LMFDB - Embedded newform data

Formats: - HTML - YAML - JSON - 2024-05-06T02:13:11.146424

Column	Type
Nk2	integer
analytic_conductor	double precision
analytic_rank	smallint
analytic_rank_proved	boolean
artin_degree	integer
artin_field	numeric[]
artin_field_label	text
artin_image	text
atkin_lehner_eigenvals	integer[]
atkin_lehner_string	text
char_conductor	integer
char_degree	integer
char_is_minimal	boolean
char_is_real	boolean
char_orbit_index	smallint
char_orbit_label	text
char_order	integer
char_parity	smallint
char_values	jsonb
cm_discs	integer[]
conrey_index	integer
conrey_indexes	integer[]
dim	integer
embedded_related_objects	text[]
field_disc	numeric
field_disc_factorization	numeric[]
field_poly	numeric[]
field_poly_is_cyclotomic	boolean
field_poly_is_real_cyclotomic	boolean
field_poly_root_of_unity	integer
fricke_eigenval	smallint
has_non_self_twist	smallint
hecke_cutters	jsonb
hecke_orbit	integer
hecke_orbit_code	bigint
hecke_ring_generator_nbound	integer
hecke_ring_index	numeric
hecke_ring_index_factorization	numeric[]
hecke_ring_index_proved	boolean
inner_twist_count	integer
inner_twists	integer[]
is_cm	boolean
is_polredabs	boolean
is_rm	boolean
is_self_dual	boolean
is_self_twist	boolean
is_twist_minimal	boolean
label	text
level	integer
level_is_prime	boolean
level_is_prime_power	boolean
level_is_square	boolean
level_is_squarefree	boolean
level_primes	integer[]
level_radical	integer
minimal_twist	text
nf_label	text
prim_orbit_index	smallint
projective_field	numeric[]
projective_field_label	text
projective_image	text
projective_image_type	text
qexp_display	text
related_objects	text[]
relative_dim	integer
rm_discs	integer[]
sato_tate_group	text
self_twist_discs	integer[]
self_twist_type	smallint
space_label	text
trace_display	numeric[]
trace_hash	bigint
trace_moments	numeric[]
trace_zratio	numeric
traces	numeric[]
weight	smallint
weight_parity	smallint

