The Gould’s Belt Distances Survey (GOBELINS). V. Distances and Kinematics of the Perseus molecular cloud
We derive the distance and structure of the Perseus molecular cloud by combining trigonometric parallaxes from Very Long Baseline Array (VLBA) observations, taken as part of the GOBELINS survey, and Gaia Data Release 2. Based on our VLBA astrometry, we obtain a distance of pc for IC 348. This is fully consistent with the mean distance of measured by Gaia. The VLBA observations toward NGC 1333 are insufficient to claim a successful distance measurement to this cluster. Gaia parallaxes, on the other hand, yield a mean distance of pc. Hence, the distance along the line of sight between the eastern and western edges of the cloud is 30 pc, which is significantly smaller than previously inferred. We use Gaia proper motions and published radial velocities to derive the spatial velocities of a selected sample of stars. The average velocity vectors with respect to the LSR are = and km s for IC 348 and NGC 1333, respectively. Finally, our analysis of the kinematics of the stars has shown that there is no clear evidence of expansion, contraction, or rotational motions within the clusters.
The Perseus molecular cloud represents an ideal target for studying the fundamental properties of young stars and their environment, since the complex is sufficiently nearby that spatial scales down to 50 au are possible to reach with major observing facilities like ALMA and the VLA. Consisting of an elongated chain of dark clouds, Perseus spans over an area of in the plane of the sky. The most prominent sub-structures are Barnard 5 (B5) and IC 348, at the eastern edge, and Barnard 1 (B1), NGC 1333, L1448, L1451 and L1455 at the western edge of the complex (see e.g. Bally et al., 2008, for a comprehensive review). Most of the young stars reside in IC 348 and NGC 1333, which contains about 480 and 200 objects, respectively, with ages of Myr (Luhman et al., 2016), mainly identified from optical and near-IR surveys. The protostellar content within Perseus, on the other hand, has been probed with observations at mid-IR (Spitzer; Enoch et al. 2009), far-IR (Herschel; Sadavoy et al. 2014), sub-mm (JCMT; Sadavoy et al. 2010) and radio (VLA; Tobin et al. 2016; Tychoniec et al. 2018) wavelengths. A total of 94 Class 0/I protostars and flat spectrum/Class II objects are known to populate the entire cloud (Tobin et al., 2016).
Multiple measurements of the distance to the individual clouds in Perseus have been performed in the past. These measurements suggest that there is a distance gradient across the cloud, with values in the range from 212 to 260 pc for the western component of the cloud (Cernis, 1990; Lombardi et al., 2010; Hirota et al., 2008, 2011; Schlafly et al., 2014) and 260–315 pc for the eastern component (Cernis, 1993; Lombardi et al., 2010; Schlafly et al., 2014). Direct measurement of distances via the trigonometric parallax have been obtained for only a few sources in these regions. Based on Very Long Baseline Interferometry (VLBI) observations of HO masers associated with two YSOs in NGC 1333 and L1448, Hirota et al. (2008, 2011) found a distance consistent with 235 pc for both clouds. However, whether or not the gradient in the distance across the whole complex is significant remains inconclusive, since the distance uncertainties on individual lines of sight are large (typically for photometric distances), and the number of sources with available direct distance measurements is small.
In the past few years, we have used the Very Long Baseline Array (VLBA) to measure the trigonometric parallax of several tens of young stars in nearby star-forming regions (Ortiz-León et al., 2017a; Kounkel et al., 2017; Ortiz-León et al., 2017b; Galli et al., 2018) as part of the Gould’s Belt Distances Survey (GOBELINS) project. Very Long Baseline Interferometry (VLBI) has the advantage of being able to detect highly embedded sources, where the extinction by dust obscures the optical light from the stellar objects. Given the high angular resolution provided by the VLBA and the fact that the interstellar material in these regions is transparent to radio waves, parallaxes with an accuracy of or better are possible for these kind of sources. In addition, parallaxes toward more than four hundred stars in Perseus with a limiting magnitude G=21 mag and parallax uncertainties mas have become available during the second Gaia data release (DR2). With this highly accurate astrometric data, we can now investigate the depth of the molecular cloud and the three-dimensional motions of the young stars as well as the global properties of the kinematics of IC 348 and NGC 1333.
