source,target This depends on the present value of the cosmological density parameter (cf., This depends on the present value of the cosmological density parameter (cf. " ©, = 1 for the de Sitter universe).", $\Omega_o$ = 1 for the Einstein-de Sitter universe). " For LRAS galaxies. A5,~401005 Ape. therefore comparing this with the one for the LATSS sample. suggests a dependence between the maximum effective depth of the sample and the convergence radius. ic."," For IRAS galaxies, $R_{conv} \sim 40-100 h^{-1} Mpc$ , therefore comparing this with the one for the EMSS sample, suggests a dependence between the maximum effective depth of the sample and the convergence radius, ie." the deeper the sample (in distances). the larger the value of Reaves," the deeper the sample (in distances), the larger the value of $R_{conv}$." Jo further compare the dipole moments of the EEMSS AGNs with that of the IRAS 1.2 Jy. galaxies. we have selected: a sample of 352 LRAS galaxies with the same selection Function as the IE£MSS sample (ie.," To further compare the dipole moments of the EMSS AGNs with that of the IRAS 1.2 Jy galaxies, we have selected a sample of 352 IRAS galaxies with the same selection function as the EMSS sample (ie." the same redshift distribution) and. plotted. the cumulative dipole. growth curves for both saniples. as shown in figure 5.," the same redshift distribution) and plotted the cumulative dipole growth curves for both samples, as shown in figure 5." In these analvsis. we have plotted both curves with bias parameter of 1.0.," In these analysis, we have plotted both curves with bias parameter of 1.0." As can be seen at almost all distances. the dipole moment of INS. galaxies. dominates that of the IE2MSS.," As can be seen at almost all distances, the dipole moment of IRAS galaxies dominates that of the EMSS." H0 appears that LRAS galaxies have stronger contributions to the motion of the LG than the IEMSS AGNs., It appears that IRAS galaxies have stronger contributions to the motion of the LG than the EMSS AGNs. 1n other words. LRAS ealaxics are more clustered than the EMSS AGNs at scales of <2005.+ Mpe (this is compared to the underlying mass distribution). which is consistent with the values of the bias parameter (assuming the Iinstein-de Sitter universe)," In other words, IRAS galaxies are more clustered than the EMSS AGNs at scales of $< 200 h^{-1}$ Mpc (this is compared to the underlying mass distribution), which is consistent with the values of the bias parameter (assuming the Einstein-de Sitter universe)." Η the gas density and. total mass profiles of the galaxy can be represented. bv simple power laws. dt is straightforward to evaluate the right-hand side of equation (5).,"If the gas density and total mass profiles of the galaxy can be represented by simple power laws, it is straightforward to evaluate the right-hand side of equation (5)." In the case of a singular isothermal sphere. for example. where Perr)oxr7 and Mua)xor (where Alwar) is thefofaf mass within radius r). we find ος(10).=CALs(11)(287) and X07)RpUT) ," In the case of a singular isothermal sphere, for example, where $\rho_{\rm gas}(r) \propto r^{-2}$ and $M_{\rm gal}(r) \propto r$ (where $M_{\rm gal}(r)$ is the mass within radius $r$ ), we find $g_{\rm max}(R) = G M_{\rm gal}(R) / (2 R^2)$ and $\Sigma_{\rm gas}(R) = \pi \rho_{\rm gas}(R) R$." his Leads to the following stripping condition For more general gas density and total mass profiles. the condition for ram pressure stripping may be expressed where à is a geometric constant of order unity which depends on the precise shape of the gas density and total mass profiles of the galaxy.," This leads to the following stripping condition For more general gas density and total mass profiles, the condition for ram pressure stripping may be expressed as where $\alpha$ is a geometric constant of order unity which depends on the precise shape of the gas density and total mass profiles of the galaxy." We note that equation (7) is similar to the analytic stripping conditions derived previously by Gisler (1976). and. Sarazin. (1979). (among others) for elliptical galaxies., We note that equation (7) is similar to the analytic stripping conditions derived previously by Gisler (1976) and Sarazin (1979) (among others) for elliptical galaxies. " Equation (7) implies that all the gas beyond. the 3D radius