LMFDB - Embedded newform data - 1638.2.bj.f.127.3

Formats: - HTML - YAML - JSON - 2024-10-04T05:32:57.106414

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
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_largest	boolean
is_maximal	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_powerful	boolean
level_is_prime	boolean
level_is_prime_power	boolean
level_is_prime_square	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': 6552, 'analytic_conductor': 13.079495851085728, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 13, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 36, 'char_orbit_label': 'bj', 'char_order': 6, 'char_parity': 1, 'char_values': [1638, 6, [911, 703, 379], [6, 6, 5]], 'cm_discs': [], 'conrey_index': 127, 'dim': 8, 'field_disc': 195105024, 'field_disc_factorization': [[2, 8], [3, 4], [97, 2]], 'field_poly': [81, -108, 45, 12, -20, 4, 5, -4, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [64, 0, 608, 0, 276, 0, 32, 0, 1]], [11, [1024, 2304, 2016, 648, -31, -54, 3, 6, 1]]], 'hecke_orbit': 6, 'hecke_orbit_code': 22520403352094310, 'hecke_ring_generator_nbound': 11, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 13, 5, 1, 6, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1638.2.bj.f', 'level': 1638, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7, 13], 'level_radical': 546, 'minimal_twist': '546.2.s.e', 'nf_label': '8.0.195105024.2', 'prim_orbit_index': 5, 'qexp_display': 'q-\\beta _{2}q^{2}-\\beta _{4}q^{4}+(1-\\beta _{1}+\\beta _{2}-\\beta _{3}+\\cdots)q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1638.2.bj', 'trace_display': [0, 0, 0, 0], 'trace_hash': 64126593639094677, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '7.761', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '265.219', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '15256.668', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.179', 'prec': 17}, 'traces': [8, 0, 0, 4, 0, 0, 0, 0, 0, 6, -6, 0, 12, -8, 0, -4, -2, 0, -12, 6, 0, -4, -8, 0, -24, -6, 0, 0, -2, 0, 0, 0, 0, 0, 6, 0, 18, 4, 0, 12, -12, 0, -8, 0, 0, 18, 0, 0, 4, -12, 0, 12, 12, 0, -22, -4, 0, -24, -18, 0, -8, -8, 0, -8, -46, 0, 18, 2, 0, 0, -6, 0, 0, 6, 0, -12, 8, 0, -4, 6, 0, 10, 0, 0, -54, 0, 0, 4, 18, 0, 6, -16, 0, -2, 50, 0, -54, 0, 0, -12, 12, 0, -44, 0, 0, -6, 18, 0, 0, 18, 0, 0, -18, 0, -36, -4, 0, 8, -6, 0, -14, 0, 0, -30, 0, 0, 40, 0, 0, -4, -4, 0, -2, 24, 0, -6, -12, 0, -8, -6, 0, -24, -16, 0, 66, 28, 0, 0, -12, 0, 0, 2, 0, 6, 80, 0, 48, -12, 0, 6, 0, 0, 36, 0, 0, 22, -24, 0, 12, 12, 0, 8, 6, 0, 12, 6, 0, -38, 28, 0, -8, -12, 0, 18, 12, 0, 0, -12, 0, 0, 14, 0, -90, 44, 0, 8, -66, 0, -10, 0, 0, 72, 0, 0, 42, 72, 0, 0, 40, 0, 4, 6, 0, 48, 0, 0, -8, -6, 0, -44, -42, 0, 0, 4, 0, 0, -96, 0, 0, -24, 0, -24, 116, 0, 28, -18, 0, 2, 0, 0, 24, 0, 0, 8, -6, 0, 110, -16, 0, -48, 32, 0, 24, -12, 0, -4, -2, 0, -12, -50, 0, -48, 10, 0, 0, 12, 0, 0, -32, 0, -6, 4, 0, 32, -30, 0, -12, 0, 0, -6, 0, 0, 24, -6, 0, 14, -20, 0, 4, 22, 0, 12, -36, 0, -64, -6, 0, 52, -54, 0, -30, 0, 0, 0, -150, 0, 0, 4, 0, 24, -80, 0, 132, -36, 0, -2, 0, 0, 30, 0, 0, 8, 150, 0, 72, 28, 0, -10, -2, 0, -36, 48, 0, 0, -8, 0, 