We first describe the VLBA observations in Section 2 and the fits to our data in Section 3. Section 4 presents the extraction of the astrometric solutions from the Gaia DR2 catalog. We then use both VLBA and Gaia data to investigate the structure of the Perseus cloud, which is discussed in Section 5. Sections 6.1 and 6.2 present the kinematics of a selected sample of cluster members in IC 348 and NGC 1333. Finally, our conclusions are given in Section 7.
2 VLBA Observations and data reduction
The target selection for the VLBA survey and observing strategy follows the same procedure described in detail in Ortiz-León et al. (2017a). In summary, we constructed our target sample based on the properties of the radio emission detected with the Very Large Array toward Young stellar objects (YSOs) and YSO candidates in NGC 1333 and IC 348 (Pech et al., 2016). We observed all radio sources associated with YSOs whose radio emission could be detected with the VLBA, i.e. non-thermal sources. In addition, we observed all unidentified sources in the region whose radio properties are consistent with YSOs and have fluxes above the threshold of the GOBELINS observations. In total, 59 sources were observed between April 2011 and March 2018 at or 8.4 GHz (C- and X-band, respectively). The data were recorded in dual polarization mode with 256 MHz of bandwidth in each polarization, covered by eight separate 32 MHz intermediate frequency (IF) channels. Each observing session consisted of cycles alternating between the target and J0336+3218. Three additional calibrators were observed every minutes to improve the phase calibration. In addition, geodetic-like blocks, consisting of observations of many calibrators over a wide range of elevations, were taken before and after each session. We use AIPS (Greisen, 2003) for data inspection, calibration and imaging, following standard procedures for phase-referencing observations as described in Ortiz-León et al. (2017a).
Out of the 25 sources detected, only 7 are related to YSOs, while the rest turned out to be background objects with negligible motion on the plane of the sky. In this paper, we present a subset of detected YSOs for which we can measure both parallax and proper motions (4 sources in total). The other 3 sources have detections in only 1-2 epochs, which is insufficient to perform the astrometric fits. The dates of these observations and VLBA pointing positions are given in Table 1.
3 VLBA Astrometry
Source positions at individual epochs were extracted by performing two-dimensional Gaussian fits with the AIPS task JMFIT (Table 2). Parallax, , position at median epoch, , and proper motions, and , were fitted to the measured positions by minimizing in each direction. Systematic errors were added to the statistical errors provided by JMFIT. These errors were obtained by scaling positional uncertainties until the reduced of the fit becomes equal to 1. The resulting best-fit parameters are shown in columns (2)-(4) in Table 3. We briefly discuss each source in the following paragraphs.
3.1 Iras 03260+3111 = 2mass J03291037+3121591
This is a known wide binary system with a separation of 3.62 (Haisch et al., 2004) located in NGC 1333. It has been classified as a Class II object (Gutermuth et al., 2008) of spectral type F5 (Luhman et al., 2016). We simultaneously detected two sources with the VLBA in two epochs, with an angular separation of . The closer companion was already seen by Connelley et al. (2008), who found a binary separation of 0.55 in the near-IR. The source is thus a hierarchical triple system. The brightest IR component corresponds to the western radio source seen in our maps.
Given the scarcity of the data from the only 5 epochs available, the fit including orbital motions does not converge to reliable parameters, and the corresponding uncertainties are large. We thus fit only parallax and proper motions separately to each source, and adopt the resulting parameters from the fit to the eastern component, which has 4 detected epochs.
3.2 V913 Per
This source is located in IC 348. It is a Class III star of spectral type M2.5 (Luhman et al., 2016). It has been detected in 7 epochs, which we used for the derivation of the astrometric parameters. The derived parallax has an uncertainty of 3.3%.
3.3 V918 Per
Also located in IC 348, it is a Class II/III object (Alexander & Preibisch, 2012; Young et al., 2015) with a spectral type of G3 (Luhman et al., 2016). Two sources have been detected in our maps in alternative epochs. One source was only seen in the first epoch, while the other source has been detected in 5 epochs. We fit only the astrometric parameters to these five epochs.
