Machine-learning Generated Catalog of Long Period Variables from Palomar Gattini-Infrared Lightcurves

A catalog of LPVs obtained from a decision tree classifier trained on features extracted from Palomar Gattini-IR J band lightcurves as described in Suresh et. al. 2024 (https://arxiv.org/abs/2402.08000).Description of columns1. 'Name' - Unique identifier for each LPV; internal designation of the object2. 'RA' - Right ascension3. 'Dec' - Declination4. 'num_detections' - number of detectionsCalculated features:5. 'von_neumann_score' - von-Neumann score 6. 'gp_score' - Gaussian process regression fit score7. 'slope_min' - minimum slope of the lightcurve8. 'slope_max' - maximum slope of the lightcurve9. 'ptp' - peak-to-peak amplitude 10. 'nflips' - number of flips11. 'max_rate' - maximum point-wise slope 12. 'min_rate' - minimum point-wise slope
13. 'lcdur' - observation baseline14. 'per_diff_90_50' - difference between 90th and 50th percentiles of J band magnitude15. 'per_diff_95_50' - difference between 95th and 50th percentiles of J band magnitude 16. 'J' - Stetson J index17. 'K_s' - Stetson K index, calculated as single band data18. 'K_m' - Stetson K index, calculated as multi-band data 19. 'L_s' - Stetson L index, calculated as single band data
20. 'L_m' - Stetson L index, calculated as multi-band data21. 'phase_chisq' - chi sq of sinusiod fit to phase folded lightcurve22. 'phase_redchi' - reduced chi sq of sinusiod fit to phase folded lightcurve 23. 'phase_aic' - akaike information criterion of sinusiod fit to phase folded lightcurve 24. 'phase_bic' - bayesian information criterion of sinusiod fit to phase folded lightcurve
25. 'bestperiod' - best fit Lomb-Scargle period 26. 'bestperiod_1' - second most likely Lomb-Scargle period27. 'bestperiod_2' - third most likely Lomb-Scargle period28. 'LSscore' - Lomb-Scargle score of best period 29. 'LSscore_2' - Lomb-Scargle score corresponding to second best period
30. 'LSscore_3' - Lomb-Scargle score corresponding to third best period 31. 'amplitude' - J band amplitude 32. 'meanF' - mean predicted value from Lomb-Scargle fit 33. 'chi2' - chi sq of sinusoidal fit to lightcurve34. 'redchi2' - reduced chi square of sinusoidal fit to lightcurve35. 'rednullchi2' - reduced chi square of linear fit to lightcurve
36. 'nullchi2' - chi square of linear fit to lightcurve37. 'maxperiod' - maximum period from Lomb-Scargle fit 38. 'linear_slope' - slope of linear fit to lightcurve39. 'linear_intercept' - y-intercept of linear fit to lightcurve40. 'J_mag' - mean J band magnitude41. 'LSratio' - ratio of Lomb-Scargle score of two most promiment peaks in Lomb-Scargle periodogram42. 'chi2ratio' - ratio of reduced chi square of sinusoidal fit and reduced chi square of linear fit to lightcurve 43. 'period_ratio' - ratio of best fit Lomb-Scargle period and maximum Lomb-Scargle period44. 'prob_lpv_sum' - machine-learning classifier LPV score (obtained by summing probability of LPV and type II LPV)Color information:
45. 'w1mpro' - WISE W1 mag46. 'w1sigmpro' - WISE W1 error 47. 'w2mpro' - WISE W2 mag48. 'w2sigmpro' - WISE W2 error 49. 'w3mpro' - WISE W3 mag50. 'w3sigmpro' - WISE W3 error
51. 'w4mpro' - WISE W4 mag52. 'w4sigmpro' - WISE W4 error53. 'j_m' - 2MASS J mag 54. 'j_msigcom' - 2MASS J error55. 'h_m' - 2MASS H mag 56. 'h_msigcom' - 2MASS H error57. 'k_m' - 2MASS K mag
58. 'k_msigcom' - 2MASS K error59. 'J-H' - 2MASS J-H60. 'J-K' - 2MASS J-K
61. 'W1-W2' - WISE W1-W2 62. 'W3-W4' - WISE W3-W4 63. 'W1-W4' - WISE W1-W4