Newform data - 3344.2.a.c

Formats: - HTML - YAML - JSON - 2026-07-16T19:56:07.582449

• 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': 13376, 'analytic_conductor': 26.70197443591616, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [11, -1], [19, -1]], 'atkin_lehner_string': '+--', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [3344, 1, [2927, 837, 2433, 705], [1, 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': [[3, [1, 1]], [5, [3, 1]], [7, [2, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007199288298768, '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': False, 'label': '3344.2.a.c', 'level': 3344, '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, 11, 19], 'level_radical': 418, 'minimal_twist': '1672.2.a.b', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-q^{3}-3q^{5}-2q^{7}-2q^{9}+q^{11}+\\cdots', 'related_objects': ['EllipticCurve/Q/3344/c'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3344.2.a', 'trace_display': [0, -1, -3, -2], 'trace_hash': 1065116878225399124, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.021', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.061', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.241', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.017', 'prec': 17}, 'traces': [1, 0, -1, 0, -3, 0, -2, 0, -2, 0, 1, 0, 4, 0, 3, 0, -2, 0, 1, 0, 2, 0, 7, 0, 4, 0, 5, 0, 4, 0, 3, 0, -1, 0, 6, 0, -5, 0, -4, 0, 4, 0, 2, 0, 6, 0, 0, 0, -3, 0, 2, 0, -14, 0, -3, 0, -1, 0, 5, 0, -8, 0, 4, 0, -12, 0, -7, 0, -7, 0, 9, 0, 8, 0, -4, 0, -2, 0, -6, 0, 1, 0, -2, 0, 6, 0, -4, 0, -13, 0, -8, 0, -3, 0, -3, 0, -11, 0, -2, 0, -14, 0, 16, 0, -6, 0, 6, 0, 2, 0, 5, 0, 13, 0, -21, 0, -8, 0, 4, 0, 1, 0, -4, 0, 3, 0, -8, 0, -2, 0, -6, 0, -2, 0, -15, 0, -15, 0, -14, 0, 0, 0, 4, 0, -12, 0, 3, 0, 10, 0, -6, 0, 4, 0, -9, 0, 5, 0, 14, 0, -14, 0, -20, 0, 3, 0, 12, 0, 3, 0, -2, 0, 6, 0, -8, 0, -5, 0, -23, 0, -17, 0, 8, 0, 15, 0, -2, 0, -10, 0, 17, 0, -12, 0, 12, 0, 18, 0, 0, 0, 7, 0, -8, 0, -12, 0, -14, 0, 1, 0, 0, 0, -9, 0, -6, 0, -6, 0, -8, 0, 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-74, 0, 20, 0, 38, 0, 8, 0, -70, 0, 14, 0, 68, 0, -36, 0, -84, 0, 28, 0, 2, 0, 98, 0, 0, 0, -48, 0, -28, 0, -74, 0, -12, 0, 33, 0, -12, 0, 10, 0, -39, 0, 5, 0, 32, 0, -36, 0, 104, 0, -36, 0, 40, 0, 0, 0, 20, 0, 30, 0, 52, 0, 80, 0, 7, 0, 42, 0, 38, 0, 96, 0, 14, 0, 3, 0, -24, 0, -34, 0, 8, 0, -36, 0, 36, 0, -6, 0, 12, 0, 143, 0, -24, 0, -44, 0, 0, 0, 18, 0, 99, 0, -24, 0, 34, 0, 52, 0, 14, 0, -28, 0, 10, 0, -46, 0, 6, 0, -22, 0, -24, 0, -57, 0, 20, 0, 60, 0, -32, 0, 10, 0, 30, 0, 54, 0, 96, 0, -58, 0, 38, 0, -43, 0, 20, 0, 51, 0, 0, 0, -6, 0, -8, 0, -6, 0, 21, 0, -30, 0, -12, 0, -14, 0, 22, 0, 69, 0, -77, 0, 30, 0, -15, 0, 26, 0, -36, 0, -2, 0, -36, 0, 4, 0, 74, 0, -12, 0, 4, 0, -1, 0, 36, 0, -15, 0, 42, 0, 56, 0, -28, 0, -56, 0, 30, 0, -32, 0, 56, 0, -56, 0, -33, 0, 24, 0, -12, 0, 13, 0, 82, 0, -12, 0, 10, 0, -9, 0, -12, 0, -51, 0, -88, 0, -6, 0, 54, 0, -101, 0, -22, 0, 0, 0, 103, 0, -60, 0, -14, 0, -30, 0, -17, 0, 32, 0, 16, 0, 44, 0, 18, 0, 24, 0, 5, 0, 0, 0, 64, 0, 24, 0, -6, 0, 32, 0, -72, 0, -5, 0, 104, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
