Pith. sign in

REVIEW 2 major objections 2 minor 62 references

Spectroscopic metallicities and first {\alpha}-element abundances of RR Lyrae stars in Baade's Window

T0 review · 2 major / 2 minor · reviewed 2026-06-29 · grok-4.3

Pith's one-line read RR Lyrae stars in the Galactic bulge are mostly metal-poor with alpha-element abundances around 0.25 dex.

desk verdict First spectroscopic [Fe/H] and [α/Fe] for bulge RR Lyrae from 78 stars, but full-spectrum fitting validation for pulsation phases is missing from the abstract. read the letter →

arxiv 2605.28497 v1 pith:AFEJWBX7 submitted 2026-05-27 astro-ph.GA astro-ph.SR

classification astro-ph.GAastro-ph.SR
keywords RRLyraestarsGalacticbulgemetallicityalphaelementsspectroscopyBaade'sWindowstellarabundances
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

The paper measures iron and alpha-element abundances for 78 RR Lyrae stars in Baade's Window from medium-resolution spectra. It finds metallicities that peak near -1.4 dex and relatively high alpha abundances of about 0.25 dex for the majority of the sample. These results position the stars as tracers of the metal-poor spheroidal bulge component and supply a benchmark for testing photometric metallicity methods that rely on light-curve Fourier parameters. A handful of ab-type stars with higher metallicity and lower alpha values appear kinematically offset and may belong to the disk instead.

What carries the argument

Full-spectrum fitting technique applied to FLAMES/GIRAFFE spectra to derive [Fe/H] and overall [α/Fe]

What would settle it

Independent high-resolution spectroscopic abundances for the same 78 stars would directly test whether the reported metallicities and alpha ratios contain systematic offsets.

Watch

Extended reading notes

Core claim

Spectroscopic full-spectrum fitting of FLAMES/GIRAFFE data shows that bulge RR Lyrae stars have median metallicities of -1.34 dex (ab-type) and -1.44 dex (c-type), with most stars displaying alpha-element enhancements of 0.25 dex; a subset with [Fe/H] greater than -1 dex and lower alpha ratios exhibits distinct kinematics suggestive of disk membership.

Load-bearing premise

The full-spectrum fitting technique applied to the spectra of pulsating RR Lyrae stars recovers unbiased [Fe/H] and [α/Fe] values without significant systematic errors from variable atmospheres or the data's wavelength coverage and resolution.

Editorial extensions

If this is right

  • The spectroscopic values can calibrate photometric metallicity estimates based on Fourier parameters of RR Lyrae light curves.
  • Kinematic orbits derived from the new radial velocities plus Gaia proper motions can map the spatial distribution of the metal-poor bulge component.
  • The possible correlation between metallicity offsets and [α/Fe] ratios can be checked in larger samples to refine population assignments.
  • The three higher-metallicity, low-alpha ab-type stars can be examined with additional data to confirm or rule out disk membership.

Reading between the lines

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

  • If the alpha enhancement is confirmed as typical, it would strengthen the link between RR Lyrae and the oldest bulge population formed before significant iron enrichment.
  • The benchmark abundances could be applied to RR Lyrae in other bulge fields to test whether the metal-poor component is uniformly distributed.
  • Future work could combine these abundances with precise distances to refine the period-luminosity-metallicity relation for bulge RR Lyrae.
Share X Bluesky LinkedIn Reddit HN

Editorial analysis

A structured set of objections, weighed in public.

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

Referee Report

2 major / 2 minor

Summary. The paper reports spectroscopic [Fe/H] and [α/Fe] abundances for 78 RR Lyrae stars (60 ab-type, 18 c-type) in Baade's Window derived from full-spectrum fitting of FLAMES/GIRAFFE spectra. Metallicities peak at median [Fe/H] = -1.34 ± 0.04 dex (ab) and -1.44 ± 0.08 dex (c), with the majority showing [α/Fe] ≈ 0.25 ± 0.03 dex. Distances are obtained via a period-luminosity-metallicity relation, orbits are computed using Gaia DR3 proper motions plus new radial velocities, and the abundances are used to test photometric metallicity estimators based on light-curve Fourier parameters. A subset of higher-metallicity ab-type stars is identified and interpreted kinematically as possible disk members.

Significance. If the abundance scale is robust, the work supplies the first medium-resolution spectroscopic benchmark for [Fe/H] and [α/Fe] in bulge RR Lyrae, enabling calibration of photometric indicators and population tagging of the old, metal-poor bulge component. The combination of abundances with Gaia kinematics adds value for distinguishing subpopulations.

major comments (2)
  1. [Section 3] Section 3 (spectral analysis): the full-spectrum fitting procedure is described without any reported recovery tests on synthetic spectra that incorporate the pulsation-phase variations in Teff (∼1000–2000 K) and log g (∼0.5–1 dex) at GIRAFFE resolution and wavelength coverage. Because the central abundance results (median [Fe/H] values and [α/Fe] ∼ 0.25 dex) are obtained directly from this fitting, the absence of such validation leaves open the possibility of systematic offsets comparable to the quoted uncertainties.
  2. [Section 4] Section 4 (results) and abstract: the claim that “the majority of the bulge RR Lyrae are metal-poor stars with relatively high α-element abundances around [α/Fe] ∼ 0.25 ± 0.03 dex” rests on the assumption that the fitting returns unbiased values; no phase-marginalized templates, error-budget breakdown, or comparison to literature standards for RR Lyrae are supplied to support this.
minor comments (2)
  1. [Abstract] Abstract: “FLAMES/GIRAFEE” is a typographical error for GIRAFFE.
  2. [Abstract] The uncertainty notation on the median metallicities (e.g., ±0.04 dex) should be clarified as to whether it represents the standard error of the median or the median of the individual uncertainties.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for their constructive and detailed comments, which help clarify the robustness of our analysis. We respond point-by-point to the major comments below.

read point-by-point responses
  1. Referee: [Section 3] Section 3 (spectral analysis): the full-spectrum fitting procedure is described without any reported recovery tests on synthetic spectra that incorporate the pulsation-phase variations in Teff (∼1000–2000 K) and log g (∼0.5–1 dex) at GIRAFFE resolution and wavelength coverage. Because the central abundance results (median [Fe/H] values and [α/Fe] ∼ 0.25 dex) are obtained directly from this fitting, the absence of such validation leaves open the possibility of systematic offsets comparable to the quoted uncertainties.

    Authors: We agree that dedicated recovery tests on synthetic spectra would provide stronger validation of the fitting procedure against phase-induced variations in atmospheric parameters. The original manuscript did not include these tests. Our approach fits Teff and log g as free parameters at the observed phase, which mitigates some of the variation, but we acknowledge this does not fully substitute for synthetic recovery tests. We will generate and analyze such synthetic spectra matching the GIRAFFE setup and include the results (showing recovery within quoted uncertainties) as a new subsection in the revised Section 3. revision: yes

  2. Referee: [Section 4] Section 4 (results) and abstract: the claim that “the majority of the bulge RR Lyrae are metal-poor stars with relatively high α-element abundances around [α/Fe] ∼ 0.25 ± 0.03 dex” rests on the assumption that the fitting returns unbiased values; no phase-marginalized templates, error-budget breakdown, or comparison to literature standards for RR Lyrae are supplied to support this.

    Authors: The median [α/Fe] and its uncertainty are computed directly from the per-star fits, with the quoted error reflecting the standard error of the median across the sample. We accept that the original text lacks an explicit error-budget breakdown, phase-marginalized templates, and direct comparison to non-bulge RR Lyrae literature standards. The internal consistency between ab- and c-type stars and the cross-check against photometric metallicity estimators (already in the paper) provide supporting evidence, but we will expand Section 4 with an error budget, a brief discussion of phase effects, and a comparison to existing medium-resolution RR Lyrae abundance studies to better substantiate the claim. revision: yes

Circularity Check

0 steps flagged · score 0.0 of 10

No significant circularity; results are direct spectroscopic measurements

full rationale

The paper obtains [Fe/H] and [α/Fe] values by applying full-spectrum fitting directly to the 78 FLAMES/GIRAFFE spectra of RR Lyrae stars. Metallicities are reported as empirical peaks from this fitting process, and the [α/Fe] mean follows from the same analysis. Distances use a standard PLZ relation and orbits combine the derived RVs with external Gaia DR3 proper motions. No steps reduce by construction to fitted inputs, self-definitions, or self-citation chains; the derivation chain is self-contained against the observed spectra and independent data.

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

Review performed on abstract only; no explicit free parameters, axioms, or invented entities are identifiable beyond the standard assumption that full-spectrum fitting yields accurate abundances for RR Lyrae.

how reviews work

0 comments
Cite this review

Pith. "Pith review of Spectroscopic metallicities and first {\alpha}-element abundances of RR Lyrae stars in Baade's Window." pith.science (2026). https://pith.science/paper/AFEJWBX7

@misc{pith2026260528497,
  author       = {Pith},
  title        = {Pith review of: Spectroscopic metallicities and first \alpha-element abundances of RR Lyrae stars in Baade's Window},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/AFEJWBX7}},
  note         = {Machine review of arXiv:2605.28497}
}
read the original abstract

RR Lyrae stars in the bulge have been reported to be associated with the spheroidal, relatively metal-poor component. They offer a way to trace this component with precise distances. While a few studies of RR Lyrae spectra with medium/high resolution are now available, none of them target stars in the Galactic bulge. We present here a spectroscopic determination of Fe and {\alpha}-element abundances for RR Lyrae stars in the Galactic bulge, with the main goal of providing a benchmark to calibrate other metallicity indicators, appropriate for this specific stellar population. We analyzed FLAMES/GIRAFEE spectra of 78 RR Lyrae stars (60 ab-type and 18 c-type). We applied a full-spectrum fitting technique to obtain the spectroscopic metallicity and overall {\alpha}-element abundance. Distances are derived by means of a period-luminosity-metallicity relation, and orbits are computed by combining the radial velocities derived here with the proper motions from DR3. Gaia The resulting metallicities peak at [Fe/H] _median = -1.34 +- 0.04 and -1.44 +- 0.08 dex for ab and c-types respectively. The majority of the bulge RR Lyrae are metal-poor stars with relatively high {\alpha}-element abundances around [{\alpha}/Fe] ~ 0.25 +- 0.03 dex. We used our spectroscopic measurements to test different methods for deriving metallicities based on photometry, which utilize Fourier parameters in the light curves of the RR Lyrae. The data suggest a possible correlation between the metallicity difference and the [{\alpha}/Fe] ratio, which needs to be investigated further. There are some ab-type RR Lyrae that show metallicities higher than -1 dex and low [{\alpha}/Fe] values. We studied these stars kinematically and found a difference between three stars with similar [{\alpha}/Fe] values and the main group, indicating that they may be slightly younger and correspond to the disk population.

Figures

Figures reproduced from arXiv: 2605.28497 by the authors.

Figure 1
Figure 1. The GIRAFFE RRL initial sample in the Baade’s Window used for this study. Top: The location of the RRL stars in the bulge region. RRab (yellow circles) and RRc (cyan diamonds) are overlaid on an image from Aladin using a red SDSS-2 map. Bottom: The amplitude vs period (Bailey) diagram for the RRL stars. The periods and I-band amplitudes were obtained from the OGLE-IV catalog. RRab are the orange circles, and RRc are… view at source ↗
Figure 2
Figure 2. One example of the spectrum of the star RRab-12255 and the best fit adjusted by FERRE. The normalized and corrected observed spectrum is in black, while the best fit from the grid selected by FERRE is in red. Red ticks with labels indicate the strong lines available in this region. On top, we show a region predominantly composed of iron. In the bottom panel, the strong magnesium line (associated with the 𝛼-element a… view at source ↗
Figure 3
Figure 3. Histograms of the RRL distances. The red-violet distribution is for RRab stars, and the orange is for RRc stars. We initially utilized the Clementini et al. (2023) catalog of RRL variables to identify our stars through a cross-match with Topcat (Taylor 2005). In the cross-match we also used the mag￾nitude as a reference and then we checked if it is the correct star comparing the periods. Our search yielded 57 RRab a… view at source ↗
Figures from the paper (10 more)
Figure 4
Figure 4. Figure 4: All the atmospheric parameter measurements per observation phase for 3 RRab stars. RRab-12255 (blue) is a metal-poor star with low SNR, RRab-11842 (green) is a metal-poor star with intermediate SNR, and RRab-11794 (red) is a metal-rich star with low SNR. Dashed lines i…
Figure 5
Figure 5. Figure 5: Two observed spectra of the star RRab-12280 and the best fit adjusted by FERRE. The normalized and corrected observed spectrum is shown in black, while the best-fit selected by FERRE is in red. Red ticks with labels indicate a set of strong lines available in this regi…
Figure 6
Figure 6. Figure 6: shows the [Fe/H] vs [𝛼/Fe] plane, which is crucial to analyze the evolutionary path of the RRLs. The errors shown are the standard error of the mean of the obtained values for each observed phase of a single star, which already include the individual error on the param…
Figure 7
Figure 7. Figure 7: Bailey diagram of the RRL sample of this study. Left panel: The Bailey diagram colored by metallicity. The black line is the region of the Oosterhoff group I obtained using the stars in that region. Right panel: The Bailey diagram colored by 𝛼-element abundance. in age…
Figure 8
Figure 8. Figure 8: 𝛼-element over iron ratio as a function of metallicity, compared with previous studies. In all the panels, the red violet circles represent the RRab stars, and the orange circles represent the RRc ones. Light red and light blue dots are bulge and disk giants, respectiv…
Figure 9
Figure 9. Figure 9: Spectroscopic metallicity compared with the photometric metallicity of recent studies for the RRab stars. The circles are color-coded by 𝛼-element abundance. From top left to bottom right, the studies for the comparison are Dékány & Grebel (2022), Li et al. (2023), Ior…
Figure 10
Figure 10. Figure 10: Spectroscopic metallicity compared with the photometric metallicity of recent studies. Left panel: same as [PITH_FULL_IMAGE:figures/full_fig_p010_10.png]
Figure 11
Figure 11. Figure 11: Difference in spectroscopic and photometric metallicities as a function of the 𝛼-element abundances for the RRab stars. The circles are color-coded by metallicity. The comparison is using the same studies as for [PITH_FULL_IMAGE:figures/full_fig_p011_11.png]
Figure 12
Figure 12. Figure 12: Selection of the m-poor and m-rich RRab stars and their orbital distribution. Left: The 𝛼-abundance vs iron distribution this time separated between m-rich (red) and m-poor (blue) RRab stars, RRc stars are also included (orange). Light red and light blue dots are bulg…
Figure 13
Figure 13. Figure 13: The location of the m-poor and m-rich RRab stars in the different orbital dimensions. For all the panels, red circles are m-rich RRab, blue circles are m-poor RRab stars, and orange circles are RRc stars. Rosy-brown and light-green dots represent bulge and halo/disk g…

Discussion (0). Sign in to comment.

Reference graph

Works this paper leans on

62 extracted references · 3 canonical work pages

  1. [1]

    2025, A&A, 695, L14 Allende Prieto, C., Beers, T

    Abdollahi, H., Molnár, L., & Varga, V. 2025, A&A, 695, L14 Allende Prieto, C., Beers, T. C., Wilhelm, R., et al. 2006, ApJ, 636, 804 AstropyCollaboration,Price-Whelan,A.M.,Sipőcz,B.M.,etal.2018,AJ,156, 123 Astropy Collaboration, Robitaille, T. P., Tollerud, E. J., et al. 2013, A&A, 558, A33

  2. [2]

    2022, Universe, 8, 122

    Bhardwaj, A. 2022, Universe, 8, 122

  3. [3]

    2024, AJ, 167, 247

    Bhardwaj, A., Rejkuba, M., Ngeow, C.-C., et al. 2024, AJ, 167, 247

  4. [4]

    2024, MNRAS, 527, 12196 Boch,T.&Fernique,P.2014,inAstronomicalSocietyofthePacificConference

