Newform data - 9680.2.a.i

Formats: - HTML - YAML - JSON - 2026-07-21T19:05:59.845959

• 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': 38720, 'analytic_conductor': 77.2951891565994, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [5, 1], [11, 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': [9680, 1, [3631, 2421, 1937, 4721], [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]], [7, [-3, 1]], [13, [-4, 1]], [17, [3, 1]]], 'hecke_orbit': 9, 'hecke_orbit_code': 36028797052528080, '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': '9680.2.a.i', 'level': 9680, '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, 5, 11], 'level_radical': 110, 'minimal_twist': '4840.2.a.g', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-q^{3}-q^{5}+3q^{7}-2q^{9}+4q^{13}+\\cdots', 'related_objects': ['EllipticCurve/Q/9680/i'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '9680.2.a', 'trace_display': [0, -1, -1, 3], 'trace_hash': 434531573333706525, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.008', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.040', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.225', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.013', 'prec': 17}, 'traces': [1, 0, -1, 0, -1, 0, 3, 0, -2, 0, 0, 0, 4, 0, 1, 0, -3, 0, -3, 0, -3, 0, -4, 0, 1, 0, 5, 0, 1, 0, 5, 0, 0, 0, -3, 0, -5, 0, -4, 0, 2, 0, -8, 0, 2, 0, 10, 0, 2, 0, 3, 0, 11, 0, 0, 0, 3, 0, 0, 0, -1, 0, -6, 0, -4, 0, -4, 0, 4, 0, -5, 0, -10, 0, -1, 0, 0, 0, -8, 0, 1, 0, 0, 0, 3, 0, -1, 0, -15, 0, 12, 0, -5, 0, 3, 0, -6, 0, 0, 0, 18, 0, -10, 0, 3, 0, -18, 0, 14, 0, 5, 0, 16, 0, 4, 0, -8, 0, -9, 0, 0, 0, -2, 0, -1, 0, -16, 0, 8, 0, -15, 0, -9, 0, -5, 0, 4, 0, -4, 0, -10, 0, 0, 0, -1, 0, -2, 0, 19, 0, 12, 0, 6, 0, -5, 0, 11, 0, -11, 0, -12, 0, -5, 0, 0, 0, -1, 0, 3, 0, 6, 0, -14, 0, 3, 0, 0, 0, 2, 0, 16, 0, 1, 0, 5, 0, 0, 0, 15, 0, 4, 0, 5, 0, 4, 0, 26, 0, -17, 0, 4, 0, 3, 0, -2, 0, 8, 0, 0, 0, -23, 0, 5, 0, 8, 0, 15, 0, 10, 0, -12, 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24, 0, -8, 0, 20, 0, 15, 0, 0, 0, 5, 0, -42, 0, -30, 0, -50, 0, 0, 0, 0, 0, 21, 0, 70, 0, 92, 0, 6, 0, 32, 0, -27, 0, -42, 0, 8, 0, 77, 0, 0, 0, -75, 0, 68, 0, 42, 0, -6, 0, -18, 0, 68, 0, 50, 0, 60, 0, 39, 0, 16, 0, 0, 0, 8, 0, -57, 0, 10, 0, -3, 0, -48, 0, 3, 0, 59, 0, -84, 0, 10, 0, 40, 0, 0, 0, 28, 0, -34, 0, -23, 0, 30, 0, -43, 0, 38, 0, -114, 0, 4, 0, -10, 0, -36, 0, 0, 0, -9, 0, 4, 0, -12, 0, 32, 0, 32, 0, 6, 0, -24, 0, 12, 0, -90, 0, 0, 0, 0, 0, 5, 0, -102, 0, -8, 0, 55, 0, 3, 0, 0, 0, -18, 0, -96, 0, -10, 0, 22, 0, 0, 0, 58, 0, 12, 0, 64, 0, 40, 0, -8, 0, 68, 0, 18, 0, -6, 0, -30, 0, 39, 0, 0, 0, -51, 0, 42, 0, 70, 0, 15, 0, 78, 0, 4, 0, 56, 0, 36, 0, 26, 0, -3, 0, 0, 0, -60, 0, 49, 0, -14, 0, -32, 0, 86, 0, 38, 0, 0, 0, -9, 0, -64, 0, 40, 0, 0, 0, -33, 0, -17, 0, -10, 0, -2, 0, -48, 0, -20, 0, 19, 0, -5, 0, -16, 0, 97, 0, 0, 0, 2, 0, -30, 0, 0, 0, -15, 0, 60, 0, -8, 0, -36, 0, -30, 0, 33, 0, 24, 0, 0, 0, 16, 0, 52, 0, -42, 0, 58, 0, -29, 0, 5, 0, -27, 0, -38, 0, -6, 0, 3, 0, 0, 