2024A&A...688A.203M


Query : 2024A&A...688A.203M

2024A&A...688A.203M - Astronomy and Astrophysics, volume 688A203 (2024/8-1)

The new Herschel/PACS Point Source Catalogue.

MARTON G., GEZER I., MADARASZ M., DIONATOS O., AUDARD M., ROQUETTE J., HERNANDEZ D., PALADINI R. and ALTIERI B.

Abstract (from CDS):

Context. Herschel operated as an observatory, and therefore it did not cover the whole sky, but still observed ∼8% of it. The first version of an overall Herschel/PACS Point Source Catalogue (PSC) was released in 2017. The data are still unique and are very important for research using far-infrared information, especially because no new far-infrared mission is foreseen for at least the next decade. In the framework of the NEMESIS project, we revisited all the photometric observations obtained by the PACS instrument on-board the Herschel space observatory, using more advanced techniques than before, including machine learning techniques.
Aims. Our aim was to build the most complete and most accurate Herschel/PACS catalogue to date. Our primary goal was to increase the number of real sources, and decrease the number of spurious sources identified on a strongly variable background, which is due to the thermal emission of the interstellar dust, mostly located in star-forming regions. Our goal was to build a blind catalogue, meaning that source extraction is conducted without relying on prior detections at various wavelengths, allowing us to detect sources never catalogued before.
Methods. The methods for data analysis have evolved continuously since the first release of a uniform Herschel/PACS catalogue. We define a hybrid strategy that includes classical and machine learning source identification and characterisation methods that optimise faint-source detection, providing catalogues at much higher completeness levels than before. Quality assessment also involves machine learning techniques. Our source extraction methodology facilitates a systematic and impartial comparison of sensitivity levels across various Herschel fields, a task that was typically beyond the scope of individual programmes.
Results. We created a high-reliability and a rejected source catalogue for each PACS passband: 70, 100, and 160 μm. With the high-reliability catalogue, we managed to significantly increase the completeness in all bands, especially at 70 μm. At the same time, while the number of high-reliability detections decreased, the number of sources matching with existing catalogues increased, suggesting that the purity is also higher than before. The photometric accuracy of our pipeline is ∼1% based on comparison with the standard star models.

Abstract Copyright: © The Authors 2024

Journal keyword(s): methods: data analysis - space vehicles: instruments - techniques: photometric - catalogs - stars: protostars

VizieR on-line data: <Available at CDS (J/A+A/688/A203): bshrcds.dat blhrcds.dat rhrcds.dat bsrejcds.dat blrejcds.dat rrejcds.dat>

Status at CDS : Objects in title, abstract, text, figures, and all or part of small table(s) being processed in SIMBAD. // All or part of tables of objects will not be ingested in SIMBAD.

Simbad objects: 34

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Number of rows : 34
N Identifier Otype ICRS (J2000)
RA
ICRS (J2000)
DEC
Mag U Mag B Mag V Mag R Mag I Sp type #ref
1850 - 2026
#notes
1 M 31 AGN 00 42 44.330 +41 16 07.50 4.86 4.36 3.44     ~ 13622 1
2 * bet And PM* 01 09 43.92388 +35 37 14.0075 5.58 3.62 2.05 0.81 -0.19 M0+IIIa 572 1
3 * alf Ari PM* 02 07 10.40570 +23 27 44.7032 4.29 3.17 2.01 1.15 0.54 K2-IIIbCa-1 644 2
4 * omi Cet Mi* 02 19 20.79210 -02 58 39.4956   7.63 6.53 5.03   M5-9IIIe+DA 1586 0
5 * del Hyi PM* 02 21 44.9423652192 -68 39 33.906922488 4.17 4.12 4.09 4.05 4.04 A2V 119 0
6 ACO 370 ClG 02 39 50.5 -01 35 08           ~ 825 0
7 * alf Cet LP? 03 02 16.77307 +04 05 23.0596 6.10 4.17 2.53 1.18 0.02 M1.5IIIa 480 1
8 LDN 1489 DNe 04 04 47.5 +26 19 42           ~ 238 0
9 * alf Tau LP? 04 35 55.23907 +16 30 33.4885 4.32 2.40 0.86 -0.37 -1.31 K5+III 1298 2
10 * eps Lep PM* 05 05 27.6644072506 -22 22 15.724153311 6.41 4.64 3.18 2.08 1.27 K4III 169 0
11 HD 39608 * 05 49 36.4581598776 -60 40 34.657139244   8.91 7.35     K5III 24 0
12 HD 41047 * 06 01 16.2976481208 -33 54 42.608011716   7.102 5.524     K5III 42 0
13 NAME Rosette Molecular Cloud MoC 06 34.7 +04 02           ~ 277 0
14 * bet Gem PM* 07 45 18.94987 +28 01 34.3160 3.00 2.14 1.14 0.39 -0.11 K0IIIb 1150 2
15 ACO 851 ClG 09 43 01.2 +46 59 54   18.9       ~ 334 0
16 M 81 Sy2 09 55 33.1726556496 +69 03 55.062505368   7.89 6.94     ~ 4725 3
17 NAME COSMOS Field reg 10 00 28.60 +02 12 21.0           ~ 3639 0
18 NAME Lockman Hole reg 10 45 00.0 +58 00 00           ~ 910 0
19 NAME Antennae IG 12 01 53.170 -18 52 37.92           ~ 1749 0
20 GRS G308.60 +00.60 HII 13 39.9 -61 45           ~ 108 0
21 * alf Boo RG* 14 15 39.67207 +19 10 56.6730 2.46 1.18 -0.05 -1.03 -1.68 K1.5IIIFe-0.5 2417 1
22 HD 138265 * 15 27 51.4237531200 +60 40 12.796947012 9.030 7.350 5.900     K5III 47 0
23 * tet UMi V* 15 31 24.9136103328 +77 20 57.695859924   6.535 4.982     K5-IIICN0.5 126 0
24 LDN 1780 DNe 15 39.7 -07 10           ~ 82 0
25 * eta Dra PM* 16 23 59.4863284800 +61 30 51.155139060 4.35 3.65 2.74 2.12 1.66 G8-IIIab 313 0
26 HD 152222 * 16 47 04.6184032608 +67 16 00.529666644   8.55 7.03     K2III 20 0
27 NGC 6357 OpC 17 24 44 -34 12.2           ~ 303 0
28 HD 159330 * 17 30 43.5747719616 +57 52 36.566848992 9.210 7.640 6.210     K2III 44 0
29 * gam Dra * 17 56 36.36988 +51 29 20.0242 5.630 3.760 2.230 1.08 0.23 K5III 581 1
30 NGC 6618 OpC 18 20 47 -16 10.3           ~ 1700 0
31 * 42 Dra PM* 18 25 59.1369601368 +65 33 48.531343788   6.005 4.823     K1.5IIIFe-1 190 1
32 * del Dra PM* 19 12 33.3013729052 +67 39 41.539165396 4.85 4.07 3.07 2.37 1.86 G9III 295 0
33 NGC 6946 H2G 20 34 52.332 +60 09 13.24   10.5       ~ 2661 2
34 * ome Cap V* 20 51 49.2905373888 -26 55 08.885443656 7.66 5.75 4.12 2.87 1.93 M0IIIBa0.5 108 0

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