75
1.58
1.94
1.79
1.60
1.90
1.96
1.84
1.75
1.77
1.97
1.82
1.62
1.66
1.61
1.67
1.80
1.68
1.82
1.84
1.91
1.83
1.64
1.84
1.73
1.89
1.64
1.79
3.50
3.79
3.46
3.41
3.63
3.75
3.66
3.42
3.48
3.64
3.49
3.50
3.44
3.40
3.50
3.51
3.54
3.62
3.68
3.67
3.58
3.38
3.59
3.45
3.68
3.48
3.62
0.88
0.93
1.13
0.88
1.07
1.07
1.03
1.06
1.13
1.13
0.93
0.97
0.99
0.99
0.98
0.87
0.96
1.04
1.01
1.10
1.05
1.05
0.10
1.15
0.96
0.94
1.04
2.80
2.79
2.81
2.69
2.79
2.86
2.85
2.73
2.85
2.80
2.61
2.84
2.77
2.77
2.81
2.57
2.82
2.83
2.85
2.85
2.79
2.79
2.75
2.87
2.75
2.78
2.87
1.92
1.85
1.67
1.81
1.72
1.79
1.82
1.67
1.71
1.67
1.67
1.88
1.78
1.78
1.83
1.71
1.85
1.80
1.84
1.75
1.74
1.74
1.75
1.72
1.79
1.84
1.83
13.58
14.73
14.86
Downloaded from https://academic.oup.com/mnras/article/427/4/3016/972269 by guest on 05 July 2022
GLIMPSE-I
identification
Q. A. Parker et al.
Table 4. Positions and NIR and MIR photometry for the remaining 27 high-quality PN candidates. The 2MASS J , H , Ks photometry has typical uncertainties of 0.05–0.10 mag.
New PNe selected in the mid-infrared
3025
Table 5. Summary of spectral observations performed with the Mount Stromlo and Siding Spring Observatory (MSSSO) 2.3 m and the WiFeS
spectrograph.
Object
Date observed
Dispersion
(lines mm−1 )
Wavelength coverage (Å)
Blue; red
Resolution (Å pixel−1 )
Blue; red
Exposure
(s)
Comment
GLIPN1823−1133
GLIPN1530−5557
PM 1-104
GLIPN1557−5430
GLIPN1642−4453
2011 July 3
2011 July 4
2011 July 5
2011 July 5
2012 June 18
1530B, 1210R
1530B, 1210R
1530B, 1210R
1530B, 1210R
708B, 1210R
4184–5580; 5294–7060
4184–5580; 5294–7060
4184–5580; 5294–7060
4184–5580; 5294–7060
4184–5580; 5760–7030
0.36; 0.45
0.36; 0.45
0.36; 0.45
0.36; 0.45
0.17; 0.45
2 × 600
1200
600
1800
2 × 2000
Nod-and-shuffle
Nod-and-shuffle
Nod-and-shuffle
Nod-and-shuffle
Poor conditions
Downloaded from https://academic.oup.com/mnras/article/427/4/3016/972269 by guest on 05 July 2022
Figure 6. Extracted blue and red 1D spectra from the WiFeS data cubes for GLIPN1823−1133, GLIPN1530−5557 and GLIPN1557−5431 (PM 1-104). The
PN spectral signatures are clear. Red and blue emission lines are identified in the top panel. See the text for details.
C 2012 The Authors, MNRAS 427, 3016–3028
C 2012 RAS
Monthly Notices of the Royal Astronomical Society
3026
Q. A. Parker et al.
[O III] lines are visible but Hβ is not seen due to heavy extinction.
The high [N II]/Hα ratio in the red (∼2.23) rules out an H II region
(e.g. Kennicutt 2000). The observed [O III] lines are at least a factor
of 10 weaker than the [N II] and Hα lines. The [S II] lines are well
detected, permitting an electron density estimate of ∼2000 cm−3 .
For GLIPN1530−5557 (middle row) only the brighter of the
[O III] lines is seen while in the red Hα is strong with only a small
trace of [N II] visible. This red spectrum is typical of high excitation
PN though this is ruled out by the detection of He I at 7065 Å. A PN
ID is still strongly favoured.
