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H
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CHO15 - Water Masers in W43A: Early Morphological Changes of a Future Planetary Nebula
Interferometry data
Short title
: Chong et al. (2015)
Authors
: Chong, Sze-NingImai, HiroshiDiamond, Philip J.
Journal
: The Astrophysical Journal, Volume 805, Issue 1, article id. 53,
9
pp. (2015).
Bibcode
:
2015ApJ...805...53C
Target type
: pAGB_PN
Transitions
: H2O_22
Abstract
We present the distribution patterns of H2O maser features in the “water fountain” source (WF) W43A and show that they are closely related to the early morphological changes in a planetary nebula (PN). Using the Very Long Baseline Array, we have detected H2O maser features in W43A in 13 epochs across \gt 10 yr. W43A is the only WF that has been observed for over a decade. We introduce a new cavity model scenario—a halo with a bipolar evacuated volume that has a partially enhanced wall—and compare it with the “traditional” precessing jet model particularly in terms of explaining the bow-shaped distribution patterns of H2O maser features in the most recent epochs and their temporal evolution. Long-term observations show that the distribution patterns require more than a single jet to form. Moreover, we have identified six groups of H2O maser features at both the redshifted and blueshifted sides with point symmetry. The six groups are believed to correspond to periodic mass profiles in the envelope and have recorded the mass-loss history. Together with a geometric similarity to the mid-infrared morphology of W43A, the results suggest that H2O masers can be used to trace the inner morphology and rapid temporal changes in evolved stars, especially where the PN shaping has just started.
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Detection table from Chong et al. (2015)
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individual components
ID
Obs. RA
Obs. Dec
RA offset
Dec offset
l
b
Group id
#
Source name
Image
Descr.
Line
V
peak
F
peak
Telescope
V
step
RMS
Beam
PA
Detection
Class
Dist. (parallax)
Date
(J2000)
(J2000)
(mas)
(mas)
(deg.)
(deg.)
H
2
O
(km/s)
(Jy/beam)
(km/s)
(Jy/beam)
(arcsec)
(deg.)
Yes
/
No
(kpc)
1
+18 47 41.14
-01 45 11.4
30.943942
0.035147
G30.944+0.035
W43A
Image
Descr
22 GHz
;
119.26 .. 123.98
0.5 .. 52.25
VLBA
0.11
0.018
0.00044 x 0.00115
-15
+H
2
O
-CH
3
OH II
+OH
+SiO
MIXED
1994 Jun - 2005 Apr
+18 47 41.1604
-01 45 11.2802
304.51 mas
120.96 mas
30.944010
0.035087
1
W43A
123.98
52.25
+18 47 41.1611
-01 45 11.2726
315.01 mas
128.55 mas
30.944014
0.035085
2
W43A
121.46
9.25
+18 47 41.1601
-01 45 11.2811
300.71 mas
120.07 mas
30.944010
0.035088
3
W43A
121.57
2.55
+18 47 41.1601
-01 45 11.2838
300.67 mas
117.37 mas
30.944009
0.035087
4
W43A
121.12
1.92
+18 47 41.1603
-01 45 11.2837
303.21 mas
117.54 mas
30.944009
0.035087
5
W43A
120.24
2.16
+18 47 41.1604
-01 45 11.2837
305.16 mas
117.46 mas
30.944010
0.035086
6
W43A
119.26
0.6
+18 47 41.1613
-01 45 11.2658
317.59 mas
135.38 mas
30.944016
0.035085
7
W43A
121.41
4.84
+18 47 41.1612
-01 45 11.2655
316.49 mas
135.7 mas
30.944016
0.035086
8
W43A
121.55
0.59
+18 47 41.1613
-01 45 11.266
317.98 mas
135.17 mas
30.944016
0.035085
9
W43A
121.34
0.5
+18 47 41.1613
-01 45 11.2662
317.69 mas
135.03 mas
30.944016
0.035085
10
W43A
120.74
1.42
