Embedded newform data - 8325.2.a.f.1.1

Formats: - HTML - YAML - JSON - 2026-09-16T18:30:05.810681

• mf_newforms •

  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

  
  {'Nk2': 33300, 'analytic_conductor': 66.47545968271592, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 1], [5, -1], [37, 1]], 'atkin_lehner_string': '+-+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [8325, 1, [3701, 7327, 5626], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [2, 1]], [7, [-1, 1]], [11, [-6, 1]], [13, [-7, 1]]], 'hecke_orbit': 6, 'hecke_orbit_code': 22517998170415237, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '8325.2.a.f', 'level': 8325, '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': [3, 5, 37], 'level_radical': 555, 'minimal_twist': '8325.2.a.b', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-2q^{2}+2q^{4}+q^{7}+6q^{11}+7q^{13}+\\cdots', 'related_objects': ['EllipticCurve/Q/8325/f'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '8325.2.a', 'trace_display': [-2, 0, 0, 1], 'trace_hash': 1549147405840668179, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.004', 'prec': 4}, {'__RealLiteral__': 0, 'data': '0.990', 'prec': 10}, {'__RealLiteral__': 0, 'data': '0.080', 'prec': 7}, {'__RealLiteral__': 0, 'data': '1.961', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.308', 'prec': 10}, {'__RealLiteral__': 0, 'data': '4.827', 'prec': 14}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.015', 'prec': 7}, 'traces': [1, -2, 0, 2, 0, 0, 1, 0, 0, 0, 6, 0, 7, -2, 0, -4, -4, 0, 5, 0, 0, -12, -2, 0, 0, -14, 0, 2, 8, 0, 3, 8, 0, 8, 0, 0, -1, -10, 0, 0, -2, 0, 11, 12, 0, 4, -4, 0, -6, 0, 0, 14, 0, 0, 0, 0, 0, -16, 6, 0, 5, -6, 0, -8, 0, 0, 13, -8, 0, 0, 6, 0, 2, 2, 0, 10, 6, 0, 0, 0, 0, 4, -6, 0, 0, -22, 0, 0, 14, 0, 7, -4, 0, 8, 0, 0, 11, 12, 0, 0, 10, 0, -4, 0, 0, 0, -18, 0, 11, 0, 0, -4, -10, 0, 0, 16, 0, -12, -4, 0, 25, -10, 0, 6, 0, 0, -8, 0, 0, 0, -6, 0, 5, -26, 0, 0, -18, 0, 20, 0, 0, -12, 42, 0, 0, -4, 0, -2, -18, 0, -5, 0, 0, -12, 0, 0, -9, 0, 0, 0, -2, 0, -11, -4, 0, 12, -18, 0, 36, 0, 0, 22, -10, 0, 0, -24, 0, -28, 14, 0, 13, -14, 0, 0, 0, 0, -24, -8, 0, 0, -20, 0, 5, -22, 0, -12, -2, 0, -23, 0, 0, -20, 8, 0, 0, 8, 0, -28, 30, 0, -25, 0, 0, 36, 0, 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29, 72, 0, 40, 0, 0, 2, 56, 0, 0, 12, 0, 84, 60, 0, 0, 68, 0, -95, 0, 0, 76, -36, 0, 0, 0, 0, -60, -82, 0, -2, -10, 0, -144, 0, 0, 3, 16, 0, 0, -34, 0, 33, 24, 0, 22, 210, 0, -53, 0, 0, -16, -6, 0, 0, 64, 0, 0, -82, 0, -75, 92, 0, -52, 0, 0, 8, -2, 0, 0, 20, 0, -175, 0, 0, 4, -26, 0, -78, 0, 0, -88, -54, 0, 0, 0, 0, 4, 42, 0, -120, 62, 0, 8, 0, 0, -39, 40, 0, 0, 44, 0, -24, -20, 0, 0, 42, 0, -21, 0, 0, 252, -50, 0, 0, 46, 0, 16, -34, 0, 16, 0, 0, 96, 0, 0, -73, -6, 0, 0, 78, 0, 43, 0, 0, 20, -18, 0, -53, 0, 0, -10, 88, 0, 0, 96, 0, 48, 2, 0, 21, -48, 0, 0, 0, 0, 36, 20, 0, 0, -90, 0, 11, -154, 0, -50, -52, 0, 72, 0, 0, 96, -76, 0, 0, 0, 0, 112, -6, 0, -35, -12, 0, 84, 0, 0, -25, 30, 0, 0, -90, 0, -25, -56, 0, -112, -20, 0, -25, 0, 0, 0, -144, 0, 0, 48, 0, -100, 22, 0, 143, 72, 0, -8, 0, 0, 59, 0, 0, 0, -36, 0, 60, -78, 0, -52, 30, 0, 7, 0, 0, 20, -66, 0, 0, -138, 0, 62, -24, 0, -12, 56, 0, 24, 0, 0, 37, -136, 0, 0, 16, 0, 0, -88, 0, -60, -2, 0, 80, 0, 0, 4, -24, 0, 0, 0, 0, 140, 22, 0, 40, -86, 0, 0, 0, 0, -22, 156, 0, 0, -98, 0, 70, 50, 0, 72, 108, 0, 72, 0, 0, -72, 54, 0, 0, 104, 0, 0, -10, 0, 65, 60, 0, 120, 0, 0, -189, 100, 0, 0, 0, 0, -45, 0, 0, 72, -32, 0, -30, 0, 0, 96, -4, 0, 0, -36, 0, 44, -10, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