0, -38, 0, 80, 0, 40, 0, -40, 0, 19, 0, 36, 0, 48, 0, 16, 0, -16, 0, -60, 0, 0, 0, 0, 0, -114, 0, -2, 0, -48, 0, 34, 0, 32, 0, 53, 0, -6, 0, 30, 0, 71, 0, 0, 0, -54, 0, 18, 0, 15, 0, -21, 0, 72, 0, -18, 0, 20, 0, 56, 0, 79, 0, -3, 0, 0, 0, 45, 0, 32, 0, -88, 0, 28, 0, 36, 0, -1, 0, 0, 0, -57, 0, 90, 0, -88, 0, 0, 0, -31, 0, 80, 0, 20, 0, -90, 0, -15, 0, -59, 0, -40, 0, -16, 0, 20, 0, 49, 0, 0, 0, -64, 0, 14, 0, 40, 0, -23, 0, 73, 0, -15], '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], [-1], [0], [3], [0], [-2], [0], [0], [0], [4], [0], [1], [0], [-3], [0], [-3], [0], [-3], [0], [-4], [0], [1], [0], [5], [0], [1], [0], [5], [0], [0], [0], [-3], [0], [-5], [0], [-4], [0], [2], [0], [-8], [0], [2], [0], [10], [0], [2], [0], [3], [0], [11], [0], [0], [0], [3], [0], [0], [0], [-1], [0], [-6], [0], [-4], [0], [-4], [0], [4], [0], [-5], [0], [-10], [0], [-1], [0], [0], [0], [-8], [0], [1], [0], [0], [0], [3], [0], [-1], [0], [-15], [0], [12], [0], [-5], [0], [3], [0], [-6], [0], [0], [0]], 'ap': [[0], [-1], [-1], [3], [0], [4], [-3], [-3], [-4], [1], [5], [-5], [2], [-8], [10], [11], [0], [-1], [-4], [-5], [-10], [-8], [0], [-15], [-6], [18], [-10], [-18], [14], [16], [-16], [-15], [4], [-4], [19], [12], [11], [-5], [-1], [-14], [2], [16], [4], [5], [26], [-17], [-23], [-2], [14], [-16], [13], [14], [-22], [-16], [-12], [-11], [-4], [32], [-22], [18], [4], [10], [2], [21], [-34], [17], [-20], [-29], [-18], [-10], [-12], [2], [-28], [6], [32], [2], [-24], [-10], [-25], [-38], [-10], [26], [-12], [-14], [-38], [24], [-30], [3], [-29], [-8], [15], [-6], [-32], [-11], [10], [-4], [-6], [10], [-18], [9], [-26], [0], [18], [-10], [23], [24], [-39], [14], [-19], [-2], [29], [16], [6], [-18], [-49], [19], [-33], [12], [-3], [-33], [22], [5], [-2], [1], [10], [-45], [-18], [-31], [44], [32], [48], [23], [-23], [38], [54], [-38], [15], [6], [-26], [-24], [31], [-6], [-46], [30], [4], [-44], [-40], [25], [-52], [-50], [42], [-26], [57], [-48], [35], [-9], [32], [-21], [-42], [-39], [-59], [43], [-55], [-22], [6], [-4], [0], [48], [-16], [27], [-19], [-16], [54], [21], [-32], [59], [-20], [10], [37], [-1], [52], [-35], [-19], [-39], [-32], [0], [4], [4], [36], [-50], [12], [-16], [42], [28], [-54], [-14], [-8], [-2], [66], [9], [49], [62], [65], [14], [-14], [15], [0], [-4], [-60], [34], [43], [28], [50], [53], [10], [-65], [37], [-40], [-20], [-11], [-54], [50], [29], [-16], [44], [-29], [6], [-45], [32], [44], [-30], [15], [2], [-40], [-4], [1], [-37], [-48], [-18], [9], [9], [-4], [-66], [-50], [66], [34], [-18], [54], [29], [-51], [36], [-10], [66], [-65], [6], [-35], [18], [6], [78], [15], [36], [-48], [35], [-2], [20], [78], [54], [33], [-18], [-44], [-24], [37], [42], [44], [73], [-30], [72], [-34], [-20], [-37], [19], [0], [-72], [55], [-20], [45], [-14], [36], [35], [18], [-50], [36], [-67], [-57], [86], [-30], [72], [25], [-44], [-22], [67], [18], [-46], [-44], [-86], [-16], [-4], [-76], [81], [16], [-40], [-4], [28], [51], [-25], [-14], [30], [-46], [4], [24], [-73], [10], [66], [-22], [-5], [31], [-2], [-20], [-13], [48], [-23], [-30], [26], [-38], [73], [7], [-66], [13], [85], [-25], [-6], [0], [17], [35], [-81], [43], [2], [-35], [-60], [17], [-3], [56], [-48], [61], [23], [7], [45], [71], [70], [-72], [18], [-42], [-16], [11], [-13], [-96], [10], [-29], [2], [4], [-66], [-64], [27], [-22], [6], [-62], [42], [61], [42], [-57], [54], [26], [-28], [19], [52], [36], [16], [-91], [50], [12], [61], [29], [-80], [28], [-48], [-66], [68], [19], [-98], [47], [57], [-64], [-8], [-42], [70], [92], [-27], [8], [77], [50], [10], [-48], [-84], [28], [30], [38], [32], [12], [-102], [3], [-96], [58], [68], [-51], [36], [-3], [49], [86], [38], [-16], [97], [-15], [-30], [24], [5], [-38], [-38], [48], [-60], [34], [53], [71], [79], [-88], [28], [-31], [40], [73], [-15]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 36028797052528080, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '9680.2.a.i', 'level': 9680, 'maxp': 3169, '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, 30, 25, 30, 25, 24, 30], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [17, 18, 18, 18, 18, 18, 18, 18], 'ALdims_old': [157, 168, 162, 161, 168, 155, 162, 162], 'Nk2': 38720, 'analytic_conductor': 77.2951891565994, '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': [9680, 1, [3631, 2421, 1937, 4721], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1513, 'dim': 218, 'eis_dim': 143, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7, 13, 17], 'hecke_orbit_code': 33564112, '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, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 6, 6, 6, 6, 6, 6, 6, 6, 8, 8], 'label': '9680.2.a', 'level': 9680, '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, 5, 11], 'level_radical': 110, 'mf_dim': 1656, 'mf_new_dim': 218, 'num_forms': 84, 'plus_dim': 98, 'prim_orbit_index': 1, 'relative_dim': 218, 'sturm_bound': 3168, 'trace_bound': 17, 'trace_display': [0, 2, 0, 6], 'traces': [218, 0, 2, 0, 0, 0, 6, 0, 222, 0, 0, 0, 0, 0, -2, 0, 4, 0, 0, 0, -4, 0, -2, 0, 218, 0, -4, 0, -12, 0, 12, 0, 0, 0, -6, 0, -8, 0, -20, 0, 0, 0, 14, 0, -4, 0, -22, 0, 230, 0, -36, 0, 0, 0, 0, 0, 8, 0, -16, 0, 16, 0, 6, 0, 4, 0, 30, 0, 20, 0, 12, 0, 20, 0, 2, 0, 0, 0, 8, 0, 230, 0, -26, 0, 8, 0, -36, 0, 20, 0, 52, 0, 40, 0, 8, 0, 28, 0, 0, 0, 28, 0, 30, 0, 4, 0, -46, 0, 0, 0, -36, 0, -12, 0, 2, 0, 40, 0, -36, 0, 0, 0, -36, 0, 0, 0, 22, 0, 4, 0, 60, 0, 24, 0, -20, 0, -28, 0, -56, 0, 44, 0, 0, 0, 8, 0, 2, 0, 0, 0, 52, 0, -36, 0, 20, 0, 8, 0, 52, 0, -36, 0, 74, 0, 0, 0, 14, 0, 222, 0, 32, 0, 24, 0, 6, 0, -56, 0, 56, 0, 12, 0, 52, 0, -4, 0, 0, 0, 40, 0, 4, 0, 4, 0, 4, 0, 24, 0, 16, 0, 12, 0, 28, 0, -12, 0, 54, 0, 0, 0, -20, 0, 56, 0, 26, 0, 8, 0, 124, 0, -32, 0, -82, 0, 222, 0, -62, 0, -12, 0, 0, 0, -52, 0, -10, 0, 48, 0, 40, 0, 48, 0, -50, 0, -20, 0, 80, 0, 20, 0, -36, 0, 0, 0, 36, 0, 20, 0, 60, 0, -36, 0, -30, 0, 20, 0, 132, 0, 32, 0, 44, 0, 24, 0, 0, 0, -16, 0, 68, 0, -48, 0, 54, 0, 24, 0, -76, 0, 198, 0, -60, 0, 8, 0, -32, 0, 0, 0, 4, 0, -36, 0, -20, 0, -4, 0, 50, 