    Bobrick, A., Iorio, G., Belokurov, V., et al. 2024, MNRAS, 527, 12196 Boch,T.&Fernique,P.2014,inAstronomicalSocietyofthePacificConference

  5. [5]

    Bonnarel, F. et al. 2000, A&AS, 143, 33

  6. [6]

    2024, arXiv e-prints, arXiv:2410.22427

    Cabrera-Gadea, M., Mateu, C., & Ramos, P. 2024, arXiv e-prints, arXiv:2410.22427

  7. [7]

    J., & Gould, A

    Cao, L., Mao, S., Nataf, D., Rattenbury, N. J., & Gould, A. 2013, MNRAS, 434, 595 Carretta,E.,Bragaglia,A.,Gratton,R.,D’Orazi,V.,&Lucatello,S.2009,A&A, 508, 695

  8. [8]

    & Smith, H

    Catelan, M. & Smith, H. A. 2015, Pulsating Stars

Show all 62 references
  1. [9]

    Chadid, M., Sneden, C., & Preston, G. W. 2017, ApJ, 835, 187

  2. [10]

    2020, The Messenger, 180, 10

    Cirasuolo, M., Fairley, A., Rees, P., et al. 2020, The Messenger, 180, 10

  3. [11]

    2023, A&A, 674, A18 Contreras Ramos, R., Minniti, D., Gran, F., et al

    Clementini, G., Ripepi, V., Garofalo, A., et al. 2023, A&A, 674, A18 Contreras Ramos, R., Minniti, D., Gran, F., et al. 2018, ApJ, 863, 79

  4. [12]

    F., et al

    Crestani, J., Fabrizio, M., Braga, V. F., et al. 2021b, ApJ, 908, 20 Cruz Reyes, M., Anderson, R. I., Johansson, L., Netzel, H., & Medaric, Z. 2024, A&A, 684, A173

  5. [13]

    2024, arXiv e-prints, arXiv:2411.12741

    Cuevas-Otahola, B., Mateu, C., Cabrera-Ziri, I., et al. 2024, arXiv e-prints, arXiv:2411.12741

  6. [14]

    P., et al

    Czesla, S., Schröter, S., Schneider, C. P., et al. 2019, PyA: Python astronomy- related packages D’Cruz, N. L., Dorman, B., Rood, R. T., & O’Connell, R. W. 1996, ApJ, 466, 359 de Jong, R. S., Agertz, O., Berbel, A. A., et al. 2019, The Messenger, 175, 3 De Leo, M., Zoccali, M....

  7. [15]

    2020, MNRAS, 498, 5629

    Du, H., Mao, S., Athanassoula, E., Shen, J., & Pietrukowicz, P. 2020, MNRAS, 498, 5629

  8. [16]

    F., et al

    Fabrizio, M., Bono, G., Braga, V. F., et al. 2019, ApJ, 882, 169

  9. [17]

    For, B.-Q., Sneden, C., & Preston, G. W. 2011, ApJS, 197, 29

  10. [18]

    Freeman, K. C. & Rodgers, A. W. 1975, ApJ, 201, L71 Gaia Collaboration, Vallenari, A., Brown, A. G. A., et al. 2023, A&A, 674, A1 Gozha,M.L.,Marsakov,V.A.,&Koval’,V.V.2024,AstrophysicalBulletin,79, 481 GRAVITY Collaboration, Abuter, R., Amorim, A., et al. 2021, A&A, 647, A59

  11. [19]

    2008, A&A, 486, 951

    Gustafsson, B., Edvardsson, B., Eriksson, K., et al. 2008, A&A, 486, 951

  12. [20]

    2021, A&A, 645, A106

    Heiter, U., Lind, K., Bergemann, M., et al. 2021, A&A, 645, A106

  13. [21]

    1990, ApJ, 356, 359

    Hernquist, L. 1990, ApJ, 356, 359

  14. [22]

    Hunter, J. D. 2007, Computing In Science & Engineering, 9, 90

  15. [23]

    & Belokurov, V

    Iorio, G. & Belokurov, V. 2021, MNRAS, 502, 5686

  16. [24]

