Populations¶

An exoplanet Population is designed to be a (hopefully!) relatively easy way to interact with data for a group of exoplanet systems. Here we step through the basics of how we can explore a population of planets, access standardized planet properties, and filter subsets of planet populations.

Getting started¶

The exoatlas package contains the tools we will use, and astropy.units will help us handle unit conversions for calculations.

In [1]:

import exoatlas as ea
import astropy.units as u

ea.version()

import exoatlas as ea import astropy.units as u ea.version()

Out[1]:

'0.6.6'

Create a Population¶

Now, to get started, we'll make a population that contains all confirmed transiting exoplanets. We can read more about the different populations we can create over one the Creating page. When we create this population, the code will download a table of the latest data from the NASA Exoplanet Archive.

In [2]:

pop = ea.TransitingExoplanets()

pop = ea.TransitingExoplanets()

What's inside a Population?¶

The core ingredient to an exoplanet Population is a table of planet properties that have been standardized and populated with astropy units. This pop.table table is an astropy Table, so its contents can be accessed or modified as any other astropy Table. This .table table is created by processing the raw data from the archive, providing slightly more verbose names, and attaching units.

In [3]:

pop.table

pop.table

Out[3]:

QTable length=4424

name	hostname	letter	gaia_id	number_of_stars	number_of_planets	discovery_method	discovery_year	discovery_publication	discovery_facility	ra	dec	pmra	pmdec	systemic_rv_upper_limit	systemic_rv	systemic_rv_uncertainty_upper	systemic_rv_uncertainty_lower	systemic_rv_reference	distance	distance_uncertainty_upper	distance_uncertainty_lower	distance_reference	detected_in_rv	detected_in_pulsar	detected_in_pulsation_timing	detected_in_transit	detected_in_astrometry	detected_in_orbital_brightness_modulations	detected_in_microlensing	detected_in_eclipse_timing_variations	detected_in_imaging	detected_in_disk_kinematics	is_controversial	shows_ttv	stellar_spectral_type	stellar_teff_upper_limit	stellar_teff	stellar_teff_uncertainty_upper	stellar_teff_uncertainty_lower	stellar_teff_reference	stellar_radius	stellar_radius_uncertainty_upper	stellar_radius_uncertainty_lower	stellar_radius_reference	stellar_mass	stellar_mass_uncertainty_upper	stellar_mass_uncertainty_lower	stellar_mass_reference	stellar_age_lower_limit	stellar_age_upper_limit	stellar_age	stellar_age_uncertainty_upper	stellar_age_uncertainty_lower	stellar_age_reference	stellar_metallicity_lower_limit	stellar_metallicity_upper_limit	stellar_metallicity	stellar_metallicity_uncertainty_upper	stellar_metallicity_uncertainty_lower	stellar_metallicity_reference	stellar_luminosity	stellar_luminosity_uncertainty_upper	stellar_luminosity_uncertainty_lower	stellar_luminosity_reference	stellar_logg_lower_limit	stellar_logg	stellar_logg_uncertainty_upper	stellar_logg_uncertainty_lower	stellar_logg_reference	stellar_density	stellar_density_uncertainty_upper	stellar_density_uncertainty_lower	stellar_density_reference	stellar_vsini_lower_limit	stellar_vsini_upper_limit	stellar_vsini	stellar_vsini_uncertainty_upper	stellar_vsini_uncertainty_lower	stellar_vsini_reference	stellar_rotation_period_lower_limit	stellar_rotation_period_upper_limit	stellar_rotation_period	stellar_rotation_period_uncertainty_upper	stellar_rotation_period_uncertainty_lower	stellar_rotation_period_reference	magnitude_u	magnitude_u_uncertainty_upper	magnitude_u_uncertainty_lower	magnitude_u_reference	magnitude_g	magnitude_g_uncertainty_upper	magnitude_g_uncertainty_lower	magnitude_g_reference	magnitude_r	magnitude_r_uncertainty_upper	magnitude_r_uncertainty_lower	magnitude_r_reference	magnitude_i	magnitude_i_uncertainty_upper	magnitude_i_uncertainty_lower	magnitude_i_reference	magnitude_z	magnitude_z_uncertainty_upper	magnitude_z_uncertainty_lower	magnitude_z_reference	magnitude_V	magnitude_V_uncertainty_upper	magnitude_V_uncertainty_lower	magnitude_V_reference	magnitude_B	magnitude_B_uncertainty_upper	magnitude_B_uncertainty_lower	magnitude_B_reference	magnitude_IC	magnitude_IC_uncertainty_upper	magnitude_IC_uncertainty_lower	magnitude_IC_reference	magnitude_J	magnitude_J_uncertainty_upper	magnitude_J_uncertainty_lower	magnitude_J_reference	magnitude_H	magnitude_H_uncertainty_upper	magnitude_H_uncertainty_lower	magnitude_H_reference	magnitude_K	magnitude_K_uncertainty_upper	magnitude_K_uncertainty_lower	magnitude_K_reference	magnitude_W1	magnitude_W1_uncertainty_upper	magnitude_W1_uncertainty_lower	magnitude_W1_reference	magnitude_W2	magnitude_W2_uncertainty_upper	magnitude_W2_uncertainty_lower	magnitude_W2_reference	magnitude_W3	magnitude_W3_uncertainty_upper	magnitude_W3_uncertainty_lower	magnitude_W3_reference	magnitude_W4	magnitude_W4_uncertainty_upper	magnitude_W4_uncertainty_lower	magnitude_W4_reference	magnitude_gaia	magnitude_gaia_uncertainty_upper	magnitude_gaia_uncertainty_lower	magnitude_gaia_reference	magnitude_T	magnitude_T_uncertainty_upper	magnitude_T_uncertainty_lower	magnitude_T_reference	magnitude_kep	magnitude_kep_uncertainty_upper	magnitude_kep_uncertainty_lower	magnitude_kep_reference	period_lower_limit	period_upper_limit	period	period_uncertainty_upper	period_uncertainty_lower	period_reference	semimajoraxis_lower_limit	semimajoraxis	semimajoraxis_uncertainty_upper	semimajoraxis_uncertainty_lower	semimajoraxis_reference	eccentricity_lower_limit	eccentricity_upper_limit	eccentricity	eccentricity_uncertainty_upper	eccentricity_uncertainty_lower	eccentricity_reference	argument_of_periastron	argument_of_periastron_uncertainty_upper	argument_of_periastron_uncertainty_lower	argument_of_periastron_reference	inclination_lower_limit	inclination_upper_limit	inclination	inclination_uncertainty_upper	inclination_uncertainty_lower	inclination_reference	radius_lower_limit	radius	radius_uncertainty_upper	radius_uncertainty_lower	radius_reference	mass_lower_limit	mass_upper_limit	mass	mass_uncertainty_upper	mass_uncertainty_lower	mass_reference	density_lower_limit	density_upper_limit	density	density_uncertainty_upper	density_uncertainty_lower	density_reference	number_of_transmission_measurements	number_of_emission_measurements	transit_midpoint	transit_midpoint_uncertainty_upper	transit_midpoint_uncertainty_lower	transit_midpoint_reference	transit_duration_upper_limit	transit_duration	transit_duration_uncertainty_upper	transit_duration_uncertainty_lower	transit_duration_reference	transit_scaled_radius	transit_scaled_radius_uncertainty_upper	transit_scaled_radius_uncertainty_lower	transit_scaled_radius_reference	transit_depth_lower_limit	transit_depth	transit_depth_uncertainty_upper	transit_depth_uncertainty_lower	transit_depth_reference	transit_scaled_semimajoraxis_lower_limit	transit_scaled_semimajoraxis	transit_scaled_semimajoraxis_uncertainty_upper	transit_scaled_semimajoraxis_uncertainty_lower	transit_scaled_semimajoraxis_reference	transit_impact_parameter_lower_limit	transit_impact_parameter_upper_limit	transit_impact_parameter	transit_impact_parameter_uncertainty_upper	transit_impact_parameter_uncertainty_lower	transit_impact_parameter_reference	rv_semiamplitude_lower_limit	rv_semiamplitude_upper_limit	rv_semiamplitude	rv_semiamplitude_uncertainty_upper	rv_semiamplitude_uncertainty_lower	rv_semiamplitude_reference	msini_lower_limit	msini_upper_limit	msini	msini_uncertainty_upper	msini_uncertainty_lower	msini_reference	projected_obliquity_upper_limit	projected_obliquity	projected_obliquity_uncertainty_upper	projected_obliquity_uncertainty_lower	projected_obliquity_reference	obliquity_lower_limit	obliquity_upper_limit	obliquity	obliquity_uncertainty_upper	obliquity_uncertainty_lower	obliquity_reference	tidyname	tidyhostname
										deg	deg	mas / yr	mas / yr		km / s	km / s	km / s		pc	pc	pc																K	K	K		solRad	solRad	solRad		solMass	solMass	solMass				Gyr	Gyr	Gyr								solLum	solLum	solLum																							mag	mag	mag		mag	mag	mag		mag	mag	mag		mag	mag	mag		mag	mag	mag		mag	mag	mag		mag	mag	mag		mag	mag	mag		mag	mag	mag		mag	mag	mag		mag	mag	mag		mag	mag	mag		mag	mag	mag		mag	mag	mag		mag	mag	mag		mag	mag	mag		mag	mag	mag		mag	mag	mag				d	d	d			AU	AU	AU								deg	deg	deg				deg	deg	deg			earthRad	earthRad	earthRad				earthMass	earthMass	earthMass				g / cm3	g / cm3	g / cm3				d	d	d			h	h	h																								m / s	m / s	m / s				earthMass	earthMass	earthMass			deg	deg	deg				deg	deg	deg
