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The RMS Survey: Radio observations of candidate massive YSOs in the southern hemisphere

Astrophysics · Submitted 31 May 2006

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim More significant than those sources associated with radio emission are the 627 RMS sources for which no radio emission was detected as these sources are still potential MYSOs.

how it is stated · asserted 0.63 read the record →

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arXiv IDastro-ph/0605738 (version 2)
Pith ID5VYPWSOT, Pith's permanent record of this paper and its review
CitationA. J. Clarke, A. L. Busfield, J. C. Mottram, J. S. Urquhart, M. G. Hoare, R. D. Oudmaijer, S. L. Lumsden, T. J. T. Moore. "The RMS Survey: Radio observations of candidate massive YSOs in the southern hemisphere." arXiv:astro-ph/0605738 (2006). https://pith.science/paper/5VYPWSOT
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The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13-20260917 via OpenRouter, question bank abstract-p1-20260923, 2026-09-23: 1 request, 8,517 input tokens, $0.0004 reported.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.90 · human participants 0.01 · controlled comparison 0.25 · randomized assignment 0.01 · states quantitative result 0.99 · compares with prior results 0.20 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v2. Results and the main claim are underlined; .

The Red MSX Source (RMS) survey is a multi-wavelength program of follow-up observations designed to distinguish between genuine massive young stellar objects (MYSOs) and other embedded or dusty objects, such as ultra compact (UC) HII regions, evolved stars and planetary nebulae (PNe). We have identified nearly 2000 massive YSOs candidates by comparing the colours of MSX and 2MASS point sources to those of known MYSOs. Unfortunately, there are several other types of embedded or dust enshrouded objects that have similar colours as MYSOs and contaminate our sample. Two sources of contamination are from UCHII regions and PNe, both of which can be identified from the radio emission emitted by their ionised nebulae. In order to identify UCHII regions and PNe that contaminate our sample we have conducted high resolution radio continuum observations at 3.6 and 6 cm of all southern MYSOs candidates ($235< l < 350$) using the Australia Telescope Compact Array (ATCA). These observations have a spatial resolution of $\sim$1--2\arcsec and typical image rms noise values of $\sim$0.3 mJy -- sensitive enough to detect a B0.5 star at the far side of the Galaxy. Of the 826 RMS sources observed we found 199 to be associated with radio emission, $\sim$25% of the sample. More significant than those sources associated with radio emission are the 627 RMS sources for which no radio emission was detected as these sources are still potential MYSOs. The Galactic distribution, morphologies and spectral indices of the radio sources associated with the RMS sources are consistent with these sources being UCHII regions. In addition to the 826 RMS sources observed we present observations of a further 190 fields. These observations were made towards MSX sources that passed cuts in earlier versions of the survey, but were later excluded.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 The Red MSX Source (RMS) survey is a multi-wavelength program of follow-up observations designed to distinguish between genuine massive young stellar objects (MYSOs) and other embedded or dusty objects, such as ultra compact (UC) HII regions, evolved stars and planetary nebulae (PNe). background 0.83 0.47 0.04 asserted 1.00
s1 We have identified nearly 2000 massive YSOs candidates by comparing the colours of MSX and 2MASS point sources to those of known MYSOs. contribution 0.54 0.93 0.05 asserted 1.00
s2 Unfortunately, there are several other types of embedded or dust enshrouded objects that have similar colours as MYSOs and contaminate our sample. limitation 0.79 0.44 0.03 asserted 1.00
s3 Two sources of contamination are from UCHII regions and PNe, both of which can be identified from the radio emission emitted by their ionised nebulae. background 0.94 0.09 0.04 asserted 0.86
s4 In order to identify UCHII regions and PNe that contaminate our sample we have conducted high resolution radio continuum observations at 3.6 and 6 cm of all southern MYSOs candidates ($235< l < 350$) using the Australia Telescope Compact Array (ATCA). method 0.94 0.97 0.04 asserted 1.00
s5 These observations have a spatial resolution of $\sim$1--2\arcsec and typical image rms noise values of $\sim$0.3 mJy -- sensitive enough to detect a B0.5 star at the far side of the Galaxy. method 0.99 0.90 0.03 asserted 1.00
s6 Of the 826 RMS sources observed we found 199 to be associated with radio emission, $\sim$25% of the sample. result 1.00 0.97 0.14 asserted 1.00
s7 More significant than those sources associated with radio emission are the 627 RMS sources for which no radio emission was detected as these sources are still potential MYSOs. result 0.69 0.93 0.29 asserted 0.63
s8 The Galactic distribution, morphologies and spectral indices of the radio sources associated with the RMS sources are consistent with these sources being UCHII regions. interpretation 0.79 0.87 0.33 hedged possibility 0.97
s9 In addition to the 826 RMS sources observed we present observations of a further 190 fields. contribution 0.89 0.93 0.02 asserted 1.00
s10 These observations were made towards MSX sources that passed cuts in earlier versions of the survey, but were later excluded. contribution 0.82 0.80 0.02 asserted 1.00

What kind of paper the classifier reports this is: empirical study 0.86 · evidence from observation or experiment 1.00.

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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

The Red MSX Source (RMS) survey is a multi-wavelength program of follow-up observations designed to distinguish between genuine massive young stellar objects (MYSOs) and other embedded or dusty objects, such as ultra compact (UC) HII regions, evolved stars and planetary nebulae (PNe). We have identified nearly 2000 massive YSOs candidates by comparing the colours of MSX and 2MASS point sources to those of known MYSOs. Unfortunately, there are several other types of embedded or dust enshrouded objects that have similar colours as MYSOs and contaminate our sample. Two sources of contamination are from UCHII regions and PNe, both of which can be identified from the radio emission emitted by their ionised nebulae. In order to identify UCHII regions and PNe that contaminate our sample we have conducted high resolution radio continuum observations at 3.6 and 6 cm of all southern MYSOs candidates ($235< l < 350$) using the Australia Telescope Compact Array (ATCA). These observations have a spatial resolution of $\sim$1--2\arcsec and typical image rms noise values of $\sim$0.3 mJy -- sensitive enough to detect a B0.5 star at the far side of the Galaxy. Of the 826 RMS sources observed we found 199 to be associated with radio emission, $\sim$25% of the sample. More significant than those sources associated with radio emission are the 627 RMS sources for which no radio emission was detected as these sources are still potential MYSOs. The Galactic distribution, morphologies and spectral indices of the radio sources associated with the RMS sources are consistent with these sources being UCHII regions. In addition to the 826 RMS sources observed we present observations of a further 190 fields. These observations were made towards MSX sources that passed cuts in earlier versions of the survey, but were later excluded.

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