LMFDB - Embedded newform data

Formats: - HTML - YAML - JSON - 2026-07-27T02:35:49.885675

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': 11760, 'analytic_conductor': 23.476018194256433, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 11, 'char_orbit_label': 'k', 'char_order': 2, 'char_parity': 1, 'char_values': [2940, 2, [1471, 1961, 1177, 1081], [2, 2, 1, 2]], 'cm_discs': [], 'conrey_index': 589, 'dim': 2, 'field_disc': -4, 'field_disc_factorization': [[-1, 1], [2, 2]], 'field_poly': [1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 4, 'has_non_self_twist': 1, 'hecke_cutters': [[11, [4, 1]], [13, [36, 0, 1]], [19, [-6, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13511486110436220, 'hecke_ring_generator_nbound': 3, '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, 5, 2, 1, 2, 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': '2940.2.k.d', 'level': 2940, '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, 5, 7], 'level_radical': 210, 'minimal_twist': '420.2.k.a', 'nf_label': '2.0.4.1', 'prim_orbit_index': 2, 'qexp_display': 'q+i q^{3}+(-i+2)q^{5}-q^{9}-4 q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2940.2.k', 'trace_display': [0, 0, 4, 0], 'trace_hash': 343494062773933823, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.036', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.879', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.100', 'prec': 17}, {'__RealLiteral__': 0, 'data': '14.860', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '149.207', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.522', 'prec': 17}, 'traces': [2, 0, 0, 0, 4, 0, 0, 0, -2, 0, -8, 0, 0, 0, 2, 0, 0, 0, 12, 0, 0, 0, 0, 0, 6, 0, 0, 0, -12, 0, 4, 0, 0, 0, 0, 0, 0, 0, -12, 0, -16, 0, 0, 0, -4, 0, 0, 0, 0, 0, -4, 0, 0, 0, -16, 0, 0, 0, 8, 0, -28, 0, 0, 0, 12, 0, 0, 0, -4, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 2, 0, 0, 0, 4, 0, 0, 0, 16, 0, 0, 0, 0, 0, 24, 0, 0, 0, 8, 0, -32, 0, 0, 0, 0, 0, 0, 0, 28, 0, -8, 0, 0, 0, 4, 0, 0, 0, 0, 0, 10, 0, 0, 0, 4, 0, 0, 0, 8, 0, 24, 0, 0, 0, -2, 0, 0, 0, 20, 0, -8, 0, 0, 0, -24, 0, 0, 0, -44, 0, 32, 0, 0, 0, 8, 0, 0, 0, -12, 0, 0, 0, 0, 0, -8, 0, 0, 0, -46, 0, -12, 0, 0, 0, 0, 0, 0, 0, -8, 0, 20, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 36, 0, 8, 0, 0, 0, -32, 0, 0, 0, -48, 0, -48, 0, 0, 0, -8, 0, 0, 0, -20, 0, -24, 0, 0, 0, -6, 0, 0, 0, 4, 0, 0, 0, 0, 0, 8, 0, 0, 0, 32, 0, -20, 0, 0, 0, 0, 0, 0, 0, -32, 0, 24, 0, 0, 0, -8, 0, 0, 0, 0, 0, 12, 0, 0, 0, 12, 0, 0, 0, -24, 0, 28, 0, 0, 0, -24, 0, 0, 0, -4, 0, -12, 0, 0, 0, 12, 0, 0, 0, 26, 0, -20, 0, 0, 0, 16, 0, 0, 0, -24, 0, 0, 0, 0, 0, -56, 0, 0, 0, 32, 0, -24, 0, 0, 0, 0, 0, 0, 0, 48, 0, -12, 0, 0, 0, 48, 0, 0, 0, 0, 0, -16, 0, 0, 0, -8, 0, 0, 0, -36, 0, -16, 0, 0, 0, -8, 0, 0, 0, 44, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 34, 0, 0, 0, 20, 0, 0, 0, 16, 0, 0, 0, 0, 0, 22, 0, 0, 0, 56, 0, -32, 0, 0, 0, 0, 0, 0, 0, -4, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, 0, 4, 0, 0, 0, -20, 0, 36, 0, 0, 0, 32, 0, 0, 0, -80, 0, -4, 0, 0, 0, 16, 0, 0, 0, 48, 0, -32, 0, 0, 0, -12, 0, 0, 0, -60, 0, 0, 0, 0, 0, 32, 0, 0, 0, -36, 0, 64, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, -20, 0, 0, 0, 36, 0, 0, 0, -8, 0, -48, 0, 0, 0, 20, 0, 0, 0, 16, 0, 24, 0, 0, 0, 16, 0, 0, 0, 72, 0, -48, 0, 0, 0, -64, 0, 0, 0, 24, 0, 0, 0, 0, 0, -32, 0, 0, 0, -4, 0, 88, 0, 0, 0, 0, 0, 0, 0, 38, 0, -8, 0, 0, 0, 12, 0, 0, 0, 0, 0, 20, 0, 0, 0, 56, 0, 0, 0, 28, 0, -72, 0, 0, 0, -16, 0, 0, 0, 48, 0, 16, 0, 0, 0, 36, 0, 0, 0, 20, 0, -16, 0, 0, 0, 16, 0, 0, 0, -16, 0, 0, 0, 0, 0, -12, 0, 0, 0, 24, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 68, 0, 0, 0, 20, 0, 0, 0, 0, 0, -48, 0, 0, 0, -16, 0, 0, 0, 52, 0, 4, 0, 0, 0, -14, 0, 0, 0, -16, 0, 16, 0, 0, 0, 32, 0, 0, 0, 0, 0, 4, 0, 0, 0, 16, 0, 0, 0, -32, 0, 0, 0, 0, 0, 48, 0, 0, 0, -8, 0, -28, 0, 0, 0, 0, 0, 0, 0, -32, 0, 112, 0, 0, 0, -8, 0, 0, 0, 0, 0, -40, 0, 0, 0, -36, 0, 0, 0, -72, 0, 4, 0, 0, 0, 40, 0, 0, 0, 52, 0, 76, 0, 0, 0, -16, 0, 0, 0, 12, 0, 0, 0, 0, 0, -48, 0, 0, 0, 88, 0, 0, 0, 0, 0, -36, 0, 0, 0, -2, 0, 16, 0, 0, 0, 0, 0, 0, 0, -32, 0, -72, 0, 0, 0, -88, 0, 0, 0, 0, 0, 40, 0, 0, 0, 64, 0, 0, 0, 16, 0, 48, 0, 0, 0, -4, 0, 0, 0, 60, 0, -12, 0, 0, 0, 12, 0, 0, 0, -96, 0, 0, 0, 0, 0, 20, 0, 0, 0, 20, 0, 0, 0, 0, 0, -24, 0, 0, 0, -16, 0, -16, 0, 0, 0, 0, 0, 0, 0, 36, 0, -68, 0, 0, 0, -16, 0, 0, 0, 0, 0, 20, 0, 0, 0, -32, 0, 0, 0, 12, 0, -56, 0, 0, 0, 48, 0, 0, 0, -64, 0, 14, 0, 0, 0, -92, 0, 0, 0, 56, 0, -16, 0, 0, 0, -24, 0, 0, 0, -92, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, -12, 0, -72, 0, 0, 0, 8, 0, 0, 0, 0, 0, -8, 0, 0, 0, -16, 0, 0, 0, -24, 0, -24, 0, 0, 0, 40, 0, 0, 0, 32, 0, -48, 0, 0, 0, -28, 0, 0, 0, -72, 0, 24, 0, 0, 0, 32, 0, 0, 0, 48, 0, 0, 0, 0, 0, -16, 0, 0, 0, 28, 0, -88, 0, 0, 0, 0, 0, 0, 0, -120, 0, 28, 0, 0, 0, 0, 0, 0, 0, 0, 0, -54, 0, 0, 0, 16, 0, 0, 0, -24, 0, 48, 0, 0, 0, -36, 0, 0, 0, -64, 0, -28, 0, 0, 0, -20, 0, 0, 0, 16, 0, 104, 0, 0, 0, 72, 0, 0, 0, 8, 0, 0, 0, 0, 0, 16, 0, 0, 0, 68, 0, 16, 0, 0, 0, 0, 0, 0, 0, 72, 0, 60, 0, 0, 0, -48, 0, 0, 0, 0, 0, 64, 0, 0, 0, -4, 0, 0, 0, 44, 0, 36, 0, 0, 0, -96, 0, 0, 0, 72, 0, 40, 0, 0, 0, -96, 0, 0, 0, -4, 0, 36, 0, 0, 0, 0, 0, 0, 