str29	str27	str1	object	int64	int64	str29	int64	str42	str60	float64	float64	float64	float64	float64	float64	float64	float64	str42	float64	float64	float64	str33	int64	int64	int64	int64	int64	int64	int64	int64	int64	int64	int64	int64	object	float64	float64	float64	float64	str42	float64	float64	float64	str42	float64	float64	float64	str42	float64	float64	float64	float64	float64	str44	float64	float64	float64	float64	float64	str42	float64	float64	float64	str44	float64	float64	float64	float64	str42	float64	float64	float64	str34	float64	float64	float64	float64	float64	str42	float64	float64	float64	float64	float64	str42	float64	float64	float64	str33	float64	float64	float64	str33	float64	float64	float64	str33	float64	float64	float64	str33	float64	float64	float64	str33	float64	float64	float64	str36	float64	float64	float64	str36	float64	float64	float64	str33	float64	float64	float64	str33	float64	float64	float64	str33	float64	float64	float64	str33	float64	float64	float64	str33	float64	float64	float64	str33	float64	float64	float64	str33	float64	float64	float64	str33	float64	float64	float64	str33	float64	float64	float64	str33	float64	float64	float64	str33	float64	float64	float64	float64	float64	str42	float64	float64	float64	float64	str42	float64	float64	float64	float64	float64	str42	float64	float64	float64	str42	float64	float64	float64	float64	float64	str42	float64	float64	float64	float64	str42	float64	float64	float64	float64	float64	str42	float64	float64	float64	float64	float64	str42	int64	int64	float64	float64	float64	str42	float64	float64	float64	float64	str42	float64	float64	float64	str44	float64	float64	float64	float64	str42	float64	float64	float64	float64	str42	float64	float64	float64	float64	float64	str42	float64	float64	float64	float64	float64	str42	float64	float64	float64	float64	float64	str44	float64	float64	float64	float64	str44	float64	float64	float64	float64	float64	str25	str24	str22
55 Cnc e	55 Cnc	e	Gaia DR2 704967037090946688	2	5	Radial Velocity	2004	McArthur et al. 2004	McDonald Observatory	133.1468373	28.3298154	-485.872	-233.651	nan	27.40949	8e-05	-8e-05	Bourrier + Hébrard 2014	12.5855	0.0124	-0.0123	TICv8	1	0	0	1	0	0	0	0	0	0	0	0	G8V	nan	5172.0	18.0	-18.0	Bourrier et al. 2018	0.943	0.01	-0.01	Bourrier et al. 2018	0.905	0.015	-0.015	Bourrier et al. 2018	nan	nan	5.5	2.5	-2.5	Marcy et al. 2002	nan	nan	0.35	0.1	-0.1	Bourrier et al. 2018	0.6354040812391201	0.018288399568609694	0.015201317721428378	Knapp et al. 2020	nan	4.43	0.02	-0.02	Bourrier et al. 2018	1.521203	0.007049	-0.007049	Crida et al. 2018	nan	1.23	nan	nan	nan	Bourrier et al. 2018	nan	nan	38.8	0.05	-0.05	Bourrier et al. 2018	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	5.95084	0.023	-0.023	TICv8	6.816	0.019	-0.019	TICv8	nan	nan	nan	TICv8	4.768	0.244	-0.244	TICv8	4.265	0.234	-0.234	TICv8	4.015	0.036	-0.036	TICv8	nan	0.318	nan	Cutri et al. 2014	nan	0.174	nan	Cutri et al. 2014	nan	0.015	nan	Cutri et al. 2014	nan	nan	nan	Cutri et al. 2014	5.72973	0.0008523	-0.0008523	TICv8	5.2058	0.0061	-0.0061	TICv8	nan	nan	nan	TICv8	nan	nan	0.7365474	1.3e-06	-1.4e-06	Bourrier et al. 2018	nan	0.01544	5e-05	-5e-05	Bourrier et al. 2018	nan	nan	0.05	0.03	-0.03	Bourrier et al. 2018	86.0	30.7	-33.4	Bourrier et al. 2018	nan	nan	83.59	0.47	-0.44	Bourrier et al. 2018	nan	1.875	0.029	-0.029	Bourrier et al. 2018	nan	nan	7.99	0.32	-0.33	Bourrier et al. 2018	nan	nan	6.66	0.43	-0.4	Bourrier et al. 2018	4	19	2457063.2096	0.0006	-0.0004	Bourrier et al. 2018	nan	1.5439	0.0027	-0.0026	Zhao et al. 2023	0.0182	0.0002	-0.0002	Bourrier et al. 2018	nan	0.00038467330000000003	4.1906e-06	-4.1906e-06	ExoFOP-TESS TOI	nan	3.52	0.01	-0.01	Bourrier et al. 2018	nan	nan	0.39	0.03	-0.03	Bourrier et al. 2018	nan	nan	6.02	0.24	-0.23	Bourrier et al. 2018	nan	nan	9.3759380065	0.4449597698	-0.4449597698	Rosenthal et al. 2021	nan	72.4	12.7	-11.5	Bourrier + Hébrard 2014	nan	nan	23.0	15.0	-12.0	Zhao et al. 2023	55cnce	55cnc
AU Mic b	AU Mic	b	Gaia DR2 6794047652729201024	1	3	Transit	2020	Plavchan et al. 2020	Transiting Exoplanet Survey Satellite (TESS)	311.2911369	-31.34245	281.424	-359.895	nan	-6.31031	0.28682	-0.28682	Gaia DR2	9.7221	0.004625	-0.004625	TICv8	1	0	0	1	0	0	0	0	0	0	0	1	M1	nan	3678.0	90.0	-88.0	Wittrock et al. 2023	0.744	0.023	-0.021	Wittrock et al. 2023	0.51	0.028	-0.027	Wittrock et al. 2023	nan	nan	0.0201	0.0025	-0.0024	Wittrock et al. 2023	nan	nan	0.23	0.24	-0.3	Wittrock et al. 2023	0.09160095468444289	0.01038776039345075	0.010364559304247104	Wittrock et al. 2023	nan	4.404	0.026	-0.031	Wittrock et al. 2023	1.75	0.14	-0.16	Wittrock et al. 2023	nan	nan	8.5	0.2	-0.2	Donati et al. 2023	nan	nan	4.856	0.003	-0.003	Donati et al. 2023	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	8.81	0.1	-0.1	TICv8	10.209	0.036	-0.036	TICv8	nan	nan	nan	Plavchan et al. 2020	5.436	0.017	-0.017	TICv8	4.831	0.016	-0.016	TICv8	4.529	0.02	-0.02	TICv8	nan	0.277	nan	Cutri et al. 2014	nan	0.166	nan	Cutri et al. 2014	nan	0.014	nan	Cutri et al. 2014	nan	nan	nan	Cutri et al. 2014	7.84038	0.000731	-0.000731	TICv8	6.755	0.032	-0.032	TICv8	nan	nan	nan	TICv8	nan	nan	8.46308	6e-05	-6e-05	Wittrock et al. 2023	nan	0.0649	0.0012	-0.0012	Wittrock et al. 2023	nan	nan	0.00577	0.00101	-0.00101	Wittrock et al. 2023	88.4304	0.0578	-0.0578	Wittrock et al. 2023	nan	nan	89.57917	0.37639	-0.37639	Wittrock et al. 2023	nan	3.95677019	0.14571675	-0.14571675	Wittrock et al. 2023	nan	nan	20.12	1.57	-1.72	Cale et al. 2021	nan	nan	1.32	0.19	-0.2	Cale et al. 2021	0	0	2458525.04109	0.00052	-0.00051	Wittrock et al. 2023	nan	3.4927	0.0074	-0.0067	Wittrock et al. 2023	0.0488	0.001	-0.001	Wittrock et al. 2023	nan	0.002379	0.0001	-9.900000000000001e-05	Wittrock et al. 2023	nan	18.79	0.5	-0.59	Wittrock et al. 2023	nan	nan	0.134	0.096	-0.089	Wittrock et al. 2023	nan	nan	10.23	0.88	-0.91	Cale et al. 2021	nan	57.2094	nan	nan	nan	Plavchan et al. 2020	nan	-4.7	6.8	-6.4	Hirano et al. 2020	nan	nan	nan	nan	nan	--	aumicb	aumic
AU Mic c	AU Mic	c	Gaia DR2 6794047652729201024	1	3	Transit	2021	Martioli et al. 2021	Transiting Exoplanet Survey Satellite (TESS)	311.2911369	-31.34245	281.424	-359.895	nan	-6.31031	0.28682	-0.28682	Gaia DR2	9.7221	0.004625	-0.004625	TICv8	1	0	0	1	0	0	0	0	0	0	0	0	M1	nan	3678.0	90.0	-88.0	Wittrock et al. 2023	0.744	0.023	-0.021	Wittrock et al. 2023	0.51	0.028	-0.027	Wittrock et al. 2023	nan	nan	0.0201	0.0025	-0.0024	Wittrock et al. 2023	nan	nan	0.23	0.24	-0.3	Wittrock et al. 2023	0.09160095468444289	0.01038776039345075	0.010364559304247104	Wittrock et al. 2023	nan	4.404	0.026	-0.031	Wittrock et al. 2023	1.75	0.14	-0.16	Wittrock et al. 2023	nan	nan	8.5	0.2	-0.2	Donati et al. 2023	nan	nan	4.856	0.003	-0.003	Donati et al. 2023	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	8.81	0.1	-0.1	TICv8	10.209	0.036	-0.036	TICv8	nan	nan	nan	Plavchan et al. 2020	5.436	0.017	-0.017	TICv8	4.831	0.016	-0.016	TICv8	4.529	0.02	-0.02	TICv8	nan	0.277	nan	Cutri et al. 2014	nan	0.166	nan	Cutri et al. 2014	nan	0.014	nan	Cutri et al. 2014	nan	nan	nan	Cutri et al. 2014	7.84038	0.000731	-0.000731	TICv8	6.755	0.032	-0.032	TICv8	nan	nan	nan	TICv8	nan	nan	18.85969	8e-05	-8e-05	Wittrock et al. 2023	nan	0.1108	0.002	-0.002	Wittrock et al. 2023	nan	nan	0.00338	0.00164	-0.00164	Wittrock et al. 2023	223.2844	1.6836	-1.6836	Wittrock et al. 2023	nan	nan	89.22655	0.21654	-0.21654	Wittrock et al. 2023	nan	2.52202066	0.24659758	-0.24659758	Wittrock et al. 2023	nan	nan	9.6	2.07	-2.31	Cale et al. 2021	nan	nan	1.22	0.26	-0.29	Cale et al. 2021	0	0	2458342.224	0.0019	-0.0018	Wittrock et al. 2023	nan	4.236	0.029	-0.029	Wittrock et al. 2023	0.0311	0.0028	-0.0028	Wittrock et al. 2023	nan	0.00097	0.00017999999999999998	-0.00017	Wittrock et al. 2023	nan	32.05	0.86	-1.0	Wittrock et al. 2023	nan	nan	0.3	0.13	-0.19	Wittrock et al. 2023	nan	nan	3.68	0.87	-0.86	Cale et al. 2021	nan	nan	nan	nan	nan	--	nan	nan	nan	nan	--	nan	nan	nan	nan	nan	--	aumicc	aumic