12, -8, 0, -54, 46, 0, 0, -30, 0, 0, 10, 0, -48, 24, 0, 8, -90, 0, 48, 0, 0, 36, 0, 0, 62, 30, 0, 6, -176, 0, 20, -8, 0, 96, 6, 0, -90, 34, 0, -4, 56, 0, -138, -50, 0, 0, -36, 0, 0, -24, 0, -54, 80, 0, -16, 0, 0, -6, 0, 0, -24, 0, 0, 12, -12, 0, 56, 24, 0, 2, 18, 0, 30, -42, 0, -22, -4, 0, -48, 6, 0, -54, 44, 0, 0, 0, 0, 0, 42, 0, 48, 36, 0, 32, 42, 0, -20, 0, 0, -66, 0, 0, 68, 18, 0, 18, 28, 0, -42, -2, 0, 0, 210, 0, -40, 18, 0, -48, 2, 0, -6, 52, 0, 0, 24, 0, 0, -2, 0, 6, 148, 0, -48, -126, 0, 4, 0, 0, 216, 0, 0, -12, 108, 0, 0, -72, 0, 14, 0, 0, -18, 48, 0, -6, 40, 0, 32, 80, 0, -30, 12, 0, 0, -48, 0, 0, -24, 0, -204, -8, 0, 80, -54, 0, 28, 0, 0, 78, 0, 0, 84, -18, 0, -2, 0, 0, -68, -2, 0, 6, 42, 0, -2, -2, 0, -4, -36, 0, -126, -24, 0, 0, -6, 0, 0, -28, 0, -6, 16, 0, 124, -12, 0, 24, 0, 0, 12, 0, 0, 8, 66, 0, -62, -12, 0, -30, -30, 0, -12, -36, 0, -12, -6, 0, -32, -32, 0, 12, -96, 0, 0, 24, 0, 0, 22, 0, 42, 56, 0, -40, -60, 0, -42, 0, 0, -18, 0, 0, -6, -12, 0, -48, 104, 0, -54, 8, 0, -18, -84, 0, -74, -2, 0, -20, 22, 0, -108, -18, 0, 0, -90, 0, 0, 40, 0, 6, 76, 0, 184, 30, 0, 24, 0, 0, 102, 0, 0, -54, -108, 0, 0, 8, 0, -6, 8, 0, -108, -18, 0, 8, 44, 0, -48, 42, 0, 36, 82, 0, 0, 12, 0, 0, 26, 0, -12, -120, 0, 44, -30, 0, 56, 0, 0, 108, 0, 0, -32, 24, 0, -30, -68, 0, -22, 6, 0, 6, 0, 0, 36, -4, 0, 16, 146, 0, -132, -6, 0, 0, -90, 0, 0, -42, 0, 12, 20, 0, -60, 6, 0, 8, 0, 0, 114, 0, 0, 38, -54, 0, -8, 56, 0, 18, 64, 0, -72, 96, 0, -4, 78, 0, 144, -12, 0, -48, -52, 0, 0, -90, 0, 0, 16, 0, -78, 24, 0, -12, 18, 0, 0, 0, 0, -36, 0, 0, 30, -12, 0, 10, 12, 0, 34, 38, 0, -30, -180, 0, -6, -14, 0, 44, -196, 0, -42, 22, 0, 0, 12, 0, 0, 22, 0, -150, -92, 0, 36, -102, 0, 4, 0, 0, -96, 0, 0, -42, -42, 0, -46, -72, 0, 10, -90, 0, 18, 12, 0, 32, -60, 0, 48, -28, 0, 72, -82, 0, 0, 24, 0, 0, -112, 0, 102, 100, 0, 84, 6, 0, -24, 0, 0, 18, 0, 0, 44, -144, 0, -12, -4, 0, -64, 20, 0, -66, 72, 0, 50, -32, 0, 8, 18, 0, 24, -6, 0, 0, 72, 0, 0, 8, 0, 48, 40, 0, 24, 0, 0, -20, 0, 0, 60, 0, 0, 8, -54, 0, 4, -12, 0, -100, -48, 0, -90, -48, 0, -22, 46, 0, 264, -84, 0, -120, -12, 0, 0, -90, 0, 0, 50, 0, 156, 8, 0, -20, -66, 0, 108, 0, 0, -42, 0, 0, 98, -96, 0, 46, 28, 0, -10, -44, 0, -24, 48, 0, -2, 24, 0, 144, 90, 0, -234, -24, 0, 0, 126, 0, 0, 58, 0, -48, 28, 0, -72, -18, 0, 14, 0, 0, 60, 0, 0, 30, -30, 0, -92, 324, 0, -2, -30, 0, -72, 54, 0, -34, -16, 0, 20, 42, 0, 24, -54, 0, 0, 24, 0, 0, 70, 0, 6, 40, 0, 16, -108, 0, -4, 0, 0, -12, 0, 0, 30, 30, 0, 4, 128, 0, -110, -8, 0, 6, 120, 0, 20, 54, 0, -96, 26, 0, -186, -32, 0, 0, 276, 0, 0, 12, 0, 24, -136, 0, -44, -12, 0, -14, 0, 0, 72, 0, 0, 4, 24, 0, 0, -4, 0, 64, -32, 0, -78, -66, 0, -6, -46, 0, 180, -4, 0, -90, -26, 0, 0, -18, 0, 0, -98, 0, 78, 20, 0, -88, -60, 0, 0, 0, 0, -114, 0, 0, 34, 12, 0, 0, 76, 0, -52, -58, 0, -18, -66, 0, -12, 32, 0, -8, 18, 0, -228, -30, 0, 0, -24, 0, 0, 2, 0, 60, -60, 0, 0, 30, 0, 16, 0, 0, 36, 0, 0, 54, -162, 0, 46, 4, 0, 12, 120, 0, -228, 6, 0, 38, 136, 0, 160, 56, 0, -6, -152, 0, 0, 66, 0, 0, 8, 0, -48, -80, 0, 48, 18, 0, 4, 0, 0, 78, 0, 0, -14, 114, 0, 40, 84, 0, -24, -10, 0, -174, 24, 0, -24, -10, 0, 8, 120, 0, 126, -22, 0, 0, 0, 0, 0, -56, 0, 12, 