Embedded newform data - 4232.2.a.l.1.2

Formats: - HTML - YAML - JSON - 2026-07-19T04:30:10.736646

• 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': 16928, 'analytic_conductor': 33.792690135405856, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [23, -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': [4232, 1, [3175, 2117, 2121], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 8, 'field_disc_factorization': [[2, 3]], 'field_poly': [-2, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': True, 'field_poly_root_of_unity': 8, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[3, [2, 4, 1]], [5, [-1, 1]], [7, [-18, 0, 1]]], 'hecke_orbit': 12, 'hecke_orbit_code': 49539595934634120, 'hecke_ring_generator_nbound': 3, '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': '4232.2.a.l', 'level': 4232, 'level_is_powerful': True, '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, 23], 'level_radical': 46, 'minimal_twist': '4232.2.a.k', 'nf_label': '2.2.8.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(-2+\\beta )q^{3}+q^{5}+3\\beta q^{7}+(3-4\\beta )q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '4232.2.a', 'trace_display': [0, -4, 2, 0], 'trace_hash': 682244468220150527, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.953', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.322', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '61.283', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.029', 'prec': 17}, 'traces': [2, 0, -4, 0, 2, 0, 0, 0, 6, 0, 4, 0, 2, 0, -4, 0, -8, 0, -8, 0, 12, 0, 0, 0, -8, 0, -16, 0, 6, 0, -12, 0, -12, 0, 0, 0, 0, 0, 4, 0, -2, 0, 4, 0, 6, 0, -4, 0, 22, 0, 8, 0, -10, 0, 4, 0, 12, 0, -8, 0, -14, 0, -48, 0, 2, 0, 8, 0, 0, 0, 8, 0, -2, 0, 16, 0, -12, 0, 8, 0, 46, 0, -12, 0, -8, 0, -20, 0, 14, 0, 24, 0, 16, 0, -8, 0, 14, 0, 28, 0, 26, 0, 12, 0, 12, 0, 16, 0, -6, 0, -16, 0, -10, 0, 0, 0, -26, 0, -24, 0, -10, 0, -4, 0, -18, 0, 4, 0, -32, 0, -32, 0, -12, 0, -16, 0, 26, 0, -4, 0, 20, 0, -4, 0, 6, 0, -44, 0, 18, 0, -28, 0, 8, 0, -12, 0, 2, 0, 20, 0, 0, 0, 0, 0, -12, 0, 4, 0, -8, 0, -8, 0, -2, 0, 0, 0, -4, 0, -28, 0, 0, 0, 20, 0, 0, 0, -8, 0, 96, 0, -20, 0, -2, 0, 4, 0, -2, 0, 4, 0, 0, 0, -24, 0, -2, 0, 0, 0, -12, 0, 4, 0, -36, 0, 4, 0, -24, 0, -20, 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2, 0, 20, 0, 48, 0, 40, 0, -18, 0, 168, 0, 56, 0, 64, 0, -276, 0, -64, 0, -14, 0, -48, 0, -168, 0, -16, 0, 32, 0, -56, 0, -40, 0, 0, 0, 56, 0, 44, 0, 64, 0, -68, 0, 96, 0, -40, 0, -50, 0, -16, 0, -312, 0, -104, 0, 66, 0, -8, 0, 4, 0, 104, 0, -36, 0, -72, 0, 24, 0, -80, 0, 94, 0, 96, 0, -80, 0, 20, 0, 0, 0, 104, 0, 128, 0, -20, 0, -10, 0, -40, 0, 70, 0, -264, 0, -50, 0, -16, 0, -156, 0, -84, 0, 60, 0, 52, 0, -96, 0, 4, 0, 76, 0, -56, 0, -44, 0, 64, 0, -74, 0, 96, 0, -160, 0, 0, 0, -38, 0, 200, 0, -30, 0, -104, 0, 132, 0, -44, 0, 30, 0, -64, 0, 8, 0, -104, 0, 16, 0, 120, 0, -56, 0, -136, 0, -6, 0, -4, 0, -18, 0, -84, 0, -168, 0, 88, 0, 40, 0, -52, 0, 0, 0, -112, 0, 40, 0, -144, 0, 126, 0, -64, 0, -192, 0, -152, 0, 18, 0, 68, 0, -96, 0, -68, 0, -106, 0, 20, 0, 144, 0, -116, 0, 48, 0, -24, 0, 64, 0, 4, 0, 108, 0, 172, 0, 0, 0, 0, 0, 108, 0, 168, 0, -80, 0, 44, 0, -12, 0, -48, 0, 96, 0, -88, 0, 76, 0, -4, 0, -48, 0, -52, 0, 84, 0, 