  {'an': [[1], [0], [-1], [0], [-3], [0], [-2], [0], [-2], [0], [1], [0], [4], [0], [3], [0], [-2], [0], [1], [0], [2], [0], [7], [0], [4], [0], [5], [0], [4], [0], [3], [0], [-1], [0], [6], [0], [-5], [0], [-4], [0], [4], [0], [2], [0], [6], [0], [0], [0], [-3], [0], [2], [0], [-14], [0], [-3], [0], [-1], [0], [5], [0], [-8], [0], [4], [0], [-12], [0], [-7], [0], [-7], [0], [9], [0], [8], [0], [-4], [0], [-2], [0], [-6], [0], [1], [0], [-2], [0], [6], [0], [-4], [0], [-13], [0], [-8], [0], [-3], [0], [-3], [0], [-11], [0], [-2], [0]], 'ap': [[0], [-1], [-3], [-2], [1], [4], [-2], [1], [7], [4], [3], [-5], [4], [2], [0], [-14], [5], [-8], [-7], [9], [8], [-6], [-2], [-13], [-11], [-14], [16], [6], [2], [13], [-8], [-6], [-15], [-14], [10], [-6], [5], [-20], [12], [6], [-23], [-17], [17], [-12], [18], [0], [0], [-9], [-22], [11], [20], [10], [-8], [5], [14], [26], [-22], [24], [22], [-2], [-16], [-8], [-16], [-4], [-9], [-27], [-9], [-14], [-28], [14], [3], [-8], [-1], [-22], [-13], [-13], [-19], [-26], [-6], [-10], [-12], [6], [-30], [25], [-12], [1], [-9], [-16], [36], [-43], [-39], [-12], [11], [36], [-12], [22], [39], [25], [20], [-8], [28], [-14], [0], [-20], [-32], [-23], [4], [20], [24], [2], [22], [4], [-6], [35], [-17], [-21], [33], [9], [-29], [-30], [-43], [-34], [18], [32], [5], [-50], [35], [-1], [-13], [0], [-18], [-24], [21], [-38], [-40], [0], [26], [32], [53], [12], [22], [-54], [-25], [12], [9], [23], [-2], [12], [-19], [0], [-40], [21], [36], [42], [-20], [36], [-10], [-38], [24], [-34], [57], [-38], [-4], [15], [33], [51], [-32], [6], [30], [19], [-50], [-58], [-28], [-44], [-23], [-31], [-34], [-33], [-32], [64], [32], [-42], [5], [38], [21], [18], [16], [40], [-54], [-6], [-11], [-6], [13], [6], [-48], [23], [-18], [-13], [-62], [-14], [-24], [-26], [34], [48], [-21], [-67], [-55], [68], [60], [-40], [-4], [7], [-9], [-12], [-6], [-13], [52], [0], [32], [3], [-56], [8], [69], [69], [-56], [58], [-10], [-32], [-72], [12], [-67], [-24], [-2], [36], [-19], [34], [-15], [-24], [43], [-63], [-9], [-16], [-4], [-7], [48], [12], [-52], [28], [-50], [-50], [24], [-42], [41], [-58], [-18], [-48], [-34], [-10], [9], [38], [28], [16], [10], [-66], [-58], [24], [-37], [21], [-18], [66], [49], [47], [50], [-60], [-24], [11], [75], [-46], [-24], [-28], [-76], [61], [64], [-2], [32], [21], [74], [22], [45], [78], [-31], [-36], [28], [-30], [10], [-44], [29], [3], [-18], [-22], [-14], [0], [-40], [36], [-73], [83], [-17], [-35], [-36], [60], [-84], [-2], [-90], [-23], [-32], [74], [63], [-90], [-78], [40], [12], [-47], [78], [49], [-46], [47], [43], [71], [-48], [-76], [-46], [-42], [62], [60], [-60], [33], [1], [-4], [39], [10], [45], [23], [16], [-1], [35], [-90], [-73], [-13], [12], [51], [28], [63], [30], [36], [-10], [-38], [-43], [-2], [66], [45], [-2], [42], [-17], [-62], [31], [57], [-24], [26], [-92], [37], [-48], [-94], [-48], [82], [9], [12], [-30], [-86], [38], [54], [46], [39], [62], [-10], [-24], [19], [-32], [45], [72], [-77], [1], [-9], [45], [43], [-5], [-36], [-74], [14], [68], [98], [-74], [33], [104], [30], [96], [14], [-34], [-36], [36], [99], [-46], [-22], [20], [30], [-58], [-43], [-12], [-77], [-2], [74], [-1], [56], [56], [82], [-6], [-101], [103], [-30], [-17], [104]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 9007199288298768, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '3344.2.a.c', 'level': 3344, 'maxp': 2999, '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': [10, 15, 12, 7, 14, 9, 9, 14], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [2, 3, 3, 3, 3, 3, 3, 3], 'ALdims_old': [43, 50, 50, 48, 51, 43, 46, 48], 'Nk2': 13376, 'analytic_conductor': 26.70197443591616, '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': [3344, 1, [2927, 837, 2433, 705], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 469, 'dim': 90, 'eis_dim': 23, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 5, 7], 'hecke_orbit_code': 33557776, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 3, 3, 3, 4, 5, 5, 6, 6, 6, 6, 6, 7, 9], 'label': '3344.2.a', 'level': 3344, '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, 11, 19], 'level_radical': 418, 'mf_dim': 492, 'mf_new_dim': 90, 'num_forms': 28, 'plus_dim': 35, 'prim_orbit_index': 1, 'relative_dim': 90, 'sturm_bound': 960, 'trace_bound': 7, 'trace_display': [0, 0, 4, 0], 'traces': [90, 0, 0, 0, 4, 0, 0, 0, 90, 0, -6, 0, 4, 0, -12, 0, -4, 0, 0, 0, 16, 0, 12, 0, 86, 0, 12, 0, 20, 0, 0, 0, 0, 0, 0, 0, 20, 0, 24, 0, -4, 0, 0, 0, 36, 0, 8, 0, 90, 0, 40, 0, 4, 0, 8, 0, 0, 0, 40, 0, 20, 0, 40, 0, -24, 0, 0, 0, 16, 0, 16, 0, -20, 0, -12, 0, 0, 0, 0, 0, 74, 0, 40, 0, 24, 0, 24, 0, -36, 0, 16, 0, -48, 0, 0, 0, -4, 0, -18, 0, -12, 0, -36, 0, 32, 0, 0, 0, 20, 0, 60, 0, 28, 0, 4, 0, -28, 0, 8, 0, 90, 0, 104, 0, 24, 0, 64, 0, 32, 0, -48, 0, 0, 0, 44, 0, -4, 0, 0, 0, -32, 0, 0, 0, -40, 0, 104, 0, 20, 0, -48, 0, 52, 0, 84, 0, 20, 0, 40, 0, 8, 0, 32, 0, 0, 0, 0, 0, 102, 0, 0, 0, -44, 0, 144, 0, 32, 0, -72, 0, 68, 0, 80, 0, 0, 0, -12, 0, -16, 0, 68, 0, 12, 0, 184, 0, -44, 0, -8, 0, -16, 0, 48, 0, 104, 0, 128, 0, 0, 0, 136, 0, -128, 0, 24, 0, 32, 0, 104, 0, 24, 0, 128, 0, 94, 0, 80, 0, 20, 0, 0, 0, 20, 0, 48, 0, -80, 0, -48, 0, 12, 0, 76, 0, 20, 0, 12, 0, 16, 0, -116, 0, 0, 0, 0, 0, -60, 0, 32, 0, 20, 0, 152, 0, -40, 0, -204, 0, -92, 0, -24, 0, 104, 0, -30, 0, 36, 0, -36, 0, -36, 0, -24, 0, 0, 0, -192, 0, 134, 0, -4, 0, 4, 0, -132, 0, -24, 0, 24, 0, 16, 0, 72, 0, -72, 0, 16, 