Note

Access Spitzer IRS spectra and metadata for targets

Retrieve Spitzer IRS mid-infrared spectra for the 113 ultracool dwarfs in Suárez & Metchev (2022), along with parameters from Tables 1, 2, 4, and 5 in the paper, including:

Spectral types
Variability and binarity labels
Observation log
Publication reference
Photometry
Spectral indices

[1]:

import seda


    SEDA v0.7.0 package imported

All targets

Read table with all targets and relevant information:

[2]:

irs = seda.archival_data.IRS()
irs_table = irs.table
irs_table

[2]:

Table length=113

Name	SName	OName	RAJ2000	DEJ2000	Discovery	SpTypeopt	r_SpTypeopt	SpTypeir	r_SpTypeir	spt_adop	spt_flt	Binary	Variable	Non-var	Program	AORKEY	Module	ExpTime	ObsDate	PI	SNR6um	SNR12um	Publication	CH4obs	e_CH4obs	r_CH4obs	W3obs	e_W3obs	CH4syn	e_CH4syn	W3syn	e_W3syn	Water	e_Water	Methane	e_Methane	Ammonia	e_Ammonia	Silicate	e_Silicate	Inclination	ed_Inclination	eu_Inclination	Inc_ref	Jmag	e_Jmag	Hmag	e_Hmag	Kmag	e_Kmag	W1mag	e_W1mag	W2mag	e_W2mag	W3mag	e_W3mag	W4mag	e_W4mag	CH1	eCH1	CH2	eCH2	CH3	eCH3	CH4	eCH4	IRAC_Ref	Period	ePeriod	Period_ref	AJ(%)	e_AJ	A3.6(%)	e_A3.6	A4.5(%)	e_A4.5	ref	parallax	eparallax	parallax_ref	SpeX	Silicate_SM23	e_Silicate_SM23	excess_Si_SM23	e_excess_Si_SM23
str23	str9	str22	float64	float64	str7	str7	str7	str7	str7	str7	float64	str7	str7	str6	int64	str35	str15	str15	str32	str18	int64	int64	str13	float64	float64	str7	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	int64	int64	int64	str9	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	str19	float64	float64	str25	float64	float64	float64	float64	float64	float64	str15	float64	float64	str21	str3	float64	float64	float64	float64
2MASSJ00001354+2554180	0000+2554	--	0.0563	25.9055	Knap04	T5	Pine16	T4.5	Burg06b	T4.5	94.5	--	--	Buen14	20514	14796032,14796288	SL2,SL1	144,200,0,0	2005-12-18,2006-01-25	Golimowski,DavidA.	15	11	Step09	12.5	0.03	Legg07	--	--	12.95	0.073	--	--	1.44	0.12	2.92	0.25	1.24	0.05	0.72	0.14	--	--	--	--	15.063	0.041	14.731	0.074	14.836	0.12	14.328	0.036	13.881	0.067	10.662	0.15	8.738	--	13.72	0.03	13.07	0.04	12.56	0.1	12.5	0.03	Leggett_etal2007	--	--	--	--	--	--	--	--	--	Vos+2020_table3	70.8	1.9	Dupuy-Liu2012	yes	0.41	0.05	-0.12	0.05