0, -44, 0, 0, 0, 0, 0, -32, 0, 0, 0, -192, 0, -16, 0, 0, 0, 0, 0, 0, 0, -10, 0, -32, 0, 0, 0, -40, 0, 0, 0, 0, 0, 32, 0, 0, 0, -48, 0, 0, 0, 48, 0, 128, 0, 0, 0, 32, 0, 0, 0, 48, 0, 48, 0, 0, 0, -4, 0, 0, 0, -100, 0, 72, 0, 0, 0, 40, 0, 0, 0, 16, 0, 0, 0, 0, 0, 8, 0, 0, 0, 56, 0, 40, 0, 0, 0, 0, 0, 0, 0, -168, 0, -8, 0, 0, 0, -52, 0, 0, 0, 0, 0, 8, 0, 0, 0, 32, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 20, 0, 0, 0, 64, 0, 0, 0, -112, 0, 60, 0, 0, 0, -40, 0, 0, 0, -24, 0, 0, 0, 0, 0, 2, 0, 0, 0, -24, 0, 32, 0, 0, 0, 0, 0, 0, 0, 60, 0, -84, 0, 0, 0, 72, 0, 0, 0, 0, 0, -40, 0, 0, 0, -64, 0, 0, 0, 20, 0, -20, 0, 0, 0, 48, 0, 0, 0, -128, 0, -120, 0, 0, 0, -16, 0, 0, 0, 8, 0, -32, 0, 0, 0, -12, 0, 0, 0, 108, 0, 0, 0, 0, 0, 12, 0, 0, 0, -140, 0, -20, 0, 0, 0, 0, 0, 0, 0, -20, 0, 72, 0, 0, 0, 24, 0, 0, 0, 0, 0, -24, 0, 0, 0, -20, 0, 0, 0, 32, 0, 52, 0, 0, 0, 48, 0, 0, 0, 60, 0, 48, 0, 0, 0, 16, 0, 0, 0, 192, 0, 44, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, -32, 0, 136, 0, 0, 0, 0, 0, 0, 0, 42, 0, 40, 0, 0, 0, -16, 0, 0, 0, 0, 0, -108, 0, 0, 0, 56, 0, 0, 0, 48, 0, -72, 0, 0, 0, -8, 0, 0, 0, 44, 0, -24, 0, 0, 0, -24, 0, 0, 0, 36, 0, -64, 0, 0, 0, -56, 0, 0, 0, -32, 0, 0, 0, 0, 0, 48, 0, 0, 0, -60, 0, 12, 0, 0, 0, 0, 0, 0, 0, 64, 0, -96, 0, 0, 0, 52, 0, 0, 0, 0, 0, 88, 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], [0.0, 0.5773502691896257], [0.0, 0.0], [0.8944271909999159, -0.4472135954999579], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.3333333333333333, 0.0], [0.0, 0.0], [-1.2060453783110545, 0.0], [0.0, 0.0], [0.0, 1.6641005886756874], [0.0, 0.0], [0.25819888974716115, 0.5163977794943223], [0.0, 0.0], [0.0, 0.48507125007266594], [0.0, 0.0], [1.3764944032233706, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.41702882811414954], [0.0, 0.0], [0.6, -0.8], [0.0, 0.0], [0.0, -0.19245008972987526], [0.0, 0.0], [-1.1141720290623112, 0.0], [0.0, 0.0], [0.3592106040535498, 0.0], [0.0, 0.0], [0.0, -0.6963106238227914], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.6575959492214292], [0.0, 0.0], [-0.9607689228305228, 0.0], [0.0, 0.0], [-1.2493900951088486, 0.0], [0.0, 0.0], [0.0, -0.6099942813304187], [0.0, 0.0], [-0.29814239699997197, 0.14907119849998599], [0.0, 0.0], [0.0, 0.5834599659915782], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.28005601680560194, 0.0], [0.0, 0.0], [0.0, 0.8241633836921342], [0.0, 0.0], [-1.0787197799411874, 0.5393598899705937], [0.0, 0.0], [0.0, 0.7947194142390263], [0.0, 0.0], [0.5207556439232954, 0.0], [0.0, 0.0], [-1.7925163190605435, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.7442084075352507, 1.4884168150705015], [0.0, 0.0], [0.0, -0.4886777774252209], [0.0, 0.0], [-0.2407717061715384, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.1704114719613057], [0.0, 0.0], [0.4618802153517006, 0.34641016151377546], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.1111111111111111, 0.0], [0.0, 0.0], [0.0, 1.7562281598350455], [0.0, 0.0], [0.21693045781865616, 0.4338609156373123], [0.0, 0.0], [0.0, -0.6432675209026769], [0.0, 0.0], [0.847998304005088, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.20739033894608505], [0.0, 0.0], [1.231174022502185, -0.6155870112510925], [0.0, 0.0], [0.0, 1.015346165133619], [0.0, 0.0], [0.40201512610368484, 0.0], [0.0, 0.0]], 'angles': [None, None, None, None, -0.3530185831501773, 0.1564164790945006, 0.03898956518868466, -0.1291902240414111, 0.033431409198009035, -0.3440403189239459, -0.22125897051224172, 0.053321760224795095, -0.35738835626136134, -0.4506722447714794, 0.04711543333786001, 0.06759908521341193, -0.2080764390627594, -0.4268624903008753, -0.46071453476893875, -0.25, 0.09949312679012105, -0.25, 0.17059915598648376, -0.18031297380940595, 0.08474710796167445, -0.39653507443783, -0.3554902208244961, 0.04683113909899191, -0.13304444816751249, 0.16069172740628504, 0.1256266007391423, -0.16217802047185048, -0.36039673844280296, -0.18029622377113905, -0.4286397763341961, -0.1371684376585112, 0.06532886956480011, -0.4492820305441412, 0.18948819537758407, 0.012112014027711396, -0.2738811103123127, -0.18939657649346997, -0.25, 0.04648290917064565, -0.4420300861161337, -0.13988241351964115, -0.40472667745474505, 0.08997979922203209, 0.11551237703246713, -0.2394750757648981, -0.3377986173506914, -0.16343565530916263, -0.30219071977136747, -0.18818274684811498, 0.029960068939582158, -0.45011776127667635, -0.3096068141595376, -0.18009841221610537, 0.15906881591081223, -0.2786374432048331, -0.343536649738142, 0.02803860488196294, -0.4443736518911814, -0.30525225992935856, -0.43525734827160556, -0.43569106797857915, -0.2852800095617974, -0.46504066462042987, -0.41974713956025367, -0.14979703227513408, 0.008474967503195463, -0.25, -0.4314362678487244, -0.3932950145019803, -0.12226989420892052, -0.3731298611672027, -0.2580729373036246, -0.4596296954785132, -0.15744458728659527, -0.28976083313729367, -0.4658470550809943, -0.2577598113535763, -0.31295902612604615, 0.038620394898520274, -0.37699417724669104, -0.37374251583730583, -0.31981658527049095, -0.42252692986155144, -0.25, -0.4058444189473833, 0.04477726030146948, -0.2645642684730915, 0.04382367470212868, -0.20635983042562903, -0.10087032383346971, -0.3517299522769197, -0.20715796754876611, -0.04293207549885356, 0.07202719972530204, -0.21551783620363943], 'char_orbit_index': 11, 'conrey_index': 589, 'dual_conrey_index': 589, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 1.0, 'embedding_root_real': 0.0, 'hecke_orbit': 4, 'hecke_orbit_code': 13511486110436220, 'label': '2940.2.k.d.589.2', 'level': 2940, 'weight': 2}