mf_newforms • Show schema

{'Nk2': 4592, 'analytic_conductor': 9.166826152042988, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 7, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 9, 'char_orbit_label': 'i', 'char_order': 3, 'char_parity': 1, 'char_values': [1148, 3, [575, 493, 785], [3, 2, 3]], 'cm_discs': [], 'conrey_index': 165, 'conrey_indexes': [165, 821], 'dim': 30, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [11431161, -1349019, 76515705, -47985882, 383519112, -235132095, 792368128, -628512837, 1177237355, -806031146, 938089264, -490387109, 456480588, -192933560, 158405213, -53110525, 40513117, -10744526, 8025028, -1630125, 1224430, -185980, 146003, -15859, 13068, -985, 871, -41, 38, -1, 1]], [11, [220991189409, -1518773404302, 11325431100807, -3614646212928, 36423179751663, -15459787641825, 85412299629627, -7096138000083, 59934607938684, 28890024424875, 34564416512442, 14941771775070, 9388090866508, 3503362264424, 1632433870666, 511029501243, 180968049620, 45488228003, 13027568874, 2727400364, 668341404, 116647786, 24654574, 3554555, 665733, 77617, 12607, 1092, 157, 9, 1]]], 'hecke_orbit': 5, 'hecke_orbit_code': 18014948298851452, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 7, 3, 1, 3, 0]], 'is_cm': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '1148.2.i.e', 'level': 1148, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 7, 41], 'level_radical': 574, 'minimal_twist': '1148.2.i.e', 'prim_orbit_index': 3, 'related_objects': [], 'relative_dim': 15, 'rm_discs': [], 'sato_tate_group': '1.2.3.c3', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1148.2.i', 'trace_display': [0, 1, -3, 3], 'traces': [30, 0, 1, 0, -3, 0, 3, 0, -30, 0, -9, 0, 14, 0, 4, 0, -3, 0, -7, 0, -3, 0, 1, 0, -32, 0, 22, 0, 36, 0, -30, 0, 16, 0, -47, 0, -23, 0, -5, 0, -30, 0, 24, 0, 13, 0, 16, 0, -31, 0, -29, 0, -33, 0, 74, 0, 32, 0, 10, 0, -1, 0, -75, 0, -16, 0, -20, 0, 42, 0, 10, 0, 3, 0, 51, 0, -15, 0, -25, 0, -43, 0, 36, 0, 72, 0, 53, 0, 11, 0, -41, 0, -65, 0, 30, 0, 32, 0, -36, 0, 3, 0, 6, 0, -67, 0, -47, 0, -39, 0, 168, 0, 18, 0, 25, 0, 26, 0, -56, 0, -68, 0, -1, 0, 66, 0, -106, 0, 36, 0, 31, 0, -27, 0, -53, 0, -71, 0, 130, 0, 0, 0, 60, 0, 13, 0, -99, 0, -37, 0, -15, 0, 116, 0, -104, 0, 43, 0, 17, 0, -54, 0, -45, 0, -76, 0, 48, 0, 184, 0, 107, 0, -33, 0, -10, 0, -40, 0, -14, 0, 126, 0, -118, 0, -22, 0, -4, 0, -44, 0, -21, 0, -33, 0, 256, 0, -24, 0, 41, 0, -12, 0, -190, 0, 3, 0, -24, 0, 94, 0, 0, 0, -15, 0, 44, 0, 20, 0, -61, 0, -28, 0, 76, 0, 38, 0, 116, 0, -30, 0, -163, 0, -81, 0, -152, 0, 232, 0, 0, 0, 24, 0, 103, 0, -97, 0, 10, 0, -13, 0, 76, 0, 56, 0, 89, 0, 20, 0, -64, 0, -90, 0, 36, 0, -12, 0, -44, 0, 5, 0, 7, 0, -235, 0, -75, 0, -76, 0, 90, 0, 66, 0, 101, 0, 125, 0, -3, 0, -164, 0, -102, 0, 102, 0, -176, 0, -28, 0, -24, 0, 35, 0, -46, 0, 35, 0, 38, 0, 194, 0, -7, 0, 53, 0, -143, 0, -47, 0, 70, 0, -24, 0, 66, 0, 67, 0, -30, 0, -27, 0, -117, 0, -60, 0, 336, 0, 148, 0, 52, 0, 121, 0, -171, 0, -186, 0, -72, 0, 2, 0, -50, 0, -81, 0, 49, 0, -65, 0, -22, 0, -98, 0, 266, 0, 152, 0, 17, 0, 30, 0, 18, 0, -44, 0, -29, 0, 186, 0, 248, 0, -5, 0, 7, 0, 34, 0, -135, 0, -25, 0, -70, 0, 86, 0, 36, 0, -34, 0, -114, 0, -110, 0, -36, 0, 180, 0, 0, 0, -71, 0, -13, 0, -161, 0, -9, 0, 21, 0, 146, 0, 350, 0, 50, 0, 53, 0, 58, 0, -225, 0, -11, 0, -18, 0, 6, 0, 0, 0, -27, 0, -137, 0, 6, 0, -128, 0, 144, 0, 38, 0, 9, 0, 163, 0, -182, 0, -76, 0, -206, 0, -122, 0, -62, 0, 4, 0, -71, 0, -16, 0, 8, 0, -36, 0, 154, 0, 88, 0, -44, 0, -73, 0, -104, 0, -175, 0, -105, 0, -232, 0, 140, 0, 7, 0, 41, 0, -147, 0, -82, 0, -121, 0, -8, 0, 284, 0, 118, 0, 146, 0, 263, 0, -157, 0, -9, 0, -300, 0, -120, 0, -1, 0, -67, 0, -288, 0, 70, 0, -146, 0, 290, 0, -14, 0, 105, 0, 93, 0, -78, 0, -73, 0, 176, 0, 334, 0, -190, 0, -142, 0, 52, 0, 58, 0, -71, 0, 3, 0, -52, 0, 238, 0, 67, 0, -38, 0, -35, 0, 5, 0, -72, 0, 292, 0, -304, 0, 65, 0, 6, 0, -47, 0, 152, 0, 11, 0, -40, 0, 90, 0, 62, 0, 166, 0, 131, 0, -30, 0, 67, 0, -36, 0, -150, 0, -214, 0, -109, 0, -160, 0, -83, 0, -57, 0, -4, 0, 74, 0, 137, 0, 39, 0, -45, 0, -153, 0, -73, 0, 186, 0, -148, 0, -15, 0, 50, 0, 53, 0, 87, 0, 5, 0, 30, 0, 40, 