Revi, where the ram pressure exceeds the eravitational restoring force per unit area (which we will refer to as the stripping radius) will be stripped.", Equation (7) implies that all the gas beyond the 3D radius $R_{\rm strip}$ where the ram pressure exceeds the gravitational restoring force per unit area (which we will refer to as the stripping radius) will be stripped. By assumption. the properties of both the gas and dark matter within the stripping radius are unmocified bv the stripping.," By assumption, the properties of both the gas and dark matter within the stripping radius are unmodified by the stripping." The Left-hand side of (7) makes it clear that the ram pressure is. in general. a function of time (ie.. for non-circular orbits).," The left-hand side of (7) makes it clear that the ram pressure is, in general, a function of time (i.e., for non-circular orbits)." Solow. we use the idealised: uniform. medium runs to test this simple analytic model.," Below, we use the idealised uniform medium runs to test this simple analytic model." However. before doing so it is worth briefly. discussing some of the assumptions of this simple model and their validity.," However, before doing so it is worth briefly discussing some of the assumptions of this simple model and their validity." Firstlv. the mocdel neglects WH and ICE instability stripping but. as we argued in 82.2. we do not expect this to be an important omission.," Firstly, the model neglects KH and RT instability stripping but, as we argued in 2.2, we do not expect this to be an important omission." Perhaps of more concern is that. by assuming that the properties of the system. within the stripping radius do not change with time. the model implicitly. neglects environmental. effects such as tidal stripping and gravitational shock heating.," Perhaps of more concern is that, by assuming that the properties of the system within the stripping radius do not change with time, the model implicitly neglects environmental effects such as tidal stripping and gravitational shock heating." In Appendix D. we show. using a simple argument. that one expects ram pressure stripping to be more ellicient. than idal stripping for cases where the mass of the galaxy is less han about of the mass of the group.," In Appendix B, we show, using a simple argument, that one expects ram pressure stripping to be more efficient than tidal stripping for cases where the mass of the galaxy is less than about of the mass of the group." In other words. or galaxies with masses of less than about of the group muss. tidal stripping is not expected to substantially moclify he structure of the galaxy. within its stripping radius.," In other words, for galaxies with masses of less than about of the group mass, tidal stripping is not expected to substantially modify the structure of the galaxy within its stripping radius." Our 2-svstem runs involve only svstems with mass ratios z 10:1., Our 2-system runs involve only systems with mass ratios $\ge$ 10:1. The neglect of shock heating would. naively appear o be a more serious omission. since the commonlv-held xeture of structure formation is that eas accreted by a massive system is shocked at the virial radius up to the virial temperature of the massive svstem.," The neglect of shock heating would naively appear to be a more serious omission, since the commonly-held picture of structure formation is that gas accreted by a massive system is shocked at the virial radius up to the virial temperature of the massive system." Thus. one might expect the hot gas halo of the galaxy to be quickly shock heated and become. unbound.," Thus, one might expect the hot gas halo of the galaxy to be quickly shock heated and become unbound." However. high. resolution simulations (both cosmological and idealised) do not confirm this picture.," However, high resolution simulations (both cosmological and idealised) do not confirm this picture." " In particular. if the material being accreted is in smalldense ""Iumps? (e.g... low-mass virialised svstenis. as in the present case). it can penetrate all the way to the core of the massive svstem without being significantly. shocked (e.g. Motl et 22004: Alurray Lin 2004: Poole ct 22006: ALOT: Dekel Dirnboim 2007)."," In particular, if the material being accreted is in small dense “lumps” (e.g., low-mass virialised systems, as in