  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

  
  {'an_normalized': [[1.0, 0.0], [-1.4142135623730951, 0.0], [0.0, 0.0], [1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.37796447300922725, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.8090680674665818, 0.0], [0.0, 0.0], [1.941450686788302, 0.0], [-0.5345224838248488, 0.0], [0.0, 0.0], [-1.0, 0.0], [-0.9701425001453319, 0.0], [0.0, 0.0], [1.1470786693528088, 0.0], [0.0, 0.0], [0.0, 0.0], [-2.5584085962673253, 0.0], [-0.41702882811414954, 0.0], [0.0, 0.0], [0.0, 0.0], [-2.7456258919345764, 0.0], [0.0, 0.0], [0.37796447300922725, 0.0], [1.4855627054164149, 0.0], [0.0, 0.0], [0.5388159060803247, 0.0], [1.4142135623730951, 0.0], [0.0, 0.0], [1.3719886811400708, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.1643989873053573, 0.0], [-1.6222142113076254, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.31234752377721214, 0.0], [0.0, 0.0], [1.6774842736586513, 0.0], [1.8090680674665818, 0.0], [0.0, 0.0], [0.5897678246195885, 0.0], [-0.5834599659915782, 0.0], [0.0, 0.0], [-0.8571428571428571, 0.0], [0.0, 0.0], [0.0, 0.0], [1.941450686788302, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-2.1009029257555607, 0.0], [0.7811334658849433, 0.0], [0.0, 0.0], [0.6401843996644798, 0.0], [-0.762000762001143, 0.0], [0.0, 0.0], [-1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.588202776631968, 0.0], [-0.9701425001453319, 0.0], [0.0, 0.0], [0.0, 0.0], [0.712068994916312, 0.0], [0.0, 0.0], [0.23408229439226114, 0.0], [0.23249527748763857, 0.0], [0.0, 0.0], [1.1470786693528088, 0.0], [0.6837634587578277, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.4417261042993862, 0.0], [-0.658585559938142, 0.0], [0.0, 0.0], [0.0, 0.0], [-2.372321010475645, 0.0], [0.0, 0.0], [0.0, 0.0], [1.483997032008904, 0.0], [0.0, 0.0], [0.7337993857053428, 0.0], [-0.41702882811414954, 0.0], [0.0, 0.0], [0.8251369970070347, 0.0], [0.0, 0.0], [0.0, 0.0], [1.116880781646981, 0.0], [1.212183053462653, 0.0], [0.0, 0.0], [0.0, 0.0]], 'angles': [-0.375, None, None, -0.21974057041908082, -0.07010944950188587, -0.03860523957781663, -0.33060316840167087, -0.15278498623355483, -0.283431409198009, -0.11675309381721469, -0.2065860009601446, None, -0.2749579914769047, -0.09164575062208902, -0.29711543333786, -0.25, -0.18613953396219762, -0.19814305325021575, -0.1039709396603401, -0.19206427871893264, -0.23132952961286263, -0.25, -0.30340515484845554, -0.11693906143850916, -0.15569997540709943, -0.16712231412473927, -0.28157064017587025, -0.41796095208204553, -0.16169500549236118, -0.3279380434444061, -0.30774979649998657, -0.29220936457191626, -0.38960326155719704, -0.08884658221734205, -0.38195183985072756, -0.28260724918129865, -0.30846481806078896, -0.32088308932431, -0.3726170848694172, -0.31206260624397164, -0.1623681835990658, -0.1697478883666227, -0.37875111278484286, -0.22120256439336058, -0.