Pith. sign in

REVIEW 3 major objections 5 minor 102 references

SDSS-V LVM: Collisionless Shocks in the Supernova Remnant RCW86

T0 review · 3 major / 5 minor · reviewed 2026-08-06 · deepseek-v4-flash

Pith's one-line read A single supernova remnant maps how collisionless shocks divide heat between electrons and protons.

desk verdict The IFU dataset is a solid new resource, but the slow-shock end of the Te/Tp trend is on shakier ground than the abstract suggests, because the anchoring regions show the very neutral precursor that the comparison models omit. read the letter →

arxiv 2507.08257 v1 pith:EXBKVUBU submitted 2025-07-11 astro-ph.HE

classification astro-ph.HE
keywords supernovaremnantsBalmer-dominatedshockscollisionlesselectron-ionequilibrationshockprecursorsintegralfieldspectroscopyRCW86H-alphalineprofiles
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The reading

This paper reports the first integral-field spectroscopic map of the southwestern shock front of the supernova remnant RCW86, resolving the Balmer-dominated filaments at roughly 0.3 parsec scales. It argues that the shock's broad and narrow hydrogen-alpha components reveal a clear pattern: faster shocks, above about 800 km/s, keep electrons much cooler than protons, with the temperature ratio approaching 0.1, while slower shocks, below about 500 km/s, approach full electron-proton equilibration. The paper also reports the first intermediate-velocity H-alpha component in RCW86, which it attributes to a neutral precursor ahead of the shock, plus elevated Balmer decrements consistent with Lyman-beta trapping. The significance is that a single remnant now populates the parameter space previously assembled from many remnants, sharpening observational constraints on how collisionless shocks distribute energy between particle species.

What carries the argument

The central object is the Balmer-dominated shock, a fast non-radiative collisionless shock in partially ionized gas whose H-alpha line splits into a narrow component from cold pre-shock neutrals and a broad component from fast neutrals produced by charge exchange with hot post-shock protons. The argument is carried by the relation between the broad-to-narrow intensity ratio, the broad-line FWHM, and a model grid that converts these observables into a shock velocity and an electron-to-proton temperature ratio. The integral-field unit provides the new capability: 148 fibers across one shock front now fill the broad-to-narrow versus FWHM plane that earlier single-slit studies had sampled with only a few points from different remnants.

What would settle it

Recompute the same broad-to-narrow versus FWHM comparison using a model grid that includes neutral-precursor heating and full Lyman-line radiative transfer; if the fast shocks above 800 km/s become consistent with full equilibration once precursors are included, the claimed velocity-dependent equilibration would be an artifact of the simplified models.

Watch

Extended reading notes

Core claim

On the paper's own terms, the discovery is that electron-ion temperature equilibration in collisionless shocks varies systematically with shock speed within one supernova remnant. Comparing the broad-to-narrow H-alpha intensity ratio and the broad-line FWHM against the adopted model grid that maps these observables to shock velocity and electron-to-proton temperature ratio, the authors find that the faster parts of the RCW86 shock, above about 800 km/s, favor a temperature ratio close to 0.1, while the slower parts, below about 500 km/s, favor a ratio close to 0.5 to 1. The broad-component FWHM spans roughly 400 to 800 km/s in the south and 1000 to 1500 km/s in the north, revealing a large velocity gradient along the same shock front. The paper also reports the first intermediate-velocity H-alpha component in RCW86, with FWHM of 192 to 207 km/s, attributed to a neutral-precursor-heated region, and narrow-component Balmer decrements of 3 to 5 that support Lyman-beta trapping in the cold neutrals.

Load-bearing premise

The load-bearing premise is that the adopted model grid accurately predicts the broad-to-narrow ratio and line width for the plasma conditions in RCW86; if its assumptions about Lyman-photon transport, precursor heating, and pre-shock ionization are biased, the inferred electron-to-proton temperature ratios would shift.

Editorial extensions

If this is right

  • If correct, electron-ion equilibration is not a constant but a function of shock velocity, with faster shocks leaving electrons far cooler than protons in a way that supports the idea that electron heating is nearly independent of velocity above roughly 400 km/s.
  • The single-remnant mapping means Balmer-dominated supernova remnants can calibrate collisionless shock physics over a wide velocity range without the systematic differences that plague cross-remnant comparisons.
  • The first detection of an intermediate H-alpha component in RCW86 strengthens neutral-precursor models and gives observers a new line-width diagnostic for precursor heating and cosmic-ray effects.
  • The narrow-component Balmer decrements of 3 to 5 imply that Lyman-line trapping must be included when interpreting Balmer-dominated shock spectra, and that the cold neutral population is the main site of that trapping.
  • The broad-to-narrow centroid offsets of up to about 100 km/s indicate bulk post-shock motion or non-Maxwellian ion distributions, which complicates but also enriches simple velocity diagnostics.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • The same integral-field method could be applied to other Balmer-dominated remnants, such as Tycho, SN1006, and Kepler, to test whether the velocity-dependent equilibration trend seen in RCW86 is universal or depends on local conditions.
  • The inferred high neutral fraction in the southern shock, combined with the neutral-precursor evidence, suggests RCW86's forward shock is advancing into partly neutral material, which may sharpen limits on the ionizing flux of its Type Ia progenitor.
  • If neutral-precursor heating is modeled more completely, part of the scatter in the broad-to-narrow ratio may be absorbed by the precursor, possibly tightening the inferred temperature-ratio relation and exposing residual variations due to magnetic field or density structure.
  • The ongoing full-remnant survey that this observation previews could map the entire 360-degree shock front of RCW86 and test whether the velocity-equilibration relation is azimuthally uniform or correlated with the surrounding density distribution.
Share X Bluesky LinkedIn Reddit HN

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, and a circularity audit.

