Multi-Instrument View of the Enceladus Torus Following H2O from Enceladus: We see it in the plumes As a ‘torus’ at Enceladus orbit As OH following dissociation As O As plasma (H2O+, O+, H3O+, OH+) Cassidy et al. UVIS occultations Herschel HIFI HST, 90s UVIS, 2004, 2007 CAPS Herschel Observations of the Enceladus H2O cloud Paul Hartogh, Emmanuel Lellouch and others observed the Enceladus H2O cloud in the sub-mm by the Herschel s/c. This nicely complements HST and Cassini data, particularly UVIS and INMS Hartogh et al., 2011, A&A We have been able to independently estimate the Enceladus H2O source rate. Like UVIS occs, they measure a column density from which a source rate is derived. Cassidy et al. 1999: H2O emission from Saturn’s atmosphere 556.935 GHz SWAS telescope 2009: new spacecraft sees big absorption on top of the H2O emission Herschel telescope HIFI instrument SWAS telescope (also sensitive to the H2O line) didn’t see H2O torus. SWAS/Earth direction Herschel/Earth direction Cassidy et al. Detailed Look Emmanuel Lellouch compared the data with a simple model torus: 2.5 RS wide with adjustable location Variable scale height, density ~ exp(-z/H) Speed distribution for Doppler shift: H2O molecules on circular orbits + speed dispersion Cassidy et al. Torus position: Cassidy et al. Torus scale height: Torus ‘temperature’ (speed dispersion): Cassidy et al. I’ve been modeling the neutral cloud and comparing the results with HST observations of OH (90’s) and UVIS observations of O (pre-SOI) Enceladus We used this model to compare Herschel obs. and get the H2O source rate. How active are the plumes, does their output vary? Conclusion from that: need neutral/neutral collisions to help spread cloud Conclusion: our one free parameter is the H2O source rate. We found that we need about 1x1028 H2O s-1. 10 To compare with Herschel obs., I simulated the Herschel field of view: Herschel/Earth direction Model output: H2O column (cm-2) in front of Saturn for Herschel observation geometry Cassidy et al. Herschel data. I adjusted the H2O source rate until it matched he observation. I lowered it rom 1.0x1028 to 0.85x1028 One of 3 observation sets 1670 GHz H2O emission and absorption PSF Again, H2O/H2O collisions drive the cloud shape (and temperature). Without collisions (below), model does not match observations. Observation summary 1990s (OH obs by HST) 2004, 2007 (UVIS obs of atomic O) ~1028 H2O/sec Estimates by Shemansky/Melin, Cassidy/Johnson, Richardon/Jurac/Johnson _________________________________________________ Herschel observations June, 2009 July, 2009 June, 2010 Dec, 2010 (tentative) July, 2011 January, 2012 8.5E27 H2O/s = 255kg/s Estimates by Cassidy/Johnson model 7E27 H2O/sec =210 kg/s still need to compare with model Those source rates inferred from large-scale cloud observations. Up close, UVIS occs also show fairly constant source rate. Inferences from INMS and MAG flyby data and other instruments suggest much larger variability. Other results from Herschel data •Herschel-inferred scale height ~0.4 RS matches model, though it does not match INMS inferred scale height (Perry et al., 2009) •Cloud is ‘hot’: has a velocity dispersion of ~2-2.3 km/s (~30004000 K) •But cloud is also ‘cold’ in terms of sub-mm emission (~16 K) Model with H2O/H2O collisions predicts the ‘hot’ part. But collisions are so rare (~1/day) that the molecules don’t emit blackbody radiation. Talk about non-LTE! •Model predicts that H2O from Enceladus hits Saturn—enough to account for upper-atmosphere H2O. Hartogh et al. (2011): Model predicted H2O/OH/O flux onto Saturn, which matched the flux necessary to explain stratospheric H2O (flux required by Moses et al., Ollivier et al., 2000) “ESA’s Infrared Space Observatory found the water vapour in Saturn’s atmosphere. Then NASA/ESA’s Cassini/Huygens mission found the jets of Enceladus. Now Herschel has shown how to fit all these observations together” -Göran Pilbratt, Herschel Project Scientist Model predicts that H2O/OH/O hits Saturn’s equator, is there more stratospheric H2O tat the equator? Preliminary results say yes (Thiebault Cavalie) using H2O emissions unaffected by torus absorption Upcoming •Herschel has looked for NH3 but did not detect any. We are working to turn this upper limit on line-of-sight column density into an upper limit