the present case), it can penetrate all the way to the core of the massive system without being significantly shocked (e.g., Motl et 2004; Murray Lin 2004; Poole et 2006; M07; Dekel Birnboim 2007)." In fact. most of the interaction energv is thermalised. in the ambient medium of the more massive svstem (the ICM. in this case). while he accreted. gas sinks to bottom of the potential well (see ALOT For a detailed discussion).," In fact, most of the interaction energy is thermalised in the ambient medium of the more massive system (the ICM, in this case), while the accreted gas sinks to bottom of the potential well (see M07 for a detailed discussion)." However. MOT found that the raction of the total energy that is thermalised in the gas of he less massive svstem (the galaxy. in this case) increases almost linearly with the ratio of the mass of the less massive system to the total mass of both systems.," However, M07 found that the fraction of the total energy that is thermalised in the gas of the less massive system (the galaxy, in this case) increases almost linearly with the ratio of the mass of the less massive system to the total mass of both systems." Therefore. shock wating expected to become important. for cases where he mass of the galaxy is comparable to the mass of the group.," Therefore, shock heating expected to become important for cases where the mass of the galaxy is comparable to the mass of the group." Our 2-svstem runs. however. only involve. galaxies with masses lower than of the mass of the group.," Our 2-system runs, however, only involve galaxies with masses lower than of the mass of the group." We now explore the rani pressure stripping of galaxies as hey move through a uniform density gaseous medium., We now explore the ram pressure stripping of galaxies as they move through a uniform density gaseous medium. For he uniform medium. we select. densities that are typical of the group/cluster environment.," For the uniform medium, we select densities that are typical of the group/cluster environment." The temperature of the medium) is set such that its pressure equals that of the 100 halo of the galaxy at its outer edge (ic. the gaseous jio would. be static if it were not moving with respect to he uniform medium).," The temperature of the medium is set such that its pressure equals that of the hot halo of the galaxy at its outer edge (i.e., the gaseous halo would be static if it were not moving with respect to the uniform medium)." The galaxies are assigned velocities vpical of svstems orbiting in genuine groups and. clusters (i.c.. comparable to the circular. velocity of the group or cluster).," The galaxies are assigned velocities typical of systems orbiting in genuine groups and clusters (i.e., comparable to the circular velocity of the group or cluster)." In 44 we plot the bound mass of gas as a function of time for à small selection of the uniform. medium runs we have performed: ancl compare this with our. proposed analytic model., In 4 we plot the bound mass of gas as a function of time for a small selection of the uniform medium runs we have performed and compare this with our proposed analytic model. We focus first on the AZ(/) curves from the simulations (solid. red. curves)., We focus first on the $M(t)$ curves from the simulations (solid red curves). Firstly. the A(/) curves in," Firstly, the $M(t)$ curves in" "study, which suggest absorption to be the main factor, are being published separately (Wilkes 22005).","study, which suggest absorption to be the main factor, are being published separately (Wilkes 2005)." " Meanwhile, we report here the unusual X-ray spectrum of one AGN in the subset, 234449+1221M, a Type 1 QSO that exhibits an absorbed power law continuum together with a soft excess."," Meanwhile, we report here the unusual X-ray spectrum of one AGN in the subset, M, a Type 1 QSO that exhibits an absorbed power law continuum together with a soft excess." The suppression of the continuum below 1 keV allows the form of the soft excess to be resolved with unusual clarity., The suppression of the continuum below $\sim$ 1 keV allows the form of the soft excess to be resolved with unusual clarity. 234449--1221M (hereafter 2M23) is optically classified as a Type 1 QSO at a redshift of z — 0.199 (Cutri 22003)., M (hereafter 2M23) is optically classified as a Type 1 QSO at a redshift of z = 0.199 (Cutri 2003). It was selected as a ‘red’ AGN from the 2 MASS catalogue (J-Ks=2.00+0.06) and found to have a linear broad band polarisation of ~1 bby Smith et al (2002)., It was selected as a `red' AGN from the 2 MASS catalogue $_{s}$ $\pm$ 0.06) and found to have a linear broad band polarisation of $\sim$ 1 by Smith et al (2002). It was observed by oon 2003 July 3 (rev., It was observed by on 2003 July 3 (rev. " 653) for 7885 s on target, with X-ray data from the EPIC pn (Strüdder al.2001) and MOS1 and MOS2 (Turner 22001) cameras providing moderate resolution spectra over the energy band ~0.2-10 keV. Each camera was set in full-frame mode, with the medium thickness filter to remove any optical/UV light from the target source."," 653) for 7885 s on target, with X-ray data from the EPIC pn (Strüdder 2001) and MOS1 and MOS2 (Turner 2001) cameras providing moderate resolution spectra over the energy band $\sim$ 0.2–10 keV. Each camera was set in full-frame mode, with the medium thickness filter to remove any optical/UV light from the target source." " The particle background was found to be high during parts of the observation, and those data have been excluded from our spectral analysis."," The particle background was found to be high during parts of the observation, and those data have been excluded from our spectral analysis." " Using the recommended maximum background rates of 1 s! (pn camera) and 0.35 5 (MOS camera) the effective exposure times were thereby reduced to 4444 s (pn), 6321 (MOS1) and 6844 s (MOS2)."," Using the recommended maximum background rates of 1 $^{-1}$ (pn camera) and 0.35 $^{-1}$ (MOS camera) the effective exposure times were thereby reduced to 4444 s (pn), 6321 (MOS1) and 6844 s (MOS2)." 'The X-ray data were screened with the XMM SAS v6.1 software and events corresponding to patterns 0-4 (single and double pixel events) selected for the pn data and patterns 0-12 for MOS1 and MOS2., The X-ray data were screened with the XMM SAS v6.1 software and events corresponding to patterns 0-4 (single and double pixel events) selected for the pn data and patterns 0-12 for MOS1 and MOS2. A low energy cut of 200 eV was applied to all X-ray data and known hot or bad pixels were removed., A low energy cut of 200 eV was applied to all X-ray data and known hot or bad pixels were removed. " Source counts were obtained from a circular region of rradius centred on the target source, with the background being taken from a similar region offset from, but close to, the source."," Source counts were obtained from a circular region of radius centred on the target source, with the background being taken from a similar region offset from, but close to, the source." " Individual EPIC spectra were binned to a minimum of 20 counts per bin to facilitate use of the x? minimalisation technique in spectral fitting, which was based on the Xspec package (Arnaud 1996)."," Individual EPIC spectra were binned to a minimum of 20 counts per bin to facilitate use of the $\chi^2$ minimalisation technique in spectral fitting, which was based on the Xspec package (Arnaud 1996)." All fits included absorption due to the line-of-sight Galactic column of Ng —4.66x107? cm~?., All fits included absorption due to the line-of-sight Galactic column of $N_{H}$ $\times 10^{20}$ $^{-2}$. Errors are quoted at the confidence level (Ax?—2.7 for one interesting parameter)., Errors are quoted at the confidence level $\Delta \chi^{2}=2.7$ for one interesting parameter). Given the limited number of background-subtracted counts (844 pn and 790 MOS) spectral fitting was carried out on the integrated data sets., Given the limited number of background-subtracted counts (844 pn and 790 MOS) spectral fitting was carried out on the integrated data sets. " Guided by the data (figure 1) we first fitted a power law above 2 keV, with a common spectral index, but untied normalisations, for the 3 EPIC cameras, obtaining a good fit (x?=24 for 25 degrees of freedom) for a rather flat (hard) photon index of [=1.65+0.2."," Guided by the data (figure 1) we first fitted a power law above 2 keV, with a common spectral index, but untied normalisations, for the 3 EPIC cameras, obtaining a good fit $\chi^2$ =24 for 25 degrees of freedom) for a rather flat (hard) photon index of $\Gamma$ $\pm$ 0.2." Extrapolating this fit to 0.2 keV showed the spectrum to be complex at low energies (figure 2) with evidence of additional (intrinsic) absorption and (possibly) a soft excess yielding a very poor overall fit (y?