0, 100, 0, -12, 0, -4, 0, 10, 0, 56, 0, 0, 0, -20, 0, -64, 0, 0, 0, 100, 0, 20, 0, -12, 0, -32, 0, -6, 0, -68, 0, 28, 0, 0, 0, 132, 0, 28, 0, -22, 0, -28, 0, -168, 0, -68, 0, 36, 0, 56, 0, 96, 0, 258, 0, 0, 0, 8, 0, 394, 0, 120, 0, -148, 0, -96, 0, -2, 0, 0, 0, 408, 0, -36, 0, -170, 0, 0, 0, -34, 0, -32, 0, -44, 0, 32, 0, -40, 0, -64, 0, 352, 0, 20, 0, -72, 0, -44, 0, 0, 0, 8, 0, 52, 0, 88, 0, -30, 0, 104, 0, -48, 0, 32, 0, -6, 0, 4, 0, 348, 0, 0, 0, -116, 0, -4, 0, -60, 0, -8, 0, -32, 0, 314, 0, 90, 0, 0, 0, -44, 0, 24, 0, 0, 0, -8, 0, 12, 0, -52, 0, -40, 0, -4, 0, 462, 0, 40, 0, 54, 0, -28, 0, 188, 0, 0, 0, 0, 0, 40, 0, -24, 0, 88, 0, -104, 0, 16, 0, -110, 0, 20, 0, -60, 0, 88, 0, 0, 0, -88, 0, 56, 0, -68, 0, -6, 0, -16, 0, 606, 0, -60, 0, 92, 0, -48, 0, 50, 0, 0, 0, 92, 0, -28, 0, -18, 0, -4, 0, -40, 0, 166, 0, 80, 0, 8, 0, -26, 0, -40, 0, 0, 0, -36, 0, 84, 0, 12, 0, -62, 0, 56, 0, 24, 0, 64, 0, -4, 0, -112, 0, 420, 0, 0, 0, -106, 0, 40, 0, 94, 0, -120, 0, 156, 0, -200, 0, -2, 0, 4, 0, -132, 0, -36, 0, 0, 0, -4, 0, 54, 0, 80, 0, 124, 0, 12, 0, 28, 0, -80, 0, -56, 0, 64, 0, 334, 0, 0, 0, -34, 0, 8, 0, 108, 0, -24, 0, 84, 0, 44, 0, 440, 0, -8, 0, 60, 0, 218, 0, 0, 0, -32, 0, 28, 0, -32, 0, 10, 0, 56, 0, 116, 0, -80, 0, 34, 0, 12, 0, 106, 0, 0, 0, 32, 0, -136, 0, 60, 0, 44, 0, 88, 0, 96, 0, -56, 0, 8, 0, 68, 0, -92, 0, 0, 0, 44, 0, -4, 0, -200, 0, -68, 0, -68, 0, -150, 0, 24, 0, 540, 0, -24, 0, -140, 0, 0, 0, 32, 0, 16, 0, 140, 0, 112, 0, 176, 0, -28, 0, -60, 0, -44, 0, -40, 0, -72, 0, 0, 0, -16, 0, 8, 0, 140, 0, 300, 0, -12, 0, -78, 0, 354, 0, 108, 0, -72, 0, -114, 0, 0, 0, -8, 0, -192, 0, 122, 0, 12, 0, -10, 0, -140, 0, -44, 0, 96, 0, 12, 0, -32, 0, 0, 0, 100, 0, 308, 0, 0, 0, 176, 0, 52, 0, 20, 0, 72, 0, 12, 0, 216, 0, -8, 0, 0, 0, 104, 0, -36, 0, -38, 0, -124, 0, -132, 0, 168, 0, 12, 0, -72, 0, 76, 0, 60, 0, 0, 0, 4, 0, -4, 0, -28, 0, -92, 0, 24, 0, -34, 0, 120, 0, -76, 0, -16, 0, -218, 0, 0, 0, 106, 0, 144, 0, -132, 0, 124, 0, -78, 0, 48, 0, 56, 0, 214, 0, 28, 0, 0, 0, 0, 0, 36, 0, -380, 0, 24, 0, -88, 0, -124, 0, -40, 0, -120, 0, -578, 0, -20, 0, -194, 0, 0, 0, -76, 0, 148, 0, -6, 0, -40, 0, -36, 0, -96, 0, -422, 0, -24, 0, -98, 0, 20, 0, 0, 0, -24, 0, 48, 0, 136, 0, -56, 0, 48, 0, 96, 0, -64, 0, -122, 0, 4, 0, -212, 0, 0, 0, -52, 0, 160, 0, -72, 0, 44, 0, -200, 0, -8, 0, 6, 0, -24, 0, 0, 0, -24, 0, 0, 0, 124, 0, 492, 0, 108, 0, -332, 0, 72, 0, -370, 0, 128, 0, 180, 0, -68, 0, 92, 0, 0, 0, -180, 0, 298, 0, -222, 0, -24, 0, -10, 0, -248, 0, -156, 0, 72, 0, -20, 0, -332, 0, 0, 0, -24, 0, -2, 0, 44, 0, -56, 0, 4, 0, -628, 0, -408, 0, 32, 0, 192, 0, -32, 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: 1442541
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '9680.2.a.i', 'source_level': 9680, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 7, 'target_is_minimal': True, 'target_label': '4840.2.a.g', 'target_level': 4840, 'twist_class_label': '4840.2.a.g', 'twist_class_level': 4840, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1442542
    {'conductor': 44, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '9680.2.a.i', 'source_level': 9680, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 8, 'target_is_minimal': True, 'target_label': '4840.2.a.h', 'target_level': 4840, 'twist_class_label': '4840.2.a.g', 'twist_class_level': 4840, 'twisting_char_label': '44.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 1442543
    {'conductor': 11, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '9680.2.a.i', 'source_level': 9680, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '9680.2.a.e', 'target_level': 9680, 'twist_class_label': '4840.2.a.g', 'twist_class_level': 4840, 'twisting_char_label': '11.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1442544
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '9680.2.a.i', 'source_level': 9680, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '9680.2.a.i', 'target_level': 9680, 'twist_class_label': '4840.2.a.g', 'twist_class_level': 4840, '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: 5094525
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 36028797052528080, 'p': 2}
  • id: 5094526
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 36028797052528080, 'p': 3}
  • id: 5094527
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 36028797052528080, 'p': 5}
  • id: 5094528
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 36028797052528080, 'p': 7}
  • id: 5094529
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 36028797052528080, 'p': 11}
  • id: 5094530
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 36028797052528080, 'p': 13}
  • id: 5094531
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 36028797052528080, 'p': 17}
  • id: 5094532
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 36028797052528080, 'p': 19}
  • id: 5094533
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 36028797052528080, 'p': 23}
  • id: 5094534
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 36028797052528080, 'p': 29}
  • id: 5094535
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 36028797052528080, 'p': 31}
  • id: 5094536
    {'charpoly_factorization': [[[5, 1], 1]], 'hecke_orbit_code': 36028797052528080, 'p': 37}
  • id: 5094537
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 36028797052528080, 'p': 41}
  • id: 5094538
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 36028797052528080, 'p': 43}
  • id: 5094539
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 36028797052528080, 'p': 47}
  • id: 5094540
    {'charpoly_factorization': [[[-11, 1], 1]], 'hecke_orbit_code': 36028797052528080, 'p': 53}
  • id: 5094541
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 36028797052528080, 'p': 59}
  • id: 5094542
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 36028797052528080, 'p': 61}
  • id: 5094543
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 36028797052528080, 'p': 67}
  • id: 5094544
    {'charpoly_factorization': [[[5, 1], 1]], 'hecke_orbit_code': 36028797052528080, 'p': 71}
  • id: 5094545