BD+05 4868 A b	BD+05 4868 A	b	Gaia DR2 2700378125204437760	2	1	Transit	2025	Hon et al. 2025	Transiting Exoplanet Survey Satellite (TESS)	326.8614036	6.6053185	205.457	106.6	nan	-25.6	0.2	-0.2	Hon et al. 2025	43.5687	0.0975	-0.0971	TICv8	0	0	0	1	0	0	0	0	0	0	0	0	K V	nan	4596.0	65.0	-64.0	Hon et al. 2025	0.69	0.02	-0.02	Hon et al. 2025	0.7	0.02	-0.02	Hon et al. 2025	nan	nan	11.1	1.7	-3.0	Hon et al. 2025	nan	nan	-0.05	0.08	-0.05	Hon et al. 2025	0.19199945679542882	0.0049337811718140135	0.005066409697938046	Hon et al. 2025	nan	4.6	0.03	-0.02	Hon et al. 2025	2.994175	0.94744	-0.701929	TICv8	nan	3.0	nan	nan	nan	Hon et al. 2025	nan	nan	nan	nan	nan	--	15.6057	0.0093455	-0.0093455	TICv8	10.9218	0.0005589	-0.0005589	TICv8	9.76663	0.0004225	-0.0004225	TICv8	9.4008	0.0008059	-0.0008059	TICv8	12.014	0.0091291	-0.0091291	TICv8	10.158	0.01	-0.01	TICv8	11.212	0.0714143	-0.0714143	TICv8	nan	nan	nan	TICv8	8.113	0.027	-0.027	TICv8	7.567	0.034	-0.034	TICv8	7.448	0.026	-0.026	TICv8	7.225	0.035	-0.035	TICv8	7.339	0.02	-0.02	TICv8	7.284	0.017	-0.017	TICv8	7.247	0.14	-0.14	TICv8	9.84152	0.000476	-0.000476	TICv8	9.1886	0.006	-0.006	TICv8	nan	nan	nan	TICv8	nan	nan	1.271869	1e-06	-1e-06	Hon et al. 2025	nan	0.0208	0.0003	-0.0003	Hon et al. 2025	nan	nan	nan	nan	nan	--	nan	nan	nan	--	nan	nan	nan	nan	nan	--	nan	nan	nan	nan	--	nan	6.2	nan	nan	nan	Hon et al. 2025	nan	nan	nan	nan	nan	--	0	0	2460556.2892	0.0003	-0.0003	Hon et al. 2025	nan	nan	nan	nan	--	nan	nan	nan	--	nan	0.013999999999999999	0.006	-0.006	Hon et al. 2025	nan	6.4	0.2	-0.2	Hon et al. 2025	nan	nan	nan	nan	nan	--	nan	4.5	nan	nan	nan	Hon et al. 2025	nan	nan	nan	nan	nan	--	nan	nan	nan	nan	--	nan	nan	nan	nan	nan	--	bd054868ab	bd054868a
BD+20 594 b	BD+20 594	b	Gaia DR2 58200934326315136	1	1	Transit	2016	Espinoza et al. 2016	K2	53.6511231	20.5990205	36.5714	-51.3647	nan	-20.33638	0.00073	-0.00073	Espinoza et al. 2016	179.461	1.257	-1.24	TICv8	1	0	0	1	0	0	0	0	0	0	0	0	G	nan	5766.0	99.0	-99.0	Stassun et al. 2017	1.08	0.06	-0.06	Stassun et al. 2017	1.67	0.4	-0.4	Stassun et al. 2017	nan	nan	3.34	1.95	-1.49	Espinoza et al. 2016	nan	nan	nan	nan	nan	Stassun et al. 2017	0.8799945855058902	0.13849503603116636	0.12901212793130012	Espinoza et al. 2016	nan	4.5	0.08	-0.08	Stassun et al. 2017	1.89	0.34	-0.34	Stassun et al. 2017	nan	nan	3.3	0.31	-0.31	Espinoza et al. 2016	nan	nan	nan	nan	nan	--	nan	nan	nan	TICv8	nan	0.039	nan	Espinoza et al. 2016	nan	0.05	nan	Espinoza et al. 2016	nan	0.54	nan	Espinoza et al. 2016	nan	nan	nan	TICv8	10.849	0.012	-0.012	TICv8	11.765	0.161	-0.161	TICv8	nan	nan	nan	TICv8	9.770001	0.022	-0.022	TICv8	9.432	0.022	-0.022	TICv8	9.368	0.018	-0.018	TICv8	9.31	0.024	-0.024	TICv8	9.344	0.02	-0.02	TICv8	9.332	0.038	-0.038	TICv8	8.976	0.527	-0.527	TICv8	10.8644	0.000249	-0.000249	TICv8	10.4021	0.006	-0.006	TICv8	nan	nan	nan	TICv8	nan	nan	41.6855	0.003	-0.003	Stassun et al. 2017	nan	0.241	0.019	-0.017	Espinoza et al. 2016	nan	nan	nan	nan	nan	Stassun et al. 2017	nan	nan	nan	--	nan	nan	89.55	0.16	-0.16	Stassun et al. 2017	nan	2.57807	0.11209	-0.11209	Stassun et al. 2017	nan	nan	22.2481	9.5349	-9.5349	Stassun et al. 2017	nan	nan	7.89	3.4	-3.1	Espinoza et al. 2016	0	0	2457068.52877	0.002801	-0.002798	Mayo et al. 2018	nan	nan	nan	nan	--	0.02204	0.00058	-0.00057	Espinoza et al. 2016	nan	0.00049	2.5e-05	-2.5e-05	Stassun et al. 2017	nan	55.8	3.3	-3.3	Stassun et al. 2017	nan	nan	nan	nan	nan	--	nan	nan	3.1	1.1	-1.1	Stassun et al. 2017	nan	nan	nan	nan	nan	--	nan	nan	nan	nan	--	nan	nan	nan	nan	nan	--	bd20594b	bd20594
BD-14 3065 b	BD-14 3065 A	b	Gaia DR2 3751877374435102720	3	1	Transit	2024	Šubjak et al. 2024	Transiting Exoplanet Survey Satellite (TESS)	153.6696689	-15.6428372	-5.60772	7.07846	nan	nan	nan	nan	--	589.423	16.599	-15.729	TICv8	1	0	0	1	0	0	0	0	0	0	0	0	None	nan	6935.0	90.0	-90.0	Šubjak et al. 2024	2.35	0.08	-0.08	Šubjak et al. 2024	1.41	0.05	-0.05	Šubjak et al. 2024	nan	nan	2.24	0.26	-0.26	Šubjak et al. 2024	nan	nan	-0.34	0.05	-0.05	Šubjak et al. 2024	11.481536214968829	0.7931164239977552	0.7931164239977552	Šubjak et al. 2024	nan	3.85	0.03	-0.03	Šubjak et al. 2024	0.223	0.013	-0.014	Šubjak et al. 2024	nan	nan	22.0	3.0	-3.0	Šubjak et al. 2024	nan	nan	4.3	0.2	-0.2	Šubjak et al. 2024	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	11.1	0.013	-0.013	TICv8	11.484	0.18	-0.18	TICv8	nan	nan	nan	TICv8	10.143	0.026	-0.026	TICv8	9.975	0.026	-0.026	TICv8	9.932	0.026	-0.026	TICv8	9.842	0.023	-0.023	TICv8	9.866	0.02	-0.02	TICv8	9.852	0.049	-0.049	TICv8	9.062	0.536	-0.536	TICv8	10.91	0.001617	-0.001617	TICv8	10.6311	0.0081	-0.0081	TICv8	nan	nan	nan	TICv8	nan	nan	4.2889731	5.2e-06	-5.2e-06	Šubjak et al. 2024	nan	0.0656	0.0026	-0.0026	Šubjak et al. 2024	nan	nan	0.066	0.0098	-0.011	Šubjak et al. 2024	54.0	6.0	-9.1	Šubjak et al. 2024	nan	nan	80.78	0.24	-0.3	Šubjak et al. 2024	nan	21.59	1.05	-1.05	Šubjak et al. 2024	nan	nan	3932.0	290.0	-280.0	Šubjak et al. 2024	nan	nan	2.15	0.53	-0.48	Šubjak et al. 2024	0	0	2459313.48578	0.00076	-0.00076	Šubjak et al. 2024	nan	3.086	0.041	-0.041	Šubjak et al. 2024	0.0843	0.0023	-0.0022	Šubjak et al. 2024	nan	0.00649	0.00023	-0.0002	Šubjak et al. 2024	nan	6.01	0.12	-0.13	Šubjak et al. 2024	nan	nan	0.9099	0.0092	-0.0079	Šubjak et al. 2024	nan	nan	1210.0	71.0	-71.0	Šubjak et al. 2024	nan	nan	nan	nan	nan	--	nan	nan	nan	nan	--	nan	nan	nan	nan	nan	--	bd143065b	bd143065a
CoRoT-1 b	CoRoT-1	b	Gaia DR2 3105507886130792448	1	1	Transit	2008	Barge et al. 2008	CoRoT	102.0798591	-3.1021394	-6.01462	0.54713	nan	23.354	0.008	-0.008	Barge et al. 2008	787.909	23.491	-23.491	TICv8	1	0	0	1	0	1	0	0	0	0	0	0	G0 V	nan	5950.0	150.0	-150.0	Barge et al. 2008	1.11	0.05	-0.05	Barge et al. 2008	0.95	0.15	-0.15	Barge et al. 2008	nan	nan	1.6	0.5	-0.5	Bonomo et al. 2017	nan	nan	-0.3	0.25	-0.25	Barge et al. 2008	1.9857748224761653	0.13392605012025915	0.14361957098932537	Gaia DR2	nan	4.25	0.3	-0.3	Barge et al. 2008	0.93	0.027	-0.027	Southworth 2011	nan	nan	5.2	1.0	-1.0	Barge et al. 2008	nan	nan	nan	nan	nan	--	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	13.623	0.114	-0.114	TICv8	14.158	0.053	-0.053	TICv8	nan	nan	nan	TICv8	12.462	0.029	-0.029	TICv8	12.218	0.026	-0.026	TICv8	12.149	0.027	-0.027	TICv8	12.098	0.023	-0.023	TICv8	12.136	0.023	-0.023	TICv8	12.29	0.338	-0.338	TICv8	nan	nan	nan	TICv8	13.457	0.000477	-0.000477	TICv8	13.0501	0.0165	-0.0165	TICv8	nan	nan	nan	TICv8	nan	nan	1.5089557	6.4e-06	-6.4e-06	Barge et al. 2008	nan	0.02752	0.00022	-0.00023	Bonomo et al. 2017	nan	nan	nan	nan	nan	Barge et al. 2008	nan	nan	nan	--	nan	nan	85.1	0.5	-0.5	Barge et al. 2008	nan	16.7	0.9	-0.9	Barge et al. 2008	nan	nan	327.35	38.14	-38.14	Barge et al. 2008	nan	nan	0.38	0.05	-0.05	Barge et al. 2008	6	7	2454159.4532	0.0001	-0.0001	Barge et al. 2008	nan	2.373	0.245	-0.245	ExoFOP-TESS TOI	0.1388	0.0021	-0.0021	Barge et al. 2008	nan	0.0192654	0.00058737	-0.0005785520000000001	Barge et al. 2008	nan	4.92	0.08	-0.08	Barge et al. 2008	nan	nan	0.35	0.08	-0.08	Pont et al. 2010	nan	nan	188.0	11.0	-11.0	Barge et al. 2008	nan	nan	nan	nan	nan	--	nan	77.0	11.0	-11.0	Pont et al. 2010	nan	nan	nan	nan	nan	--	corot1b	corot1
CoRoT-10 b	CoRoT-10	b	Gaia DR2 4263752921128319616	1	1	Transit	2010	Bonomo et al. 2010	CoRoT	291.0636813	0.7460143	-3.19635	-22.735	nan	15.33	0.007	-0.007	Bonomo et al. 2010	338.386	3.9865	-3.9865	TICv8	1	0	0	1	0	0	0	0	0	0	0	0	K1 V	nan	5075.0	75.0	-75.0	Bonomo et al. 2010	0.79	0.05	-0.05	Bonomo et al. 2010	0.89	0.05	-0.05	Bonomo et al. 2010	nan	3.0	nan	nan	nan	Bonomo et al. 2010	nan	nan	0.26	0.07	-0.07	Bonomo et al. 2010	0.18789706657349484	0.005139869935972136	0.005282644100860251	Gaia DR2	nan	4.65	0.1	-0.1	Bonomo et al. 2010	3.32	0.7	-0.7	Bonomo et al. 2010	nan	nan	2.0	0.5	-0.5	Bonomo et al. 2010	nan	nan	nan	nan	nan	--	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	0.03	nan	Bonomo et al. 2010	nan	0.03	nan	Bonomo et al. 2010	nan	nan	nan	TICv8	15.293	0.137	-0.137	TICv8	17.344	0.166	-0.166	TICv8	nan	nan	nan	TICv8	12.527	0.025	-0.025	TICv8	11.929	0.028	-0.028	TICv8	11.782	0.021	-0.021	TICv8	11.64	0.022	-0.022	TICv8	11.752	0.023	-0.023	TICv8	11.396	0.213	-0.213	TICv8	nan	nan	nan	TICv8	14.6645	0.000329	-0.000329	TICv8	13.8215	0.006	-0.006	TICv8	nan	nan	nan	TICv8	nan	nan	13.2406	0.0002	-0.0002	Bonomo et al. 2010	nan	0.1055	0.0021	-0.0021	Bonomo et al. 2010	nan	nan	0.53	0.04	-0.04	Bonomo et al. 2010	218.9	6.4	-6.4	Bonomo et al. 2010	nan	nan	88.55	0.2	-0.2	Bonomo et al. 2010	nan	10.87	0.78	-0.78	Bonomo et al. 2010	nan	nan	874.0	50.85	-50.85	Bonomo et al. 2010	nan	nan	3.7	0.83	-0.83	Bonomo et al. 2010	0	0	2454273.3436	0.0012	-0.0012	Bonomo et al. 2010	nan	2.98	0.06	-0.06	Bonomo et al. 2010	0.1269	0.0038	-0.0038	Bonomo et al. 2010	nan	0.0161036	0.000978881	-0.000949999	Bonomo et al. 2010	nan	31.33	2.15	-2.15	Bonomo et al. 2010	nan	nan	0.85	0.03	-0.03	Bonomo et al. 2010	nan	nan	301.0	10.0	-10.0	Bonomo et al. 2010	nan	nan	nan	nan	nan	--	nan	nan	nan	nan	--	nan	nan	nan	nan	nan	--	corot10b	corot10