3.4 Lrl 11
This source is a Class III star with a spectral type of G4 (Luhman et al., 2016) located in IC 348 as well. The model including only parallax and proper motions produces a poor fit to the data. We investigate if the source motion can be reproduced by adding an orbital component due to the possibility that the source is a binary system. The fit that includes orbital motions does indeed reproduce the measured source positions. We found that the two methods we have used in the past to fit binaries (c.f. Kounkel et al., 2017; Galli et al., 2018) yield different solutions for the orbital elements. This means that our data is not good enough to constrain the orbit, so it should be taken somewhat cautiously. On the other hand, the parallax and proper motions from the two methods agree within . We give in Table 4 the best-fit solution obtained from the MCMC method (Galli et al. 2018).
4 Gaia data
With the recent release of Gaia DR2 (Gaia Collaboration et al., 2016, 2018; Lindegren et al., 2018), astrometric data for objects with G21 mag have become available. We will use this wealth of new data to assess further the distance to Perseus.
As discussed in Section 1, the most complete catalog to date of young members in IC 348 and NGC 1333 has been compiled by Luhman et al. (2016). This catalog contains 478 and 203 stars in IC 348 and NGC 1333, respectively, for which memberships were confirmed from optical and near-IR spectroscopy. We performed a cross-match of the young stars positions against the Gaia DR2 catalog using a search radius of 1. The source coordinates in the catalog of Luhman et al. (2016) were either taken from the 2MASS Point Source Catalog (which have a positional accuracy of ) or measured from previous photometric infrared surveys, where allowed positional shifts are up to (Alves de Oliveira et al., 2013). The radial velocity catalogs we will use in Section 6.2 have been constructed from a variety of published X-ray, optical and mid-infrared surveys, where positional errors range from 0.3 to . Thus, the choice of a match radius of allows us to take into account the different uncertainties from the various surveys. In total, 351 and 90 stars, in IC 348 and NGC 1333, respectively, have five astrometric parameter solutions.
Three of our VLBA-detected sources appear in the Gaia DR2 catalog. Their astrometric solutions are given in columns (5)-(7) in Table 3. The difference between VLBA and Gaia parallaxes is 0.589, 1.277 and 0.015 mas, for V913 Per, V918 Per and LRL 11. The proper motions are remarkably different mainly in the R.A. direction. This discrepancy is expected for the binary systems, V918 Per and LRL 11, since all Gaia sources have been treated as single stars in DR2. We argue that the discrepancy in the astrometric solutions for V913 Per can be attributed to systematic errors present in Gaia DR2. The magnitude of these systematic errors is 0.1 mas for parallaxes and 0.1 mas yr for proper motions (Luri et al., 2018). In addition, a parallax zeropoint offset of mas, corresponding to the mean parallax of sources identified as quasars, should be also taken into account (Lindegren et al., 2018). If the systematic errors are added quadratically to the quoted uncertainties in Gaia DR2 catalog, then the parallax of V913 Per agrees within , and the proper motion in declination within . However, the proper motion in right ascension still disagrees by . For this particular source, the quantities astrometric_excess_noise and astrometric_excess_noise_sig, given in the Gaia archive, have values of 1.1 mas and 187.6, respectively. These parameters represent the excess noise of the source and its significance, which measure the difference between the observations and the best-fitting astrometric model. Values of astrometric_excess_noise mas (with astrometric_excess_noise_sig 2) indicate that the residuals of the fit to the Gaia data are larger than expected due to modelling and calibration errors. Other VLBA sources we have monitored in Orion and Taurus (Kounkel et al., 2017, Galli et al. 2018) show an agreement in proper motion better than . It is doubtful that our VLBA data are affected by systematic effects.