Referee Report

3 major / 5 minor

Summary. This paper presents SDSS-V LVM integral-field spectroscopy of the southwestern part of the supernova remnant RCW86, covering the Balmer-dominated non-radiative shock and adjacent radiative clouds at ~0.3 pc scales. After median stacking and local background subtraction, the authors fit Hα+[NII] with one- and two-component Gaussian models and select 148 spaxels with a statistically significant broad Hα component, using AIC-based criteria validated in Appendix A. From the broad-to-narrow intensity ratio and broad FWHM, they derive shock velocities of ~500–1500 km/s and, by comparison with the van Adelsberg et al. (2008) model grids for Te/Tp = 0.1, 0.5, and 1.0, conclude that faster shocks have lower electron-ion temperature equilibration while slower shocks tend toward full equilibration. Additional results include broad-narrow centroid offsets, enhanced narrow Hα/Hβ ratios attributed to Lyβ trapping, a marginal HeII 4686 detection implying a high preshock neutral fraction, and the first intermediate Hα component in RCW86, interpreted as a neutral precursor. A brief comparison of radiative-cloud line ratios with MAPPINGS-III grids is also presented.

Significance. If the equilibration trend survives the model-dependence tests requested below, the paper delivers a significant observational step: a single SNR covering a wide velocity range, filling the Ib/In–FWHM plane previously populated by a handful of slit observations, and providing the first evidence for a neutral precursor in RCW86. The analysis is careful in several respects: the broad-component selection uses explicit AIC and FWHM-ratio criteria with rejected examples shown in Appendix A, the background-subtraction robustness is tested with three independent fiber sets in Appendix B, and the measurements are consistent with previous slit spectroscopy of the same region (Section 5.3). The main caveat is that the central Te/Tp inference relies on precursor-free models even though the data indicate a neutral precursor in the slow-shock region; this is acknowledged in Section 5.1.3 but not in the abstract or the conclusions.

major comments (3)
  1. [§5.1.3, Figure 7; §5.5] The central inference that Te/Tp rises toward unity at low shock velocity is made by comparing measured Ib/In and FWHM with the van Adelsberg et al. (2008) model grid, which the authors explicitly state excludes cosmic-ray and neutral precursors. The same dataset, however, shows an intermediate Hα component with FWHM 192–207 km/s in BDS-S1 and BDS-S1-smaller (Section 5.5, Figure 12), attributed to a neutral return-flux precursor, and those southern stacks are precisely the slow-shock regions that anchor the near-full-equilibration endpoint. Because Morlino et al. (2012), cited in Section 5.1.3, show that precursor heating can lower Ib/In relative to precursor-free predictions, the apparent trend toward Te/Tp ~ 0.5–1 at low vs could be a precursor effect rather than genuine electron-ion equilibration. I ask the authors to compare the slow-shock stacks with precursor-inclusive models, at least in the 685–941 km/s range and extending Morlino et al.'s 10^3 km/s grid downward, or to restate the abstract and Section 7 conclusions as an upper limit with this caveat made explicit.
  2. [§5.1.3, Eq. (10)] The radiative-shock contamination correction subtracts a fixed (NII/Hα)_rad = 2/3 of the [NII]6584 intensity from the narrow Hα flux in every fiber. The correction is therefore largest in the southern fibers, which have the highest [NII]/Hα ratios (Figure 5, top panel) because they lie nearest the bright radiative cloud; this differentially increases Ib/In' at low shock velocities and can mimic the rise of Te/Tp toward the slow-shock end. Please report the sensitivity of Figure 7 to (NII/Hα)_rad over a plausible range (e.g., 0.4–1.0) and to the by-eye membership of the BDS-S1 and BDS-S1-smaller stacks, and state explicitly whether the trend persists.
  3. [§5.1.3, Figure 7 and footnote 23] The paper itself notes in footnote 23 that it cannot verify the Te/Tp-vs relation because it lacks the full model grid, and the comparison in Figure 7 is presented by eye, with the data split into panels according to the Te/Tp value used to convert FWHM to shock velocity. As a result, the statement that electrons and ions are not fully equilibrated in faster shocks but tend toward full equilibration in slower shocks is a qualitative consistency statement rather than a statistical inference. Please add a quantitative agreement measure (e.g., a chi-squared or bootstrap test over the three panels, including the covariance of FWHM and Ib/In and the uncertainties in the model grid) or clearly label the claim as illustrative.
minor comments (5)
  1. [Abstract and §4.2] The abstract states shock velocities of 500–900 km/s in the south and 1000–1500 km/s in the north, while Section 4.2 reports broad-component FWHM values of 400–800 km/s and 1000–1500 km/s for the same regions; please clarify whether the quoted numbers are shock velocities or FWHM and make the wording consistent.
  2. [§5.3, paragraph defining BDS groups] The BDS-S1-smaller group is defined as four fibers with the most prominent broad Hα components selected visually; please give the fiber count and selection criterion for every BDS group, since the stacked spectra in Figure 11 are the basis for the He and Balmer-decrement results.
  3. [§5.5, penultimate paragraph] The phrase 'the broad component amplitude is forced to be negative' should read 'the fitted broad-component amplitude goes to zero or negative' to avoid implying a physical constraint rather than a fitting behavior.
  4. [References] The reference entry for van Adelsberg et al. (2008) is missing the journal name and article identifier; as printed it appears as a title and DOI only.
  5. [Figure 7] Figure 7 would benefit from a legend identifying the three Te/Tp panels and from error bars on a few representative data points; the grayscale overplot makes the comparison hard to evaluate by eye.