CoRoT-11 b	CoRoT-11	b	Gaia DR2 4285511294172309504	1	1	Transit	2010	Gandolfi et al. 2010	CoRoT	280.6872998	5.9376586	1.91873	-5.24175	nan	-1.342	0.041	-0.041	Gandolfi et al. 2012	655.037	24.947	-23.209	TICv8	1	0	0	1	0	0	0	0	0	0	0	0	F6 V	nan	6440.0	120.0	-120.0	Gandolfi et al. 2010	1.37	0.03	-0.03	Gandolfi et al. 2010	1.27	0.05	-0.05	Gandolfi et al. 2010	nan	nan	2.0	1.0	-1.0	Gandolfi et al. 2010	nan	nan	-0.03	0.08	-0.08	Gandolfi et al. 2010	2.385228555525889	0.12461783002101087	0.1315379915823363	Gaia DR2	nan	4.22	0.23	-0.23	Gandolfi et al. 2010	0.69	0.02	-0.02	Gandolfi et al. 2010	nan	nan	40.0	5.0	-5.0	Gandolfi et al. 2010	nan	nan	nan	nan	nan	--	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	0.019	nan	Gandolfi et al. 2010	nan	0.053	nan	Gandolfi et al. 2010	nan	nan	nan	TICv8	12.897	0.114	-0.114	TICv8	13.529	0.029	-0.029	TICv8	nan	nan	nan	TICv8	11.589	0.021	-0.021	TICv8	11.416	0.029	-0.029	TICv8	11.248	0.022	-0.022	TICv8	11.173	0.022	-0.022	TICv8	11.265	0.021	-0.021	TICv8	11.47	0.206	-0.206	TICv8	nan	nan	nan	TICv8	12.841	0.000336	-0.000336	TICv8	12.419	0.0216	-0.0216	TICv8	nan	nan	nan	TICv8	nan	nan	2.99433	1.1e-05	-1.1e-05	Gandolfi et al. 2010	nan	0.0436	0.005	-0.005	Gandolfi et al. 2010	nan	nan	nan	nan	nan	Gandolfi et al. 2010	nan	nan	nan	--	nan	nan	83.17	0.15	-0.15	Gandolfi et al. 2010	nan	16.03	0.34	-0.34	Gandolfi et al. 2010	nan	nan	740.51	108.06	-108.06	Gandolfi et al. 2010	nan	nan	0.99	0.15	-0.15	Gandolfi et al. 2010	0	0	2454597.679	0.0003	-0.0003	Gandolfi et al. 2010	nan	2.5009	0.0144	-0.0144	Gandolfi et al. 2010	0.107	0.0005	-0.0005	Gandolfi et al. 2010	nan	0.011449	0.00010725	-0.00010675	Gandolfi et al. 2010	nan	6.89	0.08	-0.08	Gandolfi et al. 2010	nan	nan	0.818	0.008	-0.008	Gandolfi et al. 2010	nan	nan	280.0	40.0	-40.0	Gandolfi et al. 2010	nan	nan	nan	nan	nan	--	nan	0.1	2.6	-2.6	Gandolfi et al. 2012	nan	nan	nan	nan	nan	--	corot11b	corot11
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XO-2 N b	XO-2 N	b	Gaia DR2 934346809278715776	2	3	Transit	2007	Burke et al. 2007	XO	117.0267691	50.2251472	-29.7313	-154.272	nan	46.9329	0.0017	-0.0017	Damasso et al. 2015	154.273	1.459	-1.433	TICv8	1	0	0	1	0	0	0	0	0	0	0	0	K0 V	nan	5340.0	32.0	-32.0	Yalçınkaya et al. 2024	0.99	0.009	-0.009	Crouzet et al. 2012	nan	nan	nan	Crouzet et al. 2012	nan	nan	7.8	1.2	-1.3	Bonomo et al. 2017	nan	nan	0.43	0.05	-0.05	Bonomo et al. 2017	0.8161500282610129	0.040253639716392633	0.02726798843533413	Baluev et al. 2015	nan	4.433	0.008	-0.008	Crouzet et al. 2012	1.41	0.04	-0.039	Crouzet et al. 2012	nan	nan	1.07	0.09	-0.09	Bonomo et al. 2017	nan	nan	28.6	1.3	-1.3	Bonomo et al. 2017	14.9353	0.0067085	-0.0067085	TICv8	14.8008	0.0100065	-0.0100065	TICv8	14.4984	0.0114432	-0.0114432	TICv8	10.8006	0.0004149	-0.0004149	TICv8	13.0957	0.0152614	-0.0152614	TICv8	11.246	0.011	-0.011	TICv8	11.947	0.161	-0.161	TICv8	nan	0.012	nan	Damasso et al. 2015	9.744	0.022	-0.022	TICv8	9.34	0.026	-0.026	TICv8	9.308	0.021	-0.021	TICv8	9.24	0.022	-0.022	TICv8	9.31	0.019	-0.019	TICv8	9.236	0.038	-0.038	TICv8	8.833	0.443	-0.443	TICv8	10.9718	0.000514	-0.000514	TICv8	10.4467	0.0061	-0.0061	TICv8	nan	nan	nan	TICv8	nan	nan	nan	nan	nan	Crouzet et al. 2012	nan	nan	nan	nan	Crouzet et al. 2012	nan	nan	0.028	0.038	-0.022	Knutson et al. 2014	261.0	11.0	-71.0	Knutson et al. 2014	nan	nan	88.01	0.33	-0.28	Crouzet et al. 2012	nan	11.130537	0.134508	-0.134508	Crouzet et al. 2012	nan	nan	179.89178	7.94575	-7.94575	Crouzet et al. 2012	nan	nan	0.715	0.041	-0.04	Crouzet et al. 2012	5	1	2454508.73829	0.00014	-0.00016	Crouzet et al. 2012	nan	2.6839	0.0066	-0.0077	Crouzet et al. 2012	0.10304	0.00037	-0.00037	Crouzet et al. 2012	nan	0.013363	0.000135919	-0.000135919	ExoFOP-TESS TOI	nan	7.986	0.074	-0.073	Crouzet et al. 2012	nan	nan	0.28	0.036	-0.044	Crouzet et al. 2012	nan	nan	90.17	0.82	-0.82	Bonomo et al. 2017	nan	nan	nan	nan	nan	--	nan	7.0	11.0	-11.0	Damasso et al. 2015	nan	nan	27.0	12.0	-27.0	Damasso et al. 2015	xo2nb	xo2n
XO-3 b	XO-3	b	Gaia DR2 470650560777348352	1	1	Transit	2007	Johns-Krull et al. 2008	XO	65.4695814	57.8172095	-2.51565	4.00264	nan	-12.03	0.007	-0.007	Garai et al. 2017	213.053	2.724	-2.658	TICv8	1	0	0	1	0	0	0	0	0	0	0	0	F5V	nan	6429.0	50.0	-50.0	Stassun et al. 2017	1.54	0.11	-0.11	Stassun et al. 2017	0.58	0.14	-0.14	Stassun et al. 2017	nan	nan	2.82	0.58	-0.82	Bonomo et al. 2017	nan	nan	nan	nan	nan	Stassun et al. 2017	5.083115757753529	0.9883116467510756	0.7379565292237721	Wong et al. 2014	nan	3.95	0.06	-0.06	Stassun et al. 2017	0.22	0.02	-0.02	Stassun et al. 2017	nan	nan	18.54	0.17	-0.17	Kokori et al. 2023	nan	nan	nan	nan	nan	--	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	9.854	0.004	-0.004	TICv8	10.274	0.054	-0.054	TICv8	nan	nan	nan	TICv8	9.013	0.029	-0.029	TICv8	8.845	0.018	-0.018	TICv8	8.791	0.019	-0.019	TICv8	8.754	0.023	-0.023	TICv8	8.765	0.02	-0.02	TICv8	8.736	0.025	-0.025	TICv8	8.372	0.284	-0.284	TICv8	9.73889	0.000258	-0.000258	TICv8	9.441	0.006	-0.006	TICv8	nan	nan	nan	TICv8	nan	nan	3.19154	0.00014	-0.00014	Stassun et al. 2017	nan	0.0476	0.0005	-0.0005	Johns-Krull et al. 2008	nan	nan	0.29	0.0	0.0	Stassun et al. 2017	349.35	0.67	-0.68	Bonomo et al. 2017	nan	nan	79.32	1.36	-1.36	Stassun et al. 2017	nan	15.80469	1.34508	-1.34508	Stassun et al. 2017	nan	nan	2316.9807	378.2177	-378.2177	Stassun et al. 2017	nan	nan	8.09	0.89	-0.89	Southworth 2010	0	3	2457417.98678	0.00013	-0.00013	Kokori et al. 2023	nan	2.5032	0.024	-0.0192	Tsantaki et al. 2014	0.08825	0.00037	-0.00037	Wong et al. 2014	nan	0.0089	0.00078	-0.00078	Stassun et al. 2017	nan	4.95	0.18	-0.18	Stassun et al. 2017	nan	nan	0.696	0.028	-0.033	Patel + Espinoza 2022	nan	nan	1488.0	10.0	-10.0	Stassun et al. 2017	nan	nan	4138.12585914	203.41018048	-203.41018048	Johns-Krull et al. 2008	nan	37.3	3.7	-3.7	Winn et al. 2009	nan	nan	nan	nan	nan	--	xo3b	xo3
XO-4 b	XO-4	b	Gaia DR2 990291507088739072	1	1	Transit	2010	Southworth 2010	Lowell Observatory	110.3880285	58.2681094	-16.9894	5.31035	nan	1.63576	0.52851	-0.52851	Gaia DR2	272.655	2.914	-2.855	TICv8	1	0	0	1	0	0	0	0	0	0	0	0	F5 V	nan	6397.0	70.0	-70.0	Stassun et al. 2017	1.45	0.09	-0.09	Stassun et al. 2017	1.1	0.22	-0.22	Stassun et al. 2017	nan	nan	2.1	0.6	-0.6	Kokori et al. 2023	nan	nan	nan	nan	nan	Stassun et al. 2017	3.4322585851325806	0.053266674636098764	0.05413601205597574	Gaia DR2	nan	4.18	0.03	-0.03	Stassun et al. 2017	0.5	0.02	-0.02	Stassun et al. 2017	nan	nan	8.8	0.5	-0.5	Bonomo et al. 2017	nan	nan	nan	nan	nan	--	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	10.814	0.008	-0.008	TICv8	11.149	0.111	-0.111	TICv8	nan	nan	nan	TICv8	9.667	0.021	-0.021	TICv8	9.476	0.022	-0.022	TICv8	9.406	0.023	-0.023	TICv8	9.373	0.022	-0.022	TICv8	9.398	0.021	-0.021	TICv8	9.378	0.04	-0.04	TICv8	nan	nan	nan	TICv8	10.5131	0.000383	-0.000383	TICv8	10.1653	0.0061	-0.0061	TICv8	nan	nan	nan	TICv8	nan	nan	4.12508	4e-06	-4e-06	Stassun et al. 2017	nan	0.05524	0.00027	-0.00028	Bonomo et al. 2017	nan	nan	nan	nan	nan	Stassun et al. 2017	240.0	39.0	-160.0	Knutson et al. 2014	nan	nan	88.8	0.6	-0.6	Stassun et al. 2017	nan	14.01125	0.89672	-0.89672	Stassun et al. 2017	nan	nan	451.3186	60.3877	-60.3877	Stassun et al. 2017	nan	nan	0.83	0.1	-0.088	Bonomo et al. 2017	0	1	2456878.47303	0.00023	-0.00023	Kokori et al. 2023	nan	4.454	0.056	-0.056	ExoFOP-TESS TOI	0.0881	0.0007	-0.0007	Kokori et al. 2023	nan	0.0078000000000000005	0.00012	-0.00012	Stassun et al. 2017	nan	7.68	0.11	-0.11	Stassun et al. 2017	nan	nan	nan	nan	nan	--	nan	nan	168.6	6.2	-6.2	Stassun et al. 2017	nan	nan	nan	nan	nan	--	nan	-46.7	8.1	-6.1	Narita et al. 2010	nan	nan	nan	nan	nan	--	xo4b	xo4
XO-5 b	XO-5	b	Gaia DR2 920308932010648448	1	1	Transit	2008	Burke et al. 2008	XO	116.7163868	39.0944695	-21.5254	-23.9055	nan	-9.84207	1.51936	-1.51936	Gaia DR2	276.211	3.919	-3.812	TICv8	1	0	0	1	0	0	0	0	0	0	0	0	G8 V	nan	5430.0	70.0	-70.0	Smith 2015	1.13	0.03	-0.03	Smith 2015	1.04	0.03	-0.03	Smith 2015	nan	nan	8.5	0.8	-0.8	Kokori et al. 2023	nan	nan	0.05	0.06	-0.06	Smith 2015	0.8709635899560807	0.08021871115093801	0.08021871115093801	Ment et al. 2018	nan	4.35	0.02	-0.02	Smith 2015	1.01	0.06	-0.06	Smith 2015	nan	nan	1.8	0.5	-0.5	Kokori et al. 2023	nan	nan	nan	nan	nan	--	15.3529	0.0075771	-0.0075771	TICv8	15.008	0.0116719	-0.0116719	TICv8	11.9889	0.000865	-0.000865	TICv8	11.8207	0.0008332	-0.0008332	TICv8	13.6561	0.016259	-0.016259	TICv8	12.198	0.092	-0.092	TICv8	12.899	0.056	-0.056	TICv8	nan	nan	nan	TICv8	10.774	0.019	-0.019	TICv8	10.443	0.021	-0.021	TICv8	10.345	0.018	-0.018	TICv8	10.333	0.024	-0.024	TICv8	10.381	0.02	-0.02	TICv8	10.292	0.067	-0.067	TICv8	nan	nan	nan	TICv8	11.9498	0.000237	-0.000237	TICv8	11.4556	0.0061	-0.0061	TICv8	nan	nan	nan	TICv8	nan	nan	4.1877558	6e-07	-6e-07	Smith 2015	nan	0.0515	0.0005	-0.0005	Smith 2015	nan	nan	nan	nan	nan	Smith 2015	331.01	0.72	-0.72	Ment et al. 2018	nan	nan	86.8	0.2	-0.2	Smith 2015	nan	12.78	0.34	-0.34	Smith 2015	nan	nan	378.2	9.53	-9.53	Smith 2015	nan	nan	1.06	0.08	-0.08	Smith 2015	0	0	2456864.3129	0.0002	-0.0002	Smith 2015	nan	3.1176	0.0168	-0.0168	Smith 2015	0.1039	0.0007	-0.0007	Smith 2015	nan	0.0108	0.0001	-0.0001	Smith 2015	nan	9.85	0.03	-0.03	Kokori et al. 2023	nan	nan	0.55	0.03	-0.03	Smith 2015	nan	nan	146.0	3.0	-3.0	Smith 2015	nan	nan	331.81452	10.80622	-10.80622	Ment et al. 2018	nan	nan	nan	nan	--	nan	nan	nan	nan	nan	--	xo5b	xo5