2MASSJ00043484-4044058	0004-4044	GJ1001BC,LHS102BC	1.1453	-40.7351	EROS99	L5	Kirk01	L4.5	Knap04	L5	85.0	Goli04	--	Diet14	50367	26090752	SL2,SL1	2,3,0,0	2009-01-15	Cushing,MichaelC.	14	4	Suar22	10.13	0.02	Patt06	9.803	0.048	10.414	0.136	--	--	1.12	0.02	0.67	0.05	1.05	0.07	1.15	0.21	--	--	--	--	13.109	0.024	12.055	0.026	11.396	0.026	10.751	0.023	10.488	0.02	9.868	0.045	9.089	--	10.36	0.01	10.47	0.01	10.14	0.03	10.13	0.02	Patten_etal2006	--	--	--	--	--	--	--	--	--	Vos+2020_table3	82.35	0.26	GaiaCollaboration2020	yes	1.36	0.11	0.25	0.11
2MASSJ00242463-0158201	0024-0158	DYPsc,BRI0021-0214	6.1026	-1.9722	Irwi91	M9.5	Kirk95	M9.5	Geba02	M9.5	79.5	--	Mart01	--	29	3877632	SL2,SL1,LL2	2,4,36,0	2004-01-04	Houck,JamesR.	26	9	Cush06	9.55	0.01	Patt06	9.388	0.039	9.531	0.059	9.393	0.112	1.03	0.01	0.67	0.01	1.1	0.02	1.01	0.04	--	--	--	--	11.992	0.035	11.084	0.022	10.539	0.023	10.166	0.024	9.9	0.019	9.412	0.039	8.797	--	9.94	0.03	9.91	0.03	9.72	0.01	9.55	0.01	Patten_etal2006	12.0	--	Martin_etal2001	--	--	--	--	--	--	Vos+2020_table3	80.34	0.19	GaiaCollaboration2020	no	0.94	0.04	-0.01	0.04
2MASSJ00250365+4759191	0025+4759	--	6.2654	47.9886	Cruz07	L4	Cruz07	--	--	L4	84.0	Reid06	--	--	50367	26090496	SL2,SL1	16,30,0,0	2009-03-07	Cushing,MichaelC.	20	7	Fili15,Suar22	--	--	--	11.364	0.121	11.459	0.089	--	--	1.07	0.01	0.63	0.03	1.03	0.05	1.35	0.1	--	--	--	--	14.84	0.038	13.667	0.031	12.902	0.057	11.74	0.021	11.572	0.02	11.215	0.085	9.552	--	--	--	--	--	--	--	--	--	--	--	--	--	--	--	--	--	--	--	Vos+2020_table3	18.49	0.06	GaiaCollaboration2020	no	1.09	0.07	-0.06	0.07
ULASJ003402.77-005206.7	0034-0052	--	8.5116	-0.869	Warr07	--	--	T9	Burn08	T9	99.0	--	--	--	40419	21830400,21830656	SL1	0,512,0,0	2008-01-15	Leggett,SandyK.	0	9	Legg09	13.91	0.06	Warr07	11.955	--	--	--	--	--	--	--	4.59	0.48	1.63	0.18	--	--	--	--	--	--	16.359	0.085	16.04	0.134	16.024	--	17.471	0.29	14.5	0.079	12.058	--	8.676	--	16.28	0.03	14.49	0.03	14.82	0.05	13.91	0.06	Warren_etal2007	--	--	--	--	--	--	--	--	--	Vos+2020_table3	68.7	1.4	Dupuy-Liu2012	no	--	--	--	--
2MASSJ00345157+0523050	0034+0523	--	8.7144	5.3846	Burg04b	--	--	T6.5	Burg06b	T6.5	96.5	--	--	Wils14	20544	14825728	SL2,SL1	120,120,0,0	2006-01-19	Burgasser,AdamJ.	9	12	Suar22	12.25	0.11	Fili15	11.78	0.313	12.387	0.116	--	--	1.32	0.09	2.47	0.12	1.36	0.05	0.74	0.12	--	--	--	--	15.535	0.045	15.443	0.082	16.243	--	15.061	0.041	12.52	0.028	11.302	0.209	8.807	--	14.1	0.05	12.58	0.03	13.08	0.09	12.25	0.11	Filippazzo_etal2015	--	--	--	--	--	--	--	--	--	Vos+2020_table3	120.1	3.0	Kirkpatrick_etal2019	yes	0.54	0.03	0.05	0.03