0, 0, -52, -36, 0, 6, 0, 0, -78, 0, 0, 64, -180, 0, -32, -12, 0, 14, 44, 0, -84, 54, 0, 26, -8, 0, -16, -90, 0, -42, 46, 0, 0, 126, 0, 0, -24, 0, 66, 0, 0, -80, -66, 0, 88, 0, 0, 12, 0, 0, -90, -150, 0, -212, 120, 0, -12, 80, 0, 12, 66, 0, -16, -4, 0, 180, 182, 0, -48, -6, 0, 0, -84, 0, 0, -40, 0, -18, -92, 0, -20, 300, 0, 66, 0, 0, 120, 0, 0, 54, -48, 0, -102, -104, 0, 2, -44, 0, -30, 60, 0, -28, -26, 0, 208, -6, 0, 30, -56, 0, 0, -6, 0, 0, -100, 0, -294, -180, 0, 16, -48, 0, 32, 0, 0, 90, 0, 0, 116, 108, 0, -24, 260, 0, 10, 14, 0, -150, 42, 0, 34, 32, 0, -20, -120, 0, -120, 2, 0, 0, 96, 0, 0, 50, 0, -36, 252, 0, 140, 48, 0, -50, 0, 0, 36, 0, 0, 0, 12, 0, -268, -16, 0, 14, -44, 0, 72, -168, 0, 6, 78, 0, 48, -40, 0, -102, -96, 0, 0, 54, 0, 0, -150, 0, 48, 92, 0, -208, -174, 0, -52, 0, 0, 0, 0, 0, -8, -30, 0, 40, 12, 0, -12, -20, 0, -66, 348, 0, 92, -10, 0, 236, -68, 0, -48, -28, 0, 0, -120, 0, 0, 12, 0, 78, -100, 0, -96, -150, 0, 4, 0, 0, 108, 0, 0, -12, 168, 0, -2, 44, 0, -48, 2, 0, -42, -18, 0, 32, -44, 0, 252, 98, 0, 36, 102, 0, 0, 90, 0, 0, -78, 0, 192, 44, 0, 124, 36, 0, -20, 0, 0, 180, 0, 0, 44, -114, 0, 0, -220, 0, 96, -88, 0, 66, 54, 0, -16, -36, 0, 40, -82, 0, -102, 8, 0, 0, -186, 0, 0, -36, 0, 96, -116, 0, -32, 6, 0, -28, 0, 0, 180, 0, 0, 90, -42, 0, 52, 68, 0, -18, -48, 0, -48, 156, 0, -2, -16, 0, -8, 52, 0, -234, -108, 0, 0, -42, 0, 0, -42, 0, 30, -100, 0, 88, -138, 0, 60, 0, 0, 12, 0, 0, -40, -36, 0, -46, 220, 0, 70, 18, 0, -18, 60, 0, 4, 24, 0, 72, -42, 0, -36, 60, 0, 0, 234, 0, 0, 40, 0, 12, -72, 0, 4, -6, 0, -8, 0, 0, 30, 0, 0, 44, -24, 0, -40, -36, 0, 6, -26, 0, 36, 18, 0, 18, 64, 0, 120, 4, 0, -24, 24, 0, 0, -48, 0, 0, 18, 0, -96, -304, 0, 24, 216, 0, 52, 0, 0, 12, 0, 0, -88, 36, 0, -2, 32, 0, 166, 12, 0, -66, -78, 0, -2, 144, 0, 4, 160, 0, -60, -18, 0, 0, -6, 0, 0, -50, 0, 30, -96, 0, 32, -42, 0, 34, 0, 0, 126, 0, 0, 22, 78, 0, -80, -8, 0, 32, 148, 0, 78, -42, 0, -24, 138, 0, 84, 6, 0, 6, 34, 0, 0, 96, 0, 0, -12, 0, -102, 88, 0, -128, -144, 0, -58, 0, 0, -48, 0, 0, 36, 0, 0, 210, -44, 0, 196, 14, 0, 6, 18, 0, 76, -42, 0, 72, 88, 0, -96, -36, 0, 0, 6, 0, 0, 18, 0, -108, 12, 0, -96, 18, 0, 16, 0, 0, 120, 0, 0, -132, 72, 0, -52, 16, 0, 20, 30, 0, -138, 30, 0, 44, 126, 0, 80, 112, 0, -66, 0, 0, 0, -60, 0, 0, -22, 0, -30, -244, 0, 136, 18, 0, 86, 0, 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], [0.6123724356957945, -0.3535533905932738], [0.0, 0.0], [0.25, -0.4330127018922193], [0.0, 0.1488360879599013], [0.0, 0.0], [-0.3273268353539886, -0.18898223650461363], [0.0, -0.3535533905932738], [0.0, 0.0], [0.05262150354086184, 0.09114311770343829], [-0.6815753247748109, 0.39350769723174367], [0.0, 0.0], [0.9461526110905233, -0.32372092383190965], [-0.2672612419124244, 0.0], [0.0, 0.0], [-0.125, -0.21650635094610965], [0.47144825747363733, -0.8165723350841535], [0.0, 0.0], [1.1149539738715981, 0.6437189769488102], [0.06444791658658489, 0.037209021989975326], [0.0, 0.0], [-0.2782519611616688, 0.4819465340376923], [-0.43919065122029904, -0.76070052212282], [0.0, 0.0], [0.9778478189207925, 0.0], [0.46494514876668097, -0.5327532342823729], [0.0, 0.0], [-0.1636634176769943, 0.09449111825230681], [-0.11017995735990635, -0.19083728412313028], [0.0, 0.0], [0.0, -1.270588322672998], [-0.15309310892394862, -0.08838834764831845], [0.0, 0.0], [0.0, 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Column	Type