32, 0, 24, 0, -72, 0, 130, 0, 32, 0, 100, 0, -20, 0, -58, 0, -168, 0, 0, 0, 128, 0, 104, 0, 44, 0, 46, 0, -12, 0, 48, 0, -24, 0, -84, 0, -48, 0, -88, 0, 176, 0, 56, 0, -96, 0, 48, 0, -8, 0, -102, 0, -36, 0, 176, 0, -96, 0, 204, 0, 40, 0, -40, 0, 0, 0, 114, 0, -12, 0, -16, 0, 96, 0, 56, 0, 36, 0, -60, 0, 24, 0, -76, 0, 52, 0, -154, 0, 52, 0, 50, 0, -8, 0, 192, 0, 4, 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], [0.0, 0.0], [-0.3382039574515255, 0.0], [0.0, 0.0], [0.4472135954999579, 0.0], [0.0, 0.0], [1.6035674514745464, 0.0], [0.0, 0.0], [-0.8856180831641267, 0.0], [0.0, 0.0], [0.17662125644430637, 0.0], [0.0, 0.0], [1.0618146386653506, 0.0], [0.0, 0.0], [-0.1512494078242115, 0.0], [0.0, 0.0], [-1.6561368407153672, 0.0], [0.0, 0.0], [-1.242105777743772, 0.0], [0.0, 0.0], [-0.5423328581291487, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.8, 0.0], [0.0, 0.0], [0.6377234979682673, 0.0], [0.0, 0.0], [0.031860283092265365, 0.0], [0.0, 0.0], [-1.5856323201614113, 0.0], [0.0, 0.0], [-0.05973400789952517, 0.0], [0.0, 0.0], [0.7171371656006362, 0.0], [0.0, 0.0], [-0.9299811099505543, 0.0], [0.0, 0.0], [-0.35910991287658317, 0.0], [0.0, 0.0], [-0.5978998661879923, 0.0], [0.0, 0.0], [-0.9889961377760517, 0.0], [0.0, 0.0], [-0.3960604472116099, 0.0], [0.0, 0.0], [0.32712276475948693, 0.0], [0.0, 0.0], [1.5714285714285714, 0.0], [0.0, 0.0], [0.5601120336112039, 0.0], [0.0, 0.0], [-0.6868028197434451, 0.0], [0.0, 0.0], [0.07898742713617837, 0.0], [0.0, 0.0], [0.4200850896063487, 0.0], [0.0, 0.0], [-1.4413302618216188, 0.0], [0.0, 0.0], [-1.258401143700346, 0.0], [0.0, 0.0], [-1.4201483325992714, 0.0], [0.0, 0.0], [0.47485794231202016, 0.0], [0.0, 0.0], [1.179772517890309, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.36446869501914775, 0.0], [0.0, 0.0], [-1.110168213518972, 0.0], [0.0, 0.0], [0.2705631659612204, 0.0], [0.0, 0.0], [0.28322409807262866, 0.0], [0.0, 0.0], [-0.8228564943107585, 0.0], [0.0, 0.0], [0.6699374723914289, 0.0], [0.0, 0.0], [-0.34812534965560893, 0.0], [0.0, 0.0], [-0.7406469111762605, 0.0], [0.0, 0.0], [-0.010775273827330073, 0.0], [0.0, 0.0], [0.741998516004452, 0.0], [0.0, 0.0], [1.7026913940629627, 0.0], [0.0, 0.0], [0.5362671257416336, 0.0], [0.0, 0.0], [-0.555486590856064, 0.0], [0.0, 0.0], [1.5722921059348192, 0.0], [0.0, 0.0], [-0.15641897857824627, 0.0], [0.0, 0.0]], 'angles': [None, -0.2770433619923482, -0.21410842671782343, -0.101942292223583, -0.23592659387193185, -0.16092561317292436, -0.40528007319148096, -0.35664739674463986, None, -0.2474645319836976, -0.39569297326724057, -0.32697114107017344, -0.2983181794264797, -0.3323240496613688, -0.22385090989393863, -0.3057895621986739, -0.3780817283663786, -0.3583087965942546, -0.14958628553708858, -0.27916647599207434, -0.34365696678027974, -0.3174849630005357, -0.27784476722004964, -0.1895076185740962, -0.10603667018625577, -0.060672290271947926, -0.22502937267366485, -0.08359418714396254, -0.229694040584104, -0.24508199410336654, -0.2964515880498754, -0.335848427168946, -0.13182207111928343, -0.20565491484263027, -0.051581572246854335, -0.33556769636401085, -0.31750828009868476, -0.1866358385507652, -0.18351602731861094, -0.14616442323568296, -0.4088148231705246, -0.266760960711006, -0.2587261