0, -32, 0, 8, 0, 28, 0, 64, 0, 20, 0, 0, 0, -56, 0, -24, 0, 108, 0, 8, 0, 0, 0, -72, 0, 100, 0, 44, 0, 12, 0, -180, 0, -32, 0, -72, 0, -72, 0, 200, 0, 116, 0, -96, 0, 28, 0, -196, 0, -48, 0, -72, 0, 90, 0, 0, 0, 40, 0, 52, 0, -212, 0, 64, 0, 100, 0, 28, 0, -96, 0, -32, 0, 0, 0, 48, 0, 32, 0, 56, 0, 20, 0, -72, 0, -16, 0, -96, 0, 52, 0, 32, 0, -108, 0, 64, 0, 116, 0, 0, 0, 44, 0, 92, 0, -80, 0, 144, 0, -112, 0, -192, 0, 68, 0, -216, 0, -140, 0, 96, 0, 32, 0, -24, 0, 44, 0, -184, 0, 0, 0, -72, 0, -30, 0, -28, 0, -88, 0, -144, 0, -84, 0, 0, 0, -144, 0, 24, 0, 108, 0, 0, 0, 36, 0, 68, 0, 8, 0, -4, 0, -80, 0, -228, 0, 0, 0, 0, 0, -188, 0, -64, 0, -40, 0, -448, 0, -120, 0, 0, 0, -112, 0, -96, 0, -24, 0, 28, 0, -16, 0, 128, 0, -64, 0, -216, 0, -8, 0, -112, 0, 68, 0, 248, 0, 24, 0, 96, 0, 0, 0, -184, 0, 12, 0, 144, 0, -192, 0, 120, 0, 186, 0, -36, 0, 8, 0, -216, 0, -136, 0, -38, 0, 116, 0, -116, 0, -56, 0, 112, 0, 164, 0, 52, 0, 64, 0, -52, 0, -44, 0, 112, 0, 0, 0, -184, 0, -104, 0, 208, 0, 12, 0, -120, 0, 64, 0, -80, 0, -36, 0, 216, 0, 80, 0, -36, 0, -168, 0, -136, 0, 0, 0, -40, 0, -76, 0, 16, 0, -32, 0, -180, 0, -68, 0, -196, 0, 4, 0, 224, 0, -88, 0, 16, 0, -44, 0, -208, 0, -68, 0, -36, 0, 96, 0, -224, 0, 34, 0, -12, 0, 56, 0, -52, 0, 120, 0, 88, 0, -76, 0, 20, 0, 44, 0, 44, 0, -304, 0, 76, 0, 0, 0, -48, 0, 68, 0, -40, 0, -156, 0, -112, 0, -140, 0, -88, 0, 0, 0, 184, 0, 64, 0, 36, 0, -36, 0, 80, 0, 100, 0, 176, 0, 8, 0, -20, 0, -40, 0, 100, 0, 0, 0, -4, 0, 0, 0, 0, 0, -120, 0, -64, 0, -92, 0, 0, 0, -128, 0, -32, 0, 132, 0, 192, 0, -8, 0, 0, 0, -192, 0, 180, 0, -80, 0, -8, 0, 204, 0, 36, 0, -102, 0, -64, 0, -60, 0, -116, 0, 0, 0, -168, 0, 0, 0, -328, 0, -88, 0, 120, 0, 64, 0, -112, 0, -200, 0, 56, 0, -60, 0, -60, 0, -228, 0, 88, 0, -280, 0, -120, 0, 12, 0, 48, 0, -140, 0, -100, 0, -208, 0, -60, 0, 0, 0, 32, 0, -144, 0, -96, 0, -80, 0, -144, 0, -24, 0, -344, 0, -44, 0, 64, 0, -268, 0, -60, 0, -288, 0, -144, 0, -100, 0, -128, 0, -160, 0, 0, 0, 32, 0, 232, 0, -140, 0, 52, 0, -72, 0, 64, 0, 4, 0, 64, 0, -172, 0, -72, 0, -168, 0, -128, 0, 70, 0, -160, 0, -284, 0, 0, 0, 16, 0, 12, 0, 132, 0, 0, 0, 108, 0, 20, 0, 56, 0, 4, 0, -24, 0, -64, 0, 0, 0, 72, 0, -172, 0, -400, 0, -172, 0, 24, 0, 84, 0, 40, 0, -200, 0, 136, 0, -16, 0, -54, 0, 16, 0, -228, 0, -8, 0, -144, 0, 248, 0, -216, 0, -96, 0, 124, 0, 68, 0, -164, 0, 0, 0, 200, 0, -216, 0, -40, 0, 32, 0, -64, 0, 156, 0, -564, 0, -156, 0, 0, 0, -128, 0, 56, 0, 108, 0, -92, 0, 196, 0, 80, 0, 16, 0, -300, 0, -8, 0, 60, 0, 60, 0, 76, 0, 40, 0, -24, 0, 250, 0, -264, 0, -8, 0, -32, 0, -24, 0, 176, 0, 48, 0, 464, 0, -132, 0, 80, 0, 228, 0, -88, 0, 120, 0, 32, 0, -32, 0, -228, 0, 32, 0, -176, 0, -188, 0, -36, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 1085591