The bottom row gives spectra of GLIPN1557−5431 (PM 1-104).
Again only the stronger of the [O III] lines is seen in the blue.
The red spectrum is similar to that for GLIPN1823−1133 with a
high [N II]/Hα ratio of ∼2.11, also eliminating an H II region. The
observed [S II] line ratio gives an electron density of ∼4200 cm−3 .
Fig. 7 presents the WiFeS red spectra for GLIPN1557−5430
and GLIPN1642−4453 (no useful blue data were obtained). For
GLIPN1557−5430 Hα and [N II] are seen with the ratio of 0.59.
This is at the high end of that found in H II regions (Kennicutt
2000) though the source is not diffuse and a PN ID is indicated.
The [S II] lines are also visible and provide an electron density
estimate of ∼2200 cm−3 . This is a very faint, compact source in the
optical. For GLIPN1652−4453 the S/N is low but [N II] and Hα
are clearly detected in the ratio of 0.77 which eliminates confusion
with an H II region, strongly confirming PN status. The [S II] lines
are again visible and likewise give an electron density estimate of
∼1300 cm−3 . These emission-line spectra confirm the highly likely
PN nature of all five observed candidates including PM 1-104.
The observed line fluxes, ratios and derived electron densities,
ne , from our flux-calibrated WiFeS data are summarized in Table 6.
Fluxes are in units of 10−15 erg cm−2 s−1 Å−1 and are not corrected
for reddening. Entries with a trailing ‘:’ indicate indicative values
due to low S/N. None of the PNe have detectable Hβ emission
to determine a Balmer decrement, but we can determine a useful
Table 6. Observed integrated line fluxes and line ratios as measured from our flux-calibrated spectra (summarized in Table 5). The fluxes are
expressed in units of 10−15 erg cm−2 s−1 Å−1 and are not corrected for reddening (refer to the text for further details).
Line
Wavelength
(Å)
GLIPN1530−5557
F(λ)
PM 1-104
F(λ)
GLIPN1557−5430
F(λ)
GLIPN1642−4453
F(λ)
GLIPN1823−1133
F(λ)
Hβ
[O III]
[O III]
He I
[O II]
[O II]
[N II]
Hα
[N II]
He I
[S II]
[S II]
He I
4861
4959
5007
5876
6300
6363
6548
6563
6584
6678
6717
6731
7065
<0.3
0.3:
0.8:
–
–
–
0.3:
13.9
0.8
–
–
–
1.3
<0.5
<0.5
1.1:
0.5:
2.0:
1.0:
15.6
31.5
51.0
0.4
1.6
2.8
1.8
<0.2
<0.2
<0.2
–
–
–
0.3:
1.7
0.7
–
0.1:
0.15
–
<0.1
<0.1
<0.1
–
–
–
0.2:
1.16
0.67
–
0.13
0.16
No coverage
<0.4
1.1:
2.8
0.5
–
–
7.8
14.6
24.8
0.2
1.6
2.3
No coverage
[N II]/Hα
[S II] 6717/6731
–
–
0.07
–
2.11
0.58
0.59
0.68
0.77
0.80
2.23
0.70
ne (cm−3 )
E(B − V)Hα/Hβ
E(B − V)6 cm/Hα
E(B − V )(dust−map)
AV
v hel (km s−1 )
–
–
–
–
–
–
–
2.8 – 4.5
–
7.5
23.3
−21 ±10
4200
>2.9
3.0
4.2
12.9
−63 ±10
2200
>1.0
–
4.4
13.6
+20 ± 10
1300
>1.3
–
5.2
16.1
−52 ±10
2000
2.4–3.4
2.7
3.8
11.7
+105 ± 10
log F(Hα) (WiFeS)
log F(Hα) (SHS)
–
–
−13.86 ± 0.10
−14.2 ± 0.2
−13.50 ± 0.05
−13.46 ± 0.10
−14.79 ± 0.15
−14.9 ± 0.2
−14.94 ± 0.15
−15.3 ± 0.2
−13.84 ± 0.10
−14.2 ± 0.2
C 2012 The Authors, MNRAS 427, 3016–3028
C 2012 RAS
Monthly Notices of the Royal Astronomical Society
Downloaded from https://academic.oup.com/mnras/article/427/4/3016/972269 by guest on 05 July 2022
Figure 7. The final extracted red 1D spectra from the WiFeS data cube for confirmed PNe GLIPN1557−5430 and GLIPN1642−4453. There were no useful
data obtained from the blue arm for these two candidates due to the heavy extinction. See the text for further details.