0, 27, 0, 109, 0, -128, 0, -19, 0, -48, 0, 214, 0, 152, 0, 79, 0, 52, 0, -112, 0, 41, 0, 84, 0, 192, 0, -118, 0, 99, 0, 39, 0, 47, 0, -72, 0, 51, 0, 146, 0, -314, 0, -86, 0, -62, 0, -93, 0, 96, 0, 3, 0, 2, 0, -64, 0, -69, 0, 55, 0, -29, 0, -140, 0, -38, 0, 150, 0, -276, 0, 115, 0, -6, 0, 3, 0, 27, 0, 228, 0, 220, 0, 282, 0, 77, 0, -47, 0, -49, 0, 14, 0, -199, 0, -244, 0, -108, 0, -60, 0, -266, 0, -140, 0, 0, 0, 158, 0, -36, 0, 160, 0, -65, 0, -45, 0, 192, 0, -51, 0, 101, 0, 60, 0, -40, 0, -81, 0, -168, 0, 84, 0, 7, 0, -49, 0, 110, 0, 68, 0, 67, 0, 83, 0, 83, 0, -1, 0, 17, 0, -70, 0, -168, 0, -106, 0, -37, 0, -33, 0, 113, 0, -119, 0, -48, 0, -192, 0, 151, 0, 60, 0, 4, 0, -4, 0, 36, 0, -18, 0, -300, 0, 37, 0, 69, 0, -345, 0, 79, 0, -5, 0, -62, 0, 114, 0, 137, 0, 97, 0, 191, 0, 33, 0, -41, 0, 114, 0, -648, 0, -171, 0, -165, 0, 3, 0, -53, 0, -17, 0, 240, 0, -36, 0, 41, 0, 138, 0, 202, 0, -2, 0, 181, 0, -130, 0, 108, 0, -200, 0, -110, 0, 41, 0, 115, 0, 125, 0, -400, 0, -144, 0, 160, 0, -229, 0, -41, 0, 124, 0, -74, 0, -34, 0, -76, 0, 90, 0, -155, 0, -35, 0, 165, 0, -1, 0, 60, 0, 516, 0, 128, 0, 251, 0, 352, 0, 139, 0, 81, 0, -172, 0, 0, 0, 13, 0, -1, 0, 146, 0, 105, 0, -246, 0, 316, 0, 174, 0, 85, 0, 39, 0, -227, 0, 93, 0, -103, 0, -312, 0, -132, 0, -163, 0, -66, 0, -91, 0, 161, 0, 107, 0, -102, 0, 266, 0, -126, 0, -65, 0, 16, 0, -48, 0, -121, 0, 378, 0, -488, 0, -26, 0, -72, 0, 171, 0, 6, 0, 217, 0, -92, 0, 350, 0, 185, 0, -24, 0, 81, 0, 144, 0, -105, 0, -46, 0, -220, 0, 32, 0, -78, 0, 37, 0, 114, 0, -228, 0, -266, 0, -298, 0, 42, 0, -42, 0, 243, 0, 6, 0, 327, 0, -36, 0, 172, 0, -232, 0, -106, 0, 194, 0, -5, 0, -35, 0, -546, 0, 414, 0, 225, 0, -100, 0, 15, 0, -76, 0, -185, 0, -736, 0, 86, 0, -32, 0, 47, 0, -5, 0, 75, 0, 129, 0, -204, 0, 276, 0, -186, 0, -294, 0, 239, 0, -5, 0, 228, 0, -268, 0, -22, 0, -105, 0, -96, 0, 22, 0, 87, 0, -20, 0, 350, 0, -248, 0, 73, 0, 307, 0, 68, 0, -157, 0, 42, 0, 94, 0, 72, 0, -136, 0, -80, 0, 261, 0, 224, 0, 268, 0, 154, 0, 112, 0, -143, 0, -62, 0, 271, 0, 317, 0, 268, 0, -766, 0, 20, 0, -52, 0, 252, 0, -84, 0, -7, 0, 258, 0, -136, 0, 38, 0, -151, 0, -138, 0, 218, 0, 132, 0, -74, 0, -36, 0, -422, 0, -300, 0, -191, 0, 344, 0, 9, 0, -174, 0, -272, 0, -118, 0, 248, 0, 294, 0, -82, 0, -67, 0, 308, 0, -22, 0, 186, 0, -262, 0, 395, 0, 256, 0, 63, 0, 139, 0, -204, 0, 270, 0, -107, 0, -122, 0, -189, 0, 31, 0, -74, 0, -206, 0, -440, 0, 0, 0, -285, 0, -60, 0, 53, 0, 185, 0, 56, 0, 724, 0, -159, 0, 22, 0, 147, 0, -140, 0, 30, 0, -522, 0, -282, 0, 127, 0, 6, 0, 34, 0, 142, 0, -231, 0, 216, 0, 120, 0, 91, 0, 155, 0, -419, 0, 79, 0, 63, 0, 64, 0, 190, 0, 77, 0, -175, 0, 373, 0, 256, 0, 135, 0, 28, 0, 6, 0, -43, 0, -126, 0, 230, 0, 121, 0, 22, 0, -254, 0, -162, 0, -197, 0, 160, 0, 248, 0, 86, 0, -80, 0, 298, 0, 496, 0, 179, 0, 18, 0, 298, 0, -16, 0, 236, 0, -346, 0, -340, 0, -24, 0, -123, 0, 194, 0, 38, 0, -284, 0, -402, 0, -340, 0, -92, 0, -175, 0, 200, 0, -91, 0, 248, 0, -288, 0, -86, 0, -451, 0, 201, 0, -104, 0, 163, 0, 217, 0, -298, 0, -90, 0, -111, 0, -34, 0, -139, 0, 188, 0, -190, 0, -282, 0, -150, 0, -175, 0, 256, 0, 171, 0, 172, 0, 234, 0, -36, 0, 298, 0, -131, 0, 188, 0, 47, 0, 245, 0, 121, 0, -292, 0, -764, 0, -175, 0, -264, 0, 410, 0, 133, 0, -138, 0, -72, 0, -56, 0, 41, 0, -14, 0, -121, 0, 77, 0, 77, 0, -754, 0, 82, 0, -108, 0, -203, 0, 245, 0, 45, 0, 68, 0, -356, 0, -212, 0, -133, 0, -56, 0, -215, 0, -80, 0, 141, 0, -344, 0, -84, 0, 119, 0, 96, 0, 56, 0, 179, 0, 200, 0, 464, 0, 406, 0, 119, 0, 23, 0, 248, 0, 64, 0, -45, 0, -120, 0, -276, 0, -25, 0, -26, 0, 14, 0, 18, 0, -89, 0, -636, 0, 502, 0, -116, 0, -315, 0, 118, 0, -127, 0, 275, 0, -82, 0, 198, 0, -55, 0, 143, 0, 233, 0, 320, 0, 61, 0, 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Column	Type
an_normalized	double precision[]
angles	double precision[]
char_orbit_index	smallint
conrey_index	integer
dual_conrey_index	integer
dual_embedding_index	integer
dual_embedding_m	integer
embedding_index	integer
embedding_m	integer
embedding_root_imag	double precision
embedding_root_real	double precision
hecke_orbit	integer
hecke_orbit_code	bigint
label	text
level	integer
weight	smallint