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '3344.2.a.c', 'source_level': 3344, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '1672.2.a.b', 'target_level': 1672, 'twist_class_label': '1672.2.a.b', 'twist_class_level': 1672, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1085592
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '3344.2.a.c', 'source_level': 3344, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '3344.2.a.c', 'target_level': 3344, 'twist_class_label': '1672.2.a.b', 'twist_class_level': 1672, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3133050
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 9007199288298768, 'p': 2}
  • id: 3133051
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 9007199288298768, 'p': 3}
  • id: 3133052
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 9007199288298768, 'p': 5}
  • id: 3133053
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 9007199288298768, 'p': 7}
  • id: 3133054
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 9007199288298768, 'p': 11}
  • id: 3133055
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 9007199288298768, 'p': 13}
  • id: 3133056
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 9007199288298768, 'p': 17}
  • id: 3133057
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 9007199288298768, 'p': 19}
  • id: 3133058
    {'charpoly_factorization': [[[-7, 1], 1]], 'hecke_orbit_code': 9007199288298768, 'p': 23}
  • id: 3133059
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 9007199288298768, 'p': 29}
  • id: 3133060
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 9007199288298768, 'p': 31}
  • id: 3133061
    {'charpoly_factorization': [[[5, 1], 1]], 'hecke_orbit_code': 9007199288298768, 'p': 37}
  • id: 3133062
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 9007199288298768, 'p': 41}
  • id: 3133063
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 9007199288298768, 'p': 43}
  • id: 3133064
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 9007199288298768, 'p': 47}
  • id: 3133065
    {'charpoly_factorization': [[[14, 1], 1]], 'hecke_orbit_code': 9007199288298768, 'p': 53}
  • id: 3133066
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 9007199288298768, 'p': 59}
  • id: 3133067
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 9007199288298768, 'p': 61}
  • id: 3133068
    {'charpoly_factorization': [[[7, 1], 1]], 'hecke_orbit_code': 9007199288298768, 'p': 67}
  • id: 3133069
    {'charpoly_factorization': [[[-9, 1], 1]], 'hecke_orbit_code': 9007199288298768, 'p': 71}
  • id: 3133070
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 9007199288298768, 'p': 73}
  • id: 3133071
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 9007199288298768, 'p': 79}
  • id: 3133072
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 9007199288298768, 'p': 83}
  • id: 3133073
    {'charpoly_factorization': [[[13, 1], 1]], 'hecke_orbit_code': 9007199288298768, 'p': 89}
  • id: 3133074