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_powerful	boolean
level_is_prime	boolean
level_is_prime_power	boolean
level_is_prime_square	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': 6552, 'analytic_conductor': 13.079495851085728, 'char_conductor': 13, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 36, 'char_orbit_label': 'bj', 'char_order': 6, 'char_parity': 1, 'char_values': [1638, 6, [911, 703, 379], [6, 6, 5]], 'conrey_index': 127, 'cusp_dim': 640, 'dim': 72, 'eis_dim': 64, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 11], 'hecke_orbit_code': 2405215241830, 'hecke_orbit_dims': [4, 4, 4, 4, 4, 8, 12, 16, 16], 'label': '1638.2.bj', 'level': 1638, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7, 13], 'level_radical': 546, 'mf_dim': 704, 'mf_new_dim': 72, 'num_forms': 9, 'prim_orbit_index': 5, 'relative_dim': 36, 'sturm_bound': 672, 'trace_bound': 13, 'trace_display': [0, 0, 0, 0], 'traces': [72, 0, 0, 36, 0, 0, 0, 0, 0, 0, -12, 0, 20, -8, 0, -36, -4, 0, 0, 0, 0, -4, -8, 0, -88, 0, 0, 0, 4, 0, 0, 0, 0, 0, 8, 0, 0, -32, 0, 0, 60, 0, -12, 0, 0, 12, 0, 0, 36, 12, 0, 4, 8, 0, 28, -4, 0, 12, -96, 0, -4, -12, 0, -72, 0, 0, -36, 4, 0, 0, -24, 0, 0, 8, 0, 0, 32, 0, 8, 0, 0, 20, 0, 0, 0, 0, 0, 4, 72, 0, -4, -16, 0, -16, 12, 0, 0, 0, 0, -44, 44, 0, -32, 12, 0, -12, 32, 0, 0, -60, 0, 0, 36, 0, -72, 8, 0, 32, -12, 0, 52, 0, 0, -36, 0, 0, 4, 0, 0, -56, -8, 0, 0, -20, 0, 12, 48, 0, -12, -8, 0, -56, 4, 0, -96, -8, 0, 0, -60, 0, 0, -16, 0, 24, 104, 0, 16, -12, 0, 0, 0, 0, 60, 0, 0, 4, -84, 0, 40, -128, 0, 12, 4, 0, 84, 12, 0, 40, 0, 0, 152, -8, 0, 12, 68, 0, 0, 48, 0, 0, -20, 0, 48, 80, 0, 72, 0, 0, -8, 0, 0, 84, 0, 0, -64, 120, 0, -16, 128, 0, 36, 4, 0, -48, -12, 0, -8, -24, 0, 56, -16, 0, 0, 4, 0, 0, 0, 0, 0, -40, 0, 12, 184, 0, -128, -96, 0, 4, 0, 0, 96, 0, 0, 4, 0, 0, 188, -24, 0, 0, -4, 0, -48, -48, 0, -36, 52, 0, -64, -48, 0, -84, -92, 0, 0, 24, 0, 0, -60, 0, 84, 8, 0, 24, -144, 0, -88, 0, 0, 0, 0, 0, 72, -24, 0, 80, 8, 0, -52, 8, 0, 0, 60, 0, -108, -8, 0, 8, -84, 0, 24, 0, 0, 0, -84, 0, 0, 16, 0, -300, -184, 0, -64, -72, 0, 4, 0, 0, -132, 0, 0, 4, -72, 0, -112, -104, 0, -20, 0, 0, -60, -12, 0, 44, 28, 0, -64, 36, 0, 0, 16, 0, 0, -36, 0, 0, -44, 0, -108, 40, 0, 8, -12, 0, -204, 0, 0, -120, 0, 0, 60, 132, 0, -20, -184, 0, -28, -8, 0, -60, 72, 0, -48, 52, 0, -32, 84, 0, 60, -12, 0, 0, -36, 0, 0, 4, 0, 0, 104, 0, 168, 0, 0, -8, 0, 0, 12, 0, 0, 44, 132, 0, -36, 88, 0, -16, 84, 0, 144, 72, 0, -16, -20, 0, 288, 12, 0, 216, -60, 0, 0, -12, 0, 0, 64, 0, -24, 64, 0, 248, -180, 0, 176, 0, 0, 96, 0, 0, 188, -60, 0, 52, 288, 0, -128, 72, 0, 0, 156, 0, 84, -36, 0, -48, -116, 0, 144, 8, 0, 0, -24, 0, 0, 4, 0, 168, -96, 0, 64, -192, 0, 16, 0, 0, 120, 0, 0, -4, -12, 0, 224, 64, 0, -52, 160, 0, -132, 36, 0, 0, -112, 0, 64, 4, 0, -36, -12, 0, 0, 72, 0, 0, -4, 0, -108, -16, 0, 8, 144, 0, -4, 0, 0, 36, 0, 0, 80, -24, 0, -4, 264, 0, -28, -4, 0, 48, -60, 0, -80, 104, 0, 0, -188, 0, -192, 