5 Structure of Perseus
We show in Figure 3 the distributions of Gaia parallaxes and parallax uncertainties for NGC 1333 and IC 348. The parallax uncertainties have median values of 0.30 mas in both cases. The weighted mean of these parallaxes is mas with a weighted standard deviation of mas for NGC 1333, and mas with mas, for IC 348. Inverting the weighted mean parallaxes (after correcting for the parallax zero-point shift of as) yields a distance of pc with a standard deviation of pc, for NGC 1333, and pc with pc for IC 348. If we remove the stars with parallaxes outside the core of the parallax distribution (i.e., with and mas in NGC 1333 and and mas in IC 348), the mean parallaxes give pc for NGC 1333 and pc for IC 348, where the quoted errors correspond to the standard deviation. In each cluster, the data have median of parallax uncertainties larger than the standard deviation of the whole distribution. This means that the parallax dispersion is not dominated by the intrinsic dispersion, but by the uncertainties on individual parallaxes. Thus, the true depth of the clouds cannot be extracted from these measurements.
The VLBA data alone suggest that NGC 1333 and IC 348 are located at similar distances. However, only the source IRAS 03260+3111 in NGC 1333 was used for the present analysis. This source is a multiple system where the angular separation between the VLBA components is . We do not expect that at such separation the orbital motion has a measurable effect on the motion of individual components over a time scale of a few years. The fit does not completely agree with the observations, though (top panel in Figure 1), so it is still possible that an additional and much closer unseen companion is present in the system. Regarding IC 348, the weighted mean of the VLBA parallaxes measured for V913 Per and V918 Per yields pc. This is in agreement with the weighted mean distance derived from Gaia parallaxes. We thus recommend to use pc as the distance to IC 348 and pc for NGC 1333. Finally, we note that the binary system LRL 11, located at a distance of pc, may not be part of Perseus but a background object projected in the direction of IC 348.
Outside IC 348 and NGC 1333, we found Gaia parallaxes for 13 objects (see Figure 8 and Table 8) which are known YSO candidates in Perseus (Dunham et al., 2015). One object resides in the outskirts of L1448 and has a parallax of mas, which means it is not part of Perseus. Two objects are in the outskirts of L1455, with parallaxes of mas and mas, respectively. While the former value does not provide any useful information due to its large uncertainty, the latter is consistent within 2 with the mean of parallaxes measured in NGC 1333. Other 9 objects are projected in the direction of the cloud B1. They have a weighted mean parallax of mas with standard deviation 0.32 mas (corresponding to 28 pc), which is also consistent with the weighted mean parallax of NGC 1333 . The last object is found southwest of IC 348 and has a parallax of mas. The large uncertainty of this measurement makes it difficult to claim the actual distance to this star.
Putting it all together, both Gaia and VLBA measurements suggest that the eastern edge of Perseus could be about 28 pc farther than the western edge, which is a significantly smaller distance variation than previously thought (e.g. Hirota et al., 2011). Past measurements of parallaxes using also VLBI resulted in a distance of pc for NGC 1333 (Hirota et al., 2011). The difference between this measurement and the derived in this work is . We should note that the measurements by Hirota et al. (2011) were obtained from a fit to water masers, whose flux and positions showed time variability during the observing period of 6 months. The peak velocity of the water emission also suffered a drift of km s. These authors took the average position of the different maser “spots” (emission seen in a single velocity channel) over contiguous spectral channels, which resulted in two spatially separated “features” detected each during 3 and 4.5 months, respectively. We discussed in Dzib et al. (2018) that this approach can introduce position fluctuations larger than the synthesized beam size, and introduce additional uncertainty in the astrometric parameters of the masers. We demonstrated in Dzib et al. (2018) that, in order to reduce the chances of misidentifiying maser spots from one epoch to another, one should fit the maser positions measured at the same velocity channel in all epochs. In L1448, Hirota et al. (2011) also detected several spots at different velocity channels. In this case, the authors did fit only maser spots detected at a velocity of km s. However, their data span a baseline of only 5 months, which is not enough to properly cover the parallax sinusoid. It is possible that the variability of the maser emission led to a misidentification of the maser spots and affected the astrometry performed toward these masers. Unfortunately, the protostars to which these masers are associated are too embedded that they remained undetected by Gaia, so a direct comparison against Gaia astrometry is not possible at the moment. It is also possible that NGC 1333 has multiple components along the line of sight. However, as we already mention above, the Gaia parallaxes are not good enough to search for such components.