    {'charpoly_factorization': [[[11, 1], 1]], 'hecke_orbit_code': 9007199288298768, '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': 3, 'label': '3344.2.a.c', 'level': 3344, '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: 26765671
    {'hecke_orbit_code': 9007199288298768, 'n': 1, 'trace_an': 1}
  • id: 26765672
    {'hecke_orbit_code': 9007199288298768, 'n': 2, 'trace_an': 0}
  • id: 26765673
    {'hecke_orbit_code': 9007199288298768, 'n': 3, 'trace_an': -1}
  • id: 26765674
    {'hecke_orbit_code': 9007199288298768, 'n': 4, 'trace_an': 0}
  • id: 26765675
    {'hecke_orbit_code': 9007199288298768, 'n': 5, 'trace_an': -3}
  • id: 26765676
    {'hecke_orbit_code': 9007199288298768, 'n': 6, 'trace_an': 0}
  • id: 26765677
    {'hecke_orbit_code': 9007199288298768, 'n': 7, 'trace_an': -2}
  • id: 26765678
    {'hecke_orbit_code': 9007199288298768, 'n': 8, 'trace_an': 0}
  • id: 26765679
    {'hecke_orbit_code': 9007199288298768, 'n': 9, 'trace_an': -2}
  • id: 26765680
    {'hecke_orbit_code': 9007199288298768, 'n': 10, 'trace_an': 0}
  • id: 26765681
    {'hecke_orbit_code': 9007199288298768, 'n': 11, 'trace_an': 1}
  • id: 26765682
    {'hecke_orbit_code': 9007199288298768, 'n': 12, 'trace_an': 0}
  • id: 26765683
    {'hecke_orbit_code': 9007199288298768, 'n': 13, 'trace_an': 4}
  • id: 26765684
    {'hecke_orbit_code': 9007199288298768, 'n': 14, 'trace_an': 0}
  • id: 26765685
    {'hecke_orbit_code': 9007199288298768, 'n': 15, 'trace_an': 3}
  • id: 26765686
    {'hecke_orbit_code': 9007199288298768, 'n': 16, 'trace_an': 0}
  • id: 26765687
    {'hecke_orbit_code': 9007199288298768, 'n': 17, 'trace_an': -2}
  • id: 26765688
    {'hecke_orbit_code': 9007199288298768, 'n': 18, 'trace_an': 0}
  • id: 26765689
    {'hecke_orbit_code': 9007199288298768, 'n': 19, 'trace_an': 1}
  • id: 26765690
    {'hecke_orbit_code': 9007199288298768, 'n': 20, 'trace_an': 0}
  • id: 26765691
    {'hecke_orbit_code': 9007199288298768, 'n': 21, 'trace_an': 2}
  • id: 26765692
    {'hecke_orbit_code': 9007199288298768, 'n': 22, 'trace_an': 0}
  • id: 26765693
    {'hecke_orbit_code': 9007199288298768, 'n': 23, 'trace_an': 7}
  • id: 26765694
    {'hecke_orbit_code': 9007199288298768, 'n': 24, 'trace_an': 0}
  • id: 26765695
    {'hecke_orbit_code': 9007199288298768, 'n': 25, 'trace_an': 4}
  • id: 26765696
    {'hecke_orbit_code': 9007199288298768, 'n': 26, 'trace_an': 0}
  • id: 26765697
    {'hecke_orbit_code': 9007199288298768, 'n': 27, 'trace_an': 5}
  • id: 26765698
    {'hecke_orbit_code': 9007199288298768, 'n': 28, 'trace_an': 0}
  • id: 26765699
    {'hecke_orbit_code': 9007199288298768, 'n': 29, 'trace_an': 4}
  • id: 26765700
    {'hecke_orbit_code': 9007199288298768, 'n': 30, 'trace_an': 0}
  • id: 26765701
    {'hecke_orbit_code': 9007199288298768, 'n': 31, 'trace_an': 3}
  • id: 26765702
    {'hecke_orbit_code': 9007199288298768, 'n': 32, 'trace_an': 0}
