A spectral library and census of near-infrared stellar large-amplitude variables from Palomar Gattini-IR
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| Main Authors: | , , , , , , , , , , , |
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| Format: | Preprint |
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2025
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| author | Earley, Nicholas Karambelkar, Viraj Kasliwal, Mansi De, Kishalay Hillenbrand, Lynne Soria, Roberto Suresh, Aswin Ashley, Michael C. B. Hankins, Matthew J. Moore, Anna M. Soon, Jamie Travouillon, Tony |
| author_facet | Earley, Nicholas Karambelkar, Viraj Kasliwal, Mansi De, Kishalay Hillenbrand, Lynne Soria, Roberto Suresh, Aswin Ashley, Michael C. B. Hankins, Matthew J. Moore, Anna M. Soon, Jamie Travouillon, Tony |
| contents | We present a near-infrared census of stellar large-amplitude variables (LAVs) observed by the Palomar Gattini-IR (PGIR) surveyor from 2019-2021. Over the three-year time period, PGIR performed a brightness-limited survey of the Northern sky (18,000 sq. deg) to J-band AB magnitudes of $\sim 13$ within and $\sim 15$ outside the Galactic plane. From 70 million stars detected in PGIR reference images, we provide a spectral and photometric library of the 128 largest amplitude stellar variables detected to median SNR > 10 for more than 50 epochs with more than 5 high-amplitude detections, peak-to-peak magnitudes $\geq$ 2, and von Neumann ratios $\leq$ 0.2. We obtained medium-resolution near-infrared spectra with TripleSpec on the 200-inch Hale Telescope at Palomar Observatory and SpeX at NASA's Infrared Telescope Facility. The spectral census consists of 82 evolved and dust-obscured Asymptotic Giant Branch stars, 16 R Coronae Borealis stars, 13 young-stellar or pre-main-sequence objects, 8 symbiotic binaries, 7 erratic carbon- and oxygen-rich giants, and 2 RV Tauri supergiants. The spectral and photometric dataset serves as an atlas of near-infrared LAVs and a repository of evolved stars, eruptive variables, and binary systems for future deeper infrared surveys. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2510_18959 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A spectral library and census of near-infrared stellar large-amplitude variables from Palomar Gattini-IR Earley, Nicholas Karambelkar, Viraj Kasliwal, Mansi De, Kishalay Hillenbrand, Lynne Soria, Roberto Suresh, Aswin Ashley, Michael C. B. Hankins, Matthew J. Moore, Anna M. Soon, Jamie Travouillon, Tony Solar and Stellar Astrophysics Instrumentation and Methods for Astrophysics We present a near-infrared census of stellar large-amplitude variables (LAVs) observed by the Palomar Gattini-IR (PGIR) surveyor from 2019-2021. Over the three-year time period, PGIR performed a brightness-limited survey of the Northern sky (18,000 sq. deg) to J-band AB magnitudes of $\sim 13$ within and $\sim 15$ outside the Galactic plane. From 70 million stars detected in PGIR reference images, we provide a spectral and photometric library of the 128 largest amplitude stellar variables detected to median SNR > 10 for more than 50 epochs with more than 5 high-amplitude detections, peak-to-peak magnitudes $\geq$ 2, and von Neumann ratios $\leq$ 0.2. We obtained medium-resolution near-infrared spectra with TripleSpec on the 200-inch Hale Telescope at Palomar Observatory and SpeX at NASA's Infrared Telescope Facility. The spectral census consists of 82 evolved and dust-obscured Asymptotic Giant Branch stars, 16 R Coronae Borealis stars, 13 young-stellar or pre-main-sequence objects, 8 symbiotic binaries, 7 erratic carbon- and oxygen-rich giants, and 2 RV Tauri supergiants. The spectral and photometric dataset serves as an atlas of near-infrared LAVs and a repository of evolved stars, eruptive variables, and binary systems for future deeper infrared surveys. |
| title | A spectral library and census of near-infrared stellar large-amplitude variables from Palomar Gattini-IR |
| topic | Solar and Stellar Astrophysics Instrumentation and Methods for Astrophysics |
| url | https://arxiv.org/abs/2510.18959 |