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WOO07 - A search for 22-GHz H₂O masers in supernova remnants

Short title: Woodall & Gray (2007)
Authors: Woodall, J. M.Gray, M. D.
Journal: Monthly Notices of the Royal Astronomical Society: Letters, Volume 378, Issue 1, pp. L20-L23.
Bibcode:

Target type: SNR

Abstract

We have examined 18 known supernova remnants for evidence of the 22.235-GHz water maser spectral line, using the 20-m telescope at the Onsala observatory in Sweden. No evidence of such emission was discovered above the background noise in any of the observations. We have developed a radiative transfer water maser model for the shocked regions of supernova remnants in order to determine why this emission was not detected. The model indicates an insignificant amount of 22.235-GHz gain the gain lengths are far too short to allow the formation of detectable water masers from these objects. We predict that only in unusual environments can 22-GHz water masers be detected around supernova remnants.

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Detection table from Woodall & Gray (2007)

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ID	Obs. RA	Obs. Dec	l	b	Group id	Source name	Line	Telescope	RMS	Detection	Class
	(J2000)	(J2000)	(deg.)	(deg.)			H₂O		(Jy)	Yes/No
1	18 56 06	+01 18 00	34.6204	-0.4442	G34.620-0.444	SNR 034.7-00.4*	22 GHz;	Onsala	0.884	-H₂O
2	19 11 09	+09 06 24	43.2748	-0.1902	G43.275-0.190	SNR 043.3-00.2	22 GHz;	Onsala	0.595	-H₂O	SFR_MIXED
3	19 23 48	+14 02 54	49.0911	-0.6201	G49.091-0.620	SNR 049.2-00.7	22 GHz;	Onsala	0.833	-H₂O	SFR
4	19 38 42	+17 15 00	53.6245	-2.2248	G53.624-2.225	SNR 053.6-02.2	22 GHz;	Onsala	0.850	-H₂O
5	19 33 22.5	+18 58 34	54.5162	-0.2791	G54.516-0.279	SNR 054.4-00.3	22 GHz;	Onsala	0.952	-H₂O	UNK
6	19 53 24	+32 53 00	68.8160	2.7487	G68.816+2.749	SNR 068.8+02.6	22 GHz;	Onsala	0.969	-H₂O
7	20 13 37	+36 06 54	73.7702	0.9425	G73.770+0.942	SNR 073.9+00.9	22 GHz;	Onsala	0.340	-H₂O
8	20 16 02	+37 13 24	74.9613	1.1545	G74.961+1.154	SNR 074.9+01.2	22 GHz;	Onsala	0.833	-H₂O	EVOLVED
9	20 19 00	+45 42 00	82.3166	5.4282	G82.317+5.428	SNR 082.2+05.3	22 GHz;	Onsala	0.374	-H₂O	UNK
10	23 23 24	+58 48 54	111.7347	-2.1296	G111.747-2.110	SNR 111.7-02.1	22 GHz;	Onsala	0.510	-H₂O -CH₃OH I -CH₃OH II	SFR
11	00 03 06	+67 23 00	118.2967	4.9476	G118.297+4.948	SNR 118.3+04.8	22 GHz;	Onsala	0.901	-H₂O	SFR
12	02 05 38	+64 49 42	130.7194	3.0844	G130.719+3.084	SNR 130.7+03.1	22 GHz;	Onsala	1.020	-H₂O	EVOLVED
13	04 58 51.3	+51 50 28	156.1264	5.6906	G156.126+5.691	SNR 156.2+05.7	22 GHz;	Onsala	1.105	-H₂O	EVOLVED
14	06 18 2.7	+22 39 36	189.0648	3.2350	G189.065+3.235	SNR 189.1+03.0#	22 GHz;	Onsala	0.323	-H₂O -CH₃OH I	EVOLVED
15	06 38 43	+06 30 12	205.6971	0.1483	G205.697+0.148	SNR 205.5+00.5	22 GHz;	Onsala	0.714	-H₂O	EVOLVED
16	06 48 41	+06 26 42	206.8798	2.3243	G206.880+2.324	SNR 206.9+02.3	22 GHz;	Onsala	0.986	-H₂O
17	00 25 13	+64 08 42	120.0774	1.4187	G120.077+1.419	V B Cas	22 GHz;	Onsala	0.952	-H₂O	UNK
18	05 34 32	+22 00 52	184.5576	-5.7842	G184.560-5.784	V CM Tau	22 GHz;	Onsala	0.374	-H₂O	SFR_MIXED

X

DSS colored	2MASS colored	WISE colored
PACS color (70-160 um)	SPIRE color (250-500 um)	GLIMPSE 360
SDSS color	IRAC color I1,I2,I4	NVSS (1.4GHz)
ATLASGAL 870 um	ATLASGAL 870 um + Planck	Bolocam 1.1 mm
UKIDSS K Download UKIDSS K FITS	2MASS K Download 2MASS K FITS

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 'WOO07' 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 'WOO07' AND detected=true AND hide=false ORDER BY detected DESC,id