DIVA currently contains high-level science products (HLSP) for the surveys listed in the following table. If you wish your survey to be available in DIVA, please contact the scientific team.
High-Level Science Products | ||||||||||
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Survey author | Year | Survey name | Reference paper | Note | PSF image | Reduced image | Detection limit | Sensitivity map | Candidates | Download |
Masciadri | 2005 | Masciadri-05 | 2005ApJ...625.1004M | No | No | Yes | No | No | Archive (46 KB) | |
Song | 2005 | Song-HST | GO10176, unpublished | (a) | No | Yes | No | Yes | No | Archive (48 MB) |
Biller | 2007 | Biller-07 | 2007ApJS..173..143B | No | Yes | Yes | No | No | Archive (9.7 MB) | |
Kasper | 2007 | Kasper-07 | 2007A&A...472..321K | No | Yes | Yes | No | No | Archive (2.7 MB) | |
Lafrenière | 2007 | GDPS | 2007ApJ...670.1367L | No | No | Yes | No | Yes | Archive (1.1 MB) | |
Chauvin | 2010 | DISYNAS | 2010A&A...509A..52C | Yes | Yes | Yes | No | Yes | Archive (422 MB) | |
Heinze | 2010 | Heinze-10 | 2010ApJ...714.1551H | (b) | No | Yes | Yes | No | Yes | Archive (33 MB) |
Vigan | 2012 | IDPS-I | 2012A&A...544A...9V | Yes | Yes | Yes | Yes | Yes | Archive (731 MB) | |
Rameau | 2013 | YoungDusty | 2013A&A...553A..60R | Yes | Yes | Yes | Yes | Yes | Archive (125 MB) | |
Chauvin | 2015 | NaCo-LP | 2015A&A...573A.127C | Yes | Yes | Yes | Yes | Yes | Archive (1.6 GB) | |
Meshkat | 2015 | Meshkat-15a | 2015ApJ...800....5M | (c) | No | Yes | Yes | No | Yes | Archive (9.5 KB) |
Meshkat | 2015 | Meshkat-15b | 2015MNRAS.453.2533M | (c) | No | Yes | Yes | No | Yes | Archive (19 kB) |
Durkan | 2016 | Durkan-Spitzer | 2016ApJ...824...58D | (d) | Yes | Yes | Yes | No | No, but see (d) | Archive (636 MB) |
Galicher | 2016 | IDPS-II | 2016A&A...594A..63G | No | Yes | Yes | No | Yes | Archive (2.7 GB) | |
Meshkat | 2017 | Meshkat-17 | 2017AJ....154..245M | No | No | Yes | No | Yes | Archive (119 kB) | |
Chauvin | 2021 | SHINE-F150 | 2017sf2a.conf..331C | (e) | No | Yes | Yes | Yes | Yes |
IRDIS (5.2 GB) IFS (2.9 GB) Remainers (4.0 GB) |
Song-HST: the results of this HST/NICMOS survey (GO10176) were never published, but the follow-up of most candidates was done in the DISYNAS survey (Chauvin et al. 2010). For a more complete analysis of this survey including the position and contrast of detected candidates, please see the re-analysis of the HST/NICMOS coronagraphic archive by the ALICE project
Heinze-10: The detection limits of this survey are directly provided in apparent magnitude in L- or M-band.
Meshkat-15a, Meshkat-15b: The observations of these two surveys were performed with the NaCo apodizing phase plate (APP), which provides diffraction suppression only on one side of the PSF. The targets were observed at two different dates to cover properly the complete field-of-view. For this reason, no date of observation is reported in the database for all targets except the ones where a candidate companion was detected. For the latter, the date at which the astrometry of the candidates are reported have been used in DIVA for the corresponding observations.
Durkan-Spitzer: The detection limits of this survey are directly provided in apparent Vega magnitude (see Durkan et al. 2016 and Marengo et al. 2009). All candidates with 1 arcminute have been determined to be either background objects or bad pixels (Durkan et al. 2016)
SHINE-F150: First release of the SPHERE (Beuzit et al., 2019) High-contrast ImagiNg large survey for Exoplanets (SHINE, Chauvin et al., 2017). In this release, 150 targets over 600 observed have been published in three A&A papers: Desidera et al. 2021, Langlois et al. 2021, and Vigan et al. 2020. The raw images have been carefully reduced and validated by the DATA Center at Grenoble (Delorme, P. et al. 2017).
We provide three archives of HCI-FITS:
SHINE is one of the most complet survey of high contrast imaging. We provide for each observation a Reduced cube of images, a cube of sensitivity map, candidates characterization, etc. (in 39 wavelengths for IFS and in two large band filters for IRDIS). In some rare cases, a few data can be missing. In this cases, two keywords (DIVA_PB and DIVA_PBM) in the main header of the HCI-FITS will detail which reduced data are uncomplet (contact DIVA+ team and Data center team for more informations).
For the observations contained in DIVA, the following information can be available. If the information is unknown, the field is empty in the database.
For the detected candidates, the following information is provided when available: