LMFDB - Embedded newform data - 1890.2.t.c.1151.2

Formats: - HTML - YAML - JSON - 2024-05-12T05:15:42.117341

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': 7560, 'analytic_conductor': 15.091725982021993, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 63, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 20, 'char_orbit_label': 't', 'char_order': 6, 'char_parity': 1, 'char_values': [1890, 6, [1541, 757, 1081], [5, 6, 1]], 'cm_discs': [], 'conrey_index': 1151, 'conrey_indexes': [1151, 1601], 'dim': 32, 'has_non_self_twist': 1, 'hecke_cutters': [[11, [7925984784, 0, 163189045440, 0, 1050705410940, 0, 3217093370400, 0, 5386432111513, 0, 5254388595732, 0, 3119062315392, 0, 1172182482200, 0, 287650283280, 0, 47134336614, 0, 5234074446, 0, 396304476, 0, 20357652, 0, 694868, 0, 15033, 0, 186, 0, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9008504958355298, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 63, 19, 1, 6, 0]], 'is_cm': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1890.2.t.c', 'level': 1890, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5, 7], 'level_radical': 210, 'minimal_twist': '630.2.t.c', 'prim_orbit_index': 19, 'related_objects': [], 'relative_dim': 16, 'rm_discs': [], 'sato_tate_group': '1.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1890.2.t', 'trace_display': [0, 0, -32, -2], 'traces': [32, 0, 0, 16, -32, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, -16, -6, 0, 0, -16, 0, 0, 0, 0, 32, -12, 0, 2, -6, 0, 18, 0, 0, 0, 2, 0, 2, 0, 0, 0, 6, 0, -28, 6, 0, 0, -24, 0, 32, 0, 0, 0, 36, 0, 0, 6, 0, 0, 30, 0, 54, 0, 0, -32, 0, 0, 4, -12, 0, 0, 0, 0, -30, 0, 0, 0, 6, 0, 4, 16, 0, -24, -6, 0, 6, 0, 0, 0, 12, 0, -66, 18, 0, -42, 0, 0, 96, 24, 0, 16, -84, 0, 0, 12, 0, 0, 24, 0, 2, 0, 0, 4, 54, 0, 0, -6, 0, 0, 72, 0, -20, 0, 0, 18, -32, 0, 112, 0, 0, 12, 60, 0, 6, 0, 0, 0, 0, 0, -42, -2, 0, 0, 96, 0, 6, 18, 0, -2, 0, 0, -124, 0, 0, -60, -18, 0, 102, -30, 0, 0, -30, 0, -2, 12, 0, 0, -18, 0, -64, 0, 0, 28, 78, 0, -2, 6, 0, 0, 102, 0, 0, -24, 0, 0, -2, 0, -12, -48, 0, 0, 0, 0, 56, 72, 0, 40, 0, 0, -18, 0, 0, -18, 60, 0, -6, -42, 0, 0, 30, 0, -88, 0, 0, -96, 28, 0, -90, -90, 0, -6, -6, 0, 66, 6, 0, -30, 24, 0, 0, 0, 0, 0, -96, 0, 24, -30, 0, -30, 30, 0, 0, 12, 0, 0, -32, 0, 24, 0, 0, 0, 0, 0, 156, -60, 0, -16, -84, 0, 106, 0, 0, 48, 0, 0, -36, -78, 0, -4, 60, 0, -24, -6, 0, 12, 0, 0, -20, 18, 0, -6, -24, 0, 30, -18, 0, 42, -78, 0, -70, 0, 0, 0, -18, 0, -30, 18, 0, 72, -42, 0, 64, -78, 0, 0, -54, 0, 0, 0, 0, 0, 36, 0, -102, -60, 0, 8, 72, 0, 12, 32, 0, 108, 0, 0, 0, 0, 0, -24, -24, 0, -70, 6, 0, -18, -4, 0, -106, 0, 0, 12, -54, 0, -80, 30, 0, -6, 54, 0, 108, 0, 0, 0, -48, 0, 0, -12, 0, -18, -90, 0, 8, -48, 0, -48, 30, 0, 0, 18, 0, 0, -36, 0, 76, -30, 0, -42, 36, 0, 176, 0, 0, 66, -96, 0, -6, 0, 0, 96, 0, 0, -192, 0, 0, -42, -4, 0, 0, 24, 0, -16, 0, 0, 36, -42, 0, -24, 12, 0, 84, 24, 0, -12, -18, 0, 6, 24, 0, 0, -12, 0, -44, 102, 0, 0, -6, 0, 114, 24, 0, 0, 96, 0, 0, 42, 0, 4, -54, 0, 54, 0, 0, 12, 72, 0, -12, 36, 0, 2, 0, 0, -96, 0, 0, -66, 66, 0, -46, 12, 0, -18, -66, 0, -50, 0, 0, -120, 36, 0, -88, 42, 0, 0, -60, 0, 0, 24, 0, -66, -108, 0, 0, -24, 0, -10, -96, 0, -34, 0, 0, -24, -174, 0, 0, -12, 0, 0, -54, 0, 128, -16, 0, 42, 72, 0, 84, -126, 0, 56, -12, 0, 0, 0, 0, 48, 0, 0, -270, -48, 0, -12, -18, 0, 66, 30, 0, -18, 0, 0, -44, 0, 0, -90, -6, 0, -24, 36, 0, 78, -72, 0, -56, 180, 0, 0, -2, 0, -200, 0, 0, 0, -12, 0, -106, 0, 0, 0, -6, 0, 0, -4, 0, 120, 60, 0, -54, -168, 0, 0, 12, 0, 28, 192, 0, 162, 0, 0, -324, 0, 0, 6, -42, 0, 6, -18, 0, -12, -54, 0, -84, 0, 0, -4, 36, 0, -72, 24, 0, -138, -54, 0, 84, 60, 0, -62, 20, 0, 0, 0, 0, 0, 102, 0, -44, -24, 0, -72, 168, 0, 0, -18, 0, 0, 30, 0, 32, -60, 0, 102, -12, 0, 244, -30, 0, 108, -112, 0, -66, 0, 0, 0, 0, 0, -132, -12, 0, -90, -108, 0, 246, -12, 0, 2, 0, 0, -60, 6, 0, -168, 48, 0, 306, 180, 0, 30, -6, 0, -48, -36, 0, 0, -12, 0, -190, 30, 0, 64, 78, 0, 162, 0, 0, 0, -174, 0, 0, 18, 0, 56, 36, 0, -30, 156, 0, 12, 42, 0, -102, -48, 0, 2, 0, 0, -48, 0, 0, -90, 84, 0, -124, 0, 0, 72, 24, 0, -96, 0, 0, -180, -96, 0, -30, 216, 0, -54, -6, 0, 216, 18, 0, -18, 204, 0, 0, -6, 0, 0, 216, 0, 46, 2, 0, -96, 12, 0, 0, -24, 0, 0, -108, 0, 8, -24, 0, 24, 124, 0, 140, 36, 0, 0, 60, 0, 22, 0, 0, 204, 0, 0, -210, 60, 0, -56, -12, 0, 18, 36, 0, 30, 0, 0, 240, -102, 0, 8, -102, 0, 264, 54, 0, 30, 108, 0, -114, -24, 0, 0, 54, 0, -54, 0, 0, 72, 6, 0, 30, -12, 0, 0, 144, 0, 0, 96, 0, 252, 2, 0, -204, 0, 0, -12, -402, 0, 16, -84, 0, 252, 0, 0, -162, 0, 0, 0, 192, 0, 18, -30, 0, 0, 54, 0, -50, 0, 0, -176, 64, 0, -106, -36, 0, 0, 90, 0, 264, 84, 0, -48, 264, 0, 0, -28, 0, 84, -228, 0, -78, -66, 0, 30, -54, 0, 0, -90, 0, 0, 2, 0, 172, 12, 0, -6, -96, 0, 440, -6, 0, 138, -156, 0, 2, 0, 0, 66, 0, 0, -102, 0, 0, -132, 102, 0, 102, -90, 0, 30, 0, 0, 224, 12, 0, 24, 90, 0, 198, -102, 0, 48, 234, 0, 74, 0, 0, 0, -96, 0, 2, 186, 0, 0, 66, 0, 102, -96, 0, 0, 12, 0, 0, -108, 0, 48, -246, 0, 24, -60, 0, -252, -132, 0, -12, 0, 0, 66, 0, 0, 0, 0, 0, 6, -30, 0, -46, -84, 0, -24, -56, 0, -170, 0, 0, -72, -114, 0, -30, -168, 0, -54, 150, 0, 276, -40, 0, -84, -516, 0, 0, 66, 0, 12, 18, 0, -34, 0, 0, -198, 18, 0, 0, 126, 0, 0, -36, 0, 48, 0, 0, 60, -156, 0, 244, 18, 0, 78, -324, 0, -60, 0, 0, 192, 0, 0, -96, 96, 0, 16, 6, 0, 174, -42, 0, 42, 0, 0, 64, 132, 0, -40, -138, 0, 174, 0, 0, -36, -300, 0, -30, 204, 0, 0, 48, 0, -68, 60, 0, 258, 88, 0, -26, -12, 0, 0, -318, 0, 0, -60, 0, 252, -156, 0, -372, 96, 0, -8, 678, 0, -28, 120, 0, 306, 0, 0, -198, 0, 0, -24, 90, 0, 28, 6, 0, 90, 108, 0, -218, 0, 0, 24, 48, 0, -198, 6, 0, -102, -54, 0, 6, 150, 0, -10, 204, 0, 0, -18, 0, 48, -66, 0, -226, 96, 0, -6, 150, 0, 0, -24, 0, 0, -234, 0, 304, 30, 0, 30, 276, 0, -24, -18, 0, 72, 276, 0, 80, 0, 0, 42, 0, 0, -108, 0, 0, 0, 42, 0, 6, 156, 0, 70, 0, 0, 192, 0, 0, -30, 36, 0, 96, 6, 0, 30, -162, 0, -136, -36, 0, 0, -24, 0, -84, -186, 0, 30, -78, 0, 172, 18, 0, 0, -84, 0, 0, 30, 0, 144, 216, 0, -30, -84, 0, -204, -78, 0, -106, 96, 0, 80, 0, 0, -204, 0, 0, -12, -126, 0, -176, -60, 0, 0, 48, 0, -186, 0, 0, -240, 228, 0, 32, 36, 0, -66, 234, 0, 210, -6, 0, -48, -24, 0, 0, 18, 0, 0, -48, 0, 24, -36, 0, -138, -402, 0, 0, 0, 0, 0, 72, 0, 0, -30, 0, -144, 180, 0, 204, -108, 0, 4, -156, 0, 0, 0, 0, 60, 0, 0, -546, -186, 0, -12, -24, 0, -198, 16, 0, 12, 0, 0, 84, -96, 0, 60, 234, 0, 12, -54, 0, 42, -106, 0, -200, -24, 0, 0, 108, 0, -82, -6, 0, 108, 150, 0, -180, -48, 0, 0, 522, 0, 0, -48, 0, 132, 18, 0, -246, 144, 0, -140, 36, 0, 86, 12, 0, 78, 0, 0, -114, 0, 0, -18, -90, 0, 6, 4, 0, 30, -306, 0, -60, 0, 0, -212, -96, 0, -236, -72, 0, -288, 24, 0, -144, -36, 0, 6, 228, 0, 0, 54, 0, 60, -252, 0, -264, -12, 0, -58, 108, 0, 0, 30, 0, 0, 192, 0, 284, -12, 0, -6, 20, 0, 480, 54, 0, -18, 288, 0, 54, 0, 0, 108, 0, 0, 126, 6, 0, 12, 126, 0, 24, 18, 0, 0, 0, 0, 84, -24, 0, -48, -30, 0, 30, 18, 0, 18, 228, 0, 98, -24, 0, 0, -54, 0, -88, -42, 0, 18, 180, 0, 78, -90, 0, 0, -306, 0, 0, 204, 0, 16, 70, 0, 132, -96, 0, 0, 240, 0, -196, -24, 0, 18, 0, 0, -240, 0, 0, -6, 204, 0, 18, -30, 0, -78, 42, 0, -64, 0, 0, -228, 30, 0, 298, 282, 0, -18, -138, 0, 30, 54, 0, -96, 144, 0, 0, -72, 0, 38, -114, 0, 42, 30, 0, -300, -6, 0, 0, -42, 0, 0, -64, 0, 120, 18, 0, 78, 24, 0, 168, -66, 0, 88, 120, 0, -42, 0, 0, 252, 0, 0, 54, -144, 0, -66, 18, 0, -84, -48, 0, 120, 0, 0, 120, 0, 0, 0, -108, 0, 306, -48, 0, -234, 66, 0, -46, 0, 0, 0, -78, 0, -36, -42, 0, 102, -252, 0, 132, -192, 0, 0, 102, 0, 0, -24, 0, 60, -30, 0, -198, -372, 0, -84, -258, 0, -32, -8, 0, 174, 0, 0, -72, 0, 0, 0, -174, 0, 188, -24, 0, -96, -12, 0, 20, 0, 0, -32, 60, 0, -30, -120, 0, -282, -54, 0, 264, -108, 0, 18, -516, 0, 0, 42, 0, 132, -60, 0, -74, -126, 0, -60, 0, 0, 0, 12, 0, 0, 456, 0, -108, 30, 0, 84, -384, 0, 456, 24, 0, 216, -312, 0, 24, 0, 0, -12, 0, 0, -72, -18, 0, -120, 70, 0, 252, -30, 0, -6, 0, 0, -152, 12, 0, -162, -252, 0, -36, 18, 0, 48, -330, 0, 4, -24, 0, 0, -30, 0, -310, 156, 0, 44, 106, 0, 282, 102, 0, 0, 54, 0, 0, -228, 0, 0, -174, 0, -264, -12, 0, -348, 72, 0, 54, 252, 0, 138, 0, 0, -222, 0, 0, -36, 80, 0, -42, 48, 0, -30, 114, 0, -62, 0, 0, -372, -168, 0, -18, 6, 0, -150, -324, 0, -54, 102, 0, -108, -312, 0, 0, -78, 0, 2, -108, 0, 68, 54, 0, 0, 312, 0, 0, 234, 0, 0, -78, 0, -580, 0, 0, 252, 180, 0, 48, 18, 0, 6, -72, 0, -426, 0, 0, 288, 0, 0, -318, 252, 0, 12, -228, 0, -6, 18, 0, 150, 0, 0, 356, 18, 0, -2, -180, 0, 90, 24, 0, -198, -168, 0, 14, -264, 0, 0, -8, 0, -6, -54, 0, 48, -342, 0, 326, 246, 0, 0, -318, 0, 0, 48, 0, 60, 234, 0, -30, 108, 0, -92, 192, 0, -200, 24, 0, 174, 0, 0, -18, 0, 0, -18, -168, 0, 132, 66, 0, -138, 132, 0, -18, 0, 0, -100, 102, 0, 36, 6, 0, -444, 12, 0, 558, -180, 0, -60, -76, 0, 0, -36, 0, 30, 714, 0, -4, 108, 0, -80, 294, 0, 0, 42, 0, 0, -96, 0, -36, -30, 0, 0, 132, 0, 264, -60, 0, 30, -176, 0, -138, 0, 0, 0, 0, 0, 180, -48, 0, -90, -294, 0, 156, -66, 0, 66, 0, 0, 96, -54, 0, 108, 384, 0, 462, -60, 0, -90, 6, 0, 240, -48, 0, 0, 84, 0, 10, -192, 0, 10, -168, 0, 464, -96, 0, 0, 132, 0, 0, 174, 0, -68, 168, 0, 186, 0, 0, -228, 192, 0, -252, -588, 0, 0, 0, 0, -396, 0, 0, 150, -120, 0, -120, 42, 0, -192, 150, 0, 4, 0, 0, -384, 60, 0, 72, 138, 0, -18, 0, 0, 54, -42, 0, -24, 144, 0, 0, 144, 0, 64, -120, 0, -44, 16], 'weight': 2, 'weight_parity': 1}

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], [-0.6123724356957945, -0.3535533905932738], [0.0, 0.0], [0.25, 0.4330127018922193], [-0.4472135954999579, 0.0], [0.0, 0.0], [0.9972921327474665, 0.07354183816039363], [0.0, -0.3535533905932738], [0.0, 0.0], [0.27386127875258304, 0.15811388300841897], [0.0, -0.6305093563265073], [0.0, 0.0], [-0.11476072279114694, -0.06625713419586471], [-0.5847132461987508, -0.39763100950469027], [0.0, 0.0], [-0.125, 0.21650635094610965], [0.3494949703652472, -0.6053430456623872], [0.0, 0.0], [0.9255345013764575, -0.5343575935139838], [-0.11180339887498948, -0.19364916731037085], [0.0, 0.0], [-0.22291872073001925, 0.38610655026265084], [0.0, 0.4227916481765462], [0.0, 0.0], [0.2, 0.0], [0.046850868891883016, 0.08114808529948957], [0.0, 0.0], [0.21747848314291426, 0.45022562051693277], [-0.5105467449967948, 0.29476430065778664], [0.0, 0.0], [-0.8249868973463976, 0.4763064072608568], [0.15309310892394862, -0.08838834764831845], [0.0, 0.0], [-0.42804217253199184, 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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': 7560, 'analytic_conductor': 15.091725982021993, 'char_conductor': 63, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 20, 'char_orbit_label': 't', 'char_order': 6, 'char_parity': 1, 'char_values': [1890, 6, [1541, 757, 1081], [5, 6, 1]], 'conrey_index': 1151, 'cusp_dim': 816, 'dim': 64, 'eis_dim': 96, 'eis_new_dim': 0, 'hecke_cutter_primes': [11], 'hecke_orbit_code': 1305703614306, 'hecke_orbit_dims': [4, 28, 32], 'label': '1890.2.t', 'level': 1890, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5, 7], 'level_radical': 210, 'mf_dim': 912, 'mf_new_dim': 64, 'num_forms': 3, 'prim_orbit_index': 19, 'relative_dim': 32, 'sturm_bound': 864, 'trace_bound': 1, 'trace_display': [0, 0, 0, -4], 'traces': [64, 0, 0, 32, 0, 0, -4, 0, 0, 0, 0, 0, 12, -6, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 64, -24, 0, 4, 6, 0, -12, 0, 0, 0, 0, 0, 4, 0, 0, 0, 6, 0, 4, 12, 0, -6, -36, 0, -8, 0, 0, 0, 72, 0, 0, 0, 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-180, 0, 390, -240, 0, 60, -912, 0, 0, 48, 0, 0, 96, 0, 56, -252, 0, 138, 12, 0, 0, 24, 0, 0, 408, 0, -216, -12, 0, -168, -456, 0, 192, 48, 0, 120, -672, 0, -6, 0, 0, -84, 0, 0, 60, 60, 0, -18, 72, 0, 144, -36, 0, -12, 0, 0, -280, 24, 0, -348, -360, 0, -336, 18, 0, 72, -540, 0, -28, -168, 0, 0, -84, 0, -386, 168, 0, -104, 156, 0, 24, 204, 0, 0, -252, 0, 0, -114, 0, 0, -192, 0, -276, 0, 0, -144, 468, 0, 72, -24, 0, 24, 0, 0, -540, 0, 0, -144, 216, 0, -24, 168, 0, -108, 216, 0, 236, 0, 0, -252, -60, 0, -156, 120, 0, -12, -432, 0, 0, 144, 0, -72, -192, 0, 0, -288, 0, -2, -210, 0, 184, 168, 0, -6, -240, 0, 0, 252, 0, 0, -312, 0, -224, 0, 0, 0, 744, 0, -240, 36, 0, 12, 288, 0, -552, 0, 0, 72, 0, 0, -432, 216, 0, 30, -228, 0, 168, 120, 0, -12, 0, 0, 184, 0, 0, -4, -216, 0, 0, 12, 0, 0, -408, 0, -38, -120, 0, 0, 48, 0, 264, -108, 0, 0, -468, 0, 496, 474, 0, 0, -24, 0, 0, 60, 0, -48, 420, 0, 0, -312, 0, 104, -336, 0, -136, 0, 0, -96, 0, 0, 1008, 0, 0, 0, -768, 0, 60, 48, 0, -252, 264, 0, -12, 0, 0, 280, 276, 0, 120, -6, 0, 0, 60, 0, 330, -276, 0, 24, -264, 0, 0, 36, 0, 0, 924, 0, 112, 144, 0, -82, 192, 0, 0, 84, 0, 0, 132, 0, 0, -84, 0, 0, -288, 0, -576, -120, 0, -198, -432, 0, 240, 0, 0, 0, 0, 0, 108, -48, 0, -48, -336, 0, 0, -156, 0, 24, 0, 0, -72, -108, 0, 180, 480, 0, 612, -120, 0, 12, 12, 0, 0, -192, 0, 0, 132, 0, 92, -150, 0, 20, 60, 0, 232, -180, 0, 0, -24, 0, 0, 132, 0, -208, 150, 0, 120, 0, 0, 144, 384, 0, -204, -696, 0, 0, 0, 0, -348, 0, 0, 126, -144, 0, -120, 108, 0, 0, 72, 0, 8, 0, 0, 0, -216, 0, 6, 420, 0, 12, -168, 0, 204, -108, 0, -24, -144, 0, 0, 192, 0, 32, 228, 0, 164, 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: 41568639
{'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1151, 'source_dim': 32, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9008504958355298, 'source_is_minimal': False, 'source_label': '1890.2.t.c.1151.2', 'source_level': 1890, 'target_conrey_index': 1151, 'target_dim': 32, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9008504958355298, 'target_is_minimal': False, 'target_label': '1890.2.t.c.1151.2', 'target_level': 1890, 'twist_class_label': '630.2.t.c.311.13', 'twist_class_level': 630, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
id: 41568640
{'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1151, 'source_dim': 32, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9008504958355298, 'source_is_minimal': False, 'source_label': '1890.2.t.c.1151.2', 'source_level': 1890, 'target_conrey_index': 311, 'target_dim': 32, 'target_embedding_index': 13, 'target_hecke_orbit_code': 9008504958354038, 'target_is_minimal': True, 'target_label': '630.2.t.c.311.13', 'target_level': 630, 'twist_class_label': '630.2.t.c.311.13', 'twist_class_level': 630, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
id: 41568641
{'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1151, 'source_dim': 32, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9008504958355298, 'source_is_minimal': False, 'source_label': '1890.2.t.c.1151.2', 'source_level': 1890, 'target_conrey_index': 341, 'target_dim': 32, 'target_embedding_index': 14, 'target_hecke_orbit_code': 9009673189459810, 'target_is_minimal': False, 'target_label': '1890.2.bk.c.341.14', 'target_level': 1890, 'twist_class_label': '630.2.t.c.311.13', 'twist_class_level': 630, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 2}
id: 41568642
{'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1151, 'source_dim': 32, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9008504958355298, 'source_is_minimal': False, 'source_label': '1890.2.t.c.1151.2', 'source_level': 1890, 'target_conrey_index': 521, 'target_dim': 32, 'target_embedding_index': 14, 'target_hecke_orbit_code': 9009673189459810, 'target_is_minimal': False, 'target_label': '1890.2.bk.c.521.14', 'target_level': 1890, 'twist_class_label': '630.2.t.c.311.13', 'twist_class_level': 630, 'twisting_char_label': '9.2', 'twisting_conrey_index': 2, 'weight': 2}
id: 41568643
{'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1151, 'source_dim': 32, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9008504958355298, 'source_is_minimal': False, 'source_label': '1890.2.t.c.1151.2', 'source_level': 1890, 'target_conrey_index': 101, 'target_dim': 32, 'target_embedding_index': 15, 'target_hecke_orbit_code': 9009673189458550, 'target_is_minimal': True, 'target_label': '630.2.bk.c.101.15', 'target_level': 630, 'twist_class_label': '630.2.t.c.311.13', 'twist_class_level': 630, 'twisting_char_label': '9.7', 'twisting_conrey_index': 7, 'weight': 2}
id: 41568644
{'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1151, 'source_dim': 32, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9008504958355298, 'source_is_minimal': False, 'source_label': '1890.2.t.c.1151.2', 'source_level': 1890, 'target_conrey_index': 131, 'target_dim': 32, 'target_embedding_index': 7, 'target_hecke_orbit_code': 9009673189458550, 'target_is_minimal': True, 'target_label': '630.2.bk.c.131.7', 'target_level': 630, 'twist_class_label': '630.2.t.c.311.13', 'twist_class_level': 630, 'twisting_char_label': '21.5', 'twisting_conrey_index': 5, 'weight': 2}
id: 41568645
{'conductor': 63, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1151, 'source_dim': 32, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9008504958355298, 'source_is_minimal': False, 'source_label': '1890.2.t.c.1151.2', 'source_level': 1890, 'target_conrey_index': 1601, 'target_dim': 32, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9008504958355298, 'target_is_minimal': False, 'target_label': '1890.2.t.c.1601.2', 'target_level': 1890, 'twist_class_label': '630.2.t.c.311.13', 'twist_class_level': 630, 'twisting_char_label': '63.47', 'twisting_conrey_index': 47, 'weight': 2}
id: 41568646
{'conductor': 63, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1151, 'source_dim': 32, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9008504958355298, 'source_is_minimal': False, 'source_label': '1890.2.t.c.1151.2', 'source_level': 1890, 'target_conrey_index': 551, 'target_dim': 32, 'target_embedding_index': 13, 'target_hecke_orbit_code': 9008504958354038, 'target_is_minimal': True, 'target_label': '630.2.t.c.551.13', 'target_level': 630, 'twist_class_label': '630.2.t.c.311.13', 'twist_class_level': 630, 'twisting_char_label': '63.61', 'twisting_conrey_index': 61, 'weight': 2}

hecke_orbit_code 9008504958355298 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': 20, 'hecke_orbit': 3, 'label': '1890.2.t.c', 'level': 1890, '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: 123636000
{'hecke_orbit_code': 9008504958355298, 'n': 1, 'trace_an': 32}
id: 123636001
{'hecke_orbit_code': 9008504958355298, 'n': 2, 'trace_an': 0}
id: 123636002
{'hecke_orbit_code': 9008504958355298, 'n': 3, 'trace_an': 0}
id: 123636003
{'hecke_orbit_code': 9008504958355298, 'n': 4, 'trace_an': 16}
id: 123636004
{'hecke_orbit_code': 9008504958355298, 'n': 5, 'trace_an': -32}
id: 123636005
{'hecke_orbit_code': 9008504958355298, 'n': 6, 'trace_an': 0}
id: 123636006
{'hecke_orbit_code': 9008504958355298, 'n': 7, 'trace_an': -2}
id: 123636007
{'hecke_orbit_code': 9008504958355298, 'n': 8, 'trace_an': 0}
id: 123636008
{'hecke_orbit_code': 9008504958355298, 'n': 9, 'trace_an': 0}
id: 123636009
{'hecke_orbit_code': 9008504958355298, 'n': 10, 'trace_an': 0}
id: 123636010
{'hecke_orbit_code': 9008504958355298, 'n': 11, 'trace_an': 0}
id: 123636011
{'hecke_orbit_code': 9008504958355298, 'n': 12, 'trace_an': 0}
id: 123636012
{'hecke_orbit_code': 9008504958355298, 'n': 13, 'trace_an': 0}
id: 123636013
{'hecke_orbit_code': 9008504958355298, 'n': 14, 'trace_an': 0}
id: 123636014
{'hecke_orbit_code': 9008504958355298, 'n': 15, 'trace_an': 0}
id: 123636015
{'hecke_orbit_code': 9008504958355298, 'n': 16, 'trace_an': -16}
id: 123636016
{'hecke_orbit_code': 9008504958355298, 'n': 17, 'trace_an': -6}
id: 123636017
{'hecke_orbit_code': 9008504958355298, 'n': 18, 'trace_an': 0}
id: 123636018
{'hecke_orbit_code': 9008504958355298, 'n': 19, 'trace_an': 0}
id: 123636019
{'hecke_orbit_code': 9008504958355298, 'n': 20, 'trace_an': -16}
id: 123636020
{'hecke_orbit_code': 9008504958355298, 'n': 21, 'trace_an': 0}
id: 123636021
{'hecke_orbit_code': 9008504958355298, 'n': 22, 'trace_an': 0}
id: 123636022