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 36028797052528080, 'p': 73}
  • id: 5094546
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 36028797052528080, 'p': 79}
  • id: 5094547
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 36028797052528080, 'p': 83}
  • id: 5094548
    {'charpoly_factorization': [[[15, 1], 1]], 'hecke_orbit_code': 36028797052528080, 'p': 89}
  • id: 5094549
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 36028797052528080, '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': 9, 'label': '9680.2.a.i', 'level': 9680, '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: 51507871
    {'hecke_orbit_code': 36028797052528080, 'n': 1, 'trace_an': 1}
  • id: 51507872
    {'hecke_orbit_code': 36028797052528080, 'n': 2, 'trace_an': 0}
  • id: 51507873
    {'hecke_orbit_code': 36028797052528080, 'n': 3, 'trace_an': -1}
  • id: 51507874
    {'hecke_orbit_code': 36028797052528080, 'n': 4, 'trace_an': 0}
  • id: 51507875
    {'hecke_orbit_code': 36028797052528080, 'n': 5, 'trace_an': -1}
  • id: 51507876
    {'hecke_orbit_code': 36028797052528080, 'n': 6, 'trace_an': 0}
  • id: 51507877
    {'hecke_orbit_code': 36028797052528080, 'n': 7, 'trace_an': 3}
  • id: 51507878
    {'hecke_orbit_code': 36028797052528080, 'n': 8, 'trace_an': 0}
  • id: 51507879
    {'hecke_orbit_code': 36028797052528080, 'n': 9, 'trace_an': -2}
  • id: 51507880
    {'hecke_orbit_code': 36028797052528080, 'n': 10, 'trace_an': 0}
  • id: 51507881
    {'hecke_orbit_code': 36028797052528080, 'n': 11, 'trace_an': 0}
  • id: 51507882
    {'hecke_orbit_code': 36028797052528080, 'n': 12, 'trace_an': 0}
  • id: 51507883
    {'hecke_orbit_code': 36028797052528080, 'n': 13, 'trace_an': 4}
  • id: 51507884
    {'hecke_orbit_code': 36028797052528080, 'n': 14, 'trace_an': 0}
  • id: 51507885
    {'hecke_orbit_code': 36028797052528080, 'n': 15, 'trace_an': 1}
  • id: 51507886
    {'hecke_orbit_code': 36028797052528080, 'n': 16, 'trace_an': 0}
  • id: 51507887
    {'hecke_orbit_code': 36028797052528080, 'n': 17, 'trace_an': -3}
  • id: 51507888
    {'hecke_orbit_code': 36028797052528080, 'n': 18, 'trace_an': 0}
  • id: 51507889
    {'hecke_orbit_code': 36028797052528080, 'n': 19, 'trace_an': -3}
  • id: 51507890
    {'hecke_orbit_code': 36028797052528080, 'n': 20, 'trace_an': 0}
  • id: 51507891
    {'hecke_orbit_code': 36028797052528080, 'n': 21, 'trace_an': -3}
  • id: 51507892
    {'hecke_orbit_code': 36028797052528080, 'n': 22, 'trace_an': 0}
  • id: 51507893
    {'hecke_orbit_code': 36028797052528080, 'n': 23, 'trace_an': -4}
  • id: 51507894
    {'hecke_orbit_code': 36028797052528080, 'n': 24, 'trace_an': 0}
  • id: 51507895
    {'hecke_orbit_code': 36028797052528080, 'n': 25, 'trace_an': 1}
  • id: 51507896
    {'hecke_orbit_code': 36028797052528080, 'n': 26, 'trace_an': 0}
  • id: 51507897
    {'hecke_orbit_code': 36028797052528080, 'n': 27, 'trace_an': 5}
  • id: 51507898
    {'hecke_orbit_code': 36028797052528080, 'n': 28, 'trace_an': 0}
  • id: 51507899
    {'hecke_orbit_code': 36028797052528080, 'n': 29, 'trace_an': 1}