New PNe selected in the mid-infrared
3027
Table 7. Summary details of the new, confirmed MIR-selected PNe.
GLIMPSE-I ID
PN ID
SSTGLMA G323.9366+00.2783
SSTGLMA G327.8259−00.8710
SSTGLMA G327.8293−00.8879
SSTGLMA G339.7362−00.8468
SSTGLMA G019.5325+00.7308
GLIPN1530−5557
GLIPN1557−5430
GLIPN1557−5431a
GLIPN1642−4453
GLIPN1823−1133
a Previously
RA
(J2000)
Dec.
(J2000)
l
(◦ )
b
(◦ )
PN
status
15 30 41.6
15 57 15.5
15 57 21.0
16 42 22.0
18 23 59.9
−55 57 27
−54 30 07
−54 30 46
−44 53 35
−11 33 39
323.9365
327.8262
327.8292
339.7365
19.5326
0.2784
−0.8712
−0.8878
0.8467
0.7309
L
L
T
T
T
known as PM 1-104.
6 S U M M A RY A N D F U T U R E W O R K
We have investigated the potential of the available MIR survey data
as a tool to uncover new PN candidates that would be hard or impossible to locate optically. The motivation is to develop robust MIR
PN candidate selection techniques that can uncover the significant
numbers of Galactic PNe hidden behind extensive curtains of dust.
For this pilot study, six MIR colour–colour selection criteria were
applied to the GLIMPSE-I point-source archive. These are based on
the median values of the unique MIR colours of the 136 previously
known PNe that fall within the GLIMPSE-I footprint (and assumed
representative of the overall Galactic PN population). Only 70 candidate sources were returned. Most Galactic PNe are well resolved
(e.g. only 5.5 per cent of the MASH PNe are compact/star-like) and
so will not be found in the GLIMPSE-I point-source archive which
also has a very restricted Galactic latitude coverage. These factors
substantially reduce the number of obscured PN candidates found.
Multiwavelength image montages of each candidate were examined and four with faint optical detections in the SHS survey were
C 2012 The Authors, MNRAS 427, 3016–3028
C 2012 RAS
Monthly Notices of the Royal Astronomical Society
found. Spectroscopy confirmed their likely PN nature. This result
represents a clear validation of our general MIR selection technique
to identify high-quality PN candidates. This is because apart from
their faint optical signatures (due to the extinction not being too
severe) they simply fulfil the MIR selection criteria we have developed to identify PN candidates once their MIR images have been
checked. We also confirm the PN nature of PM 1-104, serendipitously uncovered close to one of our MIR-selected sources, and
update erroneous positions for both PM 1-104 and K 3-42 that fall
in our sample.
We demonstrate that false-colour images of MIR-selected PN
candidates are of high diagnostic value. They enable the environmental context of the MIR point sources to be evaluated, showing
that GLIMPSE-I point-source photometry cannot always be taken at
face value. We thus rejected 37 (54 per cent) of the 70 MIR-selected
candidates as contaminants due to adverse MIR background effects, associated dubious photometry or the deblending of diffraction spikes around bright stars into multiple spurious point sources.
In some cases, the character of complementary multiwavelength
optical and NIR data led to rejection. This left 27 high-quality PN
candidates not including the four new PN confirmations and the two
previously known PNe returned by the search. These results highlight the dangers of using GLIMPSE-I point-source photometry in
isolation.