2MASSJ00361617+1821104	0036+1821	--	9.0671	18.3529	Reid00	L3.5	Kirk00	L4	Knap04	L3.5	83.5	Bern10	Metc15	--	51	4188672	SL2,SL1,LL2,LL1	8,8,8,16	2004-01-06	Houck,JamesR.	37	11	Cush06	10.06	0.01	Patt06	9.851	0.054	9.996	0.043	9.846	0.092	1.12	0.01	0.59	0.01	1.02	0.03	1.28	0.08	51	9	9	Vos+2017	12.466	0.027	11.588	0.03	11.058	0.021	10.516	0.024	10.237	0.02	9.931	0.053	8.508	--	10.19	0.03	10.24	0.01	10.1	0.02	10.06	0.01	Patten_etal2006	2.7	0.3	Metchev_etal2015	1.22	0.04	0.47	0.05	0.19	0.04	Vos+2020_table3	114.47	0.14	GaiaCollaboration2020	yes	1.2	0.08	0.06	0.08
CFBDSJ005910-011401	0059-0114	--	14.7963	-1.2336	Delo08	--	--	T9	Delo08	T9	99.0	--	--	--	50667	26685440	SL1	0,238,0,0	2009-01-13	Albert,Loic	0	13	Suar22	--	--	Grif12	11.63	--	--	--	--	--	--	--	3.52	0.37	1.6	0.16	--	--	--	--	--	--	13.82	0.027	13.291	0.031	13.201	0.035	17.07	0.151	13.681	0.043	11.646	0.226	9.095	--	15.74	0.01	13.72	0.01	--	--	--	--	Griffith_etal2012	--	--	--	--	--	--	--	--	--	Vos+2020_table3	103.2	2.1	Dupuy-Liu2012	no	--	--	--	--
2MASSJ01365662+0933473	0136+0933	SIMPJ013656.5+093347.3	24.2357	9.5631	Arti06	T2	Pine16	T2.5	Arti06	T2.5	92.5	--	Arti09	--	40076	21967104	SL2,SL1	6,6,0,0	2008-09-01	Mainzer,AmandaK.	24	11	Suar22	--	--	--	9.738	0.048	10.288	0.058	--	--	1.2	0.03	1.56	0.04	1.21	0.02	0.71	0.08	80	12	12	Vos+2017	13.455	0.03	12.771	0.032	12.562	0.024	11.919	0.023	10.943	0.021	9.763	0.039	8.92	0.37	--	--	--	--	--	--	--	--	--	2.3895	0.0005	Artigau_etal2009	--	--	1.5	0.2	--	--	Vos+2020_table3	163.45	0.46	GaiaCollaboration2020	yes	0.61	0.03	0.01	0.03
2MASSJ01390120-1757026	0139-1757	Gl65,G272-61	24.7557	-17.9507	Luyt49	M5.5	Kirk91	--	--	M5.5	75.5	Kirk91	--	--	29	3878400	SL2,SL1,LL2,LL1	0.4,0.4,0.4,0.4	2005-07-10	Houck,JamesR.	186	114	Cush06,Suar22	--	--	--	4.766	0.015	4.901	0.017	4.758	0.019	1.05	0.01	0.67	0.01	1.13	0.01	1.09	0.02	--	--	--	--	6.283	0.019	5.69	0.029	5.343	0.021	5.053	0.072	4.575	0.041	4.762	0.015	4.616	0.025	--	--	--	--	--	--	--	--	--	--	--	--	--	--	--	--	--	--	Vos+2020_table3	367.71	0.74	GaiaCollaboration2020	no	1.0	0.02	0.06	0.02
...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...
2MASSJ21442847+1446077	2144+1446	HNPegB	326.1188	14.7688	Luhm07a	--	--	T2.5	Luhm07a	T2.5	92.5	--	Zhou18	--	40489	23795968,23796224	SL2,SL1	256,448,0,0	2008-08-02,2008-07-11	Metchev,Stanimir	26	385	Suar21	12.58	0.11	Luhm07a	11.777	0.217	12.527	0.042	--	--	1.18	0.04	1.65	0.06	1.24	0.03	0.69	0.06	--	--	--	--	16.704	0.163	15.551	0.111	15.631	0.249	15.527	0.062	15.292	0.12	12.329	--	9.088	--	13.72	0.04	13.39	0.02	13.08	0.1	12.58	0.11	Luhman_etal2007	15.4	0.5	Zhou_etal2018	--	--	0.77	0.15	1.1	0.5	Vos+2020_table3	55.15	0.03	GaiaCollaboration2020	yes	0.61	0.03	0.01	0.03