mf_hecke_cc • Show schema

{'an_normalized': [[1.0, 0.0], [0.0, 0.0], [-0.12978538496441247, 0.22479488083824828], [0.0, 0.0], [0.1761581057491779, 0.3051147893226672], [0.0, 0.0], [0.664150514970684, 0.7475988854085961], [0.0, 0.0], [0.4663115076992785, 0.8076752234891961], [0.0, 0.0], [-0.4679457256894585, 0.8105057720788309], [0.0, 0.0], [1.5507667930201714, 0.0], [0.0, 0.0], [-0.09145099027703495, 0.0], [0.0, 0.0], [-0.6527172235434243, 1.1305393941525035], [0.0, 0.0], [-0.5533337093071049, -0.9584020980604534], [0.0, 0.0], [-0.2542534326200156, 0.05227022672977579], [0.0, 0.0], [-0.7323605212736448, -1.2684856323035805], [0.0, 0.0], [0.43793664355772294, -0.7585285171381575], [0.0, 0.0], [-0.5016524440891708, 0.0], [0.0, 0.0], [-1.3974679841332587, 0.0], [0.0, 0.0], [-0.4406831995110247, 0.7632856915951071], [0.0, 0.0], [-0.12146503230211547, -0.21038360729025887], [0.0, 0.0], [-0.11110797976972794, 0.3343377479675962], [0.0, 0.0], [0.7572276876691838, 1.3115568279409233], [0.0, 0.0], [-0.20126686522215032, 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Column	Type
AL_dims	jsonb
ALdims	integer[]
Nk2	integer
a4_dim	integer
a5_dim	integer
analytic_conductor	double precision
char_conductor	integer
char_degree	integer
char_is_real	boolean
char_orbit_index	smallint
char_orbit_label	text
char_order	integer
char_parity	smallint
char_values	jsonb
conrey_index	integer
cusp_dim	integer
dihedral_dim	integer
dim	integer
eis_dim	integer
eis_new_dim	integer
hecke_cutter_primes	integer[]
hecke_orbit_code	bigint
hecke_orbit_dims	integer[]
label	text
level	integer
level_is_prime	boolean
level_is_prime_power	boolean
level_is_square	boolean
level_is_squarefree	boolean
level_primes	integer[]
level_radical	integer
mf_dim	integer
mf_new_dim	integer
num_forms	smallint
plus_dim	integer
prim_orbit_index	smallint
relative_dim	integer
s4_dim	integer
sturm_bound	integer
trace_bound	integer
trace_display	numeric[]
traces	numeric[]
weight	smallint
weight_parity	smallint

mf_newspaces • Show schema

{'Nk2': 4592, 'analytic_conductor': 9.166826152042988, 'char_conductor': 7, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 9, 'char_orbit_label': 'i', 'char_order': 3, 'char_parity': 1, 'char_values': [1148, 3, [575, 493, 785], [3, 2, 3]], 'conrey_index': 165, 'cusp_dim': 324, 'dim': 52, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 11], 'hecke_orbit_code': 549789369468, 'hecke_orbit_dims': [2, 2, 2, 16, 30], 'label': '1148.2.i', 'level': 1148, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 7, 41], 'level_radical': 574, 'mf_dim': 348, 'mf_new_dim': 52, 'num_forms': 5, 'prim_orbit_index': 3, 'relative_dim': 26, 'sturm_bound': 336, 'trace_bound': 7, 'trace_display': [0, 2, 2, 8], 'traces': [52, 0, 2, 0, 2, 0, 8, 0, -28, 0, -2, 0, -8, 0, 0, 0, 0, 0, 2, 0, 0, 0, 4, 0, -24, 0, 8, 0, 16, 0, -18, 0, -12, 0, -26, 0, -8, 0, -6, 0, -16, 0, 24, 0, 2, 0, -10, 0, 0, 0, -8, 0, -12, 0, 64, 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0, -208, 0, -150, 0, -68, 0, -40, 0, -84, 0, 352, 0, -56, 0, 150, 0, -188, 0, 60, 0, -8, 0, -284, 0, 100, 0, 22, 0, 338, 0, -66, 0, 104, 0, -70, 0, -4, 0, -616, 0, 184, 0, -172, 0, -274, 0, 102, 0, 112, 0, 96, 0, 192, 0, 162, 0, -216, 0, 242, 0, 306, 0, 154, 0, -260, 0, 132, 0, -122, 0, -84, 0, -108, 0, 156, 0, 132, 0, -60, 0, -1308, 0, -76, 0, -108, 0, -66, 0, -166, 0, -278, 0, 188, 0, 112, 0, 162, 0, -206, 0, 404, 0, -32, 0, -14, 0, 120, 0, -260, 0, 344, 0, -138, 0, 236, 0, -114, 0, 172, 0, -788, 0, -1060, 0, 24, 0, -424, 0, -234, 0, 394, 0, -146, 0, -56, 0, -344, 0, -4, 0, 380, 0, -260, 0, -160, 0, 240, 0, 296, 0, -212, 0, -400, 0, 90, 0, -162, 0, 216, 0, -216, 0, -452, 0, 620, 0, 66, 0, 114, 0, 218, 0, 132, 0, 200, 0], 'weight': 2, 'weight_parity': 1}

Column	Type
conductor	integer
degree	integer
order	integer
parity	smallint
source_conrey_index	integer
source_dim	integer
source_embedding_index	integer
source_hecke_orbit_code	bigint
source_is_minimal	boolean
source_label	text
source_level	integer
target_conrey_index	integer
target_dim	integer
target_embedding_index	integer
target_hecke_orbit_code	bigint
target_is_minimal	boolean
target_label	text
target_level	integer
twist_class_label	text
twist_class_level	integer
twisting_char_label	text
twisting_conrey_index	integer
weight	smallint

mf_twists_cc • Show schema

id: 44418765
{'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 165, 'source_dim': 30, 'source_embedding_index': 7, 'source_hecke_orbit_code': 18014948298851452, 'source_is_minimal': True, 'source_label': '1148.2.i.e.165.7', 'source_level': 1148, 'target_conrey_index': 165, 'target_dim': 30, 'target_embedding_index': 7, 'target_hecke_orbit_code': 18014948298851452, 'target_is_minimal': True, 'target_label': '1148.2.i.e.165.7', 'target_level': 1148, 'twist_class_label': '1148.2.i.e.165.7', 'twist_class_level': 1148, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
id: 44418766
{'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 165, 'source_dim': 30, 'source_embedding_index': 7, 'source_hecke_orbit_code': 18014948298851452, 'source_is_minimal': True, 'source_label': '1148.2.i.e.165.7', 'source_level': 1148, 'target_conrey_index': 821, 'target_dim': 30, 'target_embedding_index': 7, 'target_hecke_orbit_code': 18014948298851452, 'target_is_minimal': True, 'target_label': '1148.2.i.e.821.7', 'target_level': 1148, 'twist_class_label': '1148.2.i.e.165.7', 'twist_class_level': 1148, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 2}
id: 44418767
{'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 165, 'source_dim': 30, 'source_embedding_index': 7, 'source_hecke_orbit_code': 18014948298851452, 'source_is_minimal': True, 'source_label': '1148.2.i.e.165.7', 'source_level': 1148, 'target_conrey_index': 1, 'target_dim': 15, 'target_embedding_index': 7, 'target_hecke_orbit_code': 76561193698860900, 'target_is_minimal': False, 'target_label': '8036.2.a.r.1.7', 'target_level': 8036, 'twist_class_label': '1148.2.i.e.165.7', 'twist_class_level': 1148, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 2}
id: 44418768
{'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 165, 'source_dim': 30, 'source_embedding_index': 7, 'source_hecke_orbit_code': 18014948298851452, 'source_is_minimal': True, 'source_label': '1148.2.i.e.165.7', 'source_level': 1148, 'target_conrey_index': 1, 'target_dim': 15, 'target_embedding_index': 9, 'target_hecke_orbit_code': 72057594071490404, 'target_is_minimal': False, 'target_label': '8036.2.a.q.1.9', 'target_level': 8036, 'twist_class_label': '1148.2.i.e.165.7', 'twist_class_level': 1148, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 2}

hecke_orbit_code 18014948298851452 does not appear in mf_hecke_charpolys

Column	Type
char_orbit_index	smallint
hecke_orbit	integer
label	text
level	integer
portrait	text
weight	smallint

mf_newform_portraits • Show schema

{'char_orbit_index': 9, 'hecke_orbit': 5, 'label': '1148.2.i.e', 'level': 1148, 'portrait': 'data:image/png;base64,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', 'weight': 2}

