Published September 16, 2026
| Version v1
Dataset
Open
Extragalactic Multi-Band Exploration of Red Supergiants (EMBERS): Catalog of 101,219 Red Supergiants and Bolometric Properties from JWST Imaging
Authors/Creators
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1.
Northwestern University
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2.
University of Toronto
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3.
University of Florida
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4.
University of Copenhagen
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5.
Instituto de Astrofísica de Andalucía
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6.
California Institute of Technology
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7.
Johns Hopkins University
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8.
Space Telescope Science Institute
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9.
National Astronomical Research Institute of Thailand
Description
Catalog of ~1.5 million luminous stars, including red supergiants (RSGs), asymptotic giant branch stars (AGBs), blue-sequence stars (consists of yellow/blue supergiants, foreground contaminants etc.) as described in Suresh et al. 2026. All inferred physical parameters and DOLPHOT photometry output of each source is included in the table.
Description of columns
| Column | Description |
|---|---|
| RSG_ID | Unique identifier for the source. |
| galaxy | Host galaxy name. |
| X | Pixel X-coordinate on the reference image. |
| Y | Pixel Y-coordinate on the reference image. |
| SNR | Signal-to-noise ratio from DOLPHOT photometry. |
| Sharpness | DOLPHOT sharpness parameter. |
| Crowding | DOLPHOT crowding parameter. |
| Type | DOLPHOT source type. |
| RA | Right ascension (J2000, degrees). |
| Dec | Declination (J2000, degrees). |
| gid | Internal galaxy group identifier. |
| id | Internal galaxy source identifier. |
| ndet | Total number of detections. |
| chimin | Minimum chi-square value from coarse SED fitting. |
| teff_chisq | Chi-square-derived effective temperature. |
| tdust_chisq | Chi-square-derived dust temperature. |
| tau_chisq | Chi-square-derived dust optical depth. |
| av_chisq | Chi-square-derived visual extinction. |
| lum_chisq | Chi-square-derived bolometric luminosity. |
| temperature_median | Posterior median effective temperature (K). |
| temperature_elow | Lower 1-sigma uncertainty on effective temperature. |
| temperature_eup | Upper 1-sigma uncertainty on effective temperature. |
| dust_temp_median | Posterior median dust temperature (K). |
| dust_temp_elow | Lower 1-sigma uncertainty on dust temperature. |
| dust_temp_eup | Upper 1-sigma uncertainty on dust temperature. |
| tau_V_median | Posterior median V-band dust optical depth. |
| tau_V_elow | Lower 1-sigma uncertainty on tau_V. |
| tau_V_eup | Upper 1-sigma uncertainty on tau_V. |
| luminosity_median | Posterior median bolometric luminosity (L_sun). |
| luminosity_elow | Lower 1-sigma uncertainty on luminosity. |
| luminosity_eup | Upper 1-sigma uncertainty on luminosity. |
| Rv_median | Posterior median total-to-selective extinction ratio. |
| Rv_elow | Lower 1-sigma uncertainty on Rv. |
| Rv_eup | Upper 1-sigma uncertainty on Rv. |
| Av_median | Posterior median visual extinction (mag). |
| Av_elow | Lower 1-sigma uncertainty on Av. |
| Av_eup | Upper 1-sigma uncertainty on Av. |
| chi_post | Posterior predictive chi-square goodness-of-fit. |
| sq_err_post | Non-error-normalized chi-square. |
| use_res | Flag indicating the fit result passed quality cuts. |
| timeout | Flag indicating the SBI fit exceeded the time limit. |
| use_res_missing | Flag indicating the fit was retained despite missing photometry. |
| use_res_noisy | Flag indicating the fit was retained despite noisy photometry. |
| noisy_data | Flag marking the source as having noisy photometry. |
| missing_data | Flag marking the source as having missing photometry. |
| nsamp_missing | Number of posterior samples affected by missing data. |
| nsamp_noisy | Number of posterior samples affected by noisy data. |
| p_rsg | KDE probability of RSG classification. |
| p_agb | KDE probability of AGB classification. |
| p_blue | KDE probability of blue-sequence classification. |
| *_mag | Apparent magnitude in the indicated NIRCam filter. |
| *_err | Photometric uncertainty on the corresponding *_mag value. |