XO-6 b	XO-6	b	Gaia DR2 1114308481600798336	1	1	Transit	2016	Crouzet et al. 2017	XO	94.7929552	73.8275672	-16.6426	-22.5927	nan	-1.58475	1.14501	-1.14501	Gaia DR2	235.479	2.443	-2.393	TICv8	1	0	0	1	0	0	0	0	0	0	0	0	F5	nan	6720.0	100.0	-100.0	Crouzet et al. 2017	1.93	0.18	-0.18	Crouzet et al. 2017	1.47	0.06	-0.06	Crouzet et al. 2017	nan	nan	1.88	0.9	-0.2	Crouzet et al. 2017	nan	nan	-0.07	0.1	-0.1	Crouzet et al. 2017	3.436687157499013	0.05001183238665306	0.050724026202285784	Gaia DR2	nan	4.04	0.1	-0.1	Crouzet et al. 2017	1.0	0.056	-0.056	Crouzet et al. 2017	nan	nan	48.0	3.0	-3.0	Crouzet et al. 2017	nan	nan	nan	nan	nan	--	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	10.247	0.004	-0.004	TICv8	10.678	0.056	-0.056	TICv8	nan	nan	nan	TICv8	9.471	0.02	-0.02	TICv8	9.266	0.017	-0.017	TICv8	9.246	0.02	-0.02	TICv8	9.213	0.023	-0.023	TICv8	9.232	0.021	-0.021	TICv8	9.34	0.037	-0.037	TICv8	nan	nan	nan	TICv8	10.191	0.000329	-0.000329	TICv8	9.88278	0.006	-0.006	TICv8	nan	nan	nan	TICv8	nan	nan	3.7650007	8.1e-06	-8.1e-06	Crouzet et al. 2017	nan	0.0815	0.0077	-0.0077	Crouzet et al. 2017	nan	nan	nan	nan	nan	Crouzet et al. 2017	nan	nan	nan	--	nan	nan	86.0	0.2	-0.2	Crouzet et al. 2017	nan	23.20263	2.46598	-2.46598	Crouzet et al. 2017	nan	1398.452	nan	nan	nan	Crouzet et al. 2017	nan	0.62	nan	nan	nan	Crouzet et al. 2017	0	0	2456652.71245	0.00055	-0.00055	Crouzet et al. 2017	nan	2.9	0.1	-0.1	Crouzet et al. 2017	0.11	0.006	-0.006	Crouzet et al. 2017	nan	0.014735	7.2808e-05	-7.2808e-05	ExoFOP-TESS TOI	nan	9.08	0.17	-0.17	Crouzet et al. 2017	nan	nan	0.633	0.034	-0.034	Crouzet et al. 2017	nan	450.0	nan	nan	nan	Crouzet et al. 2017	nan	nan	nan	nan	nan	--	nan	-20.7	2.3	-2.3	Crouzet et al. 2017	nan	nan	nan	nan	nan	--	xo6b	xo6
XO-7 b	XO-7	b	Gaia DR2 2303332931542914048	1	1	Transit	2019	Crouzet et al. 2020	XO	277.4780753	85.2333208	-15.3542	24.4608	nan	-12.983	0.015	-0.015	Crouzet et al. 2020	234.149	1.194	-1.181	TICv8	1	0	0	1	0	0	0	0	0	0	0	0	G0 V	nan	6250.0	100.0	-100.0	Crouzet et al. 2020	1.48	0.022	-0.022	Crouzet et al. 2020	1.405	0.059	-0.059	Crouzet et al. 2020	nan	nan	1.18	0.98	-0.71	Crouzet et al. 2020	nan	nan	0.432	0.057	-0.057	Crouzet et al. 2020	2.699727932818183	0.02467892257418971	0.02492757670591958	Gaia DR2	nan	4.246	0.023	-0.023	Crouzet et al. 2020	0.451084	0.10508	-0.093724	TICv8	nan	nan	6.0	1.0	-1.0	Crouzet et al. 2020	nan	nan	3.62	0.12	-0.12	Knudstrup et al. 2024	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	10.521	0.006	-0.006	TICv8	11.229	0.087	-0.087	TICv8	nan	nan	nan	TICv8	9.557	0.024	-0.024	TICv8	9.308	0.03	-0.03	TICv8	9.241	0.024	-0.024	TICv8	9.16	0.023	-0.023	TICv8	9.192	0.02	-0.02	TICv8	9.109	0.026	-0.026	TICv8	9.215	0.444	-0.444	TICv8	10.4575	0.000449	-0.000449	TICv8	10.0521	0.0061	-0.0061	TICv8	nan	nan	nan	TICv8	nan	nan	2.8641424	4.3e-06	-4.3e-06	Crouzet et al. 2020	nan	0.04421	0.00062	-0.00062	Crouzet et al. 2020	nan	nan	0.038	0.033	-0.033	Crouzet et al. 2020	nan	nan	nan	--	nan	nan	83.45	0.29	-0.29	Crouzet et al. 2020	nan	15.389957	0.291434	-0.291434	Crouzet et al. 2020	nan	nan	225.34147	10.80622	-10.80622	Crouzet et al. 2020	nan	nan	0.34	0.027	-0.027	Crouzet et al. 2020	0	0	2457917.47503	0.00045	-0.00045	Crouzet et al. 2020	nan	2.772	0.0336	-0.0336	Crouzet et al. 2020	0.09532	0.00093	-0.00093	Crouzet et al. 2020	nan	0.00909	0.00017999999999999998	-0.00017999999999999998	Crouzet et al. 2020	nan	6.43	0.14	-0.14	Crouzet et al. 2020	nan	nan	0.709	0.023	-0.023	Crouzet et al. 2020	nan	nan	80.5	3.2	-3.2	Crouzet et al. 2020	nan	nan	nan	nan	nan	--	nan	0.0	20.0	-14.0	Knudstrup et al. 2024	nan	nan	70.0	1.7	-1.7	Knudstrup et al. 2024	xo7b	xo7
ZTF J1230-2655 b	ZTF J1230-2655	b	Gaia DR2 3475360576690175616	1	1	Transit	2025	Parsons et al. 2025	Zwicky Transient Facility	187.5689308	-26.9309608	-42.1958	-7.67328	nan	nan	nan	nan	--	186.69	15.112	-13.034	TICv8	0	0	0	1	0	0	0	0	0	0	0	0	None	nan	10000.0	110.0	-110.0	Parsons et al. 2025	0.0123	0.0002	-0.0002	Parsons et al. 2025	0.646	0.017	-0.017	Parsons et al. 2025	nan	nan	nan	nan	nan	--	nan	nan	nan	nan	nan	--	nan	nan	nan	Calculated Value	nan	8.07	0.05	-0.05	Parsons et al. 2025	nan	nan	nan	--	nan	nan	nan	nan	nan	--	nan	nan	nan	nan	nan	--	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	18.9116	0.046	-0.046	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	18.8866	0.002415	-0.002415	TICv8	18.8086	0.0214	-0.0214	TICv8	nan	nan	nan	TICv8	nan	nan	0.23597766	9.5e-07	-9.5e-07	Parsons et al. 2025	nan	nan	nan	nan	--	nan	nan	nan	nan	nan	--	nan	nan	nan	--	nan	nan	86.7	0.3	-0.3	Parsons et al. 2025	nan	13.78704626	0.00560449	-0.00560449	Parsons et al. 2025	nan	7024.0077947	nan	nan	nan	Parsons et al. 2025	nan	nan	nan	nan	nan	--	0	0	2460432.5478805	3.2e-06	-3.2e-06	Parsons et al. 2025	nan	nan	nan	nan	--	nan	nan	nan	--	nan	nan	nan	nan	--	nan	1.4	0.012	-0.012	Parsons et al. 2025	nan	nan	nan	nan	nan	--	nan	9000.0	nan	nan	nan	Parsons et al. 2025	nan	nan	nan	nan	nan	--	nan	nan	nan	nan	--	nan	nan	nan	nan	nan	--	ztfj12302655b	ztfj12302655
ZTF J1828+2308 b	ZTF J1828+2308	b	Gaia DR2 4529477698683435264	1	1	Transit	2025	Parsons et al. 2025	Zwicky Transient Facility	277.2031946	23.1439121	-5.96713	-19.8677	nan	nan	nan	nan	--	201.827	5.77	-5.464	TICv8	1	0	0	1	0	0	0	0	0	0	0	0	None	nan	15900.0	75.0	-75.0	Parsons et al. 2025	0.0131	0.0002	-0.0002	Parsons et al. 2025	0.61	0.004	-0.004	Parsons et al. 2025	nan	nan	nan	nan	nan	--	nan	nan	nan	nan	nan	--	nan	nan	nan	Calculated Value	nan	8.05	0.05	-0.05	Parsons et al. 2025	nan	nan	nan	--	nan	nan	nan	nan	nan	--	nan	nan	nan	nan	nan	--	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	18.0447	0.0459	-0.0459	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	18.0258	0.001293	-0.001293	TICv8	18.1336	0.0121	-0.0121	TICv8	nan	nan	nan	TICv8	nan	nan	0.1120067	8.7e-07	-8.7e-07	Parsons et al. 2025	nan	nan	nan	nan	--	nan	nan	nan	nan	nan	--	nan	nan	nan	--	nan	nan	88.9	0.4	-0.4	Parsons et al. 2025	nan	11.13051784	0.21297063	-0.21297063	Parsons et al. 2025	nan	nan	6356.56814	317.828407	-317.828407	Parsons et al. 2025	nan	nan	nan	nan	nan	Calculated Value	0	0	2460431.6494044	2e-07	-2e-07	Parsons et al. 2025	nan	nan	nan	nan	--	nan	nan	nan	--	nan	nan	nan	nan	--	nan	0.838	0.002	-0.002	Parsons et al. 2025	nan	nan	nan	nan	nan	--	nan	nan	10500.0	1100.0	-1100.0	Parsons et al. 2025	nan	nan	nan	nan	nan	--	nan	nan	nan	nan	--	nan	nan	nan	nan	nan	--	ztfj18282308b	ztfj18282308
pi Men c	HD 39091	c	Gaia DR2 4623036865373793408	1	3	Transit	2018	Gandolfi et al. 2018	Transiting Exoplanet Survey Satellite (TESS)	84.2992798	-80.4646041	311.187	1048.84	nan	10.70916	0.00039	-0.00039	Kokori et al. 2023	18.2702	0.0226	-0.0226	TICv8	1	0	0	1	0	0	0	0	0	0	0	0	G0 V	nan	5998.0	62.0	-62.0	Damasso et al. 2020	1.17	0.02	-0.02	Damasso et al. 2020	1.07	0.04	-0.04	Damasso et al. 2020	nan	nan	3.92	1.03	-0.98	Damasso et al. 2020	nan	nan	0.09	0.04	-0.04	Damasso et al. 2020	1.4440093323399628	0.01984997754585799	0.020149223438509115	Venner et al. 2021	nan	4.43	0.1	-0.1	Damasso et al. 2020	0.944584	0.056393	-0.056393	Damasso et al. 2020	nan	nan	3.34	0.07	-0.07	Damasso et al. 2020	nan	nan	nan	nan	nan	--	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	nan	nan	nan	TICv8	5.65	0.03	-0.03	TICv8	6.252	0.021	-0.021	TICv8	nan	nan	nan	TICv8	4.869	0.272	-0.272	TICv8	4.424	0.226	-0.226	TICv8	4.241	0.027	-0.027	TICv8	nan	0.329	nan	Cutri et al. 2014	nan	0.16	nan	Cutri et al. 2014	nan	0.02	nan	Cutri et al. 2014	nan	nan	nan	Cutri et al. 2014	5.5128	0.0019464	-0.0019464	TICv8	5.1054	0.0063	-0.0063	TICv8	nan	nan	nan	TICv8	nan	nan	6.267852	1.6e-05	-1.6e-05	Damasso et al. 2020	nan	0.068	0.0008	-0.0008	Damasso et al. 2020	nan	nan	nan	nan	nan	Damasso et al. 2020	nan	nan	nan	Damasso et al. 2020	nan	nan	87.05	0.15	-0.15	Damasso et al. 2020	nan	2.11	0.05	-0.05	Damasso et al. 2020	nan	nan	4.3	0.7	-0.7	Damasso et al. 2020	nan	nan	2.8	0.5	-0.5	Damasso et al. 2020	0	0	2458519.8068	0.0003	-0.0003	Damasso et al. 2020	nan	2.969	0.03	-0.032	Gandolfi et al. 2018	0.0165	0.0001	-0.0001	Damasso et al. 2020	nan	0.000321	7.4565000000000005e-06	-7.4565000000000005e-06	ExoFOP-TESS TOI	nan	12.5	0.3	-0.3	Damasso et al. 2020	nan	nan	0.614	0.018	-0.018	Gandolfi et al. 2018	nan	nan	1.5	0.2	-0.2	Damasso et al. 2020	nan	nan	3.496112477	0.317828407	-0.317828407	Feng et al. 2022	nan	nan	nan	nan	--	nan	nan	nan	nan	nan	--	pimenc	hd39091

