CARS survey data 2009-01-20T10:40:00 1000 Images and data from from the CFHTLS archive research survey, a multi-band dataset spanning 37 square degrees of sky in high galactic latitudes. catalogs surface-photometry galaxy-distances observational-cosmology 2009A&A...493.1197E Erben, T.; Hildebrandt, H.; Lerchster, M.; Hudelot, P.; Benjamin, J.; van Waerbeke, L.; Schrabback, T.; Brimioulle, F.; Cordes, O.; Dietrich, J. P.; Holhjem, K.; Schirmer, M.; Schneider, P. `_, the `CFHTLS project `_ and the publication 2009A&A...493.1197E]]> =0.95) - red: galaxies with high-confidence photo-z estimates: (SExtractor CLASS_STAR < 0.95; reliable object photometry in five bands; BPZ ODDS quality parameter > 0.9); see also Sect. 4 of 2009A&A...493.1197E - blue: all other galaxies (SExtractor CLASS_STAR < 0.95) CATALOGUE QUANTITIES ==================== See 2009A&A...493.1197E, in particular Sect. 4, and the SExtractor Users manual for a description of most catalogue entries. Also see the table notes. CURRENT COVERAGE ================ .. image:: \internallink{cars/q/cat/static/fields.png} :alt: CARS coverage ]]> Optical Infrared //scs#pgs-pos-indexExtracted sources from the CARS survey, comprising positions and multiband photometry.Position ICRS "raj2000" "dej2000" bandS,band U,u* G,g' R,r' I,i' Z,z' to estimate a mean magnitude will, in all likelihood, *not* give the correct result since values of 99 will be present in the sum. Instead, use something like:: SELECT sum(magisoU)/count(*) FROM cars.srccat WHERE magisoErrU IS NOT NULL AND ]]> The relation between NgoodFilters/NBPZ_GOODFILT, NbadFilters/NBPZ_BADFILT, NfaintFilters/NBPZ_LIMFILT is as follows: The number of filters in which an object has 'reliable photometry' is given NgoodFilters. Reliable photometry means magnitude errors < 1 mag and an object brighter than the limiting magnitude. NbadFilters is the number of filters in which an object has formal magnitude errors of 1 mag or larger. NfaintFilters is the number of filters in which an object is fainter than the formal limiting magnitude. If an object would fall into badFilters AND faintFilters it is listed under badFilters. Magnitude errors refer to isophotal magnitudes; the adopted limiting magnitude is defined in Sect. 2 of 2009A&A...493.1197E. `_. The goodFilters/BPZ_GOODFILT, badFilters/BPZ_BADFILT, and failtFilters/BPZ_LIMFILT columns contain a binary encoding of the filters: ====== === ===== Filter Bit Value ====== === ===== u* 0 1 g' 1 2 r' 2 4 i' 3 8 z' 4 16 ====== === ===== The columns contain the sum of the values of the filters fulfilling the corresponding criteria.]]> For non-detected objects in a filter magnitude limit columns might contain an invalid value NaN (NULL in the database).