20, 0, 0, -12, 0, 0, -92, 0, 12, -128, 0, -40, 48, 0, 56, 0, 0, -96, 0, 0, 12, -12, 0, -168, -16, 0, -20, 124, 0, -168, 96, 0, -28, -40, 0, -176, -52, 0, -12, -124, 0, 0, 216, 0, 0, 56, 0, 12, -16, 0, -184, 108, 0, -88, 0, 0, 0, 0, 0, 40, -60, 0, -132, -48, 0, 144, -8, 0, -108, -432, 0, -40, 16, 0, -64, -56, 0, -264, 32, 0, 0, 12, 0, 0, 52, 0, -60, 80, 0, 272, 168, 0, 8, 0, 0, -312, 0, 0, -12, -12, 0, 16, 104, 0, 0, -124, 0, -324, 0, 0, -144, 128, 0, 112, 0, 0, 60, 104, 0, 0, -60, 0, 0, 216, 0, -108, -120, 0, 8, -156, 0, -4, 0, 0, 204, 0, 0, 120, 96, 0, -16, -312, 0, 64, -64, 0, 72, 264, 0, 44, -4, 0, 24, 252, 0, -348, -4, 0, 0, -144, 0, 0, -84, 0, 84, 272, 0, -416, 12, 0, -28, 0, 0, 360, 0, 0, -40, -168, 0, 316, 0, 0, 64, 44, 0, -120, 144, 0, 76, 0, 0, 368, -4, 0, -420, 148, 0, 0, 60, 0, 0, -216, 0, 216, 136, 0, 112, -96, 0, -136, 0, 0, -204, 0, 0, -56, 48, 0, 144, -136, 0, 56, 36, 0, 12, -288, 0, -40, 20, 0, 376, -24, 0, 48, 8, 0, 0, -264, 0, 0, 40, 0, -180, 0, 0, 16, -300, 0, 36, 0, 0, 288, 0, 0, -12, 0, 0, 128, 120, 0, 8, -180, 0, -432, -12, 0, -92, -148, 0, -136, -164, 0, 84, -68, 0, 0, 24, 0, 0, -364, 0, 0, -144, 0, -128, -72, 0, 232, 0, 0, -12, 0, 0, -44, -48, 0, -20, -8, 0, -236, 64, 0, 300, 264, 0, -172, -24, 0, 72, 296, 0, 48, -4, 0, 0, 132, 0, 0, 80, 0, -48, -280, 0, -40, -12, 0, 72, 0, 0, -48, 0, 0, 8, -192, 0, -572, -48, 0, 40, 0, 0, 456, -300, 0, 28, 76, 0, -120, -44, 0, -144, 80, 0, 0, -120, 0, 0, 112, 0, 408, 8, 0, 128, -36, 0, 168, 0, 0, 12, 0, 0, -60, 0, 0, 100, -232, 0, -232, -76, 0, -24, 132, 0, 208, 40, 0, 128, 108, 0, -48, 88, 0, 0, 108, 0, 0, 92, 0, -72, 120, 0, 128, 72, 0, -64, 0, 0, 564, 0, 0, -40, 132, 0, 152, 416, 0, -4, -172, 0, -84, 120, 0, -12, -8, 0, -344, 216, 0, 96, -168, 0, 0, -72, 0, 0, 28, 0, -48, 304, 0, 8, -120, 0, -48, 0, 0, 96, 0, 0, 136, -168, 0, 136, -96, 0, 284, -12, 0, 48, 360, 0, 324, -84, 0, 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: 45485113
{'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 127, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 22520403352094310, 'source_is_minimal': False, 'source_label': '1638.2.bj.f.127.3', 'source_level': 1638, 'target_conrey_index': 127, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 22520403352094310, 'target_is_minimal': False, 'target_label': '1638.2.bj.f.127.3', 'target_level': 1638, 'twist_class_label': '546.2.s.e.43.1', 'twist_class_level': 546, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
id: 45485114
{'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 127, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 22520403352094310, 'source_is_minimal': False, 'source_label': '1638.2.bj.f.127.3', 'source_level': 1638, 'target_conrey_index': 127, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18015635493618210, 'target_is_minimal': True, 'target_label': '546.2.s.e.127.2', 'target_level': 546, 'twist_class_label': '546.2.s.e.43.1', 'twist_class_level': 546, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
id: 45485115