6 Kinematics of IC 348 and NGC 1333
6.1 Proper motions
To analyse the proper motions within NGC 1333 and IC 348 and their intrinsic velocity dispersion, we need first to define a subset of cluster members which reflect the true dynamics of the clusters. To construct such a sample, we exclude all sources with parallaxes that deviate by more than from the weighted mean parallax in each cluster. The distributions of measured proper motions of the resulting sample after this initial cut are shown in Figures 4 and 5, for IC 348 and NGC 1333, respectively. The proper motion distributions were then fitted with Gaussian models, which are also plotted in red in these figures. We give in Table 6 the mean and velocity dispersion (corrected for the measurement errors) that result from the best-fit Gaussian distributions. To convert proper motion dispersions into tangential velocity dispersions, we have used the mean distance of pc for IC 348, and pc for NGC 1333. Based solely on the analysis of the radial velocity distribution, Cottaar et al. (2015) measured a velocity dispersion of km s for IC 348. Similarly, Foster et al. (2015) measured km s for NGC 1333. These values are comparable to the velocity dispersion measured here for the proper motions.
We then cut further stars with proper motions outside from the mean, where is the measured standard deviation. This selection has been made to mitigate the effects of unresolved astrometric binaries within our samples. Orbital motions are expected to contribute to the dispersion of the proper motions distributions in a non-preferential orientation. In Figure 4, the stars that are cut by this criteria are plotted as green empty squares, while the green filled squares represent the clusters members used in the forthcoming analysis. The proper motions of these subsets, relative to the mean of each cluster, are displayed in Figures 6 and 7, while the measured values are listed in Table 5. We see that proper motions within each cluster are highly consistent between themselves, with mean magnitudes indicated by the red arrows in each Figure and given in Table 6. Because these proper motions are measured relative to Sun, they mostly trace the reflex motion of the Sun. We must thus remove the Solar motion for the analysis of the internal kinematics of the stars in Perseus.
6.2 Spatial velocities
We now compute the three dimensional Galactic spatial velocities of the reduced sample of stars described in the section above. This requires the conversion of proper motions and radial velocities into velocities in the rectangular system of Galactic coordinates where the Sun is at the origin.
Radial velocities (RV) are available in the literature for several of our analysed sources, which were obtained as part of the INfrared Spectra of Young Nebulous Clusters (IN-SYNC) ancillary program of the Apache Point Observatory Galactic Evolution Experiment (APOGEE) and published by Cottaar et al. (2014, for IC 348) and Foster et al. (2015, for NGC 1333). Kounkel et al. (2018) recently reported on a new reduction of the APOGEE data taken in Orion, IC 348, NGC 1333 and other regions. We use here the data products from this recent reduction, since it implements an improved analysis of data variability. These RVs were measured at multiple epochs with typical baselines of a few months. Thus, we compute for each star the average of all available radial velocities, after removing epochs where the signal-to-noise ratio of the associated spectrum is less than 20 and the best-fit effective temperature is less than 2400 K. As noted by Cottaar et al. (2015), such epochs do not provide useful RVs and should be discarded in our analysis. For this analysis, we selected stars with rotational velocities in the range 5–150 km s (Cottaar et al., 2015), RV uncertainties smaller than 2 km s and excluded stars with very large proper motions, i.e. km s.
Furthermore, we removed stars with variable RVs, since epoch-to-epoch variations would be induced by binaries with short periods whose orbital motions would introduce a velocity offset. To look for strong radial velocity variability, we adopted the same procedure followed by Foster et al. (2015) in their own analysis of RVs. We computed the probability that the radial velocity is consistent with being constant, as estimated from the p-value that the is larger than expected from chance, where is the radial velocity with uncertainty in epoch and is the weighted mean over all epochs. Following Foster et al. (2015), all sources with p-values smaller than were excluded. The number of sources used to investigate the kinematics of the clouds, after removing the RV-variable sources is 133 in IC 348 and 31 in NGC 1333. Their radial velocities are given in Table 7.