  • id: 26765703
    {'hecke_orbit_code': 9007199288298768, 'n': 33, 'trace_an': -1}
  • id: 26765704
    {'hecke_orbit_code': 9007199288298768, 'n': 34, 'trace_an': 0}
  • id: 26765705
    {'hecke_orbit_code': 9007199288298768, 'n': 35, 'trace_an': 6}
  • id: 26765706
    {'hecke_orbit_code': 9007199288298768, 'n': 36, 'trace_an': 0}
  • id: 26765707
    {'hecke_orbit_code': 9007199288298768, 'n': 37, 'trace_an': -5}
  • id: 26765708
    {'hecke_orbit_code': 9007199288298768, 'n': 38, 'trace_an': 0}
  • id: 26765709
    {'hecke_orbit_code': 9007199288298768, 'n': 39, 'trace_an': -4}
  • id: 26765710
    {'hecke_orbit_code': 9007199288298768, 'n': 40, 'trace_an': 0}
  • id: 26765711
    {'hecke_orbit_code': 9007199288298768, 'n': 41, 'trace_an': 4}
  • id: 26765712
    {'hecke_orbit_code': 9007199288298768, 'n': 42, 'trace_an': 0}
  • id: 26765713
    {'hecke_orbit_code': 9007199288298768, 'n': 43, 'trace_an': 2}
  • id: 26765714
    {'hecke_orbit_code': 9007199288298768, 'n': 44, 'trace_an': 0}
  • id: 26765715
    {'hecke_orbit_code': 9007199288298768, 'n': 45, 'trace_an': 6}
  • id: 26765716
    {'hecke_orbit_code': 9007199288298768, 'n': 46, 'trace_an': 0}
  • id: 26765717
    {'hecke_orbit_code': 9007199288298768, 'n': 47, 'trace_an': 0}
  • id: 26765718
    {'hecke_orbit_code': 9007199288298768, 'n': 48, 'trace_an': 0}
  • id: 26765719
    {'hecke_orbit_code': 9007199288298768, 'n': 49, 'trace_an': -3}
  • id: 26765720
    {'hecke_orbit_code': 9007199288298768, 'n': 50, 'trace_an': 0}
  • id: 26765721
    {'hecke_orbit_code': 9007199288298768, 'n': 51, 'trace_an': 2}
  • id: 26765722
    {'hecke_orbit_code': 9007199288298768, 'n': 52, 'trace_an': 0}
  • id: 26765723
    {'hecke_orbit_code': 9007199288298768, 'n': 53, 'trace_an': -14}
  • id: 26765724
    {'hecke_orbit_code': 9007199288298768, 'n': 54, 'trace_an': 0}
  • id: 26765725
    {'hecke_orbit_code': 9007199288298768, 'n': 55, 'trace_an': -3}
  • id: 26765726
    {'hecke_orbit_code': 9007199288298768, 'n': 56, 'trace_an': 0}
  • id: 26765727
    {'hecke_orbit_code': 9007199288298768, 'n': 57, 'trace_an': -1}
  • id: 26765728
    {'hecke_orbit_code': 9007199288298768, 'n': 58, 'trace_an': 0}
  • id: 26765729
    {'hecke_orbit_code': 9007199288298768, 'n': 59, 'trace_an': 5}
  • id: 26765730
    {'hecke_orbit_code': 9007199288298768, 'n': 60, 'trace_an': 0}
  • id: 26765731
    {'hecke_orbit_code': 9007199288298768, 'n': 61, 'trace_an': -8}
  • id: 26765732
    {'hecke_orbit_code': 9007199288298768, 'n': 62, 'trace_an': 0}
  • id: 26765733
    {'hecke_orbit_code': 9007199288298768, 'n': 63, 'trace_an': 4}
  • id: 26765734
    {'hecke_orbit_code': 9007199288298768, 'n': 64, 'trace_an': 0}
  • id: 26765735
    {'hecke_orbit_code': 9007199288298768, 'n': 65, 'trace_an': -12}
  • id: 26765736
    {'hecke_orbit_code': 9007199288298768, 'n': 66, 'trace_an': 0}