Column	Type
ALdims	integer[]
ALdims_eis_new	integer[]
ALdims_eis_old	integer[]
ALdims_old	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': 11760, 'analytic_conductor': 23.476018194256433, 'char_conductor': 5, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 11, 'char_orbit_label': 'k', 'char_order': 2, 'char_parity': 1, 'char_values': [2940, 2, [1471, 1961, 1177, 1081], [2, 2, 1, 2]], 'conrey_index': 589, 'cusp_dim': 624, 'dim': 42, 'eis_dim': 96, 'eis_new_dim': 0, 'hecke_cutter_primes': [11, 13, 19], 'hecke_orbit_code': 687228324732, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 8, 8, 16], 'label': '2940.2.k', 'level': 2940, '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, 5, 7], 'level_radical': 210, 'mf_dim': 720, 'mf_new_dim': 42, 'num_forms': 8, 'prim_orbit_index': 2, 'relative_dim': 42, 'sturm_bound': 1344, 'trace_bound': 11, 'trace_display': [0, 0, -2, 0], 'traces': [42, 0, 0, 0, -2, 0, 0, 0, -42, 0, 8, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 2, 0, 0, 0, 4, 0, -16, 0, 0, 0, 0, 0, 0, 0, 8, 0, 4, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 24, 0, -28, 0, 0, 0, 28, 0, 0, 0, 16, 0, 40, 0, 0, 0, 8, 0, 0, 0, -8, 0, 42, 0, 0, 0, 8, 0, 0, 0, 28, 0, 0, 0, 0, 0, -28, 0, 0, 0, -8, 0, -44, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 34, 0, 0, 0, 22, 0, 0, 0, 24, 0, -8, 0, 0, 0, 0, 0, 0, 0, 24, 0, 32, 0, 0, 0, -12, 0, 0, 0, -20, 0, 40, 0, 0, 0, -52, 0, 0, 0, -32, 0, 0, 0, 0, 0, -8, 0, 0, 0, -62, 0, -8, 0, 0, 0, 0, 0, 0, 0, 8, 0, -4, 0, 0, 0, 48, 0, 0, 0, 0, 0, -80, 0, 0, 0, -32, 0, 0, 0, 32, 0, -8, 0, 0, 0, 12, 0, 0, 0, -64, 0, 80, 0, 0, 0, 0, 0, 0, 0, -48, 0, 104, 0, 0, 0, -2, 0, 0, 0, 60, 0, 0, 0, 0, 0, -88, 0, 0, 0, 168, 0, -68, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, -8, 0, 0, 0, 0, 0, -4, 0, 0, 0, -40, 0, 0, 0, -20, 0, 64, 0, 0, 0, -160, 0, 0, 0, 16, 0, 4, 0, 0, 0, 8, 0, 0, 0, 74, 0, -24, 0, 0, 0, 72, 0, 0, 0, -48, 0, 0, 0, 0, 0, 12, 0, 0, 0, -24, 0, -32, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 96, 0, 0, 0, 32, 0, 0, 0, 0, 0, -32, 0, 0, 0, 56, 0, 0, 0, 28, 0, -8, 0, 0, 0, 32, 0, 0, 0, 104, 0, 82, 0, 0, 0, -148, 0, 0, 0, -4, 0, 0, 0, 0, 0, 48, 0, 0, 0, -80, 0, -40, 0, 0, 0, 0, 0, 0, 0, 60, 0, -16, 0, 0, 0, 40, 0, 0, 0, 0, 0, -44, 0, 0, 0, -2, 0, 0, 0, -20, 0, 32, 0, 0, 0, 56, 0, 0, 0, -184, 0, 84, 0, 0, 0, -32, 0, 0, 0, -104, 0, 24, 0, 0, 0, 48, 0, 0, 0, -96, 0, 0, 0, 0, 0, -20, 0, 0, 0, -20, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 8, 0, 0, 0, 0, 0, 16, 0, 0, 0, 24, 0, 0, 0, -48, 0, -32, 0, 0, 0, -120, 0, 0, 0, 104, 0, -96, 0, 0, 0, 24, 0, 0, 0, 112, 0, 8, 0, 0, 0, -116, 0, 0, 0, 52, 0, 0, 0, 0, 0, -28, 0, 0, 0, -192, 0, 140, 0, 0, 0, 0, 0, 0, 0, -138, 0, -24, 0, 0, 0, -72, 0, 0, 0, 0, 0, 108, 0, 0, 0, 124, 0, 0, 0, 28, 0, -48, 0, 0, 0, 52, 0, 0, 0, 32, 0, 56, 0, 0, 0, 72, 0, 0, 0, 156, 0, -272, 0, 0, 0, -104, 0, 0, 0, -32, 0, 0, 0, 0, 0, -28, 0, 0, 0, -48, 0, 64, 0, 0, 0, 0, 0, 0, 0, 24, 0, -68, 0, 0, 0, -10, 0, 0, 0, 0, 0, -168, 0, 0, 0, -56, 0, 0, 0, -40, 0, -16, 0, 0, 0, 202, 0, 0, 0, -96, 0, -232, 0, 0, 0, 16, 0, 0, 0, -40, 0, -84, 0, 0, 0, 84, 0, 0, 0, -32, 0, 0, 0, 0, 0, 64, 0, 0, 0, 184, 0, 20, 0, 0, 0, 0, 0, 0, 0, -24, 0, 144, 0, 0, 0, -8, 0, 0, 0, 0, 0, -72, 0, 0, 0, -104, 0, 0, 0, -80, 0, 24, 0, 0, 0, -188, 0, 0, 0, 128, 0, -172, 0, 0, 0, 8, 0, 0, 0, -100, 0, 8, 0, 0, 0, 168, 0, 0, 0, 160, 0, 0, 0, 0, 0, 76, 0, 0, 0, -42, 0, 0, 0, 0, 0, 0, 0, 0, 0, 272, 0, -80, 0, 0, 0, -68, 0, 0, 0, 0, 0, -8, 0, 0, 0, 168, 0, 0, 0, 32, 0, -36, 0, 0, 0, -8, 0, 0, 0, 84, 0, -24, 0, 0, 0, 0, 0, 0, 0, 360, 0, -48, 0, 0, 0, -32, 0, 0, 0, -32, 0, 0, 0, 0, 0, 8, 0, 0, 0, 48, 0, -28, 0, 0, 0, 0, 0, 0, 0, -148, 0, -104, 0, 0, 0, 16, 0, 0, 0, 0, 0, 52, 0, 0, 0, -96, 0, 0, 0, 52, 0, 16, 0, 0, 0, 40, 0, 0, 0, -208, 0, 38, 0, 0, 0, -154, 0, 0, 0, -152, 0, -144, 0, 0, 0, 28, 0, 0, 0, -184, 0, 0, 0, 0, 0, 200, 0, 0, 0, 216, 0, 96, 0, 0, 0, 0, 0, 0, 0, 64, 0, -60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, -88, 0, 0, 0, 0, 0, 80, 0, 0, 0, -112, 0, 0, 0, 44, 0, -128, 0, 0, 0, -16, 0, 0, 0, -344, 0, 144, 0, 0, 0, -8, 0, 0, 0, 180, 0, 0, 0, 0, 0, -240, 0, 0, 0, -160, 0, 52, 0, 0, 0, 0, 0, 0, 0, -144, 0, -32, 0, 0, 0, -80, 0, 0, 0, 0, 0, 282, 0, 0, 0, 128, 0, 0, 0, -16, 0, 120, 0, 0, 0, 88, 0, 0, 0, 144, 0, -4, 0, 0, 0, -40, 0, 0, 0, 400, 0, -88, 0, 0, 0, -224, 0, 0, 0, 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: 43438722
{'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 589, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511486110436220, 'source_is_minimal': False, 'source_label': '2940.2.k.d.589.2', 'source_level': 2940, 'target_conrey_index': 589, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 13511486110436220, 'target_is_minimal': False, 'target_label': '2940.2.k.d.589.2', 'target_level': 2940, 'twist_class_label': '420.2.k.a.169.1', 'twist_class_level': 420, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