The velocities of each star relative to the reference system are listed in Table 7. These were transformed to LSR velocities by subtracting the peculiar motion of the Sun, for which we use the values of the Solar motion obtained by Schönrich et al. (2010): km s, km s and km s.
In the top panel of Figure 9, we show the projections of the mean LSR velocities as the blue and red arrows for IC 348 and NGC 1333, respectively. We found km s, km s, km s, and km s, where the quoted errors correspond to the standard deviation. For the calculation of these spatial velocity components, we have used the average distances derived in Section 5, because, as we have already pointed out, the individual parallaxes uncertainties are large (i.e. comparable to the parallax dispersion) that would broaden the velocity dispersion. The resulting 3D velocity dispersion is km s for both clusters.
There is a significant difference between the velocity vectors measured here and those measured for the Perseus OB2 association, which overlaps the Perseus Molecular cloud in the sky. On the basis of Hipparcos proper motions, Belikov et al. (2002) found km s and a distance of pc for the associattion. This is not surprising given that the Perseus OB2 association, with an age of Myr (de Zeeuw et al., 1999), is older than both IC 348 and NGC 1333, and its dynamics has thus been affected by its interaction with the interstellar medium.
To calculate the expansion (or contraction) and rotation velocities within each cluster, we use the same methodology as was used for the Taurus complex in Rivera et al. (2015). The expansion (or contraction) and rotation velocities are approximately given by the dot and cross products according to,
where is the unit vector of the position of the star relative to the cluster center, and is the velocity of the star with respect to the cluster itself.
These expansion and rotation velocities were computed for each star in our analyzed sample, and then we take the mean of each cluster to arrive at km s and km s. The resulting expansion velocities are very small compared with the velocity dispersion of 2 km s. This means that the stellar motions in the radial direction do not seem to follow an expansion or contraction pattern.
The bottom panel of Figure 9 shows the projection of the mean rotation velocities. km s and km s. These measurements suggest that the rotation velocity of both clusters is too small, if present at all.
In IC 348, Cottaar et al. (2015) found a velocity gradient of km s arcmin due to a possible solid-body rotation of the cluster. Since the region under consideration has a size arcmin (Figure 6), this velocity gradient would imply a rotation velocity of km s. Thus, the analysis presented here does not support the findings of Cottaar et al. (2015). It should be noted, moreover, that the statistical significance of that measurement is at the level.
We have performed multi-epoch VLBA observations of three objects embedded in IC 348 and one object in NGC 1333, which are located near opposite ends within the Perseus molecular cloud. From the astrometric fits of this sample we derived a mean distance of pc to IC 348, representing the most reliable distance determination to the eastern of Perseus. This distance is consistent with the mean of Gaia DR2 parallaxes to a selected sample of known confirmed members of the cluster. The uncertainty on the mean of Gaia parallaxes is, however, 2.6 times larger than the VLBA uncertainty. The source detected with the VLBA in NGC 1333 is a close binary system, for which we derive preliminary orbital parameters. Unfortunately, the VLBA data is not enough to provide a reliable distance for this specific source, and consequently, for the NGC 1333 cluster. Gaia parallaxes, on the other hand, yield a mean distance of pc. From these measurements, we conclude that the distance between the western and eastern edges of the clouds is about 30 pc in the direction of the line of sight.
We use Gaia proper motions and radial velocities from the literature to derive the spatial velocities for a subset of cluster members. We derive the average spatial velocity vectors of IC 348 and NGC 1333, which are similar in magnitude and direction between them, but significantly different to the mean spatial motion of the Perseus OB2 association. We have estimated the expansion (or contraction) and rotation velocities of each cluster and found no clear evidence of such organized motions.