2613489354999302, -0.4016901845947097, -0.41493544660399634, -0.24467010216980903, -0.3269020739200204, -0.4253860494997191, -0.2921990564152555, -0.15110354873968773, -0.21380659832444093, -0.35871749584953816, -0.22003993106041783, -0.20011776127667638, -0.1903931858404624, -0.25, -0.31385708030214693, -0.24049997174152574, -0.2262601167574881, -0.09757221423329805, -0.21799259809659277, -0.3352408095926775, -0.24550141638015138, -0.10599229607602517, -0.23246867486369227, -0.10507519943405326, -0.2155562198189278, -0.3502029677248659, -0.41218187532363004, -0.25, -0.2708289582267901, -0.28742729915937815, -0.2955845177743433, -0.20040670120797893, -0.2743027619913069, -0.3383378461526011, -0.32418796601821837, -0.35604567101462464, -0.3496958969469279, -0.3400528610093335, -0.3785091928192471, -0.37270240967759233, -0.37164551410072794, -0.17967908238220043, -0.2197746971721295, -0.31916077623208755, -0.3443873992635885, -0.1893718109145778, -0.26475073365281937, -0.2058022576735028, -0.11558233445825146, -0.22111138170949662, -0.18787384234175308, -0.3982700477230803, -0.10298903595886494, -0.10540460644899724, -0.24652004284292114, -0.2671396237305985], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': 0.0, 'hecke_orbit': 6, 'hecke_orbit_code': 22517998170415237, 'label': '8325.2.a.f.1.1', 'level': 8325, 'weight': 2}
• mf_newspaces •

  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

  
  {'ALdims': [24, 30, 32, 28, 42, 39, 44, 46], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [5, 6, 6, 6, 6, 6, 6, 6], 'ALdims_old': [112, 111, 111, 109, 102, 99, 92, 96], 'Nk2': 33300, 'analytic_conductor': 66.47545968271592, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [8325, 1, [3701, 7327, 5626], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1117, 'dim': 285, 'eis_dim': 47, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 7, 11, 13], 'hecke_orbit_code': 33562757, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 7, 7, 8, 8, 9, 9, 10, 10, 13, 13, 16, 16], 'label': '8325.2.a', 'level': 8325, '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': [3, 5, 37], 'level_radical': 555, 'mf_dim': 1164, 'mf_new_dim': 285, 'num_forms': 76, 'plus_dim': 135, 'prim_orbit_index': 1, 'relative_dim': 285, 'sturm_bound': 2280, 'trace_bound': 13, 'trace_display': [-1, 0, 0, 2], 'traces': [285, -1, 0, 289, 0, 0, 2, -15, 0, 0, 2, 0, 8, -2, 0, 297, 0, 0, 14, 0, 0, 2, -4, 0, 0, -18, 0, 4, 22, 0, 12, -11, 0, -10, 0, 0, 1, 4, 0, 0, -4, 0, 18, -20, 0, -28, 14, 0, 291, 0, 0, 10, 12, 0, 0, -28, 0, -10, -44, 0, -2, -32, 0, 301, 0, 0, 16, 46, 0, 0, 2, 0, 48, 5, 0, 4, -46, 0, -18, 0, 0, 4, 6, 0, 0, 8, 0, -36, 32, 0, -34, -72, 0, -94, 0, 0, 54, -7, 0, 0, -4, 0, -6, -22, 0, -64, -28, 0, -12, 0, 0, -32, -18, 0, 0, 22, 0, -8, 34, 0, 343, -22, 0, -56, 0, 0, -18, 5, 0, 0, -6, 0, 22, -64, 0, -114, 14, 0, 32, 0, 0, 18, -2, 0, 0, -152, 0, 3, 16, 0, -88, -48, 0, -18, 0, 0, 48, -28, 0, 0, 12, 0, -2, -98, 0, -86, 6, 0, 355, 0, 0, 48, 12, 0, 0, -60, 0, 14, -12, 0, 48, -76, 0, -12, 0, 0, -18, 184, 0, 0, 68, 0, 40, 170, 0, 533, 100, 0, -140, 0, 0, 52, -12, 0, 0, -40, 0, 158, 2, 0, 50, -54, 0, 40, 0, 0, 52, 74, 0, 0, 0, 0, -6, 56, 0, -18, 40, 0, 72, 0, 0, -22, 118, 0, 0, -112, 0, 32, -68, 