id: 43438723
{'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 589, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511486110436220, 'source_is_minimal': False, 'source_label': '2940.2.k.d.589.2', 'source_level': 2940, 'target_conrey_index': 589, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13511486110436220, 'target_is_minimal': False, 'target_label': '2940.2.k.d.589.1', 'target_level': 2940, 'twist_class_label': '420.2.k.a.169.1', 'twist_class_level': 420, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
id: 43438724
{'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 589, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511486110436220, 'source_is_minimal': False, 'source_label': '2940.2.k.d.589.2', 'source_level': 2940, 'target_conrey_index': 949, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9009054714170236, 'target_is_minimal': False, 'target_label': '2940.2.bb.c.949.1', 'target_level': 2940, 'twist_class_label': '420.2.k.a.169.1', 'twist_class_level': 420, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 2}
id: 43438725
{'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 589, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511486110436220, 'source_is_minimal': False, 'source_label': '2940.2.k.d.589.2', 'source_level': 2940, 'target_conrey_index': 1549, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31527052851022716, 'target_is_minimal': False, 'target_label': '2940.2.bb.h.1549.1', 'target_level': 2940, 'twist_class_label': '420.2.k.a.169.1', 'twist_class_level': 420, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 2}
id: 43438726
{'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 589, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511486110436220, 'source_is_minimal': False, 'source_label': '2940.2.k.d.589.2', 'source_level': 2940, 'target_conrey_index': 1549, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9009054714170236, 'target_is_minimal': False, 'target_label': '2940.2.bb.c.1549.2', 'target_level': 2940, 'twist_class_label': '420.2.k.a.169.1', 'twist_class_level': 420, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 2}
id: 43438727
{'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 589, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511486110436220, 'source_is_minimal': False, 'source_label': '2940.2.k.d.589.2', 'source_level': 2940, 'target_conrey_index': 949, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 31527052851022716, 'target_is_minimal': False, 'target_label': '2940.2.bb.h.949.2', 'target_level': 2940, 'twist_class_label': '420.2.k.a.169.1', 'twist_class_level': 420, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 2}
id: 43438728
{'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 589, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511486110436220, 'source_is_minimal': False, 'source_label': '2940.2.k.d.589.2', 'source_level': 2940, 'target_conrey_index': 169, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 687228322212, 'target_is_minimal': True, 'target_label': '420.2.k.a.169.1', 'target_level': 420, 'twist_class_label': '420.2.k.a.169.1', 'twist_class_level': 420, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 2}
id: 43438729
{'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 589, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511486110436220, 'source_is_minimal': False, 'source_label': '2940.2.k.d.589.2', 'source_level': 2940, 'target_conrey_index': 1009, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13511486110434540, 'target_is_minimal': False, 'target_label': '1260.2.k.d.1009.1', 'target_level': 1260, 'twist_class_label': '420.2.k.a.169.1', 'twist_class_level': 420, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 2}
id: 43438730
{'conductor': 28, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 589, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511486110436220, 'source_is_minimal': False, 'source_label': '2940.2.k.d.589.2', 'source_level': 2940, 'target_conrey_index': 1009, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 1305703614096, 'target_is_minimal': False, 'target_label': '1680.2.t.a.1009.2', 'target_level': 1680, 'twist_class_label': '420.2.k.a.169.1', 'twist_class_level': 420, 'twisting_char_label': '28.27', 'twisting_conrey_index': 27, 'weight': 2}
id: 43438731
{'conductor': 35, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 589, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511486110436220, 'source_is_minimal': False, 'source_label': '2940.2.k.d.589.2', 'source_level': 2940, 'target_conrey_index': 1549, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9009054714170236, 'target_is_minimal': False, 'target_label': '2940.2.bb.c.1549.1', 'target_level': 2940, 'twist_class_label': '420.2.k.a.169.1', 'twist_class_level': 420, 'twisting_char_label': '35.4', 'twisting_conrey_index': 4, 'weight': 2}
id: 43438732