return {"fieldKey": os.path.basename(sourceToken).split("_")[0], "fieldBandKey": os.path.basename(sourceToken).split(".")[0]} SeqNr, carsid, raj2000, dej2000, xpos, ypos, magAuto, magErrAuto, magisoU, magisoErrU, magisoG, magisoErrG, magisoR, magisoErrR, magisoI, magisoErrI, magisoZ, magisoErrZ, magaprU, magaprErrU, magaprG, magaprErrG, magaprR, magaprErrR, magaprI, magaprErrI, magaprZ, magaprErrZ, maglimU, maglimG, maglimR, maglimI, maglimZ, fwhm, fluxRadius, majorAxis, minorAxis, theta, sgclass, mask, extflags, z_b, t_b, odds, NgoodFilters, NbadFilters, NfaintFilters, goodFilters, badFilters, faintFilters vars["goodFilters"] "goodFilters" vars["badFilters"] "badFilters" vars["faintFilters"] "faintFilters" ["magAuto", "magErrAuto", "magisoU", "magisoErrU", "magaprU", "magaprErrU", "maglimU", "magisoG", "magisoErrG", "magaprG", "magaprErrG", "maglimG", "magisoR", "magisoErrR", "magaprR", "magaprErrR", "maglimR", "magisoI", "magisoErrI", "magaprI", "magaprErrI", "maglimI", "magisoZ", "magisoErrZ", "magaprZ", "magaprErrZ", "maglimZ",] for c in nullableColumns: if vars[c]=='-99.0000' or vars[c]=='99.0000': vars[c] = None bool(int(@mask)) Metadata for co-added CFHTLS archive images used for producing the CARS source list (cars.srccat). //obscore#publishSIAP
3/276,297 4/669-671,692-693,712,714,1093,1108,1110,1166-1167,1200,1202,2287,2298-2299,2302 1.65537e-19 6.01953e-19 "cars.images" "CARS-"+vars["parser_"].sourceToken.split("/")[-2] "CFHT 3.6m" None vars["FILTER"].strip() fieldBandKey,fieldKey texptime:TEXPTIME, ncombine:NCOMBINE, magzp:MAGZP, magzperr:MAGZPERR, seeing:SEEING, seeingerr:SEEINERR
"cars.weights" "application/octet-stream" Common configuration for regions, masks, and catalogs True //products#table Metadata for CARS region files. An ASCII ds9 region file containing saoimage/ds9 polygon entries (in pixel coordinates). They represent the CARS image masks described in Sect. 3.4 of 2009A&A...493.1197E. Polygons originating from different masking procedures are encoded with different colours (look at expressions such as '# color=yellow' at the end of each line). We offer this file so that interested users can construct own masks containing only parts of our global MASK key. (typical gzipped file size per field: 1MB) The colour coding in these files is as follows: - yellow: masks from our object density analysis and stars identified in the USNO-A2 catalogue - green: stars identified in the GSC1 and GSC2 cataogues - magenta: masks around extended haloes of bright stars - red: masks from our asteroid track analysis
"cars.regions" "application/octet-stream" Metadata for low resolution true colour i', r' and g' JPG images of the CARS fields. These images allow a quick look at the data but they are probably not suitable for high-quality poster print-outs. (typical file size per field: 10MB)
"cars.truecol" "image/jpeg" =0.95) - red: galaxies with high-confidence photo-z estimates: (SExtractor CLASS_STAR < 0.95; reliable object photometry in five bands; BPZ ODDS quality parameter > 0.9); see also Sect. 4 of 2009A&A...493.1197E. - blue: all other galaxies (SExtractor CLASS_STAR < 0.95) ]]>
"cars.masks" "image/jpeg" Metadata for CARS object catalogues in FITS binary format; beware that they are very big and cumbersome to handle if you do not have efficient tools to work on big FITS binary tables! (typical file size per field: 0.5GB)
Original products of the CARS survey. "cars.cats" "application/octet-stream" A view combining most of the CARS-related products. fieldKey bandpassId ncombine texptime magzp magzperr seeing seeingerr accref accsize CREATE VIEW \curtable AS ( SELECT im.fieldKey, im.bandpassId, im.ncombine, im.texptime, im.magzp, im.magzperr, im.seeing, im.seeingerr, im.accref, im.accsize, cars.weights.accref as weightlink, cars.weights.accsize as weightsize, cars.regions.accref as regionlink, cars.regions.accsize as regionsize, cars.truecol.accref as truecollink, cars.masks.accref as masklink, cars.cats.accref as catlink, cars.cats.accsize as catsize FROM cars.images AS im JOIN cars.weights USING (fieldBandKey) JOIN cars.regions USING (fieldKey) JOIN cars.truecol USING (fieldKey) JOIN cars.masks USING (fieldKey) JOIN cars.cats USING (fieldKey))