0, -2, -23, 0, -130, 0, 0, -24, -36, 0, 0, 38, 0, -16, -22, 0, 161, -50, 0, -8, 0, 0, 52, -26, 0, 0, 152, 0, -112, -118, 0, -34, 74, 0, -110, 0, 0, 30, 96, 0, 0, 10, 0, -68, 280, 0, -176, -26, 0, 403, 0, 0, 102, -38, 0, 0, 15, 0, -68, 72, 0, -74, 88, 0, 48, 0, 0, 82, -184, 0, 0, 74, 0, 88, 136, 0, -172, 54, 0, -172, 0, 0, 40, -68, 0, 0, 144, 0, 6, 138, 0, -200, 296, 0, -100, 0, 0, -60, -15, 0, 0, 156, 0, -110, 36, 0, 28, -40, 0, -158, 0, 0, 44, -4, 0, 0, 322, 0, -108, -86, 0, 357, -172, 0, 236, 0, 0, -52, -72, 0, 0, -42, 0, -88, 244, 0, -296, 136, 0, -174, 0, 0, -168, -8, 0, 0, -46, 0, 86, -110, 0, -204, 181, 0, 88, 0, 0, -64, 48, 0, 0, -96, 0, 36, 206, 0, -20, -20, 0, 46, 0, 0, 108, -36, 0, 0, -218, 0, 56, -262, 0, 80, 38, 0, -66, 0, 0, -16, -56, 0, 0, -150, 0, 116, 136, 0, -334, 56, 0, -260, 0, 0, 180, -134, 0, 0, 214, 0, -20, -48, 0, 14, -50, 0, 232, 0, 0, -100, 232, 0, 0, -36, 0, 48, 14, 0, 210, -12, 0, 12, 0, 0, -12, -18, 0, 0, 132, 0, 20, 148, 0, -4, 194, 0, 393, 0, 0, -90, -30, 0, 0, 0, 0, 104, 20, 0, 160, -98, 0, 104, 0, 0, -168, -134, 0, 0, 0, 0, 140, -148, 0, 42, -75, 0, 238, 0, 0, -102, 6, 0, 0, -84, 0, -22, -12, 0, 42, -100, 0, 157, 0, 0, 256, 74, 0, 0, 0, 0, -238, -44, 0, -46, 2, 0, -494, 0, 0, -8, -58, 0, 0, -224, 0, 94, -158, 0, -184, 102, 0, -84, 0, 0, -174, -34, 0, 0, 100, 0, -96, 130, 0, -150, 180, 0, -62, 0, 0, -80, -199, 0, 0, 18, 0, -90, 218, 0, -218, -82, 0, 96, 0, 0, -9, -92, 0, 0, 86, 0, -56, -210, 0, -146, 128, 0, 64, 0, 0, -70, 68, 0, 0, -106, 0, 184, 170, 0, -32, -56, 0, 222, 0, 0, -24, 106, 0, 0, 190, 0, 190, 24, 0, -42, -200, 0, -342, 0, 0, 62, 268, 0, 0, 4, 0, -72, 112, 0, 192, -182, 0, 80, 0, 0, 96, -34, 0, 0, 322, 0, -186, 54, 0, -88, -220, 0, -192, 0, 0, -96, -304, 0, 0, 380, 0, 20, 36, 0, 511, -132, 0, 100, 0, 0, 80, -178, 0, 0, 94, 0, 84, 122, 0, 56, 38, 0, -216, 0, 0, 34, 242, 0, 0, 178, 0, 6, -188, 0, -2, -34, 0, 0, 0, 0, -10, -4, 0, 0, 96, 0, -94, -46, 0, -418, 135, 0, 98, 0, 0, -174, 112, 0, 0, 60, 0, -20, 256, 0, -364, -84, 0, 206, 0, 0, -154, 102, 0, 0, -336, 0, -4, -132, 0, 214, 596, 0, -96, 0, 0, -154, 50, 0, 0, -56, 0, 2, 120, 0, -144, 36, 0, -174, 0, 0, 170, 268, 0, 0, 606, 0, 198, 190, 0, 126, -164, 0, 317, 0, 0, 38, 182, 0, 0, -152, 0, -68, -272, 0, -416, -78, 0, 330, 0, 0, -14, -50, 0, 0, -16, 0, 230, 122, 0, 278, -228, 0, -26, 0, 0, 76, 94, 0, 0, -248, 0, -116, -136, 0, -172, 188, 0, 146, 0, 0, 310, 6, 0, 0, 460, 0, 98, 216, 0, 239, 26, 0, -196, 0, 0, 100, -126, 0, 0, 12, 0, 138, -120, 0, -12, 132, 0, -126, 0, 0, 64, -140, 0, 0, -216, 0, -148, -74, 0, 124, 274, 0, 912, 0, 0, 46, -176, 0, 0, -254, 0, 40, 296, 0, -326, 246, 0, -346, 0, 0, 220, -166, 0, 0, 332, 0, 106, -168, 0, 110, -402, 0, -122, 0, 0, -88, 284, 0, 0, 6, 0, 114, -358, 0, 702, -94, 0, 58, 0, 0, 46, -182, 0, 0, -280, 0, -246, -206, 0, 308, 374, 0, -184, 0, 0, -84, 76, 0, 0, -142, 0, 24, -128, 0, -112, 182, 0, 22, 0, 0, 344, 184, 0, 0, -424, 0, -252, 304, 0, -7, -38, 0, -274, 0, 0, -116, -83, 0, 0, -36, 0, -184, -432, 0, 134, 38, 0, 10, 0, 0, -108, -222, 0, 0, 328, 0, -200, 88, 0, -190, -56, 0, -278, 0, 0, -142, -360, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

  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

  
  
  • id: 45003152