{'conductor': 13, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 127, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 22520403352094310, 'source_is_minimal': False, 'source_label': '1638.2.bj.f.127.3', 'source_level': 1638, 'target_conrey_index': 1135, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 22520403352094310, 'target_is_minimal': False, 'target_label': '1638.2.bj.f.1135.4', 'target_level': 1638, 'twist_class_label': '546.2.s.e.43.1', 'twist_class_level': 546, 'twisting_char_label': '13.4', 'twisting_conrey_index': 4, 'weight': 2}
id: 45485116
{'conductor': 39, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 127, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 22520403352094310, 'source_is_minimal': False, 'source_label': '1638.2.bj.f.127.3', 'source_level': 1638, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 292733975812643770, 'target_is_minimal': False, 'target_label': '7098.2.a.cn.1.3', 'target_level': 7098, 'twist_class_label': '546.2.s.e.43.1', 'twist_class_level': 546, 'twisting_char_label': '39.2', 'twisting_conrey_index': 2, 'weight': 2}
id: 45485117
{'conductor': 39, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 127, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 22520403352094310, 'source_is_minimal': False, 'source_label': '1638.2.bj.f.127.3', 'source_level': 1638, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 297237575440014266, 'target_is_minimal': False, 'target_label': '7098.2.a.co.1.2', 'target_level': 7098, 'twist_class_label': '546.2.s.e.43.1', 'twist_class_level': 546, 'twisting_char_label': '39.11', 'twisting_conrey_index': 11, 'weight': 2}
id: 45485118
{'conductor': 39, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 127, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 22520403352094310, 'source_is_minimal': False, 'source_label': '1638.2.bj.f.127.3', 'source_level': 1638, 'target_conrey_index': 43, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18015635493618210, 'target_is_minimal': True, 'target_label': '546.2.s.e.43.1', 'target_level': 546, 'twist_class_label': '546.2.s.e.43.1', 'twist_class_level': 546, 'twisting_char_label': '39.17', 'twisting_conrey_index': 17, 'weight': 2}

Column	Type
charpoly_factorization	jsonb
hecke_orbit_code	bigint
p	integer

mf_hecke_charpolys • Show schema

id: 2097100
{'charpoly_factorization': [[[1, 0, -1, 0, 1], 2]], 'hecke_orbit_code': 22520403352094310, 'p': 2}
id: 2097101
{'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 22520403352094310, 'p': 3}
id: 2097102
{'charpoly_factorization': [[[64, 0, 608, 0, 276, 0, 32, 0, 1], 1]], 'hecke_orbit_code': 22520403352094310, 'p': 5}
id: 2097103
{'charpoly_factorization': [[[1, 0, -1, 0, 1], 2]], 'hecke_orbit_code': 22520403352094310, 'p': 7}
id: 2097104
{'charpoly_factorization': [[[1024, 2304, 2016, 648, -31, -54, 3, 6, 1], 1]], 'hecke_orbit_code': 22520403352094310, 'p': 11}
id: 2097105
{'charpoly_factorization': [[[28561, -26364, 11154, -3120, 815, -240, 66, -12, 1], 1]], 'hecke_orbit_code': 22520403352094310, 'p': 13}
id: 2097106
{'charpoly_factorization': [[[37249, -4246, 6274, -112, 751, -16, 34, 2, 1], 1]], 'hecke_orbit_code': 22520403352094310, 'p': 17}
id: 2097107
{'charpoly_factorization': [[[234256, -191664, 30492, 17820, -43, -540, 3, 12, 1], 1]], 'hecke_orbit_code': 22520403352094310, 'p': 19}