Column	Type
hecke_orbit_code	bigint
n	integer
trace_an	numeric

mf_hecke_traces • Show schema

id: 159764000
{'hecke_orbit_code': 18014948298851452, 'n': 1, 'trace_an': 30}
id: 159764001
{'hecke_orbit_code': 18014948298851452, 'n': 2, 'trace_an': 0}
id: 159764002
{'hecke_orbit_code': 18014948298851452, 'n': 3, 'trace_an': 1}
id: 159764003
{'hecke_orbit_code': 18014948298851452, 'n': 4, 'trace_an': 0}
id: 159764004
{'hecke_orbit_code': 18014948298851452, 'n': 5, 'trace_an': -3}
id: 159764005
{'hecke_orbit_code': 18014948298851452, 'n': 6, 'trace_an': 0}
id: 159764006
{'hecke_orbit_code': 18014948298851452, 'n': 7, 'trace_an': 3}
id: 159764007
{'hecke_orbit_code': 18014948298851452, 'n': 8, 'trace_an': 0}
id: 159764008
{'hecke_orbit_code': 18014948298851452, 'n': 9, 'trace_an': -30}
id: 159764009
{'hecke_orbit_code': 18014948298851452, 'n': 10, 'trace_an': 0}
id: 159764010
{'hecke_orbit_code': 18014948298851452, 'n': 11, 'trace_an': -9}
id: 159764011
{'hecke_orbit_code': 18014948298851452, 'n': 12, 'trace_an': 0}
id: 159764012
{'hecke_orbit_code': 18014948298851452, 'n': 13, 'trace_an': 14}
id: 159764013
{'hecke_orbit_code': 18014948298851452, 'n': 14, 'trace_an': 0}
id: 159764014
{'hecke_orbit_code': 18014948298851452, 'n': 15, 'trace_an': 4}
id: 159764015
{'hecke_orbit_code': 18014948298851452, 'n': 16, 'trace_an': 0}
id: 159764016
{'hecke_orbit_code': 18014948298851452, 'n': 17, 'trace_an': -3}
id: 159764017
{'hecke_orbit_code': 18014948298851452, 'n': 18, 'trace_an': 0}
id: 159764018
{'hecke_orbit_code': 18014948298851452, 'n': 19, 'trace_an': -7}
id: 159764019
{'hecke_orbit_code': 18014948298851452, 'n': 20, 'trace_an': 0}
id: 159764020
{'hecke_orbit_code': 18014948298851452, 'n': 21, 'trace_an': -3}
id: 159764021
{'hecke_orbit_code': 18014948298851452, 'n': 22, 'trace_an': 0}
id: 159764022
{'hecke_orbit_code': 18014948298851452, 'n': 23, 'trace_an': 1}
id: 159764023
{'hecke_orbit_code': 18014948298851452, 'n': 24, 'trace_an': 0}
id: 159764024
{'hecke_orbit_code': 18014948298851452, 'n': 25, 'trace_an': -32}
id: 159764025
{'hecke_orbit_code': 18014948298851452, 'n': 26, 'trace_an': 0}
id: 159764026
{'hecke_orbit_code': 18014948298851452, 'n': 27, 'trace_an': 22}
id: 159764027
{'hecke_orbit_code': 18014948298851452, 'n': 28, 'trace_an': 0}
id: 159764028
{'hecke_orbit_code': 18014948298851452, 'n': 29, 'trace_an': 36}
id: 159764029
{'hecke_orbit_code': 18014948298851452, 'n': 30, 'trace_an': 0}
id: 159764030
{'hecke_orbit_code': 18014948298851452, 'n': 31, 'trace_an': -30}
id: 159764031
{'hecke_orbit_code': 18014948298851452, 'n': 32, 'trace_an': 0}
id: 159764032
{'hecke_orbit_code': 18014948298851452, 'n': 33, 'trace_an': 16}
id: 159764033
{'hecke_orbit_code': 18014948298851452, 'n': 34, 'trace_an': 0}
id: 159764034
{'hecke_orbit_code': 18014948298851452, 'n': 35, 'trace_an': -47}
id: 159764035
{'hecke_orbit_code': 18014948298851452, 'n': 36, 'trace_an': 0}
id: 159764036
{'hecke_orbit_code': 18014948298851452, 'n': 37, 'trace_an': -23}
id: 159764037
{'hecke_orbit_code': 18014948298851452, 'n': 38, 'trace_an': 0}
id: 159764038
{'hecke_orbit_code': 18014948298851452, 'n': 39, 'trace_an': -5}
id: 159764039
{'hecke_orbit_code': 18014948298851452, 'n': 40, 'trace_an': 0}
id: 159764040
{'hecke_orbit_code': 18014948298851452, 'n': 41, 'trace_an': -30}
id: 159764041
{'hecke_orbit_code': 18014948298851452, 'n': 42, 'trace_an': 0}
id: 159764042
{'hecke_orbit_code': 18014948298851452, 'n': 43, 'trace_an': 24}
id: 159764043
{'hecke_orbit_code': 18014948298851452, 'n': 44, 'trace_an': 0}
id: 159764044
{'hecke_orbit_code': 18014948298851452, 'n': 45, 'trace_an': 13}
id: 159764045
{'hecke_orbit_code': 18014948298851452, 'n': 46, 'trace_an': 0}
id: 159764046
{'hecke_orbit_code': 18014948298851452, 'n': 47, 'trace_an': 16}
id: 159764047
{'hecke_orbit_code': 18014948298851452, 'n': 48, 'trace_an': 0}
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{'hecke_orbit_code': 18014948298851452, 'n': 872, 'trace_an': 0}
id: 159764872
{'hecke_orbit_code': 18014948298851452, 'n': 873, 'trace_an': 138}
id: 159764873
{'hecke_orbit_code': 18014948298851452, 'n': 874, 'trace_an': 0}
id: 159764874
{'hecke_orbit_code': 18014948298851452, 'n': 875, 'trace_an': 202}
id: 159764875
{'hecke_orbit_code': 18014948298851452, 'n': 876, 'trace_an': 0}
id: 159764876
{'hecke_orbit_code': 18014948298851452, 'n': 877, 'trace_an': -2}
id: 159764877
{'hecke_orbit_code': 18014948298851452, 'n': 878, 'trace_an': 0}
id: 159764878
{'hecke_orbit_code': 18014948298851452, 'n': 879, 'trace_an': 181}
id: 159764879
{'hecke_orbit_code': 18014948298851452, 'n': 880, 'trace_an': 0}
id: 159764880
{'hecke_orbit_code': 18014948298851452, 'n': 881, 'trace_an': -130}
id: 159764881
{'hecke_orbit_code': 18014948298851452, 'n': 882, 'trace_an': 0}
id: 159764882
{'hecke_orbit_code': 18014948298851452, 'n': 883, 'trace_an': 108}
id: 159764883