=228/78)., Extrapolating this fit to 0.2 keV showed the spectrum to be complex at low energies (figure 2) with evidence of additional (intrinsic) absorption and (possibly) a soft excess yielding a very poor overall fit $\chi^2$ =228/78). " To model the low energy absorption, we then added a photoionised absorber to the power law in Xspec, using a recent output (grid 18) of the XSTAR code (Kallman and Bautista 2001)."," To model the low energy absorption, we then added a photoionised absorber to the power law in Xspec, using a recent output (grid 18) of the XSTAR code (Kallman and Bautista 2001)." " The ionisation parameter and column density were left as free parameters, but tied for the 3 data sets, while the key metal abundances of C-Fe were fixed at their solar values."," The ionisation parameter and column density were left as free parameters, but tied for the 3 data sets, while the key metal abundances of C–Fe were fixed at their solar values." Grid 18 includes a turbulent velocity of 100 km s!., Grid 18 includes a turbulent velocity of 100 km $^{-1}$. " This addition yielded a much improved fit to the combined pn and MOS data (x?=89/76), with a column density Ng —1.02-0.1x10?? cm? of moderately ionised gas."," This addition yielded a much improved fit to the combined pn and MOS data $\chi^2$ =89/76), with a column density $_{H}$ $\pm$ $\times 10^{22}$ $^{-2}$ of moderately ionised gas." " The ionisation parameter £(—L/nr?, where L is the ionising luminosity irradiating matter of density n at a distance r) = 1143 erg cm s! was primarily constrained by the spectral upturn, observed below ~0.7 keV, which corresponds mainly to the absorption of ionised OVII in the model (figure 3)."," The ionisation parameter $\xi$ $L/nr^2$, where L is the ionising luminosity irradiating matter of density n at a distance r) = $\pm$ 3 erg cm $^{-1}$ was primarily constrained by the spectral upturn, observed below $\sim$ 0.7 keV, which corresponds mainly to the absorption of ionised OVII in the model (figure 3)." Addition of the absorbing column resulted in a steepening of the power law index to Γ--2.05-Ε0.14., Addition of the absorbing column resulted in a steepening of the power law index to $\Gamma$ $\pm$ 0.14. Although the, Although the aas à possible vounger analogue to the X-ray binary SS 433 and its associated. SNR W 50.,as a possible younger analogue to the X-ray binary SS 433 and its associated SNR W 50. X faint. jet-like structure oriented along the svmnmetry axis of numay correspond to the outllow itself. while breaks in the cars along this axis may represent this outflow. travelling bevond the shell.," A faint jet-like structure oriented along the symmetry axis of may correspond to the outflow itself, while breaks in the ears along this axis may represent this outflow travelling beyond the shell." Phe weak source iin the SNIUs interior is unlikely to be associated with the remnant., The weak source in the SNR's interior is unlikely to be associated with the remnant. We clo not detect any other central source in either X-rays or in racio., We do not detect any other central source in either X-rays or in radio. Phe former can be attributed to a lack of sensitivity in the observations and to absorption along the line of sight. while the latter may indicate a binary svsteni in a quiescent state or a pulsar with radio beams cirectec awav [rom us.," The former can be attributed to a lack of sensitivity in the observations and to absorption along the line of sight, while the latter may indicate a binary system in a quiescent state or a pulsar with radio beams directed away from us." To the SNIUs north is an unusual column of radio emission. which at one end may connect with the propose outflow from the SNRs centre and. at the other end. with vw rregion ROW SO.," To the SNR's north is an unusual column of radio emission, which at one end may connect with the proposed outflow from the SNR's centre and, at the other end, with the region RCW 80." Such an association puts the SNR at a listance 5.41.6. kpe ancl corresponds to an age of. less xui 4000 vr., Such an association puts the SNR at a distance $\pm$ 1.6 kpc and corresponds to an age of less than 4000 yr. The details of the physical process behind