{'hecke_orbit_code': 9008504958355298, 'n': 23, 'trace_an': 0}
id: 123636023
{'hecke_orbit_code': 9008504958355298, 'n': 24, 'trace_an': 0}
id: 123636024
{'hecke_orbit_code': 9008504958355298, 'n': 25, 'trace_an': 32}
id: 123636025
{'hecke_orbit_code': 9008504958355298, 'n': 26, 'trace_an': -12}
id: 123636026
{'hecke_orbit_code': 9008504958355298, 'n': 27, 'trace_an': 0}
id: 123636027
{'hecke_orbit_code': 9008504958355298, 'n': 28, 'trace_an': 2}
id: 123636028
{'hecke_orbit_code': 9008504958355298, 'n': 29, 'trace_an': -6}
id: 123636029
{'hecke_orbit_code': 9008504958355298, 'n': 30, 'trace_an': 0}
id: 123636030
{'hecke_orbit_code': 9008504958355298, 'n': 31, 'trace_an': 18}
id: 123636031
{'hecke_orbit_code': 9008504958355298, 'n': 32, 'trace_an': 0}
id: 123636032
{'hecke_orbit_code': 9008504958355298, 'n': 33, 'trace_an': 0}
id: 123636033
{'hecke_orbit_code': 9008504958355298, 'n': 34, 'trace_an': 0}
id: 123636034
{'hecke_orbit_code': 9008504958355298, 'n': 35, 'trace_an': 2}
id: 123636035
{'hecke_orbit_code': 9008504958355298, 'n': 36, 'trace_an': 0}
id: 123636036
{'hecke_orbit_code': 9008504958355298, 'n': 37, 'trace_an': 2}
id: 123636037
{'hecke_orbit_code': 9008504958355298, 'n': 38, 'trace_an': 0}
id: 123636038
{'hecke_orbit_code': 9008504958355298, 'n': 39, 'trace_an': 0}
id: 123636039
{'hecke_orbit_code': 9008504958355298, 'n': 40, 'trace_an': 0}
id: 123636040
{'hecke_orbit_code': 9008504958355298, 'n': 41, 'trace_an': 6}
id: 123636041
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id: 123636908
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id: 123636910
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id: 123636911
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id: 123636912
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id: 123636913
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id: 123636914
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id: 123636915
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id: 123636916
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id: 123636917
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id: 123636918
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id: 123636919
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id: 123636920
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id: 123636921
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id: 123636922
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id: 123636923
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id: 123636925
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id: 123636926
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id: 123636927
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id: 123636939
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id: 123636940
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id: 123636941
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id: 123636942
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id: 123636943
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id: 123636944
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id: 123636945
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id: 123636946
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id: 123636947
