N. Mandolesi et al.: The <strong>Planck</strong>-LFI programme– Hemispherical asymmetries. It is found that the power comingseparately from the two hemispheres (defined by theecliptic plane) is quite asymmetric, especially at low l(Eriksen et al. 2004a,b; Hansen et al. 2004).– Unlikely alignments of low multipoles. An unlikely (fora statistically isotropic random field) alignment of thequadrupole and the octupole (Tegmark et al. 2003; Copiet al. 2004; Schwarz et al. 2004; Land & Magueijo 2005).Both quadrupole and octupole align with the CMB dipole(Copi et al. 2007). Other unlikely alignments are describedin Abramo et al. (2006), Wiaux et al. (2006)andVielva et al.(2007).– Cold Spot. Vielva et al. (2004) detectedalocalizednon-Gaussian behaviour in the southern hemisphere using awavelet analysis technique (see also Cruz et al. 2005).It is still unknown whether these anomalies are indicative of new(and fundamental) physics beyond the concordance model orwhether they are simply the residuals of imperfectly removedastrophysical foreground or systematic effects. <strong>Planck</strong> data willprovide a valuable contribution, not only in refining the cosmologicalparameters of the standard cosmological model but alsoin solving the aforementioned puzzles, because of the superiorforeground removal and control of systematic effects, as well as<strong>Planck</strong>’s different scan strategy and wider frequency range comparedwith WMAP. In particular, the LFI 70 GHz channel willbe crucial, since, as shown by WMAP, the foreground on largeangular scales reaches a minimum in the V band.2.2. AstrophysicsThe accuracy of the extraction of the CMB anisotropy patternfrom <strong>Planck</strong> maps largely relies, particularly for polarisation, onthe quality of the separation of the background signal of cosmologicalorigin from the various foreground sources of astrophysicalorigin that are superimposed on the maps (see alsoSect. 2.3). The scientific case for <strong>Planck</strong> was presented byThe <strong>Planck</strong> Collaboration (2006) andforeseesthefullexploitationof the multifrequency data. This is aimed not only at the extractionof the CMB, but also at the separation and study of eachastrophysical component, using <strong>Planck</strong> data alone or in combinationwith other data-sets. This section provides an update ofthe scientific case, with particular emphasis on the contributionof the LFI to the science goals.2.2.1. Galactic astrophysics<strong>Planck</strong> will carry out an all-sky survey of the fluctuations inGalactic emission at its nine frequency bands. The HFI channelsat ν ≥ 100 GHz will provide the main improvement with respectto COBE characterizing the large-scale Galactic dust emission6 ,whichisstillpoorlyknown,particularlyinpolarisation.However, since Galactic dust emission still dominates over freefreeand synchrotron at 70 GHz (see e.g. Gold et al. 2009, andreferences therein), LFI will provide crucial information aboutthe low frequency tail of this component. The LFI frequencychannels, in particular those at 30 GHz and 44 GHz, will berelevant to the study of the diffuse, significantly polarised synchrotronemission and the almost unpolarised free-free emission.6 At far-IR frequencies significantly higher than those coveredby <strong>Planck</strong>, much information comes from IRAS (see e.g.,Miville-Deschênes & Lagache 2005, forarecentversionofthemaps).Results from WMAP’s lowest frequency channels inferredan additional contribution, probably correlated withdust (see Dobler et al. 2009, andreferencestherein).Whilea model with complex synchrotron emission pattern andspectral index cannot be excluded, several interpretations of microwave(see e.g. Hildebrandt et al. 2007; Bonaldi et al. 2007)and radio (La Porta et al. 2008) data,andinparticulartheARCADE 2 results (Kogut et al. 2009), seem to support theidentification of this anomalous component as spinning dust(Draine & Lazarian 1998; Lazarian & Finkbeiner 2003).LFI data, at 30 GHz in particular, will shed new light on thisintriguing question.Another interesting component that will be studied by<strong>Planck</strong> data is the so-called “haze” emission in the inner Galacticregion, possibly generated by synchrotron emission from relativisticelectrons and positrons produced in the annihilations ofdark matter particles (see e.g., Hooper et al. 2007; Cumberbatchet al. 2009; Hooper et al. 2008,andreferencestherein).Furthermore, the full interpretation of the Galactic diffuseemissions in <strong>Planck</strong> maps