In future we will extend the MIR selection to the GLIMPSEII and GLIMPSE-3D surveys and expand the search to resolved
sources. Following the local sky variation, application of a threshold
a given (low) percentage above this background and then running
of pixel-connectivity algorithms will be used to isolate resolved
but discrete MIR sources in a process directly analogous to that
used on optical data (e.g. Hambly et al. 2001). This should find
resolved MIR sources and yield their integrated MIR magnitudes.
Ultimately, we plan to extend our MIR colour–colour techniques to
the all-sky coverage of WISE which now enables alternative MIR
false-colour images to be constructed. The WISE 3.4- and 4.6-µm
bands are directly equivalent to the first two IRAC bands at 3.6 and
4.5 µm. The final two IRAC bands at 5.8 and 8 µm do not have
any direct WISE equivalent (with the closest being the WISE 12-µm
band) though the WISE 22-µm band is similar to the MIPS 24-µm
band. WISE can be used as a substitute for IRAC outside of the
GLIMPSE regions with excellent sensitivity but poorer resolution
(ranging from 6 arcsec for the shorter wavelength bands out to
∼12 arcsec at 22 µm).
If we can show that the sensitivity and resolution of the WISE
MIR bands can provide the same diagnostic capability as for IRAC,
then we can search for MIR PN candidates across the entire sky
using essentially the same selection criteria. An examination of
known PN detected in WISE (e.g. Fig. 2) reveals potential in this
regard. In this way, we can compile MIR-selected PN candidates
across the entire area covered by the SHS and IPHAS surveys and
Downloaded from https://academic.oup.com/mnras/article/427/4/3016/972269 by guest on 05 July 2022
upper limit to the Hβ flux based on the observed blue S/N and
hence find a lower limit to the reddening. We also give an upper
limit to the reddening for two PNe from an inferred lower limit to
the Hβ flux, using our [O III] λ5007 flux and assuming a maximum
λ5007/Hβ ratio of ∼20 (e.g. Acker et al. 1992). For two PNe, we
estimate reddenings from a comparison of the integrated Hα fluxes
with available 6-cm radio fluxes (see Bojičić et al. 2011).
Upper-limit E(B − V) estimates are also given from Schlafly &
Finkbeiner (2011), who recently updated the Schlegel, Finkbeiner
& Davis (1998) dust maps along each source sightline. We refrain
from quoting a final single extinction estimate for each PN due to the
different estimates used and their variation. This is the appropriate
approach given the uncertainties though it is clear, as expected, that
the extinctions are high. The quoted heliocentric line velocities are
based on application of the IRAF EMSAO package to the higher resolution, red-arm WiFeS spectra, and are accurate to ∼10 km s−1 . We
also quote integrated Hα fluxes measured from the SuperCOSMOS
Hα Survey (Parker et al. 2005) following the method of Gunawardhana et al. (2012). These Hα fluxes are amongst the faintest yet
determined for any PN (see Frew, Bojičić & Parker 2012).
Details of the five spectroscopically observed sources are listed
in Table 7. We adopt a new nomenclature for confirmed, MIRdiscovered, PN candidates as GLIPNhhmm ± ddmm of similar
form to the MASH PN nomenclature (e.g. Parker et al. 2006).
GLI indicates origin in the GLIMPSE-I footprint, PN indicates that
the object is a confirmed PN and the concatenation of the J2000
positions to hhmm and ±ddmm follows. Coordinates for PM 1-104
have been updated from the incorrect published value. The PN status
column reflects the same format used in MASH where T represents
true PN and L represents likely PN.
3028
Q. A. Parker et al.
also to higher latitudes where there is no Hα coverage. This work
is now underway.
AC K N OW L E D G M E N T S
REFERENCES
Acker A., Marcout J., Ochsenbein F., Stenholm B., Tylenda R., 1992,
Strasbourg–ESO Catalogue of Galactic Planetary Nebulae. ESO,
Garching
Anderson L. D., Zavagno A., Barlow M. J., Garcia-Lario P., Noriega-Crespo
A., 2012, A&A, 537, 1
Benjamin R. A. et al., 2003, PASP, 115, 953
Bojičić I. S., Parker Q. A., Frew D. J., Vaughan A. E., Filipović M. D.,
Gunawardhana M. L. P., 2011, MNRAS, 412, 223
Canto J., 1981, in Kahn F., ed., Astrophys. Space Sci. Library Vol. 91,
Investigating the Universe. Reidel Publishing Co., Dordrecht, p. 95
Carey S. J. et al., 2009, PASP, 121, 76
Chu Y.-H., 2003, in van der Hucht A., Herrero A., Esteban C., eds, Proc.