  • id: 51507900
    {'hecke_orbit_code': 36028797052528080, 'n': 30, 'trace_an': 0}
  • id: 51507901
    {'hecke_orbit_code': 36028797052528080, 'n': 31, 'trace_an': 5}
  • id: 51507902
    {'hecke_orbit_code': 36028797052528080, 'n': 32, 'trace_an': 0}
  • id: 51507903
    {'hecke_orbit_code': 36028797052528080, 'n': 33, 'trace_an': 0}
  • id: 51507904
    {'hecke_orbit_code': 36028797052528080, 'n': 34, 'trace_an': 0}
  • id: 51507905
    {'hecke_orbit_code': 36028797052528080, 'n': 35, 'trace_an': -3}
  • id: 51507906
    {'hecke_orbit_code': 36028797052528080, 'n': 36, 'trace_an': 0}
  • id: 51507907
    {'hecke_orbit_code': 36028797052528080, 'n': 37, 'trace_an': -5}
  • id: 51507908
    {'hecke_orbit_code': 36028797052528080, 'n': 38, 'trace_an': 0}
  • id: 51507909
    {'hecke_orbit_code': 36028797052528080, 'n': 39, 'trace_an': -4}
  • id: 51507910
    {'hecke_orbit_code': 36028797052528080, 'n': 40, 'trace_an': 0}
  • id: 51507911
    {'hecke_orbit_code': 36028797052528080, 'n': 41, 'trace_an': 2}
  • id: 51507912
    {'hecke_orbit_code': 36028797052528080, 'n': 42, 'trace_an': 0}
  • id: 51507913
    {'hecke_orbit_code': 36028797052528080, 'n': 43, 'trace_an': -8}
  • id: 51507914
    {'hecke_orbit_code': 36028797052528080, 'n': 44, 'trace_an': 0}
  • id: 51507915
    {'hecke_orbit_code': 36028797052528080, 'n': 45, 'trace_an': 2}
  • id: 51507916
    {'hecke_orbit_code': 36028797052528080, 'n': 46, 'trace_an': 0}
  • id: 51507917
    {'hecke_orbit_code': 36028797052528080, 'n': 47, 'trace_an': 10}
  • id: 51507918
    {'hecke_orbit_code': 36028797052528080, 'n': 48, 'trace_an': 0}
  • id: 51507919
    {'hecke_orbit_code': 36028797052528080, 'n': 49, 'trace_an': 2}
  • id: 51507920
    {'hecke_orbit_code': 36028797052528080, 'n': 50, 'trace_an': 0}
  • id: 51507921
    {'hecke_orbit_code': 36028797052528080, 'n': 51, 'trace_an': 3}
  • id: 51507922
    {'hecke_orbit_code': 36028797052528080, 'n': 52, 'trace_an': 0}
  • id: 51507923
    {'hecke_orbit_code': 36028797052528080, 'n': 53, 'trace_an': 11}
  • id: 51507924
    {'hecke_orbit_code': 36028797052528080, 'n': 54, 'trace_an': 0}
  • id: 51507925
    {'hecke_orbit_code': 36028797052528080, 'n': 55, 'trace_an': 0}
  • id: 51507926
    {'hecke_orbit_code': 36028797052528080, 'n': 56, 'trace_an': 0}
  • id: 51507927
    {'hecke_orbit_code': 36028797052528080, 'n': 57, 'trace_an': 3}
  • id: 51507928
    {'hecke_orbit_code': 36028797052528080, 'n': 58, 'trace_an': 0}
  • id: 51507929
    {'hecke_orbit_code': 36028797052528080, 'n': 59, 'trace_an': 0}
  • id: 51507930
    {'hecke_orbit_code': 36028797052528080, 'n': 60, 'trace_an': 0}
  • id: 51507931
    {'hecke_orbit_code': 36028797052528080, 'n': 61, 'trace_an': -1}
  • id: 51507932
    {'hecke_orbit_code': 36028797052528080, 'n': 62, 'trace_an': 0}
  • id: 51507933
    {'hecke_orbit_code': 36028797052528080, 'n': 63, 'trace_an': -6}
  • id: 51507934
    {'hecke_orbit_code': 36028797052528080, 'n': 64, 'trace_an': 0}
  • id: 51507935