ULASJ214638.83-001038.7	2146-0010	Wolf940B	326.6628	-0.1776	Burn09	--	--	T8.5	Burn09	T8.5	98.5	--	--	--	527	28721408,28721920	SL1	0,336,0,0	2008-12-16	Burningham,Ben	0	6	Legg10b	14.36	0.08	Legg10a	12.312	--	--	--	--	--	--	--	5.53	0.85	1.38	0.12	--	--	--	--	--	--	8.364	0.024	7.825	0.031	7.489	0.026	16.721	0.12	14.236	0.052	12.789	--	8.706	--	16.44	0.03	14.43	0.03	15.38	0.15	14.36	0.08	Leggett_etal2010	--	--	--	--	--	--	--	--	--	Vos+2020_table3	80.74	0.05	GaiaCollaboration2020	no	--	--	--	--
2MASSJ21481633+4003594	2148+4003	--	327.0679	40.0665	Loop08	L6	Loop08	L6.5p	Kirk10	L6	86.0	--	Metc15	--	24	16201984	SL2,SL1	16,16,0,0	2005-12-15	Roellig,Thomas	141	57	Loop08	--	--	--	9.631	0.042	9.841	0.019	--	--	1.08	0.01	0.57	0.01	0.97	0.01	1.58	0.04	88	8	2	Vos+2017	14.147	0.029	12.783	0.03	11.765	0.023	10.739	0.023	10.235	0.021	9.657	0.037	9.2	0.439	--	--	--	--	--	--	--	--	--	19.0	4.0	Metchev_etal2015	--	--	1.33	0.07	1.03	0.1	Vos+2020_table3	123.68	0.36	GaiaCollaboration2020	yes	1.44	0.01	0.4	0.01
2MASSJ21522609+0937575	2152+0937	--	328.1087	9.6326	Reid06	L6	Reid08	--	--	L6	86.0	Reid06	--	--	3136	10373632	SL2,SL1	16,16,0,0	2005-07-09	Cruz,Kelle	18	5	Suar22	--	--	--	11.207	0.172	11.544	0.098	--	--	1.29	0.03	0.73	0.03	1.11	0.04	1.1	0.08	--	--	--	--	15.19	0.032	14.08	0.036	13.343	0.034	12.543	0.025	12.144	0.024	11.365	0.155	8.721	--	--	--	--	--	--	--	--	--	--	--	--	--	--	--	--	--	--	--	Vos+2020_table3	40.9	6.9	Best_etal2020	no	1.05	0.05	0.02	0.05
2MASSJ22041052-5646577	2204-5646	epsIndB,epsIndiBa/Bb	331.0656	-56.7901	Scho03	--	--	T6	Burg06b	T6	96.0	McCa04	Koen03	--	51	6313730	SL2,SL1,LL2,LL1	8,8,8,16	2005-05-31	Houck,JamesR.	75	66	Roel04	8.98	0.04	Patt06	8.393	0.023	9.023	0.021	8.275	0.025	1.32	0.04	1.89	0.05	1.32	0.03	0.67	0.05	--	--	--	--	14.375	0.029	13.839	0.03	13.778	0.059	10.612	0.024	9.426	0.02	8.365	0.02	7.957	0.166	9.97	0.01	9.44	0.02	9.39	0.03	8.98	0.04	Patten_etal2006	--	--	Koen2003	--	--	--	--	--	--	Vos+2020_table3	270.66	0.69	GaiaCollaboration2020	no	0.55	0.02	0.05	0.02
