- ID:
- ivo://jvo/isas/darts/akari/AKARI-IRC_Spectrum_Pointed_SlitlessMIR_spectrum_1.0
- Title:
- AKARI/IRC MIR-S slit-less spectroscopic catalogue
- Short Name:
- AKARI_IRC_SPEC_V1
- Date:
- 07 Feb 2023 00:55:14
- Publisher:
- JVO
- Description:
- A catalogue of mid-infrared slit-less spectra (5.5-12.5 ?m) extracted from the AKARI/IRC MIR-S spectroscopic observation data. All 886 MIR-S spectroscopic data obtained in Phases 1&2 are analyzed, and 862 spectra of 604 individual sources that are little contaminated by nearby sources are catalogued. We also present a 9 ?m point source catalogue generated as a by-product. The point source catalogue contains 42,387 sources brighter than 0.3 mJy.
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- ID:
- ivo://jvo/isas/darts/akari/AKARI-IRC_Spectrum_Pointed_GALPN_1.0
- Title:
- AKARI/IRC NIR Spectral Atlas of Galactic Planetary Nebulae
- Short Name:
- AKARI_IRC_SPEC_GALPN
- Date:
- 07 Feb 2023 00:54:25
- Publisher:
- JVO
- Description:
- This catalog contains near-infrared (2.5--5.0 micron) low-resolution (R ~ 100) spectra of 72 Galactic Planetary Nebulae (PNe), obtained with the InfraRed Camera (IRC) onboard the AKARI satellite in the post-helium phase. The objects were treated as almost point sources for the IRC. Grism spectroscopy was carried out in the 1-arcmin window. The near-infrared spectra were obtained in a slit-less mode without any flux loss due to a slit. The spectra show emission features including hydrogen recombination lines, helium recombination lines, the 3.3--3.5 micron hydrocarbon features, [MgIV] at 4.49 micron, and [ArVI] at 4.53 micron. This catalog also contains the intensity and equivalent width of these emission features measured by spectral fitting. The source list (source.dat) summarizes observations. As ancillary data, the magnitudes in the V- and Ks-band, the extinction at V-band toward the objects, and the effective temperature collected from literature are listed in another table (misc.dat). The intensities and the equivalent widths of the emission features are tabulated in different tables (intens.dat and equivw.dat). Each object is identified by the PNG ID (PNG) or an observation ID (Obs-ID). One-dimensional near-infrared spectra are stored in a directory (spc/). Each spectrum is identified by the observation ID.
- ID:
- ivo://CDS.VizieR/J/MNRAS/444/846
- Title:
- AKARI NEP Survey sources at 18um
- Short Name:
- J/MNRAS/444/846
- Date:
- 21 Oct 2021
- Publisher:
- CDS
- Description:
- We present the first galaxy counts at 18{mu}m using the Japanese AKARI satellite's survey at the North Ecliptic Pole (NEP), produced from the images from the NEP-Deep and NEP-Wide surveys covering 0.6 and 5.8deg^2^, respectively. We describe a procedure using a point source filtering algorithm to remove background structure and a minimum variance method for our source extraction and photometry that delivers the optimum signal to noise for our extracted sources, confirming this by comparison with standard photometry methods. The final source counts are complete and reliable over three orders of magnitude in flux density, resulting in sensitivities (80 per cent completeness) of 0.15 and 0.3mJy for the NEP-Deep and NEP-Wide surveys, respectively, a factor of 1.3 deeper than previous catalogues constructed from this field. The differential source counts exhibit a characteristic upturn from Euclidean expectations at around a milliJansky and a corresponding evolutionary bump between 0.2-0.4mJy consistent with previous mid-infrared surveys with ISO and Spitzer at 15 and 24{mu}m. We compare our results with galaxy evolution models confirming the striking divergence from the non-evolving scenario. The models and observations are in broad agreement implying that the source counts are consistent with a strongly evolving population of luminous infrared galaxies at redshifts higher than unity. Integrating our source counts down to the limit of the NEP survey at the 150{mu}Jy level we calculate that AKARI has resolved approximately 55 per cent of the 18{mu}m cosmic infrared background relative to the predictions of contemporary source count models.