Circularity Check

0 steps flagged · score 0.0 of 10

No significant circularity: the Te/Tp inference is a comparison with the independent published van Adelsberg et al. (2008) model grid; the acknowledged precursor, extinction, and stacking caveats are model-dependence, not circularity.

full rationale

The paper's central claim is not derived from a parameter fitted to the same data or from a same-author uniqueness theorem. Section 5.1.3 compares observed Ib/In and broad Halpha FWHM with the published van Adelsberg et al. (2008) models. The FWHM-to-shock-velocity mapping (Figure 6) and the predicted Ib/In-versus-velocity curves (Figure 7) are different outputs of the same external model, which is parameter-free in the relevant sense: its stated assumptions (Case-B Ly-beta recombination, 50% preshock ionization, 10% He) are not tuned to reproduce the RCW86 trend. Although one current author is also a vA08 author, the model is independent support and does not reduce to a self-citation. The radiative-contamination corrections (Eqs. 10 and 12) use a fixed assumed (NII/Halpha)_rad = 2/3 and could shift points, but the conclusion that Te/Tp rises toward low vs is not built into those corrections by construction. The slow-shock endpoint is caveated by the paper's own admission that vA08 omits neutral and cosmic-ray precursors (Section 5.1.3) and by the independent detection of an intermediate Halpha component in the southern slow-shock regions (Section 5.5); likewise the by-eye stacking groups and measured extinction are assumptions. These are external-validity and model-dependence concerns, not cases where a prediction equals its input by definition. I find no circular step that can be exhibited as Eq. X = Eq. Y by construction or as a fitted parameter renamed as a prediction.

Assumptions & free parameters 5 free parameters · 5 assumptions · 0 invented entities

The paper introduces no new physical entities. The free parameters are empirical calibration choices (contamination ratio, extinction, selection thresholds) and modeling assumptions from the prior literature. The most consequential are the fixed (NII/Halpha)_rad ratio and the assumed extinction for the shocks.

free parameters (5)
  • Radiative-shock contamination ratio (NII/Halpha)_rad = 2/3
    Used in Eq. (10) to correct narrow H-alpha for radiative-shock contamination; this is a fixed assumed ratio from Cygnus Loop analyses, not measured for RCW86, and its value directly affects the corrected Ib/In and thus the Te/Tp inference.
  • Extinction AV (north and south) = AV = 1.21 +/- 0.41 mag (north), 0.90 +/- 0.34 mag (south)
    Measured from H-alpha/H-beta in selected 'Av-north' and 'Av-south' fibers and applied to the Balmer-dominated shock regions. The assumption that these regions share the same dust column as the shocks is acknowledged as uncertain.
  • AIC threshold for broad-component selection = 80
    Chosen by the authors to balance completeness and purity (Section 3, Appendix A); affects which fibers are included in the sample, though the main result is robust to the background choice.
  • FWHM ratio thresholds for broad component = 3 < FWHM_b/FWHM_n < 20
    Selection criteria that exclude narrow and very broad components; motivated by physical arguments but set by the authors.
  • Preshock He abundance and ionization fraction in modeling comparison = He/H = 0.1, ionization fraction = 50%
    Assumed when comparing to the van Adelsberg models; the authors note the variation is negligible compared to vs and Te/Tp, but this is an asserted, not demonstrated, claim.
assumptions (5)
  • domain assumption The van Adelsberg et al. (2008) models provide an accurate mapping between Ib/In, FWHM and (vs, Te/Tp) for the relevant RCW86 conditions.
    Used throughout Section 5.1 to convert measured FWHM to shock velocity and to infer Te/Tp. The authors note these models do not include cosmic-ray or neutral precursors and use Case-B Lyman-alpha trapping.
  • domain assumption The broad H-alpha component traces the forward shock velocity with a well-defined relation (FWHM proportional to vs for fixed Te/Tp).
    Central to deriving the shock velocity gradient in Section 4.2 and the equilibration analysis. This is the standard Balmer-dominated shock physics assumption.
  • domain assumption The narrow H-alpha component is dominated by cold neutral atoms in the preshock gas, with any radiative-shock contamination removable via a fixed (NII/Halpha) ratio.
    Underlies the corrected Ib/In values in Eq. (10) and the Balmer-decrement analysis in Section 5.3.
  • domain assumption The extinction toward the Balmer-dominated shocks is the same as toward the nearby 'Av-north' and 'Av-south' fibers.
    The paper states this 'may not strictly be true' (Section 5.3). The alternative Av-rad extinction is used as an upper limit.
  • standard math The distance to RCW86 is 2.5 kpc, giving the physical scale of 0.3 pc per fiber.
    Assumed throughout when quoting spatial scales; adopted from Williams et al. (2011).

how reviews work

0 comments
Cite this review

Pith. "Pith review of SDSS-V LVM: Collisionless Shocks in the Supernova Remnant RCW86." pith.science (2026). https://pith.science/paper/EXBKVUBU

@misc{pith2026250708257,
  author       = {Pith},
  title        = {Pith review of: SDSS-V LVM: Collisionless Shocks in the Supernova Remnant RCW86},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/EXBKVUBU}},
  note         = {Machine review of arXiv:2507.08257}
}
abstract

The supernova remnant (SNR) RCW86 is among the few SNRs with Balmer-emission lines containing broad and narrow spectral components that trace fast, non-radiative shocks in partially-ionized gas.\ These are invaluable laboratories for collisionless shock physics, especially for poorly-understood phenomena like electron-ion equilibration, and shock precursors. Here we present the first $\sim$0.3 pc spatial scale integral field unit (IFU) observations of the southwestern RCW86 shock, obtained as part of the Sloan Digital Sky Survey-V Local Volume Mapper (SDSS-V LVM). The forward shock, clearly visible as thin filaments in narrowband images, have broad H$\alpha$ components, indicating shock velocities varying from 500--900 km/s in the south to 1000--1500 km/s in the north. The varying velocity widths and broad-to-narrow intensity ratios show that electrons and ions have lower equilibration ($T_e/T_p \rightarrow 0.1$) in faster ($>$800 km/s) shocks, in line with previous studies. The broad components are generally redshifted from the narrow components by $\lesssim$100 km/s, likely due to shock-obliquity or non-Maxwellian post-shock distributions. We observe high extinction-corrected Balmer-decrements of 3--5 in the narrow components, indicating that conversion of Ly$\beta$ photons to H$\alpha$ is more efficient than Ly$\gamma$ to H$\beta$. Broad HeII$\lambda$4686 was marginally ($\gtrsim$2$\sigma$) detected in the southern shock, meaning the shock is impacting gas with high ($>$30--100\%) neutral fraction. We also find the first evidence of an intermediate H$\alpha$ component in RCW86, with $\Delta$V(FWHM) = 193--207 km/s, likely due to a neutral precursor. We also briefly discuss the southwestern radiative shock, and lay out the exciting future of studying astrophysical shocks with LVM.