import_images import_weights import_regions import_truecol import_masks import_cats create_prereqs create_products_view Datalink service data "cars/data" _linksByExt = { "truecol.jpg": { "contentType": "image/jpeg", "semantics": "#preview-image", "description": "Color preview"}, "obj.jpg": { "contentType": "image/jpeg", "semantics": "#preview-image", "description": "Preview of the object mask"}, "reg.gz": { "contentType": "application/octet-stream", "description": "DS9 masks for unusable regions", "semantics": "#auxiliary"}, "asc.gz": { "contentType": "text/plain", "semantics": "#source-list", "description": "Extracted sources."}, } root = "cars/q/dl/static/" stem = descriptor.accref.split("/")[-1][:-15] dir = descriptor.accref.split("/")[-2] catDir = os.path.join(base.getConfig("inputsDir"), "cars/data/catalogues", dir) yield descriptor.makeLink(makeAbsoluteURL(root+ "images/%s/%s.swarp.cut.weight.fits.gz"%(dir, stem)), contentType="application/fits", description="Weights", semantics="#weight") for fName in os.listdir(catDir): try: yield descriptor.makeLink(makeAbsoluteURL(root+ "catalogues/%s/%s"%(dir, fName)), **_linksByExt[".".join(fName.split(".")[-2:])]) except KeyError: # unknown extension, ignore pass yield descriptor.makeLink("http://dc.g-vo.org/tap", description="TAP service with this data in obscore") CARS product query /cars/q/cat/form A simple search interface to the images used to generate the \RSTservicelink{/cars/q/cat/form}{CARS source catalogue}. Current data coverage:

]]> return T.a(href=makeProductLink(data[0]))[ "Download %s"%utils.formatSize(int(data[1]))] return T.a(href=makeProductLink(data[0]))[ "Download %s"%utils.formatSize(int(data[1]))] return T.a(href=makeProductLink(data[0]))[ "%s objects (%s)"%(data[2], utils.formatSize(int(data[1])))] 1 static CARS source catalogue query CARS_sources A simple search interface for sources extracted by CARS. This data is also exposed to \RSTservicelink{__system__/adql/query/form}{ADQL} to allow more advanced queries. /cars/q/prod/form Current data coverage:

]]> 36 -6 0.01 _r raj2000 dej2000 sgclass magAuto magErrAuto magaprU magaprG magaprR magaprI magaprZ fwhm yield T.a(href="/cars/q/prod/form?__nevow_form__=genForm" "&fieldKey=%s&_SET=3"%data)[ "Source products"] CARS image cutouts CARS_cutout 0.01 /cars/q/prod/form Cutout 36 -6 0.05 0.05 /browse/cars/q CARS image cutouts', '

Metadata for CARS') ]]> /getproduct/cars/data/catalogues/W1p1p1/ W1p1p1_izrgu.V1.7A.masks.obj.jpg self.assertHasStrings("JFIF", "22222222222222222222222") # it would be good if we could remove the cache generated # so we don't just test locating the preview cache. but # that'd need some special trick as that's server side # But just in case we're running on the box tested: try: os.unlink(os.path.join(base.getConfig("web", "previewCache"), getFlatName(re.sub(".*getproduct/", "", self.url.httpURL)))) except os.error: pass prod/form W1p1p1", 'title="Mask preview as JPEG"', "/cars/data/images/W1p1p1/W1p1p1_g.V1.7A.swarp.cut.weight.fits.gz", "Download 54.0MiB", 'onmouseover="insertPreview(this, null)"', "W1p1p1_izrgu.V1.7A.masks.obj.jpg") ]]> cat/scs.xml row = self.getFirstVOTableRow() self.assertAlmostEqual(row["magaprG"], 24.427299499512) self.assertEqual(row["carsid"], 'W1m0p1:154') self.assertEqual(row["SeqNr"], 154) self.assertEqual(row["magisoR"], None) self.assertEqual(row["magaprErrR"], None) cat/form self.assertHasStrings( "$(renderTemplate('aladinScriptWindow', {'RA': 35.99848722, 'DEC': -5.993341385})))" ) dl/dlmeta self.assertHasStrings("#weight", "cars/q/dl/static/" "images/W1m0p1/W1m0p1_g.V1.7A.swarp.cut.weight.fits.gz", "#preview-image", "/cars/q/dl/static/" "catalogues/W1m0p1/W1m0p1_irg.V1.7A.truecol.jpg", 'value="34.5', "-6.066", "0.76") dl/dlget self.assertHasStrings( "NAXIS1 = 39", b"\\x3d\\x40\\xb4\\xc1\\xbc\\x5b")