{'hecke_orbit_code': 18014948298851452, 'n': 884, 'trace_an': 0}
id: 159764884
{'hecke_orbit_code': 18014948298851452, 'n': 885, 'trace_an': -200}
id: 159764885
{'hecke_orbit_code': 18014948298851452, 'n': 886, 'trace_an': 0}
id: 159764886
{'hecke_orbit_code': 18014948298851452, 'n': 887, 'trace_an': -110}
id: 159764887
{'hecke_orbit_code': 18014948298851452, 'n': 888, 'trace_an': 0}
id: 159764888
{'hecke_orbit_code': 18014948298851452, 'n': 889, 'trace_an': 41}
id: 159764889
{'hecke_orbit_code': 18014948298851452, 'n': 890, 'trace_an': 0}
id: 159764890
{'hecke_orbit_code': 18014948298851452, 'n': 891, 'trace_an': 115}
id: 159764891
{'hecke_orbit_code': 18014948298851452, 'n': 892, 'trace_an': 0}
id: 159764892
{'hecke_orbit_code': 18014948298851452, 'n': 893, 'trace_an': 125}
id: 159764893
{'hecke_orbit_code': 18014948298851452, 'n': 894, 'trace_an': 0}
id: 159764894
{'hecke_orbit_code': 18014948298851452, 'n': 895, 'trace_an': -400}
id: 159764895
{'hecke_orbit_code': 18014948298851452, 'n': 896, 'trace_an': 0}
id: 159764896
{'hecke_orbit_code': 18014948298851452, 'n': 897, 'trace_an': -144}
id: 159764897
{'hecke_orbit_code': 18014948298851452, 'n': 898, 'trace_an': 0}
id: 159764898
{'hecke_orbit_code': 18014948298851452, 'n': 899, 'trace_an': 160}
id: 159764899
{'hecke_orbit_code': 18014948298851452, 'n': 900, 'trace_an': 0}
id: 159764900
{'hecke_orbit_code': 18014948298851452, 'n': 901, 'trace_an': -229}
id: 159764901
{'hecke_orbit_code': 18014948298851452, 'n': 902, 'trace_an': 0}
id: 159764902
{'hecke_orbit_code': 18014948298851452, 'n': 903, 'trace_an': -41}
id: 159764903
{'hecke_orbit_code': 18014948298851452, 'n': 904, 'trace_an': 0}
id: 159764904
{'hecke_orbit_code': 18014948298851452, 'n': 905, 'trace_an': 124}
id: 159764905
{'hecke_orbit_code': 18014948298851452, 'n': 906, 'trace_an': 0}
id: 159764906
{'hecke_orbit_code': 18014948298851452, 'n': 907, 'trace_an': -74}
id: 159764907
{'hecke_orbit_code': 18014948298851452, 'n': 908, 'trace_an': 0}
id: 159764908
{'hecke_orbit_code': 18014948298851452, 'n': 909, 'trace_an': -34}
id: 159764909
{'hecke_orbit_code': 18014948298851452, 'n': 910, 'trace_an': 0}
id: 159764910
{'hecke_orbit_code': 18014948298851452, 'n': 911, 'trace_an': -76}
id: 159764911
{'hecke_orbit_code': 18014948298851452, 'n': 912, 'trace_an': 0}
id: 159764912
{'hecke_orbit_code': 18014948298851452, 'n': 913, 'trace_an': 90}
id: 159764913
{'hecke_orbit_code': 18014948298851452, 'n': 914, 'trace_an': 0}
id: 159764914
{'hecke_orbit_code': 18014948298851452, 'n': 915, 'trace_an': -155}
id: 159764915
{'hecke_orbit_code': 18014948298851452, 'n': 916, 'trace_an': 0}
id: 159764916
{'hecke_orbit_code': 18014948298851452, 'n': 917, 'trace_an': -35}
id: 159764917
{'hecke_orbit_code': 18014948298851452, 'n': 918, 'trace_an': 0}
id: 159764918
{'hecke_orbit_code': 18014948298851452, 'n': 919, 'trace_an': 165}
id: 159764919
{'hecke_orbit_code': 18014948298851452, 'n': 920, 'trace_an': 0}
id: 159764920
{'hecke_orbit_code': 18014948298851452, 'n': 921, 'trace_an': -1}
id: 159764921
{'hecke_orbit_code': 18014948298851452, 'n': 922, 'trace_an': 0}
id: 159764922
{'hecke_orbit_code': 18014948298851452, 'n': 923, 'trace_an': 60}
id: 159764923
{'hecke_orbit_code': 18014948298851452, 'n': 924, 'trace_an': 0}
id: 159764924
{'hecke_orbit_code': 18014948298851452, 'n': 925, 'trace_an': 516}
id: 159764925
{'hecke_orbit_code': 18014948298851452, 'n': 926, 'trace_an': 0}
id: 159764926
{'hecke_orbit_code': 18014948298851452, 'n': 927, 'trace_an': 128}
id: 159764927
{'hecke_orbit_code': 18014948298851452, 'n': 928, 'trace_an': 0}
id: 159764928
{'hecke_orbit_code': 18014948298851452, 'n': 929, 'trace_an': 251}
id: 159764929
{'hecke_orbit_code': 18014948298851452, 'n': 930, 'trace_an': 0}
id: 159764930
{'hecke_orbit_code': 18014948298851452, 'n': 931, 'trace_an': 352}
id: 159764931
{'hecke_orbit_code': 18014948298851452, 'n': 932, 'trace_an': 0}
id: 159764932
{'hecke_orbit_code': 18014948298851452, 'n': 933, 'trace_an': 139}
id: 159764933
{'hecke_orbit_code': 18014948298851452, 'n': 934, 'trace_an': 0}
id: 159764934
{'hecke_orbit_code': 18014948298851452, 'n': 935, 'trace_an': 81}
id: 159764935
{'hecke_orbit_code': 18014948298851452, 'n': 936, 'trace_an': 0}
id: 159764936
{'hecke_orbit_code': 18014948298851452, 'n': 937, 'trace_an': -172}
id: 159764937
{'hecke_orbit_code': 18014948298851452, 'n': 938, 'trace_an': 0}
id: 159764938
{'hecke_orbit_code': 18014948298851452, 'n': 939, 'trace_an': 0}
id: 159764939
{'hecke_orbit_code': 18014948298851452, 'n': 940, 'trace_an': 0}
id: 159764940
{'hecke_orbit_code': 18014948298851452, 'n': 941, 'trace_an': 13}
id: 159764941
{'hecke_orbit_code': 18014948298851452, 'n': 942, 'trace_an': 0}
id: 159764942
{'hecke_orbit_code': 18014948298851452, 'n': 943, 'trace_an': -1}
id: 159764943
{'hecke_orbit_code': 18014948298851452, 'n': 944, 'trace_an': 0}
id: 159764944
{'hecke_orbit_code': 18014948298851452, 'n': 945, 'trace_an': 146}