How do we access planet properties?¶

The main way to access planet properties within a Population is with its methods. That is, we can access an array of the values for some property x by calling pop.x(). Behind the scenes, the population will look to see if there is a column called "x" in the standardized table and return that column, or it will do a calculation using some of the internal data. For example, we can get an array of planet names with:

In [4]:

pop.name()

pop.name()

Out[4]:

array(['55 Cnc e', 'AU Mic b', 'AU Mic c', ..., 'ZTF J1230-2655 b',
       'ZTF J1828+2308 b', 'pi Men c'], shape=(4424,), dtype='<U29')

In [5]:

pop.radius()

pop.radius()

Out[5]:

$[1.875,~3.9567702,~2.5220207,~\dots,~13.787046,~11.130518,~2.11] \; \mathrm{R_{\oplus}}$

In [6]:

pop.get("radius")

pop.get("radius")

Out[6]:

$[1.875,~3.9567702,~2.5220207,~\dots,~13.787046,~11.130518,~2.11] \; \mathrm{R_{\oplus}}$

We also have access to quantities that are not directly included in the table itself but can be calculated from them. For example, we can get an array of the amount of insolation that the planets receive from their stars as:

In [7]:

pop.insolation()

pop.insolation()

Out[7]:

$[3627994.7,~29602.054,~10156.211,~\dots,~44452.567,~904319.75,~425072.9] \; \mathrm{\frac{W}{m^{2}}}$

In this case, the insolation is calculated from the planet's orbital separation and the luminosity of the star (which is itself calculated from the stellar effective temperature and radius).