will benefit from a joint analysiswith both radio and far-IR data. For instance, PILOT(Bernard et al. 2007)willimproveonArcheopsresults(Ponthieuet al. 2005), measuring polarised dust emission at frequencieshigher than 353 GHz, and BLAST-Pol (Marsden et al. 2008) ateven higher frequencies. All-sky surveys at 1.4 GHz (see e.g.,Burigana et al. 2006, andreferencestherein)andintherangeof a few GHz to 15 GHz will complement the low frequencyside (see e.g., PGMS, Haverkorn et al. 2007; C-BASS,Pearson&C-BASScollaboration2007;QUIJOTE,Rubino-Martin et al.2008;andGEM,Barbosa et al. 2006)allowinganaccuratemultifrequencyanalysis of the depolarisation phenomena at low andintermediate Galactic latitudes. Detailed knowledge of the underlyingnoise properties in <strong>Planck</strong> maps will allow one to measurethe correlation characteristics of the diffuse component,greatly improving physical models of the interstellar medium(ISM). The ultimate goal of these studies is the development of aconsistent Galactic 3D model, which includes the various componentsof the ISM, and large and small scale magnetic fields(see e.g., Waelkens et al. 2009), and turbulence phenomena (Cho&Lazarian2003).While having moderate resolution and being limited in fluxto a few hundred mJy, <strong>Planck</strong> will also provide multifrequency,all-sky information about discrete Galactic sources. This will includeobjects from the early stages of massive stars to the latestages of stellar evolution (Umana et al. 2006), from HII regionsto dust clouds (Pelkonen et al. 2007). Models for both the enrichmentof the ISM and the interplay between stellar formationand ambient physical properties will be also tested.<strong>Planck</strong> will also have a chance to observe some Galacticmicro-blazars (such as e.g., Cygnus X-3) in a flare phase and performmultifrequency monitoring of these events on timescalesfrom hours to weeks. A quick detection software (QDS) systemwas developed by a Finnish group in collaboration with LFI DPC(Aatrokoski et al. 2010). This will be used to identify of sourceflux variation, in <strong>Planck</strong> time ordered data.Finally, <strong>Planck</strong> will provide unique information for modellingthe emission from moving objects and diffuse interplanetarydust in the Solar System. The mm and sub-mm emissionfrom planets and up to 100 asteroids will also be studied(Cremonese et al. 2002; Maris & Burigana 2009). The zodiacallight emission will also be measured to great accuracy, free fromresidual Galactic contamination (Maris et al. 2006b).Page 7 of 24
A&A 520, A3 (2010)Fig. 6. Integral counts of different radio source populations at 70 GHz,predicted by the de Zotti et al. (2005) model: flat-spectrum radioquasars; BL Lac objects; and steep-spectrum sources. The vertical dottedlines show the estimated completeness limits for <strong>Planck</strong> and WMAP(61 GHz) surveys.2.2.2. Extragalactic astrophysicsThe higher sensitivity and angular resolution of LFI comparedto WMAP will allow us to obtain substantially richer samplesof extragalactic sources at mm wavelengths. Applying a newmulti-frequency linear filtering technique to realistic LFI simulationsof the sky, Herranz et al. (2009) detected1600,1550,and 1000 sources with 95% reliability at 30, 44, and 70 GHz,respectively, over about 85% of the sky. The 95% completenessfluxes are 540, 340, and 270 mJy at 30, 44, and 70 GHz,respectively. For comparison, the total number of |b| >5 ◦ sources detected by Massardi et al. (2009) at ≥5σ inWMAP5 maps at 33, 41, and 61 GHz (including several possiblyspurious objects), are 307, 301, and 161, respectively; thecorresponding detection limits increase from ≃1 Jyat23GHz,to ≃2 Jyat61GHz.ThenumberofdetectionsreportedbyWright et al. (2009)islowerbyabout20%.As illustrated in Fig. 6,thefarlargersourcesampleexpectedfrom <strong>Planck</strong> will allow us to obtain good statistics for differentsubpopulations of sources, some of which are not (or onlypoorly) represented in the WMAP sample. The dominant radiopopulation at LFI frequencies consists of flat-spectrum radioquasars, for which LFI will provide a bright sample of ≥1000 objects,well suited to cover the parameter space of current physicalmodels. Interestingly, the expectednumbersofblazarsandBL Lac objects detectable by LFI aresimilartothoseexpectedfrom the Fermi Gamma-ray Space Telescope (formerly GLAST;Abdo 2009; Atwood et al. 2009). It is likely that the LFI andthe Fermi blazar samples will have a substantial overlap, makingit