571483686, -0.27199964914890584, -0.3406775252170461, -0.39270749255893755, -0.26229818102171815, -0.32209485394693615, -0.32895580459888063, -0.21115542397651757, -0.03047935750826784, -0.3424703736023121, -0.24663269054247963, -0.3094168149369322, -0.05059649411280292, -0.04631152830472123, -0.38062539763334524, -0.3680516465597959, -0.2532816302449622, -0.1562425280935952, -0.21581337975347956, -0.28739807938448825, -0.3461146566331449, -0.16528604234431246, -0.2635101732934051, -0.1374062365954106, -0.33481147492971464, -0.2053231998136943, -0.42847272226543703, -0.21353724011566766, -0.2747862675324033, -0.16938146287286093, -0.09701329177307452, -0.16434556511790505, -0.3862916573300717, -0.30734229055611395, -0.35658113463307123, -0.28089172182130034, -0.24546064120889383, -0.3454455450561078, -0.2435570307461715, -0.2864395276979842, -0.26761376616405813, -0.2986117283262128, -0.24055529558437383, -0.21260856395167083, -0.2910077677078089, -0.21809080958321916, -0.3340039450396393, -0.3079033110356536, -0.23165577892222247, -0.3329679770036075, -0.18623709527816848, -0.29311015865014767, -0.15974219262889164, -0.18333979157105554, -0.1359957102322207, -0.30624424917207743, -0.1956637865995634, -0.3645144930703281], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': 1.4142135623730951, 'hecke_orbit': 12, 'hecke_orbit_code': 49539595934634120, 'label': '4232.2.a.l.1.2', 'level': 4232, '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': [27, 36, 33, 30], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [23, 24, 24, 24], 'ALdims_old': [94, 96, 99, 90], 'Nk2': 16928, 'analytic_conductor': 33.792690135405856, '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': [4232, 1, [3175, 2117, 2121], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 505, 'dim': 126, 'eis_dim': 95, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 5, 7], 'hecke_orbit_code': 33558664, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 6, 8, 12, 15, 15, 15, 15], 'label': '4232.2.a', 'level': 4232, 'level_is_powerful': True, '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, 23], 'level_radical': 46, 'mf_dim': 600, 'mf_new_dim': 126, 'num_forms': 28, 'plus_dim': 57, 'prim_orbit_index': 1, 'relative_dim': 126, 'sturm_bound': 1104, 'trace_bound': 7, 'trace_display': [0, 0, 2, 0], 'traces': [126, 0, 0, 0, 2, 0, 0, 0, 130, 0, -2, 0, 0, 0, -4, 0, 4, 0, -2, 0, 4, 0, 0, 0, 134, 0, -12, 0, -12, 0, 12, 0, 12, 0, 0, 0, 18, 0, 28, 0, -4, 0, 10, 0, -18, 0, 0, 0, 134, 0, -4, 0, 6, 0, -20, 0, 0, 0, 0, 0, 26, 0, 20, 0, -16, 0, -6, 0, 0, 0, 0, 0, 28, 0, 24, 0, -24, 0, -4, 0, 126, 0, -14, 0, -12, 0, -28, 0, -12, 0, 36, 0, -28, 0, 12, 0, 12, 0, -14, 0, 4, 0, -36, 0, 8, 0, -42, 0, -6, 0, -12, 0, 16, 0, 0, 0, 12, 0, -60, 0, 106, 0, 28, 0, 36, 0, 16, 0, 32, 0, 8, 0, 8, 0, 44, 0, -48, 0, 60, 0, 4, 0, -16, 0, 8, 0, 16, 0, 14, 0, -8, 0, 56, 0, -12, 0, -10, 0, 8, 0, 0, 0, -8, 0, 72, 0, 52, 0, 94, 0, -74, 0, 16, 0, -16, 0, -40, 0, 4, 0, -42, 0, 48, 0, -24, 0, -12, 0, 28, 0, -24, 0, 20, 0, 28, 0, 36, 0, -56, 0, -44, 0, 60, 0, -8, 0, 0, 0, 0, 0, -24, 0, -28, 0, 72, 0, 36, 0, -20, 0, 12, 0, 64, 0, 186, 0, -2, 0, -54, 0, 20, 0, -20, 0, -44, 0, 0, 0, -8, 0, 36, 0, 4, 0, 34, 0, 68, 0, 20, 0, -54, 0, 0, 0, 4, 0, 56, 