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GLIMPSE 360
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ATLASGAL 870 um
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select MAX(h2o_data_all.ra_hms) as ra_hms,MAX(h2o_data_all.dec_dms) as dec_dms,MAX(h2o_data_all.source_name) as source_name,MAX(h2o_data_all.ra) as ra,MAX(h2o_data_all.dec) as dec,MAX(h2o_data_all.l) as l,MAX(h2o_data_all.b) as b,MAX(h2o_data_all.grp) as grp,MAX(h2o_data_all.other_name) as other_name,MAX(h2o_data_all.other_desc) as other_desc,BOOL_OR(thermal) as thermal,MAX(h2o_data_all.line) as line,MAX(h2o_data_all.vrange) as vrange,MAX(h2o_data_all.vpeak) as vpeak,MAX(h2o_data_all.peak) as peak,MAX(h2o_data_all.fwhm) as fwhm,MAX(h2o_data_all.int) as int,MAX(h2o_data_all.rms) as rms,MAX(h2o_data_all.units) as units,MAX(h2o_data_all.units_rms) as units_rms,MAX(h2o_data_all.date_txt) as date_txt,MAX(h2o_data_all.telescope_ref) as telescope_ref,MAX(h2o_data_all.telescope_conf) as telescope_conf,MAX(h2o_data_all.v_step) as v_step,MAX(h2o_data_all.beam) as beam,MAX(h2o_data_all.beam_maj) as beam_maj,MAX(h2o_data_all.beam_min) as beam_min,MAX(h2o_data_all.beam_pa) as beam_pa,MAX(h2o_data_all.ref) as ref,MAX(h2o_data_all.list_ref) as list_ref,MAX(h2o_data_all.ascii) as ascii,MAX(h2o_data_all.url) as url,MAX(h2o_data_all.image) as image,MAX(h2o_data_all.image2) as image2,MAX(h2o_data_all.image3) as image3,MAX(h2o_data_all.descr) as descr,MAX(h2o_data_all.id) as id,BOOL_OR(mjy_flag) as mjy_flag,BOOL_OR(rms_mjy_flag) as rms_mjy_flag,MAX(h2o_data_all.dist) as dist,1 as dist_parallax,MAX(h2o_data_all.date_txt) as date_txt,MAX(line_det) as line_det,MAX(type) as type,MAX(simbad_types_cat) as simbad_types_cat FROM h2o_data_all LEFT JOIN all_objects_withmet ON h2o_data_all.grp=all_objects_withmet.group_name LEFT JOIN object_categories ON all_objects_withmet.group_name = object_categories.group_name_cat AND object_categories.tbl_cat = 'all_objects_withmet' LEFT JOIN transitions ON h2o_data_all.line=transitions."Line" WHERE ref ilike 'CHO15' AND detected=true AND hide=false GROUP BY ref
select h2o_data_all.ra_hms,h2o_data_all.dec_dms,h2o_data_all.source_name,h2o_data_all.ra,h2o_data_all.dec,h2o_data_all.l,h2o_data_all.b,h2o_data_all.grp,h2o_data_all.other_name,h2o_data_all.other_desc,h2o_data_all.thermal,h2o_data_all.line,h2o_data_all.vrange,h2o_data_all.vpeak,h2o_data_all.peak,h2o_data_all.fwhm,h2o_data_all.int,h2o_data_all.rms,h2o_data_all.units,h2o_data_all.units_rms,h2o_data_all.date_txt,h2o_data_all.telescope_ref,h2o_data_all.telescope_conf,h2o_data_all.v_step,h2o_data_all.beam,h2o_data_all.beam_maj,h2o_data_all.beam_min,h2o_data_all.beam_pa,h2o_data_all.ref,h2o_data_all.list_ref,h2o_data_all.ascii,h2o_data_all.url,h2o_data_all.image,h2o_data_all.image2,h2o_data_all.image3,h2o_data_all.descr,h2o_data_all.id,h2o_data_all.mjy_flag,h2o_data_all.rms_mjy_flag,h2o_data_all.dist,h2o_data_all.dist_parallax,h2o_data_all.date_txt,line_det,type,simbad_types_cat FROM h2o_data_all LEFT JOIN all_objects_withmet ON h2o_data_all.grp=all_objects_withmet.group_name LEFT JOIN object_categories ON all_objects_withmet.group_name = object_categories.group_name_cat AND object_categories.tbl_cat = 'all_objects_withmet' LEFT JOIN transitions ON h2o_data_all.line=transitions."Line" WHERE ref ilike 'CHO15' AND detected=true AND hide=false ORDER BY detected DESC,id