{'conductor': 35, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 589, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511486110436220, 'source_is_minimal': False, 'source_label': '2940.2.k.d.589.2', 'source_level': 2940, 'target_conrey_index': 949, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9009054714170236, 'target_is_minimal': False, 'target_label': '2940.2.bb.c.949.2', 'target_level': 2940, 'twist_class_label': '420.2.k.a.169.1', 'twist_class_level': 420, 'twisting_char_label': '35.9', 'twisting_conrey_index': 9, 'weight': 2}
id: 43438733
{'conductor': 35, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 589, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511486110436220, 'source_is_minimal': False, 'source_label': '2940.2.k.d.589.2', 'source_level': 2940, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532396679890996, 'target_is_minimal': False, 'target_label': '2100.2.a.j.1.1', 'target_level': 2100, 'twist_class_label': '420.2.k.a.169.1', 'twist_class_level': 420, 'twisting_char_label': '35.13', 'twisting_conrey_index': 13, 'weight': 2}
id: 43438734
{'conductor': 35, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 589, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511486110436220, 'source_is_minimal': False, 'source_label': '2940.2.k.d.589.2', 'source_level': 2940, 'target_conrey_index': 949, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31527052851022716, 'target_is_minimal': False, 'target_label': '2940.2.bb.h.949.1', 'target_level': 2940, 'twist_class_label': '420.2.k.a.169.1', 'twist_class_level': 420, 'twisting_char_label': '35.19', 'twisting_conrey_index': 19, 'weight': 2}
id: 43438735
{'conductor': 35, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 589, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511486110436220, 'source_is_minimal': False, 'source_label': '2940.2.k.d.589.2', 'source_level': 2940, 'target_conrey_index': 1549, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 31527052851022716, 'target_is_minimal': False, 'target_label': '2940.2.bb.h.1549.2', 'target_level': 2940, 'twist_class_label': '420.2.k.a.169.1', 'twist_class_level': 420, 'twisting_char_label': '35.24', 'twisting_conrey_index': 24, 'weight': 2}
id: 43438736
{'conductor': 35, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 589, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511486110436220, 'source_is_minimal': False, 'source_label': '2940.2.k.d.589.2', 'source_level': 2940, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014398543038516, 'target_is_minimal': False, 'target_label': '2100.2.a.e.1.1', 'target_level': 2100, 'twist_class_label': '420.2.k.a.169.1', 'twist_class_level': 420, 'twisting_char_label': '35.27', 'twisting_conrey_index': 27, 'weight': 2}
id: 43438737
{'conductor': 35, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 589, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511486110436220, 'source_is_minimal': False, 'source_label': '2940.2.k.d.589.2', 'source_level': 2940, 'target_conrey_index': 169, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 687228322212, 'target_is_minimal': True, 'target_label': '420.2.k.a.169.2', 'target_level': 420, 'twist_class_label': '420.2.k.a.169.1', 'twist_class_level': 420, 'twisting_char_label': '35.34', 'twisting_conrey_index': 34, 'weight': 2}
id: 43438738
{'conductor': 84, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 589, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511486110436220, 'source_is_minimal': False, 'source_label': '2940.2.k.d.589.2', 'source_level': 2940, 'target_conrey_index': 1009, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 63051700486804400, 'target_is_minimal': False, 'target_label': '5040.2.t.o.1009.1', 'target_level': 5040, 'twist_class_label': '420.2.k.a.169.1', 'twist_class_level': 420, 'twisting_char_label': '84.83', 'twisting_conrey_index': 83, 'weight': 2}
id: 43438739
{'conductor': 105, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 589, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511486110436220, 'source_is_minimal': False, 'source_label': '2940.2.k.d.589.2', 'source_level': 2940, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 126100789599934620, 'target_is_minimal': False, 'target_label': '6300.2.a.bc.1.1', 'target_level': 6300, 'twist_class_label': '420.2.k.a.169.1', 'twist_class_level': 420, 'twisting_char_label': '105.62', 'twisting_conrey_index': 62, 'weight': 2}
id: 43438740
{'conductor': 105, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 589, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511486110436220, 'source_is_minimal': False, 'source_label': '2940.2.k.d.589.2', 'source_level': 2940, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 58546795189377180, 'target_is_minimal': False, 'target_label': '6300.2.a.n.1.1', 'target_level': 6300, 'twist_class_label': '420.2.k.a.169.1', 'twist_class_level': 420, 'twisting_char_label': '105.83', 'twisting_conrey_index': 83, 'weight': 2}
id: 43438741
{'conductor': 105, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 589, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511486110436220, 'source_is_minimal': False, 'source_label': '2940.2.k.d.589.2', 'source_level': 2940, 'target_conrey_index': 1009, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 13511486110434540, 'target_is_minimal': False, 'target_label': '1260.2.k.d.1009.2', 'target_level': 1260, 'twist_class_label': '420.2.k.a.169.1', 'twist_class_level': 420, 'twisting_char_label': '105.104', 'twisting_conrey_index': 104, 'weight': 2}