Figures

Figures reproduced from arXiv: 2507.08257 by the authors.

Figure 1
Figure 1. (Left): Narrowband optical image from CTIO/Schmidt (obtained by P. F. Winkler) showing the full extent of the SNR RCW86. We use continuum-subtracted Hα (red), [S II] (green) and an r-band image (blue) to pro￾duce a custom rgb image that can distinguish the narrow Balmer-dominated filaments (mostly appearing red) from the radiative shocks (yellow). The observed hexagonal LVM footprint of the data presented in this wo… view at source ↗
Figure 2
Figure 2. IFU maps of the southwestern region of RCW86 showing the integrated line fluxes of Hα and Hβ, the prominent forbidden lines of [N II], and the ratio of [N II]/Hα from the narrow-only model. While it is more common to show [SII]:Hα ratios to indicate radiative shocks in SNRs, we show [NII]:Hα here, since [NII] is more relevant in the analysis that follows. Prominent Balmer-dominated filaments shown in [PITH_FULL_IMA… view at source ↗
Figure 3
Figure 3. (Left) Spatial distribution of fibers where an additional broad component was needed for the Hα line (orange hexagons; note that fibers are circular) shown on the narrowband Hα image from [PITH_FULL_IMAGE:figures/full_fig_p006_3.png] view at source ↗
Figures from the paper (13 more)
Figure 4
Figure 4. Figure 4: Physical properties of the 148 fibers with a detected broad component shown in [PITH_FULL_IMAGE:figures/full_fig_p008_4.png]
Figure 6
Figure 6. Figure 6: FWHM vs shock velocity for different values of Te/Tp predicted by the van Adelsberg et al (2008) models. We show an example of how we obtain shock velocity from a given value of FWHM (including uncertainties) for a par￾ticular Te/Tp (in this case, 0.5). only populated …
Figure 5
Figure 5. Figure 5: Ib/In vs full-width half-maxima of the 148 fibers with broad components detected in the Hα line. The top panel shows these points colored by their corresponding [N II]/Hα ratio. The bottom panel shows the same fibers but in grayscale, with similar estimates in isolated…
Figure 7
Figure 7. Figure 7: Comparison of our LVM data (gray) with the models of M. van Adelsberg et al. (2008) (black curved lines) for three values of Te/Tp. Each panel from left to right shows a particular equilibration model (Te/Tp). Since both the data and the models depend on Te/Tp (the sho…
Figure 8
Figure 8. Figure 8: Relative radial velocity shifts between broad and narrow component centroids in the 148 fibers with a detected broad component. The shifts are given in velocity units as per Equation (11). Example Hα spectra of select fibers (indicated by arrow and numbers in the left …
Figure 9
Figure 9. Figure 9: Regions where we stack the spectrum for analysis of fainter lines such as Hβ and He I, He II, as discussed in Sections 5.3. Fibers with the same color belong to one group (e.g BDS-N1=green, BDS-N2=gold, BDS-S2=magenta, BD￾S-S1=violet, and BDS-S1-smaller=red). Regions m…
Figure 10
Figure 10. Figure 10: Hα and Hβ profiles in the five stacked regions from [PITH_FULL_IMAGE:figures/full_fig_p016_10.png]
Figure 11
Figure 11. Figure 11: Properties of selected spectral lines of integrated Balmer-dominated shock regions from [PITH_FULL_IMAGE:figures/full_fig_p017_11.png]
Figure 12
Figure 12. Figure 12: Fitting the southern shocks BDS-S1 (top) and BDS-S1-smaller (bottom) with an additional intermediate Hα component (Section 5.5). Left panels shows the fits with a model that does not include an intermediate component, while right panel includes an intermediate compone…
Figure 13
Figure 13. Figure 13: Spectral line properties of prominent radiative shocks in the southwest (“RAD-SW”) and northeast (“RAD-NE”) of RCW86. Top row shows the spatial locations of fibers in RAD-SW and RAD-NE, and subsequent panels show line ratios of [S II]/Hα, [O III]/Hβ, [N II]/Hα, and S …
Figure 14
Figure 14. Figure 14: Examples of fibers that had a fitted broad Hα component, but were rejected based on the criteria in Section 3. The flux level of each spectrum was scaled by an arbitrary factor for viewing convenience (hence units are not shown). The label “N” refers to the Narrow-onl…
Figure 15
Figure 15. Figure 15: Demonstration of background fiber subtraction. Left panel shows the LVM footprint, location of our fiducial background fibers (red-filled), and example fibers whose spectra we display on the right (red-hollow). Top right panel shows portions of the spectral axis of th…
Figure 16
Figure 16. Figure 16: Effect of choice of background fiber locations on selection and science of broad Hα fibers. Top row shows the three groups of fibers used for background subtraction – North (red, left), Fiducial (middle, emerald), and South (right, violet) – and the resulting fibers w…

Discussion (0). Continue with ORCID to comment.