    {'hecke_orbit_code': 36028797052528080, 'n': 65, 'trace_an': -4}
  • id: 51507936
    {'hecke_orbit_code': 36028797052528080, 'n': 66, 'trace_an': 0}
  • id: 51507937
    {'hecke_orbit_code': 36028797052528080, 'n': 67, 'trace_an': -4}
  • id: 51507938
    {'hecke_orbit_code': 36028797052528080, 'n': 68, 'trace_an': 0}
  • id: 51507939
    {'hecke_orbit_code': 36028797052528080, 'n': 69, 'trace_an': 4}
  • id: 51507940
    {'hecke_orbit_code': 36028797052528080, 'n': 70, 'trace_an': 0}
  • id: 51507941
    {'hecke_orbit_code': 36028797052528080, 'n': 71, 'trace_an': -5}
  • id: 51507942
    {'hecke_orbit_code': 36028797052528080, 'n': 72, 'trace_an': 0}
  • id: 51507943
    {'hecke_orbit_code': 36028797052528080, 'n': 73, 'trace_an': -10}
  • id: 51507944
    {'hecke_orbit_code': 36028797052528080, 'n': 74, 'trace_an': 0}
  • id: 51507945
    {'hecke_orbit_code': 36028797052528080, 'n': 75, 'trace_an': -1}
  • id: 51507946
    {'hecke_orbit_code': 36028797052528080, 'n': 76, 'trace_an': 0}
  • id: 51507947
    {'hecke_orbit_code': 36028797052528080, 'n': 77, 'trace_an': 0}
  • id: 51507948
    {'hecke_orbit_code': 36028797052528080, 'n': 78, 'trace_an': 0}
  • id: 51507949
    {'hecke_orbit_code': 36028797052528080, 'n': 79, 'trace_an': -8}
  • id: 51507950
    {'hecke_orbit_code': 36028797052528080, 'n': 80, 'trace_an': 0}
  • id: 51507951
    {'hecke_orbit_code': 36028797052528080, 'n': 81, 'trace_an': 1}
  • id: 51507952
    {'hecke_orbit_code': 36028797052528080, 'n': 82, 'trace_an': 0}
  • id: 51507953
    {'hecke_orbit_code': 36028797052528080, 'n': 83, 'trace_an': 0}
  • id: 51507954
    {'hecke_orbit_code': 36028797052528080, 'n': 84, 'trace_an': 0}
  • id: 51507955
    {'hecke_orbit_code': 36028797052528080, 'n': 85, 'trace_an': 3}
  • id: 51507956
    {'hecke_orbit_code': 36028797052528080, 'n': 86, 'trace_an': 0}
  • id: 51507957
    {'hecke_orbit_code': 36028797052528080, 'n': 87, 'trace_an': -1}
  • id: 51507958
    {'hecke_orbit_code': 36028797052528080, 'n': 88, 'trace_an': 0}
  • id: 51507959
    {'hecke_orbit_code': 36028797052528080, 'n': 89, 'trace_an': -15}
  • id: 51507960
    {'hecke_orbit_code': 36028797052528080, 'n': 90, 'trace_an': 0}
  • id: 51507961
    {'hecke_orbit_code': 36028797052528080, 'n': 91, 'trace_an': 12}
  • id: 51507962
    {'hecke_orbit_code': 36028797052528080, 'n': 92, 'trace_an': 0}
  • id: 51507963
    {'hecke_orbit_code': 36028797052528080, 'n': 93, 'trace_an': -5}
  • id: 51507964
    {'hecke_orbit_code': 36028797052528080, 'n': 94, 'trace_an': 0}
  • id: 51507965
    {'hecke_orbit_code': 36028797052528080, 'n': 95, 'trace_an': 3}
  • id: 51507966
    {'hecke_orbit_code': 36028797052528080, 'n': 96, 'trace_an': 0}
  • id: 51507967
    {'hecke_orbit_code': 36028797052528080, 'n': 97, 'trace_an': -6}
  • id: 51507968
    {'hecke_orbit_code': 36028797052528080, 'n': 98, 'trace_an': 0}
  • id: 51507969
    {'hecke_orbit_code': 36028797052528080, 'n': 99, 'trace_an': 0}
  • id: 51507970
    {'hecke_orbit_code': 36028797052528080, 'n': 100, 'trace_an': 0}