0, 28, 0, -40, 0, -24, 0, 0, 0, -112, 0, -72, 0, -36, 0, -68, 0, 74, 0, -36, 0, 12, 0, 40, 0, 14, 0, 0, 0, -60, 0, 110, 0, -68, 0, -42, 0, -40, 0, 20, 0, 0, 0, -16, 0, -120, 0, -72, 0, 28, 0, 12, 0, 20, 0, 24, 0, -48, 0, 68, 0, 64, 0, -40, 0, 100, 0, 16, 0, -8, 0, 52, 0, 76, 0, 54, 0, -52, 0, 60, 0, -36, 0, -4, 0, 0, 0, 0, 0, -28, 0, 44, 0, 64, 0, -88, 0, -92, 0, -32, 0, 36, 0, 74, 0, 32, 0, -32, 0, 32, 0, -56, 0, -12, 0, 2, 0, -24, 0, 4, 0, 38, 0, -52, 0, -24, 0, -16, 0, 98, 0, 42, 0, 0, 0, 52, 0, -8, 0, -60, 0, 44, 0, 76, 0, -12, 0, 34, 0, 108, 0, -12, 0, 40, 0, -32, 0, 20, 0, 36, 0, -58, 0, 58, 0, -100, 0, 20, 0, -16, 0, 68, 0, 84, 0, -12, 0, -28, 0, 0, 0, -4, 0, 230, 0, 16, 0, -52, 0, -32, 0, 28, 0, -128, 0, 0, 0, -76, 0, -44, 0, 108, 0, -16, 0, 12, 0, 4, 0, -18, 0, 20, 0, -48, 0, 84, 0, -70, 0, -18, 0, -44, 0, -56, 0, 0, 0, 32, 0, -96, 0, 12, 0, 32, 0, 92, 0, -28, 0, 4, 0, -24, 0, -44, 0, 44, 0, -84, 0, 80, 0, -76, 0, 12, 0, -64, 0, 112, 0, -36, 0, 28, 0, -8, 0, -70, 0, -4, 0, 4, 0, 0, 0, 20, 0, -192, 0, 28, 0, 0, 0, -34, 0, 0, 0, 52, 0, -300, 0, 44, 0, -38, 0, -52, 0, -40, 0, -76, 0, 18, 0, -20, 0, -8, 0, -38, 0, -248, 0, -16, 0, -12, 0, 50, 0, 28, 0, 0, 0, -8, 0, 20, 0, -72, 0, 52, 0, -20, 0, 40, 0, 80, 0, 176, 0, -220, 0, 16, 0, -68, 0, -92, 0, 44, 0, -26, 0, -22, 0, -96, 0, 36, 0, -44, 0, 54, 0, 92, 0, -28, 0, -6, 0, 0, 0, -48, 0, 118, 0, 44, 0, -332, 0, 72, 0, -28, 0, -20, 0, -32, 0, -108, 0, 88, 0, 102, 0, -88, 0, 100, 0, 8, 0, -12, 0, -60, 0, -116, 0, -40, 0, -46, 0, -30, 0, -148, 0, 96, 0, 0, 0, -40, 0, -112, 0, -288, 0, 16, 0, -10, 0, 16, 0, 60, 0, -116, 0, 32, 0, 104, 0, 36, 0, 100, 0, 44, 0, 20, 0, 36, 0, -4, 0, 22, 0, 100, 0, 84, 0, -48, 0, 2, 0, 92, 0, 0, 0, 24, 0, -12, 0, 72, 0, 48, 0, -92, 0, -288, 0, 96, 0, 190, 0, 32, 0, -54, 0, -20, 0, 20, 0, -56, 0, 80, 0, -28, 0, -8, 0, 142, 0, 44, 0, -24, 0, 36, 0, 116, 0, -18, 0, 0, 0, -64, 0, 64, 0, 44, 0, 72, 0, 52, 0, 12, 0, -46, 0, 132, 0, -64, 0, -140, 0, -4, 0, -116, 0, -380, 0, -14, 0, 32, 0, -52, 0, -92, 0, 20, 0, -14, 0, 116, 0, -36, 0, -136, 0, 0, 0, 36, 0, 32, 0, -36, 0, 8, 0, 84, 0, 72, 0, -160, 0, 40, 0, -52, 0, -60, 0, -42, 0, -4, 0, 68, 0, -28, 0, 64, 0, 16, 0, -84, 0, 142, 0, 20, 0, 130, 0, -160, 0, -68, 0, 0, 0, -216, 0, -84, 0, -60, 0, -40, 0, 60, 0, -52, 0, 60, 0, -128, 0, -80, 0, 32, 0, -32, 0, 68, 0, 16, 0, 48, 0, 24, 0, 12, 0, -32, 0, -108, 0, -36, 0, -34, 0, -128, 0, 52, 0, 0, 0, -20, 0, 0, 0, -40, 0, -56, 0, -78, 0, -20, 0, 196, 0, 0, 0, 92, 0, 84, 0, -48, 0, -40, 0, 32, 0, -34, 0, -24, 0, -320, 0, 158, 0, -4, 0, 112, 0, -16, 0, 112, 0, -22, 0, 0, 0, -12, 0, 92, 0, 36, 0, -124, 0, -120, 0, 28, 0, -4, 0, 116, 0, 174, 0, -58, 0, 16, 0, -76, 0, 76, 0, -46, 0, -148, 0, -172, 0, 68, 0, 28, 0, -46, 0, 4, 0, 88, 0, 36, 0, 0, 0, -24, 0, -80, 0, -32, 0, 120, 0, 116, 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: 47291126
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 49539595934634120, 'source_is_minimal': True, 'source_label': '4232.2.a.l.1.2', 'source_level': 4232, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 49539595934634120, 'target_is_minimal': True, 'target_label': '4232.2.a.l.1.2', 'target_level': 4232, 'twist_class_label': '4232.2.a.k.1.2', 'twist_class_level': 4232, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 47291127