If information needed to do a calculation is missing, exoatlas will try to estimate them from other available information. In the .insolation case, some planets had no semimajor axes defined in the .table table, but we were able to calculate this quantity from the orbital period, the stellar mass, and Newton's Version of Kepler's 3rd Law.

With this toolkit, you can now access the data you need to make some pretty fundamental plots in exoplanetary science. For example:

In [8]:

import matplotlib.pyplot as plt

plt.loglog(pop.relative_insolation(), pop.radius(), ".")
plt.xlabel("Flux Received (relative to Earth)")
plt.ylabel("Planet Radius (Earth radii)");

import matplotlib.pyplot as plt plt.loglog(pop.relative_insolation(), pop.radius(), ".") plt.xlabel("Flux Received (relative to Earth)") plt.ylabel("Planet Radius (Earth radii)");

Why is everything a function?¶

Many bits of data are simply columns in a giant table, so it might feel a little unnecessary to have to call them as functions. However, others that depend on calculations might need to have custom keyword inputs and/or options to specify, so they need to be callable. For consistency, we just make everything act like a function.

For example, equilibrium temperature depends on assumed albedo, so it's nice to be able to provide that as a keyword:

In [9]:

pop.teq()

pop.teq()

Out[9]:

$[1999.856,~601.05267,~460.00759,~\dots,~665.35937,~1413.0664,~1170.0325] \; \mathrm{K}$

In [10]:

pop.teq(albedo=0.7)

pop.teq(albedo=0.7)

Out[10]:

$[1480.0591,~444.82874,~340.44371,~\dots,~492.42103,~1045.7862,~865.92093] \; \mathrm{K}$

Or, for some calculations, there's a kludge option that allows missing masses and/or radii to be replaced with reasonable (but horribly imprecise!) theoretical estimates. We can see this making a difference if we look at a population with imprecise or missing mass estimates, and try to calculate the estimate transmission spectroscopy signal (see Observing), which depends on the planet's surface gravity, and therefore its mass. By default, nothing will be calculated for planets without masses; if kludge=True, planet's without masses will use estimated masses instead!

In [11]:

b = ea.BadMass()
b.transmission_signal()

b = ea.BadMass() b.transmission_signal()

Out[11]:

$[{\rm NaN},~3.5002167 \times 10^{-6},~6.5897483 \times 10^{-5},~\dots,~0.00023554828,~{\rm NaN},~{\rm NaN}] \; \mathrm{}$

In [12]:

b.transmission_signal(kludge=True)

b.transmission_signal(kludge=True)

Out[12]:

$[{\rm NaN},~3.5002167 \times 10^{-6},~6.5897483 \times 10^{-5},~\dots,~0.00023554828,~{\rm NaN},~{\rm NaN}] \; \mathrm{}$

How do we retrieve uncertainties?¶

We will often want to know the uncertainty on a particular quantity. We can retrieve this either with the .get_uncertainty() method, or by appending _uncertainty to the name of a quantity. For core table quantities, uncertainties are extracted directly from the table.

In [13]:

sigma = pop.get_uncertainty("radius")
sigma

sigma = pop.get_uncertainty("radius") sigma

Out[13]:

$[0.028880582,~0.15230799,~0.2559281,~\dots,~0.0056693529,~0.23473946,~0.052393463] \; \mathrm{R_{\oplus}}$

In [14]:

sigma = pop.radius_uncertainty()
sigma

sigma = pop.radius_uncertainty() sigma

Out[14]:

$[0.029773431,~0.14499872,~0.24130429,~\dots,~0.0060024217,~0.23331446,~0.054115381] \; \mathrm{R_{\oplus}}$

For more details about how uncertainties are calculated and propagated, please see Uncertainties.

How do we access some sub-population of planets?¶

Often we'll want to pull out some subset of a population. We might want a smaller sample of planets, or all the planets that meet some particular criterion, or maybe the properties of one individual planet. In our experience with numpy arrays or astropy tables, we've often done this by indexing (x[0] or x[[0, 1, 5]]), slicing (x[3:30]), or masking (x[some_array > some_other_array]).

We can apply the same methods to a Population, creating smaller populations by indexing, slicing, or masking. Anything we can do with a Population we can do with one of these sub-Populations that we create.

In [15]:

pop

pop

Out[15]:

✨ Transiting Exoplanets | 4424 elements ✨

In [16]:

one_planet = pop[0]
one_planet

one_planet = pop[0] one_planet

Out[16]:

✨ Transiting Exoplanets | 1 elements ✨

In [17]:

one_planet.name(), one_planet.radius(), one_planet.insolation()

one_planet.name(), one_planet.radius(), one_planet.insolation()

Out[17]:

(array(['55 Cnc e'], dtype='<U29'),
 <Quantity [1.875] earthRad>,
 <Quantity [3627994.74216773] W / m2>)

In [18]:

prime_planets = pop[[2, 3, 5, 7, 11, 13, 17, 19, 23]]
prime_planets

prime_planets = pop[[2, 3, 5, 7, 11, 13, 17, 19, 23]] prime_planets

Out[18]:

✨ Transiting Exoplanets | 9 elements ✨

In [19]:

first_ten = pop[:10]
first_ten

first_ten = pop[:10] first_ten

Out[19]:

✨ Transiting Exoplanets | 10 elements ✨

In [20]:

every_other_exoplanet = pop[::2]
every_other_exoplanet

every_other_exoplanet = pop[::2] every_other_exoplanet

Out[20]:

✨ Transiting Exoplanets | 2212 elements ✨

In [21]:

import astropy.units as u

small = pop[pop.radius() < 4 * u.Rearth]
small

import astropy.units as u small = pop[pop.radius() < 4 * u.Rearth] small

Out[21]:

✨ Transiting Exoplanets | 3007 elements ✨

Additionally, we can extract an individual planet or a list of planets by indexing the population with planet name(s). This is using astropy tables' .loc functionality, with "name" being used as an index.

In [22]:

cute_planet = pop["GJ 1214b"]
cute_planet

cute_planet = pop["GJ 1214b"] cute_planet

Out[22]:

✨ GJ 1214b | 1 elements ✨

In [23]:

cute_planets = pop[["LHS 1140b", "GJ 1214b", "GJ 436b"]]
cute_planets

cute_planets = pop[["LHS 1140b", "GJ 1214b", "GJ 436b"]] cute_planets

Out[23]:

✨ LHS 1140b+GJ 1214b+GJ 436b | 3 elements ✨

Systems of planets can also be extracted via name using the hostname.

In [24]:

pop["TRAPPIST-1"]

pop["TRAPPIST-1"]

Out[24]:

✨ TRAPPIST-1 | 7 elements ✨

Unfortunately it's not possible (right now) to mix and match selecting objects via both the planet name and the host name at the same time. Sorry!

How do we add new quantities?¶

Obviously sometimes we might sometimes want to add additional quantities into a population, for filtering or calculating or visualizing.

.add_column for arrays¶

For static quantities, we could just add a new column to the internal .table astropy Table, it's a little more graceful to use the .add_column wrapper. This both adds the data into .table and registers a new method that can be used to extract it (or calculate its uncertainties).

In [25]:

s = ea.SolarSystem()
new_column_name = "is_inhabited"
new_column_data = (s.name() == "Earth") * 1
new_column_uncertainty = (s.name() != "Earth") * 0.01
s.add_column(
    name=new_column_name, data=new_column_data, uncertainty=new_column_uncertainty
)

s = ea.SolarSystem() new_column_name = "is_inhabited" new_column_data = (s.name() == "Earth") * 1 new_column_uncertainty = (s.name() != "Earth") * 0.01 s.add_column( name=new_column_name, data=new_column_data, uncertainty=new_column_uncertainty )

We can see that our column was added, both to the table and as a callable column method.

In [26]:

s.table["is_inhabited"]

s.table["is_inhabited"]

Out[26]:

<Column name='is_inhabited' dtype='int64' length=8>

0
0
1
0
0
0
0
0

In [27]:

s.table["is_inhabited_uncertainty"]

s.table["is_inhabited_uncertainty"]

Out[27]:

<Column name='is_inhabited_uncertainty' dtype='float64' length=8>

0.01
0.01
0.0
0.01
0.01
0.01
0.01
0.01

In [28]:

s.is_inhabited()

s.is_inhabited()

Out[28]:

array([0, 0, 1, 0, 0, 0, 0, 0])

In [29]:

s.is_inhabited_uncertainty()

s.is_inhabited_uncertainty()

Out[29]:

array([0.01, 0.01, 0.  , 0.01, 0.01, 0.01, 0.01, 0.01])

.add_calculation for functions¶

For quantities we want to calculate on the fly, we can define a new function and then assign it to a method name inside our population using .add_calculation. If we want to be able to propagate uncertainties, we will need to pass the distribution keyword into all ingredient quantities that go into the calculation, and set its default for the function overall to False. This says that when the method is being called normally, it should just return quantity arrays, but when it's being called inside of an uncertainty propagation calculation, everything will be treated as a quantity distributions.