possible to more carefully define the relationships betweenradio and gamma-ray properties of these sources than has beenpossible so far. The analysis of spectral properties of the ATCA20 GHz bright sample indicates that quite a few high-frequencyselected sources have peaked spectra; most of them are likely tobe relatively old, beamed objects (blazars), whose radio emissionis dominated by a single knot in the jet caught in a flaringphase. The <strong>Planck</strong> sample will allow us to obtain key informationabout the incidence and timescales of these flaring episodes,the distribution of their peak frequencies, and therefore the propagationof the flare along the jet. A small fraction of sourcesexhibiting high frequency peaks may be extreme high frequencypeakers (Dallacasa et al. 2000), understood to be newly born radiosources (ages as low as thousand years). Obviously, the discoveryof just a few of these sources would be extremely importantfor sheding light on the poorly understood mechanisms thattrigger the radio activity of Galactic cores.WMAP has detected polarised fluxes at ≥4σ in two or morebands for only five extragalactic sources (Wright et al. 2009).LFI will substantially improve on this, providing polarisationmeasurements for tens of sources, thus allowing us to obtainthe first statistically meaningful unbiased sample for polarisationstudies at mm wavelengths. It should be noted that <strong>Planck</strong> polarisationmeasurements will not be confusion-limited, as in thecase of total flux, but noise-limited. Thus the detection limit forpolarised flux in <strong>Planck</strong>-LFI channels will be ≃200−300 mJy,i.e., lower than for the total flux.As mentioned above, the astrophysics programme of <strong>Planck</strong>is much wider than that achievable with LFI alone, both becausethe specific role of HFI and, in particular, the great scientificsynergy between the two instruments. One noteworthy exampleis the <strong>Planck</strong> contribution to the astrophysics of clusters. <strong>Planck</strong>will detect ≈10 3 galaxy clusters out to redshifts of order unity bymeans of their thermal Sunyaev-Zel’dovich effect (Leach et al.2008; Bartlett et al. 2008). This sample will be extremely importantfor understanding both the formation of large-scale structureand the physics of the intracluster medium. To performthese measurements, a broad spectral coverage, i.e., the combinationof data from both <strong>Planck</strong> instruments (LFI and HFI), isakeyasset.Thiscombination,supplementedbyground-based,follow-up observations planned by the <strong>Planck</strong> team, will allow,in particular, accurate correctionforthecontaminationbyradiosources (mostly due to the high quality of the LFI channels) anddusty galaxies (HFI channels), either associated with the clustersor in their foreground/background (Lin et al. 2009).2.3. Scientific data analysisThe data analysis process for a high precision experiment such asLFI must be capable of reducing the data volume by several ordersof magnitude with minimal loss of information. The sheeringsize of the data set, the high sensitivity required to achievethe science goals, and the significance of the statistical and systematicsources of error all conspire to make data analysis a farfrom trivial task.The map-making layer provides a lossless compression byseveral orders of magnitude, projecting the data set from thetime domain to the discretized celestial sphere (Janssen & Gulkis1992; Lineweaver et al. 1994; Wright et al. 1996; Tegmark1997). Furthermore, timeline-specific instrumental effects thatare not scan-synchronous are reduced in magnitude when projectedfrom time to pixel space (see e.g., Mennella et al. 2002)and, in general, the analysis of maps provides a more convenientmeans of assessing the level of systematics compared to timelineanalysis.Several map-making algorithms have been proposed to producesky maps in total intensity (Stokes I) and linear polarisation(Stokes Q and U)fromtheLFItimelines.So-called“destriping”algorithms have historically first been applied. These take advantageof the details of the <strong>Planck</strong> scanning strategy to suppresscorrelated noise (Maino et al. 1999). Although computationallyefficient, these methods do not, in general, yield a minimumvariance map. To overcome this problem, minimum-variancemap-making algorithms have been devised and implementedspecifically for LFI (Natoli et al. 2001; de Gasperis et al. 2005).Page 8 of 24
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