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 22517998170415237, 'source_is_minimal': True, 'source_label': '8325.2.a.f.1.1', 'source_level': 8325, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22517998170415237, 'target_is_minimal': True, 'target_label': '8325.2.a.f.1.1', 'target_level': 8325, 'twist_class_label': '8325.2.a.b.1.1', 'twist_class_level': 8325, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 45003153
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 22517998170415237, 'source_is_minimal': True, 'source_label': '8325.2.a.f.1.1', 'source_level': 8325, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 130604389227307141, 'target_is_minimal': True, 'target_label': '8325.2.a.bd.1.1', 'target_level': 8325, 'twist_class_label': '8325.2.a.b.1.1', 'twist_class_level': 8325, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 45003154
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 22517998170415237, 'source_is_minimal': True, 'source_label': '8325.2.a.f.1.1', 'source_level': 8325, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 121597189972566149, 'target_is_minimal': True, 'target_label': '8325.2.a.bb.1.1', 'target_level': 8325, 'twist_class_label': '8325.2.a.b.1.1', 'twist_class_level': 8325, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 45003155
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 22517998170415237, 'source_is_minimal': True, 'source_label': '8325.2.a.f.1.1', 'source_level': 8325, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599660933253, 'target_is_minimal': True, 'target_label': '8325.2.a.b.1.1', 'target_level': 8325, 'twist_class_label': '8325.2.a.b.1.1', 'twist_class_level': 8325, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 4721750
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 22517998170415237, 'p': 2}
  • id: 4721751
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 22517998170415237, 'p': 3}
  • id: 4721752
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 22517998170415237, 'p': 5}
  • id: 4721753
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 22517998170415237, 'p': 7}
  • id: 4721754
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 22517998170415237, 'p': 11}
  • id: 4721755
    {'charpoly_factorization': [[[-7, 1], 1]], 'hecke_orbit_code': 22517998170415237, 'p': 13}
  • id: 4721756
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 22517998170415237, 'p': 17}
  • id: 4721757
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 22517998170415237, 'p': 19}
  • id: 4721758
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 22517998170415237, 'p': 23}
  • id: 4721759
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 22517998170415237, 'p': 29}
  • id: 4721760
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 22517998170415237, 'p': 31}
  • id: 4721761
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 22517998170415237, 'p': 37}
  • id: 4721762
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 22517998170415237, 'p': 41}
  • id: 4721763
    {'charpoly_factorization': [[[-11, 1], 1]], 'hecke_orbit_code': 22517998170415237, 'p': 43}
  • id: 4721764
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 22517998170415237, 'p': 47}