on the NH3 source rate to compare with INMS detection of ~1%. •We were granted one more observation in late June. This time we will look away from Saturn’s disk to look for emission from the H2O torus rather than absorption at 1670 & 1113 GHz. Determining the Rate that Mass Flows Away from the Planet • Assume source of plasma is located inside – say, in a ring around Enceladus’ orbit and outwards – 4 to 7 Rs • Total mass of plasma produced = dM/dt ~10s kg/s Flux out of the cylinder = dM/dt=Vr 2p R p1/2 H No H R No = N(R) x exp (z/H)2 where N(R) is measured density profile H = measured scale height dM/dt = rate of mass production in volume (units=kg/s) Vr(R) = radial transport rate - derived by assuming dM/dt Determining the Rate that Mass Flows Away from the Planet Flux out of the cylinder = dM/dt=Vr 2p R p1/2 H No H R No = N(R) x exp (z/H)2 where N(R) is measured density profile H = measured scale height dM/dt = rate of mass production in volume (units=kg/s) Vr(R) = radial transport rate - derived by assuming dM/dt OR 2p3/2 R H N(R) exp (z/H)2 = dM/dt / Vr(R) We plot this from CAPS data • Next we look at some CAPS data • These are fits to ion spectra done by Rob Wilson • Error bars are uncertainties in individual fits. • Yes, there are some bad fits – needs further sorting – NOT numerical moments from Michelle Thomsen 2005 2006 2007 2008 2009 3 OH+ R*H*n*exp((Z/H)2) 10 Black = fiducial lines – same for all plots 2 10 1 10 0 H+ R*H*n*exp((Z/H)2) 103 10 2 10 1 10 0 10 4 6 8 10 12 R (RS) 14 16 18 20 2005 2006 2007 2008 2009 3 OH+ R*H*n*exp((Z/H)2) 10 2004 2 10 1 10 0 H+ R*H*n*exp((Z/H)2) 103 10 2 10 1 10 0 10 4 6 8 10 12 R (R ) S 14 16 18 20 2005 2006 2007 2008 2009 3 OH+ R*H*n*exp((Z/H)2) 10 2005 2 10 1 10 0 H+ R*H*n*exp((Z/H)2) 103 10 2 10 1 10 0 10 4 6 8 10 12 R (R ) S 14 16 18 20 2005 2006 2007 2008 2009 3 OH+ R*H*n*exp((Z/H)2) 10 2006 2 10 1 10 0 H+ R*H*n*exp((Z/H)2) 103 10 2 10 1 10 0 10 4 6 8 10 12 R (R ) S 14 16 18 20 2005 2006 2007 2008 2009 3 OH+ R*H*n*exp((Z/H)2) 10 2007 2 10 1 10 0 H+ R*H*n*exp((Z/H)2) 103 10 2 10 1 10 0 10 4 6 8 10 12 R (R ) S 14 16 18 20 2005 2006 2007 2008 2009 3 OH+ R*H*n*exp((Z/H)2) 10 2008 2 10 1 10 0 H+ R*H*n*exp((Z/H)2) 103 10 2 10 1 10 0 10 4 6 8 10 12 R (R ) S 14 16 18 20 2005 2006 2007 2008 2009 3 OH+ R*H*n*exp((Z/H)2) 10 2009 2 10 1 10 Something wacky here…. 0 H+ R*H*n*exp((Z/H)2) 103 10 2 10 1 10 0 10 4 6 8 10 12 R (R ) S 14 16 18 20 2p3/2 R H N(R) exp (z/H)2 = dM/dt / Vr(R) We plot this from CAPS data So – if the plotted quantity does not very much with time then • dM/dt and Vr are pretty constant with time • They both vary together with time Variability of plasma from CAPS Cassidy et al. Extra Cassidy et al. Comparing model and data Emmanuel developed his own relatively simple model of the torus before comparing with our Monte Carlo cloud model. It is a torus of H2O, 2 RS wide. He varied the diameter, density, scale height and velocity dispersion to match the data (see plots on later slides). Included absorption cross sections and Doppler shift to calculate absorption line shapes, which required a separate code to calculate molecular excitation levels under the influence of solar and Saturnian blackbody radiation. These were compared with my model output. His derived velocity dispersion (2.0-2.3 km/s, 3000-4000K) agrees with my model. We went a step further with H2O column density: I sent him line-of-sight densities, which he convolved with the Herschel PSF to compare directly with data. He still used the fitted velocity dispersion, though. It remains to calculate the line profiles directly from my model output. Cassidy et al. Cassidy et al. North • SS Center South Cassidy et al. Extra: slides on cloud spreading Cassidy et al. Water vapor is ejected from Enceladus far too slowly to explain its breadth: Molecules leave Enceladus on nearly circular orbits: we found that a combination of spreading processes could reproduce the observations fairly well: •Neutral/neutral collisions •Ion/neutral collisions •Dissociation (by electrons and UV photons) (this produces OH and O from the H2O) Each of these adds or subtracts speed to orbiting molecules: Cassidy et al. Cassidy et al. Cassidy et al. Line of sight Column Density (cm-2) Line of Sight O Column Density (UVIS observations of fluorescent O) Data RS Cassidy et al. Model