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 49539595934634120, 'source_is_minimal': True, 'source_label': '4232.2.a.l.1.2', 'source_level': 4232, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 157625986991530256, 'target_is_minimal': False, 'target_label': '8464.2.a.bj.1.1', 'target_level': 8464, 'twist_class_label': '4232.2.a.k.1.2', 'twist_class_level': 4232, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 47291128
    {'conductor': 23, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 49539595934634120, 'source_is_minimal': True, 'source_label': '4232.2.a.l.1.2', 'source_level': 4232, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 45035996307263624, 'target_is_minimal': True, 'target_label': '4232.2.a.k.1.2', 'target_level': 4232, 'twist_class_label': '4232.2.a.k.1.2', 'twist_class_level': 4232, 'twisting_char_label': '23.22', 'twisting_conrey_index': 22, 'weight': 2}
  • id: 47291129
    {'conductor': 92, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 49539595934634120, 'source_is_minimal': True, 'source_label': '4232.2.a.l.1.2', 'source_level': 4232, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 144115188109418768, 'target_is_minimal': False, 'target_label': '8464.2.a.bg.1.1', 'target_level': 8464, 'twist_class_label': '4232.2.a.k.1.2', 'twist_class_level': 4232, 'twisting_char_label': '92.91', 'twisting_conrey_index': 91, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3535575
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 49539595934634120, 'p': 2}
  • id: 3535576
    {'charpoly_factorization': [[[2, 4, 1], 1]], 'hecke_orbit_code': 49539595934634120, 'p': 3}
  • id: 3535577
    {'charpoly_factorization': [[[-1, 1], 2]], 'hecke_orbit_code': 49539595934634120, 'p': 5}
  • id: 3535578
    {'charpoly_factorization': [[[-18, 0, 1], 1]], 'hecke_orbit_code': 49539595934634120, 'p': 7}
  • id: 3535579
    {'charpoly_factorization': [[[2, -4, 1], 1]], 'hecke_orbit_code': 49539595934634120, 'p': 11}
  • id: 3535580
    {'charpoly_factorization': [[[-7, -2, 1], 1]], 'hecke_orbit_code': 49539595934634120, 'p': 13}
  • id: 3535581
    {'charpoly_factorization': [[[8, 8, 1], 1]], 'hecke_orbit_code': 49539595934634120, 'p': 17}
  • id: 3535582
    {'charpoly_factorization': [[[14, 8, 1], 1]], 'hecke_orbit_code': 49539595934634120, 'p': 19}
  • id: 3535583
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 49539595934634120, 'p': 23}
  • id: 3535584
    {'charpoly_factorization': [[[1, -6, 1], 1]], 'hecke_orbit_code': 49539595934634120, 'p': 29}
  • id: 3535585
    {'charpoly_factorization': [[[28, 12, 1], 1]], 'hecke_orbit_code': 49539595934634120, 'p': 31}
  • id: 3535586
    {'charpoly_factorization': [[[-32, 0, 1], 1]], 'hecke_orbit_code': 49539595934634120, 'p': 37}
  • id: 3535587
    {'charpoly_factorization': [[[-7, 2, 1], 1]], 'hecke_orbit_code': 49539595934634120, 'p': 41}
  • id: 3535588
    {'charpoly_factorization': [[[-68, -4, 1], 1]], 'hecke_orbit_code': 49539595934634120, 'p': 43}
  • id: 3535589
    {'charpoly_factorization': [[[-14, 4, 1], 1]], 'hecke_orbit_code': 49539595934634120, 'p': 47}
  • id: 3535590
    {'charpoly_factorization': [[[5, 1], 2]], 'hecke_orbit_code': 49539595934634120, 'p': 53}