In [30]:

import numpy as np


def f(self, distribution=False):
    """
    Surface Area (m)

    Calculate the surface area of a planet,
    based on its radius.
    """
    return 4 * np.pi * self.radius(distribution=distribution)


pop.add_calculation(name="surface_area", function=f)

import numpy as np def f(self, distribution=False): """ Surface Area (m) Calculate the surface area of a planet, based on its radius. """ return 4 * np.pi * self.radius(distribution=distribution) pop.add_calculation(name="surface_area", function=f)

In [31]:

pop.surface_area()

pop.surface_area()

Out[31]:

$[23.561945,~49.722241,~31.692646,~\dots,~173.25313,~139.87021,~26.515042] \; \mathrm{R_{\oplus}}$

In [32]:

pop.surface_area_uncertainty()

pop.surface_area_uncertainty()

Out[32]:

$[0.38254392,~1.9596471,~3.3426908,~\dots,~0.072561642,~2.7619867,~0.66696344] \; \mathrm{R_{\oplus}}$

How do we get help on available quantities?¶

It's super important to be able to know exactly what the quantity we're retrieving represents. There are few tools for quick documentation.

Short descriptions of some common attributes can printed with the help() function. This will return a dictionary containing 1-line summaries of all quantities that can be accessed for the Population.

In [33]:

pop.help(['quantities'])

pop.help(['quantities'])

⚖️ The available quantities are:
 airmass = Airmass (unitless)
 altaz = Altitude, Azimuth (astropy.coordinates.SkyCoord)
 angular_separation = Maximum Angular Separation (a/D, arcseconds)
 argument_of_periastron = Planet Orbital Argument of Periastron ($\omega$, degrees)
 dec = The table quantity 'dec', with units of 'deg'.
 density = Planet Density (m/s**2)
 depth_snr = Transit Depth S/N
 depth_uncertainty = Transit/Eclipse Depth Uncertainty (unitless)
 detected_in_astrometry = The table quantity 'detected_in_astrometry'.
 detected_in_disk_kinematics = The table quantity 'detected_in_disk_kinematics'.
 detected_in_eclipse_timing_variations = The table quantity 'detected_in_eclipse_timing_variations'.
 detected_in_imaging = The table quantity 'detected_in_imaging'.
 detected_in_microlensing = The table quantity 'detected_in_microlensing'.
 detected_in_orbital_brightness_modulations = The table quantity 'detected_in_orbital_brightness_modulations'.
 detected_in_pulsar = The table quantity 'detected_in_pulsar'.
 detected_in_pulsation_timing = The table quantity 'detected_in_pulsation_timing'.
 detected_in_rv = The table quantity 'detected_in_rv'.
 detected_in_transit = The table quantity 'detected_in_transit'.
 discovery_facility = The table quantity 'discovery_facility'.
 discovery_method = The table quantity 'discovery_method'.
 discovery_publication = The table quantity 'discovery_publication'.
 discovery_year = The table quantity 'discovery_year'.
 distance = The table quantity 'distance', with units of 'pc'.
 distance_modulus = Distance Modulus ($\mu$, magnitudes)
 eccentricity = Planet Orbital Eccentricity (e, unitless)
 emission_signal = Thermal Emission Eclipse Signal (unitless)
 emission_snr = Thermal Emission Eclipse Depth S/N
 escape_parameter = Jeans Atmospheric Escape Parameter (unitless)
 escape_velocity = Planet Escape Velocity (km/s)
 gaia_id = The table quantity 'gaia_id'.
 hostname = The table quantity 'hostname'.
 imaging_contrast = Reflected Light Imaging Contrast (unitless)
 impact_velocity = Very Approximately Estimated Impact Velocity (km/s)
 inclination = The table quantity 'inclination', with units of 'deg'.
 insolation = Planet Insolation (S, W/m**2)
 is_controversial = The table quantity 'is_controversial'.
 kludge_mass = Planet Mass or msini (Earth masses)
 kludge_radius = Planet Radius or Estimated Planet Radius (Earth radii)
 kludge_stellar_age = System Age (Gyr)
 letter = The table quantity 'letter'.
 log_relative_insolation = log(Relative Planet Insolation)
 magnitude_B = The table quantity 'magnitude_B', with units of 'mag'.
 magnitude_H = The table quantity 'magnitude_H', with units of 'mag'.
 magnitude_IC = The table quantity 'magnitude_IC', with units of 'mag'.
 magnitude_J = The table quantity 'magnitude_J', with units of 'mag'.
 magnitude_K = The table quantity 'magnitude_K', with units of 'mag'.
 magnitude_T = The table quantity 'magnitude_T', with units of 'mag'.
 magnitude_V = The table quantity 'magnitude_V', with units of 'mag'.
 magnitude_W1 = The table quantity 'magnitude_W1', with units of 'mag'.
 magnitude_W2 = The table quantity 'magnitude_W2', with units of 'mag'.
 magnitude_W3 = The table quantity 'magnitude_W3', with units of 'mag'.
 magnitude_W4 = The table quantity 'magnitude_W4', with units of 'mag'.
 magnitude_g = The table quantity 'magnitude_g', with units of 'mag'.
 magnitude_gaia = The table quantity 'magnitude_gaia', with units of 'mag'.
 magnitude_i = The table quantity 'magnitude_i', with units of 'mag'.
 magnitude_kep = The table quantity 'magnitude_kep', with units of 'mag'.
 magnitude_r = The table quantity 'magnitude_r', with units of 'mag'.
 magnitude_u = The table quantity 'magnitude_u', with units of 'mag'.
 magnitude_z = The table quantity 'magnitude_z', with units of 'mag'.
 mass = The table quantity 'mass', with units of 'earthMass'.
 mass_estimated_from_radius_assuming_chen_and_kipping = Estimated Planet Mass (Earth masses)
 mass_estimated_from_radius_assuming_rockyish = Planet Mass (M_earth)
 msini = The table quantity 'msini', with units of 'earthMass'.
 name = The table quantity 'name'.
 number_of_emission_measurements = The table quantity 'number_of_emission_measurements'.
 number_of_planets = The table quantity 'number_of_planets'.
 number_of_stars = The table quantity 'number_of_stars'.
 number_of_transmission_measurements = The table quantity 'number_of_transmission_measurements'.
 obliquity = The table quantity 'obliquity', with units of 'deg'.
 orbital_velocity = Planet Orbital Velocity (km/s)
 period = The table quantity 'period', with units of 'd'.
 planet_luminosity = Planet Luminosity (K)
 pmdec = The table quantity 'pmdec', with units of 'mas / yr'.
 pmra = The table quantity 'pmra', with units of 'mas / yr'.
 projected_obliquity = The table quantity 'projected_obliquity', with units of 'deg'.
 ra = The table quantity 'ra', with units of 'deg'.
 radius = The table quantity 'radius', with units of 'earthRad'.
 radius_estimated_from_mass_assuming_chen_and_kipping = Estimated Planet Radius (Earth radii)
 reflection_signal = Reflection Eclipse Signal (unitless)
 reflection_snr = Reflected Light Eclipse Depth S/N
 relative_cumulative_xuv_insolation = Relative Cumulative XUV Insolation
 relative_escape_velocity = Planet Escape Velocity (relative to Earth)
 relative_insolation = Relative Planet Insolation  (S/S_Earth)
 rv_semiamplitude = The table quantity 'rv_semiamplitude', with units of 'm / s'.
 scale_height = Atmospheric Scale Height (km)
 scaled_radius = Scaled Planet Radius ((Rp/Rs), unitless)
 scaled_radius_from_radii = Scaled Planet Radius ((Rp/Rs), unitless)
 scaled_semimajoraxis = Planet Scaled Semi-major Axis (a/R*, unitless)
 scaled_semimajoraxis_from_semimajoraxis = Planet Scaled Semi-major Axis (a/R*, unitless)
 semimajoraxis = Planet Semi-major Axis (a, AU)
 semimajoraxis_from_period = Planet Semi-major Axis (a, AU)
 semimajoraxis_from_transit_scaled_semimajoraxis = Planet Semi-major Axis (a, AU)
 shows_ttv = The table quantity 'shows_ttv'.
 stellar_age = The table quantity 'stellar_age', with units of 'Gyr'.
 stellar_brightness = Stellar Brightness (photons/s/m^2/micron)
 stellar_brightness_in_telescope_units = Stellar Brightness (photons/telescope/hour)
 stellar_density = The table quantity 'stellar_density'.
 stellar_logg = The table quantity 'stellar_logg'.
 stellar_luminosity = Stellar Luminosity (L*, Lsun)
 stellar_luminosity_from_radius_and_teff = Stellar Luminosity (L*, Lsun)
 stellar_mass = The table quantity 'stellar_mass', with units of 'solMass'.
 stellar_metallicity = The table quantity 'stellar_metallicity'.
 stellar_radius = The table quantity 'stellar_radius', with units of 'solRad'.
 stellar_rotation_period = The table quantity 'stellar_rotation_period'.
 stellar_spectral_type = The table quantity 'stellar_spectral_type'.
 stellar_teff = The table quantity 'stellar_teff', with units of 'K'.
 stellar_vsini = The table quantity 'stellar_vsini'.
 surface_area = Surface Area (m)
 surface_gravity = Planet Surface Gravity (m/s**2)
 systemic_rv = The table quantity 'systemic_rv', with units of 'km / s'.
 table = 
 targeted_fractional_uncertainty_precision = 
 teq = Planet Equilibrium Temperature (K)
 tidyhostname = The table quantity 'tidyhostname'.
 tidyname = The table quantity 'tidyname'.
 transit_depth = Transit Depth ((Rp/Rs)**2, unitless)
 transit_depth_from_radii = Transit Depth ((Rp/Rs)**2, unitless)
 transit_duration = Transit Duration (days)
 transit_duration_from_orbit = Transit Duration (days)
 transit_impact_parameter = Planet Impact Parameter (b)
 transit_impact_parameter_from_inclination = Planet Semi-major Axis (a, AU)
 transit_midpoint = The table quantity 'transit_midpoint', with units of 'd'.
 transit_scaled_radius = The table quantity 'transit_scaled_radius'.
 transit_scaled_semimajoraxis = The table quantity 'transit_scaled_semimajoraxis'.
 transmission_signal = Transmission Transit Signal (2*H*Rp/Rs**2, unitless)
 transmission_snr = Transmission Spectroscopy Transit Depth S/N

Most quantities will have docstrings associated with them, which you can view either with ?, or in some tools like jupyter lab, typing the method name and then shift + tab, or hovering the cursor over it.

In [34]:

?pop.mass

?pop.mass

In [35]:

?pop.teq

?pop.teq

Explore!¶

That's about it. For more information about different pre-defined populations see Creating, and for more about pre-packaged visualizations see Visualizing.