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id: 123636948
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id: 123636949
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id: 123636955
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id: 123636956
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id: 123636957
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id: 123636958
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id: 123636959
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id: 123636960
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id: 123636961
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id: 123636962
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id: 123636963
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id: 123636964
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id: 123636965
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id: 123636966
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id: 123636967
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id: 123636968
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id: 123636969
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id: 123636970
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id: 123636971
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id: 123636972
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id: 123636973
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id: 123636974
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id: 123636975
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id: 123636976
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id: 123636977
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id: 123636978
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id: 123636979
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id: 123636980
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id: 123636981
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id: 123636982
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id: 123636983
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id: 123636984
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id: 123636985
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id: 123636986
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id: 123636987
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id: 123636988
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id: 123636989
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id: 123636990
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id: 123636991
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id: 123636992
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id: 123636993
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id: 123636994
{'hecke_orbit_code': 9008504958355298, 'n': 995, 'trace_an': 18}
id: 123636995
{'hecke_orbit_code': 9008504958355298, 'n': 996, 'trace_an': 0}
id: 123636996
{'hecke_orbit_code': 9008504958355298, 'n': 997, 'trace_an': 0}
id: 123636997
{'hecke_orbit_code': 9008504958355298, 'n': 998, 'trace_an': 126}
id: 123636998
{'hecke_orbit_code': 9008504958355298, 'n': 999, 'trace_an': 0}
id: 123636999
{'hecke_orbit_code': 9008504958355298, '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.