  • id: 4721765
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 22517998170415237, 'p': 53}
  • id: 4721766
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 22517998170415237, 'p': 59}
  • id: 4721767
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 22517998170415237, 'p': 61}
  • id: 4721768
    {'charpoly_factorization': [[[-13, 1], 1]], 'hecke_orbit_code': 22517998170415237, 'p': 67}
  • id: 4721769
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 22517998170415237, 'p': 71}
  • id: 4721770
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 22517998170415237, 'p': 73}
  • id: 4721771
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 22517998170415237, 'p': 79}
  • id: 4721772
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 22517998170415237, 'p': 83}
  • id: 4721773
    {'charpoly_factorization': [[[-14, 1], 1]], 'hecke_orbit_code': 22517998170415237, 'p': 89}
  • id: 4721774
    {'charpoly_factorization': [[[-11, 1], 1]], 'hecke_orbit_code': 22517998170415237, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 1, 'hecke_orbit': 6, 'label': '8325.2.a.f', 'level': 8325, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 43128031
    {'hecke_orbit_code': 22517998170415237, 'n': 1, 'trace_an': 1}
  • id: 43128032
    {'hecke_orbit_code': 22517998170415237, 'n': 2, 'trace_an': -2}
  • id: 43128033
    {'hecke_orbit_code': 22517998170415237, 'n': 3, 'trace_an': 0}
  • id: 43128034
    {'hecke_orbit_code': 22517998170415237, 'n': 4, 'trace_an': 2}
  • id: 43128035
    {'hecke_orbit_code': 22517998170415237, 'n': 5, 'trace_an': 0}
  • id: 43128036
    {'hecke_orbit_code': 22517998170415237, 'n': 6, 'trace_an': 0}
  • id: 43128037
    {'hecke_orbit_code': 22517998170415237, 'n': 7, 'trace_an': 1}
  • id: 43128038
    {'hecke_orbit_code': 22517998170415237, 'n': 8, 'trace_an': 0}
  • id: 43128039
    {'hecke_orbit_code': 22517998170415237, 'n': 9, 'trace_an': 0}
  • id: 43128040
    {'hecke_orbit_code': 22517998170415237, 'n': 10, 'trace_an': 0}
  • id: 43128041
    {'hecke_orbit_code': 22517998170415237, 'n': 11, 'trace_an': 6}
  • id: 43128042
    {'hecke_orbit_code': 22517998170415237, 'n': 12, 'trace_an': 0}
  • id: 43128043
    {'hecke_orbit_code': 22517998170415237, 'n': 13, 'trace_an': 7}
  • id: 43128044
    {'hecke_orbit_code': 22517998170415237, 'n': 14, 'trace_an': -2}
  • id: 43128045
    {'hecke_orbit_code': 22517998170415237, 'n': 15, 'trace_an': 0}
  • id: 43128046
    {'hecke_orbit_code': 22517998170415237, 'n': 16, 'trace_an': -4}
  • id: 43128047
    {'hecke_orbit_code': 22517998170415237, 'n': 17, 'trace_an': -4}
  • id: 43128048
    {'hecke_orbit_code': 22517998170415237, 'n': 18, 'trace_an': 0}
  • id: 43128049
    {'hecke_orbit_code': 22517998170415237, 'n': 19, 'trace_an': 5}
  • id: 43128050
    {'hecke_orbit_code': 22517998170415237, 'n': 20, 'trace_an': 0}
  • id: 43128051
    {'hecke_orbit_code': 22517998170415237, 'n': 21, 'trace_an': 0}
  • id: 43128052
    {'hecke_orbit_code': 22517998170415237, 'n': 22, 'trace_an': -12}
  • id: 43128053
    {'hecke_orbit_code': 22517998170415237, 'n': 23, 'trace_an': -2}
  • id: 43128054
    {'hecke_orbit_code': 22517998170415237, 'n': 24, 'trace_an': 0}
  • id: 43128055
