ALeRCE light curve classifier: Tidal disruption event expansion pack

Open Access

Table 3

Top 30 most important features for each branch of the classifier.

Top level		Transient		Stochastic		Periodic

Feature	Rank	Feature	Rank	Feature	Rank	Feature	Rank
W1–W2_0	0.092	mean_distnr_0	0.041	W1–W2_0	0.058	Multiband_period_12	0.066
positive_fraction_2	0.045	sharpnr_0	0.029	sg1–sr1_0	0.051	g–W2_0	0.048
mean_distnr_0	0.042	g–r_max_12	0.028	r–W2_0	0.041	r–W2_0	0.034
W2–W3_0	0.041	chinr_0	0.026	g–W2_0	0.035	sg1–sr1_0	0.033
sharpnr_0	0.040	decay_2	0.025	g–W3_0	0.031	si1–sz1_0	0.031
sgscore1_0	0.040	MHPS_30_2	0.023	r–W3_0	0.031	sr1–si1_0	0.029
LinearTrend_2	0.031	fleet_chi_2	0.022	sharpnr_0	0.030	g–r_mean_12	0.027
positive_fraction_1	0.031	g–r_mean_12	0.018	sr1–si1_0	0.030	g–r_max_corr_12	0.025
r–W3_0	0.031	fleet_chi_1	0.018	sgscore1_0	0.029	g–r_max_12	0.024
r–W2_0	0.026	decay_1	0.015	W2–W3_0	0.029	g–W3_0	0.024
g–W3_0	0.025	SPM_tau_rise_2	0.014	g–r_mean_corr_12	0.027	MHPS_high_1	0.020
fleet_chi_2	0.025	SPM_t0_1	0.014	g–r_max_corr_12	0.024	g–r_mean_corr_12	0.017
SPM_chi_2	0.024	LinearTrend_2	0.013	gal_b_0	0.019	r–W3_0	0.015
chinr_0	0.023	fleet_W_1	0.012	si1–sz1_0	0.018	GP_DRW_sigma_1	0.014
g–W2_0	0.023	fleet_W_2	0.011	g–r_mean_12	0.018	IAR_phi_1	0.014
SPM_chi_1	0.021	MHPS_30_1	0.011	fleet_chi_2	0.017	Std_1	0.013
SPM_tau_rise_1	0.018	g–r_var_12	0.011	Meanvariance_2	0.016	Meanvariance_1	0.013
ExcessVar_2	0.017	g–r_mean_corr_12	0.011	g–r_max_12	0.015	GP_DRW_tau_1	0.013
fleet_chi_1	0.016	SPM_gamma_2	0.010	chinr_0	0.014	Amplitude_1	0.013
SPM_A_2	0.016	SPM_A_2	0.010	MHPS_30_2	0.013	delta_mag_fid_1	0.011
fleet_W_2	0.013	SPM_tau_rise_1	0.009	Amplitude_2	0.012	PercentAmplitude_1	0.009
MHPS_30_1	0.012	SPM_t0_2	0.009	SPM_A_2	0.011	ExcessVar_1	0.009
Pvar_1	0.011	SPM_gamma_1	0.009	GP_DRW_sigma_2	0.011	GP_DRW_tau_2	0.009
fleet_W_1	0.011	sg1–sr1_0	0.008	Std_2	0.011	mean_distnr_0	0.008
LinearTrend_1	0.010	r–W2_0	0.008	ExcessVar_2	0.011	Gskew_1	0.008
SPM_gamma_1	0.010	g–r_max_corr_12	0.008	fleet_chi_1	0.010	IAR_phi_2	0.008
SPM_tau_rise_2	0.010	W2–W3_0	0.008	MHPS_30_1	0.010	SPM_A_1	0.008
ExcessVar_1	0.010	SPM_tau_fall_2	0.008	Pvar_2	0.010	W2–W3_0	0.007
SPM_A_1	0.009	MHPS_high_1	0.008	delta_mag_fid_2	0.010	MHPS_ratio_1	0.007
GP_DRW_sigma_2	0.009	fleet_A_1	0.008	IAR_phi_1	0.009	Autocor_length_1	0.007

Notes. “_1” and “_2” refer to the g and r bands, “_0” refers to features unrelated to ZTF bands, and “_12” refers to features computed using both bands.

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.