  • id: 3535591
    {'charpoly_factorization': [[[-34, 8, 1], 1]], 'hecke_orbit_code': 49539595934634120, 'p': 59}
  • id: 3535592
    {'charpoly_factorization': [[[41, 14, 1], 1]], 'hecke_orbit_code': 49539595934634120, 'p': 61}
  • id: 3535593
    {'charpoly_factorization': [[[-16, -8, 1], 1]], 'hecke_orbit_code': 49539595934634120, 'p': 67}
  • id: 3535594
    {'charpoly_factorization': [[[-34, -8, 1], 1]], 'hecke_orbit_code': 49539595934634120, 'p': 71}
  • id: 3535595
    {'charpoly_factorization': [[[-71, 2, 1], 1]], 'hecke_orbit_code': 49539595934634120, 'p': 73}
  • id: 3535596
    {'charpoly_factorization': [[[-112, -8, 1], 1]], 'hecke_orbit_code': 49539595934634120, 'p': 79}
  • id: 3535597
    {'charpoly_factorization': [[[28, 12, 1], 1]], 'hecke_orbit_code': 49539595934634120, 'p': 83}
  • id: 3535598
    {'charpoly_factorization': [[[-7, 1], 2]], 'hecke_orbit_code': 49539595934634120, 'p': 89}
  • id: 3535599
    {'charpoly_factorization': [[[-23, -14, 1], 1]], 'hecke_orbit_code': 49539595934634120, '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': 12, 'label': '4232.2.a.l', 'level': 4232, '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: 55980301
    {'hecke_orbit_code': 49539595934634120, 'n': 1, 'trace_an': 2}
  • id: 55980302
    {'hecke_orbit_code': 49539595934634120, 'n': 2, 'trace_an': 0}
  • id: 55980303
    {'hecke_orbit_code': 49539595934634120, 'n': 3, 'trace_an': -4}
  • id: 55980304
    {'hecke_orbit_code': 49539595934634120, 'n': 4, 'trace_an': 0}
  • id: 55980305
    {'hecke_orbit_code': 49539595934634120, 'n': 5, 'trace_an': 2}
  • id: 55980306
    {'hecke_orbit_code': 49539595934634120, 'n': 6, 'trace_an': 0}
  • id: 55980307
    {'hecke_orbit_code': 49539595934634120, 'n': 7, 'trace_an': 0}
  • id: 55980308
    {'hecke_orbit_code': 49539595934634120, 'n': 8, 'trace_an': 0}
  • id: 55980309
    {'hecke_orbit_code': 49539595934634120, 'n': 9, 'trace_an': 6}
  • id: 55980310
    {'hecke_orbit_code': 49539595934634120, 'n': 10, 'trace_an': 0}
  • id: 55980311
    {'hecke_orbit_code': 49539595934634120, 'n': 11, 'trace_an': 4}
  • id: 55980312
    {'hecke_orbit_code': 49539595934634120, 'n': 12, 'trace_an': 0}
  • id: 55980313
    {'hecke_orbit_code': 49539595934634120, 'n': 13, 'trace_an': 2}
  • id: 55980314
    {'hecke_orbit_code': 49539595934634120, 'n': 14, 'trace_an': 0}
  • id: 55980315
    {'hecke_orbit_code': 49539595934634120, 'n': 15, 'trace_an': -4}
  • id: 55980316
    {'hecke_orbit_code': 49539595934634120, 'n': 16, 'trace_an': 0}
  • id: 55980317
    {'hecke_orbit_code': 49539595934634120, 'n': 17, 'trace_an': -8}
  • id: 55980318
    {'hecke_orbit_code': 49539595934634120, 'n': 18, 'trace_an': 0}
  • id: 55980319
    {'hecke_orbit_code': 49539595934634120, 'n': 19, 'trace_an': -8}
  • id: 55980320
    {'hecke_orbit_code': 49539595934634120, 'n': 20, 'trace_an': 0}
  • id: 55980321
    {'hecke_orbit_code': 49539595934634120, 'n': 21, 'trace_an': 12}
  • id: 55980322
    {'hecke_orbit_code': 49539595934634120, 'n': 22, 'trace_an': 0}
  • id: 55980323
    {'hecke_orbit_code': 49539595934634120, 'n': 23, 'trace_an': 0}
  • id: 55980324
    {'hecke_orbit_code': 49539595934634120, 'n': 24, 'trace_an': 0}