Reference graph

Works this paper leans on

102 extracted references · 28 canonical work pages

  1. [1]

    2016, ApJ, 819, 98, doi: 10.3847/0004-637X/819/2/98

    Ajello, M., Baldini, L., Barbiellini, G., et al. 2016, ApJ, 819, 98, doi: 10.3847/0004-637X/819/2/98

  2. [2]

    G., Groves, B

    Allen, M. G., Groves, B. A., Dopita, M. A., Sutherland, R. S., & Kewley, L. J. 2008, ApJS, 178, 20, doi: 10.1086/589652 Astropy Collaboration, Price-Whelan, A. M., Lim, P. L., et al. 2022, ApJ, 935, 167, doi: 10.3847/1538-4357/ac7c74 Astropy-Specutils Development Team. 2019, Specutils: Spectroscopic analysis and reduction,, Astrophysics Source Code Librar...

  3. [3]

    P., Bravo, E., & Langer, N

    Badenes, C., Hughes, J. P., Bravo, E., & Langer, N. 2007, ApJ, 662, 472, doi: 10.1086/518022

  4. [4]

    2025, A&A, 694, A212, doi: 10.1051/0004-6361/202451934

    Belfiore, F., Ginolfi, M., Blanc, G., et al. 2025, A&A, 694, A212, doi: 10.1051/0004-6361/202451934

  5. [5]

    P., & Long, K

    Blair, W. P., & Long, K. S. 1997, ApJS, 108, 261, doi: 10.1086/312958

  6. [6]

    P., Long, K

    Blair, W. P., Long, K. S., & Vancura, O. 1991, ApJ, 366, 484, doi: 10.1086/169583

  7. [7]

    A., Morales, F., Besser, F., et al

    Blanc, G. A., Morales, F., Besser, F., et al. 2024, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol. 13094, Ground-based and Airborne Telescopes X, ed. H. K. Marshall, J. Spyromilio, & T. Usuda, 1309403, doi: 10.1117/12.3018767 27 Figure 16.Effect of choice of background fiber locations on selection and science of broad...

  8. [8]

    2012, ApJ, 755, 121, doi: 10.1088/0004-637X/755/2/121

    Blasi, P., Morlino, G., Bandiera, R., Amato, E., & Caprioli, D. 2012, ApJ, 755, 121, doi: 10.1088/0004-637X/755/2/121

Show all 102 references
  1. [9]

    2025, arXiv e-prints, arXiv:2502.20448, doi: 10.48550/arXiv.2502.20448

    Bracci, C., Belfiore, F., Ginolfi, M., et al. 2025, arXiv e-prints, arXiv:2502.20448, doi: 10.48550/arXiv.2502.20448

  2. [10]

    2022, astropy/regions: v0.7, v0.7 Zenodo, doi: 10.5281/zenodo.7259631

    Bradley, L., Deil, C., Ginsburg, A., et al. 2022, astropy/regions: v0.7, v0.7 Zenodo, doi: 10.5281/zenodo.7259631

  3. [11]

    2014, MNRAS, 441, 3040, doi: 10.1093/mnras/stu667

    Broersen, S., Chiotellis, A., Vink, J., & Bamba, A. 2014, MNRAS, 441, 3040, doi: 10.1093/mnras/stu667

  4. [12]

    C., Long, K

    Caldwell, N., Raymond, J. C., Long, K. S., & Lee, M. G. 2025, arXiv e-prints, arXiv:2503.15423, doi: 10.48550/arXiv.2503.15423 28

  5. [13]

    A., Kirshner, R

    Chevalier, R. A., Kirshner, R. P., & Raymond, J. C. 1980, ApJ, 235, 186, doi: 10.1086/157623

  6. [14]

    A., & Raymond, J

    Chevalier, R. A., & Raymond, J. C. 1978, ApJL, 225, L27, doi: 10.1086/182785 Cid Fernandes, R., Carvalho, M. S., S´ anchez, S. F., de

  7. [15]

    2021, MNRAS, 502, 1386, doi: 10.1093/mnras/stab059

    Amorim, A., & Ruschel-Dutra, D. 2021, MNRAS, 502, 1386, doi: 10.1093/mnras/stab059

  8. [16]

    A., Belfiore, F., et al

    Congiu, E., Blanc, G. A., Belfiore, F., et al. 2023, A&A, 672, A148, doi: 10.1051/0004-6361/202245153 C´ uneo, V. A., Mu˜ noz-Darias, T., Jim´ enez-Ibarra, F., et al. 2023, A&A, 679, A85, doi: 10.1051/0004-6361/202347265 Del Zanna, G., Dere, K. P., Young, P. R., & Landi, E. 20...

  9. [17]

    A., Seitenzahl, I

    Dopita, M. A., Seitenzahl, I. R., Sutherland, R. S., et al. 2019, AJ, 157, 50, doi: 10.3847/1538-3881/aaf235

  10. [18]

    A., Groves, B

    Dopita, M. A., Groves, B. A., Fischera, J., et al. 2005, ApJ, 619, 755, doi: 10.1086/423948

  11. [19]

    A., Kreckel, K., et al

    Drory, N., Blanc, G. A., Kreckel, K., et al. 2024, AJ, 168, 198, doi: 10.3847/1538-3881/ad6de9 Duarte Puertas, S., Drissen, L., Robert, C., et al. 2024, MNRAS, 533, 2677, doi: 10.1093/mnras/stae1641

  12. [20]

    A., Becker, R

    Fesen, R. A., Becker, R. H., Blair, W. P., & Long, K. S. 1989, ApJL, 338, L13, doi: 10.1086/185389

  13. [21]

    M., & Rakowski, C

    Ghavamian, P., Laming, J. M., & Rakowski, C. E. 2007, ApJL, 654, L69, doi: 10.1086/510740

  14. [22]

    Williams, T. B. 2003, ApJ, 590, 833, doi: 10.1086/375161

  15. [23]

    Ghavamian, P., Raymond, J., Hartigan, P., & Blair, W. P. 2000, ApJ, 535, 266, doi: 10.1086/308811

  16. [24]