2MASSJ22244381-0158521	2224-0158	--	336.1827	-1.9815	Kirk00	L4.5	Kirk00	L3.5	Knap04	L4.5	84.5	--	--	Koen13	51	4189440	SL2,SL1	16,16,0,0	2004-11-13	Houck,JamesR.	37	8	Cush06	10.81	0.02	Patt06	10.54	0.101	10.861	0.061	--	--	1.1	0.02	0.57	0.02	0.96	0.02	1.48	0.11	--	--	--	--	14.073	0.027	12.818	0.026	12.022	0.023	11.361	0.023	11.121	0.022	10.648	0.093	8.569	--	11.05	0.02	11.14	0.02	10.85	0.01	10.81	0.02	Patten_etal2006	--	--	--	--	--	0.1	0.0	0.15	0.0	Vos+2020_table3	86.15	0.41	GaiaCollaboration2020	yes	1.38	0.06	0.24	0.06
2MASSJ22383372-1517573	2238-1517	Gl866,L789-6	339.6408	-15.3008	Lein86	M5	Kirk91	--	--	M5	75.0	Lein86	--	--	29	3878912	SL2,SL1,LL2,LL1	0.4,0.4,0.4,0.4	2004-06-07	Houck,JamesR.	158	76	Cush06,Suar22	--	--	--	5.005	0.015	5.306	0.018	5.292	0.022	1.04	0.01	0.6	0.02	1.16	0.02	1.16	0.06	--	--	--	--	6.553	0.019	5.954	0.031	5.537	0.02	5.314	0.062	4.889	0.035	5.006	0.015	4.877	0.03	--	--	--	--	--	--	--	--	--	--	--	--	--	--	--	--	--	--	Vos+2020_table3	293.6	0.9	Torres_etal2010	yes	1.03	0.05	0.09	0.05
2MASSJ22443167+2043433	2244+2043	--	341.1322	20.7285	Dahn02	L6.5	Kirk08	L7.5	Knap04	L6.5	86.5	--	Vos18	--	3431	10979840	SL2,SL1	16,48,0,0	2004-12-10	Leggett,SandyK.	19	12	Step09	11.36	0.03	Legg07	11.225	0.141	11.387	0.059	--	--	1.15	0.03	0.49	0.02	0.92	0.04	1.42	0.15	76	20	14	Vos+2018	16.476	0.14	14.999	0.066	14.022	0.073	12.777	0.024	12.108	0.024	11.136	0.115	9.301	--	12.35	0.03	12.11	0.03	11.59	0.03	11.36	0.03	Leggett_etal2007	11.0	2.0	Vos_etal2018	5.5	0.6	0.8	0.2	--	--	Vos+2020_table3	58.7	0.95	Liu_etal2016	yes	1.37	0.07	0.38	0.07
2MASSJ22541892+3123498	2254+3123	--	343.5788	31.3972	Burg02	T5	Pine16	T4	Burg06b	T4	94.0	--	--	Radi14	3431	12238592,12239104,12239360	SL2,SL1	88,288,0,0	2005-01-05	Leggett,SandyK.	14	13	Step09	12.78	0.1	Patt06	12.111	0.34	12.824	0.065	--	--	1.3	0.06	1.64	0.08	1.26	0.05	0.82	0.11	--	--	--	--	15.262	0.047	15.018	0.081	14.902	0.147	14.65	0.034	13.267	0.032	12.433	0.364	9.228	--	13.92	0.03	13.28	0.01	13.05	0.1	12.78	0.1	Patten_etal2006	--	--	--	--	--	0.47	0.0	0.39	0.0	Vos+2020_table3	72.0	3.0	Manjavacas_etal2013	yes	0.62	0.04	0.08	0.04
2MASSJ23515044-2537367	2351-2537	--	357.9603	-25.6269	Poko04	M9	Lodi05	M8	Burg08b	M9	79.0	Bart17	Koen13	--	3136	10374144	SL2,SL1	6,6,0,0	2005-07-05	Cruz,Kelle	27	6	Fili15,Suar22	--	--	--	10.262	0.073	10.524	0.072	--	--	1.08	0.01	0.69	0.02	1.23	0.03	1.06	0.07	--	--	--	--	12.471	0.026	11.725	0.022	11.269	0.026	10.934	0.022	10.678	0.022	10.303	0.065	8.961	--	--	--	--	--	--	--	--	--	--	--	--	Koen2013	--	--	--	--	--	--	Vos+2020_table3	49.08	0.45	GaiaCollaboration2020	yes	0.92	0.05	-0.03	0.05