  • id: 55980325
    {'hecke_orbit_code': 49539595934634120, 'n': 25, 'trace_an': -8}
  • id: 55980326
    {'hecke_orbit_code': 49539595934634120, 'n': 26, 'trace_an': 0}
  • id: 55980327
    {'hecke_orbit_code': 49539595934634120, 'n': 27, 'trace_an': -16}
  • id: 55980328
    {'hecke_orbit_code': 49539595934634120, 'n': 28, 'trace_an': 0}
  • id: 55980329
    {'hecke_orbit_code': 49539595934634120, 'n': 29, 'trace_an': 6}
  • id: 55980330
    {'hecke_orbit_code': 49539595934634120, 'n': 30, 'trace_an': 0}
  • id: 55980331
    {'hecke_orbit_code': 49539595934634120, 'n': 31, 'trace_an': -12}
  • id: 55980332
    {'hecke_orbit_code': 49539595934634120, 'n': 32, 'trace_an': 0}
  • id: 55980333
    {'hecke_orbit_code': 49539595934634120, 'n': 33, 'trace_an': -12}
  • id: 55980334
    {'hecke_orbit_code': 49539595934634120, 'n': 34, 'trace_an': 0}
  • id: 55980335
    {'hecke_orbit_code': 49539595934634120, 'n': 35, 'trace_an': 0}
  • id: 55980336
    {'hecke_orbit_code': 49539595934634120, 'n': 36, 'trace_an': 0}
  • id: 55980337
    {'hecke_orbit_code': 49539595934634120, 'n': 37, 'trace_an': 0}
  • id: 55980338
    {'hecke_orbit_code': 49539595934634120, 'n': 38, 'trace_an': 0}
  • id: 55980339
    {'hecke_orbit_code': 49539595934634120, 'n': 39, 'trace_an': 4}
  • id: 55980340
    {'hecke_orbit_code': 49539595934634120, 'n': 40, 'trace_an': 0}
  • id: 55980341
    {'hecke_orbit_code': 49539595934634120, 'n': 41, 'trace_an': -2}
  • id: 55980342
    {'hecke_orbit_code': 49539595934634120, 'n': 42, 'trace_an': 0}
  • id: 55980343
    {'hecke_orbit_code': 49539595934634120, 'n': 43, 'trace_an': 4}
  • id: 55980344
    {'hecke_orbit_code': 49539595934634120, 'n': 44, 'trace_an': 0}
  • id: 55980345
    {'hecke_orbit_code': 49539595934634120, 'n': 45, 'trace_an': 6}
  • id: 55980346
    {'hecke_orbit_code': 49539595934634120, 'n': 46, 'trace_an': 0}
  • id: 55980347
    {'hecke_orbit_code': 49539595934634120, 'n': 47, 'trace_an': -4}
  • id: 55980348
    {'hecke_orbit_code': 49539595934634120, 'n': 48, 'trace_an': 0}
  • id: 55980349
    {'hecke_orbit_code': 49539595934634120, 'n': 49, 'trace_an': 22}
  • id: 55980350
    {'hecke_orbit_code': 49539595934634120, 'n': 50, 'trace_an': 0}
  • id: 55980351
    {'hecke_orbit_code': 49539595934634120, 'n': 51, 'trace_an': 8}
  • id: 55980352
    {'hecke_orbit_code': 49539595934634120, 'n': 52, 'trace_an': 0}
  • id: 55980353
    {'hecke_orbit_code': 49539595934634120, 'n': 53, 'trace_an': -10}
  • id: 55980354
    {'hecke_orbit_code': 49539595934634120, 'n': 54, 'trace_an': 0}
  • id: 55980355
    {'hecke_orbit_code': 49539595934634120, 'n': 55, 'trace_an': 4}
  • id: 55980356
    {'hecke_orbit_code': 49539595934634120, 'n': 56, 'trace_an': 0}
  • id: 55980357
    {'hecke_orbit_code': 49539595934634120, 'n': 57, 'trace_an': 12}
  • id: 55980358
    {'hecke_orbit_code': 49539595934634120, 'n': 58, 'trace_an': 0}
  • id: 55980359
    {'hecke_orbit_code': 49539595934634120, 'n': 59, 'trace_an': -8}
  • id: 55980360
    {'hecke_orbit_code': 49539595934634120, 'n': 60, 'trace_an': 0}
  • id: 55980361
    {'hecke_orbit_code': 49539595934634120, 'n': 61, 'trace_an': -14}
  • id: 55980362
    {'hecke_orbit_code': 49539595934634120, 'n': 62, 'trace_an': 0}