id: 43438742
{'conductor': 140, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 589, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511486110436220, 'source_is_minimal': False, 'source_label': '2940.2.k.d.589.2', 'source_level': 2940, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 247697979538940112, 'target_is_minimal': False, 'target_label': '8400.2.a.cd.1.1', 'target_level': 8400, 'twist_class_label': '420.2.k.a.169.1', 'twist_class_level': 420, 'twisting_char_label': '140.27', 'twisting_conrey_index': 27, 'weight': 2}
id: 43438743
{'conductor': 140, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 589, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511486110436220, 'source_is_minimal': False, 'source_label': '2940.2.k.d.589.2', 'source_level': 2940, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 148618787736789200, 'target_is_minimal': False, 'target_label': '8400.2.a.bh.1.1', 'target_level': 8400, 'twist_class_label': '420.2.k.a.169.1', 'twist_class_level': 420, 'twisting_char_label': '140.83', 'twisting_conrey_index': 83, 'weight': 2}
id: 43438744
{'conductor': 140, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 589, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511486110436220, 'source_is_minimal': False, 'source_label': '2940.2.k.d.589.2', 'source_level': 2940, 'target_conrey_index': 1009, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 1305703614096, 'target_is_minimal': False, 'target_label': '1680.2.t.a.1009.1', 'target_level': 1680, 'twist_class_label': '420.2.k.a.169.1', 'twist_class_level': 420, 'twisting_char_label': '140.139', 'twisting_conrey_index': 139, 'weight': 2}
id: 43438745
{'conductor': 420, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 589, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511486110436220, 'source_is_minimal': False, 'source_label': '2940.2.k.d.589.2', 'source_level': 2940, 'target_conrey_index': 1009, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 63051700486804400, 'target_is_minimal': False, 'target_label': '5040.2.t.o.1009.2', 'target_level': 5040, 'twist_class_label': '420.2.k.a.169.1', 'twist_class_level': 420, 'twisting_char_label': '420.419', 'twisting_conrey_index': 419, 'weight': 2}

Column	Type
charpoly_factorization	jsonb
hecke_orbit_code	bigint
p	integer

mf_hecke_charpolys • Show schema

id: 2927200
{'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 13511486110436220, 'p': 2}
id: 2927201
{'charpoly_factorization': [[[1, 0, 1], 1]], 'hecke_orbit_code': 13511486110436220, 'p': 3}
id: 2927202
{'charpoly_factorization': [[[5, -4, 1], 1]], 'hecke_orbit_code': 13511486110436220, 'p': 5}
id: 2927203
{'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 13511486110436220, 'p': 7}
id: 2927204
{'charpoly_factorization': [[[4, 1], 2]], 'hecke_orbit_code': 13511486110436220, 'p': 11}
id: 2927205
{'charpoly_factorization': [[[36, 0, 1], 1]], 'hecke_orbit_code': 13511486110436220, 'p': 13}
id: 2927206
{'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 13511486110436220, 'p': 17}
id: 2927207
{'charpoly_factorization': [[[-6, 1], 2]], 'hecke_orbit_code': 13511486110436220, 'p': 19}
id: 2927208
{'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 13511486110436220, 'p': 23}
id: 2927209
{'charpoly_factorization': [[[6, 1], 2]], 'hecke_orbit_code': 13511486110436220, 'p': 29}
id: 2927210
{'charpoly_factorization': [[[-2, 1], 2]], 'hecke_orbit_code': 13511486110436220, 'p': 31}
id: 2927211
{'charpoly_factorization': [[[16, 0, 1], 1]], 'hecke_orbit_code': 13511486110436220, 'p': 37}
id: 2927212
{'charpoly_factorization': [[[8, 1], 2]], 'hecke_orbit_code': 13511486110436220, 'p': 41}
id: 2927213
{'charpoly_factorization': [[[16, 0, 1], 1]], 'hecke_orbit_code': 13511486110436220, 'p': 43}
id: 2927214
{'charpoly_factorization': [[[16, 0, 1], 1]], 'hecke_orbit_code': 13511486110436220, 'p': 47}
id: 2927215
{'charpoly_factorization': [[[36, 0, 1], 1]], 'hecke_orbit_code': 13511486110436220, 'p': 53}
id: 2927216
{'charpoly_factorization': [[[-4, 1], 2]], 'hecke_orbit_code': 13511486110436220, 'p': 59}
id: 2927217
{'charpoly_factorization': [[[14, 1], 2]], 'hecke_orbit_code': 13511486110436220, 'p': 61}
id: 2927218
{'charpoly_factorization': [[[16, 0, 1], 1]], 'hecke_orbit_code': 13511486110436220, 'p': 67}
id: 2927219
{'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 13511486110436220, 'p': 71}
id: 2927220
{'charpoly_factorization': [[[100, 0, 1], 1]], 'hecke_orbit_code': 13511486110436220, 'p': 73}
id: 2927221
{'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 13511486110436220, 'p': 79}
id: 2927222
{'charpoly_factorization': [[[256, 0, 1], 1]], 'hecke_orbit_code': 13511486110436220, 'p': 83}
id: 2927223
{'charpoly_factorization': [[[-8, 1], 2]], 'hecke_orbit_code': 13511486110436220, 'p': 89}
id: 2927224
{'charpoly_factorization': [[[100, 0, 1], 1]], 'hecke_orbit_code': 13511486110436220, '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': 11, 'hecke_orbit': 4, 'label': '2940.2.k.d', 'level': 2940, '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
Showing the first 100 of 258 matching records in this table.