    {'hecke_orbit_code': 22517998170415237, 'n': 25, 'trace_an': 0}
  • id: 43128056
    {'hecke_orbit_code': 22517998170415237, 'n': 26, 'trace_an': -14}
  • id: 43128057
    {'hecke_orbit_code': 22517998170415237, 'n': 27, 'trace_an': 0}
  • id: 43128058
    {'hecke_orbit_code': 22517998170415237, 'n': 28, 'trace_an': 2}
  • id: 43128059
    {'hecke_orbit_code': 22517998170415237, 'n': 29, 'trace_an': 8}
  • id: 43128060
    {'hecke_orbit_code': 22517998170415237, 'n': 30, 'trace_an': 0}
  • id: 43128061
    {'hecke_orbit_code': 22517998170415237, 'n': 31, 'trace_an': 3}
  • id: 43128062
    {'hecke_orbit_code': 22517998170415237, 'n': 32, 'trace_an': 8}
  • id: 43128063
    {'hecke_orbit_code': 22517998170415237, 'n': 33, 'trace_an': 0}
  • id: 43128064
    {'hecke_orbit_code': 22517998170415237, 'n': 34, 'trace_an': 8}
  • id: 43128065
    {'hecke_orbit_code': 22517998170415237, 'n': 35, 'trace_an': 0}
  • id: 43128066
    {'hecke_orbit_code': 22517998170415237, 'n': 36, 'trace_an': 0}
  • id: 43128067
    {'hecke_orbit_code': 22517998170415237, 'n': 37, 'trace_an': -1}
  • id: 43128068
    {'hecke_orbit_code': 22517998170415237, 'n': 38, 'trace_an': -10}
  • id: 43128069
    {'hecke_orbit_code': 22517998170415237, 'n': 39, 'trace_an': 0}
  • id: 43128070
    {'hecke_orbit_code': 22517998170415237, 'n': 40, 'trace_an': 0}
  • id: 43128071
    {'hecke_orbit_code': 22517998170415237, 'n': 41, 'trace_an': -2}
  • id: 43128072
    {'hecke_orbit_code': 22517998170415237, 'n': 42, 'trace_an': 0}
  • id: 43128073
    {'hecke_orbit_code': 22517998170415237, 'n': 43, 'trace_an': 11}
  • id: 43128074
    {'hecke_orbit_code': 22517998170415237, 'n': 44, 'trace_an': 12}
  • id: 43128075
    {'hecke_orbit_code': 22517998170415237, 'n': 45, 'trace_an': 0}
  • id: 43128076
    {'hecke_orbit_code': 22517998170415237, 'n': 46, 'trace_an': 4}
  • id: 43128077
    {'hecke_orbit_code': 22517998170415237, 'n': 47, 'trace_an': -4}
  • id: 43128078
    {'hecke_orbit_code': 22517998170415237, 'n': 48, 'trace_an': 0}
  • id: 43128079
    {'hecke_orbit_code': 22517998170415237, 'n': 49, 'trace_an': -6}
  • id: 43128080
    {'hecke_orbit_code': 22517998170415237, 'n': 50, 'trace_an': 0}
  • id: 43128081
    {'hecke_orbit_code': 22517998170415237, 'n': 51, 'trace_an': 0}
  • id: 43128082
    {'hecke_orbit_code': 22517998170415237, 'n': 52, 'trace_an': 14}
  • id: 43128083
    {'hecke_orbit_code': 22517998170415237, 'n': 53, 'trace_an': 0}
  • id: 43128084
    {'hecke_orbit_code': 22517998170415237, 'n': 54, 'trace_an': 0}
  • id: 43128085
    {'hecke_orbit_code': 22517998170415237, 'n': 55, 'trace_an': 0}
  • id: 43128086
    {'hecke_orbit_code': 22517998170415237, 'n': 56, 'trace_an': 0}
  • id: 43128087
    {'hecke_orbit_code': 22517998170415237, 'n': 57, 'trace_an': 0}
  • id: 43128088
    {'hecke_orbit_code': 22517998170415237, 'n': 58, 'trace_an': -16}
  • id: 43128089
    {'hecke_orbit_code': 22517998170415237, 'n': 59, 'trace_an': 6}
  • id: 43128090
    {'hecke_orbit_code': 22517998170415237, 'n': 60, 'trace_an': 0}
  • id: 43128091
    {'hecke_orbit_code': 22517998170415237, 'n': 61, 'trace_an': 5}
  • id: 43128092
    {'hecke_orbit_code': 22517998170415237, 'n': 62, 'trace_an': -6}
  • id: 43128093