Lguch an interaction are unclear. but we note that a similar combination of outflow. distortion and. termination in a iermal region has been claimed for both €1332.400.1 (Ixes 32) and GS820401.2 (MBSII 54).," The details of the physical process behind such an interaction are unclear, but we note that a similar combination of outflow, distortion and termination in a thermal region has been claimed for both G332.4+00.1 (Kes 32) and G320.4–01.2 (MSH )." Further observations of SNR. wwill be required to determine whether our interpretation or its appearance is) valid., Further observations of SNR will be required to determine whether our interpretation for its appearance is valid. Lligher frequency racio observations can be used to provide higher resolution images of the ‘car ancl ‘jet’ regions and the interaction tween them. to better study the polarimetric properties of the SNR and. together with lower frequency data. to »etter constrain any spectral index cilferences between the different components of the remnant.," Higher frequency radio observations can be used to provide higher resolution images of the `ear' and `jet' regions and the interaction between them, to better study the polarimetric properties of the SNR and, together with lower frequency data, to better constrain any spectral index differences between the different components of the remnant." 1 iis similar to W. 50. X-ray observations of greater sensitivity and at higher energies should be able to detect both a central source and evidence for outflow from it.," If is similar to W 50, X-ray observations of greater sensitivity and at higher energies should be able to detect both a central source and evidence for outflow from it." Apart from00.6... we find at least eight. other SNRs in whieh the shell may be alfected in some way by jets or oulllows from an associated compact source. and suggest G290.1O18 (MSII GLA) asa possible further example.," Apart from, we find at least eight other SNRs in which the shell may be affected in some way by jets or outflows from an associated compact source, and suggest G290.1–01.8 (MSH A) as a possible further example." While the characteristic morpholον associated: with such outflow mav become another means of determining which supernovae have massive star progenitors. there is good reason to believe that a significant fraction of SNRs harbour compact remnants which. for various reasons. we still have not cletected.," While the characteristic morphology associated with such outflow may become another means of determining which supernovae have massive star progenitors, there is good reason to believe that a significant fraction of SNRs harbour compact remnants which, for various reasons, we still have not detected." We are particularly erateful to Anerew Walker for carrving out the optical observations and reduction., We are particularly grateful to Andrew Walker for carrying out the optical observations and reduction. We also thank Waren Brazier. Jim Caswell. Mike. Ixesteven. Neil IWilleen. Vinee Melntyre ancl Jessica Try for useful discussions. Simon Johnston for reading the manuscript. Veta Avedisova for supplying us with information [rom her catalogueE of star formation regions.5 and the referee. ‘Yom Landecker. for helpful comments which improved. the paper.," We also thank Karen Brazier, Jim Caswell, Mike Kesteven, Neil Killeen, Vince McIntyre and Jessica Try for useful discussions, Simon Johnston for reading the manuscript, Veta Avedisova for supplying us with information from her catalogue of star formation regions, and the referee, Tom Landecker, for helpful comments which improved the paper." BAIG acknowledges the support of an Australian Postgraduate Aware., BMG acknowledges the support of an Australian Postgraduate Award. The Australia Telescope is funded by the Commonwealth of Australia for operation as a National Facility managed by CSIRO., The Australia Telescope is funded by the Commonwealth of Australia for operation as a National Facility managed by CSIRO. This research has made use of the NASA Astrophysics Data System. the CDS SIMDAD database. the IPAC TIRES facility and the LEASARC Online Service. provided by the NASA/Cocldarcd Space Εισαι Center.," This research has made use of the NASA Astrophysics Data System, the CDS SIMBAD database, the IPAC HIRES facility and the HEASARC Online Service, provided by