  • id: 55980363
    {'hecke_orbit_code': 49539595934634120, 'n': 63, 'trace_an': -48}
  • id: 55980364
    {'hecke_orbit_code': 49539595934634120, 'n': 64, 'trace_an': 0}
  • id: 55980365
    {'hecke_orbit_code': 49539595934634120, 'n': 65, 'trace_an': 2}
  • id: 55980366
    {'hecke_orbit_code': 49539595934634120, 'n': 66, 'trace_an': 0}
  • id: 55980367
    {'hecke_orbit_code': 49539595934634120, 'n': 67, 'trace_an': 8}
  • id: 55980368
    {'hecke_orbit_code': 49539595934634120, 'n': 68, 'trace_an': 0}
  • id: 55980369
    {'hecke_orbit_code': 49539595934634120, 'n': 69, 'trace_an': 0}
  • id: 55980370
    {'hecke_orbit_code': 49539595934634120, 'n': 70, 'trace_an': 0}
  • id: 55980371
    {'hecke_orbit_code': 49539595934634120, 'n': 71, 'trace_an': 8}
  • id: 55980372
    {'hecke_orbit_code': 49539595934634120, 'n': 72, 'trace_an': 0}
  • id: 55980373
    {'hecke_orbit_code': 49539595934634120, 'n': 73, 'trace_an': -2}
  • id: 55980374
    {'hecke_orbit_code': 49539595934634120, 'n': 74, 'trace_an': 0}
  • id: 55980375
    {'hecke_orbit_code': 49539595934634120, 'n': 75, 'trace_an': 16}
  • id: 55980376
    {'hecke_orbit_code': 49539595934634120, 'n': 76, 'trace_an': 0}
  • id: 55980377
    {'hecke_orbit_code': 49539595934634120, 'n': 77, 'trace_an': -12}
  • id: 55980378
    {'hecke_orbit_code': 49539595934634120, 'n': 78, 'trace_an': 0}
  • id: 55980379
    {'hecke_orbit_code': 49539595934634120, 'n': 79, 'trace_an': 8}
  • id: 55980380
    {'hecke_orbit_code': 49539595934634120, 'n': 80, 'trace_an': 0}
  • id: 55980381
    {'hecke_orbit_code': 49539595934634120, 'n': 81, 'trace_an': 46}
  • id: 55980382
    {'hecke_orbit_code': 49539595934634120, 'n': 82, 'trace_an': 0}
  • id: 55980383
    {'hecke_orbit_code': 49539595934634120, 'n': 83, 'trace_an': -12}
  • id: 55980384
    {'hecke_orbit_code': 49539595934634120, 'n': 84, 'trace_an': 0}
  • id: 55980385
    {'hecke_orbit_code': 49539595934634120, 'n': 85, 'trace_an': -8}
  • id: 55980386
    {'hecke_orbit_code': 49539595934634120, 'n': 86, 'trace_an': 0}
  • id: 55980387
    {'hecke_orbit_code': 49539595934634120, 'n': 87, 'trace_an': -20}
  • id: 55980388
    {'hecke_orbit_code': 49539595934634120, 'n': 88, 'trace_an': 0}
  • id: 55980389
    {'hecke_orbit_code': 49539595934634120, 'n': 89, 'trace_an': 14}
  • id: 55980390
    {'hecke_orbit_code': 49539595934634120, 'n': 90, 'trace_an': 0}
  • id: 55980391
    {'hecke_orbit_code': 49539595934634120, 'n': 91, 'trace_an': 24}
  • id: 55980392
    {'hecke_orbit_code': 49539595934634120, 'n': 92, 'trace_an': 0}
  • id: 55980393
    {'hecke_orbit_code': 49539595934634120, 'n': 93, 'trace_an': 16}
  • id: 55980394
    {'hecke_orbit_code': 49539595934634120, 'n': 94, 'trace_an': 0}
  • id: 55980395
    {'hecke_orbit_code': 49539595934634120, 'n': 95, 'trace_an': -8}
  • id: 55980396
    {'hecke_orbit_code': 49539595934634120, 'n': 96, 'trace_an': 0}
  • id: 55980397
    {'hecke_orbit_code': 49539595934634120, 'n': 97, 'trace_an': 14}
  • id: 55980398
    {'hecke_orbit_code': 49539595934634120, 'n': 98, 'trace_an': 0}
  • id: 55980399
    {'hecke_orbit_code': 49539595934634120, 'n': 99, 'trace_an': 28}
  • id: 55980400
    {'hecke_orbit_code': 49539595934634120, 'n': 100, 'trace_an': 0}