    C., & Hartigan, P

    Ghavamian, P., Raymond, J., Smith, R. C., & Hartigan, P. 2001, ApJ, 547, 995, doi: 10.1086/318408

  17. [25]

    Laming, J. M. 2013, SSRv, 178, 633, doi: 10.1007/s11214-013-9999-0

  18. [26]

    R., Vogt, F

    Ghavamian, P., Seitenzahl, I. R., Vogt, F. P. A., et al. 2017, ApJ, 847, 122, doi: 10.3847/1538-4357/aa83b8

  19. [27]

    F., Raymond, J

    Ghavamian, P., Winkler, P. F., Raymond, J. C., & Long, K. S. 2002, ApJ, 572, 888, doi: 10.1086/340437

  20. [28]

    Guo, M., Kim, C.-G., & Stone, J. M. 2024, arXiv e-prints, arXiv:2411.12809, doi: 10.48550/arXiv.2411.12809

  21. [29]

    1996, ApJL, 470, L97, doi: 10.1086/310303

    Hachisu, I., Kato, M., & Nomoto, K. 1996, ApJL, 470, L97, doi: 10.1086/310303

  22. [30]

    2004, MNRAS, 350, 1301, doi: 10.1111/j.1365-2966.2004.07713.x

    Han, Z., & Podsiadlowski, P. 2004, MNRAS, 350, 1301, doi: 10.1111/j.1365-2966.2004.07713.x

  23. [31]

    R., Millman, K

    Harris, C. R., Millman, K. J., van der Walt, S. J., et al. 2020, Nature, 585, 357, doi: 10.1038/s41586-020-2649-2

  24. [32]

    1999, ApJ, 526, 274, doi: 10.1086/307998

    Hartigan, P. 1999, ApJ, 526, 274, doi: 10.1086/307998

  25. [33]

    A., Vink, J., Bamba, A., et al

    Helder, E. A., Vink, J., Bamba, A., et al. 2013, MNRAS, 435, 910, doi: 10.1093/mnras/stt993

  26. [34]

    A., Vink, J., Bassa, C

    Helder, E. A., Vink, J., Bassa, C. G., et al. 2009, Science, 325, 719, doi: 10.1126/science.1173383

  27. [35]

    2010, PASA, 27, 23, doi: 10.1071/AS09057

    Heng, K. 2010, PASA, 27, 23, doi: 10.1071/AS09057

  28. [36]

    2007, ApJ, 654, 923, doi: 10.1086/509601

    Heng, K., & McCray, R. 2007, ApJ, 654, 923, doi: 10.1086/509601

  29. [37]

    Heng, K., van Adelsberg, M., McCray, R., & Raymond, J. C. 2007, ApJ, 668, 275, doi: 10.1086/521298

  30. [38]

    M., Bizenberger, P., Blanc, G

    Herbst, T. M., Bizenberger, P., Blanc, G. A., et al. 2024, AJ, 168, 267, doi: 10.3847/1538- 3881/ad794810.1134/S1063772908070044

  31. [39]

    J., Raymond, J

    Hester, J. J., Raymond, J. C., & Blair, W. P. 1994, ApJ, 420, 721, doi: 10.1086/173598

  32. [40]

    Hunter, J. D. 2007, Computing in Science & Engineering, 9, 90, doi: 10.1109/MCSE.2007.55

  33. [41]

    2008, ApJ, 689, 225, doi: 10.1086/592376

    Katsuda, S., Tsunemi, H., Uchida, H., & Kimura, M. 2008, ApJ, 689, 225, doi: 10.1086/592376

  34. [42]

    F., & Chevalier, R

    Kirshner, R., Winkler, P. F., & Chevalier, R. A. 1987, ApJL, 315, L135, doi: 10.1086/184875

  35. [43]

    P., & Chevalier, R

    Kirshner, R. P., & Chevalier, R. A. 1978, A&A, 67, 267 Kneˇ zevi´ c, S., L¨ asker, R., van de Ven, G., et al. 2017, ApJ, 846, 167, doi: 10.3847/1538-4357/aa8323

  36. [44]

    P., Herbst, T., Froning, C., et al

    Konidaris, N. P., Herbst, T., Froning, C., et al. 2024, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol. 13096, Ground-based and Airborne Instrumentation for Astronomy X, ed. J. J

  37. [45]

    Motohara, & J

    Bryant, K. Motohara, & J. R. D. Vernet, 130961Z, doi: 10.1117/12.3019892

  38. [46]

    2024, MNRAS, 530, 1078, doi: 10.1093/mnras/stae874

    Kopsacheili, M., Jim´ enez-Palau, C., Galbany, L., Boumis, P., & Gonz´ alez-D ´ ıaz, R. 2024, MNRAS, 530, 1078, doi: 10.1093/mnras/stae874

  39. [47]

    P., Kuncarayakti, H., Maeda, K., & Mattila, S

    Kravtsov, T., Anderson, J. P., Kuncarayakti, H., Maeda, K., & Mattila, S. 2024, arXiv e-prints, arXiv:2409.06504, doi: 10.48550/arXiv.2409.06504

  40. [48]

    Blair, W. P. 1996, ApJ, 472, 267, doi: 10.1086/178061

  41. [49]

    H., & Lee, M

    Lee, J. H., & Lee, M. G. 2014, ApJ, 786, 130, doi: 10.1088/0004-637X/786/2/130

  42. [50]

    C., et al

    Li, C.-J., Chu, Y.-H., Raymond, J. C., et al. 2021, ApJ, 923, 141, doi: 10.3847/1538-4357/ac2c04

  43. [51]

    A., et al

    Li, C.-J., Chu, Y.-H., Gruendl, R. A., et al. 2017, ApJ, 836, 85, doi: 10.3847/1538-4357/836/1/85

  44. [52]

    2024, A&A, 690, A161, doi: 10.1051/0004-6361/202450730

    Li, J., Kreckel, K., Sarbadhicary, S., et al. 2024, A&A, 690, A161, doi: 10.1051/0004-6361/202450730