id: 2097108
{'charpoly_factorization': [[[183184, 99296, 47404, 10328, 2509, 344, 79, 8, 1], 1]], 'hecke_orbit_code': 22520403352094310, 'p': 23}
id: 2097109
{'charpoly_factorization': [[[4096, 1024, 2240, -752, 865, -94, 35, 2, 1], 1]], 'hecke_orbit_code': 22520403352094310, 'p': 29}
id: 2097110
{'charpoly_factorization': [[[47524, 0, 53616, 0, 4253, 0, 114, 0, 1], 1]], 'hecke_orbit_code': 22520403352094310, 'p': 31}
id: 2097111
{'charpoly_factorization': [[[5184, -15552, 15120, 1296, -1188, -108, 114, -18, 1], 1]], 'hecke_orbit_code': 22520403352094310, 'p': 37}
id: 2097112
{'charpoly_factorization': [[[256, 384, -272, -696, 921, -348, 19, 12, 1], 1]], 'hecke_orbit_code': 22520403352094310, 'p': 41}
id: 2097113
{'charpoly_factorization': [[[20164, -10508, 9026, -422, 1075, -52, 89, 8, 1], 1]], 'hecke_orbit_code': 22520403352094310, 'p': 43}
id: 2097114
{'charpoly_factorization': [[[59783824, 0, 2914872, 0, 51041, 0, 378, 0, 1], 1]], 'hecke_orbit_code': 22520403352094310, 'p': 47}
id: 2097115
{'charpoly_factorization': [[[2461, 426, -106, -6, 1], 2]], 'hecke_orbit_code': 22520403352094310, 'p': 53}
id: 2097116
{'charpoly_factorization': [[[4477456, -2336064, 234876, 89424, -2179, -1458, 27, 18, 1], 1]], 'hecke_orbit_code': 22520403352094310, 'p': 59}
id: 2097117
{'charpoly_factorization': [[[2283121, 1680232, 1058246, 155392, 24331, 1280, 182, 8, 1], 1]], 'hecke_orbit_code': 22520403352094310, 'p': 61}
id: 2097118
{'charpoly_factorization': [[[11916304, -8201952, 2258060, -258984, 1077, 1962, -1, -18, 1], 1]], 'hecke_orbit_code': 22520403352094310, 'p': 67}
id: 2097119
{'charpoly_factorization': [[[324, -1620, 3402, -3510, 1719, -234, -27, 6, 1], 1]], 'hecke_orbit_code': 22520403352094310, 'p': 71}
id: 2097120
{'charpoly_factorization': [[[65536, 0, 368640, 0, 22592, 0, 288, 0, 1], 1]], 'hecke_orbit_code': 22520403352094310, 'p': 73}
id: 2097121
{'charpoly_factorization': [[[-104, -148, -39, 2, 1], 2]], 'hecke_orbit_code': 22520403352094310, 'p': 79}
id: 2097122
{'charpoly_factorization': [[[22146436, 0, 1924816, 0, 46077, 0, 382, 0, 1], 1]], 'hecke_orbit_code': 22520403352094310, 'p': 83}
id: 2097123
{'charpoly_factorization': [[[20584369, 7268274, 84178, -272340, 14751, 3060, -62, -18, 1], 1]], 'hecke_orbit_code': 22520403352094310, 'p': 89}
id: 2097124
{'charpoly_factorization': [[[1290496, -1063296, -19232, 256464, 93060, 14796, 1246, 54, 1], 1]], 'hecke_orbit_code': 22520403352094310, 'p': 97}

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': 36, 'hecke_orbit': 6, 'label': '1638.2.bj.f', 'level': 1638, '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: 44972215
{'hecke_orbit_code': 22520403352094310, 'n': 1, 'trace_an': 8}
id: 44972216
{'hecke_orbit_code': 22520403352094310, 'n': 2, 'trace_an': 0}
id: 44972217
{'hecke_orbit_code': 22520403352094310, 'n': 3, 'trace_an': 0}
id: 44972218
{'hecke_orbit_code': 22520403352094310, 'n': 4, 'trace_an': 4}
id: 44972219
{'hecke_orbit_code': 22520403352094310, 'n': 5, 'trace_an': 0}
id: 44972220
{'hecke_orbit_code': 22520403352094310, 'n': 6, 'trace_an': 0}
id: 44972221
{'hecke_orbit_code': 22520403352094310, 'n': 7, 'trace_an': 0}