IAU Symp. 212, A Massive Star Odyssey, From Main Sequence to
Supernova. Astron. Soc. Pac., San Francisco, p. 585
Chu Y.-H., 2012, in Manchado, Stanghellini, Schoenberner, eds, Proc. IAU
Symp. 283, Planetary Nebulae: An Eye to the Future. Cambridge Univ.
Press, Cambridge, p. 21
Cioni M.-R. L. et al., 2011, A&A, 527, 116
Cohen M., Green A., 2001, MNRAS, 325, 531
Cohen M. et al., 2005, ApJ, 627, 446
Cohen M. et al., 2007, ApJ, 669, 343 (Paper I)
Cohen M., Parker Q. A., Green A. J., Miszalski B., Frew D. J., Murphy T.,
2011, MNRAS, 413, 514 (Paper II)
Corradi R. L. M., 1995, MNRAS, 276, 521
Corradi R. L. M. et al., 2008, A&A, 480, 409
Corradi R. L. M. et al., 2010, A&A, 509, 41
De Marco O., 2009, PASP, 121, 316
Dopita M., Hart J., McGregor P., Oates P., Bloxham G., Jones D., 2007,
Ap&SS, 310, 255
Dopita M. A. et al., ApJ, 474, 188
Dopita M. et al., 2010, Ap&SS, 327, 245
Drew J. E. et al., 2005, MNRAS, 362, 753
Durand S., Acker A., Zijlstra A., 1998, A&A, 132, 13
Fazio G. G. et al., 2004, ApJS, 154, 10
Frew D. J., 2008, PhD thesis, Macquarie Univ.
Frew D. J., Parker Q. A., 2006, in Barlow M. J., Mendez R. J., eds, Proc. IAU
Symp. 234, Planetary Nebulae in our Galaxy and Beyond. Cambridge
Univ. Press, Cambridge, p. 49
This paper has been typeset from a TEX/LATEX file prepared by the author.
C 2012 The Authors, MNRAS 427, 3016–3028
C 2012 RAS
Monthly Notices of the Royal Astronomical Society
Downloaded from https://academic.oup.com/mnras/article/427/4/3016/972269 by guest on 05 July 2022
We thank the referee whose careful reading, valuable comments
and suggestions have significantly improved the paper. QAP acknowledges support from Macquarie University and the AAO. MC
thanks NASA for support under ADP grant NNX08AJ29G with
UC Berkeley and for support from the Distinguished Visitor programs at the Australia Telescope National Facility and AAO. This
research made use of Montage, funded by the National Aeronautics and Space Administration’s Earth Science Technology Office,
Computational Technologies Project, under Cooperative Agreement
Number NCC5-626 between NASA and the California Institute
of Technology. This research used SAOImage DS9, developed by
the Smithsonian Astrophysical Observatory and the SIMBAD data
base, operated at CDS, Strasbourg. IB thanks the ARC for his Super
Science Fellowship, while DJF is grateful to Macquarie University
for the award of a postdoctoral fellowship. We acknowledge the
award of telescope time from the ANU that provided the optical
confirmatory spectra.
Frew D. J., Parker Q. A., 2010, Publ. Astron. Soc. Aust., 27, 129
Frew D. J., Madsen G. J., O’Toole S. J., Parker Q. A., 2010, Publ. Astron.
Soc. Aust., 27, 203
Frew D. J., Bojičić I. S., Parker Q. A., 2012, MNRAS, in press
(arXiv:1211.2505)
Froebrich D. et al., 2011, MNRAS, 413, 480
Gunawardhana M. L. P., Parker Q. A., Frew D. J., Bojičić I. S., Pierce M.