[3]:

# all table columns
irs_table.columns

[3]:

<TableColumns names=('Name','SName','OName','RAJ2000','DEJ2000','Discovery','SpTypeopt','r_SpTypeopt','SpTypeir','r_SpTypeir','spt_adop','spt_flt','Binary','Variable','Non-var','Program','AORKEY','Module','ExpTime','ObsDate','PI','SNR6um','SNR12um','Publication','CH4obs','e_CH4obs','r_CH4obs','W3obs','e_W3obs','CH4syn','e_CH4syn','W3syn','e_W3syn','Water','e_Water','Methane','e_Methane','Ammonia','e_Ammonia','Silicate','e_Silicate','Inclination','ed_Inclination','eu_Inclination','Inc_ref','Jmag','e_Jmag','Hmag','e_Hmag','Kmag','e_Kmag','W1mag','e_W1mag','W2mag','e_W2mag','W3mag','e_W3mag','W4mag','e_W4mag','CH1','eCH1','CH2','eCH2','CH3','eCH3','CH4','eCH4','IRAC_Ref','Period','ePeriod','Period_ref','AJ(%)','e_AJ','A3.6(%)','e_A3.6','A4.5(%)','e_A4.5','ref','parallax','eparallax','parallax_ref','SpeX','Silicate_SM23','e_Silicate_SM23','excess_Si_SM23','e_excess_Si_SM23')>

List all targets with Spitzer IRS spectra:

[4]:

irs_table['SName'].data # short name

[4]:

array(['0000+2554', '0004-4044', '0024-0158', '0025+4759', '0034-0052',
       '0034+0523', '0036+1821', '0059-0114', '0136+0933', '0139-1757',
       '0144-0716', '0251-0352', '0255-4700', '0355+1133', '0415-0935',
       '0423-0414', '0429-3123', '0439-2353', '0445-3048', '0501-0010',
       '0523-1403', '0532+8246', '0539-0059', '0559-1404', '0624-4521',
       '0700+3157', '0727+1710', '0746+2000', '0758+3247', '0805+4812',
       '0825+2115', '0829+2646', '0830+4828', '0837-0000', '0857+5708',
       '0908+5032', '0911+7401', '0912+1459', '0920+3517', '0921-2104',
       '0929+3429', '0937+2931', '0939-2448', '1013-1356', '1017+1308',
       '1021-0304', '1022+5825', '1028+5654', '1036-3441', '1045-0149',
       '1048+0111', '1051+5613', '1052+4422', '1106+2754', '1108+6830',
       '1110+0116', '1112+3548', '1114-2618', '1126-5003', '1155+0559',
       '1207+0244', '1213-0432', '1217-0311', '1225-2739', '1237+6526',
       '1239+5515', '1254-0122', '1305-2541', '1331-0116', '1335+1130',
       '1425-3650', '1439+1839', '1439+1929', '1441-0945', '1448+1031',
       '1456-2809', '1457-2121', '1503+2525', '1506+1321', '1507-1627',
       '1515+4847', '1516+3053', '1520+3546', '1523+3014', '1526+2043',
       '1610-0040', '1615+3559', '1624+0029', '1626+3925', '1658+7027',
       '1707-0558', '1721+3344', '1728+3948', '1731+2721', '1753-6559',
       '1807+5015', '1821+1414', '1828+1229', '1916+0509', '1936-5502',
       '2057-0252', '2132+1341', '2139+0220', '2144+1446', '2146-0010',
       '2148+4003', '2152+0937', '2204-5646', '2224-0158', '2238-1517',
       '2244+2043', '2254+3123', '2351-2537'], dtype='<U9')

Read spectra

Read the spectrum for a few targets:

[5]:

targets = ['0355+1133', '0136+0933', '2204-5646']
spectra = irs.get_spectra(targets)

Quick plot of the spectra

[6]:

for s in spectra:
    # pass extra plotting options to customize the spectrum line appearance
    fig, ax = s.plot(color='black', linewidth=2)

../_images/notebooks_tutorial_spitzer_irs_spectra_11_0.png

../_images/notebooks_tutorial_spitzer_irs_spectra_11_1.png

../_images/notebooks_tutorial_spitzer_irs_spectra_11_2.png

The plot can be further customized, for example for the first spectrum:

[7]:

import matplotlib.pyplot as plt

# for the first spectrum
spectrum = spectra[0]

fig, ax = spectrum.plot()

ax.set_title(f'{spectrum.Name} ({spectrum.SpTypeopt}/{spectrum.SpTypeir})', size=15)

# increase font size of axis labels
ax.set_xlabel(ax.get_xlabel(), fontsize=15)
ax.set_ylabel(ax.get_ylabel(), fontsize=15)

plt.show()

../_images/notebooks_tutorial_spitzer_irs_spectra_13_0.png

Attributes of spectra and targets

Inspect attributes for targets and spectra in memory

All attributes available for each loaded spectrum, shown here for the first spectrum as an example:

[8]:

spectra[0].keys()

[8]:

['target',
 'wavelength',
 'flux',
 'eflux',
 'Name',
 'SName',
 'OName',
 'RAJ2000',
 'DEJ2000',
 'Discovery',
 'SpTypeopt',
 'r_SpTypeopt',
 'SpTypeir',
 'r_SpTypeir',
 'spt_adop',
 'spt_flt',
 'Binary',
 'Variable',
 'Non-var',
 'Program',
 'AORKEY',
 'Module',
 'ExpTime',
 'ObsDate',
 'PI',
 'SNR6um',
 'SNR12um',
 'Publication',
 'CH4obs',
 'e_CH4obs',
 'r_CH4obs',
 'W3obs',
 'e_W3obs',
 'CH4syn',
 'e_CH4syn',
 'W3syn',
 'e_W3syn',
 'Water',
 'e_Water',
 'Methane',
 'e_Methane',
 'Ammonia',
 'e_Ammonia',
 'Silicate',
 'e_Silicate',
 'Inclination',
 'ed_Inclination',
 'eu_Inclination',
 'Inc_ref',
 'Jmag',
 'e_Jmag',
 'Hmag',
 'e_Hmag',
 'Kmag',
 'e_Kmag',
 'W1mag',
 'e_W1mag',
 'W2mag',
 'e_W2mag',
 'W3mag',
 'e_W3mag',
 'W4mag',
 'e_W4mag',
 'CH1',
 'eCH1',
 'CH2',
 'eCH2',
 'CH3',
 'eCH3',
 'CH4',
 'eCH4',
 'IRAC_Ref',
 'Period',
 'ePeriod',
 'Period_ref',
 'AJ(%)',
 'e_AJ',
 'A3.6(%)',
 'e_A3.6',
 'A4.5(%)',
 'e_A4.5',
 'ref',
 'parallax',
 'eparallax',
 'parallax_ref',
 'SpeX',
 'Silicate_SM23',
 'e_Silicate_SM23',
 'excess_Si_SM23',
 'e_excess_Si_SM23']

Extract spectra

Extract first spectrum

[9]:

wl = spectra[0].wavelength # in microns
flux = spectra[0].flux # in Jy
eflux = spectra[0].eflux # in Jy

Print example attributes for loaded spectra

[10]:

attributes = ['target', 'Name', 'SpTypeopt', 'SpTypeir', 'ObsDate', 'PI', 'SNR6um']

# print selected attributes
for s in spectra:
    print(f'\n{s.target}')
    for attr in attributes:
        print(f'{attr}:', getattr(s, attr))


0355+1133
target: 0355+1133
Name: 2MASSJ03552337+1133437
SpTypeopt: L5gamma
SpTypeir: L4.8
ObsDate: 2008-10-10
PI: Burgasser,AdamJ.
SNR6um: 142

0136+0933
target: 0136+0933
Name: 2MASSJ01365662+0933473
SpTypeopt: T2
SpTypeir: T2.5
ObsDate: 2008-09-01
PI: Mainzer,AmandaK.
SNR6um: 24

2204-5646
target: 2204-5646
Name: 2MASSJ22041052-5646577
SpTypeopt: --
SpTypeir: T6
ObsDate: 2005-05-31
PI: Houck,JamesR.
SNR6um: 75