  45. [53]

    Liddle, A. R. 2007, MNRAS, 377, L74, doi: 10.1111/j.1745-3933.2007.00306.x

  46. [54]

    S., & Blair, W

    Long, K. S., & Blair, W. P. 1990, ApJL, 358, L13, doi: 10.1086/185768

  47. [55]

    S., Blair, W

    Long, K. S., Blair, W. P., Kirshner, R. P., & Winkler, P. F. 1990, ApJS, 72, 61, doi: 10.1086/191409 29

  48. [56]

    S., Blair, W

    Long, K. S., Blair, W. P., Winkler, P. F., et al. 2022, ApJ, 929, 144, doi: 10.3847/1538-4357/ac5aa3

  49. [57]

    S., Winkler, P

    Long, K. S., Winkler, P. F., & Blair, W. P. 2019, ApJ, 875, 85, doi: 10.3847/1538-4357/ab0d94

  50. [58]

    Luridiana, V., Morisset, C., & Shaw, R. A. 2015, A&A, 573, A42, doi: 10.1051/0004-6361/201323152

  51. [59]

    I., Walch, S., Clarke, S

    Makarenko, E. I., Walch, S., Clarke, S. D., et al. 2023, MNRAS, 523, 1421, doi: 10.1093/mnras/stad1472 Mart ´ ınez-Rodr ´ ıguez, H., Badenes, C., Lee, S.-H., et al. 2018, ApJ, 865, 151, doi: 10.3847/1538-4357/aadaec

  52. [60]

    A., Raymond, J

    Medina, A. A., Raymond, J. C., Edgar, R. J., et al. 2014, ApJ, 791, 30, doi: 10.1088/0004-637X/791/1/30

  53. [61]

    2012, ApJ, 760, 137, doi: 10.1088/0004-637X/760/2/137

    Morlino, G., Bandiera, R., Blasi, P., & Amato, E. 2012, ApJ, 760, 137, doi: 10.1088/0004-637X/760/2/137

  54. [62]

    2013a, A&A, 557, A142, doi: 10.1051/0004-6361/201322161

    Morlino, G., Blasi, P., Bandiera, R., & Amato, E. 2013a, A&A, 557, A142, doi: 10.1051/0004-6361/201322161

  55. [63]

    2013b, A&A, 558, A25, doi: 10.1051/0004-6361/201322006

    Morlino, G., Blasi, P., Bandiera, R., & Amato, E. 2013b, A&A, 558, A25, doi: 10.1051/0004-6361/201322006

  56. [64]

    2014, A&A, 562, A141, doi: 10.1051/0004-6361/201322986

    Morlino, G., Blasi, P., Bandiera, R., & Amato, E. 2014, A&A, 562, A141, doi: 10.1051/0004-6361/201322986

  57. [65]

    2013c, ApJ, 768, 148, doi: 10.1088/0004-637X/768/2/148

    Morlino, G., Blasi, P., Bandiera, R., Amato, E., & Caprioli, D. 2013c, ApJ, 768, 148, doi: 10.1088/0004-637X/768/2/148

  58. [66]

    2019, MNRAS, 488, 803, doi: 10.1093/mnras/stz1734

    Moumen, I., Robert, C., Devost, D., et al. 2019, MNRAS, 488, 803, doi: 10.1093/mnras/stz1734

  59. [67]

    2017, PASP, 129, 062001, doi: 10.1088/1538-3873/aa6736 O’Donnell, J

    Mukai, K. 2017, PASP, 129, 062001, doi: 10.1088/1538-3873/aa6736 O’Donnell, J. E. 1994, ApJ, 422, 158, doi: 10.1086/173713

  60. [68]

    E., Ghavamian, P., & Hughes, J

    Rakowski, C. E., Ghavamian, P., & Hughes, J. P. 2003, ApJ, 590, 846, doi: 10.1086/375162

  61. [69]

    Raymond, J. C. 1991, PASP, 103, 781, doi: 10.1086/132881

  62. [70]

    Raymond, J. C. 2001, SSRv, 99, 209, doi: 10.1023/A:1013849116273

  63. [71]

    C., Blair, W

    Raymond, J. C., Blair, W. P., Fesen, R. A., & Gull, T. R. 1983, ApJ, 275, 636, doi: 10.1086/161561

  64. [72]

    C., Chilingarian, I

    Raymond, J. C., Chilingarian, I. V., Blair, W. P., et al. 2020, ApJ, 894, 108, doi: 10.3847/1538-4357/ab886d

  65. [73]

    C., Isenberg, P

    Raymond, J. C., Isenberg, P. A., & Laming, J. M. 2008, ApJ, 682, 408, doi: 10.1086/589645

  66. [74]

    C., Seok, J

    Raymond, J. C., Seok, J. Y., Koo, B.-C., et al. 2023a, ApJ, 954, 34, doi: 10.3847/1538-4357/ace692

  67. [75]

    C., Vink, J., Helder, E

    Raymond, J. C., Vink, J., Helder, E. A., & de Laat, A. 2011, ApJL, 731, L14, doi: 10.1088/2041-8205/731/1/L14

  68. [76]

    2010, ApJ, 712, 901, doi: 10.1088/0004-637X/712/2/901

    Park, S. 2010, ApJ, 712, 901, doi: 10.1088/0004-637X/712/2/901

  69. [77]

    C., Ghavamian, P., Bohdan, A., et al

    Raymond, J. C., Ghavamian, P., Bohdan, A., et al. 2023b, ApJ, 949, 50, doi: 10.3847/1538-4357/acc528

  70. [78]

    Romano, L. E. C., Behrendt, M., & Burkert, A. 2025, arXiv e-prints, arXiv:2503.12977, doi: 10.48550/arXiv.2503.12977 S´ anchez, S. F., Mej ´ ıa-Narv´ aez, A., Egorov, O. V., et al. 2025, AJ, 169, 52, doi: 10.3847/1538-3881/ad93bb