id: 44972222
{'hecke_orbit_code': 22520403352094310, 'n': 8, 'trace_an': 0}
id: 44972223
{'hecke_orbit_code': 22520403352094310, 'n': 9, 'trace_an': 0}
id: 44972224
{'hecke_orbit_code': 22520403352094310, 'n': 10, 'trace_an': 6}
id: 44972225
{'hecke_orbit_code': 22520403352094310, 'n': 11, 'trace_an': -6}
id: 44972226
{'hecke_orbit_code': 22520403352094310, 'n': 12, 'trace_an': 0}
id: 44972227
{'hecke_orbit_code': 22520403352094310, 'n': 13, 'trace_an': 12}
id: 44972228
{'hecke_orbit_code': 22520403352094310, 'n': 14, 'trace_an': -8}
id: 44972229
{'hecke_orbit_code': 22520403352094310, 'n': 15, 'trace_an': 0}
id: 44972230
{'hecke_orbit_code': 22520403352094310, 'n': 16, 'trace_an': -4}
id: 44972231
{'hecke_orbit_code': 22520403352094310, 'n': 17, 'trace_an': -2}
id: 44972232
{'hecke_orbit_code': 22520403352094310, 'n': 18, 'trace_an': 0}
id: 44972233
{'hecke_orbit_code': 22520403352094310, 'n': 19, 'trace_an': -12}
id: 44972234
{'hecke_orbit_code': 22520403352094310, 'n': 20, 'trace_an': 6}
id: 44972235
{'hecke_orbit_code': 22520403352094310, 'n': 21, 'trace_an': 0}
id: 44972236
{'hecke_orbit_code': 22520403352094310, 'n': 22, 'trace_an': -4}
id: 44972237
{'hecke_orbit_code': 22520403352094310, 'n': 23, 'trace_an': -8}
id: 44972238
{'hecke_orbit_code': 22520403352094310, 'n': 24, 'trace_an': 0}
id: 44972239
{'hecke_orbit_code': 22520403352094310, 'n': 25, 'trace_an': -24}
id: 44972240
{'hecke_orbit_code': 22520403352094310, 'n': 26, 'trace_an': -6}
id: 44972241
{'hecke_orbit_code': 22520403352094310, 'n': 27, 'trace_an': 0}
id: 44972242
{'hecke_orbit_code': 22520403352094310, 'n': 28, 'trace_an': 0}
id: 44972243
{'hecke_orbit_code': 22520403352094310, 'n': 29, 'trace_an': -2}
id: 44972244
{'hecke_orbit_code': 22520403352094310, 'n': 30, 'trace_an': 0}
id: 44972245
{'hecke_orbit_code': 22520403352094310, 'n': 31, 'trace_an': 0}
id: 44972246
{'hecke_orbit_code': 22520403352094310, 'n': 32, 'trace_an': 0}
id: 44972247
{'hecke_orbit_code': 22520403352094310, 'n': 33, 'trace_an': 0}
id: 44972248
{'hecke_orbit_code': 22520403352094310, 'n': 34, 'trace_an': 0}
id: 44972249
{'hecke_orbit_code': 22520403352094310, 'n': 35, 'trace_an': 6}
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id: 44972462
{'hecke_orbit_code': 22520403352094310, 'n': 937, 'trace_an': -72}
id: 44972463
{'hecke_orbit_code': 22520403352094310, 'n': 941, 'trace_an': 0}
id: 44972464
{'hecke_orbit_code': 22520403352094310, 'n': 947, 'trace_an': -30}
id: 44972465
{'hecke_orbit_code': 22520403352094310, 'n': 953, 'trace_an': -30}
id: 44972466
{'hecke_orbit_code': 22520403352094310, 'n': 961, 'trace_an': 20}
id: 44972467
{'hecke_orbit_code': 22520403352094310, 'n': 967, 'trace_an': 0}
id: 44972468
{'hecke_orbit_code': 22520403352094310, 'n': 971, 'trace_an': 70}
id: 44972469
{'hecke_orbit_code': 22520403352094310, 'n': 977, 'trace_an': -108}
id: 44972470
{'hecke_orbit_code': 22520403352094310, 'n': 983, 'trace_an': 0}
id: 44972471
{'hecke_orbit_code': 22520403352094310, 'n': 991, 'trace_an': -110}
id: 44972472
{'hecke_orbit_code': 22520403352094310, 'n': 997, 'trace_an': 20}

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.