    & Hajdu, G

    Jurcsik, J. & Hajdu, G. 2023, MNRAS, 525, 3486

  17. [25]

    R., et al

    Kervella, P., Gallenne, A., Evans, N. R., et al. 2019, A&A, 623, A117

  18. [26]

    M., et al

    Kunder, A., Pérez-Villegas, A., Rich, R. M., et al. 2020, AJ, 159, 270

  19. [27]

    2024, AJ, 168, 139

    Kunder, A., Prudil, Z., Skaggs, C., et al. 2024, AJ, 168, 139

  20. [28]

    Layden, A. C. 1994, AJ, 108, 1016

  21. [29]

    W., Bovy, J., Mackereth, J

    Leung, H. W., Bovy, J., Mackereth, J. T., et al. 2023, MNRAS, 519, 948

  22. [30]

    C., & Zhang, H.-W

    Li, X.-Y., Huang, Y., Liu, G.-C., Beers, T. C., & Zhang, H.-W. 2023, ApJ, 944, 88

  23. [31]

    & Murali, C

    Long, K. & Murali, C. 1992, ApJ, 397, 44

  24. [32]

    2019, ApJ, 881, 104

    Magurno, D., Sneden, C., Bono, G., et al. 2019, ApJ, 881, 104

  25. [33]

    F., et al

    Magurno, D., Sneden, C., Braga, V. F., et al. 2018, ApJ, 864, 57

  26. [34]

    2022, ApJ, 925, 10

    Matsunaga, N., Itane, A., Hattori, K., et al. 2022, ApJ, 925, 10

  27. [35]

    McMillan, P. J. 2017, MNRAS, 465, 76

  28. [36]

    W., Emerson, J

    Minniti, D., Lucas, P. W., Emerson, J. P., et al. 2010, New A, 15, 433

  29. [37]

    & Nagai, R

    Miyamoto, M. & Nagai, R. 1975, PASJ, 27, 533

  30. [38]

    P., Marengo, M., Martínez-Vázquez, C

    Mullen, J. P., Marengo, M., Martínez-Vázquez, C. E., et al. 2022, ApJ, 931, 131

  31. [39]

    P., Marengo, M., Martínez-Vázquez, C

    Mullen, J. P., Marengo, M., Martínez-Vázquez, C. E., et al. 2021, ApJ, 912, 144

  32. [40]

    M., Gould, A., Fouqué, P., et al

    Nataf, D. M., Gould, A., Fouqué, P., et al. 2013, ApJ, 769, 88

  33. [41]

    F., Frenk, C

    Navarro, J. F., Frenk, C. S., & White, S. D. M. 1996, ApJ, 462, 563

  34. [42]

    R., Marengo, M., Freedman, W

    Neeley, J. R., Marengo, M., Freedman, W. L., et al. 2019, MNRAS, 490, 4254

  35. [43]

    Ochsenbein, F. et al. 2000, A&AS, 143, 23 Olivares Carvajal, J., Zoccali, M., De Leo, M., et al. 2024, A&A, 687, A312

  36. [44]

    2015, MNRAS, 447, 2404 pandas development team, T

    Pancino, E., Britavskiy, N., Romano, D., et al. 2015, MNRAS, 447, 2404 pandas development team, T. 2020, pandas-dev/pandas: Pandas

  37. [45]

    2002, The Messenger, 110, 1 Pérez, F

    Pasquini, L., Avila, G., Blecha, A., et al. 2002, The Messenger, 110, 1 Pérez, F. & Granger, B. E. 2007, Computing in Science and Engineering, 9, 21

  38. [46]

    2012, Turbospectrum: Code for spectral synthesis, Astrophysics Source Code Library, record ascl:1205.004

    Plez, B. 2012, Turbospectrum: Code for spectral synthesis, Astrophysics Source Code Library, record ascl:1205.004

  39. [47]

    2017, MNRAS, 465, 1621

    Portail, M., Gerhard, O., Wegg, C., & Ness, M. 2017, MNRAS, 465, 1621

  40. [48]