id: 159764945
{'hecke_orbit_code': 18014948298851452, 'n': 946, 'trace_an': 0}
id: 159764946
{'hecke_orbit_code': 18014948298851452, 'n': 947, 'trace_an': 105}
id: 159764947
{'hecke_orbit_code': 18014948298851452, 'n': 948, 'trace_an': 0}
id: 159764948
{'hecke_orbit_code': 18014948298851452, 'n': 949, 'trace_an': -246}
id: 159764949
{'hecke_orbit_code': 18014948298851452, 'n': 950, 'trace_an': 0}
id: 159764950
{'hecke_orbit_code': 18014948298851452, 'n': 951, 'trace_an': 316}
id: 159764951
{'hecke_orbit_code': 18014948298851452, 'n': 952, 'trace_an': 0}
id: 159764952
{'hecke_orbit_code': 18014948298851452, 'n': 953, 'trace_an': 174}
id: 159764953
{'hecke_orbit_code': 18014948298851452, 'n': 954, 'trace_an': 0}
id: 159764954
{'hecke_orbit_code': 18014948298851452, 'n': 955, 'trace_an': 85}
id: 159764955
{'hecke_orbit_code': 18014948298851452, 'n': 956, 'trace_an': 0}
id: 159764956
{'hecke_orbit_code': 18014948298851452, 'n': 957, 'trace_an': 39}
id: 159764957
{'hecke_orbit_code': 18014948298851452, 'n': 958, 'trace_an': 0}
id: 159764958
{'hecke_orbit_code': 18014948298851452, 'n': 959, 'trace_an': -227}
id: 159764959
{'hecke_orbit_code': 18014948298851452, 'n': 960, 'trace_an': 0}
id: 159764960
{'hecke_orbit_code': 18014948298851452, 'n': 961, 'trace_an': 93}
id: 159764961
{'hecke_orbit_code': 18014948298851452, 'n': 962, 'trace_an': 0}
id: 159764962
{'hecke_orbit_code': 18014948298851452, 'n': 963, 'trace_an': -103}
id: 159764963
{'hecke_orbit_code': 18014948298851452, 'n': 964, 'trace_an': 0}
id: 159764964
{'hecke_orbit_code': 18014948298851452, 'n': 965, 'trace_an': -312}
id: 159764965
{'hecke_orbit_code': 18014948298851452, 'n': 966, 'trace_an': 0}
id: 159764966
{'hecke_orbit_code': 18014948298851452, 'n': 967, 'trace_an': -132}
id: 159764967
{'hecke_orbit_code': 18014948298851452, 'n': 968, 'trace_an': 0}
id: 159764968
{'hecke_orbit_code': 18014948298851452, 'n': 969, 'trace_an': -163}
id: 159764969
{'hecke_orbit_code': 18014948298851452, 'n': 970, 'trace_an': 0}
id: 159764970
{'hecke_orbit_code': 18014948298851452, 'n': 971, 'trace_an': -66}
id: 159764971
{'hecke_orbit_code': 18014948298851452, 'n': 972, 'trace_an': 0}
id: 159764972
{'hecke_orbit_code': 18014948298851452, 'n': 973, 'trace_an': -91}
id: 159764973
{'hecke_orbit_code': 18014948298851452, 'n': 974, 'trace_an': 0}
id: 159764974
{'hecke_orbit_code': 18014948298851452, 'n': 975, 'trace_an': 161}
id: 159764975
{'hecke_orbit_code': 18014948298851452, 'n': 976, 'trace_an': 0}
id: 159764976
{'hecke_orbit_code': 18014948298851452, 'n': 977, 'trace_an': 107}
id: 159764977
{'hecke_orbit_code': 18014948298851452, 'n': 978, 'trace_an': 0}
id: 159764978
{'hecke_orbit_code': 18014948298851452, 'n': 979, 'trace_an': -102}
id: 159764979
{'hecke_orbit_code': 18014948298851452, 'n': 980, 'trace_an': 0}
id: 159764980
{'hecke_orbit_code': 18014948298851452, 'n': 981, 'trace_an': 266}
id: 159764981
{'hecke_orbit_code': 18014948298851452, 'n': 982, 'trace_an': 0}
id: 159764982
{'hecke_orbit_code': 18014948298851452, 'n': 983, 'trace_an': -126}
id: 159764983
{'hecke_orbit_code': 18014948298851452, 'n': 984, 'trace_an': 0}
id: 159764984
{'hecke_orbit_code': 18014948298851452, 'n': 985, 'trace_an': -65}
id: 159764985
{'hecke_orbit_code': 18014948298851452, 'n': 986, 'trace_an': 0}
id: 159764986
{'hecke_orbit_code': 18014948298851452, 'n': 987, 'trace_an': 16}
id: 159764987
{'hecke_orbit_code': 18014948298851452, 'n': 988, 'trace_an': 0}
id: 159764988
{'hecke_orbit_code': 18014948298851452, 'n': 989, 'trace_an': -48}
id: 159764989
{'hecke_orbit_code': 18014948298851452, 'n': 990, 'trace_an': 0}
id: 159764990
{'hecke_orbit_code': 18014948298851452, 'n': 991, 'trace_an': -121}
id: 159764991
{'hecke_orbit_code': 18014948298851452, 'n': 992, 'trace_an': 0}
id: 159764992
{'hecke_orbit_code': 18014948298851452, 'n': 993, 'trace_an': 378}
id: 159764993
{'hecke_orbit_code': 18014948298851452, 'n': 994, 'trace_an': 0}
id: 159764994
{'hecke_orbit_code': 18014948298851452, 'n': 995, 'trace_an': -488}
id: 159764995
{'hecke_orbit_code': 18014948298851452, 'n': 996, 'trace_an': 0}
id: 159764996
{'hecke_orbit_code': 18014948298851452, 'n': 997, 'trace_an': -26}
id: 159764997
{'hecke_orbit_code': 18014948298851452, 'n': 998, 'trace_an': 0}
id: 159764998
{'hecke_orbit_code': 18014948298851452, 'n': 999, 'trace_an': -72}
id: 159764999
{'hecke_orbit_code': 18014948298851452, 'n': 1000, 'trace_an': 0}

Overview	Random
Universe	Knowledge

Classical	Maass
Hilbert	Bianchi

Elliptic curves over $\Q$
Elliptic curves over $\Q(\alpha)$
Genus 2 curves over $\Q$
Higher genus families
Abelian varieties over $\F_{q}$

Introduction

L-functions

Modular forms

Varieties

Fields

Representations

Groups

Database

This project is supported by grants from the US National Science Foundation, the UK Engineering and Physical Sciences Research Council, and the Simons Foundation.