the NASA/Goddard Space Flight Center." We suppose that we are dealing with timing data from an array of Ny. pulsars.,We suppose that we are dealing with timing data from an array of $N_{\rm psr}$ pulsars. The data of cach pulsar is a N-point TOA serial signal., The data of each pulsar is a $N$ -point TOA serial signal. We denote the whole timing data set by 2). where the superscript is the pulsar index. and the subscript is the data index.," We denote the whole timing data set by $R_j^i$, where the superscript is the pulsar index, and the subscript is the data index." For example. the 2% is the j-th data point of the /-th pulsar POA.," For example, the $R_j^i$ is the $j$ -th data point of the $i$ -th pulsar TOA." " The timing data 1s just a ;N,-tinies- AN dimensional vector Ro and their components £7 takes the form of equation. (10))."," The timing data is just a $N_{\rm psr}$ $N$ dimensional vector ${\rm \bf R}$ and their components $R_{j}^{i}$ takes the form of equation. \ref{eq:fullsig}) )." The signal part of Rois completely determined by the A-dimensional parameter Ay (GAY parameters plus pulsar parameters)., The signal part of $\rm \bf R$ is completely determined by the $k$ -dimensional parameter $\lambda_k$ (GW parameters plus pulsar parameters). “Phe noise part is a random variable Following independent. Gaussian statistics., The noise part is a random variable following independent Gaussian statistics. We have where the signal part s=Re| Ry. and the noise n is assumed to be an uncorrelated white Gaussian noise. Lo. ∫⊤⊔↗↓⊳∖↿↓↕⋖⋅∐↳∖↓⊾↔↓∢⊾∖⇁⋖⊾↓⇂∪↓⋅↿↓↥⋖⋅∣−⇂↓↕↓≻⊔↓⊳∖⋜⊔⋅↓↻∆∖⊔∪↓⊳∖⋖⋅⇂↓⋅∪⊔↓∪⇂↓↥⋖⊾↓⋅24 ; ⋅ ⋅∕⋅ ⇁∕⇁⊳∖ tin. .," We have where the signal part ${\rm \bf s}={\rm \bf R}_{\rm g}+{\rm \bf R}_{\rm par}$ , and the noise $\rm \bf n$ is assumed to be an un-correlated white Gaussian noise, i.e. $\langle n_j^i n_j^i\rangle=\sigma_{\rm n}^{2\;(i)}$ and $\langle n_{j'}^{i} n_j^{i'}\rangle=0$ for any $j'\neq j$ or $i' \neq i$." ⋅ . s ⋠⋅ ≼∙⋖⋟↓↕∣↓⋅↕∣⋡⇂⇂⇂↕∢≱↓↕≻⊳↾∐↥⋖⋅∫↗⊲⊽⋯⋯↿∖∕∖∕↴⊳∕∖⋤↴∃↕⊳∖↿↓↕⋖⋅↓↕↓↕↓↕↕↓↕↓⋜↧↓, The $\sigma_{\rm n}^{(i)}$ is the RMS level for the $i$-th pulsar TOA noise from other contributions. ↓≻↓⋅∪∣⋡⋜↧∣⋡∐⊲⊔∙∖⇁∪⇂⋅⊔↓⋜↧↳⊀↓⊔⋏∙≟∥⊔↓⊀↓⊳∖↿⋜↧↓⊊⋖⊾⊀↓⊔∠⇂∢⊾≼⋰⊔⇂⊀↓⊔⋏∙≟∖∖⊽↓↕⊲⊔∼↓↥↓≻⋜⊔⋅⋜⋯↓∢⊾∩⋅↓⋅⊳∖⋖⋅↿⊳↿↓↥⋖⋅∕∖∕↴∪↓⋅ ∕∖↨⋰↿∪≼∙⇂↥∪∪≱∖∢⋅⋡∖∖⊽↓↕∢⊾⊔⋏∙≟⊲↓∖⋰↓⊔⋏∙≟∠⇂∥⋯⊟↦↓⊲∖∪↓⋅↿↓↕⋖⋅≼⇍⋜↧⊳∖⋖⊾∖∖⊽↓↕∢⋅↓⋅⋖⊾∕∖⋜⋯∠⇂∕∖↙↓⋯∖⇁∢⊾⋖⋅⊏↥⊔⋜↧↓↓≻↓⋰↓∪↓⋅⊳⋜↧⊳∖⊳," The $P_{\epsilon, {\rm min}}(\lambda_{k}, \lambda_{k}')$ is the minimal probability of making a mistake in deciding which parameter set, the $\lambda_{k}$ or $\lambda_{k}'$, to choose, when giving data ${\rm \bf R}$ ." ∖↓↕∪∖∖⊽⊔∣⋡∙∖⇁⇀∙↗↦∣↓↕⋖⊾⇂⋅∪∐∪∖∖⋰↓⊔⋏∙≟↓∐∡⋖⋅↓∐↕∪⋯⇂ ratio test minimizes the probability of making mistakes. where the [Πλ) is the probability distribution function of the data R. when the parameters take value of λε.," For the case where $\rm \bf \lambda$ and $\rm \bf \lambda'$ have equal prior, as shown by \cite{Kassam88}, , the following likelihood ratio test minimizes the probability of making mistakes, where the $f({\rm \bf R}|\lambda_{k})$ is the probability distribution function of the data ${\rm \bf R}$, when the parameters take value of $\lambda_{k}$." Following the likelihood test in equation. (0C2)).," Following the likelihood test in equation. \ref{eq:minalg}) )," one can show For the uncorrelated white Gaussian noise. the likelihood ratio (Πλ)/(R[AL) is Integrating over the random vectors »5. one derives and the P?(che«1Na) can be evaluated in very similar fashion.," one can show For the uncorrelated white Gaussian noise, the likelihood ratio $f({\rm \bf R}|\lambda_k)/f({\rm \bf R}|\lambda_k')$ is Integrating over the random vectors $n_{j}^i$, one derives and the $P\left(\left.\frac{f({\rm \bf R}|\lambda_{k})}{f({\rm \bf R}|\lambda_{k}')}<1\right|\lambda_{0,k} \right)$ can be evaluated in very similar fashion." Phe minimal error probability {αμ is then where equation. (C7))," The minimal error probability $P_{\epsilon, {\rm min}}$ is then where equation. \ref{eq:beta}) )" " and (C6)) show that the larger difference between the signal of A,and the signal of Aj. the larger ¢ is. andthe lessprobability one will make a mistake in discriminating between the two signals."," and \ref{eq:errprobfinal}) ) show that the larger difference between the signal of $\lambda_{k}$and the signal of $\lambda_{k}'$ , the larger $\zeta$ is, andthe lessprobability one will make a mistake in discriminating between