id: 37139335
{'hecke_orbit_code': 13511486110436220, 'n': 1, 'trace_an': 2}
id: 37139336
{'hecke_orbit_code': 13511486110436220, 'n': 2, 'trace_an': 0}
id: 37139337
{'hecke_orbit_code': 13511486110436220, 'n': 3, 'trace_an': 0}
id: 37139338
{'hecke_orbit_code': 13511486110436220, 'n': 4, 'trace_an': 0}
id: 37139339
{'hecke_orbit_code': 13511486110436220, 'n': 5, 'trace_an': 4}
id: 37139340
{'hecke_orbit_code': 13511486110436220, 'n': 6, 'trace_an': 0}
id: 37139341
{'hecke_orbit_code': 13511486110436220, 'n': 7, 'trace_an': 0}
id: 37139342
{'hecke_orbit_code': 13511486110436220, 'n': 8, 'trace_an': 0}
id: 37139343
{'hecke_orbit_code': 13511486110436220, 'n': 9, 'trace_an': -2}
id: 37139344
{'hecke_orbit_code': 13511486110436220, 'n': 10, 'trace_an': 0}
id: 37139345
{'hecke_orbit_code': 13511486110436220, 'n': 11, 'trace_an': -8}
id: 37139346
{'hecke_orbit_code': 13511486110436220, 'n': 12, 'trace_an': 0}
id: 37139347
{'hecke_orbit_code': 13511486110436220, 'n': 13, 'trace_an': 0}
id: 37139348
{'hecke_orbit_code': 13511486110436220, 'n': 14, 'trace_an': 0}
id: 37139349
{'hecke_orbit_code': 13511486110436220, 'n': 15, 'trace_an': 2}
id: 37139350
{'hecke_orbit_code': 13511486110436220, 'n': 16, 'trace_an': 0}
id: 37139351
{'hecke_orbit_code': 13511486110436220, 'n': 17, 'trace_an': 0}
id: 37139352
{'hecke_orbit_code': 13511486110436220, 'n': 18, 'trace_an': 0}
id: 37139353
{'hecke_orbit_code': 13511486110436220, 'n': 19, 'trace_an': 12}
id: 37139354
{'hecke_orbit_code': 13511486110436220, 'n': 20, 'trace_an': 0}
id: 37139355
{'hecke_orbit_code': 13511486110436220, 'n': 21, 'trace_an': 0}
id: 37139356
{'hecke_orbit_code': 13511486110436220, 'n': 22, 'trace_an': 0}
id: 37139357
{'hecke_orbit_code': 13511486110436220, 'n': 23, 'trace_an': 0}
id: 37139358
{'hecke_orbit_code': 13511486110436220, 'n': 24, 'trace_an': 0}
id: 37139359
{'hecke_orbit_code': 13511486110436220, 'n': 25, 'trace_an': 6}
id: 37139360
{'hecke_orbit_code': 13511486110436220, 'n': 26, 'trace_an': 0}
id: 37139361
{'hecke_orbit_code': 13511486110436220, 'n': 27, 'trace_an': 0}
id: 37139362
{'hecke_orbit_code': 13511486110436220, 'n': 28, 'trace_an': 0}
id: 37139363
{'hecke_orbit_code': 13511486110436220, 'n': 29, 'trace_an': -12}
id: 37139364
{'hecke_orbit_code': 13511486110436220, 'n': 30, 'trace_an': 0}
id: 37139365
{'hecke_orbit_code': 13511486110436220, 'n': 31, 'trace_an': 4}
id: 37139366
{'hecke_orbit_code': 13511486110436220, 'n': 32, 'trace_an': 0}
id: 37139367
{'hecke_orbit_code': 13511486110436220, 'n': 33, 'trace_an': 0}
id: 37139368
{'hecke_orbit_code': 13511486110436220, 'n': 34, 'trace_an': 0}
id: 37139369
{'hecke_orbit_code': 13511486110436220, 'n': 35, 'trace_an': 0}
id: 37139370
{'hecke_orbit_code': 13511486110436220, 'n': 36, 'trace_an': 0}
id: 37139371
{'hecke_orbit_code': 13511486110436220, 'n': 37, 'trace_an': 0}
id: 37139372
{'hecke_orbit_code': 13511486110436220, 'n': 38, 'trace_an': 0}
id: 37139373
{'hecke_orbit_code': 13511486110436220, 'n': 39, 'trace_an': -12}
id: 37139374
{'hecke_orbit_code': 13511486110436220, 'n': 40, 'trace_an': 0}
id: 37139375
{'hecke_orbit_code': 13511486110436220, 'n': 41, 'trace_an': -16}
id: 37139376
{'hecke_orbit_code': 13511486110436220, 'n': 42, 'trace_an': 0}
id: 37139377
{'hecke_orbit_code': 13511486110436220, 'n': 43, 'trace_an': 0}
id: 37139378
{'hecke_orbit_code': 13511486110436220, 'n': 44, 'trace_an': 0}
id: 37139379
{'hecke_orbit_code': 13511486110436220, 'n': 45, 'trace_an': -4}
id: 37139380
{'hecke_orbit_code': 13511486110436220, 'n': 46, 'trace_an': 0}
id: 37139381
{'hecke_orbit_code': 13511486110436220, 'n': 47, 'trace_an': 0}
id: 37139382
{'hecke_orbit_code': 13511486110436220, 'n': 48, 'trace_an': 0}
id: 37139383
{'hecke_orbit_code': 13511486110436220, 'n': 49, 'trace_an': 0}
id: 37139384
{'hecke_orbit_code': 13511486110436220, 'n': 50, 'trace_an': 0}
id: 37139385
{'hecke_orbit_code': 13511486110436220, 'n': 51, 'trace_an': -4}
id: 37139386
{'hecke_orbit_code': 13511486110436220, 'n': 52, 'trace_an': 0}