    {'hecke_orbit_code': 22517998170415237, 'n': 63, 'trace_an': 0}
  • id: 43128094
    {'hecke_orbit_code': 22517998170415237, 'n': 64, 'trace_an': -8}
  • id: 43128095
    {'hecke_orbit_code': 22517998170415237, 'n': 65, 'trace_an': 0}
  • id: 43128096
    {'hecke_orbit_code': 22517998170415237, 'n': 66, 'trace_an': 0}
  • id: 43128097
    {'hecke_orbit_code': 22517998170415237, 'n': 67, 'trace_an': 13}
  • id: 43128098
    {'hecke_orbit_code': 22517998170415237, 'n': 68, 'trace_an': -8}
  • id: 43128099
    {'hecke_orbit_code': 22517998170415237, 'n': 69, 'trace_an': 0}
  • id: 43128100
    {'hecke_orbit_code': 22517998170415237, 'n': 70, 'trace_an': 0}
  • id: 43128101
    {'hecke_orbit_code': 22517998170415237, 'n': 71, 'trace_an': 6}
  • id: 43128102
    {'hecke_orbit_code': 22517998170415237, 'n': 72, 'trace_an': 0}
  • id: 43128103
    {'hecke_orbit_code': 22517998170415237, 'n': 73, 'trace_an': 2}
  • id: 43128104
    {'hecke_orbit_code': 22517998170415237, 'n': 74, 'trace_an': 2}
  • id: 43128105
    {'hecke_orbit_code': 22517998170415237, 'n': 75, 'trace_an': 0}
  • id: 43128106
    {'hecke_orbit_code': 22517998170415237, 'n': 76, 'trace_an': 10}
  • id: 43128107
    {'hecke_orbit_code': 22517998170415237, 'n': 77, 'trace_an': 6}
  • id: 43128108
    {'hecke_orbit_code': 22517998170415237, 'n': 78, 'trace_an': 0}
  • id: 43128109
    {'hecke_orbit_code': 22517998170415237, 'n': 79, 'trace_an': 0}
  • id: 43128110
    {'hecke_orbit_code': 22517998170415237, 'n': 80, 'trace_an': 0}
  • id: 43128111
    {'hecke_orbit_code': 22517998170415237, 'n': 81, 'trace_an': 0}
  • id: 43128112
    {'hecke_orbit_code': 22517998170415237, 'n': 82, 'trace_an': 4}
  • id: 43128113
    {'hecke_orbit_code': 22517998170415237, 'n': 83, 'trace_an': -6}
  • id: 43128114
    {'hecke_orbit_code': 22517998170415237, 'n': 84, 'trace_an': 0}
  • id: 43128115
    {'hecke_orbit_code': 22517998170415237, 'n': 85, 'trace_an': 0}
  • id: 43128116
    {'hecke_orbit_code': 22517998170415237, 'n': 86, 'trace_an': -22}
  • id: 43128117
    {'hecke_orbit_code': 22517998170415237, 'n': 87, 'trace_an': 0}
  • id: 43128118
    {'hecke_orbit_code': 22517998170415237, 'n': 88, 'trace_an': 0}
  • id: 43128119
    {'hecke_orbit_code': 22517998170415237, 'n': 89, 'trace_an': 14}
  • id: 43128120
    {'hecke_orbit_code': 22517998170415237, 'n': 90, 'trace_an': 0}
  • id: 43128121
    {'hecke_orbit_code': 22517998170415237, 'n': 91, 'trace_an': 7}
  • id: 43128122
    {'hecke_orbit_code': 22517998170415237, 'n': 92, 'trace_an': -4}
  • id: 43128123
    {'hecke_orbit_code': 22517998170415237, 'n': 93, 'trace_an': 0}
  • id: 43128124
    {'hecke_orbit_code': 22517998170415237, 'n': 94, 'trace_an': 8}
  • id: 43128125
    {'hecke_orbit_code': 22517998170415237, 'n': 95, 'trace_an': 0}
  • id: 43128126
    {'hecke_orbit_code': 22517998170415237, 'n': 96, 'trace_an': 0}
  • id: 43128127
    {'hecke_orbit_code': 22517998170415237, 'n': 97, 'trace_an': 11}
  • id: 43128128
    {'hecke_orbit_code': 22517998170415237, 'n': 98, 'trace_an': 12}
  • id: 43128129
    {'hecke_orbit_code': 22517998170415237, 'n': 99, 'trace_an': 0}
  • id: 43128130
    {'hecke_orbit_code': 22517998170415237, 'n': 100, 'trace_an': 0}