the two signals." outer halo inverse-Compton scattering of the microwave background accounts for a larger share of the electron energy losses (han near (he Galactic plane. because the infrared. ancl optical photon fields quickly lose intensity bevond 5 kpe above the plane of the Galaxy.,"outer halo inverse-Compton scattering of the microwave background accounts for a larger share of the electron energy losses than near the Galactic plane, because the infrared and optical photon fields quickly lose intensity beyond 5 kpc above the plane of the Galaxy." Also. (he magnetic-fiekd strength is expected to fall off. although we do not know at what point it drops to iG. below which the svnchrotron energy losses are subdominant.," Also, the magnetic-field strength is expected to fall off, although we do not know at what point it drops to $\ {\rm \mu G}$, below which the synchrotron energy losses are subdominant." We will estimate ihe intensitv in the 100-MeV. band [rom galactie dark-matter decay in the outer halo in the next section. together with the extragalactic component.," We will estimate the intensity in the 100-MeV band from galactic dark-matter decay in the outer halo in the next section, together with the extragalactic component." The majority of dark matter is located sufficiently. far away [from galaxies (Z20 kpc) that positrons and electrons from its decay would primarily interact with the microwave background., The majority of dark matter is located sufficiently far away from galaxies $\gtrsim 20$ kpc) that positrons and electrons from its decay would primarily interact with the microwave background. " Since all electrons sulfer the same late and the electron source rate scales linearly with the darkanatter density. we can ignore anv density structure and use spatially averaged quantities. Le. a conservative fraction of Q,,=0.239 times the critical density. 7."," Since all electrons suffer the same fate and the electron source rate scales linearly with the dark-matter density, we can ignore any density structure and use spatially averaged quantities, i.e. a conservative fraction of $\Omega_m=0.239$ times the critical density, $9.9\cdot 10^{-30}\ {\rm g\,cm^{-3}}$ ." For the source function and the energv-loss rate we find and where 2 denotes the redshift., For the source function and the energy-loss rate we find and where $z$ denotes the redshift. The average differential number densitv is therefore The intensity of inverse-Conmpton emission is calculated as where is (he Jacobian used to turn the line-ol-sight integral into a recshilt integral., The average differential number density is therefore The intensity of inverse-Compton emission is calculated as where is the Jacobian used to turn the line-of-sight integral into a redshift integral. We integrate to redshift 2=5. bevond which the emissivity is neelieibly small.," We integrate to redshift $z=5$, beyond which the emissivity is negligibly small." The soft-photon, The soft-photon Exeept for the northern knot. no radio emission is visible which can be associated with the X-ray halo or the Iimb-brightened feature seen in X-ray.,"Except for the northern knot, no radio emission is visible which can be associated with the X-ray halo or the limb-brightened feature seen in X-ray." Conservatively scaling the rms background brightness of our image (260 μὴν aat 1.43 Cllz) to the standard frequency of 1 Cllz using a steep assumed spectral we obtain a 36 upper limit on Xjog; of 1.6te.," Conservatively scaling the rms background brightness of our image (260 $\mu$ at 1.43 GHz) to the standard frequency of 1 GHz using a steep assumed spectral we obtain a $3\sigma$ upper limit on $\Sigma_{\rm \, 1 GHz}$ of 1.6." Since the X-ray limb detected at a radius of ~ llikely indicates the location of the forward shock??).. we can place more stringent limits on the radio brightness of the shell by integrating over the shell region.," Since the X-ray limb detected at a radius of $\sim$ likely indicates the location of the forward shock, we can place more stringent limits on the radio brightness of the shell by integrating over the shell region." Over an annular region with an outer angular radius of aand a thickness of of the outer radius. the observed total L43-Gllz flux density is 126 mJ. with à 36 upper limit of 30 mJy. corresponding to an average 1.43-Cllz spectral luminosity. of