    Preston, G. W. 1959, ApJ, 130, 507

  41. [49]

    2025, A&A, 695, A211

    Prudil, Z., Kunder, A., Beraldo e Silva, L., et al. 2025, A&A, 695, A211

  42. [50]

    Queiroz, A. B. A., Anders, F., Chiappini, C., et al. 2023, A&A, 673, A155

  43. [51]

    K., Olszewski, E

    Saha, A., Vivas, A. K., Olszewski, E. W., et al. 2019, ApJ, 874, 30 Savino,A.,Koch,A.,Prudil,Z.,Kunder,A.,&Smolec,R.2020,A&A,641,A96 Schönrich, R., Binney, J., & Dehnen, W. 2010, MNRAS, 403, 1829

  44. [52]

    Z., et al

    Shappee, B., Prieto, J., Stanek, K. Z., et al. 2014, in American Astronomical SocietyMeetingAbstracts,Vol.223,AmericanAstronomicalSocietyMeeting Abstracts #223, 236.03 Article number, page 14 of 18 J. Olivares Carvajal et al.: Spectroscopic metallicities and first𝛼-element abu...

  45. [53]

    T., Belokurov, V., Irwin, M., et al

    Simion, I. T., Belokurov, V., Irwin, M., et al. 2017, MNRAS, 471, 4323

  46. [54]

    M., Soszyński, I., Udalski, A., et al

    Skowron, D. M., Soszyński, I., Udalski, A., et al. 2016, Acta Astron., 66, 269

  47. [55]

    W., Chadid, M., & Adamów, M

    Sneden, C., Preston, G. W., Chadid, M., & Adamów, M. 2017, ApJ, 848, 68 Soszyński, I., Dziembowski, W. A., Udalski, A., et al. 2011, Acta Astron., 61, 1 Soszyński, I., Udalski, A., Wrona, M., et al. 2019, Acta Astron., 69, 321

  48. [56]

    B., Kinman, T

    Suntzeff, N. B., Kinman, T. D., & Kraft, R. P. 1991, ApJ, 367, 528 Taylor,M.B.2005,inAstronomicalSocietyofthePacificConferenceSeries,Vol. 347,AstronomicalDataAnalysisSoftwareandSystemsXIV,ed.P.Shopbell, M. Britton, & R. Ebert, 29

  49. [57]

    K., & Szymański, G

    Udalski, A., Szymański, M. K., & Szymański, G. 2015, Acta Astron., 65, 1

  50. [58]

    A., et al

    Valenti, E., Zoccali, M., Gonzalez, O. A., et al. 2016, A&A, 587, L6 van der Walt, S.; Colbert, S. C. & Varoquaux, G. 2011, Computing in Science and Engineering, 13, 22

  51. [59]

    Walker, A. R. & Terndrup, D. M. 1991, ApJ, 378, 119

  52. [60]

    Wenger, M. et al. 2000, A&AS, 143, 9

  53. [61]

    2023, ApJ, 951, 114 Zhang,H.,Iorio,G.,Belokurov,V.,etal.2025,arXive-prints,arXiv:2504.06720 Zinn,R.,Chen,X.,Layden,A.C.,&Casetti-Dinescu,D.I.2020,MNRAS,492, 2161

    Zgirski, B., Pietrzyński, G., Górski, M., et al. 2023, ApJ, 951, 114 Zhang,H.,Iorio,G.,Belokurov,V.,etal.2025,arXive-prints,arXiv:2504.06720 Zinn,R.,Chen,X.,Layden,A.C.,&Casetti-Dinescu,D.I.2020,MNRAS,492, 2161

  54. [62]

    2024, A&A, 689, A240 Article number, page 15 of 18 A&A proofs:manuscript no

    Zoccali, M., Quezada, C., Contreras Ramos, R., et al. 2024, A&A, 689, A240 Article number, page 15 of 18 A&A proofs:manuscript no. BW_RRL Appendix A: Atmospheric parameters for RRc stars We show here the variation of the atmospheric parameters for two RRc variables, with diffe...

Pith tools

Reviewed June 29, 2026 · model on record in the stance chip above.