  71. [79]

    P., Delaney, T., et al

    Sankrit, R., Blair, W. P., Delaney, T., et al. 2005, Advances in Space Research, 35, 1027, doi: 10.1016/j.asr.2004.11.018

  72. [80]

    P., & Raymond, J

    Sankrit, R., Blair, W. P., & Raymond, J. C. 2023, ApJ, 948, 97, doi: 10.3847/1538-4357/acc860

  73. [81]

    C., Blair, W

    Sankrit, R., Raymond, J. C., Blair, W. P., et al. 2016, ApJ, 817, 36, doi: 10.3847/0004-637X/817/1/36

  74. [82]

    M., Mitsuishi, I., et al

    Sano, H., Reynoso, E. M., Mitsuishi, I., et al. 2017, Journal of High Energy Astrophysics, 15, 1, doi: 10.1016/j.jheap.2017.04.002

  75. [83]

    I., Clarke, S

    Smirnova, P., Makarenko, E. I., Clarke, S. D., et al. 2025, A&A, 693, A38, doi: 10.1051/0004-6361/202451108

  76. [84]

    Smith, R. C. 1997, AJ, 114, 2664, doi: 10.1086/118676

  77. [85]

    C., Kirshner, R

    Smith, R. C., Kirshner, R. P., Blair, W. P., & Winkler, P. F. 1991, ApJ, 375, 652, doi: 10.1086/170228

  78. [86]

    C., Raymond, J

    Smith, R. C., Raymond, J. C., & Laming, J. M. 1994, ApJ, 420, 286, doi: 10.1086/173558 Smithsonian Astrophysical Observatory. 2000, SAOImage DS9: A utility for displaying astronomical images in the X11 window environment,, Astrophysics Source Code Library, record ascl:0003.002

  79. [87]

    Sollerman, J., Ghavamian, P., Lundqvist, P., & Smith, R. C. 2003, A&A, 407, 249, doi: 10.1051/0004-6361:20030839

  80. [88]

    2018, MAPPINGS V: Astrophysical plasma modeling code,, Astrophysics Source Code Library, record ascl:1807.005

    Sutherland, R., Dopita, M., Binette, L., & Groves, B. 2018, MAPPINGS V: Astrophysical plasma modeling code,, Astrophysics Source Code Library, record ascl:1807.005

  81. [89]

    S., & Dopita, M

    Sutherland, R. S., & Dopita, M. A. 2017, ApJS, 229, 34, doi: 10.3847/1538-4365/aa6541

  82. [90]

    M., & Heng, K

    Tseliakhovich, D., Hirata, C. M., & Heng, K. 2012, MNRAS, 422, 2357, doi: 10.1111/j.1365-2966.2012.20787.x

  83. [91]

    R., Dopita, M

    Tuohy, I. R., Dopita, M. A., Mathewson, D. S., Long, K. S., & Helfand, D. J. 1982, ApJ, 261, 473, doi: 10.1086/160358 van Adelsberg, M., Heng, K., McCray, R., & Raymond, J. C. 2008, Spatial Structure and Collisionless Electron Heating in Balmer-dominated Shocks, doi: 10.1086/592680

  84. [92]

    2024, PhRvL, 132, 265201, doi: 10.1103/PhysRevLett.132.265201

    Vanthieghem, A., Tsiolis, V., Spitkovsky, A., et al. 2024, PhRvL, 132, 265201, doi: 10.1103/PhysRevLett.132.265201

  85. [93]

    E., et al

    Virtanen, P., Gommers, R., Oliphant, T. E., et al. 2020, Nature Methods, 17, 261, doi: 10.1038/s41592-019-0686-2 30

  86. [94]

    Y., Lee, J

    Wagner, A. Y., Lee, J. J., Raymond, J. C., Hartquist, T. W., & Falle, S. A. E. G. 2009, ApJ, 690, 1412, doi: 10.1088/0004-637X/690/2/1412

  87. [95]

    J., Blair, W

    Williams, B. J., Blair, W. P., Blondin, J. M., et al. 2011, ApJ, 741, 96, doi: 10.1088/0004-637X/741/2/96

  88. [96]

    J., Borkowski, K

    Williams, B. J., Borkowski, K. J., Reynolds, S. P., et al. 2014, ApJ, 790, 139, doi: 10.1088/0004-637X/790/2/139

  89. [97]

    F., Gupta, G., & Long, K

    Winkler, P. F., Gupta, G., & Long, K. S. 2003, ApJ, 585, 324, doi: 10.1086/345985

  90. [98]

    F., & Long, K

    Winkler, P. F., & Long, K. S. 1997, ApJ, 491, 829, doi: 10.1086/304969

  91. [99]

    F., Long, K

    Winkler, P. F., Long, K. S., & Blair, W. P. 2023, ApJ, 959, 62, doi: 10.3847/1538-4357/ad0237

  92. [100]

    M., Bildsten, L., Brooks, J., & Paxton, B

    Wolf, W. M., Bildsten, L., Brooks, J., & Paxton, B. 2013, ApJ, 777, 136, doi: 10.1088/0004-637X/777/2/136

  93. [101]

    E., Ghavamian, P., Badenes, C., & Gilfanov, M

    Woods, T. E., Ghavamian, P., Badenes, C., & Gilfanov, M. 2017, Nature Astronomy, 1, 800, doi: 10.1038/s41550-017-0263-5

  94. [102]

    E., Ghavamian, P., Badenes, C., & Gilfanov, M

    Woods, T. E., Ghavamian, P., Badenes, C., & Gilfanov, M. 2018, ApJ, 863, 120, doi: 10.3847/1538-4357/aad1ee

Pith tools

Reviewed August 6, 2026 · model on record in the stance chip above.