  • id: 26765737
    {'hecke_orbit_code': 9007199288298768, 'n': 67, 'trace_an': -7}
  • id: 26765738
    {'hecke_orbit_code': 9007199288298768, 'n': 68, 'trace_an': 0}
  • id: 26765739
    {'hecke_orbit_code': 9007199288298768, 'n': 69, 'trace_an': -7}
  • id: 26765740
    {'hecke_orbit_code': 9007199288298768, 'n': 70, 'trace_an': 0}
  • id: 26765741
    {'hecke_orbit_code': 9007199288298768, 'n': 71, 'trace_an': 9}
  • id: 26765742
    {'hecke_orbit_code': 9007199288298768, 'n': 72, 'trace_an': 0}
  • id: 26765743
    {'hecke_orbit_code': 9007199288298768, 'n': 73, 'trace_an': 8}
  • id: 26765744
    {'hecke_orbit_code': 9007199288298768, 'n': 74, 'trace_an': 0}
  • id: 26765745
    {'hecke_orbit_code': 9007199288298768, 'n': 75, 'trace_an': -4}
  • id: 26765746
    {'hecke_orbit_code': 9007199288298768, 'n': 76, 'trace_an': 0}
  • id: 26765747
    {'hecke_orbit_code': 9007199288298768, 'n': 77, 'trace_an': -2}
  • id: 26765748
    {'hecke_orbit_code': 9007199288298768, 'n': 78, 'trace_an': 0}
  • id: 26765749
    {'hecke_orbit_code': 9007199288298768, 'n': 79, 'trace_an': -6}
  • id: 26765750
    {'hecke_orbit_code': 9007199288298768, 'n': 80, 'trace_an': 0}
  • id: 26765751
    {'hecke_orbit_code': 9007199288298768, 'n': 81, 'trace_an': 1}
  • id: 26765752
    {'hecke_orbit_code': 9007199288298768, 'n': 82, 'trace_an': 0}
  • id: 26765753
    {'hecke_orbit_code': 9007199288298768, 'n': 83, 'trace_an': -2}
  • id: 26765754
    {'hecke_orbit_code': 9007199288298768, 'n': 84, 'trace_an': 0}
  • id: 26765755
    {'hecke_orbit_code': 9007199288298768, 'n': 85, 'trace_an': 6}
  • id: 26765756
    {'hecke_orbit_code': 9007199288298768, 'n': 86, 'trace_an': 0}
  • id: 26765757
    {'hecke_orbit_code': 9007199288298768, 'n': 87, 'trace_an': -4}
  • id: 26765758
    {'hecke_orbit_code': 9007199288298768, 'n': 88, 'trace_an': 0}
  • id: 26765759
    {'hecke_orbit_code': 9007199288298768, 'n': 89, 'trace_an': -13}
  • id: 26765760
    {'hecke_orbit_code': 9007199288298768, 'n': 90, 'trace_an': 0}
  • id: 26765761
    {'hecke_orbit_code': 9007199288298768, 'n': 91, 'trace_an': -8}
  • id: 26765762
    {'hecke_orbit_code': 9007199288298768, 'n': 92, 'trace_an': 0}
  • id: 26765763
    {'hecke_orbit_code': 9007199288298768, 'n': 93, 'trace_an': -3}
  • id: 26765764
    {'hecke_orbit_code': 9007199288298768, 'n': 94, 'trace_an': 0}
  • id: 26765765
    {'hecke_orbit_code': 9007199288298768, 'n': 95, 'trace_an': -3}
  • id: 26765766
    {'hecke_orbit_code': 9007199288298768, 'n': 96, 'trace_an': 0}
  • id: 26765767
    {'hecke_orbit_code': 9007199288298768, 'n': 97, 'trace_an': -11}
  • id: 26765768
    {'hecke_orbit_code': 9007199288298768, 'n': 98, 'trace_an': 0}
  • id: 26765769
    {'hecke_orbit_code': 9007199288298768, 'n': 99, 'trace_an': -2}
  • id: 26765770
    {'hecke_orbit_code': 9007199288298768, 'n': 100, 'trace_an': 0}