J., 2012, Publ. Astron. Soc. Aust., submitted
Gvaramadze V. V., Kniazev A. Y., Hamann W.-R., Berdnikov L. N., Fabrika
S., Valeev A. F., 2010, MNRAS, 403, 760
Hambly N. C. et al., 2001, MNRAS, 326, 1295
Iben I., Jr., 1995, Phys. Rep., 250, 2
Jacoby G., Van de Steene G., 2004, A&A, 419, 563
Jacoby G. H. et al., 2010, Publ. Astron. Soc. Aust., 27, 156
Karakas A. I., van Raai M. A., Lugaro M., Sterling N. C., Dinnerstein
H. L., 2009, ApJ, 690, 1130
Kennicutt R., 2000, ApJ, 537, 589
Kerber F., Mignani R. P., Guglielmetti F., Wicenec A., 2003, A&A, 408,
1029
Kwok S., Zhang Y., Koning N., Huang H.-H., Churchwell E. B., 2008, ApJS,
174, 426
Madsen G. J., Frew D. J., Parker Q. A., Reynolds R. J., Haffner L. M., 2006,
in Barlow M. J., Mendez R. J., eds, Proc. IAU Symp. 234, Planetary
Nebulae in our Galaxy and Beyond. Cambridge Univ. Press, Cambridge,
p. 455
Mampaso A. et al., 2006, A&A, 458, 203
Marston A. P., 1997, ApJ, 475, 188
Miszalski B., Parker Q. A., Acker A., Birkby J. L., Frew D. J., Kovacevic
A., 2008, MNRAS, 384, 525
Miszalski B., Napiwotzki R., Cioni M.-R. L., Groenewegen M. A. T.,
Oliveira J. M., Udalski A., 2011, A&A, 531, 157
Mizuno D. R. et al., 2010, AJ, 139, 1552
Parker Q. A. et al., 2005, MNRAS, 362, 689
Parker Q. A. et al., 2006, MNRAS, 373, 79
Phillips J. P., Ramos-Larios G., 2008, MNRAS, 386, 995
Ramos-Larios G., Guerrero M., Suárez O., Miranda L. F., Gómez J. F., 2009,
A&A, 501, 1207
Rieke G. H. et al., 2004, ApJS, 154, 25
Robitaille T. P., Whitney B. A., Indebetouw R., Wood K., Denzmore P.,
2006, ApJS, 167, 256
Robitaille T. P. et al., 2008, AJ, 136, 2413
Sabin L., Zijlstra A., Wareing C., Corradi R. L. M., Mampaso A., Viironen
K., Wright N. J., Parker Q. A., 2010, Publ. Astron. Soc. Aust., 27, 166
Saito R. K. et al., 2012, A&A, 537, 107
Schlafly E., Finkbeiner D. P., 2011, ApJ, 737, 103
Schlegel D. J., Finkbeiner D. P., Davis M., 1998, ApJ, 500, 525
Stock D. J., Barlow M. J., 2010, MNRAS, 409, 1429
Stupar M., Parker Q. A., Filipović M. D., Frew D. J., Bojičić I. S.,
Aschenbach B., 2007, MNRAS, 381, 377
Stupar M., Parker Q. A., Filipović M. D., 2011, Ap&SS, 332, 241
Suárez O., Garcı́a-Lario P., Manchado A., Manteiga M., Ulla A., Pottasch
S. R., 2006, A&A, 458, 173
Viironen K. et al., 2009a, A&A, 502, 113
Viironen K. et al., 2009b, A&A, 504, 291
Wachter S., Mauerhan J. C., Van Dyk Schuyler D., Hoard D. W., Kafka S.,
Morris P. W., 2010, AJ, 139, 2330
Wenger M. et al., 2000, A&A, 143, 9
Werner M. W. et al., 2004, ApJS, 154, 1
Wright E. L. et al., 2010, AJ, 140, 1868
Zhang Y., Kwok S., 2009, ApJ, 706, 252
Zhang Y., Chih-Hao H., Kwok S., 2012, ApJ, 745, 59