|Project||Observation||VLBA pointing positions||Observed|
|code||Date||R.A. ()||Decl. ()||band|
|BL175CD||2012 sep 04||03:44:34.77||32:07:43.99||X|
|BL175CF||2012 sep 07||03:45:00.92||32:04:19.03||X|
|BL175AS||2013 mar 22||03:44:34.77||32:07:43.99||X|
|BL175AU||2013 apr 18||03:45:00.92||32:04:19.03||X|
|BL175H8||2014 apr 13||03:45:00.92||32:04:19.03||X|
|BL175EF||2014 sep 06||03:43:58.63||32:01:45.64||X|
|BL175CQ||2014 sep 13||03:45:00.92||32:04:19.03||X|
|BL175EW||2015 apr 26||03:45:00.92||32:04:19.03||X|
|BL175HS||2015 oct 20||03:45:00.92||32:04:19.03||X|
|BL175HU||2015 oct 24||03:43:58.63||32:01:45.64||X|
|BL175I9||2016 apr 07||03:45:07.97||32:04:01.81||C|
|BL175IB||2016 apr 11||03:28:50.00||31:30:00.00||C|
|BL175ID||2016 apr 30||03:44:25.00||32:08:30.00||C|
|BL175IP||2016 aug 26||03:28:50.00||31:30:00.00||C|
|BL175J6||2016 aug 27||03:44:25.00||32:08:30.00||C|
|BL175J1||2016 oct 11||03:45:07.97||32:04:01.81||C|
|BL175JX||2017 apr 24||03:45:07.97||32:04:01.81||C|
|BL175KN||2017 oct 06||03:45:07.97||32:04:01.81||C|
|BL175KH||2017 oct 07||03:28:46.49||31:29:43.50||C|
|BL175KI||2017 oct 13||03:44:25.00||32:08:30.00||C|
|BL175KY||2018 mar 15||03:29:10.39||31:21:59.00||C|
|2456374.43416||3 44 32.58795488||0.00001138||32 8 42.372174||0.000296|
|2457319.91111||3 44 32.58879683||0.00000899||32 8 42.354985||0.000213|
|2457509.32628||3 44 32.58867044||0.00001174||32 8 42.348552||0.000277|
|2457628.01584||3 44 32.58905351||0.00000866||32 8 42.348630||0.000213|
|2458039.88818||3 44 32.58918298||0.00000718||32 8 42.340549||0.000184|
|2458193.47921||3 44 32.58891352||0.00000484||32 8 42.335871||0.000118|
|2458209.43523||3 44 32.58895319||0.00000232||32 8 42.335604||0.000064|
|2457319.91152||3 44 36.94228029||0.00000324||32 6 45.414751||0.000058|
|2457509.32628||3 44 36.94223035||0.00001212||32 6 45.410445||0.000356|
|2457628.01584||3 44 36.94268097||0.00001542||32 6 45.409728||0.000315|
|2458039.88818||3 44 36.94304360||0.00000313||32 6 45.401953||0.000083|
|2458209.43523||3 44 36.94289598||0.00000619||32 6 45.396791||0.000161|
|2456174.97590||3 44 36.96218751||0.00000269||32 6 44.952195||0.000068|
|2456177.96799||3 45 07.96419667||0.00000301||32 4 01.790487||0.000101|
|2456761.37584||3 45 07.96445493||0.00000820||32 4 01.776312||0.000194|
|2456913.95729||3 45 07.96488174||0.00000705||32 4 01.774299||0.000246|
|2457139.34132||3 45 07.96475367||0.00000248||32 4 01.766255||0.000075|
|2457315.85692||3 45 07.96497603||0.00000207||32 4 01.763100||0.000052|
|2457486.39137||3 45 07.96476855||0.00000214||32 4 01.756829||0.000062|
|2457672.88009||3 45 07.96503320||0.00000930||32 4 01.754586||0.000217|
|2457868.34505||3 45 07.96484623||0.00000337||32 4 01.748432||0.000126|