id: 37139387
{'hecke_orbit_code': 13511486110436220, 'n': 53, 'trace_an': 0}
id: 37139388
{'hecke_orbit_code': 13511486110436220, 'n': 54, 'trace_an': 0}
id: 37139389
{'hecke_orbit_code': 13511486110436220, 'n': 55, 'trace_an': -16}
id: 37139390
{'hecke_orbit_code': 13511486110436220, 'n': 56, 'trace_an': 0}
id: 37139391
{'hecke_orbit_code': 13511486110436220, 'n': 57, 'trace_an': 0}
id: 37139392
{'hecke_orbit_code': 13511486110436220, 'n': 58, 'trace_an': 0}
id: 37139393
{'hecke_orbit_code': 13511486110436220, 'n': 59, 'trace_an': 8}
id: 37139394
{'hecke_orbit_code': 13511486110436220, 'n': 60, 'trace_an': 0}
id: 37139395
{'hecke_orbit_code': 13511486110436220, 'n': 61, 'trace_an': -28}
id: 37139396
{'hecke_orbit_code': 13511486110436220, 'n': 62, 'trace_an': 0}
id: 37139397
{'hecke_orbit_code': 13511486110436220, 'n': 63, 'trace_an': 0}
id: 37139398
{'hecke_orbit_code': 13511486110436220, 'n': 64, 'trace_an': 0}
id: 37139399
{'hecke_orbit_code': 13511486110436220, 'n': 65, 'trace_an': 12}
id: 37139400
{'hecke_orbit_code': 13511486110436220, 'n': 66, 'trace_an': 0}
id: 37139401
{'hecke_orbit_code': 13511486110436220, 'n': 67, 'trace_an': 0}
id: 37139402
{'hecke_orbit_code': 13511486110436220, 'n': 68, 'trace_an': 0}
id: 37139403
{'hecke_orbit_code': 13511486110436220, 'n': 69, 'trace_an': -4}
id: 37139404
{'hecke_orbit_code': 13511486110436220, 'n': 70, 'trace_an': 0}
id: 37139405
{'hecke_orbit_code': 13511486110436220, 'n': 71, 'trace_an': 0}
id: 37139406
{'hecke_orbit_code': 13511486110436220, 'n': 72, 'trace_an': 0}
id: 37139407
{'hecke_orbit_code': 13511486110436220, 'n': 73, 'trace_an': 0}
id: 37139408
{'hecke_orbit_code': 13511486110436220, 'n': 74, 'trace_an': 0}
id: 37139409
{'hecke_orbit_code': 13511486110436220, 'n': 75, 'trace_an': 8}
id: 37139410
{'hecke_orbit_code': 13511486110436220, 'n': 76, 'trace_an': 0}
id: 37139411
{'hecke_orbit_code': 13511486110436220, 'n': 77, 'trace_an': 0}
id: 37139412
{'hecke_orbit_code': 13511486110436220, 'n': 78, 'trace_an': 0}
id: 37139413
{'hecke_orbit_code': 13511486110436220, 'n': 79, 'trace_an': 0}
id: 37139414
{'hecke_orbit_code': 13511486110436220, 'n': 80, 'trace_an': 0}
id: 37139415
{'hecke_orbit_code': 13511486110436220, 'n': 81, 'trace_an': 2}
id: 37139416
{'hecke_orbit_code': 13511486110436220, 'n': 82, 'trace_an': 0}
id: 37139417
{'hecke_orbit_code': 13511486110436220, 'n': 83, 'trace_an': 0}
id: 37139418
{'hecke_orbit_code': 13511486110436220, 'n': 84, 'trace_an': 0}
id: 37139419
{'hecke_orbit_code': 13511486110436220, 'n': 85, 'trace_an': 4}
id: 37139420
{'hecke_orbit_code': 13511486110436220, 'n': 86, 'trace_an': 0}
id: 37139421
{'hecke_orbit_code': 13511486110436220, 'n': 87, 'trace_an': 0}
id: 37139422
{'hecke_orbit_code': 13511486110436220, 'n': 88, 'trace_an': 0}
id: 37139423
{'hecke_orbit_code': 13511486110436220, 'n': 89, 'trace_an': 16}
id: 37139424
{'hecke_orbit_code': 13511486110436220, 'n': 90, 'trace_an': 0}
id: 37139425
{'hecke_orbit_code': 13511486110436220, 'n': 91, 'trace_an': 0}
id: 37139426
{'hecke_orbit_code': 13511486110436220, 'n': 92, 'trace_an': 0}
id: 37139427
{'hecke_orbit_code': 13511486110436220, 'n': 93, 'trace_an': 0}
id: 37139428
{'hecke_orbit_code': 13511486110436220, 'n': 94, 'trace_an': 0}
id: 37139429
{'hecke_orbit_code': 13511486110436220, 'n': 95, 'trace_an': 24}
id: 37139430
{'hecke_orbit_code': 13511486110436220, 'n': 96, 'trace_an': 0}
id: 37139431
{'hecke_orbit_code': 13511486110436220, 'n': 97, 'trace_an': 0}
id: 37139432
{'hecke_orbit_code': 13511486110436220, 'n': 98, 'trace_an': 0}
id: 37139433
{'hecke_orbit_code': 13511486110436220, 'n': 99, 'trace_an': 8}
id: 37139434
{'hecke_orbit_code': 13511486110436220, 'n': 100, 'trace_an': 0}

Overview	Random
Universe	Knowledge

Classical	Maass
Hilbert	Bianchi

Elliptic curves over $\Q$ over number fields
Genus 2 curves
Higher genus families
Abelian varieties over $\F_{q}$
Belyi maps

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.