|2458032.89439||3 45 07.96512694||0.00000938||32 4 01.746482||0.000227|
|2458193.47921||3 45 07.96483889||0.00000819||32 4 01.742014||0.000237|
|2458209.43523||3 45 07.96484894||0.00001005||32 4 01.741787||0.000255|
|2457490.44419||3 29 10.36879126||0.00001335||31 21 58.937104||0.000281|
|2457627.07078||3 29 10.36934100||0.00001221||31 21 58.932573||0.000302|
|2458033.95677||3 29 10.36911952||0.00000841||31 21 58.925023||0.000144|
|2457490.44419||3 29 10.42062181||0.00000777||31 21 59.032952||0.000176|
|2458033.95677||3 29 10.42184192||0.00001568||31 21 59.017736||0.000187|
|2458193.47921||3 29 10.42173882||0.00000477||31 21 59.011139||0.000096|
|2458209.43523||3 29 10.42183461||0.00002250||31 21 59.011471||0.000280|
|(mas)||(pc)||(mas yr)||(mas yr)||(mas)||(pc)||(mas yr)||(mas yr)|
|IRAS 03260+3111||3.136 0.152||319||7.973 0.083||-11.257 0.121||–||–||–||–|
|V913 Per||3.119 0.104||321||2.458 0.047||-7.272 0.133||3.708 0.262||270||5.039 0.482||-7.111 0.281|
|V918 Per||3.129 0.512||320||4.857 0.335||-6.750 0.488||1.852 0.333||549||-3.321 0.602||-9.831 0.439|
|LRL 11||2.680 0.076||373||2.37 0.08||-8.271 0.160||2.665 0.117||372||1.814 0.214||-9.807 0.123|
|(mas)||(mas yr)||(mas yr)||(km s)|
|J03283651+3119289||3.17 0.18||7.04 0.22||-10.14 0.2||15.84 0.3|
|J03284407+3120528||3.4 0.63||6.92 0.98||-9.91 0.72||17.63 0.38|
|J03284764+3124061||2.79 0.76||10.2 1.24||-10.87 0.82||12.38 0.37|
|J03285119+3119548||3.18 0.12||7.24 0.15||-9.55 0.13||14.54 0.11|
|J03285216+3122453||3.31 0.12||5.99 0.14||-10.01 0.12||13.95 0.14|
|(mas yr)||4.35 0.03||7.34 0.05|
|(mas yr)||-6.76 0.01||-9.90 0.03|
|(mas yr)||0.24 0.03||0.92 0.05|
|(mas yr)||0.52 0.01||0.60 0.03|
|(km s)||0.36 0.05||1.27 0.07|
|(km s)||0.80 0.01||0.83 0.04|
|pc||(-288, 102, -98)||(-255, 101, -102)|
|km s||(-17.2, -6.2, -8.2)||(-17.5, -10.9, -9.6)|
|km s||(-6.1, 6.8, -0.9)||(-6.4, 2.1, -2.4)|
|km s||(1.6, 1.1, 1.2)||(1.0, 1.4, 1.0)|
|(km s)||(-0.16, 0.0 , -0.10)||(-0.10, 0.10, 0.19)|
|identifier||(km s)||(km s)||(pc)|
|name||(mas)||(mas yr)||(mas yr)|
|J032519.5+303424||0.68 0.43||1.21 0.72||0.08 0.47|
|J032835.0+302009||1.9 1.98||5.7 2.83||-9.82 1.94|
|J032842.4+302953||3.62 0.14||6.36 0.26||-9.75 0.15|
|J033052.5+305417||3.17 0.3||7.09 0.37||-7.79 0.31|
|J033118.3+304939||3.32 0.08||7.27 0.12||-7.8 0.09|
|J033120.1+304917||3.9 0.24||7.86 0.35||-8.25 0.24|
|J033142.4+310624||3.67 0.17||7.91 0.25||-6.56 0.17|
|J033241.6+311044||4.05 0.84||7.58 1.59||-8.63 0.84|
|J033241.7+311046||2.78 0.24||7.65 0.49||-7.65 0.26|
|J033312.8+312124||2.2 0.57||6.12 0.71||-7.93 0.6|
|J033330.4+311050||2.62 0.29||-2.0 0.52||-3.29 0.34|
|J033346.9+305350||3.67 0.2||10.92 0.31||-12.58 0.2|
|J033915.8+312430||2.37 0.7||7.58 1.35||-6.49 0.81|
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